Shyam Lal

Designation: 

Associate Professor and Professor In-Charge(Housing & Hospitality)

Date of Joining at NITK: 

Wednesday, December 18, 2013

Professional Experience: 

Total= 20+ Years and at NITK Surathkal = 10+ Years
International Experience(Foreign Visits) :
1.Visiting Professor at University of Pavia, ITALY from 19th November 2018 to 30th November 2018 (two weeks).
2.Visiting Fellow at Tokyo Institute of Technology, Tokyo, Japan from 4th July, 2016 to 15th July, 2016 (two weeks).

Contact Details

E-mail: 

shyamfec@nitk.edu.in;
shyam.mtec@gmail.com

Telephone: 

+91-824-2473522, Moblie No. 9741072082 (Whatsapp)
Faculty (author) Identifiers
Academic Background

• Ph.D(Image Processing)- Birla Institute of Technology (Deemed University), Mesra, Ranchi (JH.), India, 2013; M.Tech.(ECE) - National Institute of Technology, Kurukshetra (HR.), India , 2007; B.Tech. (EIE) - Bundelkhand Institute of Engineering & Technology ( Govt. Engg. College), Jhansi (U.P.), India, 2001.

Areas of Interest

Neural Networks and Deep Learning Architectures with Applications
Generative AI with use-cases
Quantum Machine Learning with Applications
Artificial Intelligence, Machine and Deep Learning Algorithms for Satellite Data Processing and Analysis
Artificial Intelligence, Machine and Deep Learning Algorithms for Synthetic Aperture Radar (SAR) Data Processing and Analysis
Artificial Intelligence, Machine and Deep Learning Algorithms for Medical Image Processing applications
Artificial Intelligence, Machine and Deep Learning Algorithms for Cyber Security and Internet of things (IoT) applications
Artificial Intelligence, Machine and Deep Learning Algorithms for 5G & B5G Wireless Sensor Networks applications
Optimization algorithms with Image Processing Applications
Digital Image Processing: Contrast Enhancement, De-noising, Segmentation and Classification
Satellite and Aerial Image Processing and Analysis: Enhancement, Segmentation and Classification
Histopathology Image Processing and Analysis: Nuclei Segmentation and Classification
Medical Image Processing: De-noising, Segmentation and Classification
Python programming for signal processing and image processing
Signals and Systems, Digital Signal Processing
Wireless Communication and Networks

Significant Projects

A). R & D Project : Completed

1. Project Title:Development and Real Time Implementation of Fully Automated Liver Cancer Detection System from H&E Stained liver Histopathological Images
Funding Agency :SERB - DST, Govt of India; Role :Principal Investigator
Funding Amount: 9.93 Lakhs and Project Duration : 27-07-2017- 26-07-2020 (Completed with Very Good Rating Awarded by SERB-DST)

2. Project Title: Design and Development of Algorithms for Object Extraction from High Resolution Remote Sensing Images
Funding Agency :Digital India Corporation, Ministry of Electronics and Information Technology (MeitY), Govt. of India.
Role : Principal Investigator
Funding Amount: 14.80 Lakhs and Project duration : 11-02-2019 -10-02-2021(Completed)

3. Project Title: Design and Development of Automated Kidney Cancer Detection System from H&E Stained Kidney Histopathological Images
Funding Agency :SERB - DST, Govt of India; Role : Principal Investigator
Funding Amount: 27.96 Lakhs and Project Duration : 26-03-2019 to 25-09-2022(Completed)

4. Project Title: Design and Development of Deep Learning based Automated Colon Cancer Detection System from H&E-stained Histopathology Images
Funding Agency: Google Inc, USA ; Role: Principal Investigator
Funding Amount: $5000 (INR 373,681.25) and Project duration: 19-01-2022 to 18-01-2023

5. Project Title:Development of Automatic Land Cover Change Detection and Analysis System from High Resolution Remote Sensing Images
Funding Agency : RESPOND(ISRO), Govt of India, Role: Principal Investigator
Funding Amount: 19.44 Lakhs and Project Duration :10-08-2020 to 31-08-2023

B). R & D Project :Ongoing

6. Project Title: Design and Development of Automated Software Tools for Early Forest Fire Detection and Burn Severity Analysis from Multi-sensor Satellite Imagery Data
Funding Agency: Indian Institute of Remote Sensing (ISRO), Govt. of India, Dehradun, India, Role: Principal Investigator
Funding Amount: 37.9 Lakhs and Project duration: 3 years (2022 to 2025)

7. Project Title: Design and Development of Message Authentication Techniques for NavIC
Funding Agency: ISRO RAC-S NITK Surathkal, Role: Principal Co-Investigator
Funding Amount: 21.78 Lakhs and Project duration: 2 years (2023 to 2025)

8. Project Title: Quantitative retrieval and spatiotemporal analysis of soil quality parameters using geospatial datasets and machine learning techniques in Western Plains and Ghat regions of Karnataka
Funding Agency: VGST, Government of Karnataka Role: Principal Co-Investigator
Funding Amount: 40.00 Lakhs and Project duration: 2 years (2024 to 2026)

Supervision of Ph.D

Completed: 07
Ongoing: 07

Significant Publications

Currently, ongoing research works in the area of Satellite  Data Processing and Analysis, Medical Image Processing, 5G Networks, IoT  and  Cybersecurity are as follows:

  •  OPTICAL  AND  MICROWAVE SATELLITE  DATA  PROCESSING AND ANALYSIS
  •  Deep Learning architectures  for  Land cover mapping from high resolution remote sensing images.
  •  Deep Learning architectures for de-hazing of Aerial and Multispectral spectral satellite images.
  •  Deep Learning architectures for de-noising of Aerial and Multispectral spectral satellite images.
  •  Deep Learning architectures for Land cover classification from Multispectral and Hyper spectral Satellite Images.
  •  Deep Learning architectures for  Object Detection from  Aerial and Multispectral spectral satellite images.
  •  Deep Learning architectures for Land Cover Change Analysis from high resolution remote sensing images.
  •  Deep Learning architectures for Forestry  Remote sensing Applications.
  •  Deep Learning architectures for  Synthetic Aperture Radar (SAR)  Data Analysis.
  •  Deep Learning architectures for  Land Cover Object Segmentation and Classification  from Synthetic Aperture Radar Images.
  •  Deep Learning architectures for  Land Cover Change Analysis from Bi-temporal Synthetic Aperture Radar Images.
  •  Optimization algorithm for contrast enhancement for Remote Sensing Images.
  • MEDICAL AND HISTOPATHOLOGY  DATA  PROCESSING AND ANALYSIS
  •  Deep Learning  Methods for Segmentation of  H&E Stained Histopathology Images
  •  Deep Learning  Methods  for Liver, Kidney, Colon, Lung and  Prostate Cancer Detection from  H&E Stained Histopathology Images
  •  Deep Learning  Methods  for  Multi-modal Fusion of Medical Radiology  Images
  • CYBER SECURITY, 5G NETWORKS AND INTERNET OF THINGS (IoT) 
  • Deep Learning Architectures for Cyber Security Applications
  • Deep Learning Architectures for  5G and B5G Network Applications
  • Deep Learning Architectures for IoT Healthcare and Security Applications   
  •                   
  • (A) Referred Journal Publications:

67) Amit Kumar Chanchal, Shyam Lal, Shilpa Suresh,  “Development and Evaluation of Deep Neural Networks for the Classification of Subtypes of Renal Cell Carcinoma from Kidney Histopathological Images”Scientific Reports Nature Publisher. (Under Review) IndexedSCI, Scopus (Elsevier), JCR (2022) Impact Factor: 4.996.

66)Vibha Damodara Kevala, Sravya N, K S Basavaraju, Shyam Lal, Shilpa Suresh, Fabio Dell’Acqua “TransSARNet: A Deep Learning Framework for Despeckling of SAR Images”,  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE publisher. (Under Revision) Indexed SCI, Scopus (Elsevier), JCR (2022) Impact Factor: 5.5.

65) Vibha DamodaraKevala, Shyam Lal, “NBDNet- A Deep Learning Algorithm for Despeckling of SAR Data”, SN Computer Science, 2024, Springer Nature Publisher.(Accepted),Indexed by Scopus (Elsevier)

64) Sravya N, K S Basavaraju, Shyam Lal,, "MDEANet: Modified Detail-Enhanced Convolution and Attention-based Network for Dehazing of Remote Sensing Images", Multimedia Tools and Applications",  2024, Springer Nature Publisher.(Published)  Indexedby SCI, Thomson ISI, Scopus (Elsevier), JCR (2020) Impact Factor: 2.757. 

63) Sravya N, Khyati Bhaduka,Shyam Lal, J Nalini, Chintala Sudhakar Reddy A Robust CNN Framework for Change Detection Analysis from Bi-Temporal Remote Sensing Images", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, IEEE publisher.  (Published) ,Indexed SCI, Scopus (Elsevier), JCR (2022) Impact Factor: 5.5

62)  Punith S, Raghavendra B.S,  Mahendra Pratap Singh, Shyam Lal, RMDNet-Deep Learning Paradigms for Effective Malware Detection and Classification",   IEEE  Access Journal,  2024, IEEE publisher. (Published)  Indexed by SCIE, Thomson ISI, Scopus (Elsevier), JCR (2017) Impact Factor:3.9.

61) Amit Kumar Chanchal, Shyam Lal,  Jyoti Kini, “Development of Robust CNN Architecture for Grading and Classification of Renal Cell Carcinoma Histology Images", International Journal of Machine Learning and Cybernetics, Springer Nature Publisher. (Under Review)  Indexed SCI, Thomson ISI, Scopus (Elsevier), JCR (2022) Impact Factor: 5.66.

60) Amit Kumar Chanchal, Sravya N, Shyam Lal, Sandeep Kumar, PU Prakash Saxena, “Classification and Grade Prediction of Kidney cancer Histological Images using Deep Learning"Multimedia Tools and Applications,  2024, Springer Nature Publisher.(Published) Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2020) Impact Factor: 2.757.

59) Shyam Lal, Amit Kumar Chanchal, Jyoti Kini, Gopal Krishna Upadhyay, FPGA Implementation of Deep Learning Architecture for Kidney Cancer Detection From Histopathological Images ImagesMultimedia Tools and Applications", 2023, Springer Nature Publisher.(Online Published)  Indexedby SCI, Thomson ISI, Scopus (Elsevier), JCR (2020) Impact Factor: 2.757.  DOI:10.1007/s11042-023-17895-1

58) Basavaraju KS, Solanki Hiren N, Sravya N, Shyam Lal, J Nalini, Chintala Sudhakar Reddy, BCDetNet: A Deep Learning Architecture for Building Change Detection from Bi-Temporal High Resolution Satellite Images, International Journal of Machine Learning and Cybernetics, 2023, Springer Nature Publisher.  Indexed SCI, Thomson ISI, Scopus (Elsevier), JCR (2022) Impact Factor: 5.66.

57) Shyam Lal, “TC-SegNet: Robust deep learning network for fully automatic two-chamber segmentation of two-dimensional echocardiography”, Multimedia Tools and Applications", 2023, Springer Nature Publisher.(   Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2020) Impact Factor: 2.757.

56) Amit Kumar Chanchal, Shyam Lal, Dipanshu Barnwal ,  Prince Sinha , Shrikant Arvavasu, JyotiKini, “Evolution of LiverNet 2.x: Architectures for Automated Liver Cancer Grade Classification from H&E stained Liver Histopathological Images, Multimedia Tools and Applications", 2023, Springer Nature Publisher.  Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2020) Impact Factor: 2.757.

55) Pradeep Kr. Gupta,  Amit Kr. Chanchal, Shyam Lal, Vivek Gupta, "Non-subsampled Shearlet Domain-based De-speckling Framework for Optical Coherence Tomography Images”, Journal of Engineering Science and Technology Review,vol. 16, No.2, pp. 100-106.2023, International Hellenic University, Greece Indexed by Thomson ISI, Scopus (Elsevier),Impact Factor: 0.16;  DOI: http://dx.doi.org/10.25103/jestr.162.13

54) Amit Kumar Chanchal, Shyam Lal, Jyoti Kini, “A Novel Dataset and Efficient Deep Learning Framework for Automated Grading of Renal Cell Carcinoma from Kidney Histopathology images”, Scientific Reports, 2023,  Nature Publisher.(Published)) IndexedSCI, Thomson ISI, Scopus (Elsevier), JCR (2022) Impact Factor: 4.996.

53) Deepanshi, Rahasya Barkur, Devishi Suresh, Shyam Lal ,C.Sudhakar Reddy, PG Diwakar, “RSCDNet: A robust Deep learning architecture for change detection from bi-temporal high resolution satellite images”, IEEE Transactions on Emerging Topics on Computational Intelligence,  2023, IEEE publisher. (Published) Indexed by SCIE, Thomson ISI, Scopus (Elsevier),JCR (2021) Impact Factor: 4.851.  https://doi.org/10.1109/TETCI.2022.3230941

52) Shilpa Suresh,  Ragesh Rajan, Asha CS, Shyam LalEnhanced JAYA Optimization based Medical Image Fusion in Adaptive Non Subsampled Shearlet Transform Domain”, Engineering Science and Technology, an International Journal.(Published)) Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2021) Impact Factor: 5.155

51) Sravya N, Priyanka, Shyam Lal, J Nalini, Chintala Sudhakar Reddy and Dell’Acqua Fabio, DPPNet : An Efficient and Robust Deep Learning Network for Land Cover Segmentation from High Resolution Satellite Images”,  IEEE Transactions on Emerging Topics on Computational Intelligence, 2023,  IEEE publisher.  (Published) Indexed by SCIE and  Scopus (Elsevier),JCR (2021) Impact Factor: 4.851.

50)  Abhi kalra, Aaron Sequeira, Aditya Manjunath, Shyam Lal,  A New Deep Learning Architecture for Dehazing of Aerial Remote Sensing Images”, Multimedia Tools and Applications", Springer Publisher.( Accepted)  Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2020) Impact Factor: 2.757.

49) Basavaraju KS, Sravya N, Shyam Lal, J Nalini, Chintala Sudhakar Reddy and Dell’Acqua Fabio, UCDNet: A Deep Learning Model for Urban Change Detection from Bi-temporal Multispectral Sentinel-2 Satellite Images”, IEEE Transactions on Geoscience and Remote Sensing, 2022, IEEE publisher. (Online published) Indexed by SCIE, Thomson ISI, Scopus with Impact Factor: 5.6  DOI:10.1109/TGRS.2022.3161337,

48) Ramavath, Prasad Naik, Shripathi Acharya Udupi, Shyam Lal and Prabu Krishnan, Performance Investigation of Underwater Wireless Optical System for Image Transmission through the Oceanic Turbulent Optical Medium", Optical and Quantum Electronics, Springer Publisher. (Online published) Indexed by SCIE, Thomson ISI, Scopus (Elsevier)

47) Priyanka, Sravya N, Shyam Lal, J Nalini, Chintala Sudhakar Reddy and Dell’Acqua Fabio, DIResUNet Architecture for Multiclass Semantic Segmentation of High Resolution Remote Sensing Imagery Data” Applied Intelligence, Springer Nature Publisher. (Online Published) Indexed by SCI and SCOPUS, JCR (2020) Impact Factor 5.08

46) Amit Kumar Chanchal, Shyam Lal, Jyoti KiniDeep Structured Residual Encoder-Decoder Network with a Novel Loss Function for Nuclei Segmentation of Kidney and Breast Histopathology ImagesMultimedia Tools and Applications", SpringerPublisher.(Published))  Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2020) Impact Factor: 2.757.

45) Amit Kumar Chanchal, Shyam Lal, Jyoti KiniHigh Resolution Deep Transferred ASPPU-Net for Nuclei Segmentation of Histopathology Images”,International Journal of Computer Assisted Radiology and Surgery, SpringerPublisher.(Published)  Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2020) Impact Factor: 2.924

44)  Anirudh Ashok Aatresh, Rohit Prashant Yatgiri, Amit Kumar Chanchal, Aman Kumar, Akansh Ravi, Devikalyan Das, Raghavendra BS, Shyam Lal, Jyoti Kini “Efficient Deep Learning Architecture with Dimension-wise Pyramid Pooling for Nuclei Segmentation of Histopathology Images”, Computerized Medical Imaging and Graphics, vol.93, 2021, Elsevier Publisher.(Published) Indexedby SCI, Thomson ISI, Scopus (Elsevier), JCR (2020) Impact Factor: 4.79.

43) Praveen Iyer, Sriram A, Shyam Lal, “Deep Learning Ensemble Method for Classification of Satellite Hyperspectral Images”, Remote Sensing Applications: Society and Environment, 2021, Elsevier Publisher. (Published) Indexed by ESCI, Thomson ISI, Scopus (Elsevier).

42) Karuna Kumari Eerapu,Shyam Lal,  et al., “O-SegNet : Robust Encoder and Decoder Architecture for Objects Segmentation from Aerial Imagery Data", IEEE Transactions on Emerging Topics on Computational Intelligence,  IEEE publisher. (Online published) Indexed by  SCIE, Thomson ISI, Scopus (Elsevier),Indexed by SCIE and  Scopus (Elsevier),JCR (2021) Impact Factor: 4.851.

41). Anirudh Ashok Aatresh, Kumar Alabhya, Shyam Lal, Jyoti Kini, “LiverNet: Efficient and Robust Deep Learning Model for Automatic Diagnosis of Sub-types of Liver Cancer Hepatocellular Carcinomafrom  H&E Stained Liver Histopathology Images” International Journal of Computer Assisted Radiology and Surgery,  2021, Springer Publisher.  (Published) Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2020) Impact Factor: 2.924

40). Santanu Roy, Devikalyan Das, Shyam Lal, Jyoti R Kini, “A Novel Edge Detection Method for Nuclei Segmentation of Liver Cancer Histopathology Images”, Journal of Ambient Intelligence and Humanized Computing, 2021, Springer Publisher. (Published Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2020) Impact Factor: 7.14

39) Amit Kumar Chanchal, Aman Kumar, Shyam Lal, Jyoti Kini, “Efficient and Robust Deep Learning Architecture for Segmentation of Kidney and Breast Histopathology Images”, Computers and Electrical Engineering, 2021, Elsevier Publisher. (Published) Indexedby SCI, Thomson ISI, Scopus (Elsevier), JCR (2020) Impact Factor: 3.818

38) Shilpa Suresh,  Ragesh Rajan M, Jagalingam Pushparaj,  Asha CS, Shyam Lal, C. Sudhakar Reddy, “Dehazing of Satellite Images using Adaptive Black Widow Optimization-Based Framework”,International Journal of Remote Sensing,  2021, Taylor’s and Francis Publisher.(Published)  Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2020) Impact Factor: 3.151.

37) Shyam Lal, Devikalyan Das, Kumar Alabhya, Anirudh Kanfade, Aman Kumar,  Jyoti Kini, “NucleiSegNet: Robust Deep Learning Architecture for  the Nuclei Segmentation of Liver Cancer Histopathology Images”,Computers in Biology and Medicine, vol. 128,No.104075, January  2021, Elsevier Publisher. Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2020) Impact Factor: 4.589

36) Pradeep K. Gupta, Shyam Lal, Farooq Husain, “Artificial Bee Colony Optimization Based Despeckling Framework for Ultrasound Images”, Journal of Engineering Science and Technology Review,vol. 13, No.5, pp. 20-32,2020, International Hellenic University, Greece Indexed by Thomson ISI, Scopus (Elsevier),Impact Factor: 0.19; http://dx.doi.org/10.25103/jestr.135.02

35) SumitKanu, Rohit Khoja, Shyam Lal, et al. “CloudX-Net: A Robust Encoder-Decoder Architecture for Cloud Detection from Satellite Remote Sensing Images”,  Remote Sensing Applications: Society and Environment, 2020, Elsevier Publisher.(Online published) Indexed by Thomson ISI, Scopus (Elsevier).

34) Asha C S, Munendra Singh, Shilpa Suresh, Shyam Lal,Optimized Dynamic Stochastic Resonance Framework for Enhancement of Structural Details of Satellite Images”,  Remote Sensing Applications: Society and Environment, 2020, Elsevier Publisher.(Online published) Indexed by Thomson ISI, Scopus (Elsevier)

33) Shreyas A. Simuand ShyamLal.,"A Framework for Automated Bone Age Assessment from Digital Hand Radiographs”,Multimedia Tools and Applications,vol.79, pp. 15747–15764, April 2020,Springer Publisher. Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2020) Impact Factor: 2.757

32) Shilpa Suresh and Shyam Lal,“A Metaheuristic Framework based Automatic Spatial-Spectral Grapg for Land Cover Classification from Multispectral and Hyperspectral Satellite Iamges",Infrared Physics and Technology, vol.105,103172, pp. 1-11, March 2020, Elsevier Publisher. Indexed by SCIE, Thomson ISI, Scopus (Elsevier), JCR (2018) Impact Factor: 2.313.

31) Pradeep K Gupta, Shyam Lal, Farooq Husain, “A Robust Framework for De-speckling of Optical Coherence Tomography Images”, International Journal of Advanced Science and Technology, vol. 29, No.5, pp. 4094-4106, 2020, SERSC publisher.Indexed by Scopus (Elsevier), Impact Factor: 0.11.

30) KarunaKumariEerapu, BalrajAshwath, Shyam Lal, et al.,Dense Refinement Residual Network for Road Extraction from Aerial Imagery Data,  IEEE  Access Journal,2019,  IEEE publisher. Indexed by SCIE, Thomson ISI, Scopus (Elsevier), JCR (2017) Impact Factor:4.05.

29) Pradeep K. Gupta, Shyam Lal,et al.,“Two dimensional cuckoo search optimization algorithm based despeckling filter for the real ultrasound images”, Journal of Ambient Intelligence and Humanized Computing, 2019, Springer Publisher. (Online published) Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2016) Impact Factor: 1.588.

28) Santanu Roy, Shyam Lal, et al.,“A Novel Color Normalization Method for Hematoxylin and Eosin Histopathology Images", IEEE  Access Journal,vol. 7, pp. 28982-28998, December 2019, IEEE  Access Journal, IEEE publisher. Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2017) Impact Factor :4.05.

27) Asha CS, Shyam Lal, VaradrajGurupur, PU Prakash Saxena, “Multi-modal Medical Image Fusion with Adaptive Weighted Combination of NSST Bands using Chaotic Grey Wolf Optimization”, IEEE  Access Journal,vol.7,pp. 40782-40796, December 2019, IEEE publisher. Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2017) Impact Factor:4.05.

26) Narendra Singh Pal,Shyam Lal, KshitijShinghal, “A Robust Framework for Visibility Enhancement of Foggy Images”,Engineering Science and Technology, an International Journal, vol.22, pp. 22-32, January 2019, Elsevier Publisher.  Indexed by ESCI, Thomson ISI, Scopus (Elsevier).

25) Shreyas A. Simu; Shyam Lal, et al., "Fully Automatic Segmentation of Phalanges from Hand Radiographs for Bone Age Assessment"Computer Methods in Biomechanics and Biomedical Engineering: Imaging &Visualization,vol.7,no.1,59-87,January 2019, Taylor and Francis Publisher. Indexed by ESCI, Thomson ISI, Scopus (Elsevier).

24) Shilpa Suresh and Shyam Lal, et al.,“Multi-spectral Satellite Image Denoising via Adaptive Cuckoo Search based Wiener Filter", IEEE Transactions on Geoscience and Remote Sensing,vol. 56,no.8,pp. 4334-4345, 2018,  IEEE publisher.Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2018) Impact Factor: 5.63.

23) KarunaKumari E., Devikalyan Das, ShilpaSuresh,Shyam Lal, et al., “A Robust Framework for Quality Enhancement of Aerial Remote Sensing Images”,Infrared Physics and Technology, vol.93, 2018, pp. 362-364, 2018, Elsevier Publisher. Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2017) Impact Factor: 1.851.

22) Santanu Roy, Alok Kumar Jain, Shyam Lal,  et al., “A Study about Color Normalization Methods for Histopathology Images”, Micron, vol.114, 42-62,2018,Elsevier Publisher.Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2016) Impact Factor: 1.782.

21) Narendra Singh Pal,Shyam Lal, KshitijShinghal,A Robust Visibility Restoration Framework for Rainy Weather Degraded Image”, Tem Journal, Vol.7, No.4, pp. 859-868 November,2018.Indexed by ESCI, Thomson ISI, Scopus (Elsevier).

20) Narendra Singh Pal,Shyam Lal, KshitijShinghal,"Modified Visibility Restoration based Contrast Enhancement Algorithm for Colour Foggy Images”, IETE Technical Review, vol.35, no.3, pp. 223-236, June 2018, Taylor and Francis Publisher.Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2016) Impact Factor: 1.330.

19) Narendra Singh Pal,Shyam Lal, KshitijShinghal,“Visibility Enhancement of Images Degraded by Hazy Weather Conditions using Modified Non-local Approach”Optik-International journal for light and electron, vol.63, pp. 99-113, May 2018,Elsevier Publisher. Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2016) Impact Factor: 0.835.

18) Shilpa Suresh, Devikalyan Das, Shyam Lal, et al. “Image Quality Restoration Framework for Contrast Enhancement of Satellite Remote Sensing Images”,Remote Sensing Applications: Society and Environment, vol. 10, pp.104-119, May 2018, Elsevier Publisher. (Accepted) Indexed by Thomson ISI, Scopus (Elsevier),

17) Shilpa Suresh and Shyam Lal, "Two Dimensional CS Adaptive FIR Wiener Filtering Algorithm for the Denoising of Satellite Images", EEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), vol.10, no.12, pp. 5245-525, December 2017IEEE publisher.Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR(2018) Impact factor: 3.393.(Among top 10 and 12 frequently accessed articles for IEEE JSTARS in  December 2017 and January 2018)

16) Shilpa Suresh and Shyam Lal, “Modified Differential Evolution Algorithm for Contrast and Brightness Enhancement of Remote Sensing Images,"Applied Soft Computing,Vol. 61, pp. 622-64, December 2017,Elsevier Publisher. Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2016) Impact Factor: 3.541.

15) Shreyas A. Simu and Shyam Lal, et al.,"Fully Automatic ROI Extraction and Edge-based Segmentation of Radius and Ulna Bones from Hand Radiographs for Bone Age Assessment”,Biocybernetics and Biomedical Engineering, vol. 37, no. 4, pp.718-732,October2017,ElsevierPublisher.Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2018) Impact Factor: 1.031

14) Shilpa Suresh andShyam Lal, et al. “A Novel Adaptive Cuckoo Search Algorithm for Contrast Enhancement of Satellite Images”,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), Vol. 10, No.8, pp. 3665-3676, August 2017, IEEE publisher. Article DOI: 10.1109/JSTARS.2017.2699200Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR(2016) Impact Factor: 3.393(Among top 25 frequently accessed articles for IEEE JSTARS in  August and September  2017)

13) Shilpa Suresh and Shyam Lal, “Multilevel Thresholding based on Chaotic Darwinian Particle Swarm Optimization for Segmentation of Satellite Images,"Applied Soft Computing, Vol.55, pp. 503-522, March 2017, Elsevier Publisher.Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2016) Impact Factor: 3.541. DOI: 10.1016/j.asoc.2017.02.005                    

12) Shreyas A Simu and ShyamLal,"A study about Evolutionary and Non-evolutionary Segmentation Techniques on Hand Radiographs for Bone Age Assessment," Biomedical Signal Processing and Control, Vol. 33, pp.220-235, March 2017,Elsevier Publisher. Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2016) Impact Factor: 2.27. Article DOI:10.1016/j.bspc.2016.11.016.

11) Aman Sharma, Naga Ganesh Kurapati,  Ravi Prasad K. Jagannatha, Patrice Wirab, Shyam Lal, et al.,"Modified Null Space Strategy to Solve Consensus Problem",Kuwait Journal of Science, Vol. 43, No. 4, pp. 82-94, October 2016,Academic Publication council of Kuwait University, Kuwait.Indexed by SCI, Thomson ISI, Scopus (Elsevier), JCR (2016) Impact Factor: 0.310, &[ISSN No.:2307-4108 (Print),2307-4116 (Online)].

10) ShilpaSureshandShyam Lal, "An Efficient Cuckoo Search Algorithm based Multilevel Thresholding for Segmentation of Satellite Images Using Different Objective Functions, Expert Systems with Applications, vol. 58, pp. 184-209, October 2016, Elsevier PublisherIndexed by SCI, Thomson ISI, Scopus (Elsevier), JCR(2016) Impact Factor: 3.981, & [ISSN No.: 0957-4174], Article DOI: 10.1016/j.eswa.2016.03.032.

9)ShyamLal,and Rahul Kumar,“An Efficient Method for Contrast Enhancement of Real World Hyper Spectral Images”,The International Arab Journal of Information Technology.Volume 12, No. 6A, December 2015.Indexed by SCI, Thomson ISI, Scopus (Elsevier), Impact Factor: 0.724&[ISSN No. : 1683-3198(Print)].

8)Shyam Lal,A.V. Narasimhadan and Rahul Kumar “Automatic Method for Contrast Enhancement of Natural Color Images”, Journal of Electrical Engineering & Technology", vol. 10, no. 3, pp. 1233-1243, April 2015. Indexed by SCI,  Thomson ISI, Scopus (Elsevier), Impact Factor: 0.679, & [ISSN No. : 1975-0102 (Print)].

7)ShyamLal,and Mahesh Chandra, “Efficient Algorithm for Contrast Enhancement of Natural Images,”The International Arab Journal of Information Technology, vol. 11, no.1, pp. 96-103, January 2014.Indexed by SCI, Thomson ISI, Scopus (Elsevier), Impact Factor: 0.724, & [ISSN No. : 1683-3198(Print)].

6)ShyamLal,and Rahul Kumar, “Dual Tracking Method for Real Time Object Tracking using Moving Camera,”Research Journal on Applied Science, Engineering & Technology,  vol. 5,No. 16,  pp. 4158-4167, April 2013.  Indexed by Thomson ISI, Scopus (Elsevier), SJR (2011) Impact Factor: 0.15, & [ISSN: 2040-7459 (Print), 2040-7467 (Online)] - (DOI- 6655-RJASET).

5)ShyamLal,and Rahul Kumar, “Enhancement of Hyperspectral Real World Images using Hybrid Domain Approach,”International Journal of Image, Graphics and Signal Processing, vol. 5, no. 5, pp. 29-39, April 2013.Indexed by INSPEC,Scirus(Elsevier),and DOAJ,& [ISSN: 2074-9074(Print), ISSN: 2074-9082 (Online)]-(DOI: 10.5815/ijigsp.2013.05.04).

4)ShyamLal,and Mahesh Chandra, “Image Denoising of Wavelet based Compressed Images Corrupted by Additive White Gaussian Noise,”Research Journal on Applied Science, Engineering & Technology, vol. 4, no. 17, pp. 3108-3118, 2012.Indexed by Thomson ISI, Scopus (Elsevier),SJR 2013) Impact Factor: 0.16, & [ISSN: 2040-7459 (Print), 2040-7467 (Online)-(DOI- 4683-RJASET).

3)ShyamLal,and Mahesh Chandra, “Efficient Algorithm for Enhancement of Images Corrupted by Salt & Pepper Noise,”WSEAS Transactions on Signal Processing, vol. 8, no.3, pp. 135-144, 2012. Indexed by Scopus (Elsevier), ACM, EI (Elsevier), SNIP (2011): 0.914,SJR (2013) Impact Factor:  0.19, & [ISSN No. : 1790-5022].

2)Shyam Lal, Mahesh Chandra and Gopal Krishna Upadhyay,“Efficient Algorithm for Removal of High Density Additive White Gaussian Noise,”  World Applied Sciences Journal, vol.16, no.12, pp. 1722-1733, 2012. Indexed by Thomson ISI,Scopus (Elsevier), SJR (2013) Impact Factor :0.22, & [ISSN No.: 1818-4952(Print), 1991-6426(Online)].

1)Shyam Lal, Sanjeev Kumar, and Mahesh Chandra, “Removal of High Density Salt & Pepper Noise Through Super Mean Filter for Natural Images,”International Journal on Computer Science Issue, vol. 9, no. 3, pp. 303-309, 2012.Indexed by Scopus (Elsevier),EI(Elsevier), Scirus(Elsevier), Impact Factor: 0.242, &ISSN No.:1694-0814(Online).

 

(B). Text Book/Book Chapters/Monogram

[6] Chapter Name:Automatic Deep Learning Framework for Breast Cancer Detection and Classification from H&E Stained Breast Histopathology Images

Authors Name: Anmol Verma, Asish Panda, Amit Kumar Chanchal, Shyam Lal, and B. S. Raghavendra.  Year of Published: August 2021; pp. 215-227

Book Title: Data Science,Transactions on Computer Systems and Networks; Publisher: Springer Nature Singapore Pte Ltd.; Editors: Gyanendra K. Verma, Badal Soni. Salah Bourennane. Alexandre C. B. Ramos;  ISBN 978-981-16-1680-8   ISBN 978-981-16-1681-5 (eBook)      https://doi.org/10.1007/978-981-16-1681-5_14

[5] Chapter Name:Efficient Deep Learning Framework with Group Convolution for Segmentation of Histopathology Image; 

Authors Name: Amit Kumar Chanchal, Aman Kumar, Kumar Alabhya, Shyam Lal, Jyoti Kini;  Year of Published: June 2021, pp.383-392

Book Title: Intelligent Computing and Communication System Algorithms for Intelligent Systems;  Publisher: Springer Nature Singapore Pte Ltd.

Editors: Brahmjit Singh, Carlos A. Coello Coello, Poonam Jindal, Pankaj Verma ; ISBN 978-981-16-1294-7 & ISBN 978-981-16-1295-4 (eBook);   https://doi.org/10.1007/978-981-16-1295-4_39

[4] Chapter Name:Feature Extraction of Normalized Colorectal Cancer Histopathology Images

Authors Name: Alok Kumar Jain and Shyam Lal;  Year of Published: 2019 ;  

Book Title: Ambient Communications and Computer Systems;  Publisher: Springer Nature Singapore Pte Ltd.

Editors: Y.C. Hu, S.Tiwari, K.K. Mishra, M. C. Trivedi ;  ISBN/ ISSN No. : ISBN 978-981-13-5933-0

https://doi.org/10.1007/978-981-13-5934-7_42

[3] Chapter Name: Enhancement of Digital Images using Non-Linear Filters

Authors Name: Shyam Lal, Mahesh Chandra Gopal Krishna Upadhyay, and Akhilesh R. Upadhyay; Year of Published: 2010

Book Title: Advances in Computer Vision and Information Technology ; Editors: K.V.Kale, S.C. Mehrotra, R.R. Manza ; ISBN/ ISSN No. :  ISBN-978-93-80026-95-4;  Publisher: International Publishing House Pvt. Ltd, New Delhi

[2]  Chapter Name: Simulation Based Analysis of Distance Based Adaptive Handoff Algorithm

Authors Name: Shyam Lal and Deepak Kumar Panwar, Year of Published: 2009

[1].Book Title: Advances in Computer Vision and Information Technology

Publisher: I.K.International Publishing House Pvt. Ltd, New Delhi ; Editors: K.V.Kale, S.C. Mehrotra, R.R. Manza ;ISBN/ ISSN No. : ISBN-978-81-89866-74-7

(C). Referred International Conferences/Seminar

10)Shyam Lal, AnirudhKanfade, Kumar Alabhya, Russel Dsouza, Aman Kumar, Amit Kumar Chanchal, Maneesh M, GokulPeryail,JyotiKini, “A Robust Method for Nuclei Segmentation of H&E Stained Histopathology Images”, 7th IEEE International Conference on Signal Processing and Integrated Networks(SPIN2020), Amity University,Delhi NCR, Noida, UP., February 27-28, 2020.

9) Narendera Singh Pal, Shyam Lal and KshitijShinghal, “A Visibility Restoration Framework for rainy images by using Lo gradient minimization and Bilateral Filtering”,IEEE International Conference on Advances in Computing, Communication, Control an Networking(ICACCCN-2018), Galgotias College of Engineering & Technology, Delhi NCR, Greater Noida, UP., October 12-13, 2018.

8) Pradeep K. Gupta, Shyam Lal, Farooq Husain,“Comparative Analysis of Different Despeckling filters used for Retinal Optical Coherence Tomography Images”,2nd IEEE International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE 2018), SRM Delhi NCR Campus, Ghaziabad,UP, India, September 20-21,2018. (Accepted).

7) Alok Kumar Jain and Shyam Lal,Feature Extraction of Normalized Colorectal Cancer Histopathology Images”, Springer 3rdInternational Conference on Recent Advancements in Computer, Communication and Computational Sciences (RACCCS- 2018),Aryabhatta College of Engineering & Research Center, Ajmer, India during August 10-11, 2018.

6) Shilpa Suresh, Devikalyan Das, and Shyam Lal,“A Framework for Quality Enhancement of Multispectral Remote Sensing Images”, 9th IEEE International Conference on Advanced Computing (ICoAC-2017), Chennai, Tamil Nadu, December 14 – 16, 2017.

5) Shreyas A Simu and Shyam Lal, “Automated Bone Age Assessment using Bag of Features and Random  Forests”, Proc. of  IEEE  International Conference on Intelligent Sustainable  Systems (ICISS 2017), Coimbatore, Tamil Nadu, December 7-8, 2017.

4) Narendera Singh Pal, Shyam Lal and KshitijShinghal, "An Improved Method for Visibility Enhancement of Foggy Images", Proc. of IEEE International Conference on Emerging Trends in Electrical, Electronics & Sustainable Energy Systems (ICETEESES-16) by KNIT, Sultanpur (UP), India, pp. 350-354, March 11-12, 2016.DOI: 10.1109/ICETEESES.2016.7581408.

3) Abhinav Sridhar, Srivatsa Sridhar, and Shyam Lal,"A Novel Solution to Routing in Cognitive Radio Ad-hoc Networks in High Primary User Traffic Environments"   Proceedings of 2015 IEEE International Advance Computing Conference organized by B.M.S. College of Engineering, Bangalore, India, pp. 905-909, June 12-13, 2015. DOI:10.1109/IADCC.2015.7154836.

2)ShyamLal,Rahul Kumar and Mahesh Chandra, “An Improved Method for Contrast Enhancement of Real World Hyperspectral Images”, 9th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (Qshine 2013), jointly organized by Gautam Buddha University, Gr. Noida, India and EAI, USA, January 11-12, 2013 published by Springer LNICST, vol. 115, pp. 273-282, 2013.

1)Shyam Lal, Mahesh Chandra, and Gopal Krishna Upadhyay, “Vision based Real Time Object Tracking Using a Moving Camera,”In the Proceedings of International Conference on Systemics, Cybernetics and Informatics (ICSCI-2012), Pentagram Research  Centre Pvt. Ltd., Hyderabad, India, pp. 29-33, February 15-18, 2012.

 

[D] Patents (Filed & Published):

 

  • Sandeep Kumar, Hanjung song, Shyam Lal, Prabu K, “Reconfigurable Triple-Band On-Chip Nano Antenna for Terahertz Applications” Application No. 202141032871, Indian Patent Filing Date: 07/22/2021 [Filed].
Achievements

A). AWARDS AND RECOGNITION
• Chairperson, IEEE GRSS (Geoscience and Remote Sensing Society) Bangalore Chapter from January 2024.
• Received Award for Outstanding Research Publication (AORP) under VGST scheme of FY 2022-23 from Vision Group on Science and Technology (VGST), Department of Electronics, Information Technology, Biotechnology and Science & Technology, Government of Karnataka.
• Received the Google Cloud Research Award of $5000 (INR 373,681.25) for the project of " Design and Development of Deep Learning based Automated Colon Cancer Detection System from H&E-stained Histopathology Images” on 19th January 2022
• Vice -chair, IEEE GRSS (Geoscience and Remote Sensing Society) Bangalore Chapter from January 2021 -December 2023.
• Awarded the prestigious “Young Faculty Research Fellowship” award under Visvesvaraya PhD Scheme for Electronics & IT from Digital India Corporation (formerly Media Lab Asia), Ministry of Electronics and Information Technology(MeitY), Govt. of India.
• Received IEEE Senior Membership in 2018 for significant contribution in technical fields.
• Outstanding Reviewer Award from “Applied Soft Computing Journal” , Elsevier Publisher in November 2018.
• Outstanding Reviewer Award from Biomedical Signal Processing and Control Journal, Elsevier publisher in February 2018.
• Received best paper award for the research paper entitled “Automated Bone Age Assessment using Bag of Features and Random Forests” IEEE Conference on
Intelligent Sustainable Systems (ICISS-2017) organized by SCADA Institute of Technology on December 7-8, 2017 at Palladam, Tamil Nadu, India.
• Early Career Research Award (Young Scientist Award), 2017, SERB-DST, Govt. of India
• Outstanding Reviewer Award from Applied Acoustics Journal, Elsevier publisher in September 2017.
• Outstanding Reviewer Award from Journal of Computational and Applied Mathematics Elsevier publisher in January 2017.
• Outstanding Reviewer Award from Expert System with Applications Journal, Elsevier publisher in October 2016.
• Secured 10.00 S.G.P.A in M.Tech. - 3rd Semester.
• M.H.R.D Fellowship during M.Tech.(July, 2005- June, 2007)
• Stood 10th Position in B.Tech.

B). INTERNATIONAL EXPERT TALKS:
[3]. Delivered technical expert lecture on “Practical Demonstration of Deep Learning Algorithms for LULC Mapping from High Resolution Remote Sensing images” on 24th May 2024 via teleconferencing facilities University of Milan – Bicocca, ITALY.
[2]. Delivered technical expert lecture on “Applications of Deep Learning Algorithms for Histopathological Image Analysis” on 16th May 2024 via teleconferencing facilities Organized Torrens University, AUSTRALIA.
[1]. Delivered technical seminar on “Unveiling the Earth's Surface: Deep Learning for Precise Land Use Land Cover Maps Updating” on 9th May 2024 via teleconferencing facilities for the participants of Ph.D. Program in Electronics, Computer Science and Electrical Engineering, Organized by Dept. of Electrical, Computer and Biomedical Eng., University of Pavia – Via Ferrata, 5 – Pavia, ITALY.

C). CONFERENCE KEYNOTE LECTURES/ TUTORIAL TALKS/ RESEARCH PROJECT/PAPER WRITING TALK
[5] Delivered technical expert lecture on “Detailed Writing Methodology for Technical Research paper with Case Study in Machine Learning and Deep Learning” on 25th April 2024 during seven days Faculty Immersion Programme on “NIRF- Parameters" from 22rd April to 27th April, organized by Institution Research and Development cell (IRDC) of Dayananda Sagar Academy of Technology and Management, Bangalore, Bengaluru, Karnataka, India.
[4] Delivered technical expert lecture on “Deep Learning Architectures for Classification of Liver Cancer Grades from Histopathology Images” 21st December 2023 in Two Days National Conference on “Applied Computational Intelligence-2023” during 21-12-2023 to 22-12-2023 organized by Department of Electronics and Communication Engineering, JSS Academy of Technical Education, Bengaluru, Karnataka, India
[3]. Delivered expert lecture on “Project writing and Funding Opportunity” on 12th December 2023 organized By Department of Research and Development and Department of Electronics and Communication Engineering, Sir MVIT, Bengaluru, Karnataka, India
[2]. Delivered technical expert lecture on “Delivered Keynote address on Hands-on Deep Learning Algorithms for Land Cover Mapping from Satellite Remote Sensing Images” on 16th December 2023 during InC4 Conference at Christ University Bengaluru, Karnataka.
[1] Delivered technical expert lecture on “Project Proposal Writing and Funding Opportunities” on 8th November 2023 in a Lecture Series on Innovative Research Organized By jointly organized by Department of Research and Development and Department of AI & ML, New Horizon College Of Engineering, Bengaluru, Karnataka

D). INVITED TALK and EXPERT LECTURES:
[114] Delivered technical expert lecture on “AI Computing Algorithms for Satellite Remote Sensing Applications in One Day workshop on Computing Algorithms for Geoscience and Remote Sensing Data Analysis on 5th July 2024, Jointly Organized by Jointly Organized IEEE GRSS Bangalore Chapter and BNMIT Bangalore, Karnataka, India
[113] Delivered technical expert lecture on “Artificial Intelligence Algorithms for Synthetic Aperture Radar (SAR) Data Analysis on 4th July 2024 in 3-days Continuing Education Programme (CEP) course on " Artificial Intelligence in Airborne and Spaceborne Radars" during July 03-05,2024 organized by Electronics & Radar Development Establishment (LRDE), DRDO, Bangalore, Karnataka, India
[112] Delivered technical expert lecture on “ AI Tools for Energy Devices on 21st June 2024 in the one week SERB-sponsored High–end workshop on “Application of Artificial Intelligence in Smart Energy Generation and Storage” during June 19-25, 2024, Organized by Department of ECE, NIT Karnataka, Surathkal, Karnataka, India
[111] Delivered technical expert lecture on “Artificial Intelligence Algorithms for Energy Devices on 19th June 2024 in the one week SERB-sponsored High–end workshop on “Application of Artificial Intelligence in Smart Energy Generation and Storage” during June 19-25, 2024, Organized by Department of ECE, NIT Karnataka, Surathkal, Karnataka, India
[110] Delivered technical expert lecture on “Artificial Intelligence Algorithms for Remote Sensing Data Analysis in One Day workshop on Recent Trends in Remote Sensing data Analysis on 18th June, 2024 by Jointly Organized by IEEE GRSS Bangalore Chapter and NMIT, Bangalore, Karnataka, India
[109] Delivered technical expert lecture on “Artificial Intelligence In Indian Defence Sectors on 13th June 2024 in 5-days Continuing Education Programme (CEP) course on "Indigenous GIS for Military Applications" during 10-14 June 2024 organized by Centre for Artificial intelligence and Robotics (CAIR), DRDO, Bangalore, Karnataka, India
[108] Delivered technical expert lecture on “Deep Learning Algorithms for Agriculture Applications on 12th June 2024 in the SERB-sponsored High–end workshop on “Artificial Intelligence Models for Remote Sensing and its Applications (AIRS 2024) ” during June 06-12, 2024, Organized by Department of Computer Science and Engineering, NIT Puducherry, India
[107] Delivered technical expert lecture on “Open-Source Remote Sensing Datasets and Advance Deep Learning Algorithms in One Day workshop on Recent Trends in Satellite data Analysis on 25th May 2024, by IEEE GRSS Bangalore Chapter and PA College of Engineering, Mangalore, Karnataka, India
[106] Delivered technical expert lecture on “Python Implementation of Deep Learning Techniques for identifying diagnostic information from ECG/PCG Signals” on 18th May 2024 in the SERB-sponsored Karyashala workshop on “Deep Learning for Biomedical Signal Processing” during May 13-19, 2024, Organized by Department of Electronics and Communication Engineering, NIT Puducherry, India
[105] Delivered technical expert lecture on “Deep Learning Architectures for Done Data Analysis” on 27th April 2024 via virtual mode organized by IEEE Hyderabad CIS & GRSS Jt.
[104] Delivered expert lecture on “Deep Learning Architectures for Land Cover Segmentation from Satellite Remote Sensing Images” on 25th February 2024 in one week Faculty Development Program (FDP) on Recent Trends in Signal Processing and Its Applications ” during 26th February 2024 to 2nd March 2024 organized by Department of Electronics and Communication Engineering, The National Institute of Engineering, Mysuru, Karnataka, India
[103] Delivered expert lecture on “Applications of Deep Learning Architectures for IoT Data Analysis on 167th January 2024 in 5 Days ATAL FDP on AI in IoT ” during 15th January 2024 to 20th January 2024 organized by Department of Computer Science and Engineering, AMC College of Engineering, Bengaluru, Karnataka, India
[102] Delivered expert lecture on “Deep Learning Architectures for Drone Data Classification” on 16th January 2024 in 5 Days FDP on Emerging Trends in UAV and Practical Applications” during 16th January 2024 to 20th January 2024 jointly organized by IEEE GRSS Bangalore Section, NIE IEEE GRSS Student Branch Chapter, and Department of Civil Engineering, The National Institute of Engineering, Mysuru, Karnataka, India
[101] Delivered expert lecture on “Deep Learning Architectures for Classification of Liver Cancer Grades from Histopathology Images ” on 21st December 2023 in Two Days National Conference on “Applied Computational Intelligence-2023” during 21-12-2023 to 22-12-2023 organized organized by Department of Electronics and Communication Engineering ., JSS Academy of Technical Education, Bengaluru, Karnataka, India
[100] Delivered expert lecture on “Deep Learning Models for Classification of Liver Cancer Grades from Histopathology Images ” on 16th December 2023 in the AICTE-ATAL-Faculty Development Programme" on Emerging Significance of Artificial Intelligence in Healthcare and Education: Current Perspectives" during December 11th to 16th, 2023 organized By Srinivas Institute of Technology, Mangaluru, Karnataka.
[99] Delivered technical expert lecture on “Deep Learning Algorithms for Data Classification” on 21st November 2023 in the online Short-Term Course on “Mathematics with Computational Learning for Engineering and Technological Applications (MCET 2023)” organized by the Department of Mathematics, Dr. B. R. Ambedkar National Institute of Technology Jalandhar during November 20-24, 2023.
[98] Delivered expert lecture on “ Hands-on Deep Learning Algorithms for Forest Segmentation from Satellite Images ” on 7th November 2023 in the Two Days online winter workshop on “Recent Algorithms for Forest Remote Sensing Applications (RAFRSA2023)” during November 06-07, 2023 jointly organized by IEEE GRSS Bangalore Section, NITK IEEE GRSS Student Branch Chapter, and Department of Electronics and Communication Engineering, National Institute of Technology Karnataka (NITK), Surathkal, Mangaluru, Karnataka, India
[97] Delivered technical expert lecture on “Deep Learning Algorithms for Drone data Classification” 28th October 2023 in 2023 in a online Drone Boot camp during October 26-28,2023 organized by Department of Electronics and Communication Engineering, Dhanekula Institute of Engineering and Technology (Autonomous), Vijayawada (A.P.) India
[96] Delivered expert lecture on “Hands-on Deep Learning Algorithms for Landslide Mapping from Satellite Remote Sensing Images” on 14th September 2023 in the DRDO Sponsored One-week online Workshop “Advances In Landslide Risk Assessment and Mitigation during September 11-15, 2023 organized by Department of Civil Engineering, JSS Academy of Technical Education, Bengaluru, Karnataka, India
[95] Delivered expert lecture on “Hands-on Deep Learning Models for Agriculture Crop Classification” on 10th August 2023 in the Five days online summer school on “New Horizons in Remote Sensing: Basics and Beyond” during 08-12 August 2023 jointly organized by IEEE GRSS Bangalore Section, NIE IEEE GRSS Student Branch Chapter, and Department of Civil Engineering, The National Institute of Engineering, Mysuru, Karnataka, India
[94] Delivered expert lecture on “Artificial Intelligence in Remote Sensing” on 10th June 2023 organized by department of Electronics and Communication Engineering, Alvas Institute of Engineering and Technology, Moodbidri, Mangaluru, Karnataka, India
[93] Delivered technical expert lecture on “Deep Learning Algorithms for Land Cover Segmentation from Satellite Remote Sensing Images” 27th April 2023 in a short-term course on “Emerging Trends in Signal Processing, Communication and VLSI (ETSPCV-2023)" in virtual mode during April 24-29, 2023 organized by Department of Electronics and Communication Engineering, National Institute of Technology Delhi, India.
[92] Delivered expert lecture on “Hands-On- Ai Digital Assistance Using Python” On 2nd September 2022 During Fdp On “Hands-On Applications Of Artificial Intelligence Using Python” [September 02-03, 2022] Organized By PBR Visvodaya Institute Of Technology & Science Nellore District (A.P.), India
[91] Delivered expert lecture on “Hands-On Deep Learning Architectures For Classification of Images” on 2nd March 2023 During Two Days Online Practical Training Program On Machine Learning And Deep Learning Architectures With Applications From 02-03-2023 To 03-03-2023 Organized By Department Of AI & Ml, New Horizon College Of Engineering, Bengaluru, Karnataka
[90]Delivered expert lecture on “Hands-On Deep Learning Architectures For Brain Tumor Detection From MRI Scan Images” On 3nd March 2023 During Hands-On Deep During Two Days Online Practical Training Program On Machine Learning And Deep Learning Architectures With Applications From 02-03-2023 To 03-03-2023 Organized By Department Of AI & Ml, New Horizon College Of Engineering, Bengaluru, Karnataka
[89] Delivered expert lecture on "Hands-On Deep Learning Architectures For Image Classification” On 21st March 2023 During Two Days Online Practical Training Program On Machine Learning And Deep Learning Architectures With Applications
From 20-03-2023 To 21-03-2023 Organized By Department Of Computer Science And Engineering, PBR Visvodaya Institute Of Technology And Science, Nellore, Andhra Pradesh, India
[88] Delivered expert lecture on "Hands-On Building Ai Digital Assistant Using Python" On 21st March 2023 During Two Days Online Practical Training Program On Machine Learning And Deep Learning Architectures With Applications
From 20-03-2023 To 21-03-2023 Organized By Department Of Computer Science And Engineering, PBR Visvodaya Institute Of Technology And Science, Nellore, Andhra Pradesh, India.
[87] Delivered expert lecture on “Practical demonstration on Deep Neural networks” on 20th July 2022 in the High-End Workshop on “Applications of Artificial Intelligence and Machine learning tools in microwave and Radar Signal Processing” sponsored by Accelerate Vigyan (DST-SERB), Govt. of India during 18th –24th July 2022 organized by Department of Electronics and Communication Engineering, National Institute of Technology Andhra Pradesh, India
[86] Delivered expert lecture on “Deep neural networks for image processing” on 19th July 2022 in the High-End Workshop on “Applications of Artificial Intelligence and Machine learning tools in microwave and Radar Signal Processing” sponsored by Accelerate Vigyan (DST-SERB), Govt. of India during 18th – 24th July 2022 organized by Department of Electronics and Communication Engineering, National Institute of Technology Andhra Pradesh, India
[85] Delivered expert lecture on “Deep Learning Architectures for Land Cover Classification from Satellite Images” on 15th July 2022 in the 5 Days online summer workshop on “Recent Algorithms for Remote Sensing Applications (RARSA2022)” during July 12-16, 2022 jointly organized by IEEE GRSS Bangalore Section, NITK IEEE GRSS Student Branch Chapter, NITK IEEE Student Branch and Department of Electronics and Communication Engineering, NIT Karnataka, Surathkal, Karnataka, India.
[84] Delivered expert lecture on “Introduction and Applications of ML and DL for Remote Sensing Applications” on 12th July 2022 in the 5 Days online summer workshop on “Recent Algorithms for Remote Sensing Applications (RARSA2022)” during July 12-16, 2022 jointly organized by IEEE GRSS Bangalore Section, NITK IEEE GRSS Student Branch Chapter, NITK IEEE Student Branch and Department of Electronics and Communication Engineering, NIT Karnataka, Surathkal, Karnataka, India
[83] Delivered expert lecture on “Building of Deep Learning Architectures for Medical Image Processing Applications” on 1st July 2022 in the Faculty development Programme (FDP) (Online Short-Term Course) on “Python programming for Artificial Intelligence (AI), High-Performance Computing (HPC), and Data Analytics” during 20th June 2022 to 1st July 2022 Jointly Organized by E & ICT Academy, National Institute of Technology, Warangal & Dept. of ECE, JSS Academy of Technical Education, Bangalore, Karnataka, India
[82] Delivered expert lecture on “Building of Deep Learning Architectures for Medical Image Processing Applications” on 1st July 2022 in the Faculty development Programme (FDP) (Online Short-Term Course) on “Python programming for Artificial Intelligence (AI), High-Performance Computing (HPC), and Data Analytics” during 20th June 2022 to 1st July 2022 Jointly Organized by E & ICT Academy, National Institute of Technology, Warangal & Dept. of ECE, JSS Academy of Technical Education, Bangalore, Karnataka, India
[81] Delivered expert lecture on “Building Deep Neural Networks using Deep Learning Framework (i.e. Keras and TensorFlow)” on 28th June 2022 in the Faculty development Programme (FDP) (Online Short-Term Course) on “Python programming for Artificial Intelligence (AI), High-Performance Computing (HPC), and Data Analytics” during 20th June 2022 to 1st July 2022 Jointly Organized by E & ICT Academy, National Institute of Technology, Warangal & Dept. of ECE, JSS Academy of Technical Education, Bangalore, Karnataka, India
[80] Delivered expert lecture on “Introduction and practical demonstration of Deep Learning Frameworks (i.e. Keras/ TensorFlow)” on 21st June 2022 in the Science and Engineering Research Board(SERB)sponsored FDP on “Artificial Intelligence for Communication and Signal Processing Applications” from 20 June 2022 to 24 June 2022 organized by School of ECE, REVA University, Bengaluru, Karnataka
[79] Delivered expert lecture on “Introduction and Applications of AI and ML for signal processing and communication” on 20th June 2022 in the Science and Engineering Research Board(SERB)sponsored FDP on “Artificial Intelligence for Communication and Signal Processing Applications” from 20 June 2022 to 24 June 2022 organized by School of ECE, REVA University, Bengaluru, Karnataka
[78] Delivered technical expert lecture on “Deep learning Architectures for Healthcare Applications” 6th June 2022 in a short-term course on “Emerging Trends in Signal Processing, Communication and VLSI (ETSPCV-2022)" in virtual mode during June 06 - 11, 2022 organized by Department of Electronics and Communication Engineering, National Institute of Technology Delhi, India,
[77] Delivered technical expert lecture on “Advanced CNNs Models for Remote Sensing Applications” 25th May 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 21-04-2022 To 25-05-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[76] Delivered technical expert lecture on “Building 1D CNNs for Time Series Remote Sensing Data Application” 23rd May 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 21-04-2022 To 25-05-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[75] Delivered technical expert lecture on “Introduction and Mathematical understanding of 1D CNNs” 21st May 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 21-04-2022 To 25-05-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[74] Delivered technical expert lecture on “Building 2D CNNs for Land Cover Change Detection from satellite images” 20th May 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 21-04-2022 To 25-05-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[73] Delivered technical expert lecture on “Building 2D CNNs for Land Cover Change Detection from satellite images” 18th May 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 21-04-2022 To 25-05-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[72] Delivered technical expert lecture on “2D CNNs for Land Cover Change Detection from satellite images” 16th May 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 21-04-2022 To 25-05-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[71] Delivered technical expert lecture on “Building 2D CNNs for Land Cover Segmentation of Satellite Images” 16th May 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 21-04-2022 To 25-05-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[70] Delivered technical expert lecture on “2D CNNs for Object Segmentation from Aerial and Satellite Images” 14th May 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 21-04-2022 To 25-05-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[69] Delivered technical expert lecture on “Building of 2D CNNs for Agriculture Crop classification from Remote Sensing Images” 13th May 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 21-04-2022 To 25-05-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[68] Delivered technical expert lecture on “Advance 2D CNNs for Land Cover Classification from satellite images” 12th May 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 21-04-2022 To 25-05-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[67] Delivered technical expert lecture on “Building 2D CNNs for Land Cover Classification from satellite images” 11th May 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 21-04-2022 To 25-05-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[66] Delivered technical expert lecture on “Building of 2D CNNs Architecture for Multiclass Classification task using Python and Keras and Tensorflow” 9th May 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 21-04-2022 To 25-05-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[65] Delivered technical expert lecture on “Building of 2D CNNs Architecture for Binary Classification Task using Python and Keras and Tensorflow” 7th May 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 21-04-2022 To 25-05-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[64] Delivered technical expert lecture on “Building ANN for Multiclass Image Classification Applications using Python and Keras and Tensorflow” 2nd May 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 21-04-2022 To 25-05-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[63] Delivered technical expert lecture on “Building of ANN for Binary Image Classification Applications using Python and Keras and Tensorflow” 30th April 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 21-04-2022 To 25-05-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[62] Delivered technical expert lecture on “Building of ANN for regression task using Python and Keras and Tensorflow 29th April 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 21-04-2022 To 25-05-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[61] Delivered technical expert lecture on “Introduction of Keras and Tensorflow and Building of ANN using Python on 27th April 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 21-04-2022 To 25-05-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[60] Delivered technical expert lecture on “Python Programming- Image Processing with Python and OpenCV2” on 23rd April 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 21-04-2022 To 25-05-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[59] Delivered technical expert lecture on “Introduction and Applications of AI, ML and DL in remote sensing” on 21st April 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 21-04-2022 To 25-05-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[58] Delivered technical expert lecture on “Deep Learning Architectures for Satellite Image Hands-on Advanced CNN Models for Remote Sensing Applications” on 13th March 2022 in FDP on “Satellite image analysis and applications using deep learning” during March 11-13,2022 Organized by Department of Mathematical and Computational Sciences, National Institute of Technology Karnataka, Surathkal & NIT Karnataka IEEE GRSS SBC
[57] Delivered technical expert lecture on “Hands-on Advanced CNN Models for Remote Sensing Applications” on 21st February 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 17-01-2022 To 21-02-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[56] Delivered technical expert lecture on “Advanced CNN Models for Remote Sensing Applications” on 21st February 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 17-01-2022 To 21-02-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[55] Delivered technical expert lecture on “Hands-on 1D CNN for Time Series RS data” on 19th February 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 17-01-2022 To 21-02-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[54] Delivered technical expert lecture on “Hands-on 2D CNN for Agriculture Crop classification” on 19th February 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 17-01-2022 To 21-02-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[53] Delivered technical expert lecture on “Introduction and Mathematical understanding of 1D CNN” on 19th February 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 17-01-2022 To 21-02-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[52] Delivered technical expert lecture on “Hands-on 2D CNN for Land Cover Segmentation of Satellite Images” on 18th February 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 17-01-2022 To 21-02-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[51] Delivered technical expert lecture on “2D CNN for Land Cover Segmentation of Satellite Images” on 18th February 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 17-01-2022 To 21-02-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[50] Delivered technical expert lecture on “2D CNN for Land Cover Classification from satellite images” on 12th February 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 17-01-2022 To 21-02-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[49] Delivered technical expert lecture on “Implementation of 2D CNN Architecture for Binary and Multiclass Classification task using Python and Keras and Tensorflow” on 11th February 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 17-01-2022 To 21-02-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[48] Delivered technical expert lecture on “Advance 2D CNN Architectures for Classification Task using Python and Keras and Tensorflow ” on 11th February 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 17-01-2022 To 21-02-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[47] Delivered technical expert lecture on “Hands- Building ANN for Multiclass Image Classification Applications using Python” on 5th February 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 17-01-2022 To 21-02-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[46] Delivered technical expert lecture on “Hands-on Building ANN for Binary Image Classification Applications using Python and Keras and TensorFlow” on 31st January 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 17-01-2022 To 21-02-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[45] Delivered technical expert lecture on “Hands-on Building of ANN for regression task using Python and Keras and TensorFlow” on 31st January 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 17-01-2022 To 21-02-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[44] Delivered technical expert lecture on “Python Programming- Image Processing with Python and OpenCV2” on 22nd January 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 17-01-2022 To 21-02-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[43] Delivered technical expert lecture on “Introduction and Applications of AI, ML and DL in Remote Sensing” on 22nd January 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 17-01-2022 To 21-02-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[42] Delivered technical expert lecture on “Introduction and Applications of AI, ML and DL in Remote Sensing” on 17th January 2022 in Two Weeks Online Practical Training Program on Machine Learning and Deep Learning for Remote Sensing Applications (MLDLRSA2022) from 17-01-2022 To 21-02-2022 Conducted by Dept. of ECE, NITK Surathkal and hosted by National Remote sensing Centre-NRSC(ISRO), Hyderabad, India
[41] Invited as technical expert to deliver lecture on “Applications of Deep Learning Architectures on 3rd January 2022 in AICTE-ISTE Sponsored Six Days Online Refresher Program on “Data Science & Block Chain” from 3rd January 2022 to 8th January 2022, Organized CSMSS Chh. Shahu College of Engineering, Aurangabad, Maharashtra, India
[40] Invited as technical expert to deliver lecture on “Hands –on Deep learning architectures for Classification of Sub-types of Liver Cancer from Histopathology Images using Python 17th December 2021 in SERB FDP on Applications of Artificial Intelligence in Digital Histopathology” from 13th December 2021 to 17th December 2021 Organized by Department of ECE, NITK Surathkal, Karnataka, India
[39] Invited as technical expert to deliver lecture on “Deep learning Architectures for Classification of Sub-types of Liver Cancer from Histopathology Images” on 16th December 2021 in SERB FDP on Applications of Artificial Intelligence in Digital Histopathology” from 13th December 2021 to 17th December 2021 Organized by Department of ECE, NITK Surathkal, Karnataka, India
[38] Invited as technical expert to deliver lecture on “Applications of Artificial Intelligence (AI) in Digital Histopathology on 13th December 2021 in SERB FDP on Applications of Artificial Intelligence in Digital Histopathology” from 13th December 2021 to 17th December 2021 Organized by Department of ECE, NITK Surathkal, Karnataka, India.
[37] Invited as technical expert to deliver lecture on “Hands-on Deep Learning for LULC Classification from Satellite Images” on 9th December 2021 in “Computational Intelligence in Remote Sensing” from 6th December 2021 to 11th December 2021 Organized by, IEEE GRSS Mumbai Chapter and Ramrao Adik Institute of Technology, Nerul, Navi Mumbai, Maharashtra, India.
[36] Invited as technical expert to deliver lecture on “Deep Learning for Analysis of Histopathology Images” on 8th November 2021 in “Two Days Online Workshop on Recent Advancements in Biomedical Imaging and Image Processing” from 8th November to 9th November 2021, Organized by North-Eastern Hill University, Shillong, Meghalaya, INDIA
[35] Invited as technical expert to deliver lecture on “Deep Learning for Smart Grids Application” on 9th September 2021 in “Two weeks National Workshop on Emerging Trends in Smart Grid and Sustainable Energy and Technology” during September 03-12, 2021 organized by the department of Computer Science and Engineering, Electronics and Communication Engineering and Electrical Engineering NIT Meghalaya, India.
[34] Invited as technical expert to deliver lecture on “Artificial Intelligence for Healthcare Applications” on 3rd September 2021 in “Faculty Development Program on Artificial Intelligence in REAL LIF from 31st August 2021 to 6th September 2021 organized by Department of Computer Science and Engineering, PESITM, Shivamogga, Karnataka, India in association with the IEEE PESITM Student branch, Karnataka, India.
[33] Invited as technical expert to deliver lecture on “Applications of Artificial Intelligence in Smart Grids” on 10th August 2021 in “AICTE ATAL FDP on “IoT INTERFACED SMART GRID TECHNOLOGY (IISGT-21) from 9th to 13th August 2021 organized by Department of EEE, Gayatri Vidya Parishad College of Engineering(A), Visakhapatnam , A.P. India
[32] Invited as technical expert to deliver lecture on “ Deep Learning Architecture for Digital Histopathology Images” on 20th July 2021 in “AICTE ATAL FDP on AI In Revolutionizing Healthcare “ during July 19-23, NIT Puducherry, India
[31] Invited as technical expert to deliver lecture on “Hands-on on 2D CNN for classification of Remote sensing images using Python” on 14th July 2021 in “Two weeks online Summer School on Machine and Deep Learning for Remote Sensing Application” during July 05-16, 2021 jointly organized by IEEE GRSS Bangalore Section, NITK IEEE Student Branch, and Department of Electronics and Communication Engineering, NITK Surathkal, Karnataka, India
[30] Invited as technical expert to deliver lecture on “Hands-on on 2D CNN for Land Cover Segmentation of Satellite Images using Python” on 14th July 2021 in “Two weeks online Summer School on Machine and Deep Learning for Remote Sensing Application” during July 05-16, 2021 jointly organized by IEEE GRSS Bangalore Section, NITK IEEE Student Branch, and Department of Electronics and Communication Engineering, NITK Surathkal, Karnataka, India
[29] Invited as technical expert to deliver lecture on “Deep Leaning Architectures for Object Segmentation Applications” on 16th April 2021 during two weeks AICTE sponsored FDP “Machine Learning in Computer vision & Video Processing” held from 01-04-2021 to 19-04-2021 organized by Department of E&C Engg, Potti Sriramulu Chalavadi Mallikarjuna Rao College Of Engineering And Technology, Kothapeta, Vijayawada-520001,Krishna district, Andhra Pradesh. India
[28] Invited as technical expert to deliver lecture on “Deep Learning for Computer Vision and Video Processing Applications” on 15th April 2021 during two weeks AICTE sponsored FDP “Machine Learning in Computer vision & Video Processing ” held from 01-04-2021 to 19-04-2021 organized by Department of E&C Engg, Potti Sriramulu Chalavadi Mallikarjuna Rao College Of Engineering And Technology, Kothapeta, Vijayawada-520001,Krishna district, Andhra Pradesh. India
[27] Invited as technical expert to deliver lecture on “2D Convolutional Neural Networks for Image Processing Applications- A Remote Sensing Prospective” on 19th March 2021 during two weeks AICTE sponsored FDP “Machine Learning in Image Processing Applications” held from 15-03-2021 to 27-03-2021 organized by Department of E&C Engg, Potti Sriramulu Chalavadi Mallikarjuna Rao College Of Engineering And Technology, Kothapeta, Vijayawada-520001,Krishna district, Andhra Pradesh.India
[26] Invited as technical expert to deliver lecture on “2D Convolutional Neural Networks for Remote Sensing Applications” on 9th April 2021 during one week one-week AICTE sponsored STTP titled “IoT and Machine Leaning-Series 2” held from 05-04-2021 to 10-04-2021 organized by Department of E&C Engg., Inderprastha Engineering College, Ghaziabad, Delhi NCR, India
[25] Invited as technical expert to deliver lecture on “Hands-on 2D Convolutional Neural Networks for Image Classifications using Python” on 10th April 2021 during one week one-week AICTE sponsored STTP titled “IoT and Machine Leaning-Series 2” held from 05-04-2021 to 10-04-2021 organized by Department of E&C Engg., Inderprastha Engineering College, Ghaziabad, Delhi NCR, India
[24] Delivered invited talk on “Deep Learning for Image Processing Applications – A Healthcare Prospective ” on 5th April 2021 during IEEE Sponsored FDP on"Advances in Signal Processing" held on 5th April 2021, Organized by School of Electronics Engineering, VIT University, Chennai (TN), India
[23] Invited as technical expert to deliver lectures on “Hands-on 2D Convolutional Neural Networks for Image Classifications using Python on 20th March 2021 during two weeks AICTE sponsored FDP “Machine Learning in Image Processing Applications” held from 15-03-2021 to 27-03-2021 organized by Department of E&C Engg, Potti Sriramulu Chalavadi Mallikarjuna Rao College Of Engineering And Technology, Kothapeta, Vijayawada-520001,Krishna district, Andhra Pradesh.India
[22] Invited as technical expert to deliver lectures on “2D Convolutional Neural Networks for Image Processing Applications- A Remote Sensing Prospective” on 19th March 2021 during two weeks AICTE sponsored FDP “Machine Learning in Image Processing Applications” held from 15-03-2021 to 27-03-2021 organized by Department of E&C Engg, Potti Sriramulu Chalavadi Mallikarjuna Rao College Of Engineering And Technology, Kothapeta, Vijayawada-520001,Krishna district, Andhra Pradesh.India
[21] Invited as technical expert to deliver lectures on “Deep Learning for healthcare Applications” on 5th and 6th March, 2021 during one week one-week AICTE sponsored STTP titled “IoT and Machine Leaning” held from 01-3-2021 to 06-3-2021 organized by Department of E&C Engg., Inderprastha Engineering College, Ghaziabad, Delhi NCR, India
[20] Invited as technical expert to deliver lecture on “Methods for Image feature extractions with applications” on 4th March, 2021 during one week one-week TEQIP III sponsored FDP Programme titled “Exploring Image Processing and Computer Vision Using Python” held from 01-3-2021 to 05-3-2021 organized by Department of computer science and engineering, College of Engineering, Kidangoor, Kottayam, Kerala, India
[19] Invited as technical expert to deliver lecture on “Spatial Domain Enhancement with OpenCV” on 3rd March, 2021 during one week one-week TEQIP III sponsored FDP Programme titled “Exploring Image Processing and Computer Vision Using Python” held from 01.3.2021 to 05.3.2021 organized by Department of computer science and engineering, COLLEGE OF ENGINEERING KIDANGOOR, Kottayam, Kerala, India.
[18] Invited as technical expert to deliver lecture on “Artificial Intelligence and Machine Learning with Applications” on 11th December, 2020 during one week one week AICTE - ISTE sponsored Induction/Refresher Programme titled “Antenna Design And Analysis” Series-I held from 07.12.2020 to 12.12.2020 organized by Department, of Electronics and Telecommunication, St Xavier"s Technical Institute, Mahim, Mumbai, India
[17] Invited as technical expert to deliver lecture on ““Hands on Convolutional Neural Networks for Cyber Security Applications” on 2nd December, 2020 during one week AICTE–FDP on “Cyber Crime and Security”-Series-II during 25-11-2020 to 05-12-2020 organized IT Department, GBPUAT, Pantnagar, Uttrakhand, India
[16] Delivered expert lecture on “Hands on Deep Learning Architectures for Cyber Security Applications” on November 27, 2020 during online FDP on “CYBER SECURITY” from 23-11-2020 to 27-11-2020 organised by SCSS, Jawaharlal Nehru University (JNU), New Delhi in association with AICTE Training And Learning (ATAL) Academy, New Delhi, India
[15] Invited as technical expert to deliver lecture on “CNN Architectures for Image Processing Applications on 16th November October 21, 2020 during one week AICTE - ISTE sponsored Induction/Refresher Programme titled “Feature Analysis using AI/ML” Series-II held from 16.11.2020 to 21.11.2020 organized by ECE Department, SKCOET (Autonomous), Coimbatore (TN), India.
[14] Delivered invited talk on “Deep Learning for Image Processing Applications IoT Applications- A Research Perspective” on November 07, 2020 during Virtual Conference on Futuristic Communication and Network Technologies(VICFCNT-2020), November 06-07, 2020, Organized by School of Electronics Engineering, VIT University, Chennai (TN), India
[13] Invited as technical expert to deliver lecture on “Deep Leaning for Remote Sensing Applications on November 06, 2020 during one week ATAL-AICTE FDP “Machine Learning Algorithms and Applications” held from 04.11.2020 to 08.1.2020 Indian Institute of Information Technology Kottayam, Kerala, India.
[12] Delivered invited talk on “Deep Learning for IoT Applications- A Research Perspective” on October 22, 2020 during Workshop on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication organized (MDCWC2020) held on October 22-24, 2020 organized by NIT Tiruchirappalli(TN), India
[11] Invited as technical expert to deliver lecture on “Deep Leaning for Health care Applications on October 21, 2020 during one week AICTE - ISTE sponsored Induction/Refresher Programme titled “Feature Analysis using AI/ML” Series-I held from 19.10.2020 to 24.10.2020 organized by ECE Department, SKCOET (Autonomous), Coimbatore (TN), India.
[10] Invited as technical expert to deliver lecture on “Deep Leaning for Cyber Security Applications” on October 14, 2020 during one week AICTE–FDP on “Cyber Crime and Security”-Series-I during October 05-17, 2020 organized IT Department, GBPUAT, Pantnagar, Uttrakhand, India.
[9] Invited as technical expert to deliver lecture on “Advanced Machine learning Applications for Medical Images” on October 10, 2020 during one week STTP on “Advanced Machine Learning for Biomedical data ” during October 08-12, 2020 organized EED and IT Department, NIT Raipur, India
[8]. Invited as technical expert to deliver lecture on “Deep learning Architectures for IoT Applications” on August 28, 2020 during AICTE Sponsored one week STTP on “Internet of Things for Emerging Engineering Applications” during August 24-29, 2020 organized EECE Department, FET MRIIRS, Faridabad, India
[7]. Invited as technical expert to deliver lecture on “ Deep learning Architectures for Segmentation of Histopathology Images” on August 21, 2020 during TEQIP-III (RTU, Kota) Sponsored one week FDP on “Machine Learning and Deep Learning Techniques with Applications" during August 18-22, 2020 organized EED Poornima College of Engineering, Jaipur, Rajsthan, India.
[6]. Invited as technical expert to deliver a series of lectures on “Python Programming and CNN Models with applications ” from 29th–31st July 2020 during one week online workshop “Deep Learning Architectures for Image Processing Applications" organized by Department of Electronics & Telecommunication Engineering, JNN College of Engineering, Shivamogga, Karnataka, during 27th -31st July 2020.
[5]. Invited as technical expert to deliver lectures on “Applications of Deep Learning in Image Processing” on 15th July 2020 during 3 Days National Level Online Faculty Development Program on "Advanced Research Trends in Image Processing" organized by Department of Electronics and Communication Engineering, Hirasugar Institute of Technolog, Nidasoshi Belgavi, Karnataka, during 14th -16th July 2020.
[4.]. Invited as technical expert to deliver a series of Lectures on “Digital Image Processing and Artificial Intelligence” from 17-08-19 to 18-08-19 in the in the boot camp organized by Department of Electronics and Communication Engineering, Alva’s Institute of Engineering and Technology, Moodbidri, Karnataka,
[3]. Invited as technical expert to deliver a series of Lectures on “Technical Paper Writing Skills” on 7th May 2019 in half day workshop organized by Department of Electronics and Communication Engineering, Sahyadri College of Engineering and Management, Mangalore, Karnataka, India.
[2]. Invited as Visiting Professor at the Department of Electrical, Computer and Biomedical Engineering of the University of Pavia, Italy from 19th November, 2018 to 30th November, 2018 (two weeks) for teaching the 2-credits course of “Satellite Data Analysis” course within Space Communication and Sensing track, Electronic Engineering of Master of Science (M.S) and research collaborations with Prof. Fabio Dell’s Acqua in the research area of Satellite Image Processing and Analysis, aforementioned university.
[1]. Invited for delivering expert lectures on “2D FFT algorithm and Medical Image Segmentation” during AICTE sponsored Two days seminar on Advanced Digital Image Processing Techniques, from 15-16th December 2017 held at NBKR Institute of Science and Technology, Vidyanagar, Nellore Dt. (A.P.), India.

 

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Prof. N. Shekar V. Shet, Professor and Head, 
Department of ECE, NITK, Surathkal
P. O. Srinivasnagar,
Mangalore - 575 025 Karnataka, India.

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