Aparna P.


Associate Professor

Date of Joining at NITK: 

Wednesday, February 27, 2008

Professional Experience: 

Joined E&C Dept, NITK, Surathkal in February 2008 as Assistant Professor.

Working as Associate Professor since October 2023

Contact Details




Faculty (author) Identifiers
Academic Background

Ph.D : NITK, Surathkal in March 2012
M.Tech :, NITK, Surathkal in July 2004
B.E : Mangalore University, N.M.A.M. Institute of Technology, Nitte, in July 1999.

Areas of Interest

Signal Compression
Signal Processing
Multimedia Signal Processing
Architectures for Signal processing
Microprocessor & Embedded Systems
Audio & Speech Processing.
Machine learning & Deep Learning
Biomedical Signal Processing
Digital System Design, Advanced Computer Architecture
Data Structures and Algorithms

Significant Projects

1. Under Special Manpower Development Program for Chips to System design (SMDP3) (MCIT, Govt Of India).

Title of the project: Development and implementation of Photoplethysmography (PPG) and Electro Cardiogram (ECG) acquisition and processing system on a chip.

2. Sponsored research project submitted to Electronics & Radar Development Establishment (LRDE), DRDO, Bangalore. (9.63Lacs)

Title: Study of Sigma Delta Space Time Adaptive Processing Techniques for GMTI using AESA Radar

3. Sponsored project Funded by: ISRO –DMSP Duration: 3 years, Amount 37.92 Lacs (Co PI)

Title: Design and Development of Automated Software Tools for Early Forest Fire Detection and Burn Severity Analysis from Multi-sensor Satellite Imagery Data

Supervision of Ph.D

Completed: 7 Ongoing: 2
“Visually lossless compression of volumetric medical images” - 2017, Chandrika B. K.
“Pattern recognition and machine learning framework for automated analysis of retinal images”-2019, Chetan L Srinidhi
“Intra prediction strategies for Lossless Compression in High Efficiency Video Coding” – 2020 , Shilpa Kamath
“Development of GPS spoofing and anti-spoofing algorithms in data association and target tracking frameworks” -2021, Pardha Saradhi
“Development of low complexity encoder and summarization techniques for Wireless Capsule Endoscopy video” – 2022, Sushma B.
“Area efficient hardware architectures of intra prediction and sample adaptive offset filter For HEVC encoder” – 2022, Lakshmi K Poola
“Enhancing speech perception in Cochlear Implants: Novel approaches in encoding temporal fine structures and noise reduction”- 2023, 1. Venkateswarlu Poluboina

Significant Publications

List of Papers Published in Journals:

1. Poluboina, V., Pulikala, A. & Pitchaimuthu, A.N. “Deep Speech Denoising with Minimal Dependence on Clean Speech Data.”, Circuits Syst Signal Process (2024). https://doi.org/10.1007/s00034-024-02644-y

2. Sushma B., Aparna Pulikala, “AAPFC-BUSnet: Hierarchical encoder–decoder based CNN with attention aggregation pyramid feature clustering for breast ultrasound image lesion segmentation.”, Biomedical Signal Processing and Control, Volume 91, 2024, 105969, ISSN 1746-8094, https://doi.org/10.1016/j.bspc.2024.105969.

3. V. Poluboina, A. Pulikala and A. N. P. Muthu, "An Improved Noise Reduction Technique for Enhancing the Intelligibility of Sinewave Vocoded Speech: Implication in Cochlear Implants," in IEEE Access, vol. 11, pp. 787-796, 2023, doi: 10.1109/ACCESS.2022.3232549.

4. Sushma B., Aparna P., Recent developments in wireless capsule endoscopy imaging: Compression and summarization techniques, Computers in Biology and Medicine, Volume 149, 2022, 106087, ISSN 0010-4825, https://doi.org/10.1016/j.compbiomed.2022.106087.

5. Sushma B., Aparna P., Deep chroma prediction of Wyner–Ziv frames in distributed video coding of wirelesss capsule endoscopy video, Journal of Visual Communication and Image Representation, Volume 87, 2022, 103578, ISSN 1047-3203, https://doi.org/10.1016/j.jvcir.2022.103578. 9 (SCIE)

6. Poola, L., Aparna, P. An efficient parallel-pipelined intra prediction architecture to support DCT/DST engine of HEVC encoder. J Real-Time Image Proc (2022). https://doi.org/10.1007/s11554-022-01206-2 (SCIE)

7. Poluboina, Venkateswarlu, Aparna Pulikala, and Arivudai Nambi Pitchai Muthu. "Contribution of frequency compressed temporal fine structure cues to the speech recognition in noise: An implication in cochlear implant signal processing." Applied Acoustics 189 (2022): 108616 (SCIE)

8. B. Sushma and P. Aparna, "Summarization of Wireless Capsule Endoscopy Video Using Deep Feature Matching and Motion Analysis," in IEEE Access, vol. 9, pp. 13691-13703, 2021, doi: 10.1109/ACCESS.2020.3044759

9. B. K. Chandrika, P. Aparna & S. Sumam David (2020) An Approach for Diagnostically Lossless Coding of Volumetric Medical Data Based on Wavelet and Just-Noticeable-Distortion Model, IETE Journal of Research, DOI: 10.1080/03772063.2020.1844070 (SCIE)

10. Lakshmi Poola & P. Aparna (2020) A Mixed Parallel and Pipelined Efficient Architecture for Intra Prediction Scheme in HEVC, IETE Technical Review, 11 Nov 2020. (SCIE)
DOI: 10.1080/02564602.2020.1841686

11. B. Sushma, P. Aparna, “Distributed video coding based on classification of frequency bands with block texture conditioned key frame encoder for wireless capsule endoscopy”, Biomedical Signal Processing and Control, Volume 60, July 2020, 101940, DOI:10.1016/j.bspc.2020.101940, (SCIE indexed)

12. S. Shilpa Kamath, P. Aparna and Abhilash Anthony (2020), “Performance enhancement of HEVC lossless mode using context-based angular and planar intra predictions”, Multimedia Tools and Applications, Springer, pp. 1–23. DOI: 10.1007/s11042-019-08466-4, (SCIE indexed)

13. S. Shilpa Kamath, P. Aparna and Abhilash Anthony (2020), “Pixelwise improvised blend of predictors in HEVC lossless mode”, International Journal of Electronics and Communications (AEU¨ ), Elsevier, Vol. 114, DOI: 10.1016/j.aeue.2019.153000, (SCIE indexed)

14. Srinidhi, C. L., Aparna, P., & Rajan, J. , ” Automated Method for Retinal Artery/Vein Separation via Graph Search Metaheuristic Approach”, IEEE Transactions on Image Processing., doi: 10.1109/TIP.2018.2889534, vol 28, pp 2705-2718 (SCI)

15. S. Shilpa Kamath, P. Aparna, Abhilash Antony, “Gradient-oriented directional predictor for HEVC planar and angular intra prediction modes to enhance lossless compression”, AEU - International Journal of Electronics and Communications, Elsevier Publishers, Vol 95, October 2018, Pages 73-81, https://doi.org/10.1016/j.aeue.2018.07.037. (SCI & SCIE Indexed)

16. L Srinidhi, C., Aparna, P. & Rajan,J , “A visual attention guided unsupervised feature learning for robust vessel delineation in retinal images”, Journal Of Biomedical Signal Processing and Control, Elsevier Publishers, Vol 44, July 2018, Pages 110-126b, https://doi.org/10.1016/j.bspc.2018.04.016 (SCIE Indexed)

17. L Srinidhi, C., Aparna, P. & Rajan,J, “Recent Advancements in Retinal Vessel Segmentation", Journal of Medical Systems, Springer, April 2017, 2017,41:70, doi:10.1007/s10916-017-0719-2. (SCIE indexed).

18. Chandrika B.K., Aparna P., Sumam David S., “ Perceptually Lossless Coder for Volumetric Medical Image Data”, Journal of Visual Communication and Image Representation, Elsevier Publishers, Vol 46, July 2017,pp 23-32, doi.org/10.1016/j.jvcir.2017.03.006, (SCIE Indexed)

19. Chandrika B.K., Aparna P., Sumam David S., “Visually Lossless Coder for Volumetric MRI and CT Image Data using Wavelet Transform”, International Journal of Computation al Vision and Robotics, Vol. 7, No. 6, 2017, Inderscience Publishers. (Scopus Indexed)

20. D. Sai Parameshwari, Aparna P. “An efficient framework for segmentation and identification of tumours in brain MR images”, Int. J. Advanced Media and Communication, Vol. 6, Nos. 2/3/4, 2016. (Scopus Indexed)

21. Chandrika B.K., Aparna P., Sumam David S., Analysis and Comparison of Symmetry based Lossless and Perceptually Lossless Algorithms for Volumetric Compression of Medical Images, Journal of Medical Informatics and Technologies, Vol. 24, pp. 147-154, 2015.

22. Aparna P. and Sumam David, "Low Complexity Distributed Video Coding with Golay Codes," International Journal of Machine Learning and Computing vol. 2, no. 4, pp. 466-470, 2012.

23. Aparna, P. and David, S. (2011) ‘Efficient Distributed Video Coding based on principle of syndrome coding’, International Journal of Signal and Imaging Systems Engineering 2011 - Vol. 4, No.4 pp. 212 - 219, DOI: 10.1504/IJSISE.2011.044533.(Scopus indexed)

24. Aparna P, Sivaprakash Reddy, Sumam David, “Distributed video coding using LDPC codes for wireless video”, Journal on Wireless Sensor Networks, Scientific Research Publishing, Inc. USA, 2009, 1, 334-339

List of Papers Published in Conferences:

1. P. S. Rao and A. Pulikala, "Hardware-Optimized Deep Learning Model for FPGA-Based Character Recognition," TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON), Chiang Mai, Thailand, 2023, pp. 238-242, doi: 10.1109/TENCON58879.2023.10322427.
2. S. Biradher and P. Aparna, "Classification of Wireless Capsule Endoscopy Bleeding Images using Deep Neural Network," 2022 IEEE Delhi Section Conference (DELCON), 11-13 Feb, 2022, pp. 1-4, doi: 10.1109/DELCON54057.2022.9753487.

3. Sushma. B and Aparna. P, "Effect of Different Color Spaces on Deep Image Segmentation," 2021 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), 2021, pp. 1-4, doi: 10.1109/WIECON-ECE54711.2021.9829655. 4-5 December 2021

4. S. Biradher and A. P., "Classification of Capsule Endoscopy Images based on Feature Concatenation of Deep Neural Networks," 2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2021, 24 – 26, February 2021. pp. 1-4, doi: 10.1109/ICECCT52121.2021.9616920.

5. Cochlear acoustic model that improves the speech perception in noise by encoding TFS, 4th International Conference on VLSI, Communication and Signal Processing 24-26 SEPTEMBER 2021 MNNIT ALLAHABAD, PRAYAGRAJ, Springer.

6. Lakshmi, Aparna P, “Efficient architectures for planar and DC modes of intra prediction in HEVC”,
7th International Conference on Signal Processing and Integrated Networks, SPIN 2020 (2020), 27-28 Feb 2020, Amity University, Delhi.

7. Sushma B and Aparna P, “Texture Classification based Efficient Image Compression Algorithm for Wireless Capsule Endoscopy”, 5th Intl. Conference ICCED 2019 April 11th to 13th 2019, at Singapore

8. Garivi, Haritha., Aparna P, Pathipati Srihari, and Gnane Swarnadh Satapathi, “Analysis of real-time tracking _lters implementation in FPGA. In 2018 IEEE Distributed Computing”, VLSI, Electrical Circuits and Robotics (DISCOVER) . IEEE, 13-14 August 2018.

9. Shilpa Kamath, Aparna P., Abhilash Antony, “Sample-based DC Prediction Strategy for HEVC Lossless Intra Prediction Mode”, 2017 Fourth IEEE ICIIP, 21st-23rd December 2017, Jaypee University of Information Technology, Shimla, Himachal Pradesh, INDIA

10. Seema K., Aparna P., "A Feasible QRS Detection Algorithm for Arrhythmia Diagnosis", International Conference on Advances in Electrical, Electronic and Systems Engineering (ICAEESE 2016), 14-16 November 2016 in Putrajaya, Malaysia.

11. Hari Sankar S., Suraj B., Jayadev K., Aparna P., “A comprehensive solution to road traffic accident detection and ambulance management", International Conference on Advances in Electrical, Electronic and Systems Engineering (ICAEESE 2016), 14-16 November, 2016 in Putrajaya, Malaysia

12. Chandrika B.K., Aparna P., Sumam David S., “Irreversible wavelet compression of radiological images based on visual threshold”, IEEE International Women in Engineering Conference on Electrical and Computer Engineering, 19-20 December 2015, Dhaka, Bangladesh.

13. Chandrika B.K., Aparna P., Sumam David, “Symmetry Based Perceptually Lossless Compression of 3D Medical Images in Spatial Domain”, International Conference on Computer, Communication, and Control Technology (I4CT, 2014), Malaysia, September 2014.

14. Parameshwari,D.S., Aparna P., “An efficient algorithm for textural feature extraction and detection of tumors for a class of brain MR imaging applications”, 19th International Conference on Digital Signal Processing (DSP), 2014, Hong Kong, Publication Year: 2014 , Page(s): 339 – 344

15. Aparna P, Shreyas S Hanchinal, Preetham N, Kishore Subramanian B, “Comparative study of Canny Edge Detection Algorithm for Diagnosis of Retinopathy of Prematurity”, International Engineering Symposium (IES-2013), Kumamoto University, Japan, 4 - 6 March, 2013.

16. Ashwini V R and Aparna P, “ A Nearest Neighbor Based Approach for Classifying Epileptic form EEG Using NonLinear DWT Features”, International Conference on Signal Processing and Communications, Indian Institute of Science, Bangalore, July 22-25 2012.

17. Aparna P, Sumam David,” Low complexity distributed video coding with Golay codes” 2011 3rd International Conference on Machine Learning and Computing (ICMLC 2011), Singapore, February 26-28, 2011.

18. Aparna P, Sumam David,” Multilevel Coset coding of video with Golay codes”, IEEE Symposium on Computer and Informatics (ISCI 2011), Kuala Lumpur, Malaysia, March 20-22, 2011.

19. Sivaprakash Reddy, Aparna P & Sumam David, “Syndrome coding of Video with LDPC codes”, 9th International Conference on Signal Processing, Beijing, China, 24-29 October 2008.

20. Aparna P, Sumam David S,” Efficient Compression of video using distributed source coding”, National Conference on Computer Vision, Pattern Recognition Image Processing & Graphics, NCVPRIPG08 DAIICT Gandhinagar, Jan 11-13, 2008.


1. Dr. Aparna P., Associate Professor from Dept. of ECE, received the Best Paper award in the IEEE Women in Engineering category at the TENCON 2023 International Conference held in Chiangmai, Thailand from 1st-3rd November 2023.
2. Best Paper of the Track in IEEE WIECON--ECE 2015 Track Name: Multimedia and Signal Processing Irreversible Wavelet Compression of Radiological Images Based on Visual Threshold
3. Best Paper Award' in the area of Information Processing and Automation for paper #1570297822 ('A comprehensive solution to road traffic accident detection and ambulance management’ in ICAEESE 2016, Malaysia.


Contact us

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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