mahesh

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Dr. Mahesh R Panicker
Assoc. Professor
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Biosketch

Mahesh R Panicker received his B. Tech. degree in Electrical and Electronics Engineering from Rajiv Gandhi Institute of Technology (Govt. Engineering College, Kottayam) in 2003 (First rank in the University) and Ph.D. degree from School of Computer Engineering, Nanyang Technological University (NTU), Singapore in 2009. From August 2003 to July 2005, he was a lecturer with Mahatma Gandhi University, Kerala. From August 2008 to July 2010, he was a post-doctoral fellow with centre for high performance embedded systems, NTU, Singapore. In August 2010, he started his career in industry with General Electric (GE) Global Research Centre, Bangalore. He was lead research engineer with GE till April 2017. From May 2017 till May 2018, he was senior chief engineer with Samsung Research Institute, Bangalore. He was Assistant Professor of Electrical Engineering at IIT Palakkad from June 2018 to  November 2021.

Mahesh is a Senior Member with IEEE, Six Sigma Green Belt certified and a TRIZ practitioner. He is a recipient of the prestigious Early Career Research Award from Science and Engineering Research Board, Government of India in 2019. He has won GE wide technical excellence awards in 2013 and 2015. He has also won silver award for ten or more patents with GE. During his stay in GE, Mahesh has worked on a range of projects, which include portable foetal ECG platform, compressor blade health monitoring program, real-time detection of rotor imbalance in GE transportation locomotive engines, detection of corrosion under insulation in oil/gas pipelines in refineries, nuclear reactor rebar corrosion detection, fMRI based neuro analytics, GE’s software beamforming platform for diagnostic ultrasound imaging and low cost portable 3D ultrasound.

Mahesh’s research interests include signal processing and analytics, reconfigurable computing and area efficient low power systems with applications in diagnostic ultrasound imaging, biomedical circuits and systems, multi-standard wireless communications and industrial prognostics and health monitoring. Mahesh has published his research findings in 14 international journals, 40 conferences and 11 patents.

Research

 

 


Technology Interests


· Digital Signal Processing

· Reconfigurable Low Power / Area Efficient Circuits and Systems

· Machine/Deep Learning for Imaging/Reconstruction


Domain Interests


· Diagnostic Ultrasound Imaging

   > Software Beamforming (FPGA (Reconfigurable) / GPU (Pixel Level))

   > Hardware Beamforming (portable/low cost ASICs)

   > Vector Flow Imaging

   > Design of Ultrasound Arrays (cMUT/pMUT)

· Biomedical Circuits & Systems

   > Real-time Non-invasive Neuro Imaging

   > Non-invasive Wellness Monitoring Systems

· Underwater Acoustic Imaging and Image Processing

· Industrial Prognostics and Health Monitoring

   > Active/Passive Sensing including Non-destructive Evaluation (NDE) signal processing (eg: corrosion detection in oil/gas pipelines, concrete rebars, rotor imbalance detection)

 


Research Grants (Ongoing)


  1. "Investigation of a portable, affordable and self-guided bedside ultrasound system for tissue and blood velocity imaging", Early Career Research (ECR) award, Science and Engineering Research Board (SERB), Rs 49,01,830, March 2019 - June 2022 (Principal Investigator)

  2. "Cognitive Ultrasound" , NVIDIA Hardware Research Grant (Donated NVIDIA CLARA AGX Dev Kit)

  3. "Robust receive beamforming algorithm for underwater sonar imaging system for Mine Like Object Detection in the presence of reverberation", DRDO-NPOL CARS, Rs 9,89,218, May 2022- April 2023 (Principal Investigator)

  4. "Target Detection using Side Scan Sonar (SSS) and Multibeam Echosounder (MBE) Images", DRDO-CAIR CARS, Rs 19,65,000, May 2022 - Dec 2023 (Principal Investigator)


Research Grants (Completed)


  1. "An automated lung ultrasound workflow for diagnostic assistance in COVID-19 and beyond", COVID19 Special Core Research Grant, Science and Engineering Research Board (SERB), India, Rs 12,02,960, Aug 2020 - Aug 2021 (Principal Investigator)

  2. "Automated Lung Ultrasound for COVID-19 Screening and Monitoring", CSR Fund - Federal Bank, Rs 6,00,000, May 2020 - October 2020 (Principal Investigator)


Recent Publications


For full list of publications: https://scholar.google.com/citations?user=FkF8Zh0AAAAJ&hl=en

Citations: 1080
h-index:   15
i10-index: 17

 

Patents:

  1. Mahesh R. Panicker, Sigmund Frigstad, Pavan Kumar V Annangi, Srinivas Varna, Abhijit Vishwas Patil, Anders Herman Torp, “Method and system for measuring a volume of an organ of interest” U.S. Patent No. US20180085043A https://patents.google.com/patent/US20180085043A1

  2. Mahesh Raveendranatha Panicker, Ajay Kumar Behera, Venkatesh Rajagopalan, Venkatarao Ryali, Vivek Venugopal Badami, Budhaditya Hazra, “Methods and systems to monitor health of rotor blades” U.S. Patent No. US20150184536A1. https://patents.google.com/patent/US20150184536A1

  3. Mahesh Raveendranatha Panicker, Ajay Kumar Behera, Venkatesh Rajagopalan, Venkatarao Ryali, Vivek Venugopal Badami, Budhaditya Hazra, “Methods and systems to monitor health of rotor blades,” U.S. Patent No. US20150184533A1. https://patents.google.com/patent/US20150184533A1

  4. Mahesh Raveendranatha Panicker, Aninda Bhattacharya, Akshay Krishnamurty AMBEKAR, Bret Dwayne Worden, “Methods and systems to determine rotor imbalance.”, U.S. Patent No. US20160169765A1. https://patents.google.com/patent/US20160169765A1

  5. Selaka Bandara Bulumulla, Joseph Alfred Iannotti, James Patrick Carneal, Mahesh Panicker, “Systems and methods for inspecting reinforced concrete structures”, U.S. Patent No. US9194819B2. https://patents.google.com/patent/US9194819B2

  6. Anthony Furman, Aninda Bhattacharya, Matthew John MALONE, Mahesh Raveendranatha Panicker, “System and method of determining bearing health in a rotating machine”, U.S. Patent No. US9574965B2. https://patents.google.com/patent/US9574965B2

  7. Aninda Bhattacharya, Bret Dwayne Worden, Ajay Kumar Behera, Mahesh Panicker, Wrichik Basu, Matthew John MALONE, Arwa Hatim Ginwala, “Methods and system for a turbocharger” U.S. Patent No. US20170122230A1. https://patents.google.com/patent/US20170122230A1

  8. Panicker, Mahesh R., et al. “Method of inspection for corrosion under insulation - Part I- System”

  9. Panicker, Mahesh R., et al. “Method of inspection for corrosion under insulation - Part II- Algorithms”

  10. Rajesh VV Langoju, Mahesh Raveendranatha Panicker, Abhijit Vishwas Patil. “System and method for imaging deeper tissues” India Patent No. 201741016384 (https://ipindia.gov.in/writereaddata/Portal/IPOJournal/1_3684_1/Part-2.pdf).

  11. Harikrishnan Pisharody Gopalkrishnan, Mahesh Raveendranatha Panicker, Gayathri Malamal, Madhavanunni A N, “Array Adaptive Ultrasound Apparatus for Variable Field of View Imaging” India Patent No. 202141036310.

Journals:

Under Review

  1. Pisharody Harikrishnan Gopalakrishnan and Mahesh Raveendranatha Panicker, “Acoustic Gel Mask based Weakly Focused Ultrasound System for High Frame Rate Imaging,” (Under Review).

  2. Gayathri M and Mahesh Raveendranatha Panicker, “Towards an Introspective Transmit-Receive Beamforming Strategy for Ultrasound Imaging,” (Under Review).

  3. Madhavanunni A. N. and Mahesh Raveendranatha Panicker, “Beam Multiply and Sum Beamforming for Non-Steered Plane Wave High Framerate Ultrasound Imaging,” (Under Review).

  4. Gayathri M and Mahesh Raveendranatha Panicker, “A Tiered Sub-Aperture Directivity Indexing Technique for Specularity Visualization in High Frame Rate Ultrasound Imaging,” (Under Review).

  5. Arpan Tripathi, Abhilash Rakkunedeth, Mahesh Raveendranatha Panicker, Jack Zhang, Naveenjyote Boora, Jacob Jaremko, “Domain Specific Transporter Framework to Detect Fractures in Ultrasound,” (Under Review) arXiv link: https://arxiv.org/abs/2106.05929

  6. Adithya Sineesh and Mahesh Raveendranatha Panicker, “Exploring Novel Pooling Strategies for Edge Preserved Feature Maps in Convolutional Neural Networks”, (Under Review) arXiv link: https://arxiv.org/abs/2110.08842

  7. Arpan Tripathi, Abhilash Rakkunedeth, Mahesh Raveendranatha Panicker, Jack Zhang, Naveenjyote Boora, Jacob Jaremko, Yale Tung Chen, Kiran Vishnu Narayan, Kesavadas C, “Physics Driven Domain Specific Transporter Framework with Attention Mechanism for Ultrasound Imaging", (Under Review). arXiv link: https://arxiv.org/abs/2109.06346

  8. Roshan P Mathews, Mahesh Raveendranatha Panicker, Abhilash R Hareendranathan, Yale Tung Chen, Jacob L Jaremko, Brian Buchanan, Kiran Vishnu Narayan, Kesavadas C, Greeta Mathews, “Unsupervised multi-latent space reinforcement learning framework for video summarization in ultrasound imaging”, (Under Review). arXiv link: https://arxiv.org/abs/2109.01309

  9. Jinu Joseph, Mahesh Raveendranatha Panicker, Yale Tung Chen, Kesavadas Chandrasekharan, Vimal Chacko Mondy, Anoop Ayyappan, Jineesh Valakkada and Kiran Vishnu Narayan, “covEcho-Resource Constrained Lung Ultrasound Video Analysis Tool for Faster Triaging and Active Learning”, (Under Review).

  10. Mahesh Raveendranatha Panicker, Yale Tung Chen, Gayathri M, Madhavanunni A N, Kiran Vishnu Narayan, C Kesavadas and A P Vinod, "An Approach Towards Physics Informed Lung Ultrasound Image Scoring Neural Network for Diagnostic Assistance in COVID-19", (Under Submission Process). arXiv link: https://arxiv.org/abs/2106.06980

Published

  1. Madhavanunni A. N. and Mahesh Raveendranatha Panicker, “A Nonlinear High-Resolution Beamforming for Plane Wave Ultrasound Flow Imaging,” in Elsevier Computers in Biology and Medicine (Accepted May 2022). arXiv link: https://arxiv.org/abs/2108.02688

  2. Rohith Reddy Rachala and Mahesh Raveendranatha Panicker, "Hand-Drawn Electrical Circuit Recognition Using Object Detection and Node Recognition", Springer Nature Computer Science, 3, 244 (2022). https://doi.org/10.1007/s42979-022-01159-0 

  3. Arjun, Aniket Singh Rajpoot, Mahesh Raveendranatha Panicker, “Subject Independent Emotion Recognition using EEG Signals Employing Attention Driven Neural Networks,” in  Elsevier Biomedical Signal Processing and Control (Accepted in Feb 2022). https://doi.org/10.1016/j.bspc.2022.103547

  4. Roshan P Mathews, Mahesh Raveendranatha Panicker and Abhilash R Hareendranathan, “vid-SAMGRAH: A PyTorch framework for multi-latent space reinforcement learning driven video summarization in ultrasound imaging, in Elsevier Software Impacts, 100185 (2021). https://doi.org/10.1016/j.simpa.2021.100185 

  5. Gayathri M and Mahesh Raveendranatha Panicker, “Towards A Pixel-Level Reconfigurable Digital Beamforming Core for Diagnostic Ultrasound Imaging,” in IEEE Transactions on Biomedical Circuits and Systems, 14, no. 3 (2020): 570-582.  https://doi.org/10.1109/TBCAS.2020.2983759 [pdf]

  6. Mahesh, R., and A. Prasad Vinod, “An area-efficient non-uniform filter bank for low overhead reconfiguration of multi-standard software radio channelizers,” Journal of Signal Processing Systems 64.3 (2011): 413-428. https://doi.org/10.1007/s11265-010-0502-9

  7. Mahesh, R., and A. Prasad Vinod, “A low-complexity flexible spectrum-sensing scheme for mobile cognitive radio terminals,” IEEE Transactions on Circuits and Systems II: Express Briefs 58.6 (2011): 371-375. https://doi.org/10.1109/TCSII.2011.2158167

  8. Mahesh, R., and A. Prasad Vinod, “Low complexity flexible filter banks for uniform and non-uniform channelisation in software radios using coefficient decimation,” IET circuits, devices & systems 5.3 (2011): 232-242. https://doi.org/10.1049/iet-cds.2010.0010 

  9. Mahesh, R., and A. Prasad Vinod, “Reconfigurable low area complexity filter bank architecture based on frequency response masking for nonuniform channelization in software radio receivers, IEEE Transactions on Aerospace and Electronic Systems 47.2 (2011): 1241-125 https://doi.org/10.1109/TAES.2011.5751255

  10. Mahesh, R., and A. Prasad Vinod, “New reconfigurable architectures for implementing FIR filters with low complexity,” IEEE Transactions on computer-aided design of integrated circuits and systems 29.2 (2010): 275-288.  https://doi.org/10.1109/TCAD.2009.2035548

  11. Mahesh, R., A. Prasad Vinod, Edmund MK Lai, and Amos Omondi, “Filter bank channelizers for multi-standard software defined radio receivers,” Journal of signal processing systems 62.2 (2011): 157-171. https://doi.org/10.1007/s11265-008-0327-y

  12. Jimson Mathew, Mahesh, R., A. P. Vinod and Edmund M-K. Lai, “Realization of low power high-speed channel filters with stringent adjacent channel attenuation specifications for wireless communication receivers,” IEICE transactions on fundamentals of electronics, communications and computer sciences 91.9 (2008): 2564-2570.  https://doi.org/10.1109/ICICS.2007.4449884

  13. Mahesh, R., and A. Prasad Vinod, “Reconfigurable frequency response masking filters for software radio channelization,” IEEE Transactions on Circuits and Systems II: Express Briefs 55.3 (2008): 274-278. https://doi.org/10.1109/TCSII.2008.918996

  14. Mahesh, R., and A. Prasad Vinod, “A new common subexpression elimination algorithm for realizing low-complexity higher order digital filters,” IEEE transactions on computer-aided design of integrated circuits and systems 27.2 (2008): 217-229. https://doi.org/10.1109/TCAD.2007.907064

Conferences:

  1. Pisharody Harikrishnan Gopalakrishnan and Mahesh Raveendranatha Panicker, “Extending the capability of linear array ultrasound probe to concave array using low cost acoustic lens for high framerate focused imaging,” in Proc. of IEEE ISBI 2022, Kolkata, India, March 2022.
  2. Madhavanunni A.N. and Mahesh Raveendranatha Panicker, “Lesion detectability and contrast enhancement with beam multiply and sum beamforming for zero angle plane wave ultrasound imaging,” in Proc. of IEEE ISBI 2022, Kolkata, India, March 2022.
  3. Mimisha M Menakath, Mahesh Raveendranatha Panicker and Hareesh G., “Exploring time domain beamforming algorithm for underwater 3D acoustic imaging,” in Proc. of OCEANS 2022, Chennai, Feb. 2022.
  4. Arjun, Aniket Singh Rajpoot and Mahesh Raveendranatha Panicker, “Introducing Attention Mechanism for EEG Signals: Emotion Recognition with Vision Transformers,” in Proc. of 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Online, Oct 202 https://doi.org/10.1109/EMBC46164.2029629837  
  5. Roshan P Mathews and Mahesh Raveendranatha Panicker, “Towards Fast Region Adaptive Ultrasound Beamformer for Plane Wave Imaging Using Convolutional Neural Networks,” in Proc. of 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Online, Oct 2021. https://doi.org/10.1109/EMBC46164.2021.9630930  
  6. Gayathri M and Mahesh Raveendranatha Panicker, “Pixel Intensity Vector Field: An Inside Out Approach of Looking at Ultrasound Reflections from the Lung at High Frame Rates” in Proc. of 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Online, Oct 2021. https://doi.org/10.1109/EMBC46164.2021.9629896
  7. Madhavanunni A.N. and Mahesh Raveendranatha Panicker, “An Angle Independent Depth Aware Fusion Beamforming Approach for Ultrafast Ultrasound Flow Imaging,” in Proc. of 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Online, Oct 2021. https://doi.org/10.1109/EMBC46162021.9630742
  8. Gayathri M and Mahesh Raveendranatha Panicker, “Intensity Vector Field: a Tool for Visualization and Characterization of Tissue Reflections in High Framerate Ultrasound Imaging,” in Proc. of IEEE IUS 2021, Online, Sep 2021. https://doi.org/10.1109/IUS52206.2021.9593715
  9. Mahesh Raveendranatha Panicker, Yale Tung Chen, Gayathri M, Madhavanunni A N, Ki ran Vishnu Narayan, C Kesavadas and A P Vinod, “Employing acoustic features to aid neural networks towards platform agnostic learning in lung ultrasound imaging”, in Proc. of IEEE ICIP 2021, Alaska, Sep 2021. https://doi.org/10.1109/ICIP42928.2021.9506407
  10. Gayathri M and Mahesh Raveendranatha Panicker, “Towards diffuse beamforming for specular reflectors: A pixel level reflection tuned apodization scheme for ultrasound imaging,” in Proc. of IEEE ISBI 2021, Nice, France, April 2021. https://doi.org/10.1109/ISBI48211.2021.9433990
  11. Gayathri M and Mahesh Raveendranatha Panicker, “Delay Multiply and Sum based Selective Compounding for Enhanced Ultrasound Imaging,” in Proc. of IEEE TENCON 2020, Osaka, Japan, Nov. 2020. https://doi.org/10.1109/TENCON50793.2020.9293944
  12. Mohit Singh, Mahesh Raveendranatha Panicker, Rajagopal K V, “Towards Bone Aware Image Enhancement in Musculoskeletal Ultrasound Imaging,” in Proc. of IEEE TENCON 2020, Osaka, Japan, Nov. 2020. https://doi.org/1109/TENCON50793.2020.9293757
  13. Gayathri M and Mahesh Raveendranatha Panicker, “VLSI architectures for Delay Multiply and Sum Beamforming in Ultrasound Medical Imaging,” in Proc. of IEEE SPCOM 2020, Bangalore, July 2020. https://doi.org/10.1109/SPCOM50965.2020.9179510
  14. Madhavanunni A.N. and Mahesh Raveendranatha Panicker, “Directional beam focusing based dual apodization approach for improved vector flow imaging,” in Proc. of IEEE ISBI 2020, Iowa City, April 2020. https://doi.org/10.1109/ISBI45749.2020.9098494
  15. Madhavanunni A.N. and Mahesh Raveendranatha Panicker, “Triangulation based vector flow imaging with non-steered plane waves for transverse flows,” in Proc. of SPIE Medical Imaging 2020, Houston, Feb 2020. https://doi.org/10.1117/12.2549253
  16. Samhitha Rachakonda and R. Mahesh, “Automated Noise Detection and Classification for Unsupervised ECG Analysis Systems Using CEEMD and Wavelet Packet Decomposition,” in Proc. of TENCON 2019, Kochi, Oct 2019. https://doi.org/10.1109/TENCON.2019.8929450
  17. Mahesh Panicker, P. Bhushan, Ek Tsoon Tan, J. Suresh, M. Radhika, M. Luca, M. Rakesh, “Improving neighbourhood voxel correlation in resting state fMRI using BOLD signal decomposition,” in Proc. of OHBM 2016, Geneva, Switzerland, June 2016. http://www.humanbrainmapping.org/files/2016/OHBM_2016_Geneva_Abstracts.pdf
  18. P. Bhushan, Mahesh Panicker, Ek Tsoon Tan, J. Suresh, M. Radhika, M. Luca, M. Rakesh, “Spatiotemporal denoising in resting state fMRI,” in Proc. of OHBM 2016, Geneva, Switzerland, June 20 http://www.humanbrainmapping.org/files/2016/OHBM_2016_Geneva_Abstracts.pdf
  19. P. Bhushan, Mahesh Panicker, M. Radhika, J. Suresh, “Group NMF analysis for resting state fMRI,” in Proc. of ISMRM 2016, Singapore, May 2016. https://cds.ismrm.org/protected/16MProceedings/PDFfiles/3743.html
  20. Mahesh Panicker, P. Bhushan, Ek Tsoon Tan, J. Suresh, “Blind functional clustering of resting state fMRI using non-negative matrix factorization,” in Proc. of OHBM 2015, Hawaii, June 2015. http://www.humanbrainmapping.org/files/2015/2015%20Honolulu%20Abstracts%20FINAL.pdf
  21. P. Bhushan, Mahesh Panicker, Ek Tsoon Tan, J. Suresh, “Optimal wavelet basis selection for resting state fMRI signal analysis,” in Proc. of OHBM 2015, Hawaii, June 2015. http://www.humanbrainmapping.org/files/2015/2015%20Honolulu%20Abstracts%20FINAL.pdf
  22. Smitha K. G., A. P. Vinod and R. Mahesh, “Reconfigurable area and power efficient I-Q mapper for adaptive modulation,” in Proc. of 54th IEEE International MidWest Symposium on Circuits and Systems (MWSCAS), Seoul, South Korea, August 2011. https://doi.org/10.1109/MWSCAS.2011.6026553
  23. Smitha K. G., R. Mahesh and A. P. Vinod, “Challenges in digital filter bank implementation from a cognitive radio perspective - A review,” in Proc. of Asia-Pacific Signal and Information Processing Association (APSIPA) Annual Summit and Conference, Singapore, December 2010. http://www.apsipa.org/proceedings_2010/pdf/APSIPA66.pdf
  24. R. Mahesh and A. P. Vinod, “Reconfigurable discrete Fourier transform filter banks for variable resolution spectrum sensing,” in Proc. of IEEE International Conference on Communication Systems, November 2010, Singapore. https://doi.org/10.1109/ICCS.2010.5686666
  25. R. Mahesh and A. P. Vinod, “Reconfigurable discrete Fourier transform filter banks for multistandard channelizers,” in Proc. of IEEE International Conference on Signal Processing and Communications, Bangalore, India, July 2010. (SPCOM 2010). https://doi.org/10.1109/SPCOM.2010.5560538  
  26. S. J. Darak, A. P. Vinod, R. Mahesh and E. M-K. Lai “A reconfigurable filter bank for uniform and non-uniform channelization in multi-standard wireless communication receivers,” in Proc. of the 17th IEEE International Conference on Telecommunications, Doha, Qatar, April 2010. (ICT 2010). https://doi.org/10.1109/ICTEL.2010.5478855
  27. R. Mahesh, A. P. Vinod, B. Y. Tan and E. M-K. Lai, “A tree-structured non-uniform filter bank for multistandard wireless receivers,” in Proc. of IEEE International Symposium on Circuits and Systems, Taiwan, May 2009. (ISCAS 2009). https://doi.org/10.1109/ISCAS.2009.5117723
  28. S. T. Gul, R. Mahesh, C. Moy, A. P. Vinod and Jacques Palicot, “A graphical approach for the optimization of SDR channelizers,” in Proc. of URSI (International Union of Radio Science) General Assembly, Chicago, USA, August 2008. https://www.ursi.org/proceedings/procGA08/papers/CPS2p7.pdf  
  29. R. Mahesh and A. P. Vinod, “Reconfigurable filter banks for software defined radio receivers – An alternative low complexity design to conventional DFT filter banks,” in Proc. of URSI (International Union of Radio Science) General Assembly, Chicago, USA, August 2008. https://www.ursi.org/proceedings/procGA08/papers/C08p2.pdf
  30. R. Mahesh, A. P. Vinod, Christophe Moy and Jacques Palicot, “A low complexity reconfigurable filter bank architecture for spectrum sensing in cognitive radios,” in Proc. of 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications, Singapore May 2008. (CROWNCOM 2008). https://doi.org/10.1109/CROWNCOM.2008.4562506
  31. Smitha K. G., R. Mahesh and A. P. Vinod, “A reconfigurable multi-stage frequency response masking filter bank architecture for software defined radio receivers,” in Proc. of IEEE International Symposium on Circuits and Systems, Seattle, USA, May 2008. (ISCAS 2008). https://doi.org/10.1109/ISCAS.2008.4541360
  32. R. Mahesh and A. P. Vinod, “Coefficient decimation approach for realizing reconfigurable finite impulse response filters,” in Proc. of IEEE International Symposium on Circuits and Systems, Seattle, USA, May 2008. (ISCAS 2008). https://doi.org/10.1109/ISCAS.2008.4541359
  33. Jimson Mathew, R. Mahesh, A. P. Vinod and E. M-K. Lai, “Realization of low power highspeed channel filters with stringent adjacent channel attenuation specifications for software radio receivers,” in Proc. of Sixth IEEE International Conference on Information, Communications and Signal Processing, Singapore, December 2007. (ICICS 2007). https://doi.org/10.1109/ICICS.2007.4449884
  34. R. Mahesh and A. P. Vinod, “A new low complexity reconfigurable filter bank architecture for software radio receivers based on interpolation and masking technique,” in Proc. of Sixth IEEE International Conference on Information, Communications and Signal Processing, Singapore, December 2007. (ICICS 2007).  https://doi.org/10.1109/ICICS.2007.4449800
  35. G. Deepak, R. Mahesh and A. Sluzek, “Adaptable area-efficient parallel architecture for grey and color image convolvers,” in Proc. of IEEE International Symposium on Signals, Circuits and Systems, 2007, pp. 1-4, Vol. 2, July 2007. (ISSCS 2007). https://doi.org/10.1109/ISSCS.2007.4292788
  36. R. Mahesh and A. P. Vinod, “An architecture for integrating low complexity and reconfigurability for channel filters in software defined radio receivers,” in Proc. of IEEE International Symposium on Circuits and Systems, pp. 2514- 2517, May 2007, USA. (ISCAS 2007). https://doi.org/10.1109/ISCAS.2007.378750
  37. R. Mahesh and A. P. Vinod, “Frequency response masking based reconfigurable channel filters for software radio receivers,” in Proc. of IEEE International Symposium on Circuits and Systems, pp. 2518-2521, May 2007, USA. (ISCAS 2007). https://doi.org/10.1109/ISCAS.2007.378751  
  38. G. Deepak, R. Mahesh and A. Sluzek, “Design of an area-efficient multiplier less processing element for fast two-dimensional image convolution,” in Proc. of 13th IEEE International Conference on Electronics, Circuits and Systems, pp.467-470, Dec. 2006 (ICECS 2006). https://doi.org/10.1109/ICECS.2006.379826  
  39. R. Mahesh and A. P. Vinod, “Reconfigurable low complexity FIR filters for software radio receivers,” in Proc of 17th IEEE International Symposium on Personal, Indoor and Mobile radio communications, pp. 1-5, Finland, Sep. 2006. (PIMRC 2006). https://doi.org/10.1109/PIMRC.2006.254336
  40. R. Mahesh and A. P. Vinod, “A new common subexpression elimination algorithm for implementing low complexity FIR filters in software defined radio receivers,” in Proc. of IEEE International Symposium on Circuits and Systems, pp. 4515 – 4518, Greece, May 2006. (ISCAS 2006). https://doi.org/10.1109/ISCAS.2006.1693633

Software:

  1. Roshan P Mathews, Mahesh Raveendranatha Panicker, Abhilash Hareendranathan (2021) vid-SAMGRAH - A PyTorch framework for multi-latent space reinforcement learning driven video summarization in ultrasound imaging [Source Code]. https://doi.org/10.24433/CO.8976100.v1
Teaching

· Microprocessor Systems: Design and Interfacing (Theory & Lab) (Jan - May 2019, Jan - May 2020, Feb-May 2021) [Online Lectures]

· Digital Image Processing (July - Dec 2019, Aug-Nov 2020, Aug-Dec 2021) [Online Lectures]

· Digital Circuits Lab (July - Dec 2019, April 2021, Aug-Dec 2021)

· Sensor Arrays and Imaging (Feb - May 2021)

· Analog and Digital Communication Systems (July - Dec 2018)

· Control Systems Lab (July - Dec 2018)

Research Group

Ph.D.

1. Ms. Gayathri M  (Aug 2018 - ) Research Area: Cognitive Ultrasound - Towards Tissue Adaptive Software Beamforming in Ultrasound Imaging

2. Mr. Madhavanunni A N (Aug 2018 - )  Research Area: Portable Vector Flow Imaging for Ambulatory Scenarios             

3. Mr. Pisharody Harikrishnan Gopalkrishnan (Aug 2019 - )   Research Area: Novel Transducer Array Designs for High Frame Rate Ultrasound Imaging

4. Ms. Mimisha M Menakath (Aug 2020 - ) Research Area: Underwater High Frame Rate Acoustic Imaging 

BTP

1. Mr. Sairoop Bodepudi (Aug 2021 - May 2022 ) Title: Graph Neural Networks for Ultrasound Imaging

2. Mr. Rohit Singh (Aug 2021 - May 2022) Title: Reinforcement Learning for Beamforming in Ultrasound Imaging

3. Mr. Abhishek M S (Aug 2021 - May 2022) Title: FPGA based Reconfigurable Beamforming in Ultrasound Imaging

4. Mr. Posani Naga Radha Krishna (Aug 2021 - May 2022) Title: Comparison of diverging wave and planewave transmit schemes for high frame rate flow imaging

5. Mr. Mayank Katare (Aug 2021 - May 2022) Title: Neural network accelerated libraries for ultrasound beamforming

6. Mr. Arjun (Aug 2021 - May 2022) (Main Advisor: Prof. Thomas Serre, Brown University) Title: Investigation of Neural Circuits for Mimcking Human Level Color Constancy

​​​​​Past Students/Staff

Project Staff

3. Ms. Jinu Joseph (Feb 2021 - Aug 2021) Project: Automated Image Analysis for Lung Ultrasound

2. Ms. Arya Sankar (Oct 2020 - Jan 2021) Project: Automated Image Analysis for Lung Ultrasound

1. Mr. Mani Chandra (May 2020 - Aug 2020) Project: Automated Image Analysis for Lung Ultrasound

MTP

2. Ms. Sandhya K (Aug 2021 - May 2022 ) Title: Modular Neural Networks for Low Power Computer Vision Applications

1. Mr. Ankur Sharma (Aug 2021 - May 2022 ) Title: Onboard FPGA based adaptive beamforming with neural network accelerator for ultrasound imaging

BTP

9. Mr. Roshan Mathew (Aug 2020 - May 2021 ) Title: Reinforcement Learning in Ultrasound Imaging

​​​​​​8. Ms. Maria Rose Joseph (Aug 2020 - May 2021 ) Title: System Independent Attenuation Estimation in Ultrasound  Imaging

7. Mr. Satchit Desai (Aug 2020 - May 2021 ) Title: High Frame Rate Ultrasound Imaging for Needle Tracking

6. Mr. Naveen V (Aug 2019 - May 2020) Title:  A Low Cost Ultrasound System Based On Sparse Transducer Arrays

5. Mr. Amit Kumar (Aug 2019 - May 2020) Title:  Parametric Ultrasound Imaging System Towards Computational Sonography 

4. Mr. Saurabh Inge (Jan 2020 - May 2020) (Main Advisor: Prof. Wei Qi Yan, Auckland University of Technology) Title:  Manifold Learning 

3. Mr. Ankit Singh (Aug 2018 - May 2019) Title:  Airborne Ultrasound Based Human Computer Interaction System 

2. Ms. Rachakonda Samhitha (Aug 2018 - May 2019) Title:  Automated Noise Detection And Classification for ECG Holter Monitoring Systems 

1. Mr. S Somasekharan (Aug 2018 - May 2019) Title:  Emotion Detection using Non-Invasive Low-Cost Sensors

OELP

Internships

12. Mr. Arpan Tripathi (Feb 2021 - May 2021 ) Title: Unsupervised Keypoint Detection In Lung Ultrasound Images/Videos

11. Mr. Arjun and Mr. Aniket Singh Rajput (Feb 2021 - May 2021 ) Title:  Subject Independent Emotion Recognition using EEG Signals Employing Attention Driven Neural Networks

10. Mr. Adithya Sineesh (Dec 2020 - Oct 2021) Title: Edge Preserving Pooling strategies in Convolutional Neural Networks

9. Mr. Lafith Mattara (Dec 2020- Jan 2021) Title: Multi-scale Image Enhnacement for Industrial CT images

8. Ms. Aparna Valoor (Jun 2021- Aug 2021) (Funded by Indian Academy of Sciences) Title: Motion Estimation using Neural Networks for Ultrasound based Flow Estimation

7. Mr. Vishnu Ajith (Jun 2021- Aug 2021) (Funded by Indian Academy of Sciences) Title: Motion Estimation using Neural Networks for Ultrasound based Flow Estimation

6. Mr. Fatwir Sheikh Mohammed (Jun 2021- Aug 2021) (Funded by Indian Academy of Sciences) Title: Video Magnification Applied to Ultrasound Imaging

5. Mr. Lafith Mattara (Dec 2020- Jan 2021) Title: Estimation of point spread function of ultrasound images

4. Ms. Anagha Zachariah (Aug 2020 - Oct 2020) Title: Video Summarization in Lung Ultrasound Imaging

3. Mr. Soorya V (May 2020 - July 2020) Title: Automated Image Analysis for Lung Ultrasound

2. Ms. Caroline John (May 2019 - July 2019) Title: Delay and Sum Fixed Beamforming and Minimum Variance Adaptive Beamforming-A Comparison

1. Mr. Mohit Singh (May 2019 - July 2019) (Funded by Indian Academy of Sciences) Title: Towards Bone Aware Image Enhancement in Musculoskeletal Ultrasound Imaging 

Research Area
Signal Processing and Imaging
Digital VLSI Circuits and Systems

Recent Publications

Madhavanunni A. N. and Mahesh Raveendranatha Panicker
Computers in Biology and Medicine (2022)
Rohith Reddy Rachala & Mahesh Raveendranatha Panicker
Springer Nature Computer Science (2022)
Arjun, Aniket Singh Rajpoot, Mahesh Raveendranatha Panicker
Elsevier Biomedical Signal Processing and Control 75 (2022)
Pisharody Harikrishnan Gopalakrishnan and Mahesh Raveendranatha Panicker
Proc. of IEEE International Symposium on Biomedical Imaging (ISBI) (2022)
Madhavanunni A.N. and Mahesh Raveendranatha Panicker
Proc. of IEEE International Symposium on Biomedical Imaging (ISBI) (2022)