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Associate Professor

Mahesh Raveendranatha Panicker

Program Lead, Minor in Artificial Intelligence
PhD, Nanyang Technological University (NTU), Singapore
Cluster:
Infocomm Technology
Email
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Website
Google Scholar

Biography

  • 17+ years of post PhD experience in research and development of signal/image/video processing algorithms for bio-medical and industrial applications with 8+ years in industry (GE and Samsung).

  • Senior Member with IEEE, Six Sigma Green Belt certified and a TRIZ practitioner.

  • Published research findings in 33 international journals, 80 international conferences and 12 patents.

  • Consultant to Vexev Inc, AIMitari MedTech, Tricog Health.

  • Recipient of Early Career Research Award from Science and Engineering Research Board, Government of India in 2019. 

  • Won General Electric (GE) wide technical excellence awards in 2013 and 2015.

  • Won silver award for ten or more patents with GE

Education

  • Ph.D., 2009
    • School of Computer Engineering, Nanyang Technological University (NTU), Singapore
    • Dissertation topic: Reconfigurable low complexity digital filter banks for software radio receivers
    • Link: https://www.doi.org/10.32657/10356/47469
  • B. Tech., 2003 (First Rank in the University)
    • Department of Electrical and Electronics Engineering, Rajiv Gandhi Institute of Technology (Govt. Engineering College), Mahatma Gandhi University, Kerala, India
    • Dissertation topic: Microprocessor based Autonomous Robot

Professional Experience

Total Work Experience – 18 years (Teaching: 8 years, Industry: 8 years, Post Doctoral: 2 years)

Dec 2023 - Till NowSingapore Institute of TechnologyAssociate Professor, Infocomm Technology Cluster
Nov 2021 – Dec 2023Indian Institute of Technology, PalakkadAssociate Professor, Department of Electrical Engineering
Oct 2021 – Aug 2023Indian Institute of Technology, PalakkadHead of the Department, Electrical Engineering
June 2018 – Nov 2021Indian Institute of Technology, PalakkadAssistant Professor, Electrical Engineering
May 2017 – May 2018Samsung Research Institute, Bangalore, IndiaSenior Chief Engineer, Ultrasound Systems, Healthcare and Medical Equipments (HME)
Aug 2010 – April 2017GE Global Research, Bangalore, IndiaLead Engineer at Software Sciences and Analytics Research
Aug 2008 – Jul 2010Nanyang Technological University, SingaporeResearch Fellow

SIT Appointments

  • Program Lead, Minor in Artificial Intelligence
    – Present

Education

  • PhD
    Nanyang Technological University (NTU) , Singapore
  • B. Tech
    Mahatma Gandhi University , India

Achievements

  • Early Career Research Award
    –

Professional Certification

  • Six Sigma Green Belt
    General Electric (GE)
    –
  • TRIZ Level 2
    The International TRIZ Assocation
    –

Professional Memberships

  • IEEE Senior Member
    – Present

Corporate Experience

  • Senior Chief Engineer, Samsung Research Institute, Bangalore, India
    –
  • Lead Engineer, General Electric (GE) Global Research, Bangalore, India
    –
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Research Interests

  • Signal/Image/Video Processing
  • Machine Learning for Imaging
  • Embedded Computing
  • Ultrasound Imaging

  • For more comprehensive details of research, please visit https://www.pulseecho.in

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Journal Papers

    1. Midhila Madhusoodanan, Mahesh Raveendranatha Panicker and Abhilash R Hareendranathan, “POCUS-Net: Beamforming Inclusive Image Translation Approach for High Quality Pediatric Bone Visualization in Point of Care Ultrasound.” IEEE Transactions on Ultrasonics. https:
      //doi.org/10.1109/TUSON.2026.3681226
    2. Mimisha M Menakath, Mahesh Raveendranatha Panicker and Hareesh G, “Orthogonal Linear Array based Product Beamforming for Real Time Underwater 3D Acoustical Imaging.” IEEE Journal of Ocean Engineering. pp. 561 - 575, Volume: 51, Issue: 1, January 2026. https://doi.org/10.1109/JOE.2025.3633536
    3. Abdul Rahoof, Vivek Chaturvedi, Mahesh Raveendranatha Panicker, Muhammad Shafique and Gang Quan, “FeatuReBeam: Efficient Beamforming for High Frame Ultrasound Imaging using Adaptive Feature Reuse with (m,k)-Guarantee.” IEEE Access. Volume 13, September
      2025. https://doi.org/10.1109/ACCESS.2025.3604479
    4. Mimisha M Menakath, Mahesh Raveendranatha Panicker, Hareesh G, Midhila Madhusoodanan and Tessin K Jose, “Experimental Validation of Underwater Target Modeling using k-Wave Toolbox for Acoustical Imaging.” IEEE Sensors Letters. Volume: 9, Issue: 7, 2025. https:
      //doi.org/10.1109/LSENS.2025.3575532
    5. Gopalakrishnan, Pisharody Harikrishnan, and Mahesh Raveendranatha Panicker, “Non-Newtonian Fluid Lens for Wearable Planewave Ultrasound Imaging System.” Elsevier Biomedical Engineering Advances. Vol. 9, June 2025, 100173. https://doi.org/10.1016/j.bea.2025.
      100173
    6. Abdul Rahoof, Vivek Chaturvedi, Mahesh Raveendranatha Panicker and Muhammad Shafique, “CapsBeam: Accelerating Capsule Network based Beamformer for Ultrasound Non-Steered Plane Wave Imaging on Field Programmable Gate Array.” IEEE Transactions on Very Large Scale Integration Systems. pp. 1934 - 1944, Volume: 33, Issue: 7, July 2025. https://doi.org/10.1109/TVLSI.2025.3559403
    7. Mimisha M Menakath, Mahesh Raveendranatha Panicker, Hareesh G, and Rubin Peter, “Towards Sparse Planar Array Underwater Acoustical Imaging Using Compressive Sensing Pattern Matching Technique.” IEEE Transactions on Instrumentation and Measurement (2025):4502811. https://doi.org/10.1109/TIM.2025.3545198
    8. Soolmaz Abbasi, Assefa Seyoum Wahd, Shrimanti Ghosh, Maha Ezzelarab, Mahesh Raveendranatha Panicker, Yale Tung Chen, Jacob Jaremko, Abhilash Hareendranathan, “Improved A-line and B-line Detection in Lung Ultrasound Using Deep Learning with Boundary-Aware Dice Loss.” MDPI Biomedical Engineering and Biomaterials: 12(3):311 (2025). https://doi.org/10.3390/bioengineering12030311
    9. Gopalakrishnan, Pisharody Harikrishnan, and Mahesh Raveendranatha Panicker, “Non-Newtonian fluid coupling media for wearable ultrasound imaging systems using rigid linear sensor array.” Sensors and Actuators A: Physical 376 (2024): 115588. https://doi.org/10.1016/j.sna.2024.115588
    10. Arpan Tripathi, Abhilash Rakkunedeth, Mahesh Raveendranatha Panicker, Jack Z. Zhang, Naveenjyote S. Booora and Jaremko L Jacob, “Deep Learning Approach for Automatic Wrist Fracture Detection Using Ultrasound Bone Probability Maps”, Springer Nature Comprehensive Clinical Medicine, 5, 276 (2023). https://doi.org/10.1007/s42399-023-01608-8
    11. Malamal, Gayathri, Hans-Martin Schwab, and Mahesh Raveendranatha Panicker, ”Enhanced Needle Visualization with Reflection Tuned Apodization based on the Radon Transform for Ultrasound Imaging”, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (2023). https://doi.org/10.1109/TUFFC.2023.3316284
    12. Anto, Anito, Linda Rose Jimson, Tanya Rose, Mohammed Jafrin, and Mahesh Raveendranatha Panicker, ”SPAALUV: Software Package for Automated Analysis of Lung Ultrasound Videos”, SoftwareX 23 (2023): 101460. https://doi.org/10.1016/j.softx.2023.101460
    13. Jinu Joseph, Mahesh Raveendranatha Panicker, Yale Tung Chen, Kesavadas Chandrasekharan, Vimal Chacko Mondy, Anoop Ayyappan, Jineesh Valakkada and Kiran Vishnu Narayan, “lungEcho-Resource Constrained Lung Ultrasound Video Analysis Tool for Faster Triaging and Active Learning”, in Elsevier Biomedical Engineering Advances 6 (2023): 100094. https://doi.org/10.1016/j.bea.2023.100094
    14. Madhavanunni A. N. and Mahesh Raveendranatha Panicker, “Beam Multiply and Sum Beamforming for Non-Steered Plane Wave High Framerate Ultrasound Imaging,” in Elsevier Biomedical Signal Processing and Control 85 (2023): 104807.https://doi.org/10.1016/j.bspc.2023.104807
    15. Gayathri M and Mahesh Raveendranatha Panicker, “On the Physics of Ultrasound Transmission for In-Plane Needle Tracking in Guided Interventions,” in Biomedical Physics & Engineering Express. 9, no. 3 (2023): 035018. https://doi.org/10.1088/2057-1976/acc338
    16. Adithya Sineesh and Mahesh Raveendranatha Panicker, “Exploring Novel Pooling Strategies for Edge Preserved Feature Maps in Convolutional Neural Networks”, in Springer Multimedia Systems, 29, 1277–1290 (2023). https://doi.org/10.1007/s00530-023-01053-6
    17. Gayathri M and Mahesh Raveendranatha Panicker, “A Novel Technique for Estimation and Detection of Specular Reflections by Leveraging High Frame Rate Ultrasound Imaging,” in IEEE Transactions on Instrumentation and Measurement 72 (2022): 1-11. https://doi.org/10.1109/TIM.2022.3232642
    18. Arpan Tripathi, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth, Jacob Jaremko, Yale Tung Chen, Kiran Vishnu Narayan, Kesavadas C , “Unsupervised Landmark Detection and Classification of Lung Infection Using Transporter Neural Networks,” accepted in Elsevier Computers in Biology and Medicine 152 (2023): 106345. https://doi.org/10.1016/j.compbiomed.2022.106345
    19. 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”, IEEE Journal of Biomedical and Health Informatics. Volume: 27, (1), January 2023. https://doi.org/10.1109/JBHI.2022.3208779
    20. Abhilash Rakkunedeth Hareendranathan, Arpan Tripathi, Mahesh Raveendranatha Panicker, Yuyue Zhou, Jessica Knight and Jacob L Jaremko, “Domain-Aware Contrastive Learning for Ultrasound Hip Image Analysis,” in Elsevier Computers in Biology and Medicine 149 (2022): 106004. https://doi.org/10.1016/j.compbiomed.2022.106004
    21. 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 147, 105686 (2022). https://doi.org/10.1016/j.compbiomed.2022.105686
    22. Rohith Reddy Rachala and Mahesh Raveendranatha Panicker, “Hand-Drawn Electrical Circuit Recognition Using Object Detection and Node Recognition”, in Springer Nature Computer Science, 3, 244 (2022). https://doi.org/10.1007/s42979-022-01159-0
    23. Arjun, Rajpoot, Aniket Singh, and Mahesh Raveendranatha Panicker, “Subject independent emotion recognition using EEG signals employing attention driven neural networks”, in Elsevier Biomedical Signal Processing and Control, 75 (2022): 103547. https://doi.org/10.1016/j.bspc.2022.103547
    24. 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
    25. 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
    26. Mahesh, R., and A. Prasad Vinod, “An area-efficient non-uniform filter bank for low overhead reconfiguration of multi-standard software radio channelizers,” in Springer Journal of Signal Processing Systems, 64.3 (2011): 413-428. https://doi.org/10.1007/s11265-010-0502-9
    27. Mahesh, R., and A. Prasad Vinod, “A low-complexity flexible spectrum-sensing scheme for mobile cognitive radio terminals,” in IEEE Transactions on Circuits and Systems II: Express Briefs 58.6 (2011): 371-375. https://doi.org/10.1109/TCSII.2011.2158167
    28. Mahesh, R., and A. Prasad Vinod, “Low complexity flexible filter banks for uniform and non-uniform channelisation in software radios using coefficient decimation,” in IET circuits, devices & systems 5.3 (2011): 232-242. https://doi.org/10.1049/iet-cds.2010.0010
    29. 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,” in IEEE Transactions on Aerospace and Electronic Systems 47.2 (2011): 1241-1255. https://doi.org/10.1109/TAES.2011.5751255
    30. Mahesh, R., and A. Prasad Vinod, “New reconfigurable architectures for implementing FIR filters with low complexity,” in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 29.2 (2010): 275-288. https://doi.org/10.1109/TCAD.2009.2035548
    31. Mahesh, R., A. Prasad Vinod, Edmund MK Lai, and Amos Omondi, “Filter bank channelizers for multi-standard software defined radio receivers,” in Springer Journal of Signal Processing Systems 62.2 (2011): 157-171. https://doi.org/10.1007/s11265-008-0327-y
    32. 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,” in IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences 91.9 (2008): 2564-2570. https://doi.org/10.1109/ICICS.2007.4449884
    33. Mahesh, R., and A. Prasad Vinod, “Reconfigurable frequency response masking filters for software radio channelization,” in IEEE Transactions on Circuits and Systems II: Express Briefs 55.3 (2008): 274-278. https://doi.org/10.1109/TCSII.2008.918996
    34. Mahesh, R., and A. Prasad Vinod, “A new common subexpression elimination algorithm for realizing low-complexity higher order digital filters,” in 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. Gopika Gopikrishnan, Mahesh Raveendranatha Panicker, Timothy Liu, Ng Aik Beng and Simon Chong-Wee See, “ADAPT: Multibeamformer with Tunable Weight Fusion and Patch-Wise Learning for Ultrasound Imaging,” in Proc. of 2026 IEEE International Symposium on
      Biomedical Imaging, London, 8-11 April 2026. (Accepted)
    2. Mahesh Raveendranatha Panicker, Rudra Sainatha, Gopika Gopikrishnan and Somashekhar Dehury, “Uncertainty-Guided Multi-Task Consistency for Semi-Supervised Carotid Plaque Segmentation and Vulnerability Assessment,” in Proc. of 2026 IEEE International Symposium on Biomedical Imaging, London, 8-11 April 2026. (Accepted)
    3. Rudra Sainatha and Mahesh Raveendranatha Panicker, “Adaptive Probe Geometry Estimation for High Frame Rate Imaging Using Flexible Ultrasound Arrays,” in Proc. of 2026 IEEE International Symposium on Biomedical Imaging, London, 8-11 April 2026. (Accepted)
    4. Midhila Madhusoodanan, Mahesh Raveendranatha Panicker, and Abhilash R. Hareendranathan, “Deep Learning-Based Accelerated Adaptive Beamforming for Enhanced Musculoskeletal Ultrasound Imaging,” in Proc. of 2026 IEEE International Symposium on Biomedical
      Imaging, London, 8-11 April 2026. (Accepted)
    5. Gayathri Malamal, and Mahesh Raveendranatha Panicker, “Reinforcement Learning Augmented Ultrasound Beamforming for Precision Needle Tracking,” in Proc. of 2025 IEEE International Ultrasonics Symposium, Utrecht, Netherlands, 15-18 Sep 2025. https://doi.org/10.
      1109/IUS62464.2025.11201246
    6. Midhila Madhusoodanan, Mahesh Raveendranatha Panicker, and Abhilash R. Hareendranathan, “Enhanced Musculoskeletal Ultrasound Imaging Through PatchGAN Adaptation of Raw Channel Data,” in Proc. of 2025 IEEE International Ultrasonics Symposium, Utrecht,
      Netherlands, 15-18 Sep 2025. https://doi.org/10.1109/IUS62464.2025.11201859
    7. Midhila Madhusoodanan, Mahesh Raveendranatha Panicker, and Abhilash R. Hareendranathan, “EB-NET: a Deep Learning Approach for Enhanced Beamforming in Ultrasound Imaging,” in Proc. of 2025 IEEE International Ultrasonics Symposium, Utrecht, Netherlands,
      15-18 Sep 2025. (Accepted and expanded version under review in IEEE TUFFC)
    8. Shrimanti Ghosh, Geetika Vadali, Yuyue Zhou, Ayush Singh, Jessica Knight, Mahesh Raveendranatha Panicker, Abhilash R. Hareendranathan, Jacob L. Jaremko, “Video Summarization and Fracture Detection in Pediatric Wrist Ultrasound Using Deep Reinforcement Learning,” in
      Proc. of 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Copenhagen, Denmark, July 14-17, 2025. https://doi.org/10.1109/embc58623.2025.11251547
    9. Shrimanti Ghosh, Geetika Vadali, Ayush Singh, Yuyue Zhou, Banafshe Felfeliyan, Assefa Wahd, Jessica Knight, Mahesh Raveendranatha Panicker,Jacob L. Jaremko, Abhilash R. Hareendranathan, “Shoulder Rotator Cuff Tear Detection From Ultrasound Videos Using Deep Rein-
      forcement Learning,” in Proc. of 2025 IEEE International Symposium on Biomedical Imaging, Houston, US, 14-17 April 2025. https://doi.org/10.1109/ISBI60581.2025.10981103
    10. Midhila Madhusoodanan, Mahesh Raveendranatha Panicker, Deep Bera, Veerendra K Shetty, Bala Subrahmanyam Varanasi, A. N Madhavanunni, “TGC-NET: A Deep Learning Model for Automatic Time Gain Compensation for Ultrasound Imaging,” in Proc. of 2025
      IEEE International Symposium on Biomedical Imaging, Houston, US, 14-17 April 2025. https://doi.org/10.1109/ISBI60581.2025.10980805
    11. Arun Kumar V, Madhavanunni A N and Mahesh Raveendranatha Panicker, “Ai Enabled High Frame Rate Portable Ultrasound Imaging Pipeline: Prototype Implementation with GPU Acceleration,” in Proc. of 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, Taipei, Taiwan, September 22-26, 2024 (Accepted)
    12. Mahesh Raveendranatha Panicker, A. N. Madhavanunni, and Gayathri Malamal, “Towards Automated Image Quality Assessment in Ultrasound Imaging”, in Proc. of 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, Taipei, Taiwan, September 22-26, 2024 (Accepted)
    13. Gopalakrishnan, Pisharody Harikrishnan, and Mahesh Raveendranatha Panicker, “Non-Newtonian Acoustic Gel for Wearable Ultrasound Monitoring System” in Proc. of 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, Taipei, Taiwan, September 22-26, 2024 (Accepted)
    14. Arpan Tripathi, Abhilash Rakkunedeth, Mahesh Raveendranatha Panicker, Jack Z. Zhang, Naveenjyote S. Booora and Jaremko L Jacob. “Domain Specific Transporter Framework to Detect Fractures in Ultrasound” in Proc. of 2024 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, Orlando, Florida, USA, July 2024 (Accepted)
    15. Joel Joy, A. N. Madhavanunni, Gayathri Malamal and Mahesh Raveendranatha Panicker, “Towards Multi-perspective Panoramic Ultrasound Imaging Using Low-cost 3D Printed Track and 1D Linear Probe,” in Proc. of 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, May. 2024. (Accepted)
    16. Gayathri M and Mahesh Raveendranatha Panicker, “FPGA Based Adaptive Receive Apodization Design for Diagnostic Ultrasound Imaging,” in Proc. of 2024 IEEE International Symposium on Circuits & Systems (ISCAS), Singapore May. 2024. (Accepted)
    17. Midhila Madhusoodanan, Mahesh Raveendranatha Panicker and Mimisha M. Menakath, “A Comparison of Beamforming Algorithms for Underwater 2D Acoustical Imaging,” in Proc. of IEEE OCEANS, Singapore April. 2024. (Accepted)
    18. Midhila Madhusoodanan, Mahesh Raveendranatha Panicker and Mimisha M. Menakath, “Modelling of Underwater Target for Sector Scan Sonar Imaging using k-Wave Toolbox,” in Proc. of IEEE OCEANS, Singapore April. 2024. (Accepted)
    19. Harshinee M, Gayathri M and Mahesh Raveendranatha Panicker, “Investigation of Capacitive Micromachined Transducers for Characterizing Specular Reflectors in Diagnostic Ultrasound Imaging,” in Proc. of IEEE South Asian Ultrasonics Symposium (SAUS) 2024, IIT Gandhinagar, India March. 2024. (Accepted)
    20. Madhavanunni A N, and Mahesh Raveendranatha Panicker, “On the Performance Investigation of Diverging-Wave-Based Vector Doppler Imaging with Linear Arrays: In-silico Results,” in Proc. of IEEE South Asian Ultrasonics Symposium (SAUS) 2024, IIT Gandhinagar, India March. 2024. (Accepted)
    21. Madhavanunni A N, Niya M Benoy, Mahesh Raveendranatha Panicker and Himanshu Sekhar, “A Performance Evaluation of Filtered Delay Multiply and Sum Beamforming for Ultrasound Localization Microscopy: Preliminary Results,” in Proc. of IEEE South Asian Ultrasonics Symposium (SAUS) 2024, IIT Gandhinagar, India March. 2024. (Accepted) [Second best student paper award]
    22. Arun Kumar V, Madhavanunni A N, Nivetha S and Mahesh Raveendranatha Panicker, “On the Echogenicity of Natural Starch-Based Blood Mimicking Fluids for Contrast Enhanced Ultrasound Imaging: Preliminary In-vitro Experiments,” in Proc. of IEEE South Asian Ultrasonics Symposium (SAUS) 2024, IIT Gandhinagar, India March. 2024. (Accepted)
    23. Madhavanunni A N and Mahesh Raveendranatha Panicker, “Performance Evaluation of Beam Multiply and Sum Beamforming with Coherent Plane Wave Compounding: In-vitro Results,” in Proc. of IEEE South Asian Ultrasonics Symposium (SAUS) 2024, IIT Gandhinagar, India March. 2024. (Accepted)
    24. Abdul Rahoof, Vivek Chaturvedi, Mahesh Raveendranatha Panicker and Muhammad Shafique, “Tiny-VBF: Resource-Efficient Vision Transformer based Lightweight Beamformer for Ultrasound Single-Angle Plane Wave Imaging,” in Proc. of the Design, Automation and Test in Europe Conference, Valencia, Spain, March. 2024. https://arxiv.org/pdf/2311.12082.pdf
    25. Ayush Singh, Pisharody Harikrishnan Gopalakrishnan and Mahesh Raveendranatha Panicker, “Ultrasound based Gas Detection: Analyzing Acoustic Impedance for High-Performance and Low-Cost Solutions,” in Proc. of 16th International Conference on Sensing Technology, Hyderabad, Dec. 2023. https://doi.org/10.1109/ICST59744.2023.10460790
    26. M.S. Asif and Mahesh Raveendranatha Panicker, “On the Application of Log Compression and Enhanced Denoising in Contrast Enhancement of Digital Radiography Image,” in Proc. of 8th International Conference on Computer Vision & Image Processing (CVIP-2023), IIT Jammu, November, 2023. (Accepted) https://arxiv.org/pdf/2304.04018.pdf
    27. Antony Jerald, Madhavanunni A. N., Gayathri Malamal, Pisharody Harikrishnan Gopalakrishnan and Mahesh Raveendranatha Panicker, “A Simplified 3D Ultrasound Freehand Imaging Framework Using 1D Linear Probe and Low-Cost Mechanical Track,” in Proc. of 8th International Conference on Computer Vision & Image Processing (CVIP-2023), IIT Jammu, November, 2023. (Accepted) https://arxiv.org/pdf/2302.08297.pdf
    28. Gayathri Malamal and Mahesh Raveendranatha Panicker, “A Performance Investigation of Receive Beamforming Schemes for Specular Tissue Characterization,” in Proc. of IEEE International Ultrasonics Symposium 2023, Montreal, September, 2023. https://doi.org/10.1109/IUS51837.2023.10306901
    29. Gayathri Malamal and Mahesh Raveendranatha Panicker, “Enhancing Needle Tracking in Ultrasound Guided Interventions Using Unsupervised Reinforcement Learning Based Accelerated Adaptive Minimum Variance Beamforming,” in Proc. of IEEE International Ultrasonics Symposium 2023, Montreal, September, 2023. https://doi.org/10.1109/IUS51837.2023.10307612
    30. Ayush Singh, Pisharody Harikrishnan Gopalakrishnan and Mahesh Raveendranatha Panicker, “A Prototype System for High Frame Rate Ultrasound Imaging based Prosthetic Arm Control,” in Proc. of 45th IEEE EMBC 2023, Sydney, July. 2023. https://doi.org/10.1109/EMBC40787.2023.10340873
    31. Asif M S, Gayathri Malamal, Madhavanunni A N, Vikram Melapudi, Rahul V, Abhijit Patil, Rajesh Langoju and Mahesh Raveendranatha Panicker, “Fast Marching based Tissue Adaptive Delay Estimation for Aberration Corrected Delay and Sum Beamforming in Ultrasound Imaging,” in Proc. of 45th IEEE EMBC 2023, Sydney, July. 2023. https://doi.org/10.1109/EMBC40787.2023.10341150
    32. Adithya Sineesh, Manish Rangarajan Shankar, Abhilash Hareendranathan, Mahesh Raveendranatha Panicker and P Palanisamy, “Single Image based Super Resolution Ultrasound Imaging Using Residual Learning of Wavelet Features,” in Proc. of 45th IEEE EMBC 2023, Sydney, July. 2023. https://doi.org/10.1109/embc40787.2023.10340196
    33. Mimisha M Menakath, Mahesh Raveendranatha Panicker and Hareesh G., “An Efficient Cross Array Beamforming for Underwater 3D Acoustical Imaging,” in Proc. of OCEANS 2023, Limerick, June. 2023. https://doi.org/10.1109/OCEANSLimerick52467.2023.10244470
    34. Mimisha M Menakath, Mahesh Raveendranatha Panicker and Hareesh G., “A comparison of software implementation of time domain DAS beamforming and CZT beamforming for underwater acoustical 3D imaging,” in Proc. of OCEANS 2023, Limerick, June. 2023. https://doi.org/10.1109/OCEANSLimerick52467.2023.10244384
    35. Midhila Madhusoodanan, Mahesh Raveendranatha Panicker, Mimisha M Menakath, Hareesh G. and Pradeepa R, “Underwater Target Modelling using k-Wave Toolbox by Multilayering Technique for Acoustical Imaging,” in Proc. of OCEANS 2023, Limerick, June. 2023. https://doi.org/10.1109/OCEANSLimerick52467.2023.10244416
    36. Sreehari V R and Mahesh Raveendranatha Panicker, “Physics driven deep learning based simulation of side scan sonar images,” in Proc. of OCEANS 2023, Limerick, June. 2023. https://doi.org/10.1109/OCEANSLimerick52467.2023.10244600
    37. Mayank Katare, Mahesh Raveendranatha Panicker, Madhavanunni A.N. and Gayathri M, “Learning while Acquisition: Active Learning Framework for Beamforming in Ultrasound Imaging,” in Haq, N., Johnson, P., Maier, A., Qin, C., W ̈urfl, T., Yoo, J. (eds) Machine Learning for Medical Image Reconstruction. MLMIR 2022. Lecture Notes in Computer Science, vol 13587. Springer, Cham. https://doi.org/10.1007/978-3-031-17247-2_12
    38. Roshan P Mathews, Mahesh Raveendranatha Panicker, Abhilash R Hareendranathan, Yale Tung Chen, Jacob L Jaremko, Brian Buchanan, Kiran Vishnu Narayan, Kesavadas C, Greeta Mathews, “RL based Unsupervised Video Summarization for US Imaging”, in In: Aylward, S., Noble, J.A., Hu, Y., Lee, SL., Baum, Z., Min, Z. (eds) Simplifying Medical Ultrasound. ASMUS 2022. Lecture Notes in Computer Science, vol 13565. Springer, Cham. https://doi.org/10.1007/978-3-031-16902-1_3
    39. Mimisha M Menakath, Mahesh Raveendranatha Panicker and Hareesh G., “k-Wave as a modelling tool for underwater 3D acoustic imaging,” in Proc. of OCEANS 2022, Hamptons Roads, Oct. 2022. https://doi.org/10.1109/OCEANS47191.2022.9977164
    40. Mimisha M Menakath, Mahesh Raveendranatha Panicker and Hareesh G., “A comparison of time domain vs frequency domain delay and sum beamforming for underwater 3D imaging,” in Proc. of OCEANS 2022, Hamptons Roads, Oct. 2022. https://doi.org/10.1109/OCEANS47191.2022.9977328
    41. 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. https://doi.org/10.1109/ISBI52829.2022.9761480 [Finalist to the best student paper award]
    42. 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. https://doi.org/10.1109/ISBI52829.2022.9761662
    43. 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. https://doi.org/10.1109/OCEANSChennai45887.2022.977528
    44. 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 2021. https://doi.org/10.1109/EMBC46164.2021.9629837
    45. 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
    46. 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
    47. 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/EMBC46164.2021.9630742 [Finalist to the best student paper award]
    48. 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
    49. Mahesh Raveendranatha Panicker, Yale Tung Chen, Gayathri M, Madhavanunni A N, Kiran 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
    50. 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
    51. 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
    52. 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/10.1109/TENCON50793.2020.9293757
    53. 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
    54. 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
    55. 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 [Finalist to the best student paper award]
    56. 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
    57. 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
    58. 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 2016. http://www.humanbrainmapping.org/files/2016/OHBM_2016GenevaAbstracts.pdf
    59. 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
    60. 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
    61. 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
    62. 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
    63. 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
    64. 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
    65. 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
    66. 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
    67. 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
    68. 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
    69. 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
    70. 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
    71. 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
    72. 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
    73. Jimson Mathew, R. Mahesh, A. P. Vinod and E. M-K. Lai, “Realization of low power high-speed 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
    74. 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
    75. 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
    76. 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
    77. 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
    78. 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
    79. 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
    80. 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
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Teaching Modules

Applied Artificial, BSc (Hons)

  • AAI3001 - Computer Vision and Deep Learning

Past

  • INF2009 - Edge Computing and Analytics
  • CEG3004 - Digital Signal Processing
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