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INDIAN INSTITUTE OF TECHNOLOGY PALAKKAD
Nila Campus, Kanjikode, Palakkad, Kerala - 678623
04923 226 300 (Office) | info@iitpkd.ac.in

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Mr. Madhavanunni A N
Research Scholar
Electrical Engineering
121813001@smail.iitpkd.ac.in
Research Area: Biomedical Ultrasound Imaging
View Website
  • Biosketch

    Education

    (Pursuing) Doctor of Philosophy (Ph.D.) in Electrical Engineering (July 2018 - Present)

    --- Joined IIT Palakkad as an M.S. research scholar in July 2018 and upgraded to Ph.D. in June 2020.

    --- Area of Research: Biomedical Ultrasound Imaging

    Bachelor of Technology (B. Tech) in Electrical and Electronics Engineering (2011 - 2015)

    --- College of Engineering Adoor, Cochin University of Science And Technology, Kerala.

    --- Final Year Project: Microchip Based Fuzzy Logic Controller for Reactive Power Compensation.

     

    Professional Experience

    Jan 2020 - Mar 2020:  Intern, Texas Instruments Inc., Bangalore

    Dec 2015 - Mar 2017: Programmer Analyst, Cognizant Technology Solutions (CTS) India Pvt. Ltd., Coimbatore

    Nov 2015: Graduate Trainee, Cochin Shipyard Ltd., Kerala

     

    Professional Activities

    Graduate Student Member: Institute of Electrical and Electronics Engineers (IEEE), IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society, IEEE Engineering in Medicine & Biology Society, IEEE Signal Processing Society, IEEE Instrumentation and Measurement Society

    Student Member: International Society for Optics and Photonics (SPIE) 

    Reviewer: IEEE EMBC 2023, IEEE INDICON 2022
     

    Achievements

    Jan 2023: Excellence in Teaching Assistance Award, Department of Electrical Engineering, Indian Institute of Technology Palakkad, India.

    Oct 2022: Best Poster Award in the Symposium cum Hands-on Workshop on Medical Imaging, Indian Institute of Science Education and Research (IISER) Thiruvananthapuram, India. (Poster Title: Multiply and Sum Based Nonlinear Beamforming for Enhanced Spatiotemporal Sensitivity in Ultrafast Ultrasound Flow Imaging)

    Nov 2021: Best Poster Award in Research Scholars' Day 2021, Indian Institute of Technology Palakkad, India.

    Oct 2021: Student Paper Competition Finalist, 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Mexico (Online), 2021. (Paper title: "An Angle Independent Depth Aware Fusion Beamforming Approach for Ultrafast Ultrasound Flow Imaging")

    Jan 2020: Robert F Wagner All Conference Best Student Paper Award Finalist, SPIE Medical Imaging 2020, Houston, USA (Paper title: "Triangulation based vector flow imaging with non-steered plane waves for transverse flows")

    Jan 2020: Got selected by Kerala Development and Innovation Strategic Council (KDISC) and Kerala Start-up Mission for the Young Innovation Program 2019-2022. (Project: Eye-movement based Speller System)

    Sep 2019: Best Poster Award in Research Scholars' Day 2019, Indian Institute of Technology Palakkad, India. (Poster Title: Triangulation based vector flow imaging for transverse flows)

  • Research

    Research Publications:

    Journals:

    1. Madhavanunni A. N. and Mahesh Raveendranatha Panicker, "A Nonlinear Beamforming for Enhanced Spatiotemporal Sensitivity in High Frame Rate Ultrasound Flow Imaging", Computers in Biology and Medicine, vol. 147, p. 105686, Aug. 2022. [arXiv] [GitHub]

    2. Madhavanunni A. N. and Mahesh Raveendranatha Panicker, “Beam Multiply and Sum: A Tradeoff between Delay and Sum and Filtered Delay Multiply and Sum Beamforming for Ultrafast Ultrasound Imaging", Biomedical Signal Processing and Control,” (Accepted, March 2023) [GitHub]. 

     

    International Conferences:

    1. Mayank Katare, Mahesh Raveendranatha Panicker, Madhavanunni A.N. and Gayathri M, “Learning while Acquisition: Towards Active Learning Framework for Beamforming in Ultrasound Imaging,” in Proc. of MICCAI 5th International Workshop on Machine Learning for Medical Image Reconstruction, MLMIR 2022, Singapore, Sep. 2022. [arXiv]

    2. Madhavanunni A.N. and Mahesh Raveendranatha Panicker, "Lesion Detectability and Contrast Enhancement with Beam Multiply and Sum Beamforming for Non-steered Plane Wave Ultrasound Imaging", in Proc. of IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, ITC Royal Bengal, Kolkata, India, March 2022. 

    3. 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), Mexico (Online), Oct 2021. [arXiv] (Finalist for the Student Paper Competition)

    4. 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 28th IEEE International Conference on Image Processing (ICIP) 2021, Alaska, Sep 2021.

    5. Madhavanunni A.N. and Mahesh Raveendranatha Panicker, "Directional beam focusing based dual apodization approach for improved vector flow imaging", in Proc. of 17th IEEE International Symposium on Biomedical Imaging (ISBI), 2020, Iowa City, April 2020. 

    6. 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. (Finalist for the Robert F. Wagner All Conference Best Student Paper Award)

     

    Preprints: 

    1. Antony Jerald, A. N. Madhavanunni, 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",  [arXiv]

    2. Sairoop Bodepudi, A N Madhavanunni and Mahesh Raveendranatha Panicker, "Patch Based Transformation for Minimum Variance Beamformer Image Approximation Using Delay and Sum Pipeline", [arXiv]

    3. 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". [arXiv]

     

    Patents:

    1. Harikrishnan Pisharody Gopalkrishnan, Mahesh Raveendranatha Panicker, Madhavanunni A.N., Gayathri Malamal. "Array Adaptive Ultrasound Apparatus for Variable Field of View Imaging" India Patent No. 202141036310 (Published)
  • Teaching

    Teaching Assistance

    EE2080 - Microprocessor Design and Interfacing (Jan - May 2023, Jan - May 2022, Jan - May 2021)

    EE2170 - Digital Circuits Lab (Aug - Nov 2022, Jan - May 2021, Aug - Nov 2019)

    EE5005 - Digital Image Processing (Aug - Nov 2021)

    ME1160 - Workshop Practice II (Aug - Nov 2021)

    EE2010 - Basic Electrical Engineering (Aug - Nov 2020) 

    EE4051 - Biomedical Instrumentation and Signal Processing (Jan - May 2019)

  • Phd Supervisor
    mahesh
  • Additional Information
    Title
    Teaching Assistance
    Description

    EE2170 - Digital Circuits Lab (Aug - Nov 2022, Jan - May 2021, Aug - Nov 2019)

    EE2080 - Microprocessor Design and Interfacing (Jan - May 2022, Jan - May 2021)

    EE5005 - Digital Image Processing (Aug - Nov 2021)

    ME1160 - Workshop Practice II (Aug - Nov 2021)

    EE2010 - Basic Electrical Engineering (Aug - Nov 2020) 

    EE4051 - Biomedical Instrumentation and Signal Processing (Jan - May 2019)

    Title
    Research Publications
    Description

    Journals:

    1. Madhavanunni A. N. and Mahesh Raveendranatha Panicker, "A Nonlinear Beamforming for Enhanced Spatiotemporal Sensitivity in High Frame Rate Ultrasound Flow Imaging", Computers in Biology and Medicine, vol. 147, p. 105686, Aug. 2022. [arXiv] [Code]

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

     

    International Conferences:

    1. Mayank Katare, Mahesh Raveendranatha Panicker, Madhavanunni A.N. and Gayathri M, “Learning while Acquisition: Towards Active Learning Framework for Beamforming in Ultrasound Imaging,” in Proc. of MICCAI 5th International Workshop on Machine Learning for Medical Image Reconstruction, MLMIR 2022, Singapore, Sep. 2022. [arXiv]

    2. Madhavanunni A.N. and Mahesh Raveendranatha Panicker, "Lesion Detectability and Contrast Enhancement with Beam Multiply and Sum Beamforming for Non-steered Plane Wave Ultrasound Imaging", in Proc. of IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, ITC Royal Bengal, Kolkata, India, March 2022. 

    3. 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), Mexico (Online), Oct 2021. [arXiv] (Finalist for the Student Paper Competition)

    4. 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 28th IEEE International Conference on Image Processing (ICIP) 2021, Alaska, Sep 2021.

    5. Madhavanunni A.N. and Mahesh Raveendranatha Panicker, "Directional beam focusing based dual apodization approach for improved vector flow imaging", in Proc. of 17th IEEE International Symposium on Biomedical Imaging (ISBI), 2020, Iowa City, April 2020. 

    6. 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. (Finalist for the Robert F. Wagner All Conference Best Student Paper Award)

     

    Preprints 

    1. Sairoop Bodepudi, A N Madhavanunni and Mahesh Raveendranatha Panicker, "Patch Based Transformation for Minimum Variance Beamformer Image Approximation Using Delay and Sum Pipeline", [arXiv]

    2. 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". [arXiv]

     

    Patents:

    1. Harikrishnan Pisharody Gopalkrishnan, Mahesh Raveendranatha Panicker, Madhavanunni A.N., Gayathri Malamal. "Array Adaptive Ultrasound Apparatus for Variable Field of View Imaging" India Patent No. 202141036310 (Filed)
    Title
    Recent Updates
    Description

    Oct 2022: Best Poster Award in the Symposium cum Workshop on Medical Imaging, Indian Institute of Science Education and Research (IISER) Thiruvananthapuram, India. (Poster Title: Multiply and Sum Based Nonlinear Beamforming for Enhanced Spatiotemporal Sensitivity in Ultrafast Ultrasound Flow Imaging)

    Jan 2022: Delivered an invited talk on "Depth Aware Beamforming for Ultrafast Ultrasound Flow Imaging" in Texas Instruments Inc., Bangalore, India on 27th Jan, 2022.

    Nov 2021: Best Poster Award in Research Scholars' Day 2021, Indian Institute of Technology Palakkad, India.

    Oct 2021: The paper titled "An Angle Independent Depth Aware Fusion Beamforming Approach for Ultrafast Ultrasound Flow Imaging" got selected as a finalist for the Student Paper Competition in the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

    Jul 2021: Our research work on portable ultrafast ultrasound imaging has been featured as an article titled Ultrasound Upgraded in the IIT Tech Ambit magazine, June 2021. Link to full article: Ultrasound Upgraded

    Jun 2020: Upgraded from MS (by Research) to Ph.D.

    Mar 2020: Completed an internship at Texas Instruments Inc., Bangalore. Project Title: Voltage, current and power measurement schemes for portable ultrasound imaging system (Jan - Mar 2020)

    Jan 2020: Paper titled "Triangulation based vector flow imaging with non-steered plane waves for transverse flows" got shortlisted for Robert F Wagner All Conference Best Student Paper Award at SPIE Medical Imaging 2020, Houston, USA.

    Jan 2020: Got selected by Kerala Development and Innovation Strategic Council (KDISC) and Kerala Start-up Mission for the Young Innovation Program 2019-2022. (Project: Eye-movement based Speller System)

    Sep 2019: Best Poster Award in Research Scholars' Day 2019, Indian Institute of Technology Palakkad, India. (Poster Title: Triangulation based vector flow imaging for transverse flows)

Ahalia Campus

Indian Institute of Technology Palakkad
Ahalia Integrated Campus
Kozhippara P. O | Palakkad
Kerala | Pin: 678557

Nila Campus

Indian Institute of Technology Palakkad
Nila Campus
Near Gramalakshmi Mudralayam
Kanjikkode | Palakkad
Kerala | Pin: 678623

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