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 11 international journals, 40 conferences and 11 patents.
Unsupervised multi-latent space reinforcement learning framework for video summarization in ultrasound imaging
Domain-Aware Contrastive Learning for Ultrasound Hip Image Analysis
A nonlinear beamforming for enhanced spatiotemporal sensitivity in high frame rate ultrasound flow imaging
Hand-Drawn Electrical Circuit Recognition using Object Detection and Node Recognition
Lesion Detectability and Contrast Enhancement with Beam Multiply and Sum Beamforming for Non-Steered Plane Wave Ultrasound Imaging