team

Mohanasankar

Professor

Ph.D  Electrical Engineering, University of California at Santa Cruz, U.S. 2006

M.S.  Electrical Engineering, North Carolina State University, U.S., 2003

B.Tech  Instrumentation Engineering, Anna University, India, 2001

044-2257 4454

mohan@ee.iitm.ac.in

Personal Link

  • I am currently Professor in Department of Electrical Engineering at IIT Madras and I head the Healthcare Technology Innovation Centre (HTIC), a joint initiative of IIT Madras and Department of Biotechnology (DBT), Ministry of Science and Technology.

  • Medical devices and diagnostics.
  • biomedical instrumentation.
  • affordable healthcare technologies.
  • healthcare delivery models for resource constrained settings .

  • Indian National Academy of Engineering (INAE) .
  • Young Engineer Award, 2015.
  • IITM's Institute R&D Award (Junior level), 2015.

    Previous Courses

  • EE 5530 - Biomedical Electronic Systems; Course covers principles, design issues and practical aspects of interfacing electronics with living tissue.
  • EE 5141 - Instrumentation Engineering; Course covers principles of measurement, operation and working principles of measuring instruments.

Journals

  • P M Nabeel, D S Chandran, P Kaur, S Thanikachalam, M Sivaprakasam, and J Joseph, Association of incremental pulse wave velocity with cardiometabolic risk factors, Sci Rep, vol 11, no 1, p 15413, 2021.
  • V Raj Kiran, P M Nabeel, D S Chandran, M Sivaprakasam, and J Joseph, High-Frame-Rate A-mode Ultrasound for Calibration-Free Cuffless Carotid Pressure: Feasibility Study Using Lower Body Negative Pressure Intervention, Blood Pressure, 2021 (In Press).
  • S Banerjee, L Magee, D Wang, X Li, H Bing-Xing, J Jayakumar, K Matho, L MengKuan, K Ram, M Sivaprakasam, J Huang, Y Wang, P Mitra, Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder-decoder deep networks, Nat Mach Intell, 2020.
  • L P Bheemavarapu, M I Shah, J Joseph, and M Sivaprakasam, IQVision: An image-based evaluation tool for quantitative lateral flow immunoassay kits, Biosensors, vol 11, no 7, pp 1-18, 2021.
  • A K Sahani, D Srivastava, M Sivaprakasam and J Joseph, A Machine Learning Pipeline for Measurement of Arterial Stiffness in A-Mode Ultrasound, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2021.
  • N Jagadeesh Kumar, J V Venkatakrishnan, C M Kumar, B George, and M Sivaprakasam, Comparative study of silicone membrane simulator and animal eye models for sub Tenon's block, J Clin Monit Comput, vol 35, pp 1519-1524, 2021.
  • R Arathy, P M Nabeel, V V Abhidev, M Sivaprakasam, and J Joseph, An Accelerometric Sensor System with Integrated Hydrostatic Pressure Correction to Assess Carotid Arterial Stiffness, IEEE Sens J, vol 21, no 9, pp 11163-11175, 2021.
  • J Joseph, P M Nabeel, R Sudha Ramachandra, V Ramachandran, M I Shah, and K Prabhdeep, Assessment of carotid arterial stiffness in community settings with ARTSENS, IEEE J Transl Eng Heal Med, vol 9, pp 1-11, 2021.
  • B Murugesan, S Ramanarayanan, S Vijayarangan, K Ram, Naranamangalam R Jagannathan, and M Sivaprakasam, A Deep Cascade of Ensemble of Dual Domain Networks with Gradient-based T1 Assistance and Perceptual Refinement for Fast MRI Reconstruction, Comput Med Imaging Graph, 2021, In press.
  • C H Antink et al, Fast body part segmentation and tracking of neonatal video data using deep learning, Med Biol Eng Comput, vol 58, no 12, pp 3049-3061, 2020.

Conference Proceedings

  • P M Nabeel, R Kiran V, R Manoj, Abhidev V V, M Sivaprakasam and J Joseph, High-Framerate A-Mode Ultrasound for Vascular Structural Assessments: In-Vivo Validation in a Porcine Model: in 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp 5602-5605.
  • R Manoj, V Raj Kiran, P M Nabeel, M Sivaprakasam and J Joseph, Evaluation of Nonlinear Wave Separation Method to Assess Reflection Transit Time: A Virtual Patient Study, in 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp 5551-5554.
  • R Manoj, V Raj Kiran, P M Nabeel, M Sivaprakasam and J Joseph, Separation of Forward-Backward Waves in the Arterial System using Multi-Gaussian Approach from Single Pulse Waveform, in 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp 5547-5550.
  • R Kiran V, Nabeel P M, R Manoj, M I Shah, M Sivaprakasam and J Joseph, Phantom Assessment of an Image-free Ultrasound Technology for Online Local Pulse Wave Velocity Measurement, in 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp 5610-5613.
  • Arathy R, Nabeel P Manoj, Raj Kiran V, Abhidev V V, M Sivaprakasam and J Joseph, Evaluation of Vascular Pulse Contour Indices over the Physiological Blood Pressure Ranges in an Anesthetized Porcine Model, in 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp 5594-5597.
  • R Kiran V, Nabeel P M, M I Shah, M Sivaprakasam and J Joseph, Gaussian-Mixture Modelling of A-Mode Radiofrequency Scans for the Measurement of Arterial Wall Thickness, in 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp 5598-5601.
  • A P S Mohamed Tanveejul, R Vishakh Maheswar, A Vikraman, D R, S P Preejith and M Sivaprakasam, Shot-wise Heart Rate Variability Analysis on Cricket Players, in IEEE 9th International Conference on Serious Games and Applications for Health(SeGAH), 2021, pp 1-7.
  • J C Raju, K S Gayatri, K Ram, R Rangasami, R Ramachandran, and M Sivaprakasam, MIST GAN: Modality Imputation Using Style Transfer for MRI, in Machine Learning in Medical Imaging, 2021, pp 327-336.
  • K K Madhu Mithra, S Ramanarayanan, K Ram and M Sivaprakasam, Reference-Based Texture Transfer for Single Image Super-Resolution of Magnetic Resonance Images, in IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, pp 579-583.
  • P M Nabeel, V Raj Kiran, J Joseph, and M Sivaprakasam, Evaluation of Central Arterial Blood Pressure on Urban, Rural, and Semi-Urban Population in India Using ARTSENS, in Institute of Electrical Engineering of Japan Smart City Conference, 2021, pp 45-50, Art no CMN21026.

Books Authored

  • K Cockerham et al, "Application of MEMS technology and engineering in medicine: A new paradigm for facial muscle reanimation," Expert Rev Med Devices, vol 5, no 3, pp 371-381, 2008.
  • M S Chae, W Liu, and M Sivaprakasam, "Design optimization for integrated neural recording systems," IEEE J Solid-State Circuits, vol 43, no 9, pp 1931-1939, 2008.
  • W Liu and M Sivaprakasam, "IC Technology Challenges for Implantable Devices," Futur Fab Int, vol 20, pp 17-19, 2006.
  • G Wang, W Liu, M Sivaprakasam, and A Kendir, Gurhan, "Design and analysis of an adaptive transcutaneous power telemetry for biomedical implants," IEEE Trans Circuits Syst I Regul Pap, vol 52, no 10, pp 2109-2117, 2005.
  • A Kendir, Gurhan et al, "An optimal design methodology for inductive power link with Class-E amplifier," IEEE Trans Circuits Syst I Regul Pap, vol 52, no 5, pp 857-866, 2005.
  • M Sivaprakasam, W Liu, M S Humayun, and J D Weiland, "A variable range Bi-phasic current stimulus driver circuitry for an implantable retinal prosthetic device," IEEE J Solid-State Circuits, vol 40, no 3, pp 763-771, 2005.
  • M Sivaprakasam, W Liu, G Wang, J D Weiland, and M S Humayun, "Architecture tradeoffs in high-density microstimulators for retinal prosthesis," IEEE Trans Circuits Syst I Regul Pap, vol 52, no 2629-2624, 2005.
  • W Liu, M Sivaprakasam, G Wang, M Zhou, J Granacki, J LaCoss, J Wills, "Implantable Biomimetic Microelectronics Systems Design," IEEE Engineering in Medicine and Biology Magazine, vol 24, no 5, pp 66-74, 2005.

  • 8 years of graduate and post-doc R&D experience involving several biomedical devices for restoring biological functionality in diseases and disabilities such as blindness and paralysis.
  • These projects were in collaboration with leading experts in ophthalmology, neurophysiology, electrophysiology, and MEMS systems, with technology from these projects transferred to real world systems including clinical implants in humans.
  • Returned to India with goal of setting up interdisciplinary R&D program for developing affordable medical technologies in the country to address unmet healthcare needs.
  • Since 2009, successfully built an ecosystem of technologists, clinicians and industry anchored at IIT Madras, culminating in setting up of Healthcare Technology Innovation Centre (HTIC) in 2011 as joint initiative of IITM and DBT.
  • Since 2011, HTIC has grown into a unique and leading med-tech innovation ecosystem in the country bringing together more than 20 medical institutions, industry, government agencies, collaborating with HTIC in developing affordable healthcare technologies for unmet clinical needs.
  • Its 30+ member team of engineers and researchers is developing technologies in areas of cardiovascular, ultrasound, neonatal, oncology, intensive care, ophthalmology, diagnostics, are under development in collaboration with leading organizations, some of which have already reached the field through partnerships.
  • Have initiated the development of an ecosystem of industry experts and researchers to explore the possibilities of leveraging technology for human performance enhancement.
  • Acrophase, a performance enhancement research group, aims to provide technology-driven tools & solutions for systematic and efficient performance improvement to achieve one's peak in various verticals including sports, defense, lifestyle and healthcare
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