Sushant Konar

Disruptive engineer with a knack for interdisciplinary research exploring the applications of technology in medicine. Lifelong passion for technology and solving challenges with multidimensional technology stack experience. Proven capability to identify problems and needs in medicine, learning new skills in relation to the given problems and pursuing solutions relentlessly. Exposure to both technical and clinical environments including sensitive operation theatres and intensive care units and continuously striving for excellence and progress.

• Doctoral Studies, Designed, developed, and deployed AI/ML based systems for critical events prediction in postoperative cardiac surgical patients in partnership with Cardiac Anesthesiologists and Cardiac Surgeons. Supported technology initiatives in COVID-19 research, drug discovery and infection control. Significant contribution in supercomputing applications research in cardiac surgery as part of National Supercomputing Mission, India.
• Janitri Innovations Pvt. Ltd., Designed and developed an electrophysiology based uterine contraction and fetal heart rate monitoring solution for intrapartum monitoring solution. Developed AI/ML based algorithm towards detection of fetal distress as part of a funding by Bill and Melinda gates foundation in Maternal and Childcare.
• Graduate Studies, Designed standalone embedded systems solutions to capture and process ECG signals. Interned for a startup called Janitri, with an objective to develop an intrapartum monitoring solution targeted at low resource healthcare settings.
• Undergraduate Studies, Designed hardware and software solutions to capture PPG, PCG and ECG solutions from discrete components. Developed algorithms for pre-processing and postprocessing of electrophysiological signals with an objective to detect abnormalities.

• Chairman Dr J G Shanmuganathan best publication award in anaesthesiology 2023
• Senior Research Fellowship by Indian Council of Medical Research to pursue doctoral studies
• AICTE GATE 2015 scholarship to pursue graduate studies

• Copyright Application Diary Number: 15687/2022-CO/SW for computer software titled "A Matlab based framework for automated sorting and consolidation of multivariate, multistep blood investigation data - Data Clearing Tool" in the name of (1) Indian Council Of Medical Research (2) Postgraduate Institute Of Medical Education And Research and (3) Sikkim Manipal University
• Copyright Application Diary Number: 15688/2022-CO/SW for computer software titled "A Python based framework for automated extraction of blood investigation data from patient reports in Portable document format - Data Extraction Tool" in the name of (1) Indian Council Of Medical Research (2) Postgraduate Institute Of Medical Education And Research and (3) Sikkim Manipal University

• Indian Council of Medical Research, Chandigarh, India, Senior Research Fellow, 01/01/2020, 12/31/2023, Deputed at the Department of Anaesthesia and Intensive Care, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
• A National level followship award to pursue research titled "Design and Development of an Artificial Intelligence/ Machine Learning algorithm towards prediction of critical events in cardiac surgical patients."
• Maintenance and Operation of Anaesthesia Information Management System (AIMS)
• Secured funding under the aegis of National Supercomputing mission jointly funded by Department of Science and Technology (DST) and Department of Electronics and Information technology (DeitY), India to pursue research titled "An Artificial Intelligence based forecasting model for non-linear multivariate biomedical time series."
• Designed, developed and deployed algorithms on PARAM Yukti.
• Biomedical Instruments and Devices Hub, Chandigarh, India, Senior Research Fellow, 01/01/2019, 12/31/2020, Product research in medical devices, clinical environments, clinical research and calibration. Supported validation of multiple medical devices and developed processes to enhance calibration and maintenance of medical devices at the Institute. Collaborated with clinicians to develop and deploy an AI/ML based Covid Mortality prediction algorithm.
• Janitri Innovations Pvt. Ltd., Research and Development Lead, 01/01/2017, 12/31/2019, Designed and developed the prototype of Keyar, an electrohysterogram and electrocardiogram based uterine contraction and fetal monitoring solution targeted at low resource healthcare setting during the intrapartum period.
• Led the development of Keyar, an electrophysiology based uterine contraction and getal monitoring solution.
• Designed, developed, and executed clinical research trials for the product Keyar, with multiple hospitals in India.
• Made significant contributions to multiple grant applications to multiple agencies such as startup Karnataka, Grand Challenges Canada and Bill & Melinda gates foundation.
• Designed and developed a prototype AI/ML based Fetal distress classification algorithm based on the electrophysiological time series signals.
• Janitri Innovations Pvt. Ltd., Electronics Design Engineer - Intern

• Ganesan R, Mahajan V, Singla K, Konar S, Samra T, Sundaram SK, Suri V, Garg M, Kalra N, Puri GD. Mortality prediction of COVID-19 patients at intensive care unit admission. Cureus. 2021 Nov 18;13(11).
• Ganesan, R Konar S et al. (2024) 'Application of concept drift detection and adaptive framework for non linear time series data from Cardiac Surgery', Computational Intelligence, 40(3). doi:10.1111/coin.12658.
• Konar S, Auluck N, Ganesan R, Goyal AK, Kaur T, Sahi M, Samra T, Thingnam SK, Puri GD. A nonlinear time series based artificial intelligence model to predict outcome in cardiac surgery. Health and Technology. 2022 Nov 14:1-3.
• Puri GD, Samra T, Jindal A, Singla H, Konar S. Evaluation of Accuracy of an Indigenous Cost-Effective and User-Friendly Alarm System for Monitoring of Intravenous Infusion-IV ALERT. IETE Journal of Research. 2023 Apr 3;69(3):1597603.
• Bhoi AK, Sherpa KS, Konar S. TBC algorithm to detect R-Peak and HRV analysis for ischemia heart disease. In2014 International Conference on Communication and Signal Processing 2014 Apr 3 (pp. 552556). IEEE.