Home > Academics > Academic Units > Faculty of Engineering and Architecture (FoE&A) > Electrical Engineering > Amit Patra
Currently my major research activities are in the area of DC power management circuits including the design and testing of integrated circuits, early detection of coronary artery disease and the development of battery management systems for various applications.
In the area of DC power management circuits, our work involves the design and development of integrated circuits for transforming the DC power from one voltage level to another. The main challenge in this work is to operate silicon-based design at higher voltages like 48 Volts. Another project being carried out by our team is in the area of energy harvesting for IoT applications. We are also developing tools and techniques for detecting faults in analog and mixed signal circuits. Major industry collaborators are Texas Instruments, Synopsys and NXP Semiconductors.
Coronary Artery Disease (CAD) is an indicator for possible future heart attack of a person. If CAD can be detected at an early stage in a non-invasive manner, then further examinations can be carried out and proper management can be done. The research work at IIT Kharagpur involves the use of a model-based technique which is driven by sensor data in various forms to detect CAD. Some part of this work is being funded by Tata Consultancy Services.
Battery management systems (BMS) are needed for effective utilization and ensuring long life of rechargeable batteries. Our work involves the development of BMS hardware and software for hybrid electric vehicles and other applications. This requires models and algorithms for the estimation of the State of Charge and State of Health of Li-ion batteries. Based on these quantities the Remaining Useful Life of a battery is computed. The work is being done in collaboration with Tata Motors and the Defense Research and Development Organization. Ministry of Human Resource Development, Government of India is generously funding this activity.
A Hybrid Mode Operational Trans-conductance Amplifier for an Adaptively Biased Low Dropout Regulator by Maity A., Patra A. IEEE Transactions on Power Electronics 32 1245-1254 (2017)
Hybrid State Space Modelling of an SI Engine for Online Fault Diagnosis by E.p N., Patra A. , Mukhopadhyay S. Journal of ASME Part-D Dynamic Systems, Measurement and Control 140 - (2017)
A Single-Stage Low-Dropout Regulator With a Wide Dynamic Range for Generic Applications by A. Maity and A. Patra IEEE Transactions on Very Large Scale Integration 24 (6) 2117-2127 (2016)
Unified Digital Modulation Techniques for DC-DC Converters over aWide Operating Range: Implementation, Modeling, and Design Guidelines by Mandi B. C., Kapat S. , Patra A. IEEE Trans. Cir. Syst. I 65 1442-1453 (2018)
State of Health Estimation of Lithium-Ion Batteries Using Capacity Fade and Internal Resistance Growth Models by Guha A., Patra A. IEEE Transactions on Transportation Electrification 4 135-146 (2018)
Trade-offs Aware Design Procedure for an Adaptively Biased Capacitor-less Low Drop-out Regulator Using Nested Miller Compensation by Maity A., Patra A. IEEE Transactions on Power Electronics 31 369-380 (2016)
Online Estimation of the Electrochemical Impedance Spectrum and Remaining Useful Life of Lithium-Ion Batteries by Guha A., Patra A. IEEE Transactions on Instrumentation and Measurement 67 1836-1849 (2018)
Modeling of cardiovascular circulation for the early detection of coronary arterial blockage by Jain K., Srinivasu M. , Patra A. Mathematical Biosciences 304 79-88 (2018)
Research Monograph by S. Pandit, C. R. Mandal and A. Patra Nano-scale CMOS Analog Circuits: Models and CAD Techniques for High-Level Design - (2014)
GENERAL MOTORS ECS CRL FOR EDUCATION General Motors Technical Centre India Pvt. Ltd.
Safety Assurance in Automotive Electronics Synopsys Inc.
Cardiac Modeling Using Non-Invasive Physiological Sensing for Cardiac Condition Screening Tata Consultancy Services
Centre of Excellence on Energy Aware Urban Infrastructure Science and Engineering Research Board (SERB)
Design of Integrated Power Management ICs using Synopsys Custom Design Flow Synopsys Inc.
Synopsys CAD Laboratory Phase III Synopsys Inc.
Generic Object Detection and Recognition Techniques for Embedded Vision System Synopsys Inc.
Synopsys CAD Laboratory Project Phase II Synopsys Inc.
Opened & Intelligent Plug-in Hybrid Electric Vehicle (PHEV) Technologies for Smart Indian Cities (UAY_I_IITKGP_019) Ministry of Heavy Industries and Public Enterprises, GoI
Area of Research: System on Chip Design
Area of Research: Embedded Systems on Chip Design
Area of Research: Power Management for Energy Scavenging
Area of Research: DC Power Conversion
Area of Research: Formal Methods for Analog CAD
Area of Research: Diagnostics and Prognostics
Area of Research: Cardiovascular System Modeling and Diagnostics
Area of Research: Signal Processing
Area of Research: Battery Pack Design and Development
Area of Research: Embedded Controls and Software for Hybrid Electric Vehicles
Karuna Prasad Sahoo
Area of Research: Cardiovascular Systems Modeling and Signal Processing
Moduga Vijaya Babu
Area of Research: Control with communication constraints
Area of Research: Battery Management Systems
Area of Research: Biomedical Signal Processing
Area of Research: Neurocardiac Signal Analysis and Diagnostics
Area of Research: Power IC Design