Dr. Shouvik Chakraborty - RV University

Dr. Shouvik Chakraborty

Assistant Professor


  • About
  • Publication & Works
  • Research Summary
  • Awards & Achievements

Dr. Shouvik Chakraborty is a seasoned professional with over 6 years of experience in Academic Research, Teaching and Industrial Product Development. He has completed his PhD in Autonomous Systems from IIEST Shibpur in the year 2022. His Doctoral research focuses on the development of embedded estimation and control strategies for Autonomous Driving Assistance.

He has extensive experience in end-to-end product development in the domain of IoT, Embedded Systems and Full Stack Web Development in an industrial setup. He has led muliple projects from conceptualizatin to design and testing to commisioning. His research interest caters to the domain of Autonomous Robotics, Machine Learning and Sensor Fusion.

He hobbies includes tinkering with electronics. He also has special interest in Music and Travelling.

Golden divider

He who has a why to live for can bear with almost any how.” - Hector Garcia Puigcerver

S. Chakraborty, A. Sutradhar, and A. Sengupta, “AUKF based unified estimation scheme for nonlinear vehicle dynamics,” International Journal of Vehicle Design, vol. 88, No. 1 2022.


S. Chakraborty, A. Sutradhar, and A. Sengupta, “Modular estimation of lateral vehicle dynamics and application in optimal AFS control,” Proc. of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2021.


S. Sen, S. Chakraborty, A. Dhar, and A. Sutradhar, “Two-stage adaptive sliding-mode controller for vehicle yaw stability using differential abs,” in 2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI), IEEE, 2016, pp. 31–35.


S. Chakraborty, S. Sen, A. Sutradhar, and A. Sengupta, “Estimation of tire-road friction coefficient and frictional force for active vehicle safety system,” in International Conference on Industrial Instrumentation and Control (ICIC), IEEE, 2015, pp. 674–679.


  • Estimation and Control of Vehicle Dynamics
  • Kalman filter based sensor fusion
  • Robotics for Neurorehabilitation
  • Research Interests
  • Estimation, Control, Sensor Fusion, Machine Intelligence and Robotics
  • UGC Basic Scientific Research Fellowship

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