Shivaraj S - Control systems - Best Researcher Award
Université de Lorraine - Germany
Professional Profiles
Early Academic Pursuits:
Shivaraj S. Mohite embarked on his academic journey with a strong foundation in Electrical Engineering at Veermata Jijabai Technological Institute (VJTI), Mumbai, India. He earned his Bachelor of Technology (B. Tech) degree with a commendable CGPA of 7.82/10. Building on this academic success, Shivaraj pursued a Master of Technology (M. Tech) in Control System - Electrical Engineering at VJTI, achieving an impressive CGPA of 9.01/10. His academic prowess reached new heights as he pursued a Ph.D. in Automation and Control Systems at the University of Lorraine, CRAN, France. The title of his doctoral thesis, "Observer Design for Nonlinear Systems using LMI Relaxation Techniques," reflects his deep engagement with cutting-edge control system research.
Professional Endeavors:
Shivaraj's professional journey encompasses diverse roles that have contributed to his growth and expertise. As a Site Engineer at Lodha Developers Limited in Mumbai, India, from July 2016 to August 2018, he gained hands-on experience in the field, honing his practical skills in engineering applications. During his M. Tech studies, Shivaraj served as a Teaching Assistant at VJTI, Mumbai, from July 2019 to August 2020. He played a crucial role in imparting knowledge in courses such as Linear Control Design and Nonlinear System Analysis, showcasing his commitment to both academic and practical aspects of control systems. His dedication to education extended beyond traditional classroom settings, as he also served as a Private Tutor, covering a spectrum of subjects including Mathematics, Algebra, Geometry, Physics, Chemistry, and Science from April 2014 to March 2020.
Contributions and Research Focus On Control systems:
Shivaraj's research journey is marked by significant contributions to the field of control systems, particularly in the design of observers for nonlinear systems. His Ph.D. research, titled "Nonlinear Observer Design using LMI-Relaxation Techniques," exemplifies his commitment to advancing the understanding and application of control methodologies. During his M. Tech studies, Shivaraj engaged in impactful projects such as the design of an observer for Autonomous Vehicles and the estimation of State of Charge (SOC) for battery models using Kalman filters and nonlinear observers. These projects showcase his versatility in addressing real-world challenges through innovative control system solutions. In his current role as a Research Assistant at the Mechanical and Process Engineering Department, RPTU, Kaiserslautern, Germany, Shivaraj is actively involved in a project focused on Linear Parameter Varying (LPV) systems. His postdoctoral work involves designing an LMI-based observer for a nonlinear Lipschitz LPV system, showcasing a continuation of his research excellence.
Accolades and Recognition:
Shivaraj's academic and research achievements have not gone unnoticed. His consistently high CGPA during his master's and doctoral studies attests to his academic excellence. His contributions to the field of control systems have likely earned him recognition within the academic and research communities.
Impact and Influence:
Shivaraj's work has the potential to significantly impact the field of control systems, particularly in the context of nonlinear observer design. The application of LMI relaxation techniques in his research could pave the way for more robust and efficient control methodologies, with implications for various autonomous systems and vehicles.
Legacy and Future Contributions:
Shivaraj S. Mohite's legacy is characterized by a dedication to academic excellence and a commitment to pushing the boundaries of control system research. His future contributions are anticipated to further advance the understanding and application of control methodologies, leaving a lasting impact on the field and inspiring future generations of researchers and engineers.
Notable Publications:
Application of Regression based Speed Estimation for Sensorless Vector Controlled im Drive 2020
Enhancing the Performance Index of Battery Management System Using Nonlinear Approach 2020
MPC based State Observer and its application for system with input-output disturbances 2019