Mr. Ram Kumar | Optimization | Best Researcher Award
Mr. Ram Kumar, Government Engineering College, Khagaria, Bihar, India
Ram Kumar is a dedicated Ph.D. candidate in Electrical Engineering at Government Engineering College, Khagaria, Bihar, India. With expertise in control systems, he has contributed significantly to academia with his research on model order reduction and load frequency control strategies. His publications in renowned journals and conferences showcase his innovative approaches, such as fuzzy logic and optimization hybrids. As a former Junior Research Fellow at Dr. B. R. Ambedkar NIT, Jalandhar, he gained valuable experience in project management and instrumentation. šš¬
Publication Profile:
Educational Qualifications:
Ram Kumar’s educational journey reflects his commitment to excellence. He completed his Ph.D. in Electrical Engineering from NIT, Tiruchirappalli, showcasing his dedication to advanced research. Prior to this, he earned an M.Tech in Control and Instrumentation Engineering from Dr. B R Ambedkar NIT, Jalandhar, where he achieved a commendable CGPA of 7.45. His undergraduate studies include a B.Tech in Electrical and Electronics Engineering from Maharshi Dayanand University, Rohtak, where he graduated with an impressive percentage of 79.75. Ram’s academic prowess began early with notable achievements in his Intermediate and Matriculation from BSEB, Patna, setting a strong foundation for his future endeavors. šš
Professional Experience:
Ram Kumar’s professional journey includes a significant stint as a Junior Research Fellow (JRF) at Dr. B. R. NIT, Jalandhar. From February 2020 to March 2021, he contributed his expertise to a CSIR project within the Department of Instrumentation and Control Engineering. This experience allowed him to delve deeper into the practical applications of his academic knowledge, honing his skills in research, project management, and collaboration within a team setting. As a JRF, Ram was entrusted with responsibilities crucial to the success of the project, where he demonstrated his ability to analyze complex problems and propose innovative solutions. His dedication and contributions during this tenure underscore his commitment to advancing the field of electrical engineering and instrumentation. Ram’s time as a JRF not only enriched his professional repertoire but also provided him with valuable insights and hands-on experience that continue to shape his career trajectory. š ļøš¬
Research Focus:
Ram Kumar’s research primarily focuses on control systems and optimization techniques in electrical engineering. His work encompasses model order reduction, load frequency control strategies, and novel controller design methodologies. Through collaborations and publications, he has contributed significantly to the advancement of techniques for large-scale coupled dynamical systems, power system control, and optimization-based control algorithms. His expertise in these areas is evident from the recognition received through citations and presentations at prestigious conferences. Ram’s dedication to pushing the boundaries of knowledge in his field is reflected in his diverse portfolio of research endeavors. š§ ā”
Publication Top Notes:
- A state-of-the-art survey of model order reduction techniques for large-scale coupled dynamical systems (Cited by 8, 2023) š
- Parameter identification for load frequency control using fuzzy FOPID in power system (Cited by 7, 2021) š
- A novel load frequency control of multi area non-reheated thermal power plant using fuzzy PID cascade controller (Cited by 6, 2023) š„
- Controller design strategies for load frequency control in power system(Cited by 5, 2020) šļø
- A new order abatement method based on Atom search optimization (Cited by 2, 2023) š”
- Review and analysis of model order reduction techniques for high-dimensional complex systems (Cited by – , 2024) š
- Atomic Orbital Search Optimization Based Fractional Order PID Controller for 4 DoF Lower Limb Exoskeleton (Cited by – , 2023) š¦æ
- Adaptive Backstepping Control of 2-DOF Helicopter System Under Parametric Uncertainty (Cited by – , 2023) š
- Actuator Selection for Lower Limb Exoskeleton Prototype Design for Paraplegic Patients (Cited by – , 2022) š¦æ
- Order Reduction based on Coulombās and Franklinās laws Algorithm (Cited by – , 2021) š”