Amit Kumar Manocha

About

Dr. Amit Kumar Manocha is a Professor in the Department of Electrical Engineering at Maharaja Ranjit Singh Punjab Technical University (MRSPTU), Bathinda, Punjab, India. He received his B.Tech. degree in Instrumentation and Control Engineering from Kurukshetra University, Haryana, in 2004, and his M.E. degree from Deenbandhu Chhotu Ram University of Science & Technology, Murthal (Erstwhile CRSCE, Murthal) Haryana in 2006. He obtained his Ph.D. in Electrical and Instrumentation Engineering from Thapar University, Patiala, Punjab in 2015. He is presently serving as the Director of the Punjab Institute of Technology, a constituent college of MRSPTU, Bathinda. Over the course of his academic career, he has held several important administrative positions, including Professor In-charge of the Research and Development Cell, In-charge of the Electrical Engineering Department, Professor In-charge of Examinations, and Hostel Warden. Dr. Manocha has edited four books and has authored more than seventy research papers published in reputed national and international journals and conference proceedings. He has served as a Guest Editor for a leading international journal and regularly reviews manuscripts for prominent scholarly publications. He has supervised three Ph.D. scholars and more than twelve M.Tech dissertations. He is the recipient of a major research grant from the Department of Science and Technology (DST), Government of India. He has also contributed as a session chair and resource person at various conferences, seminars, and workshops. His research interests span biomedical instrumentation, cyber-physical systems, control system design, and remote monitoring. He is a member of several professional societies.

Employment

• Maharaja Ranjit Singh Punjab Technical University Professor & Director-Punjab Institute of Technology, Moga (MRSPTU, Bathinda)
  2022 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (58)

• A New Model Reduction Technique for the Design of Controller for the Large-Scale Dynamical Systems
  Circuits, Systems, and Signal Processing 2026 DOI: 10.1007/s00034-026-03618-y
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• A New Approach to Controller and Compensator Design Using Constrained Optimization for Reduced-Order Systems
  Circuits, Systems, and Signal Processing 2026 DOI: 10.1007/s00034-025-03473-3
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• A new method of specifying parameter bounds for optimization of reduced-order models and application in design of controllers
  Applied Mathematical Modelling 2026 DOI: https://doi.org/10.1016/j.apm.2026.116751
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• Approximation of Linear Time Invariant Power System Models Using Multi-Verse Optimizer
  2025 International Conference on Innovations and Emerging Technologies In AI & Communication Systems (IETACS) 2025 DOI: 10.1109/ietacs68750.2025.11385544
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• A schematic study of dimension reduction techniques for complex high-order integer, fractional and interval systems
  Electrical Engineering 2025 DOI: 10.1007/s00202-024-02729-6
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• Advanced Optimization Technique for Reducing Complex High-Order Systems
  Lecture Notes in Networks and Systems 2025 DOI: 10.1007/978-981-96-3253-4_37
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• Dynamic boundary conditions-based optimization approach for efficient model order reduction of complex systems
  Electrical Engineering 2025 DOI: 10.1007/s00202-024-02929-0
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• Moth Flame Optimization for Model Order Reduction of Complex High Order Linear Time-Invariant Systems
  Circuits Systems and Signal Processing 2025 DOI: 10.1007/s00034-024-02800-4
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• Balanced Truncation Constrained Order Reduction of Complex Power Systems using Moth Flame Optimization
  2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024 2024 DOI: 10.1109/ICCCNT61001.2024.10726177
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• Dynamic Boundary Conditions based Optimization Approach for Efficient Model Order Reduction of Complex Systems
  Research Square 2024 DOI: 10.21203/rs.3.rs-4480682/v1
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