Nitin Kumar Saxena

About

Dr. Nitin Kumar Saxena is a distinguished academic and researcher with a strong background in machine learning and power systems. He is a Senior IEEE Member, a member of the IEEE Power & Energy Society (PES), and has held memberships in several other prestigious organizations, including ISTE (Indian Society for Technical Education), IAENG (International Association of Engineers), and AAAS (American Association for the Advancement of Science).

Dr. Saxena completed his Bachelor of Engineering (B.E.) degree from MJP Rohilkhand University, Bareilly, India, in 2002. He went on to earn his M.Tech. degree from the Indian Institute of Technology (IIT) Delhi, New Delhi, India, in 2009. In 2016, he completed his Ph.D. from the National Institute of Technology (NIT) Kurukshetra, India. Currently, he is serving as a Professor at KIET Deemed to be University, Delhi-NCR.

Dr. Saxena has an extensive international career. He has worked as a Visiting Professor at the University of Denver, USA, and has served as Dean (Research) at BFGI Bathinda Punjab and Assistant Dean (Research), Teerthanker Mahaveer University Moradabad and Research Professor and Head at KIET Group of Institutions in Ghaziabad, India. Additionally, he has worked as an Associate Professor at Wolaita Sodo University in Ethiopia and as the Head of the Department at Moradabad Institute of Technology, India. His academic and research expertise has led to invitations from reputed international universities in China, the USA, and Africa.

He is an author with over 60 papers published in SCI journals, 25 conference papers indexed in Scopus, and 12 Scopus-indexed book chapters. Dr. Saxena has also authored three national-level textbooks on Electrical Engineering. He has also organized international level Conferences, Workshops, and Faculty Development Programs. His areas of research interest include machine learning, deregulated power systems, FACTS (Flexible AC Transmission Systems) devices, electric markets, ancillary services, technical education pedagogy, and the application of computer systems in power networks.

Employment

• KIET Group of Institutions Delhi-NCR Ghaziabad Professor & Associate Dean at the School of Doctoral Program (SDP), KIET Deemed to be University, Delhi-NCR, India
  2025 - Present
• Baba Farid College of Engineering and Technology Professor & Dean (R&D)
  2025 - 2025
• Teerthanker Mahaveer University Professor (Research) & Ass. Dean (R&D)
  2024 - 2025
• University of Denver Visiting Faculty (Mechatronics and MATLAB courses)
  2023 - 2024
• University of Denver Visiting Scholar
  2023 - 2023
• Krishna Institute of Engineering & Technology Professor (Research)
  2021 - 2024
• Krishna Institute of Engineering & Technology Professor and Add. HoD
  2019 - 2023
• Wolaita Sodo University Associate Professor
  2017 - 2019
• Moradabad Institute of Technology HoD
  2003 - 2017

Education

• University of Denver Vising Scholar
  2023 - 2023
• National Institute of Technology Kurukshetra Ph.D.
  2012 - 2016
• Indian Institute of Technology Delhi M.Tech.
  2007 - 2009
• Mahatma Jyotiba Phule Rohilkhand University B.E.
  1998 - 2002

Projects & Funding

Projects & funding information is unavailable.

Publications (85)

• Fuzzy logic-based reactive power control for power factor enhancement in EV drives
  Scientific Reports 2026 DOI: 10.1038/s41598-025-34125-w
  +Save
• Short-term load forecasting using artificial neural network and linear regression across multi-city smart grid dataset
  Journal of Electrical Systems and Information Technology 2026 DOI: 10.1186/s43067-026-00391-5
  +Save
• Self‐Sustaining Reactive Power Scheme for Enhancing Electric Vehicle Charging Station Capacity
  International Journal of Energy Research 2026 DOI: 10.1155/er/2066281
  +Save
• Comparative Analysis of Computational Intelligence Techniques for Predicting Coronary Artery Heart Disease: A Study on Logistic Regression, Support Vector Machine, and K-Nearest Neighbor
  International Journal of Computer Information Systems and Industrial Management Applications 2025
  +Save
• Optimizing D-STATCOM Performance for EVCS: A Unified Approach with Genetic Algorithm-Tuned Current Controller and Filter Design
  2025 DOI: 10.1007/978-981-96-1012-9_25
  +Save
• Optimal Allocation of Hybrid Renewable Energy Sources Using Cumulative L-Index Method for Voltage Stability Margin Enhancement
  2025 DOI: 10.1007/978-981-96-1012-9_1
  +Save
• Measurement of Safety Distance for Construction Machinery Operation Based on Binocular Vision and Operational State Perception
  IEEE Transactions on Instrumentation and Measurement 2025 DOI: 10.1109/TIM.2025.3587367
  +Save
• Corrigendum to “Capability Identification for New Charging Station into Distribution System with Electric, Economic and Traffic Considerations” [e-Prime - Advances in Electrical Engineering, Electronics and Energy, Volume 9, September 2024, 100669] (e-Pr…
  E Prime Advances in Electrical Engineering Electronics and Energy 2025 DOI: 10.1016/j.prime.2025.100972
  +Save
• A novel 7-level SCMLI with selective harmonic elimination via war strategy optimization
  Results in Engineering 2025 DOI: 10.1016/j.rineng.2025.105765
  +Save
• A Comprehensive Review of Bias in AI, ML, and DL Models: Methods, Impacts, and Future Directions
  Archives of Computational Methods in Engineering 2025 DOI: 10.1007/s11831-025-10483-6
  +Save