Abhishek Saxena | Engineering | Best Faculty Award

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Dr. Abhishek Saxena | Engineering | Best Faculty Award

Dr. Abhishek Saxena, ITM University, Gwalior India

Dr. Abhishek Saxena is an accomplished academic leader and researcher in the field of electrical engineering, specializing in power systems and optimization. With a Ph.D. in Electrical Engineering from R.G.P.V., Bhopal, Dr. Saxena has contributed significantly to the academic community through his work at ITM University, Gwalior. He is a recognized expert in the areas of restructured power systems and optimization methodologies, holding an international patent for his work in real-time computing and power management. His passion for education is reflected in his teaching roles and leadership, aiming to foster innovation and excellence. With a dedication to advancing knowledge in power systems, Dr. Saxena continues to guide and mentor students, researchers, and professionals in the field.

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Suitability for the "Research for Best Faculty Award" – Dr. Abhishek Saxena

Dr. Abhishek Saxena demonstrates exceptional academic and professional contributions that make him highly suitable for the "Research for Best Faculty Award." His vast body of work, which includes a Ph.D. in Electrical Engineering, several years of teaching experience, numerous published journal papers, conference papers, and a recent international patent, highlights his dedication to research excellence. As an Assistant Professor at ITM University since 2012, he has continually worked towards advancing the academic standards in the field of Electrical Engineering, particularly in Restructured Power Systems and Power System Optimization.

Dr. Saxena's research output is both diverse and significant. He has contributed extensively to peer-reviewed journals and conferences, with notable papers in highly regarded publications, such as Cogent Engineering and the International Journal of Electrical Engineering and Technology. His expertise in optimizing power markets and electricity pricing, demonstrated in his work on "Wheeling Prices" and "Congestion Management in Open Access Power," is cutting-edge. He has also been recognized for his innovative approach with the 2013 Best Researcher Award from ITM University and an international patent in 2024 for his innovation in real-time computing and power management.

Education

Dr. Abhishek Saxena holds a Ph.D. in Electrical Engineering from R.G.P.V., Bhopal (2025). He earned his M.E. in Industrial Systems and Drives from Madhav Institute of Technology and Science, Gwalior (2009), where he developed expertise in electrical systems. He completed his B.E. in Electrical Engineering from Maharana Pratap College of Technology, Gwalior (2006). His academic journey reflects a commitment to deepening his knowledge and advancing his research interests in restructured power systems and power optimization. Dr. Saxena's robust educational foundation has enabled him to make significant contributions to both academia and industry, fostering advancements in power systems and optimization.

 Professional Experience 

Dr. Saxena's professional career spans various roles in academia and industry. He is currently an Assistant Professor in the Electrical Engineering Department at ITM University, Gwalior, where he has been teaching since May 2012. Prior to this, he worked as a Lecturer at NRI Institute of Technology & Management, Gwalior (2008-2012). His professional experience also includes consulting as the Director of MMAH Online & Techno Key Private Limited, Gwalior since September 2023. His teaching experience is complemented by his contributions to research and innovation, particularly in power systems optimization. He has guided numerous students and collaborated on impactful research projects in the field of electrical engineering.

Awards and Recognition 

Dr. Abhishek Saxena has received several accolades for his academic and research achievements. Notably, he was honored with the Best Researcher Award in 2013 at ITM University, Gwalior, acknowledging his contributions to the field of electrical engineering. He has also qualified for prestigious exams such as GATE 2008 in the Electrical stream and OpenMAT 2009 for MBA entrance with an 'A' grade. His achievements extend to his work on international patents, including an innovative system for real-time computing and power management. Dr. Saxena’s commitment to advancing research and education in the field of power systems continues to earn him recognition from peers and industry leaders alike.

Research Skill On Engineering

Dr. Saxena’s research skills are focused on power systems optimization, restructured power systems, and dynamic pricing methodologies. His expertise includes the application of advanced computational techniques such as genetic algorithms, artificial neural networks, and deep reinforcement learning to optimize power systems. Dr. Saxena has significantly contributed to the development of wheeling pricing models and transmission pricing methodologies. His research is characterized by a strong analytical approach and a commitment to practical, real-world solutions for energy systems. He has published extensively in reputed journals and presented his work at international conferences, highlighting his proficiency in addressing complex challenges in the power sector. Dr. Saxena’s work continues to influence both academic research and industrial applications in power systems and optimization.

 Publication Top Notes

  • Title: Congestion management in open access—a review
    Authors: A. Saxena, S.N. Pandey, L. Srivastava
    Citation: International Journal of Science, Engineering and Technology Research, 2(4)
    Citations: 14
    Year: 2013

  • Title: Genetic algorithm based wheeling prices allocation for Indian power utility by using MVA-mile and MW-mile approaches
    Authors: A. Saxena, S.N. Pandey, L. Srivastava
    Citation: 2016 International Conference on Emerging Trends in Electrical Electronics
    Citations: 11
    Year: 2016

  • Title: DC-OPF based allocation of wheeling prices for varying contribution of producers and customers
    Authors: A. Saxena, S.N. Pandey, L. Srivastava
    Citation: 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)
    Citations: 6
    Year: 2016

  • Title: ALLOCATION OF OPTIMIZED WHEELING PRICES THROUGH TRACING IN COMPETITIVE POWER MARKET
    Authors: A. Saxena, I.S.N. Pandey, I.L. Srivastava
    Citation: International Journal of Electrical Engineering and Technology, 12(2), 151–170
    Citations: 2
    Year: 2021

  • Title: Assessment of Incremental Cost and Reinforcement Timing for Uncertain Future Generation and Demand in Competitive Power Market
    Authors: A. Saxena, S.N. Pandey, L. Srivastava
    Citation: 2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
    Citations: 2
    Year: 2020

  • Title: Wheeling Prices Methodology: A Review
    Authors: A. Saxena, A. Tripathi
    Citation: International Journal of Enhanced Research in Science, Technology & Engineering
    Citations: 1
    Year: 2014

  • Title: Metaphor-less Rao-3 and artificial neural network with parallel computing-based wheeling pricing in competitive power market
    Authors: A. Saxena, S.N. Pandey, S. Dixit
    Citation: Cogent Engineering, 11(1), 2340321
    Citations: —
    Year: 2024

  • Title: Wheeling Price Optimization And Allocation Using A Modified Rao-2 Algorithm In An Open Access Power Market Environment
    Authors: S.D. Abhishek Saxena, Seema N. Pandey
    Citation: NOVYI MIR Research Journal, 8(6), 61–71
    Citations: —
    Year: 2023

  • Title: Bacterial Foraging Particle Swarm Optimization based Wheeling Pricing Allocation through AF-mile and RF-mile approach
    Authors: A. Saxena, S.N. Pandey, S. Dixit
    Citation: 2023 IEEE 12th International Conference on Communication Systems and Network Technologies (CSNT)
    Citations: —
    Year: 2023

  • Title: Genetic algorithm based wheeling prices assessment and allocation in hybrid power market
    Authors: L.S. Abhishek Saxena, Seema N. Pandey
    Citation: High Technology Letters, 27(2), 205–220
    Citations: —
    Year: 2021

AWAIS KHAN | Engineering | Best Researcher Award

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Assist. Prof. Dr. AWAIS KHAN | Engineering | Best Researcher Award

👤 Assist. Prof. Dr. AWAIS KHAN, Beijing Institute of Technology Zhuhai Campus, China

Dr. Awais Khan is an Assistant Professor at the Beijing Institute of Technology, Zhuhai Campus, specializing in advanced control systems, renewable energy technologies, and interval observers. With a PhD in Control Theory and Control Engineering from South China University of Technology, Dr. Khan has made significant contributions to mechatronics and control engineering during his tenure as a Postdoctoral Research Fellow at Shenzhen University. His research is recognized for its innovative approach, particularly in the application of control systems in energy-efficient technologies. A prolific researcher and published author, Dr. Khan has been actively involved in securing research funding and publishing in top-tier journals. His passion for both teaching and research allows him to foster a dynamic learning environment for students while contributing to the advancement of technology in engineering and energy sectors.

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🌟 Summary of Suitability for the Research for Best Researcher Award

Awais Khan’s impressive academic background and research trajectory make him highly suitable for the Research for Best Researcher Award. He currently serves as an Assistant Professor at the Beijing Institute of Technology, where he leads cutting-edge research in advanced control systems, renewable energy technologies, and interval observers. His teaching excellence, combined with his groundbreaking research contributions, aligns well with the award’s criteria, which honors those making significant academic and technological advancements.

Awais Khan’s postdoctoral experience at Shenzhen University further solidifies his research prowess, particularly in mechatronics and control engineering. His work has been recognized in reputable journals, with a consistent record of impactful publications in high-impact platforms such as IEEE Transactions and the Journal of the Franklin Institute. He has demonstrated leadership in securing research funding and fostering interdisciplinary collaboration.

🎓   Education 

Dr. Awais Khan holds a PhD in Control Theory and Control Engineering from the South China University of Technology (2016–2020), where his research focused on interval observers and their applications to control theory. Prior to that, he earned a Master’s degree in Electrical Engineering from the University of Engineering and Technology (UET) Lahore (2014–2016). Dr. Khan’s academic journey began with a Bachelor of Science in Electronics Engineering from UET Peshawar (2009–2013), which laid the foundation for his expertise in engineering and control systems. Throughout his academic career, he has received several scholarships, including the prestigious Chinese Government Scholarship for his PhD studies. His educational background is complemented by his active participation in various research projects, workshops, and technical conferences, enabling him to stay at the forefront of advancements in control systems, renewable energy technologies, and energy-efficient engineering solutions.

💼   Professional Experience 

Since 2022, Dr. Awais Khan has been an Assistant Professor at the Beijing Institute of Technology, Zhuhai Campus, where he teaches a range of courses, including C/C++, Probability & Statistical Analysis, Circuits & Electronics, and Physics. His role involves both delivering high-quality lectures and conducting groundbreaking research in advanced control systems, renewable energy, and interval observers. Prior to this, Dr. Khan was a Postdoctoral Research Fellow at Shenzhen University (2020–2022), where he worked on mechatronics and control engineering, developing innovative technologies in interdisciplinary research collaborations. His work on interval observers for nonlinear systems garnered attention, leading to publications in reputable journals. Dr. Khan has also contributed to National Natural Science Foundation of China projects, enhancing the understanding of control systems in uncertain environments. His teaching and research experience are central to his contributions to the field, shaping future engineers and advancing the integration of energy-efficient technologies.

🏅 Awards and Recognition 

Dr. Awais Khan has been recognized for his outstanding contributions to control systems and engineering through several prestigious awards and honors. Notably, he received the Best Presentation Award at the EECR in 2018, reflecting his excellence in research communication. His doctoral research, supported by the Chinese Government Scholarship, marked a milestone in the development of interval observers for linear and nonlinear systems. In addition, Dr. Khan serves as an editor for Technological Innovations & Energy and has been an active member of professional organizations, such as the IEEE and the International Association of Engineers, since 2024. His scholarly work has been widely recognized, with numerous publications in leading journals and conferences. He continues to secure research grants, supporting the advancement of innovative technologies in control systems and energy efficiency. Dr. Khan’s contributions to both academia and the engineering community have made him a respected figure in the field.

🌍  Research Skills On Engineering

Dr. Awais Khan possesses a deep proficiency in advanced control systems, renewable energy technologies, and interval observers. His research expertise spans control theory, nonlinear systems, and energy-efficient technologies, focusing on their applications in both academia and industry. With a strong background in mechatronics and control engineering, he has developed innovative solutions for system stability and energy optimization. Dr. Khan is skilled in designing interval observers for dynamic systems, particularly in uncertain environments, and has published extensively on the subject. His work also explores adaptive control strategies for robotics and power systems, leveraging cutting-edge technologies such as SiC and GaN. Dr. Khan is proficient in several programming languages, including Matlab, Simulink, Python, and C/C++, enabling him to implement complex models and simulations for his research. His skills in interdisciplinary collaboration and securing funding for research projects further highlight his versatility and commitment to advancing technological solutions in engineering.

 📖 Publication Top Notes

  • A survey of interval observers design methods and implementation for uncertain systems
    A Khan, W Xie, Z Bo, LW Liu
    Journal of the Franklin Institute, 358(6), 3077-3126, 2021
    Citation: 52
  • Design and Applications of Interval Observers for Uncertain Dynamical Systems
    A Khan, W Xie, Z Langwen, LW Liu
    IET Circuits, Devices & Systems, 14(6), 721-740, 2020
    Citation: 48
  • Path Planning for Wheeled Mobile Robot in Partially Known Uneven Terrain
    B Zhang, G Li, Q Zheng, X Bai, Y Ding, A Khan
    Sensors, 22(14), 5217, 2022
    Citation: 41
  • Finite‐time nonsingular terminal sliding mode control of converter‐driven DC motor system subject to unmatched disturbances
    A Rauf, M Zafran, A Khan, AR Tariq
    International Transactions on Electrical Energy Systems, 31(11), e13070, 2021
    Citation: 26
  • Interval state estimation for linear time-varying (LTV) discrete-time systems subject to component faults and uncertainties
    A Khan, W Xie, L Zhang, Ihsanullah
    Archives of Control Sciences, 29(2), 289-305, 2019
    Citation: 22
  • Set-Membership Interval State Estimator Design Using Observability Matrix for Discrete-Time Switched Linear Systems
    A Khan, LW Liu, W Xie
    IEEE Sensors Journal, 20(11), 6121-6129, 2020
    Citation: 20
  • Interval State Estimator Design for Linear Parameter Varying (LPV) Systems
    A Khan, X Bai, Z Bo, P Yan
    IEEE Transactions on Circuits and Systems II: Express Briefs, 68(8), 2865-2869, 2021
    Citation: 19
  • Finite‐time functional interval observer for linear systems with uncertainties
    L Liu, W Xie, A Khan, L Zhang
    IET Control Theory & Applications, 14(18), 2868-2878, 2020
    Citation: 14
  • Fault detection and diagnosis for a class of linear time-varying (LTV) discrete-time uncertain systems using interval observers
    Z Yi, W Xie, A Khan, B Xu
    2020 39th Chinese Control Conference (CCC), 4124-4128, 2020
    Citation: 14
  • Interval State Estimator Design Using the Observability Matrix for Multiple Input Multiple Output Linear Time-Varying Discrete-Time Systems
    A Khan, W Xie
    IEEE Access, 7, 167566-167576, 2019
    Citation: 13