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S. C. Srivastava is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur) and serves as the Director of the IIT Kanpur-La Trobe University Research Academy, highlighting his leadership in international academic collaboration. Dr. Srivastava earned his PhD in Electrical Engineering from IIT Delhi in 1987 and completed his B.Tech from Banaras Hindu University in 1976. His research spans power system dynamics & stability studies, optimal power dispatch and state estimation, security analysis and control, smart grid technologies, and renewable energy integration including DC and AC micro-grids. His publication record shows consistent research output through 2018 with significant contributions to power system state estimation, microgrid protection, and wide area control systems. His work demonstrates a clear progression toward addressing contemporary challenges in power systems, particularly renewable integration and smart grid applications. Malaviya Award for Excellence in Power Systems (2018) Prof GK Dubey Memorial IEEE UP Section Life Time Achievement Award (2016) The Life time Achievement Award for Academic Excellence (2016) Dr. Srivastava serves in influential advisory roles including Chairman of the Expert Committee on Mission Innovation in Smart Grids (DST, New Delhi) and Member of the R&D Advisory Committee of NETRA, NTPC. His leadership in the IIT Kanpur-La Trobe University Research Academy demonstrates ongoing commitment to addressing global energy challenges through international collaboration.

• Power system dynamics & stability studies
• Optimal power dispatch and state estimation
• Security analysis and control
• +5 more

Kishalay Mitra is a Professor at the Indian Institute of Technology Hyderabad , with affiliations to the Department of Chemical Engineering , Department of Climate Change , and Department of Artificial Intelligence . He also holds visiting professorships at Washington University in St. Louis and University of Washington, Seattle . His work in the Global Optimization & Knowledge Unearthing Laboratory (GOKUL) spans interdisciplinary optimization, machine learning, and their applications in industrial-scale engineering problems. Education : Ph.D. from IIT Bombay. Research Interests : Mitra's research focuses on optimization under uncertainty , surrogate modeling , multi-objective optimization , and integrating machine learning with physics-based models . His work addresses real-world challenges in wind energy , bioenergy supply chains , chemical process control , nanoscience , and environmental modeling (e.g., PM10 spatiotemporal analysis, forest fire prediction, and carbon capture). Article Trends : His recent publications emphasize wind energy systems (layout optimization, yaw control, forecasting), materials science (precipitate growth prediction, polymerization), and industrial processes (crystallization, grinding circuits). Techniques include neural operators , Bayesian optimization , generative adversarial networks (GANs) , and explainable AI .

• Optimal Control Under Uncertainty
• Bioenergy Supply Chain Design
• Surrogate Multi-Objective Optimization
• +13 more

Dr. Prabodh Bajpai is a Professor in the Department of Sustainable Energy Engineering at the Indian Institute of Technology Kanpur. Previously, he served as an Associate Professor at the same department from July 2022 to December 2022, and before that at the Electrical Engineering Department of IIT Kharagpur from July 2014 to June 2022. He began his academic career as an Assistant Professor at IIT Kharagpur from June 2008 to July 2014. His educational background includes a Ph.D. in Electrical Engineering (Power Systems) from IIT Kanpur (2008), M.Tech in Energy Studies from IIT Delhi (2001), and B.E. in Electrical Engineering from IIT Roorkee (1997). Dr. Bajpai's research spans renewable energy integration, power system operation and control, microgrid technologies, and smart grid applications. His work focuses on practical implementation of sustainable energy solutions with emphasis on power electronics, energy storage, and grid stability. He has made significant contributions to the fields of distributed generation integration, protection schemes for renewable-rich systems, and energy management in microgrids. His recent publications show a strong focus on DC microgrids, multi-port power converters, and advanced control strategies for renewable integration. The research demonstrates increasing sophistication in power electronics applications for sustainable energy systems, with particular emphasis on practical implementations for commercial and agricultural applications. Dr. Bajpai actively mentors graduate students, currently supervising seven students across PhD and M.Tech programs. His teaching portfolio includes core courses in electrical power engineering, renewables-integrated smart power systems, and energy systems modeling and analysis at IIT Kanpur, building on his extensive teaching experience at IIT Kharagpur where he developed several new courses in renewable energy systems. His research group maintains a Hybrid AC/DC Microgrid test facility and has developed a Renewable Hybrid Energy Power Plant for stand-alone applications, demonstrating his commitment to translating theoretical research into practical implementations.

• Renewable Energy Systems
• Power System Restructuring
• Restructured Electricity Market
• +7 more

Alok Ranjan Verma is an Assistant Professor in the Department of Electrical Engineering at Indian Institute of Technology Kanpur. His research focuses on high voltage engineering with specialization in dielectric materials and electrical insulation systems. His primary research interests include High Voltage Engineering, Dielectrics and Electrical Insulation, Computational Electrostatics, Polymeric Insulation for High Voltage Applications, and Over-voltages in Power Systems. His work addresses critical challenges in electrical insulation performance under various environmental and electrical stress conditions. Dr. Verma's publication record shows consistent research output in high-impact journals, particularly IEEE Transactions on Dielectrics and Electrical Insulation. His research trends indicate a strong focus on polymeric insulators, aging studies under multiple stress conditions, surface degradation mechanisms, and novel techniques for improving insulation performance in high voltage systems. His work bridges theoretical understanding with practical applications in power transmission systems. POSOCO Power System Award for Best M. Tech Thesis given jointly by IIT-Delhi and Power grid corporation of India Dr. Verma completed his PhD at IISc Bangalore in 2018 under the supervision of Dr. Subba Reddy B. Prior to joining IIT Kanpur as faculty, he served as a Research Associate at the High Voltage Laboratory, Department of Electrical Engineering, Indian Institute of Science, Bangalore from October 2018 to June 2019. His laboratory work focuses on high voltage testing, dielectric characterization, and aging studies of insulating materials under controlled environmental conditions. His research group likely investigates material degradation mechanisms and develops improved insulation solutions for power transmission infrastructure.

• High Voltage Engineering
• Dielectrics and Electrical Insulation
• Computational Electrostatics
• +2 more

Dr. V. Seshadri Sravan Kumar is an Associate Professor in the Department of Electrical Engineering at the Indian Institute of Technology Hyderabad. His research spans Power Engineering and Applied Mathematics, with a focus on Time and Frequency Domain Modeling, Electromagnetic Transients, Phasor and Frequency Estimation, and Machine Learning applications in power systems. Ph.D. and M.Sc.(Engg.) from IISc Bangalore Current research trends include Battery-Ultracapacitor Integration, Electric Vehicle Power Systems, and Non-ideal Component Modeling His group has contributed to 15 recent publications in journals like IEEE Transactions on Vehicular Technology, Renewable Energy (Elsevier), and conferences including IEEE PES General Meeting and PEDES. Key awards include the 2021 IIT Hyderabad Teaching Excellence Award and 2016 POSOCO Power System Award. Students mentored include Ph.D. candidates Sai Vinay Kishore N and alumni such as Anirudh C V S and Naresh Palla. He teaches graduate-level courses like Matrix Theory, Electrical Machine Analysis, and Modeling of Electromagnetic Transients.

• Power Engineering
• Applied Mathematics
• Time and Frequency Domain Modeling
• +8 more

Nishchal K. Verma is a Professor at the Department of Electrical Engineering, Indian Institute of Technology Kanpur. He holds a PhD from IIT Delhi (2007), an M.Tech from IIT Roorkee (2003), and a B.Tech from DEI Agra (1996). His postdoctoral research includes work at the University of Tennessee (2009) and Louisiana Tech University (2008). Specialization: Fuzzy Logic, Health Monitoring, Intelligent Informatics Current Research Interests: Intelligent Data Mining, Computer Vision, Smart Grids, Biomedical Applications His research focuses on Fuzzy Systems , Machine Learning , and Health Monitoring with applications to power systems, biomedical data, and wireless sensor networks. He has developed technologies like the Transducers and Instrumentation Virtual Laboratory and Brain Computer Interface Laboratory , emphasizing predictive modeling and fault diagnosis. Key sponsored projects include DST-funded Fuzzy Rule-Based Image Prediction and DRDO-supported Visual Surveillance Systems . His work spans 15+ years of interdisciplinary publications in journals and conferences. Scientific Awards : Devendra Shukla Young Faculty Research Fellowship (2013-16) He has served as Associate Editor for journals and Chairman of IEEE chapters, with leadership roles in academic administration at IIT Kanpur.

• Fuzzy Logic
• Soft-Computing
• Health Monitoring
• +9 more

Dipak Kumar Giri is an Assistant Professor in the Department of Aerospace Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur). He received his PhD from IIT Kharagpur and has established himself as a specialist in aerospace control systems with a focus on satellite attitude dynamics and control. Dr. Giri's educational background includes a doctoral degree from IIT Kharagpur, one of India's premier technical institutions. His academic journey reflects a strong foundation in aerospace engineering principles and control theory, which has enabled his transition from research engineer to faculty position at IIT Kanpur. His research program centers on linear and nonlinear control systems for aerospace applications, with particular expertise in satellite attitude control using innovative actuation methods. Dr. Giri has pioneered work in magneto-Coulombic satellite attitude control systems, developing fault-tolerant control strategies and advanced sliding mode techniques. His research bridges theoretical control methodologies with practical aerospace applications, addressing critical challenges in spacecraft orientation and stabilization. The consistent publication of his work in top-tier journals demonstrates his scholarly contributions to the field of aerospace control systems. Analysis of Dr. Giri's publications reveals a sustained research focus on satellite attitude control through magneto-Coulombic systems, Lorentz forces, and magnetic actuation. His work spans theoretical developments in control theory to practical implementations for Earth-pointing satellites. The progression of his research from basic magneto-Coulombic control (2014) to fault-tolerant systems (2015-2019) and applications to aircraft control (2020) shows an expanding research scope while maintaining core expertise in control systems. Dr. Giri has held prestigious positions including DST INSPIRE Faculty at IIT Kanpur (2018-2020), Postdoctoral Research Associate at Singapore-MIT Alliance for Research and Technology (2017-2018), and Postdoctoral Fellow at Ulsan National Institute of Science and Technology in South Korea (2016-2017). These international research experiences have enriched his academic perspective and contributed to collaborative research efforts across borders. His laboratory work focuses on spacecraft dynamics and control systems, with particular attention to innovative actuation methods for satellite orientation. The research environment likely supports both theoretical modeling and simulation studies of spacecraft control systems, with potential applications to real-world satellite missions and aerospace technology development.

• Linear Control Systems
• Nonlinear Control Systems
• Aerospace Systems
• +5 more

Sri Niwas Singh serves as Chair Professor in the Department of Electrical Engineering at the Indian Institute of Technology, Kanpur, where he has established himself as a leading expert in power systems engineering with significant research contributions spanning multiple critical areas. His educational qualifications include: PhD in Electrical Engineering from IIT Kanpur (1995) M.Tech in Electrical Engineering from IIT Kanpur (1989) B.Tech in Electrical Engineering from KNIT Sultanpur (1987) Professor Singh's research program focuses on Power System Restructuring, FACTS Technology, Optimal Power Dispatch and Security Analysis, Power System Dynamics, Operation and Control, Distribution System Planning and Demand Side Management, and Application of Genetic Algorithms and Artificial Neural Networks in Power Systems. His work bridges theoretical concepts with practical applications, particularly in smart grid technologies and renewable energy integration. His publication record reveals a consistent research trajectory addressing evolving power system challenges, with increasing emphasis on renewable energy integration and computational intelligence techniques. The progression from traditional power system analysis toward smart grid technologies and AI applications demonstrates his ability to adapt research focus to emerging industry needs. His significant professional recognitions include: 2013 IEEE Educational Activities Board Meritorious Achievement Award in Continuing Education Three PhD theses supervised by him receiving the POSOCO Power System Award (2012) Humboldt Research Fellowship (awarded 2005 and 2007) INAE Young Engineer Award (2000) C.B.I.P. Young Engineer Award (1996) Professor Singh has mentored numerous graduate students, with three of his PhD students receiving the prestigious POSOCO Power System Award in 2012. His research has attracted substantial funding and collaboration opportunities, supporting advanced work in power systems analysis and control. His laboratory focuses on power system simulation, renewable energy integration studies, and smart grid technology development, with a research team comprising PhD scholars and industry collaborators working on cutting-edge power engineering problems.

• Power Systems
• Power System Restructuring
• FACTS Technology
• +8 more

Gurunath Gurrala serves as an Associate Professor in the Department of Electrical Engineering at the Indian Institute of Science (IISc), Bangalore. His research focuses on power systems dynamics, high-performance computing applications, and renewable energy integration. He maintains active collaborations with international institutions including Oak Ridge National Lab and Texas A&M University. His research interests center on Power Systems Analysis and Control , with specialization in High Performance Computing Applications, Nonlinear and Intelligent Control, Weak Grid Integration of Renewables, Microgrid Protection, and Smart Grid Stability. His work bridges theoretical control systems with practical power grid challenges, particularly for renewable-rich grids. His recent publications demonstrate a strong interdisciplinary trend, spanning power systems (35%), control theory (25%), renewable integration (20%), and emerging applications in biomedical engineering and environmental systems (20%). Key recurring themes include grid stability under high renewable penetration, advanced protection schemes for microgrids, and computational methods for power system analysis. IEEE Power and Energy Society (PES) Outstanding Engineer Award 2018 Young Engineer Award 2015, Indian National Academy Engineers Best Conference Paper, IEEE PES General Meeting 2015 Best Ph.D Thesis Award (Prof.D.J.Badkas Medal) 2010 Elevated to Senior Member IEEE (2016) Professor Gurrala has secured competitive research funding including the Young Scientist Grant from DST (2015) and International Travel Support from SERB (2017). He actively mentors students through PhD and Master's programs while teaching advanced courses including Power System Dynamics and Control (E4 231), Computer Control of Power Systems (E4 233), and Selected Topics in Integrated Power Systems (E4 237). His research group collaborates with power utilities and international research labs on grid modernization challenges.

• Power Systems Analysis and Control
• High Performance Computing Applications
• Nonlinear and Intelligent Control
• +4 more

Ravikumar Bhimasingu is a Professor at the Indian Institute of Technology Hyderabad , Department of Electrical Engineering. His work focuses on advanced power system analysis and control strategies for renewable energy integration. Research Interests : Computer-aided power system analysis, AI applications for power systems, microgrid control, power electronics, renewable energy integration Lab : Leads research activities in power systems and renewable energy Scientific Contributions : With over 72 publications, his recent work explores: Grid-forming inverters and predictive control techniques Fault location algorithms using synchrophasor data Virtual inertia and transient stability improvements Advanced EV charging systems with power quality enhancements

• Computer-aided power system analysis
• Renewable energy integration
• AI applications in power systems
• +5 more

K Siva Kumar is a Professor in the Department of Electrical Engineering at Indian Institute of Technology Hyderabad . His research focuses on multi-level inverters , induction motor drives , and micro-grid systems , with applications in renewable energy and electric vehicles . He holds a Ph.D. in Electrical Engineering from IISc Bengaluru (2010), an M.Tech in Power Electronics from NIT Warangal (2006), and a B.Tech in Electrical and Electronics Engineering from Sri Venkateswara University (2004). He joined IIT Hyderabad in 2011, progressing from Assistant Professor to Professor in 2022. His research interests span power quality and control , Pole Phase Modulation (PPM) , and Open-end winding induction motor drives . His publications (over 20 in 2021-2025) focus on photovoltaic systems , electric vehicle propulsion , and advanced inverter topologies . Scientific recognitions include: Fellow Indian National Academy of Engineers (FNAE) - 2024 Teaching Excellence Award (2021-22), IIT Hyderabad IETE-BIMAL BOSE AWARD - 2018 Senior Member IEEE Best Paper Awards at IEEE ICIAfS (2014), ANSYS Convergence Conference (2014), and IEEE ISIE-2009. He has supervised 15 Ph.D. and M.Tech students , including current scholars Tukaram Alias and Saurabh P Dhavjekar , and alumni like Kiran Kumar N and Madhukar Rao A . His teaching portfolio includes undergraduate courses in Power Electronics and Electromechanical Energy Conversion , and postgraduate courses in Electrical Drives and Multilevel Converters .

• Multi-level Inverters
• Induction Motor Drives
• Micro-grids
• +3 more

Ketan P. Detroja is an Associate Professor in the Department of Electrical Engineering at Indian Institute of Technology Hyderabad . With a Ph.D. from IIT Bombay (2006) and a specialization in Multivariable Control, Distributed State Estimation, and AI/ML for Control Applications , his research focuses on ensuring fault-tolerant and economical operation of microgrids , developing distributed Kalman filtering techniques , and applying machine learning to process monitoring and control . Education: B.E., D. D. Institute of Technology, Gujarat, India Ph.D., IIT Bombay, 2006 Research Interests span Advanced Process Control, Fault Detection and Diagnosis, Cooperative Control, Microgrid Optimization and Control , and Hardware-Software Design for Control Systems . His work addresses challenges in data-driven process monitoring , distributed state estimation , and machine learning-based controller design , particularly for large-scale systems. Scientific Contributions include innovative approaches to inverse-free Kalman filters , reinforcement learning-based PI controllers , and data reduction algorithms for fault diagnosis. His publications reflect a focus on control theory, optimization, and machine learning integration , with applications in power systems, wind energy, and fault diagnostics . Scientific Awards: Best Paper Award at ADCONIP - 2011 Best Paper Award at DYCOPS-2013 Advising has been a significant part of his career, with supervision of Ph.D. students working on topics like fault detection in induction motors , microgrid scheduling , and adaptive control using fuzzy logic . His M.Tech students have explored areas such as visual object tracking, battery SOC estimation, and wind farm control , many of whom are now in prominent roles across academia and industry.

• Control Theory
• State Estimation
• Fault Diagnosis
• +9 more

Dr. Preethi Srivathsa is an Assistant Professor - Senior Scale in the School of Computer Engineering at Manipal Academy of Higher Education (MAHE), Bengaluru. She holds a B.Tech, M.Tech, and Ph.D. (awarded by Presidency University in 2022). Her academic career includes positions at Presidency University (2019-2023) and East Point College of Engineering (2008-2019). Her research focuses on: Computer architecture and low-power hardware design IoT applications and cyber-physical systems Cryptography and blockchain security Machine learning implementations in hardware FPGA-based accelerators and optimization techniques Her publication portfolio shows strong emphasis on hardware-efficient algorithms, cryptographic systems (especially elliptic curve applications in blockchain), and emerging IoT architectures. Recent work integrates machine learning with hardware acceleration for smart home systems and agricultural technology. Awards and recognitions: Best Paper Award at IEEE iSES-2021 for low-power sorter design Infosys Bronze Partner Faculty (2013) She has developed intellectual property including IoT-based monitoring systems and blockchain educational frameworks. Technical skills include Verilog, FPGA design, IoT platforms (Arduino/Raspberry Pi), and multiple programming languages.

• Computer Architecture
• Internet of Things
• Cyber Security
• +4 more

Adrish Banerjee is a Next Generation Broadcasting Chair Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur). Since 2004, he has held academic roles ranging from Assistant Professor to full Professor, with visiting appointments at institutions including the Asian Institute of Technology, Politecnico di Torino, and Chung-Ang University. Education: PhD in Electrical Engineering (2003), University of Notre Dame, USA M.S. in Electrical Engineering (1998), University of Notre Dame, USA B.Tech (Hons.) in Electronics & Electrical Communications Engineering (1996), IIT Kharagpur, India Research Interests: Adrish Banerjee’s research lies at the intersection of wireless communications , signal processing , and green communication systems . His work spans cognitive radio networks , energy harvesting , error control coding , and visible light communications . He has also contributed to emerging areas such as molecular communications , aiming to bridge theoretical advances with practical system design for next-generation wireless systems. Research Trends: His recent publications emphasize energy-efficient communication , secure transmission in untrusted relay networks, and resource optimization in cooperative cognitive radio systems. These works are foundational to the development of 5G and beyond technologies, integrating sustainability and spectrum efficiency. Awards & Honors: Next Generation Broadcasting Faculty Chair (2019–2022) IETE Prof. K Sreenivasan Memorial Award (2016) P. K. Kelkar Research Fellowship (2013–2016) Young Engineer Award, IEI India (2009) Microsoft Research India Outstanding Young Faculty Award (2009) Erasmus-Mundus MERIT Visiting Professor Scholarship (2008) Grants & Projects: He has led or co-led numerous sponsored projects, including: Indigenous 5G Test Bed design (Ministry of Communications, ₹425.49 lakhs) Green Communications for 5G (Qualcomm USA, $5000) Cooperative Spectrum Sensing for Military Radio (₹9.8 lakhs) Indo-UK Advanced Technologies Centre collaboration on heterogeneous wireless access networks (₹57.69 lakhs) Research Group & Labs: He leads a research group based in ACES-305 at IIT Kanpur, focusing on advanced communication systems. His lab is equipped for research in wireless systems, signal processing, and energy-efficient communications.

• Green communications
• Wireless communications
• Error control coding
• +3 more

Rushikesh K. Joshi is a Professor in the Department of Computer Science & Engineering at the Indian Institute of Technology Bombay. His research focuses on computational models for programs, their structures and dynamics, including processes, interactions, concurrency, and distributed systems. He has taught advanced courses like CS 770 (Process Engineering), CS 787 (Language Engineering), and CS 757 (Design and Re-engineering). Research Interests: He specializes in software engineering, distributed systems, program analysis, and code refactoring. His work includes modular process modeling, trace language mining, and consistency models for business processes. He also explores objectification of procedural code through projects like Ox and AccessViz. Notable Projects: Anonymous Remote Computing (ARC), Filter Objects, Constore Graph Database, and Ox (objectification of Linux kernel structures). Funding sources include IBM, Microsoft, Infosys, and the Ministry of Information Technology. Scientific Contributions: His research has led to publications in IEEE Transactions, LNCS, and other venues. He has advised over 100 theses, including Ph.D. students Karnika Shivhare, Omkarendra Tiwari, and Vrinda Yadav.

• Software Engineering
• Distributed Systems
• Program Analysis
• +5 more