Rahul Somalwar | Electrical | Editorial Board Member

Published on by Global Scholar Awards

Dr. Rahul Somalwar | Electrical | Editorial Board Member

Researcher | Bajaj Institute of Technology | India

Dr. Rahul Somalwar is a distinguished researcher specializing in Microgrid systems, Islanding detection, and advanced power electronics, widely recognized for his contributions to distributed generation and resilient smart-grid operations. His research focuses on developing robust methodologies for transformer fault diagnosis, enhancing microgrid stability, and designing intelligent active and passive islanding detection systems, while his emerging interests include renewable-energy optimization, harmonic-based detection frameworks, and frequency-estimation algorithms to strengthen next-generation smart-grid reliability. Over the course of his professional journey, he has served in key academic and research roles contributing to microgrid modeling, grid-connected system analysis, and performance evaluation of power-electronic converters. Dr. Somalwar has produced influential research, including seminal works such as “Incipient Fault Diagnosis of Transformer by DGA Using Fuzzy Logic”, pioneering advancements in interleaved DC–DC converter control techniques, and innovative studies on FACTS-based transient-stability enhancement, each of which has shaped contemporary practices in power-system engineering. His notable contributions also include developing advanced active islanding methods using recursive least squares, designing enhanced passive detection methods leveraging harmonic distortion analysis, and conducting comparative investigations of multi-DG microgrid performance to improve fault detection accuracy, voltage control, and real-time synchronization. His work extends to the integration of photovoltaic systems, dynamic voltage restoration, and power-quality enhancement through ripple-based techniques, driving meaningful technical improvements across utility-connected and stand-alone renewable systems. Dr. Somalwar’s body of research, comprising multiple high-impact publications, conference papers, and applied engineering studies, continues to influence ongoing developments in grid modernization, distributed-energy security, and sustainable power-generation systems. His impact vision centers on advancing safe, self-healing, and highly efficient microgrids by empowering renewable-energy networks with adaptive control strategies and intelligent fault-diagnosis mechanisms, thereby strengthening the resilience of electrical infrastructure for both industry and society. Through his continued work, he aims to bridge innovation with practical implementation, promoting global progress in smart-grid stability, energy security, and scalable clean-energy technologies.

Profile: Google Scholar

Featured Publications

1. Apte, S., Somalwar, R., & Wajirabadkar, A. (2018). Incipient fault diagnosis of transformer by DGA using fuzzy logic. 2018 IEEE International Conference on Power Electronics, Drives and Energy Systems.

2. Nikhar, A. R., Apte, S. M., & Somalwar, R. (2016). Review of various control techniques for DC-DC interleaved boost converters. International Conference on Global Trends in Signal Processing, Information Computing and Communication.

3. Somalwar, R., & Khemariya, M. (2012). A review of enhancement of transient stability by FACTS devices. International Journal of Emerging Technologies in Sciences and Engineering, 5.

4. Somalwar, R., Kadwane, S. G., & Mohanta, D. K. (2017). Harmonics-based enhanced passive islanding method for grid-connected system. Electric Power Components and Systems, 45(14), 1554–1563.

5. Somalwar, R. S., Kadwane, S. G., & Shaw, R. N. (2020). Frequency estimation by recursive least square in active islanding method for microgrid. 2020 IEEE International Conference on Computing, Power and Communication Technologies.

Farouk Zouari | Electrical Engineering | Editorial Board Member

Published on by Global Scholar Awards

Assist. Prof. Dr. Farouk Zouari | Electrical Engineering | Editorial Board Member 

Researcher | University of Tunis El Manar | Tunisia

Dr. Farouk Zouari is a distinguished researcher specializing in Electrical Engineering, Artificial Intelligence, Adaptive Control, and Computer Engineering, recognized for his pioneering contributions to intelligent control of nonlinear, fractional-order, and chaotic systems. His research primarily focuses on advanced neural and fuzzy control, time-delay system modeling, nonlinear system stabilization, and innovative output-feedback strategies, while his emerging interests explore AI-driven decision algorithms, intelligent medical control systems, and adaptive synchronization of complex dynamic systems. Dr. Zouari has served in key academic and research roles, collaborating extensively with multidisciplinary teams to develop next-generation control architectures, neural approximators, observer-based feedback systems, and high-precision adaptive controllers that strengthen both theoretical frameworks and real-world engineering applications. His contributions include novel designs for neural network controllers, intelligent fuzzy synchronization mechanisms, adaptive quantized control schemes, and robust backstepping approaches that address actuator nonlinearities, pseudo-state constraints, and fractional-order uncertainties. He has also advanced event-triggered control, intelligent drug-dosage dynamic modeling, and optimal control of electromechanical systems, providing impactful innovations with industrial, biomedical, and automation-related applications. Dr. Zouari’s growing body of research has resulted in high-impact publications that are widely cited for their methodological rigor and technical depth, contributing significantly to advancing nonlinear system control, computational intelligence, and real-time dynamic system optimization. His work has supported new engineering solutions, informed emerging policies on intelligent automation, and inspired further exploration into hybrid AI-control paradigms for next-generation autonomous systems. Driven by a deep commitment to scientific progress, his vision centers on integrating adaptive intelligence into complex engineering infrastructures to enhance efficiency, safety, and resilience across industries. He aims to bridge theoretical advancements with scalable real-world innovations, strengthening global research in intelligent control and enabling transformative technologies that benefit society through smarter automation, precision medical systems, and sustainable intelligent engineering solutions.

Profiles: Google Scholar | ORCID | Scopus | Linkedin | ResearchGate 

Featured Publications

1. Zouari, F., Ibeas, A., Boulkroune, A., Cao, J., & Arefi, M. M. (2018). Adaptive neural output-feedback control for nonstrict-feedback time-delay fractional-order systems with output constraints and actuator nonlinearities. Neural Networks, 105, 256–276.

2. Boubellouta, A., Zouari, F., & Boulkroune, A. (2019). Intelligent fuzzy controller for chaos synchronization of uncertain fractional-order chaotic systems with input nonlinearities. International Journal of General Systems, 48(3), 211–234.

3. Zouari, F., Ibeas, A., Boulkroune, A., Cao, J., & Arefi, M. M. (2021). Neural network controller design for fractional-order systems with input nonlinearities and asymmetric time-varying pseudo-state constraints. Chaos, Solitons & Fractals, 144, 110742.

4. Zouari, F., Boulkroune, A., & Ibeas, A. (2017). Neural adaptive quantized output-feedback control-based synchronization of uncertain time-delay incommensurate fractional-order chaotic systems with input nonlinearities. Neurocomputing, 237, 200–225.

5. Zouari, F., Ibeas, A., Boulkroune, A., Cao, J., & Arefi, M. M. (2019). Neuro-adaptive tracking control of non-integer order systems with input nonlinearities and time-varying output constraints. Information Sciences, 485, 170–199.