Director, Higher Institute Of Information and communication Technologies Of borj Cedria, Tunisia🏆
Dr. Lazhar Manaï is an Associate Professor at ISTIC Borj Cedria, specializing in power electronics, multilevel inverters, and machine learning applications. He is a key researcher at the Laboratory of Robotics, Computer Science, and Complex Systems (LR-RISC-ENIT) at the University of Tunis El Manar. With a strong academic and professional background, he has made significant contributions to optimization algorithms for multilevel converters and artificial intelligence applications in electrical engineering. Dr. Manaï has held administrative roles at ISTIC, including Director and Director of Studies. His research is widely published in leading journals, and he has supervised numerous PhD and Master’s theses.
Profile
Scopus
Education 🎓
Dr. Lazhar Manaï holds a Habilitation in Electrical Engineering (2020) from the National School of Engineers of Tunis (ENIT), where he focused on floating capacitor balancing in multilevel inverters. He earned his PhD in Electrical Engineering (2008) from ENIT, conducting research on high-power induction machine supply via multilevel converters. His Master’s Degree (D.E.A) in Electrical Systems (2003) and Specialized Higher Studies Certificate in Electrical Engineering were both obtained from ENIT and ENSIT, respectively. He also holds a Bachelor’s Degree in Electrical Engineering (1997) from ENSIT.
Professional Experience 💼
Dr. Manaï has been an Associate Professor at ISTIC Borj Cedria since 2014, following prior positions at ISSAT Mateur, ISSAT Gabes, and ISET Charguia. He also served as an Assistant Technologist at ISET Charguia and a Technical Education Teacher. His administrative roles include serving as the Director of ISTIC Borj Cedria (2020-2024, reappointed for 2024-2027) and Director of Studies and Internships (2016-2020). Additionally, he has contributed to national evaluation committees, university selection panels, and applied license program developments.
Research Interests 🔬
Dr. Manaï’s research focuses on multilevel power electronics converters, capacitor voltage balancing, machine learning in power electronics, and optimization techniques. His work includes high- and low-frequency switching control strategies, active filtering, and intelligent fault diagnosis in electrical systems. He has played a pivotal role in applying deep learning for electric vehicle drive systems and smart energy buildings.
Awards & Achievements 🏅
Dr. Manaï has been recognized for his contributions to power electronics and renewable energy applications. He holds a patent on a Power Generation System Using Kinetic Wave Energy, granted by INNORPI in 2017. His leadership in research has earned him participation in multiple national and European scientific projects, including SMARTBAT-E+ and EL-Peacetolero.
Publications 📚
Advanced health state intelligent diagnosis of lithium-ion batteries based on CNN-WNN-WBiLSTM model with attention mechanism (2025) – Automatika
Optimization-based open-loop selective harmonic elimination pulse width modulation for multilevel inverter flying capacitor voltage balance considering load power factor variation (2023) – Journal of Systems and Control Engineering
Optimization-based selective harmonic elimination for capacitor voltages balancing in multilevel inverters considering load power factor (2020) – Electrical Engineering
Newton‐Raphson algorithm–based modified SHE for CHB multilevel inverter control considering capacitor voltage balancing and power factor variation (2019) – International Transactions on Electrical Energy Systems
Control of a four-level inverter by a programmed matrix PWM based on EPROMS (2009) – International Review of Electrical Engineering
Filtrage actif shunt des réseaux électriques moyenne tension avec des convertisseurs de puissance multi-niveaux (2005) – European Journal of Electrical Engineering
Conclusion
Dr. Lazhar Manaï’s outstanding academic, research, and leadership credentials make him a strong candidate for the Best Researcher Award. His contributions in multilevel power electronics, AI-driven control, and national/international projects demonstrate his significant impact in the field. Strengthening industry collaborations and interdisciplinary research could further elevate his profile.