جست‌وجوی استاد و پژوهشگر

Mehmet BÜYÜKمشاهده پروفایل

دانشیار

• Renewable Energy Systems
• Electric Vehicles
• Power Electronics Converters
• +۳ مورد دیگر

Mehmet BÜYÜK is an Associate Professor at the Department of Electrical and Electronics Engineering, Faculty of Engineering, Adıyaman University. He serves as Vice Dean of the Faculty since August 2023. He holds a PhD from Çukurova University (2019) and has been an IEEE member since 2015. Education: BSc (2007-2012), MSc (2015), PhD (2019) in Electrical and Electronics Engineering from Çukurova University. Professional roles include Research Assistant (2015-2020), Research Lecturer (2020-2022), Assistant Professor (2022-2023), and current Associate Professor status. Research focuses on renewable energy systems, electric vehicles, power electronics converters, and grid integration challenges. Notable projects include wireless power transfer systems, V2G/V2H interfaces, and smart home energy management. Publications emphasize power quality solutions, inverter topologies, and fuel cell applications. Awards include multiple TÜBİTAK incentives and a Wiley Top Cited Article recognition. Active in reviewing for top journals like Renewable and Sustainable Energy Reviews. Current activities include leading the faculty as Vice Dean, supervising student projects, and collaborating on TÜBİTAK-funded research projects addressing renewable energy challenges and emergency power systems.

Satyam Paulمشاهده پروفایل

مدرس ارشد

• Mechanical Engineering
• Control Theory
• Vibration Control
• +۵ مورد دیگر

Satyam Paul is a Senior Lecturer in Mechanical Engineering at Örebro University, Sweden. His academic journey includes roles as Senior Research Fellow at University of Nottingham (2022-2023), Assistant Professor at University of the West of England (2020-2021), and postdoctoral researcher positions at Örebro University (2018-2020) and Tecnológico de Monterrey (2018). He holds a PhD from CINVESTAV-IPN (Mexico), MSc in Mechatronics from VIT University (India), and BEng in Mechanical Engineering from NIT (India). Research Focus: Vibration control, fault detection in mechanical systems, control theory, and mechatronics. Key areas include active vibration control of structures, chatter suppression in milling processes, and fuzzy logic-based control systems. Research Projects: "A general digital twin driving mining innovation" (ongoing) "Production Centred Maintenance (PCM)" "Digital twin for sustainable production as a service" Awards: Full Fellowship Status (FHEA, UK) for teaching excellence in higher education. Grants & Labs: Active in the "Digitalized product and production development" research group. Leads projects combining statistical/logical modeling with industrial applications. Publications: Over 15 peer-reviewed articles in journals like Applied Sciences , IEEE Access , and Journal of Vibration and Control , plus book chapters and conference proceedings on structural control and mechatronics.

• Public Transportation Electrification
• Electric Vehicle Drive Control
• Battery Degradation Modeling
• +۴ مورد دیگر

Dr. Syed M Nawazish Ali is a Research Fellow at RMIT University’s School of Engineering (City Campus, Australia) since July 2022. He has held academic roles at Macquarie University (Casual Academic, 2018–2020) and Aalborg University (Visiting Research Fellow, 2019–2020). His industry experience includes roles at Evenergi Pty Ltd and Magnetica Limited in Australia. Education: B.Sc. in Electrical Engineering, University of Engineering & Technology, Lahore (2013) M.Sc. in Electrical Engineering, COMSATS University, Lahore (2016) Ph.D. in Electrical Engineering, Macquarie University, Sydney (2022) Research Interests: Dr. Ali specializes in data analysis of public transportation electrification, electric vehicle (EV) drive control, battery degradation studies, optimization algorithms for battery health estimation, and grid impact of EV penetration. His work addresses thermal degradation in EV motor drives, fault-tolerant inverter designs, and sustainable integration of renewable energy with transport systems. Article Trends: His recent publications focus on harmonizing EV charging with smart grids, optimizing energy control via Machine Learning and genetic algorithms, and enhancing fault tolerance in power electronics. Key themes include thermal management of motor drives, multi-energy system integration, and decentralized energy trading models. Scientific Awards: Postgraduate Research Fund grant and DVC Research Commendation, Macquarie University (2020) 1st position in oral research presentation at Macquarie University’s Higher Degree Research Conference (2019) International Research Training Program Scholarship (Commonwealth Government-funded) for Ph.D. (2017) Prime Minister’s Laptop Scheme award (2016) Top of FA14-MSEE batch at COMSATS University (2016) KAKEZAI Scholarship at UET Lahore (2011–2013) Supervision & Grants: Available for Masters/PhD supervision in EV control systems. Secured grants including the Commonwealth Government’s International Research Training Program Scholarship and Macquarie University’s Postgraduate Research Fund. Key projects: C4NET Project 66 (Zero Emission Bus Trial) and EV battery degradation control research.

Farzaneh Bagheriمشاهده پروفایل

استادیار

• Power Electronics
• Control Systems
• Power Systems
• +۳ مورد دیگر

Farzaneh Bagheri is an active Assistant Professor in the Department of Electrical and Electronics Engineering at Antalya Bilim University, Turkey, since 2021, following her Research Assistant role at the same institution in 2019. She holds a Ph.D. from Eastern Mediterranean University (2019), M.Sc. from Azarbaijan Shahid Madani University (2010), and B.Sc. from Shahid Beheshti University (2005), all in Electrical and Electronics Engineering. As an IEEE and Industrial Electronics Society (IES) member, she serves as a regular reviewer for IEEE, Elsevier, and MDPI journals. Her educational background demonstrates a consistent focus on power engineering: Ph.D. in Electrical and Electronics Engineering, Eastern Mediterranean University, Cyprus (2019) M.Sc. in Electrical and Electronics Engineering, Azarbaijan Shahid Madani University, Iran (2010) Bachelor's in Electrical and Electronics Engineering, Shahid Beheshti University, Iran (2005) Research interests center on power electronics control systems with emphasis on power inverter control , microgrid stability , renewable energy management , and laboratory validation . Her work bridges theoretical control design with industrial applications, particularly in grid-tied systems for solar and wind energy conversion under unstable conditions. Publication trends (2021–2025) reveal deep specialization in sliding mode control variants applied to photovoltaic inverters, dynamic voltage restorers, and battery chargers. Key themes include chattering reduction, grid distortion resilience, and multi-level converter topologies for renewable integration, with increasing focus on AI-driven fault diagnosis and digital twin modeling in her 2025 output. Scientific awards are not explicitly listed in the source material. She contributes to European and national research/industrial projects in power systems and power electronics, though specific grant details are omitted. No student advising roles are documented, but her faculty position suggests graduate mentorship responsibilities. Laboratory validation work implies hands-on experimental leadership. Her IEEE/IES membership and journal reviewing activities indicate active participation in professional communities. Experimental research is conducted within power electronics laboratories, with recent projects emphasizing solar plant integration and AI maintenance tools.

• Wave Energy Conversion
• Control Systems Engineering
• Mechatronics
• +۱۱ مورد دیگر

Nicolas Ezequiel Faedo is a Fixed-term Researcher at the Department of Mechanical and Aerospace Engineering (DIMEAS) , Politecnico di Torino. He holds the scientific disciplinary sector IIND-02/A - Mechanics applied to machines under Area 0009 (Industrial and information engineering). Teaching: Course instructor for System identification and optimal control of wave energy conversion systems in PhD and Master's programs. Research: Focuses on wave energy conversion, control systems, and hybrid renewable energy systems. Principal investigator for the ECOWAVE project (2025-2028) under PNRR. Advising: Supervises PhD candidates Maria Luisa Celesti and Guglielmo Papini . Collaborates with the Mechatronics and servo systems research group. Publications: His recent work explores wave energy control algorithms, hybrid systems, and AI-based optimization. Trends include surrogate modeling, power absorption, and tidal/wind-wave integration.

Ravikumar Bhimasinguمشاهده پروفایل

استاد

• Computer-aided power system analysis
• Renewable energy integration
• AI applications in power systems
• +۵ مورد دیگر

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

• Autonomous Driving
• V2X Communication
• Robotics
• +۳ مورد دیگر

Dr. Gamal ELGHAZALY is a Research scientist at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), affiliated with the Ubiquitous and Intelligent Systems department. His work focuses on autonomous driving technologies, V2X communication systems, robotics, and control systems. Key research areas include 5G-enabled teleoperated driving, high-definition map construction, and 3D perception for autonomous vehicles. He has developed platforms like RoboCar and contributed to frameworks like FastCycle for modular automated systems. Research interests span robotics kinematics (planar parallel manipulators), adaptive control methodologies (sliding mode control, fuzzy logic), and hybrid systems (cable-driven robots). His publications emphasize real-time motion planning, sensor fusion, and safety-critical systems. Recent works (2023-2025) highlight advancements in 4D perception, cloud-assisted 3D reconstruction, and V2X-enabled collaborative systems. Publications from 2017-2018 reflect early contributions on parallel manipulator modeling and control, while recent efforts focus on integrating cutting-edge technologies like 5G and edge computing into autonomous systems. His work bridges theoretical robotics with practical implementations, addressing challenges in both dynamic environments and industrial applications.

• Power Electronics
• Control Systems
• Renewable Energy Integration
• +۳ مورد دیگر

Prof. Dr. Osman Kukrer is a full-time faculty member at Eastern Mediterranean University (EMU), Faculty of Engineering, Department of Electrical and Electronics Engineering. He has been actively supervising graduate students in power electronics, control systems, and renewable energy integration since the 1990s. His research spans advanced power conversion topologies, including quasi-Z-source inverters multilevel converters active power filters grid-connected systems adaptive beamforming algorithms electric vehicle grid integration Notable contributions include the EMU Publication Citation Award (2017) and extensive supervision of 41 graduate theses, with research interests aligning with modern energy systems and signal processing techniques.

• Mathematical Biology
• Mathematical Immunology
• Cancer Dynamics
• +۶ مورد دیگر

Professor Peter Kim is a Professor of Applied Mathematics in the School of Mathematics and Statistics at the University of Sydney. He is a member of the Applied Mathematics Research Group and the Charles Perkins Centre, focusing on interdisciplinary research that bridges mathematics with biological and medical sciences. His work aligns with the Faculty of Science Research Strengths in Fundamental Laws of Nature, Complex Systems, Precision and Digital Health, Understanding Disease & Disorder in Humans, and Data and Decisions. Professor Kim's research spans mathematical biology with specific interests in mathematical immunology, cancer dynamics, virus dynamics, and human evolution. He applies ordinary, delay, and partial differential equations along with agent-based modeling techniques to address complex biological questions. His mathematical approaches enable deeper understanding of immune system regulation, cancer progression, and evolutionary mechanisms that shaped human life history. Analysis of Professor Kim's recent publications reveals a strong interdisciplinary focus integrating mathematical techniques with biological applications. His work demonstrates sophisticated use of control theory in immunological contexts, modeling of evolutionary dynamics related to human longevity, and innovative approaches to cancer therapy optimization. The research consistently bridges theoretical mathematics with practical medical and biological applications. 2023: Unpacking the immune system with applied mathematics (ARC Discovery Project) 2019: Mathematical modelling unravels the impact of social dynamics on evolution (ARC Future Fellowship) 2018: SOAR Fellowship 2017: Dynamical systems theory and mathematical modelling of viral infections (ARC Discovery Project) 2015: Human longevity: Modelling social changes that propelled its evolution (ARC Discovery Project) Professor Kim has mentored numerous PhD, Masters, and Honours students including Collin Zheng, Adarsh Kumbhari, and Pantea Pooladvand. His international collaborations span Korea (Hanyang University), the United States (City of Hope and Beckman Research Institute, University of Utah), and Australia. He has co-supervised students with clinicians and biologists, fostering truly interdisciplinary research. As part of the Applied Mathematics Research Group, Professor Kim leads projects on targeted radionuclide therapy, evolution of human post-menopausal longevity (Grandmother Hypothesis), evolution of mating strategies, mathematical modeling of immune dynamics, cancer vaccines, and cancer virotherapy. His research group maintains strong connections with medical researchers at St Vincent's Public Hospital and international collaborators in cancer immunology and evolutionary anthropology.

Yawen Wangمشاهده پروفایل

استادیار

• Gear Dynamics
• Structural Vibration and Acoustics
• Active Noise Control
• +۳ مورد دیگر

Dr. Yawen Wang is an Assistant Professor of Research in the Mechanical and Aerospace Engineering Department at The University of Texas at Arlington (UTA). He directs the Vibro-Acoustics and Sound Quality Research Laboratory and leads the Hypoid and Bevel Gear Mesh and Dynamic Modeling Consortium. His academic career includes adjunct roles at the University of Cincinnati and teaching positions since 2017. Dr. Wang holds a PhD in Mechanical Engineering from the University of Cincinnati (2017), an MS from the same institution (2013), and a BS from Chongqing University (2010). Educational Background PhD in Mechanical Engineering, University of Cincinnati, 2017 MS in Mechanical Engineering, University of Cincinnati, 2013 Bachelor of Science in Mechanical Engineering, Chongqing University, 2010 Research Expertise Dr. Wang specializes in precision machine elements (gears, bearings), gear noise/vibration, structural acoustics, active noise control, automotive NVH, and data-driven design. His work integrates computational modeling, experimental techniques, and analytical approaches to solve engineering challenges in powertrain systems and vehicle dynamics. Recent projects include optimizing hypoid gear designs, improving drivetrain prognostics via Vibration Resonance Spectrometry (VRS), and reducing electric vehicle noise through advanced materials and control systems. Professional Contributions He has authored/co-authored over 70 journal/conference papers and collaborates with industry leaders like Ford, GM, Daimler, and Toyota. His awards include the InterNoise Hallberg Foundation Award (2015) and NoiseCon Michiko Finegold Award (2014). Dr. Wang serves on ASME committees and chairs sessions at the International Power Transmission and Gearing Conference. Academic Leadership He advises graduate students, including Chia Ching Lin for a dissertation on axle system dynamics. Teaching responsibilities span mechanical vibrations, structural dynamics, and powertrain design. Dr. Wang also oversees grants from sponsors such as Jian’an Industrial Co., advancing gear mesh modeling and dynamic analysis. Labs & Consortia As director of the Vibro-Acoustics Lab, he focuses on sound quality design, active control systems, and vehicle interior acoustics. The Gear Consortium he leads develops tools like HGSim for gear mesh simulation, with recent updates to version 7.8.3 (2024).

• Control Systems Engineering
• Neural Networks
• Robotics
• +۳ مورد دیگر

Nikolas Sacchi is a Research Fellow at the Department of Industrial and Information Engineering, University of Pavia. His research focuses on advanced control systems, particularly the integration of neural networks with sliding mode control methodologies for nonlinear systems. He specializes in actuator fault diagnosis, adaptive control strategies under unknown dynamics, and robust observer design. Key research areas include control engineering, robotics, and artificial intelligence applications in automation. His work addresses challenges in system reliability, dynamic stabilization, and intelligent control architectures. Recent publications emphasize neural network-based solutions for integral sliding mode control, fault diagnosis mechanisms, and deep learning approaches for systems with uncertain dynamics. His contributions bridge theoretical control frameworks with practical engineering implementations.

• Robotics
• Control Systems
• Nonlinear Control
• +۵ مورد دیگر

Dr. Maarouf Saad is a Lecturer in the Department of Electrical Engineering at École de Technologie Supérieure (ÉTS), Université du Québec. He holds a B.Sc.A. and M.Sc.A. from Polytechnique Montréal and a Ph.D. from McGill University. His research spans robotics, control systems, and sustainable energy applications, with a focus on nonlinear control, UAVs, exoskeleton rehabilitation systems, and smart grid technologies. Education: B.Sc.A., M.Sc.A. (Polytechnique Montréal), Ph.D. (McGill) Research Units: GREPCI (Power Electronics), SYNCHROMEDIA (Telepresence), INIT Robots (Haptic Interfaces) His work integrates adaptive control algorithms with artificial intelligence in robotics, particularly for rehabilitation and aerospace systems. He has pioneered fixed-time sliding mode controllers for quadrotors and developed impedance-based methods for distribution system monitoring. In smart grids, he focuses on voltage stability analysis and distributed generation optimization. Key research trends include nonlinear control of electrohydraulic systems, modeling of flexible manipulators, and cooperative control strategies for multi-agent systems. His publications emphasize practical implementations in real-world scenarios, from autonomous airships to exoskeletons for upper-limb rehabilitation. Dr. Saad supervises numerous graduate students across diverse projects, including UAV control, cable robot rehabilitation systems, and energy management in hybrid microgrids. His collaborations extend to institutions like CAE Inc. and laboratories in telepresence and robotics.

• Aerospace control systems
• Autonomous and assisted vehicles
• Biomedical engineering
• +۸ مورد دیگر

Carlo Novara is a Full Professor at Politecnico di Torino, affiliated with the Department of Electronics and Telecommunications (DET) and the Interdepartmental Center CARS@PoliTO - Center for Automotive Research and Sustainable Mobility. He serves as a member of the College of Computer, Film and Mechatronics Engineering and the College of Mechanical, Aerospace and Automotive Engineering. His research interests span aerospace control systems, autonomous and assisted vehicles, biomedical engineering, design of experiments, energy system control and optimization, model predictive control, modeling and simulation, set membership estimation, statistical analysis, system identification, machine learning, complex networks and systems, prediction and estimation, and quantum optimization. His work focuses on nonlinear and LPV system identification, filtering/estimation, time series prediction, nonlinear control, predictive control, data-driven methods, set membership methods, sparse methods, and nonlinear optimization with applications in automotive, aerospace, biomedical, and energy domains. His recent publications demonstrate strong trends in nonlinear model predictive control, physics-based system identification, and space applications. Many papers focus on computational efficiency for real-time control, with increasing emphasis on quantum optimization techniques and space mission applications like the LISA mission. His work bridges theoretical control methods with practical applications in automotive, aerospace, and energy systems. Professional Recognition: Member of IEEE TC on System Identification and Adaptive Control Member of IFAC TC on Modelling, Identification and Signal Processing Founding member of IEEE-CSS TC on Medical and Healthcare Systems Professor Novara has supervised numerous PhD students including Lucrezia Lovaglio, Giovanni Marinello, Francesco Cerrito, Sabrina Savino, Cesare Donati, and Mattia Boggio. His research has been supported by significant grants including the CNMS - Spoke 2 Sustainable Mobility Center (2022-2025), PRYSTINE ECSEL project (2018-2021), and multiple commercial research contracts with ESA and other aerospace organizations. He leads research in the Automatica research group at DET, focusing on advanced control algorithms for aerospace applications, data-driven control of autonomous vehicles and biomedical systems, quantum optimization for complex system design, and modeling and optimization of networked systems.

• Non-Linear Automation
• Renewable Energies
• Low-Carbon Mobility
• +۲ مورد دیگر

Jean-Pierre Barbot is a Full Professor at Ecole Centrale Nantes , affiliated with the Quartz Team and CODEx Team within LS2N UMR CNRS 6004. His work focuses on Non-Linear Automation with applications to renewable energies and low-carbon mobility. He actively contributes to community initiatives like the GDR MACS and SAGIP . Research Interests Non-Linear Automation Renewable Energy Systems Low-Carbon Mobility Control Theory for Cyber-Physical Systems Publications Trends : His recent work (2024-2025) emphasizes advanced control strategies for renewable energy systems (e.g., PV inverters, wind turbines), fault-tolerant control, and nonlinear differentiators. Key methodologies include flatness-based control, sliding mode techniques, and hybrid discretization approaches. Labs & Teams Quartz Team CODEx Team, LS2N UMR CNRS 6004

Mario Selvaggioمشاهده پروفایل

استادیار

• Shared control/autonomy
• Robot teleoperation
• Passivity-based control
• +۷ مورد دیگر

Mario Selvaggio is an Assistant Professor at the Department of Electrical Engineering and Information Technology, University of Naples Federico II. He actively contributes to robotics research through his involvement with PRISMA Lab and ICAROS , while co-founding spinoff companies BeyondShape and Herobots . His academic background includes a Ph.D. in Information Technology and Electrical Engineering (2020) under Prof. Bruno Siciliano, with previous degrees in Mechanical Engineering (2013, 2015). Ph.D. in Information Technology and Electrical Engineering (2020) Bachelor's and Master's in Mechanical Engineering (2013, 2015) His research interests focus on shared control/autonomy, robot teleoperation, passivity-based control, soft robotics, and robotic surgery. He has developed innovative solutions including: Shared-control teleoperation for soft growing robots Non-prehensile object transportation frameworks Advanced modeling of cable-suspended dual-arm systems Medical robotics with force-sensor equipped tools Virtual reality-based teleoperation architectures Recent publications (2021-2025) span topics from semi-autonomous aerial manipulation to cyber-physical measurement systems, with emphasis on human-robot interaction and industrial applications. He serves as Associate Editor for several IEEE conferences and journals. Scientific Awards IEEE RAS Technical Committee on Haptics grant ($2500, 2018) Second prize at Bioengineering Congress (2018) Finalist for 'Fabrizio Flacco' Best Paper Award (2020) Prof. Selvaggio teaches the Master's Course in Automation Engineering and Robotics (2024/2025) using Robot Operating System (ROS) curriculum. He actively collaborates with international research groups at IRISA/INRIA Rennes , Rainbow team , and University of California Santa Barbara (mechanical engineering department). His research combines theoretical advancements with practical implementations, demonstrated through extensive validation in simulated environments and real robotic platforms including KUKA LWR IIWA manipulators, dVRK systems, and humanoid platforms.