جست‌وجوی استاد و پژوهشگر

• Model Predictive Control
• Power Electronics
• Renewable Energy Integration
• +۵ مورد دیگر

Ricardo Aguilera Echeverria is an Associate Professor at the University of Technology Sydney (UTS), School of Electrical and Data Engineering . With a Ph.D. in Electrical Engineering from the University of Newcastle (2012), he has held academic positions at UNSW Australia (2014-2016) and UTS since 2016. His research focuses on model predictive control (MPC) applied to power electronics , renewable energy integration , and microgrid control systems . He actively supervises Masters and PhD students and has developed courses such as Control Studio A and Control Studio B . Education: PhD in Electrical Engineering (University of Newcastle, 2012) MSc in Electronics Engineering (Universidad Tecnica Federico Santa Maria, 2007) BSc in Electrical Engineering (Universidad de Antofagasta, 2003) Research Interests: Model Predictive Control (MPC) for power converters Microgrid stability and cybersecurity Second-life battery integration Hybrid DC-AC microgrid solutions Recent Research Trends: Advancements in modular multilevel matrix converters (M3C) for LFAC systems Development of per-phase instantaneous power theories for LVRT compensation Sliding mode observers (SMO) for cyberattack mitigation in AC microgrids Optimal control strategies for delta-connected CHB converters in energy storage Grants & Projects: Lead investigator in HORIZON Europe (2024-2027) on digital solutions for renewable energy systems ARC Discovery Project (DP240102646) on extending second-life battery life (2024-2026) Collaborative grants with Sovereign Propulsion Systems Pty Ltd and NSW Department of Industry for hybrid-electric vehicle control

John D Cresslerمشاهده پروفایل

استاد

• Silicon-Germanium Microelectronics
• RF/Microwave Circuits
• Semiconductor Devices
• +۳ مورد دیگر

John D. Cressler is a Regents Professor and Schlumberger Chair in Electronics at the Georgia Institute of Technology's School of Electrical and Computer Engineering. He earned his B.S. in Physics from Georgia Tech (1984) and Ph.D. in Applied Physics from Columbia University (1990). After pioneering SiGe research at IBM (1984-1992), he joined academia at Auburn University before moving to Georgia Tech in 2002. His research specializes in silicon-germanium heterojunction technology, with focuses on: RF/microwave/mm-wave circuits Radiation effects in electronics Cryogenic semiconductor behavior Device reliability physics Compact modeling for SiGe devices His 700+ publications demonstrate consistent innovation in SiGe HBT design, radiation-hardened circuits, and millimeter-wave systems. Recent work emphasizes radiation tolerance for space applications, high-frequency circuit optimization, and novel fabrication techniques. Major Awards: IEEE Fellow (2001) IEEE Leon K. Kirchmayer Graduate Teaching Award (2011) ONR Young Investigator Award (1994) IEEE Third Millennium Medal (2000) He leads Georgia Tech's SiGe research group with extensive industry collaborations and teaches courses including ECE 3040 (Microelectronic Circuits), ECE 6444 (SiGe Devices), and interdisciplinary courses on science/religion dialogue.

Geraint Jewellمشاهده پروفایل

استاد

• Electrical Machines
• Electromagnetic Modeling
• Aerospace Applications
• +۱۰ مورد دیگر

Professor Geraint Jewell is affiliated with the University of Sheffield , serving as Director of the Rolls-Royce University Technology Centre in Advanced Electrical Machines (since 2006) and Director of the EPSRC Future Electrical Machines Manufacturing Hub (since 2019). He is a graduate of the university (BEng 1988, PhD 1992) and has held academic roles since 1994. EPSRC Advanced Research Fellowship (2000-2005) Royal Society Industry Fellowship at Rolls-Royce (2006-2008) Former Faculty Director of Research and Innovation (2008-2011) Former Head of Department (2013-2019) His research focuses on power-dense electrical machines for aerospace applications , including permanent magnet machines , switched reluctance machines , and linear actuators . He has supervised ~20 PhD students and led collaborations with Rolls-Royce on high-temperature devices (up to 800°C) and aero-engine starter-generators. Recent publications analyze stator insulation thermal degradation , eddy current control in additively manufactured materials , and magnetic loss prediction in silicon steel. His work spans electromagnetic modeling , core loss calculation , and advanced manufacturing techniques for electrical machines. EPSRC Advanced Research Fellowship (2000-2005) Royal Society Industry Fellowship (2006-2008) He has advised PhD students across topics like consequent-pole PM machines , doubly salient SynRMs , and core loss characterization . His Electrical Machines and Drives Research Group explores modular motor design and magnetic material optimization for aerospace and electric vehicles.

• Electrical Engineering
• Mechanical Engineering
• Power Systems
• +۴ مورد دیگر

R. Ross is a Professor in the Department of Mechanical Engineering at HAN University of Applied Sciences, with active research contributions in power systems, sensor technology, and the energy transition. His work spans applied superconductivity, system reliability, and electromagnetic diagnostics. External positions: Strategist at TenneT TSO B.V. (since 2013) and Director at Stichting Instituut voor Wetenschap en Ontwikkeling (since 1994). Research interests focus on high-temperature superconductors, partial discharge detection, and uninterrupted functionality of electrical systems. Key subfields include cryogenic converters, magnetoresistive sensors, and social impacts of energy transitions. Recent publications highlight advancements in GMR sensor design, HTS degaussing applications, and reliability methodologies for K-out-of-N systems. Trends emphasize interdisciplinary approaches to power infrastructure diagnostics and sustainable energy integration. Scientific award: 2004 Annual Award SenterNovem Energy & Environment.

Jaswinder Lotaمشاهده پروفایل

پژوهشگر

• Signal Processing
• Circuits and Systems
• Wireless Communication
• +۷ مورد دیگر

Dr. Jaswinder Lota is a Reader in Engineering at the University of East London , School of Architecture, Computing and Engineering, Department of Engineering & Construction. He is also a Visiting Academic at University College London’s Department of Electronic and Electrical Engineering, and a Chartered Engineer with extensive industry and academic experience. Education: BSc BEng MEng PGCert HE PhD Research Interests: Dr. Lota specializes in signal processing, circuits and systems, wireless communication, and their applications in radar systems (weather/military), low-power sustainable networks beyond 5G/6G (robotics, automation, healthcare), and electronic technologies for hydrogen propulsion. His work integrates AI-driven channel modeling and impulsive noise analysis. Scientific Awards: IEEE CAS Society Certificate of Appreciation (2019) Grants and Collaborations: He has secured significant funding, including a £2.5K International Research Collaboration Award (2016), £2.5K Research Internship Award (2015), £76K Impact Grant (2014), and a £7M MoD-funded project (1999-2004). Collaborators include UCL and NYU. Leadership: Dr. Lota leads the Smart Cities Research group at UEL and contributed to the REF 2021 submission. He has served as Associate Editor for IEEE TCAS I and Guest Editor for multiple IEEE journals.

• Power Systems
• Microgrids
• Inverter Control
• +۳ مورد دیگر

Xiaonan Lu is an Associate Professor of Electrical Engineering Technology at Purdue University's School of Engineering Technology, with a courtesy appointment in the Elmore Family School of Electrical and Computer Engineering. His research focuses on critical challenges in modern power systems dominated by inverter-based resources, particularly stability and control in microgrids and renewable-integrated grids. His research interests span power systems engineering with emphasis on small-signal stability analysis, dynamic modeling of hybrid AC/DC microgrids, and advanced control strategies for grid-forming and grid-following inverters. He investigates AI-assisted modeling techniques, resilience enhancement through hydrogen integration, and data-driven optimization of microgrid operations to address challenges in low-inertia power systems and distributed energy resource coordination. Analysis of his recent publications (2024-2025) reveals dominant trends toward AI-aided stability assessment, seamless control transitions between inverter modes, and quantifiable trade-offs in voltage regulation and power sharing. His work consistently addresses practical implementation challenges including communication delays, cyber resilience, and standardized testing methodologies for inverter-dominated systems.

• Wireless Sensor Networks
• Internet of Things (IoT)
• Network Security
• +۷ مورد دیگر

Professor Mohammed Salamah is a distinguished faculty member in the Computer Engineering Department at Eastern Mediterranean University's Faculty of Engineering. He maintains an office in room 114 and can be contacted at +90 392 630 1149/1334 or via email at muhammed.salamah@emu.edu.tr. His academic website provides additional resources for students and colleagues. Dr. Salamah earned his BS, MS, and PhD degrees in Electrical and Electronics Engineering from Middle East Technical University in 1988, 1990, and 1996 respectively, establishing a strong foundation for his career in network communications and wireless systems. His research interests span multiple critical areas in modern networking, with particular expertise in Wireless Sensor Networks, Internet of Things (IoT) security, Mobile Communications, and Energy Efficiency in network protocols. Professor Salamah has made significant contributions to the understanding of network security mechanisms, trust management systems, and optimization of wireless communication protocols. An analysis of his recent scholarly output reveals a strong focus on security challenges in IoT communication systems, controller placement optimization in software-defined wireless sensor networks, and trust-based malicious node detection schemes. His work demonstrates consistent attention to practical network performance issues while addressing emerging challenges in next-generation communication technologies. Throughout his academic career, Professor Salamah has demonstrated exceptional commitment to student mentorship, supervising numerous graduate students through their research journey. His administrative contributions include service as an associate editor, reviewer, and session chair for academic conferences. His laboratory work focuses on practical implementations of wireless communication protocols, with emphasis on energy efficiency, security mechanisms, and performance optimization for various network architectures including cellular networks, cognitive radio systems, and wireless sensor networks.

David Atienzaمشاهده پروفایل

استاد

• Embedded Systems
• Low-Power Computing
• Edge AI
• +۳ مورد دیگر

David Atienza is a Professor in the Department of Electrical Engineering at the School of Engineering, Swiss Federal Institute of Technology in Lausanne (EPFL), renowned for pioneering embedded systems education and research in ultra-low power computing. His innovative teaching methods, including using Nintendo DS consoles and smartphones to teach embedded systems, earned him the 2015 EPFL Teaching Award in Electrical Engineering. His research focuses on Embedded Systems , Edge AI , and Wearable Healthcare , with breakthroughs in energy-efficient hardware-software co-design for biomedical applications. Key contributions include open-source platforms like X-HEEP and HEEPocrates for ultra-low power edge computing, and frameworks like SzCORE for seizure detection benchmarking. His work bridges computer architecture with real-world healthcare challenges, emphasizing privacy-preserving algorithms and sustainable computing. Recent publications (2023-2025) reveal a dominant trend toward biomedical edge AI and sustainable computing , with 70% of articles targeting healthcare wearables (seizure detection, cough monitoring) and 30% addressing energy efficiency in data centers and edge devices. His research consistently integrates open-hardware principles (RISC-V) with novel algorithm-hardware co-design. Awards include: 2015 EPFL Teaching Award in Electrical Engineering section While specific advising details are unreported, his extensive publication record and leadership in multi-partner projects like Sustainable Textile Electronics (STELEC) indicate active graduate supervision and significant research funding. His group develops open-source hardware frameworks used globally in academia and industry. He leads the Embedded Systems Laboratory at EPFL, driving projects in ultra-low power RISC-V architectures, biomedical wearables, and sustainable computing. Current initiatives include carbon-aware data center frameworks and multi-modal health monitoring systems deployable on commercial wearables.

• Power Electronics
• Electrical Machines and Energy Conversion
• Energy Storage Systems
• +۳ مورد دیگر

Assoc. Prof. Dr. Murat Yılmaz is an Associate Professor at Istanbul Technical University's Faculty of Electrical and Electronics Engineering, Department of Electrical Engineering. His academic career spans over 15 years at Istanbul Technical University, including roles as Deputy Head of Department (2015-2020) and Vice Dean (2020-present). PhD in Electrical Engineering from Istanbul Technical University (1999-2006) Postdoctoral Researcher at University of Illinois at Urbana-Champaign (2007, 2011) His research focuses on: Power Electronics - advanced converter designs and semiconductor applications Electrical Machines - optimization of permanent magnet and reluctance motors Energy Storage Systems - battery efficiency and electrification infrastructure Electric Vehicles - cost-effective BRT systems and sensorless control methods Recent publications highlight his work on IPMSM optimization for light EVs (2025), battery chemistry performance analysis (2025), and PMaSynRM parameter estimation (2024). His research outputs demonstrate strong focus on sustainable energy solutions and motor control systems. Notable awards: 2022 IEEE PEMC Best Paper Award 2022 European Rover Challenge - 3rd Place & Best Robot Arm 2009 WORLD SOLAR CHALLENGE Best New Entrant Multiple TÜBİTAK Formula G awards (2006-2008) IEEE Senior Member (since 2020) Prof. Yılmaz leads multiple funded projects including: 2022-2023: Modeling & Design of Rover Systems for Space Exploration 2020-2021: Flexible SPA Web Applications Consultancy 2018-2021: Battery Charging Systems for Electric Vehicles

Sadegh Talebiمشاهده پروفایل

استادیار

• Reinforcement Learning
• Markov Decision Processes
• Online Learning
• +۲ مورد دیگر

Sadegh Talebi is a Tenure Track Assistant Professor in the Machine Learning Section at the Department of Computer Science, University of Copenhagen . His research focuses on theoretical aspects of reinforcement learning, Markov decision processes, online learning, stochastic multi-armed bandit problems, and resource allocation in networks. Education BSc in Electrical Engineering (minor: Electronics) from Iran University of Science and Technology (IUST) (2004) MSc in Electrical Engineering (minor: Communication Systems) from Sharif University of Technology (2006) PhD in Electrical Engineering from the Department of Automatic Control at KTH Royal Institute of Technology (supervised by Alexandre Proutiere and Mikael Johansson) Research Specializes in theoretical foundations of reinforcement learning and online learning Key contributions in stochastic optimization, MDPs, and bandit algorithms Collaborates on applications in resource allocation and quantum computing Publications include high-impact work on offline RL, differentially private exploration, and scalable MDP solutions in journals like Neural Processing Letters and conferences such as NeurIPS and UAI.

Yuan Pingمشاهده پروفایل

دانشیار

• Materials Science
• Quantum Physics
• Computational Materials Science
• +۳ مورد دیگر

Yuan Ping is an Associate Professor in the Department of Materials Science & Engineering at the University of Wisconsin–Madison, with affiliated appointments in Chemistry and Physics. She joined the university in 2023 and is also a member of the Theoretical Chemistry Institute (TCI). Her research bridges theoretical and computational materials science, focusing on quantum dynamics and many-body interactions. Education : B.Sc. (2007) from University of Science and Technology of China, Ph.D. (2013) from UC Davis, and postdoctoral work at Caltech (2016). Research Interests include: First-principles many-body theory Open quantum dynamics (density-matrix formalism) Spin, exciton, and magnon dynamics Quantum defects for spin qubits Chiral and nonlinear optics in solids Applications in energy conversion, low-power electronics, and quantum information Recent Publications highlight advancements in spin relaxation mechanisms, exciton dynamics in 2D materials, quantum defect modeling for qubits, and terahertz emission technologies. Her work integrates spin-orbit coupling, light-matter interactions, and environmental screening effects. Scientific Awards : Alfred P. Sloan Research Fellow (2022) NSF CAREER Award (2022) DOE Computational Chemistry Science Award (2022) Air Force YIP (2021) ACS COMP OpenEye Award (2021) Teaching : Courses in computational materials science (MSE 460), graduate research (CHEM 990), and advanced seminars.

Patrick Fayمشاهده پروفایل

استاد

• Photovoltaics
• Energy Conversion and Efficiency
• Power Electronics
• +۵ مورد دیگر

Patrick Fay is a Professor of Electrical Engineering at the University of Notre Dame and holds the Stinson Professorship of Nanotechnology. His primary research focuses on microwave, millimeter-wave, and power electronic devices, with applications in photovoltaics, energy conversion, and high-speed optoelectronics. He works in the Fitzpatrick Hall of Engineering and is affiliated with the High Speed Circuits & Devices Lab and the Notre Dame Nanofabrication Facility. Ph.D., Electrical Engineering, University of Illinois at Urbana-Champaign (1996) M.S., Electrical Engineering, University of Illinois at Urbana-Champaign B.S., Electrical Engineering, University of Notre Dame (1991) His research explores novel III-V semiconductor solar cells, GaN-based power transistors, and ultra-low-power heterostructure devices. He applies advanced fabrication techniques to improve performance in terrestrial/space photovoltaics and develops high-efficiency microwave components for wireless communications. Current projects include unconventional solar cell architectures for airborne applications. Prof. Fay has published over 400 journal/conference articles and 11 book chapters, with seven patents in semiconductor technology. He has received multiple teaching awards, including the College of Engineering’s Outstanding Teaching Award (2015) and dual Departmental awards (1998, 2018). His work spans energy-efficient electronics, smart grid systems, and transformative solar energy solutions. IEEE Fellow IEEE Electron Devices Society Distinguished Lecturer Outstanding Teaching Award (1998, 2015, 2018)

Eric Barthمشاهده پروفایل

استاد

• Dynamic systems and control
• Mechatronic systems
• Fluid power systems
• +۷ مورد دیگر

Eric Barth is Professor of Mechanical Engineering and Professor of Neurological Surgery at Vanderbilt University's School of Engineering. He serves as Director of the C* Control laboratory (also known as the Laboratory for the Design and Control of Energetic Systems) and is affiliated with the Vanderbilt Institute for Surgery and Engineering (VISE), an interdisciplinary entity bringing engineers and physicians together to impact healthcare. His educational background includes: Ph.D. in Mechanical Engineering from Georgia Institute of Technology M.S. in Mechanical Engineering from Georgia Institute of Technology B.S. in Engineering Physics from University of California - Berkeley Professor Barth's research focuses on dynamic systems and control with applications spanning multiple domains. His primary interests include the design, modeling and control of mechatronic and fluid power systems, free-piston internal combustion and free-piston Stirling engines, energy storage and harvesting systems, and MRI compatible pneumatic robots for medical applications. His work applies a system dynamics and control perspective to problems involving the control and transduction of energy, encompassing multi-physics modeling, control methodologies formulation, and model-based design. His recent publications reveal a strong trajectory connecting mechanical engineering principles with medical applications, particularly in neurosurgery. The research spans energy systems (especially Stirling engines and novel energy storage approaches) and advanced medical robotics for MRI-guided interventions. This dual focus demonstrates his ability to bridge theoretical control systems with practical applications in both energy and healthcare domains. Professor Barth actively advises several doctoral students including David Comber, Joshua J Cummins, Alexander V. Pedchenko, and E. Bryn Pitt. His research is supported by significant funding, notably from the Center for Compact and Efficient Fluid Power, an NSF Engineering Research Center. The C* Control laboratory he directs occupies approximately 1000 square feet and contains specialized equipment including an 8-camera high-bandwidth optical tracking system, mechanical breadboard tables, pneumatic equipment with high-bandwidth servo-valves, specialized pressure sensors, a thermographic camera, high-speed video equipment, 3D printers, and a 2D laser cutter. Computational facilities include a network of approximately 20 machines running MATLAB/Simulink and SolidWorks, with access to additional CNC machining resources through the School of Engineering and the University.

Ming Jinمشاهده پروفایل

استادیار

• Trustworthy AI
• Cyber-physical systems
• Machine Learning
• +۴ مورد دیگر

Ming Jin is an Assistant Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. He holds a PhD from UC Berkeley and a B.Eng. from Hong Kong University of Science and Technology. His research focuses on trustworthy AI, CPS security, and energy systems, with affiliations to the Power and Energy Center and Autonomy and Robotics @ VT. Education: PhD in Electrical Engineering and Computer Science (UC Berkeley, 2017), B.Eng. (Honors) in Electronic and Computer Engineering (HKUST, 2012). Postdoc in Industrial Engineering and Operations Research at UC Berkeley. Research interests include safe reinforcement learning, foundation models, cybersecurity, and power systems. Awards include the Siebel Scholarship (2018) and first place in the 2021 CityLearn Challenge. Active in conference organization (e.g., ICML, AAAI) and tutorial development on topics like Safe RL and CPS security. Grants include NSF support for embodied optimization (2025), Amazon-VT Initiative (2023), and Commonwealth Cyber Initiative projects. Involved in labs focused on AI, robotics, and energy systems. Publications span AI safety, RL frameworks, and CPS resilience, with over 50 peer-reviewed articles since 2015.

Ali Mehrizi-Saniمشاهده پروفایل

استاد

• Power Systems
• Renewable Integration
• Grid-Forming Inverters
• +۲ مورد دیگر

Dr. Mehrizi-Sani is Professor and Director of the Power and Energy Center at Virginia Tech, leading research in grid integration of renewables through inverter-based technologies. His work advances control systems for low-inertia power networks and cybersecurity for grid communications. Honors include the 2025 VT COE Research Award and IEEE PES Outstanding Young Engineer Award. He has supervised 8 PhD and 10 MSc graduates, with current projects exceeding $13M in funding.