جست‌وجوی استاد و پژوهشگر

Mehrdad Moallemمشاهده پروفایل

استاد

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

Dr. Mehrdad Moallem is a Professor and Graduate Student Supervisor in the Department of Mechatronic Systems Engineering at Simon Fraser University (SFU). He holds a Ph.D. in Electrical & Computer Engineering from Concordia University (1997), an M.Sc. from Sharif University (1988), and a B.Sc. from Shiraz University (1986). His research focuses on control systems in sustainable energy, power electronics, energy harvesting, robotics, and embedded systems. He has authored/co-authored four technical books and serves on editorial boards for journals like IEEE/ASME Transactions on Mechatronics. Dr. Moallem has held academic roles at Duke University and the University of Western Ontario. His teaching includes courses on real-time control systems, mechatronics design, and microprocessors. Research interests span embedded control systems, nonlinear dynamics, and applications in renewable energy and robotics. Recent work includes IoT-enabled lighting systems for agriculture, RF cavity control, and smart energy harvesting. He emphasizes hands-on student projects and industry collaboration, such as the Siemens Certification Program and Industry 4.0 bootcamps. Dr. Moallem's lab develops innovative solutions for energy efficiency and automation, with a focus on sustainable systems and smart manufacturing. He actively advises graduate students on advanced topics like grid-connected inverters, motor drives, and vibration control.

• Vehicular Networks
• Edge Computing
• IoT Security
• +۵ مورد دیگر

Hussein T. Mouftah is a Professor at the University of Ottawa , affiliated with the College of Engineering and Computer Science and the Department of Electrical and Computer Engineering . He is a leading figure in Intelligent Transportation Systems , Wireless Networks , and Smart Cities research. His research spans vehicular ad hoc networks (VANETs) , autonomous electric vehicles (CAEV) , edge computing , IoT security , and 5G/6G-enabled infrastructure . He pioneers dynamic wireless charging , deep reinforcement learning , and federated learning for mobility solutions. The 15 most recent articles highlight his work in edge computing (4 entries), vehicular networks (5 entries), machine learning (3 entries), and blockchain (2 entries), with sub-fields including UAV energy management , real-time task offloading , multi-modal fusion , and smart grid integration . His methodology combines deep RL for autonomous driving , federated learning for decentralized energy trading , and blockchain to secure ITS systems . He collaborates extensively with researchers like Parisa Fard Moshiri , Burak Kantarci , and Binod Vaidya on smart city infrastructure and vehicular security projects.

Kexin Liمشاهده پروفایل

استادیار

• Semiconductor Device Physics
• GaN Device Modeling
• Nanoscale Electronic Materials
• +۳ مورد دیگر

Kexin Li is an Assistant Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University since August 2023. She earned her Ph.D. in Electrical and Computer Engineering from the University of Illinois Urbana-Champaign in 2022, followed by a postdoctoral position at Columbia University. Education: Ph.D., Electrical and Computer Engineering, University of Illinois Urbana-Champaign (2022) M.Eng., Computer Engineering, New York University (2019) MSc., Analog and Digital IC Design, Imperial College London (2014) B.Eng., Electronic Science and Technology, Southeast University (2012) Her research focuses on semiconductor device physics and modeling for high-power, high-frequency applications, with particular expertise in wide bandgap materials like GaN. She develops frameworks for technology-circuit co-design that bridge nanoelectronics, device physics, and circuit implementation. Current work emphasizes cryogenic device modeling for quantum computing interfaces and ultra-wideband RF systems. Analysis of her recent publications reveals a strong focus on GaN HEMT characterization, device-circuit co-design methodologies, and cryogenic operation for quantum applications. Her work spans fundamental semiconductor physics, advanced TCAD simulation, and practical circuit implementation for next-generation communication systems. Scientific Recognition: Selected as 2022 EECS Rising Star Editor's Pick in Journal of Applied Physics (2022) for GaN HEMT modeling work Professor Li actively mentors graduate and undergraduate researchers, currently advising five Ph.D. students and four MS/UG students. Her research group collaborates with institutions including AFRL and focuses on creating a collaborative, diverse environment for developing new electronic materials and systems. She teaches courses including Analog and Digital Circuits (EEE 335) and Fundamentals of Solid-State Devices (EEE 436).

• Digital Communications
• Signal Processing
• Networking
• +۳ مورد دیگر

Mahsa Derakhshani is a Senior Lecturer (equivalent to Associate Professor) in Digital Communications at Loughborough University's Wolfson School of Mechanical, Electrical and Manufacturing Engineering. She leads research in the Signal Processing and Networks Research Group (SPNRG) and serves as an Associate Editor for the IET Signal Processing Journal. Her academic journey includes a PhD from McGill University (2013), followed by postdoctoral roles at the University of Toronto and Imperial College London. Key awards include the Royal Academy of Engineering/The Leverhulme Trust Research Fellowship (2020-21) and NSERC Postdoctoral Fellowships (2015-2017). Research interests focus on digital communications, machine learning for signal processing, wireless networks, and reinforcement learning applications. Recent work addresses challenges in satellite communications, OTFS modulation, and opto-physiological monitoring. She has authored over 70 publications spanning topics like NOMA systems, MIMO optimization, and edge-assisted live streaming. Education: PhD (McGill, 2013), MSc (Sharif University, 2008), BSc (Sharif University, 2006) Affiliations: IEEE Senior Member, IET Member, Fellow of the Higher Education Academy Grants & Funding: Leverhulme Trust, Royal Academy of Engineering, NSERC Labs/Teams: Active in SPNRG and collaborates on projects involving 5G/6G networks, satellite systems, and biomedical signal processing. Current research emphasizes AI-driven solutions for communication networks and wearable health monitoring technologies.

• Artificial Intelligence
• Machine Learning
• Software Engineering
• +۶ مورد دیگر

Talal Shaikh is an Associate Professor at Heriot-Watt University's School of Mathematical and Computer Sciences in Dubai. He serves as Director of Undergraduate Studies and Programme Director for BSc Computer Science, BSc CS (AI), and MSc Software Engineering. With a decade of industry experience as a Chief Information Officer and Software Engineer, he bridges practical insights with academic research. Research Interests: Pervasive Computing, IoT/M2M, AI/ML, WiFi Sensing for Healthcare, Financial Machine Learning, Educational Technology Awards: Teaching Excellence Awards (2017/18), Fellow of the Higher Education Academy (FHEA), multiple Learning and Teaching Oscars (2016, 2017, 2018) His work spans Ubiquitous Computing and IoT , focusing on sensor networks and WiFi-based sensing for healthcare. In Artificial Intelligence , he applies ML to robotics, financial analytics, and educational innovation. Recent articles analyze Reinforcement Learning , Emotion Recognition , and WiFi Sensing applications. His teaching emphasizes student-centric learning, with over 100 supervised dissertations achieving distinctions. Collaborations include international conferences and interdisciplinary research in smart environments and adaptive systems.

Carl Ho (Ngai Man)مشاهده پروفایل

استاد

• Power Electronics
• Heavy-Duty Electric Vehicles
• Renewable Energy Technologies
• +۵ مورد دیگر

Dr. Carl Ho (Ngai Man) is a Full Professor and Canada Research Chair in Efficient Utilization of Electric Power at the University of Manitoba's Price Faculty of Engineering, Department of Electrical and Computer Engineering. Appointed Associate Head (Electrical Engineering) in July 2021, he leads the Renewable-energy Interface and Grid Automation (RIGA) Lab established with CFI funding in 2014. His educational background includes: PhD in Electronic Engineering (2007), City University of Hong Kong MEng in Electronic Engineering (2002), City University of Hong Kong BEng in Electronic Engineering (2002), City University of Hong Kong Dr. Ho's research focuses on power electronics applications for sustainable energy systems, with particular expertise in power conversion technologies for electric vehicles, renewable integration, and smart grid infrastructure. His work bridges industrial application and academic innovation, evidenced by over 40 IEEE journal publications, 80 conference papers, and 20+ patents. Current research emphasizes wide-bandgap semiconductor applications, power hardware-in-loop validation, and DC microgrid architectures for remote communities. Analysis of his recent publications reveals a strong trend toward practical implementation of power electronics solutions, with increasing focus on GaN/SiC devices, grid-forming converters, and modular architectures for microgrids. His work consistently addresses real-world challenges in efficiency, reliability, and cost-effectiveness across renewable integration, electric transportation, and power quality domains. Notable awards include: Second Place Winner for 2018 IEEE Transactions on Power Electronics Prize Paper Multiple IEEE JESTPE Star Associate Editor Awards (2022-2023) IEEE TPEL AE Excellence Award (2023) Best Student Team Regional Award in IEEE Empower a Billion Lives 2019 As an active mentor, Dr. Ho supervises numerous graduate students across multiple cohorts and leads significant research initiatives including NSERC Discovery Grants, MITACS collaborations with Power Integrations Inc., Research Manitoba Innovation Proof-of-Concept Grants, and Natural Resources Canada projects on zero-emission heavy vehicles. His RIGA Lab serves as a hub for industry-academic collaboration with Manitoba Hydro and transportation sector partners. The RIGA Lab, completed in 2016 and renovated in 2019, houses specialized equipment for power electronics prototyping, real-time simulation, and hardware-in-loop testing. Current projects include advanced wireless EV charging, GaN-based controller development, and DC microgrid solutions for remote communities, with recent recognition including a visit from Prime Minister Justin Trudeau in April 2023.

Pyry Kivisaariمشاهده پروفایل

پژوهشگر

• Optoelectronics
• Semiconductor Devices
• Photonics
• +۴ مورد دیگر

Pyry Kivisaari is a Postdoctoral Researcher at the Department of Neuroscience and Biomedical Engineering, Aalto University, specializing in computational modeling of optoelectronic semiconductor devices. His work bridges theoretical physics and engineering applications with significant contributions to light-emitting diode and solar cell technologies. His primary research domains include: Optoelectronics and photonics Semiconductor device physics Nanoscale optoelectronic structures Numerical simulation frameworks Light-matter interaction in resonant cavities Efficiency enhancement mechanisms Analysis of his 15 most recent publications (2019-2024) reveals a consistent focus on thin-film and nanoscale optoelectronic devices, particularly examining carrier dynamics, light emission characteristics, and efficiency limitations in LED and solar cell architectures. His work frequently employs advanced simulation techniques to investigate novel device concepts like nanotree LEDs, double diode structures, and thermophotonic systems, with strong emphasis on practical engineering solutions for performance optimization. Dr. Kivisaari maintains active collaboration with leading researchers in semiconductor physics and has published in high-impact journals including Applied Physics Letters, Physical Review Applied, and Nano Letters, demonstrating sustained scholarly productivity in optoelectronic device research.

Thomas Ebelمشاهده پروفایل

استاد

• Power Electronics
• High-Voltage Electrical Engineering
• Dielectric Materials
• +۳ مورد دیگر

Thomas Ebel is Professor and Head of the Centre for Industrial Electronics at the University of Southern Denmark (SDU) , Institute of Mechanical and Electrical Engineering. A leading expert in power electronics, high-voltage engineering and capacitor technology, he directs large, multi-partner research projects and teaches/supervises at both graduate and PhD levels. Education & Career Path Prof. Ebel holds the academic title Dr. rer. nat. and has been appointed full Professor at SDU. He concurrently serves as Head of Section at the Centre for Industrial Electronics, orchestrating cross-disciplinary research teams and infrastructure. Research Interests Power Electronics & Power Conversion: advanced converter topologies, WBG devices (GaN, SiC), high-frequency magnetics, grid-forming control. Dielectric Materials & Capacitors: polymer and hybrid nanocomposite dielectrics, self-healing metallized film capacitors, aluminium electrolytic capacitors, lifetime modelling and reliability. High-Voltage Engineering & Breakdown Physics: breakdown mechanisms in nanocomposites, corona and partial discharge, insulation coordination. IoT & Data-Driven Monitoring: real-time condition monitoring, digital twins, data-driven RUL estimation for power components. Publication Trends Across 133 research outputs (2018-2025) the dominant themes are (i) construction and reliability of 700 V-class aluminium polymer electrolytic capacitors, (ii) GaN-based power converter optimisation, (iii) hybrid AC/DC microgrid control and harmonic mitigation, and (iv) nanocomposite dielectrics for next-generation capacitors. The 15 most recent articles (2025) reinforce these directions while adding socio-technical energy analytics and green-vehicle powertrains. Scientific Awards Tek Innovation Prize 2023 – awarded for outstanding contributions to power electronics research and industrial innovation. Advising & Funding Prof. Ebel currently supervises ~10 PhD candidates and post-docs including L. Tavares, M. A. Khan, R. Maheshwari, S. Mateen, A. N. Pinky and others. He is Principal Investigator or Head Coordinator of six active projects (2024-2027) valued at >€8 M, spanning ultra-high-efficiency drives, hydrogen-PtX converters, self-healing capacitors and hybrid power-plant concepts. Laboratory & Teams He heads the High-Voltage Power Electronics Laboratory at SDU, equipped with 700 V/200 A capacitor test rigs, GaN/SiC converter prototyping benches, and environmental chambers for accelerated ageing studies. The centre collaborates with 20+ industrial partners and coordinates the international IEA Wind Task 50 on hybrid power plants.

Aaqib Saeedمشاهده پروفایل

استادیار

• Human-Centric AI
• Federated Learning
• Self-Supervised Learning
• +۳ مورد دیگر

Aaqib Saeed is an Assistant Professor in the Department of Industrial Design at Eindhoven University of Technology. His research focuses on Human-Centric AI, Federated Learning, Self-Supervised Learning, and Audio Understanding, with applications in Personal Health. He holds a PhD (cum laude) from TU/e and an MSc (cum laude) from the University of Twente. Education: PhD in Computer Science (cum laude), TU/e (2021) MSc in Computer Science (cum laude), University of Twente (2018) Research Interests: Development of robust federated learning frameworks for decentralized data Self-supervised learning for audio and physiological signal analysis AI-driven solutions for healthcare monitoring Key Contributions: DeltaMask: Reducing communication overhead in federated fine-tuning FedNS: Mitigating noisy decentralized data in federated learning Labeling Chaos to Learning Harmony: Handling label noise in FL Professional Experience: Visiting Industrial Fellow, University of Cambridge (2023) Research Scientist, Philips Research (2019–2023) Research Internships: Google Research, TNO/EIT Digital Awards: UT Scholarship (MSc) Cum Laude awards for both PhD and MSc Labs/Teams: EAISI Health, EAISI Foundational, Computational Design Systems.

Gamze Egin Martinمشاهده پروفایل

پژوهشگر

• Power Electronics
• Thermal Management
• Electric Vehicles
• +۳ مورد دیگر

Gamze Egin Martin is a Researcher in the MOBI - Electromobility Research Centre at Vrije Universiteit Brussel's Faculty of Engineering, specializing in Electrical Engineering and Power Electronics. She focuses on advanced thermal management systems for wide bandgap (WBG) semiconductors, power electronics for electric vehicles, and high-performance power module design. Her work includes projects like SOCMAAK36 (Smart Single Oil System), NEXTBMS (Next-Gen Battery Management Systems), and HiEfficient (GaN-based power systems). Research Interests: Power Electronics, Thermal Systems, Electric Vehicle Technologies, Semiconductor Reliability Her recent publications address challenges in GaN power modules, SiC MOSFET cooling, and additive manufacturing for automotive inverters. She actively collaborates with industry partners, contributing to EU-funded initiatives like ECSEL. Key Projects: BRGPROV9 (HiEfficient), EUAR140 (NEXTBMS), SOCMAAK36 She has supervised student research, including Aouami's Master's thesis on cooling systems for WBG-based chargers.

Bipin Rajendranمشاهده پروفایل

استاد

• Intelligent Computing Systems
• Hardware-software co-design
• Novel materials & devices
• +۴ مورد دیگر

Bipin Rajendran is a Professor of Intelligent Computing Systems at King's College London, based in the Department of Engineering within the Faculty of Natural, Mathematical & Engineering Sciences. He directs the King's Laboratory for Intelligent Computing and co-leads the Centre for Intelligent Information Processing (CIIPS). Previously, he held positions at IBM Research and academic institutions in the U.S. and India. His research focuses on algorithms, devices, and systems for intelligent computing, emphasizing neuromorphic computing, memristive devices, and hardware-software co-design. Education: B.Tech, IIT Kharagpur (2000) M.S. and Ph.D., Electrical Engineering, Stanford University (2003, 2006) Research Interests: Rajendran's work spans hardware-software co-design, novel materials for neuromorphic systems, event-driven computing algorithms, and energy-efficient AI hardware. His contributions include foundational research on memristive devices for spiking neural networks and phase-change memory-based learning systems. Grants & Awards: He has received funding from EPSRC, NSF, European Commission, and industry partners like Intel and IBM. Notable awards include the IBM Faculty Award (2019) and election to the U.S. National Academy of Inventors (2019). Labs & Initiatives: Leads the King's Laboratory for Intelligent Computing and collaborates on projects like NeuroComm (6G neuromorphic comms) and SGAI (green AI systems). His work bridges nanoscale devices with AI algorithms for sustainable computing.

Mark Lawمشاهده پروفایل

استاد

• Semiconductor Device Modeling
• Integrated Circuit Fabrication
• Superconductivity
• +۴ مورد دیگر

Mark Law is a Professor in the Department of Electrical & Computer Engineering at the University of Florida, part of the Herbert Wertheim College of Engineering. His research focuses on semiconductor process modeling, integrated circuit fabrication, and superconductivity. He leads the ColdFlux superconductor design tool project and has contributed to advancements in Ga2O3 and GaN-based devices. Education: PhD, Electrical Engineering, Stanford University (1988) MS, Electrical Engineering, Stanford University (1982) BS, Computer Engineering, Iowa State University (1981) Research Interests: Design and modeling of IC fabrication processes, semiconductor device behavior, superconducting electronics, radiation effects in semiconductors, and TCAD simulation tools. His work emphasizes practical applications of advanced materials like Ga2O3 and GaN in power electronics and high-voltage devices. Notable Contributions: Developed the ColdFlux EDA tool for superconducting circuits, pioneered edge termination techniques for β-Ga2O3 rectifiers, and modeled radiation damage in wide-bandgap semiconductors. Awards: Fellow, National Collegiate Honors Council (2023) UF Academy of Distinguished Teaching Scholars (2019) IEEE Electron Device Society J.J. Ebers Award (2010) Multiple teaching awards, including College of Engineering Teacher of the Year (1996). Advising & Grants: While no specific students are listed, his research has been supported by industry and government grants. He advises on semiconductor fabrication processes and has led collaborative projects with SEMI and the Semiconductor Research Corporation. Labs & Teams: Leads the ECE Device Simulation Group and collaborates with the University of Florida’s Materials Science Department on advanced semiconductor projects.

Peter Chinمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Differential Geometry
• +۸ مورد دیگر

Professor Peter Chin is a Professor of Engineering at Dartmouth College and Director of the Learning, Intelligence + Signal Processing (LISP) Lab. He holds affiliations with the Thayer School of Engineering and serves as Associate Editor of IEEE Transactions on Computational Social Systems. His research bridges signal processing, machine learning, game theory, and differential geometry, with applications in cybersecurity, healthcare, and network analysis. Education: Bachelor of Science in Electrical Engineering, Computer Science, and Mathematics from Duke University (1993) Doctor of Philosophy in Mathematics from MIT (1998) Research Interests: Chin’s work focuses on fundamental questions at the intersection of machine learning, game theory, and signal processing. His lab explores topics like adversarial defense mechanisms, topological machine learning, and computational neuroscience. Recent projects include cybersecurity resilience modeling, medical imaging enhancements via GANs, and multi-agent reinforcement learning frameworks. Publications Trends: His most recent articles address cutting-edge challenges in cybersecurity (e.g., autonomous defense systems), medical AI (e.g., Alzheimer’s classification), and adversarial robustness. A notable 2025 focus is on quantitative resilience modeling for cyber defense, reflecting growing demand for AI-driven security solutions. Awards: Faculty Scholar Award, Duke University George Sherred III Award, Duke University Julia Dale Memorial Award, Duke University Grants & Leadership: Recipient of DARPA cybersecurity research grants Co-chair for SPIE/DSS Cyber Sensing Conference (2013–2020) Developed novel compressive sensing microscope for biological imaging LISP Lab: This interdisciplinary lab pioneers projects like nFlip (multiplayer security game models) and topological machine learning frameworks, emphasizing practical applications of theoretical advancements.

Omar Hegazyمشاهده پروفایل

استاد

• Power Electronics Systems
• Electric Vehicles
• Battery Management Systems
• +۷ مورد دیگر

Omar Hegazy is a Professor in Electrical Engineering and Power Electronics at Vrije Universiteit Brussel (VUB), affiliated with the MOBI - Electromobility Research Centre. He leads research in power electronics systems, electric vehicle drivetrains, and energy management. His work focuses on reliability, WBG semiconductors, and sustainable transportation systems. Education details are not explicitly provided, but his extensive publication record and project leadership imply advanced academic qualifications. Research interests include power electronics, battery management systems, hybrid/fuel cell vehicles, and V2X technologies. His projects address challenges in electric vehicle infrastructure, grid integration, and renewable energy systems. Key trends in his articles include digital twin development for electric trucks, advanced thermal management of SiC devices, and optimization of DC charging systems. His work emphasizes practical applications like modular converters, fault-tolerant drives, and interoperable charging solutions. Awarded Best Master Thesis (2019), Best Paper (2024), and Optimal Design Recognition (2016) Supervised over 49 theses, including master's and doctoral studies in power electronics and EV systems Secured funding for projects like HiPower 5.0, HARPOONERS, and FLEXMCS Labs/Teams: Active in MOBI's Electromobility Research Centre, collaborating on advanced power electronics and e-mobility solutions. Involved in interdisciplinary teams for microgrid design and DC charging infrastructure.

Mustapha C.E. Yagoubمشاهده پروفایل

استاد

• RF/Microwave Circuit Design
• RFID Systems
• Antenna Design
• +۵ مورد دیگر

Mustapha C.E. Yagoub is a Full Professor at the School of Electrical Engineering and Computer Science, University of Ottawa, with over 500 publications in RF/microwave CAD, RFID systems, neural networks, and applied electromagnetics. He leads research in the ELEMENT Laboratory and RFM Research Group , focusing on wireless communication systems and nonlinear device modeling. PhD in Electronics (Institut National Polytechnique de Toulouse, 1994) Magister in Telecommunications (École Nationale Polytechnique d'Alger, 1987) Dipl.-Ing. in Electronics (École Nationale Polytechnique d'Alger, 1979) His research bridges Microwave Circuit Design with Artificial Intelligence , including applications in Energy Conservation and Telecommunication Systems . Key trends in his publications include hybrid modeling techniques combining Neural Networks with Computational Electromagnetics for optimizing Antenna Design and RF Components . He is a Senior Member of IEEE and licensed with the Professional Engineers of Ontario and Ordre des Ingénieurs du Québec . His lab teams focus on High-Tc Superconducting Devices and Directional Antenna Optimization for RFID networks.