جست‌وجوی استاد و پژوهشگر

• Electrical Engineering
• Power Systems
• Renewable Energy
• +۵ مورد دیگر

Professor Grahame Holmes is an Honorary Professor in the School of Engineering at RMIT University, Australia. His expertise spans electrical energy conversion, smart energy systems, renewable energy integration, power electronics, and grid infrastructure. He focuses on advancing technologies for sustainable energy storage, grid stability, and high-efficiency power conversion. Research Interests : Electrical and Electronic Engineering, Communications Technologies, Power Electronics, Renewable Energy Systems, and Grid Integration Solutions. His work emphasizes practical applications such as hydrogen energy storage systems, grid-interactive inverters, and modular multilevel converters. Recent Contributions : Prof. Holmes has published extensively on topics like advanced PWM techniques, resonant current controllers, and DC transformer designs. His research bridges theoretical advancements with real-world implementations, addressing challenges in smart grid stability and high-frequency power conversion. Advising & Grants : Supervised projects include 'Hydrogen Energy Storage System for Nanogrid' (2015) and 'Synchronised Control of Grid-Interactive Inverters' (2015). While specific grant details are not listed, his work aligns with major themes in sustainable energy research. Labs & Collaborations : Engages in collaborative research through RMIT's facilities, focusing on hardware-software co-simulation frameworks and FPGA-based real-time systems.

Ayhan Günمشاهده پروفایل

دانشیار

• Control Systems
• Mathematical Modeling in Electrical Engineering
• Artificial Neural Networks
• +۱۲ مورد دیگر

Assoc. Prof. Dr. Ayhan Gün is an Associate Professor in the Department of Electrical and Electronics Engineering at Kütahya Dumlupınar University's Faculty of Engineering. With a career spanning over two decades, he has held various academic positions including Research Assistant, Assistant Professor, and currently Associate Professor since 2024. His extensive administrative experience includes serving as Head of the Control and Command Systems Department (2007-2021) and various leadership roles in university-industry collaboration initiatives. Dr. Gün completed his Bachelor's degree at Near East University (1991-1996), Master's at Dumlupınar University (1998-2001), and PhD at Eskişehir Osmangazi University (2001-2007). His research focuses on control systems, mathematical modeling, artificial neural networks, robotics, SCADA, PLC programming, electromechanical systems, nonlinear control, fuzzy logic, optimization techniques, automation, biomechanics, and mechatronics. His recent publications demonstrate a consistent research trajectory in control engineering, with particular emphasis on optimization algorithms applied to quadrotor control, inverted pendulum systems, and electrical motor design. His work bridges theoretical control concepts with practical implementations in robotics and power systems. A significant portion of his research involves applying swarm intelligence and evolutionary algorithms to solve complex control problems. Bilim, Sanayi ve Teknoloji Bakanlığı Kurumsal Kapasitenin Arttırılması (2016) BİLİM SANAYİ VE TEKNOLOJİ BAKANLIĞI Çift Beslemeli İndüksiyon Generatörü Tasarımı ve İmalatı (2016) Dr. Gün has supervised multiple graduate students and managed numerous research projects, including the current 'Robotic Arm Design and Implementation for Patients with Hemiparetic Arms' project. His external roles include serving as an expert witness for judicial institutions, project referee for TÜBİTAK, and publication reviewer for IEEE Transactions. He has also contributed to regional development through his work with Kütahya Governorship's Planning and Development Board.

• Process Technology
• Device Design
• Silicon Carbide (SiC) Electronics
• +۳ مورد دیگر

Carl-Mikael Zetterling is a Professor and Head of Department at Kungliga Tekniska Högskolan (KTH) in Stockholm, Sweden, affiliated with the School of Electrical Engineering and Computer Science (ICT) and the Electronics and Embedded Systems department. His research focuses on process technology and device design for high-temperature, high-power silicon carbide (SiC) electronics, expanding into SiC-based analog and integrated circuits. He has authored over 300 publications, including books on SiC process technology and plagiarism prevention. Dr. Zetterling has held leadership roles such as Vice Dean of the School of ICT (2013–2017) and teacher representative on KTH's faculty board. He has collaborated internationally at Stanford University, Kyoto University, and Kyoto Institute of Technology. His work addresses applications in extreme environments, including Venus exploration and fusion reactor monitoring, with a focus on radiation tolerance and thermal resilience. The 15 most recent publications highlight trends in wide bandgap semiconductors, gamma irradiation effects on SiC devices, and high-temperature integrated circuits. His articles span structural health monitoring with machine learning, novel SiC diode designs, and radiation-hardened electronics. Key contributions include advancements in self-aligned contacts, trench MOSFETs, and compact modeling for extreme conditions. While no formal awards are listed, his roles in technical program committees (TMS Electronic Materials Conference, IEEE SISC Conference) and editorial work demonstrate significant academic service. He teaches courses ranging from digital design to high-temperature electronics, overseeing degree projects in embedded systems, communication, and nanotechnology.

Taehyung Kimمشاهده پروفایل

دانشیار

• Power Electronics
• Motor Drives
• Automotive Engineering
• +۳ مورد دیگر

Taehyung Kim is an Associate Professor at the University of Michigan-Dearborn in the Department of Electrical and Computer Engineering , College of Engineering and Computer Science. His research focuses on power electronics , motor drives , and electric/hybrid power systems for vehicles and aircraft , with an emphasis on renewable energy integration and fault-tolerant control . Education Ph.D., Electrical & Computer Engineering, Texas A&M University M.S., Electrical Engineering, Korea University B.S., Electrical Engineering, Korea University His research interests include energy conversion systems, power electronics for electric vehicles, evaluation and diagnosis of AC motors, and position sensorless control of permanent magnet motors. He leads the KIM Laboratory , which explores unmanned aerial vehicles (UAVs) , battery systems , and powertrain reliability . The 15 most recent articles (2024-2021) highlight his work on hybrid UAVs , fault detection algorithms , cost-effective converters , and powertrain optimization . These publications span power electronics , renewable energy integration , and electric propulsion systems , with applications in transportation electrification and industrial power systems . Scientific Awards NSF Mid Career Advancement Award, 2023 IEEE-IAS Prize Paper Award (2nd Place), 2012 Best Paper Award, IEEE Transportation Electrification Conference, 2021 Listed in "World Top 2% Scientists" (Stanford University, 2020-2024) Listed in Marquis Who’s Who in America Technical Program Co-Chair, 2009 IEEE Vehicle Power and Propulsion Conference Prof. Kim has advised numerous PhD and Master’s students , including Feng Zhou , Sreekanthreddy Chalapala , and Sahithya Parvathareddy . He has secured significant grants from the NSF , Department of Energy , and industry partners like Ford, focusing on smart monitoring , fault identification , and energy management for electrified systems. His lab’s facilities include advanced power electronics labs and hybrid powertrain testing environments .

Tobias Geyerمشاهده پروفایل

استاد پژوهشی

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

Tobias Geyer is a Research Professor and Privatdozent at ETH Zurich's Department of Information Technology and Electrical Engineering, with an adjunct role as Extraordinary Professor at Stellenbosch University, South Africa. He leads ABB's R&D platform for medium-voltage drives (ACS6000/6080) and serves as a Corporate Executive Engineer for power converter control methods. His career spans roles at GE Research, the University of Auckland, and ABB's Corporate Research Centre. Education: Dipl.-Ing. (ETH Zurich, 2000), Ph.D. (ETH Zurich, 2005), Habilitation (ETH Zurich, 2017). Research focuses on model predictive control (MPC), high-power converters, and grid integration strategies. Key areas include optimized pulse patterns, thermal management, and control of medium-voltage drives. Notable achievements include the IEEE Fellow distinction (2022), Semikron Innovation Award (2021), and five prize paper awards. He authored a seminal book on MPC in power electronics and serves on editorial boards for top journals. Current projects emphasize digitalization, predictive maintenance, and special applications in oil/gas and offshore wind sectors.

• Power Electronics
• Control Theory
• Mathematical Optimization
• +۵ مورد دیگر

Petros Karamanakos is an Assistant Professor in the Department of Electrical Engineering at Tampere University's Faculty of Information Technology and Communication Sciences. His research focuses on advanced control methodologies for power electronic systems, emphasizing optimization, mathematical programming, and model predictive control. He holds a Ph.D. and Diploma in Electrical and Computer Engineering from the National Technical University of Athens (2007–2013). Prior to his academic role, he worked at ABB Corporate Research Center (2010–2011) and was a PostDoc Research Associate at Technische Universität München (2013–2016). His mission involves developing control methods that maximize hardware capabilities while minimizing hardware requirements. Key research topics include variable speed drives, grid-connected converters, multilevel power converters, and modulation strategies. He has received prestigious awards, including the Third Best Paper Award in IEEE Transactions on Industry Applications and four IEEE conference prize paper awards. Teaching responsibilities include courses on power electronics and control systems. He actively supervises BSc, MSc, and PhD students. His work bridges theoretical advancements with practical implementations in power electronics, with a focus on real-time control and system optimization.

Fahad Ahmadمشاهده پروفایل

مدرس

• Machine Learning
• Cybersecurity
• Medical Informatics
• +۶ مورد دیگر

Fahad Ahmad is a Lecturer in the School of Computing within the Faculty of Technology at the University of Portsmouth. He holds affiliations with the Portsmouth AI and Data Science Centre, Centre for Cybercrime and Economic Crime, and Portsmouth Centre for Advanced Materials and Manufacturing. His research focuses on machine learning applications in healthcare, cybersecurity, and quantum computing. He supervises PhD students in topics like quantum machine learning for securing IoT medical devices. Key research areas include: Medical imaging diagnostics using deep learning (e.g., echocardiograms, X-rays) Cybersecurity for financial systems and SDN-NFV networks Quantum key distribution for post-quantum security AI-driven health management systems Recent work emphasizes: Human activity recognition through machine learning Cancer subtype classification using RNA expression data Emotional empathy modeling in intelligent agents His articles span healthcare technology, cybersecurity frameworks, and hybrid AI architectures. He actively contributes to international conferences and journals, with over 60 peer-reviewed publications. Research collaborations include institutions in Pakistan and the UK.

Youngjoong Jooمشاهده پروفایل

استاد

• CMOS analog and mixed-signal circuits
• Low power systems
• Smart camera systems
• +۴ مورد دیگر

Youngjoong Joo serves as a Professor in the Department of Electrical and Computer Engineering at the University of Texas at San Antonio (UTSA), housed within the Margie and Bill Klesse College of Engineering and Integrated Design. His academic foundation includes a Ph.D. from the Georgia Institute of Technology (1999), which anchors his technical expertise in integrated circuit design and sensor systems. Ph.D., Georgia Institute of Technology, 1999 Joo's research spans CMOS analog and mixed-signal circuits, low-power systems, smart camera architectures, optical/UWB transceivers, RFID, and smart sensor networks. His work consistently bridges theoretical circuit design with practical applications in imaging, wireless communications, and biomedical sensing. Notable contributions include self-reset CMOS image sensors achieving >105dB dynamic range, gold nanorod-enhanced SPR biosensors, and energy-efficient UWB transceivers for sub-GHz applications. His methodologies emphasize noise reduction, dynamic range optimization, and nanoscale integration for real-world deployment. Analysis of Joo's 15 most recent publications reveals a strong focus on CMOS-based sensor and transceiver systems , with 60% targeting imaging applications (e.g., high-dynamic-range sensors) and 40% addressing wireless communications (UWB/RFID). Key trends include nanomaterial integration for biosensing (2010-2013), precision pulse-shaping for UWB (2006-2012), and architectural innovations for low-power operation. His work consistently appears in IEEE journals and conferences, demonstrating sustained impact in circuit design. While no formal advising relationships or grant details are explicitly documented in the source material, Joo's extensive publication record (12+ peer-reviewed journal articles and 20+ conference papers since 2000) indicates active research leadership. His collaborations span institutions including Georgia Tech and industry partners, focusing on heterogeneous integration of optical/electronic systems. Joo maintains laboratory facilities for CMOS sensor development and UWB transceiver prototyping, with documented work on focal-plane arrays, optical interconnects, and nanoscale biosensors. His lab bridges VLSI design, electromagnetic modeling, and system-level validation for applications ranging from emergency response RFID to medical diagnostics.

Bert Stegemannمشاهده پروفایل

استاد

• Photovoltaics
• Physics
• Lasers
• +۵ مورد دیگر

Bert Stegemann is a Professor at HTW Berlin - University of Applied Sciences , affiliated with the Department of Engineering I. His research focuses on Photovoltaics , Lasers , and Materials Science , with specialization in Perovskite solar cells , CIGSe solar cells , and monolithic interconnection schemes . Department: Engineering I Research Clusters: Climate-friendly energy systems, Laser patterning, Tunnel oxide passivation Research Trends (2014-2025): Stegemann has published extensively on laser patterning techniques for photovoltaic modules, particularly analyzing nanosecond vs. picosecond pulse effects on perovskite and CIGSe materials. His work explores interface passivation methods for silicon and chalcopyrite semiconductors, aiming to reduce recombination losses and improve industrial scalability of solar cell fabrication. Collaborative Networks: Stegemann collaborates with institutions like the Helmholtz-Zentrum Berlin and the German-American Fulbright Commission . His publications involve co-authors such as Christian Schultz , Eva Unger , and Markus Fenske . Advising & Institutional Roles: He has supervised 2 doctorates and participates in departmental governance as a member of the Department Council and Renewable Energies committees.

Ceyhun Yildizمشاهده پروفایل

مدرس

• Renewable Energy Systems
• Power Electronics
• Artificial Intelligence
• +۳ مورد دیگر

Ceyhun Yildiz is a Doctor Lecturer at the Circuits and Systems Department within the Faculty of Engineering and Natural Sciences at Bandırma Onyedi Eylül Üniversitesi. Previously, he held academic positions at Kahramanmaraş İstiklal University and Kahramanmaraş Sütçü Imam University, serving as Department Head at Kahramanmaraş İstiklal University's Elbistan Vocational School. His academic career spans over a decade with roles including research assistant (2005-2008) and lecturer positions in Electrical Engineering. His research focuses on renewable energy systems, power electronics, and artificial intelligence applications in energy sectors. Key interests include wind energy optimization, machine learning-driven forecasting (e.g., wind power, solar output, electricity prices), and hybrid energy system integration. He has led projects on optimal turbine placement, energy storage solutions, and grid stability analysis. Yildiz has authored/co-authored over 40 publications, with recent works emphasizing deep learning models for electricity load forecasting and wind farm layout optimization. He teaches graduate courses on machine learning applications in engineering and has supervised master's theses on solar power estimation and hybrid energy systems. His work integrates theoretical and applied research, addressing challenges in renewable energy scalability and grid compatibility.

• Integrated Circuits Design
• Wireless Communication Systems
• MEMS Technology
• +۴ مورد دیگر

Prof. Vlassis Spyridon holds a full professor position in the Electronics Laboratory at the University of Patras. He specializes in integrated circuit design, wireless communication systems, and low-power electronics. With a Ph.D. in Electronics from Aristotle University of Thessaloniki (2000), his career spans academic research and industry collaborations. His research interests include battery-less RF tags for IoT, clock/data recovery systems, and high-speed serial interfaces. He has led projects in MEMS-based clock generators, transceiver ASICs, and power management ICs for hearing aids. Education: B.Sc. Physics (1994), Aristotle University M.Sc. Electronics (1996), Aristotle University Ph.D. Electronics (2000), Aristotle University Research focuses on analog integrated circuits, including voltage-controlled oscillators (VCOs), phase interpolators, and time-mode signal processing. He has developed innovative circuits for multi-Gigabit serial links and holds five patents, with over 70 peer-reviewed publications. Recent work includes MPHY-compliant serial interfaces and temperature-compensated oscillators. Industry collaborations include projects with telecom providers and startups, designing ASICs for MEMS headphones, solid-state relays, and wireless transceivers. His articles highlight advancements in low-power CMOS circuits, jitter optimization, and digital-to-PWM conversion. Patents: Wireless transmitter DC offset recalibration (2006) Subthreshold MOS resistor (2014) Tunable subliminal transconductor (2016) Additional Czech-registered innovations Labs/Teams: Active in the Electronics Laboratory at University of Patras, contributing to multi-disciplinary projects in analog and digital circuit design.

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

Dr. Geoff Walker is an Associate Professor in Power Engineering at QUT's School of Electrical Engineering & Robotics, part of the Faculty of Engineering. His research focuses on power electronics applications in renewable energy (especially PV), electric vehicles, and smart grid technologies. He holds a PhD from the University of Queensland and has over 25 years of industry and academic experience, including roles at Aurecon and the University of Queensland. His expertise spans multilevel converters, distribution networks, and PWM strategies. Current roles: Associate Professor, QUT; Member of IEEE and Engineers Australia Research interests: Photovoltaic grid integration, EV systems, power quality, and renewable energy optimization Teaching includes power electronics, electrical engineering foundations, and energy systems. He has supervised over 140 undergraduate theses and contributed to projects like the Google Little Box Challenge Academic Award-winning research. His work emphasizes practical solutions for modern energy challenges, including battery storage systems and grid reliability improvements.

Georges Pavlidisمشاهده پروفایل

استادیار

• Thermal Engineering
• Nanotechnology
• Semiconductor Devices
• +۴ مورد دیگر

Dr. Georges Pavlidis is an Assistant Professor in the Department of Mechanical Engineering at the University of Connecticut. He holds an M.Eng from Imperial College London and an M.S/Ph.D from Georgia Institute of Technology. His research focuses on developing nanoscale thermal metrology techniques for energy, medical, and quantum engineering challenges. Key areas include thermal conductivity of wide bandgap semiconductors (e.g., GaN), 2D materials, and phase change photonic devices. He pioneered microheater engineering for multi-level optical switching and AFM-IR methods for nanoscale transport analysis. Education: M.Eng (Imperial College London, 2013); M.S./Ph.D. (Georgia Tech, 2018) Postdoctoral Work: NIST (2020–2022) using AFM methods on isotopically-enriched 2D materials Research interests span thermal management in 6G+ electronics, neuromorphic device failure mechanisms, and quantum material thermal properties. His NSF EAPSI fellowship supported GaN thermal studies under Nobel laureate Hiroshi Amano. He has published over 25 articles on nanoscale thermal characterization and photonics. Key Awards: NSF EAPSI Fellowship (2018) Grants and advising: No specific grants listed in text, but active in mentoring graduate students through UConn’s mechanical engineering program. His lab focuses on interdisciplinary nanotechnology and energy systems.

Susanna Spinsanteمشاهده پروفایل

دانشیار

• Electrical and Electronic Measurements
• Machine Learning
• IoT Technologies
• +۶ مورد دیگر

Dr. Susanna Spinsante is an Associate Professor at the Department of Information Engineering, School of Engineering, Università Politecnica delle Marche (UNIVPM), Italy. Her research focuses on electrical measurements, IoT-enabled sensor systems, and machine learning applications for fault detection and health monitoring. Academic Rank: Associate Professor Department: Information Engineering University: Università Politecnica delle Marche Her research spans wearable devices for physiological signal analysis, radar-based vibration monitoring for UAV/drone security, and IoT applications in digital health. She has published extensively on skin conductance monitoring, radar signal processing, and assisted living technologies. Recent work includes unsupervised learning techniques for physical fatigue detection, mmWave radar applications in vehicle safety, and covert communication channels for UAV security. Her 2025 articles highlight advancements in nitrate detection via Raman spectroscopy and industrial fan quality inspection using 77 GHz radar. Key collaborations involve projects like vINCI and HealthyIoT conferences, emphasizing ambient assisted living and biomedical sensor validation.

Lassi Aarniovuoriمشاهده پروفایل

دانشیار

• Electric Vehicles
• Power Electronics
• Modulation Methods
• +۶ مورد دیگر

Lassi Aarniovuori serves as an Associate Professor (Tenure Track) in Electrical Engineering at LUT School of Energy Systems, LUT University in Lappeenranta, Finland. His academic career includes a Doctor of Engineering in Electrical Drives Engineering from LUT University (2010) and a Marie Curie Research Fellowship at Aston University (2017-2019). As an IEEE Senior Member, he maintains active contributions to the field of electrical engineering with particular expertise in power electronics and electric drive systems. Master of Science in Electrical Engineering (2005), LUT University Doctor of Engineering in Electrical Drives Engineering (2010), LUT University Marie Curie Research Fellow (2017-2019), Aston University, Birmingham Professor Aarniovuori's research spans electric vehicles, power electronics, modulation methods, electric drives simulation, energy efficiency measurements, and calorimetric measurement systems . His work focuses on improving the efficiency and performance of electrical machines and power conversion systems, with special attention to loss measurement techniques and thermal management. The research has significant implications for sustainable transportation and industrial applications where energy efficiency is paramount. Analysis of his recent publications (2023-2025) reveals a strong focus on next-generation power electronics, particularly silicon carbide technology for high-speed drives, advanced loss measurement techniques, and optimization of electric machines. His work increasingly addresses practical challenges in electric vehicle charging infrastructure, high-power systems, and the transition to electrified heavy-duty transportation, demonstrating both theoretical depth and practical application. IEEE Senior Member Marie Curie Research Fellowship (2017-2019) While specific grant information isn't detailed in the provided text, Professor Aarniovuori's Marie Curie Fellowship indicates successful competitive funding acquisition. His extensive publication record suggests ongoing research projects and collaborations focused on advancing power electronics and electric machine technologies. His work appears to bridge academic research with industrial applications, particularly in the electric vehicle sector. Professor Aarniovuori's research environment at LUT School of Energy Systems likely includes specialized laboratories for electric machine testing, power electronics development, and thermal measurement systems. His focus on calorimetric measurement systems suggests dedicated facilities for precise efficiency determination of electrical machines and power converters, supporting both fundamental research and industry collaboration.