جست‌وجوی استاد و پژوهشگر

• Control Systems
• Machine Learning
• Robotics
• +۶ مورد دیگر

Marko Tanasković is a researcher at Singidunum University's Faculty of Informatics and Computing, specializing in control systems, robotics, and electrical engineering. He holds a PhD from ETH Zurich (2015) in Information Technology and Electrical Engineering, following degrees from University of Belgrade (BEng, 2009) and ETH Zurich (MEng, 2011). His research focuses on adaptive control systems, machine learning applications in engineering, and sensorless motor control. Key contributions include: Development of predictive algorithms for traffic systems and industrial automation Innovations in rotor orientation determination for PMSM motors Integration of AI in fraud detection and building climate control Recent work includes a 2024 study on wearable health monitoring devices and a 2022 paper on drone forensics. He has authored/co-authored over 15 peer-reviewed articles and holds patents in motor control technologies. Current affiliations include Singidunum University's Department of Electrical Engineering and Collaboration with ETH Zurich alumni networks. Active in international conferences such as Sinteza and IEEE events.

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 .

Mohammad Monfaredمشاهده پروفایل

مدرس ارشد

• Power electronics
• Renewable energy systems
• Power quality
• +۴ مورد دیگر

Dr. Mohammad Monfared is a Senior Lecturer in the Department of Electronic and Electrical Engineering at Swansea University's School of Aerospace, Civil, Electrical and Mechanical Engineering within the Faculty of Science and Engineering. He joined Swansea University in 2022 after previously working at Ferdowsi University of Mashhad in Iran, where he received the Best Researcher Award in 2015. His academic journey began with a PhD in electrical engineering from Amirkabir University of Technology (Tehran Polytechnic) in 2010, which he completed with honors. Dr. Monfared's research focuses on the control and utilization of renewable energy generation systems and power electronics in the context of distributed generation, microgrids, and smart energy systems. His work is particularly relevant to Sustainable Development Goals 7 (Affordable and Clean Energy), 9 (Industry, Innovation and Infrastructure), 11 (Sustainable Cities and Communities), and 13 (Climate Action). He collaborates extensively with the Energy and Power Research Group (EPRG) at Swansea University, particularly with Dr. Meghdad Fazeli and Professor Mike Jennings, who holds a Royal Academy of Engineering Research Chair in 'Advanced Semiconductors for Electric Vehicles'. His research has practical applications and includes experimental verification in nearly all of his published works. Dr. Monfared's recent publications demonstrate a strong focus on power converter topologies, control strategies for renewable energy integration, and smart grid technologies. His work spans from high-boost impedance networks and DC-DC converters to grid-forming inverters and energy management systems. A notable trend in his research is the emphasis on practical implementation with experimental validation, bridging the gap between theoretical concepts and real-world applications in power electronics and renewable energy systems. Best Researcher Award from Ferdowsi University of Mashhad (2015) Department's Best Teacher Award at Swansea University (2023-24) Outstanding Reviewer Award for IEEE Transactions on Power Electronics (2023) IEEE Senior Member (2015) Dr. Monfared actively supervises PhD and MSc students, with current research projects focusing on gate-oxide reliability of wide bandgap power MOSFETs, single-phase PV-battery grid-forming inverters, and day-ahead PV generation forecasting. He collaborates with industry partners including National Grid, ABB, Siemens, and Vishay Intertechnologies on high-impact research projects. His future research direction involves establishing stronger industry collaborations to bridge the gap between academic innovation and real-world application, with a focus on advancing renewable energy technologies and power electronics for distributed generation and smart energy systems. Dr. Monfared also serves as an Associate Editor for both IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics, contributing to the scholarly community in his field.

David Stoneمشاهده پروفایل

استاد

• Power Electronics
• Energy Storage
• Renewable Energy Systems
• +۵ مورد دیگر

Professor David Stone is a faculty member in the School of Electrical and Electronic Engineering at the University of Sheffield, where he holds the position of Professor in Electrical Engineering and serves as Theme Lead for Electrical Machines. He earned his BEng (Hons) in Electronic Engineering from the University of Sheffield (1982–1985) and a PhD in Automatic Weld Penetration Control from Liverpool University (1989). Since joining the University of Sheffield in 1989, he has been affiliated with the Electrical Machines and Drives (EMD) Group, advancing to full professorship in 2013. His research focuses on power electronics , energy storage systems , and their applications in electric vehicles (EVs) and renewable energy integration . Notable work includes leading the CREESA initiative, which operates the UK's largest grid-connected lithium titanate battery storage system. Current projects explore hybrid energy storage, EV battery second-life applications, and high-frequency resonant converters for industrial heating. Research interests span: Simulation of energy systems and hybrid storage technologies Electric vehicle energy consumption modeling using dashcam telemetry Smart battery management for EVs and grid support High-efficiency wireless EV charging systems Advanced control strategies for power converters His publications (2020–2025) reflect contributions to: Energy storage system design and control Electric machine fault detection and diagnostics Grid integration of renewable energy sources Piezoelectric transformer-based power supplies Microgrid optimization with hybrid energy storage He collaborates with industry through initiatives like the EPSRC Prosperity Partnership in Offshore Wind and the TransEnergy project linking road-rail energy exchange. His work addresses challenges in sustainable energy systems and smart grid technologies.

• Electrical Machines
• Energy Conversion
• Permanent Magnet Motors
• +۳ مورد دیگر

Lale Tükenmez Ergene is a Professor at Istanbul Technical University 's Department of Electrical Engineering, specializing in Electrical Machines and Energy Conversion . Her work bridges theoretical research and practical applications in motor design for electric vehicles and home appliances. Ph.D. in Electrical Engineering from Rensselaer Polytechnic Institute 20+ years of academic and administrative leadership Focus areas: Permanent Magnet Motors, Synchronous Reluctance Motors, and Sensorless Control Systems Her research explores: Optimization of traction motors for electric vehicles Advanced sensorless control algorithms for motor drives Reduction of voltage distortion in high-performance motors Integration of predictive diagnostics in motor systems Applications of neurofuzzy control systems in multicopters Recent publications highlight trends in PMaSynRM parameter estimation , flux weakening capabilities , and real-time motor diagnostics . Her work spans both traditional electrical engineering and cross-disciplinary innovations like VR-based language learning systems for EU workforce mobility. Scientific recognition includes: Best Poster Paper Award (2016) 2nd Prize in Graduation Design Competition (2015) Doctoral Thesis Excellence Award (2015) She leads projects such as: Pmasynrm's Innovative Real-Time Model Diagnostic System (2021-2024) Sensorless Magnet-Supported Motor Drive for Washing Machines (2019-2022) VR-based Business English Training for Engineers (2018-2022)

Valentina Breschiمشاهده پروفایل

استادیار

• Data-driven control
• Control systems
• Machine learning
• +۵ مورد دیگر

Valentina Breschi is an Assistant Professor in the Control Systems Group at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e). She holds a Ph.D. from IMT School for Advanced Studies Lucca, with postdoctoral and junior faculty experience at Politecnico di Milano. Her research focuses on data-driven control, jump model learning, meta-learning for system identification, and human-centered policy design for mobility systems. She contributes to UN Sustainable Development Goals related to sustainable infrastructure and innovation. Education: B.Sc. in Electronic and Telecommunication Engineering (University of Florence, 2011) M.Sc. in Electrical and Automation Engineering (University of Florence, 2014) Ph.D. in Control Systems (IMT School for Advanced Studies Lucca, 2018) Research Interests: Her work spans data-driven control methodologies, including LPV control, predictive control, and ethical frameworks for policy design. She explores applications in sustainable mobility, energy systems, and healthcare, emphasizing fairness and social impact. Labs/Teams: She is part of the Control Systems Group, collaborating on projects like the CONSIDER study and the design of fair-MPC frameworks. Her work integrates theoretical control principles with real-world applications in smart systems and social networks.

• Electric Power Conversion
• Electromagnetic Devices
• Wireless Power Transfer
• +۲ مورد دیگر

Chi-Kwan Lee is a Professor at the University of Technology Sydney (UTS), School of Electrical and Data Engineering since 2024. Previously, he held roles including Associate Professor (2018-2023) and Assistant Professor (2012-2017) at the University of Hong Kong. He earned his B.Eng. and Ph.D. in Electronic Engineering from City University of Hong Kong (1999 and 2004). His research focuses on electric power conversion, electromagnetic devices, wireless power transfer, renewable energy, and smart grid technologies. He was a Visiting Researcher at Imperial College London (2010-2020). Research Highlights: Prof. Lee has pioneered advancements in wireless power transfer for medical devices (e.g., capsule endoscopy) and electric vehicles, with breakthroughs in efficiency optimization and misalignment mitigation. His work on hybrid stepper motor systems and magnetoresistive sensors addresses challenges in contactless actuation and high-voltage current sensing. Awards & Contributions: A Senior Member of IEEE and recipient of the 2015 IEEE Power Electronics Society Transactions First Prize Paper Award. He serves on IEEE PELS committees and editorial boards of key journals like IEEE Transactions on Power Electronics. Grants & Labs: Active in funded research projects related to wireless charging systems, smart grids, and renewable energy integration. His work spans academic collaborations, industry partnerships, and international conferences.

• Power Electronics
• Switch Mode Power Supplies
• Electromagnetic Compatibility (EMC)
• +۷ مورد دیگر

Jorma Kyyrä is a Professor at Aalto University's Department of Electrical Engineering and Automation. His primary research focuses on power electronics, wireless power transfer systems, and high-frequency converter design. He has contributed significantly to fields like switch mode power supplies, electromagnetic compatibility (EMC), and power factor correction. Key honors include the IEEE Education Society Chapter Achievement Award (2006) for Nordic Chapter. His work emphasizes practical applications in renewable energy integration, DC microgrids, and contactless charging systems. Recent research trends show strong focus on MHz-frequency wireless power transfer, model predictive control strategies for rectifiers, and high-efficiency DC-DC converter topologies. Publications span over 30 years, with notable contributions to the design of resonant converters, inductive power transfer systems, and energy storage solutions. Collaborative projects include investigations into multi-energy microgrids and adaptive control for industrial applications. His research often combines theoretical analysis with hardware implementation, evidenced by frequent conference participation at IEEE venues.

Marinko Sarunicمشاهده پروفایل

استاد مدعو

• Biomedical Imaging
• Optical Coherence Tomography
• Microscopy
• +۲ مورد دیگر

Marinko Sarunic is an Adjunct Professor at the School of Engineering Science , Simon Fraser University . He holds a PhD in Biomedical Engineering from Duke University and has been recognized as a Michael Smith Foundation for Health Research Scholar . His research focuses on biomedical imaging , particularly optical coherence tomography (OCT) , microscopy , and low-coherence interferometry , with applications in diabetic retinopathy , Alzheimer’s disease , and age-related macular degeneration . Dr. Sarunic's work spans adaptive optics , deep learning , and sensorless OCT systems , emphasizing clinical translation and open-source software development (e.g., OCTAVA ). His Google Scholar publications highlight multimodal imaging , vascular heterogeneity analysis , and AI-driven diagnostics for retinal diseases. His contributions include the Michael Smith Foundation for Health Research Scholar award. Though not currently teaching courses, his collaborations and leadership in retinal imaging and medical device innovation are pivotal for advancing non-invasive diagnostics in neurodegenerative and diabetic conditions .

Ian Brownمشاهده پروفایل

استاد

• Energy Conversion
• Electric Machines
• Adjustable Speed Drives
• +۶ مورد دیگر

Ian Brown is a Professor of Electrical and Computer Engineering at Illinois Institute of Technology, part of the Armour College of Engineering. He holds a Ph.D. (2009), M.S. (2003), and B.S. (1999) in Electrical and Computer Engineering from the University of Wisconsin-Madison and Swarthmore College. His research focuses on energy conversion, electric machines, and renewable energy systems, with emphasis on sensorless control, machine design optimization, and traction motor development for electric vehicles. He has extensive industry experience as a principal engineer at A.O. Smith, contributing to electric machine and drive technologies. Research interests include adjustable speed drives, high-power density motors, and applications in sustainable energy. He has advised multiple graduate students and published over 50 peer-reviewed articles in IEEE Transactions and conferences. His recent work explores superconducting circuit breakers, thermal management systems, and advanced winding designs to minimize harmonic distortions. Brown's contributions bridge academic research with industrial applications, particularly in improving energy efficiency and reliability in power conversion systems. He is affiliated with the IEEE and has contributed to journal editorials on electric machines in renewable energy. His lab focuses on experimental prototyping and simulation-driven optimization of electric drives. Current projects include developing brushless capacitive excitation systems for traction motors and analyzing driving cycle-based machine design optimization strategies. Teaching responsibilities include graduate courses on electric machines and power electronics. He maintains active collaborations with industry partners like A.O. Smith and Siemens, emphasizing translational research with commercialization potential.

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

Prof. Igor Krčmar is a full professor at the Faculty of Electrical Engineering of the University of Banja Luka, specializing in Automation and Robotics . He holds a position in the Department of Automation and teaches courses at both undergraduate and graduate levels. His research focuses on control systems, neural networks, electrical drives, and adaptive control methodologies. He has authored several textbooks including Upravljanje u realnom vremenu (Real-Time Control) and Senzori i Aktuatori (Sensors and Actuators). His recent work emphasizes sensorless motor control, PI controller optimization for industrial systems, and machine learning applications in occupancy estimation. Over 25 years, he has published extensively in journals like IEEE Transactions on Industrial Electronics and conferences such as INFOTEH-JAHORINA and IcETRAN. His work bridges theoretical advancements with practical implementations in industrial automation and energy efficiency. Key contributions include: Development of discrete rotor flux estimators for high-speed drives Adaptive neural control algorithms for nonlinear systems Integration of fuzzy logic with hydrodynamic process control Optimization of PMSM drives for energy efficiency He collaborates internationally on EU-funded projects and serves on editorial boards of electrical engineering journals.

• Electric Machines
• Permanent Magnet Motors
• Reluctance Motors
• +۷ مورد دیگر

Lale Ergene is a Professor in the Department of Electrical Engineering at Istanbul Technical University (ITU), College of Engineering. Her research focuses on advanced electric machine design and control systems for industrial and automotive applications. She is actively involved in motor drive innovation, particularly in permanent magnet and reluctance motor technologies. Research Interests: Dr. Ergene specializes in electric machines, with emphasis on Permanent Magnet Synchronous Motors (PMSM), Interior Permanent Magnet (IPM) motors, and Permanent Magnet Assisted Synchronous Reluctance Motors (PMaSynRM). Her work spans sensorless control, field weakening techniques, finite element analysis, and motor optimization for electric vehicles and home appliances. She applies intelligent control methods such as neuro-fuzzy systems and real-time diagnostics. Recent Research Trends: Her recent publications (2023–2024) show a strong focus on improving motor efficiency and control robustness, especially in EV traction systems and white goods. Key themes include voltage distortion reduction, flux weakening enhancement, real-time parameter estimation using FFT, and lean sensorless control at zero/low speeds. Her work bridges theoretical modeling with industrial applications. Scientific Awards: Best Poster Paper AWARD (2016) Graduation Design and Project Competition 2nd Prize (2015) ITU 2014 Best Doctoral Thesis Award (2015) Advising and Grants: Dr. Ergene has supervised or is currently supervising 25 theses, indicating a strong mentoring role. She has led multiple funded projects, including TÜBİTAK and ITU BAP grants, focusing on FPGA-based neural network control, three-level inverter design, real-time model diagnostics, and sensorless control for washing machines and EVs. Her projects demonstrate sustained research funding and applied engineering impact. Labs and Research Teams: While specific lab names are not mentioned, her projects imply leadership in a motor control and electric machines research group at ITU, likely involving FPGA, real-time simulation, and embedded control systems. Her collaborations with researchers like A.F. Ergenc, M. Yilmaz, and A. Tap suggest an active, multidisciplinary team focused on next-generation motor drives.

• Power Systems
• Power Electronics
• Smart Grid Security
• +۳ مورد دیگر

Mahmoud Amin is a Professor in the Department of Electrical & Computer Engineering at Manhattan College. He holds a Ph.D. from Florida International University and has over 70 publications in professional journals and conferences. His research focuses on power systems, smart grid security, and sustainable energy systems. He has secured grants totaling over $2 million, including the Intel FPGA University Program Grant and the Typhoon HIL award. He advises numerous students and leads research projects involving advanced power electronics and grid integration. Amin is a Senior Member of IEEE and active in multiple technical committees. Education: B.Sc. in Electrical Power & Machines Engineering, Helwan University (Cairo, Egypt) M.S. in Electrical Power & Machines Engineering, Helwan University Ph.D. in Electrical Engineering, Florida International University Research Interests: His work emphasizes power systems reliability, renewable energy integration, and advanced control techniques for sustainable energy applications. He has developed laboratory-scale testbeds for power electronics and smart grid research. His projects include hardware-in-loop realizations and cybersecurity mitigation strategies for smart grids. Grants & Awards: $2M grant for energy storage in renewable power systems (KSA Ministry of Education) $20K Typhoon HIL award for HIL402 emulator development Intel FPGA Grant ($8K, 2016) 7x24 University Challenge Award (2019) Professional Activities: Amin chairs Manhattan College's ABET committee and serves on editorial boards for IEEE Transactions. He advises student chapters of IEEE and robotics clubs. His leadership includes the NSF-funded Engineering Scholars Training and Retention (STAR) Center. Labs & Infrastructure: He oversees the power laboratory in Leo 305, equipped with advanced testbeds for power electronics and machine drives. Recent upgrades include $35K in equipment for experimental validation of smart grid technologies.

Vijay Soodمشاهده پروفایل

استاد

• Power Systems
• Smart Grid Technology
• High Voltage DC Transmission
• +۴ مورد دیگر

Dr. Vijay Sood is a Professor in the Department of Electrical, Computer and Software Engineering at Ontario Tech University's Faculty of Engineering and Applied Science. He is an industry pioneer with expertise in smart grid energy storage, power systems simulation, protection, and renewable energy integration. His research focuses on advancing HVDC transmission systems and grid resilience. Education: PhD in Power Electronics from Bradford University (1977), MASc in Electrical Machines from Strathclyde University (1969), and BSc in Electrical Engineering from Nairobi University (1967). Research Interests: Smart grid technology, high-voltage DC (HVDC) systems, power electronics, flexible AC transmission systems (FACTS), and energy storage solutions for grid stability. Notable Achievements: Fellow of the Canadian Academy of Engineers (2010), IEEE Fellow (2006), and Engineering Institute of Canada Fellow (1999). Recognized for contributions to HVDC and power system protection through awards like the IEEE Third Millennium Medal (2000). Affiliations: Professional Engineers Ontario, IEEE, and Canadian Academy of Engineers. Teaches courses including Power System Protection Relaying and Capstone Systems Design for Engineering. Publications and Talks: Over 20 technical papers since 2013, addressing HVDC modeling, grid stability, and smart metering. Presented at conferences such as IEEE PowerCon and International Conference on Power Systems Transients.

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

Mario Marchesoni is a Professor at the Department of Naval, Electrical, Electronics and Telecommunications Engineering (DITEN) , affiliated with the University of Genoa . His academic responsibilities include coordinating the PhD program and teaching advanced courses in electrical engineering with a focus on energy transition and industrial technologies. Ranks: Full Professor Departments: DITEN Research Interests center on power electronics, control systems, and energy conversion , addressing challenges in hybrid vehicles, induction motor drives, and energy storage systems. His work emphasizes improving efficiency and reliability in electrical systems through innovative control strategies and converter topologies. Recent Publications (2024) highlight advancements in DC-DC converters for hybrid vehicles , thermal management of high-power diodes , and sensorless control of induction motors . Key themes include dynamic performance optimization, sub-harmonic reduction, and hybrid energy storage solutions. Contact: Email mario.marchesoni@unige.it or phone +39 010 33 52183. Office hours by appointment at DITEN, via all'Opera Pia 11a, first floor, Genova.