جستجوی استاد راهنمای دانشگاهی

Professor Periklis Petropoulos is a Deputy Director at the Optoelectronic Research Centre (ORC), University of Southampton . His research focuses on Optical Communications , All-Optical Signal Processing , and Novel Fibre and Waveguide Technologies . He leads the Optical Fibre Communications Research Group and serves as Editor-in-Chief of IET Optoelectronics . Education: BSc in Electrical Engineering and Information Technology from University of Patras MSc in Communications Engineering from University of Manchester Institute of Science and Technology PhD in Optical Telecommunications from University of Southampton's ORC His work spans nonlinear photonics , integrated photonic circuits , and next-generation fiber communication systems . Current projects include EPSRC Programme Grant Airguide Photonics and the UK's National Dark Fibre Facility . Research themes include silicon nitride photonics , power-efficient multicore fiber amplifiers , and all-optical signal processing . His supervised projects demonstrate intermodal four-wave mixing for broadband wavelength conversion, energy-efficient fiber components , and hybrid optical transmission systems (including Power Over Fiber and Radio Over Fiber). He has secured over £33M in research funding from EPSRC , European Union , and industry partners. External roles include: Editor-in-Chief of IET Optoelectronics (2019–present) Speaker at international conferences (2022–2024) on topics like grating couplers , silicon nitride integration , and SDM amplifiers He leads Telecommunications Systems Lab and has published >570 papers across leading journals and conferences like ECOC and OFC . He has supervised 17 PhD students to completion.

• Optical Communications
• All-Optical Signal Processing
• Novel Fibre and Waveguide Technologies
• +۳ مورد دیگر

Igor Simone Stievano is a Full Professor at the Polytechnic University of Turin , affiliated with the Department of Electronics and Telecommunications (DET) and the Interdepartmental Center Ec-L - Energy Center Lab . He holds a PhD in Electrical Engineering and has supervised numerous students in disciplines spanning electromagnetic compatibility, machine learning, and multi-energy networks. His research interests include: Modeling and simulation of integrated circuits Machine learning for signal integrity Multi-energy network resilience Stochastic analysis of electrical systems Electromagnetic compatibility Key projects include the EU-funded SHIMMER initiative on hydrogen injection in gas networks and commercial contracts for high-speed I/O macromodeling. He serves as a chair and committee member at major conferences like the IEEE Workshop on Signal and Power Integrity. Scientific recognitions : IEEE Senior Member Recipient of the 2013 Futuro in Ricerca grant Editorial Board member of ENERGIES (2020-) Stievano actively participates in PhD college evaluations for Mathematical Sciences and Metrology programs at Politecnico di Torino, while teaching courses in Electrical Engineering and Digital Technologies across biomedical, computer, and media engineering curricula.

• Electrical Engineering
• Modeling and Simulation
• Machine Learning
• +۵ مورد دیگر

David Macii is Associate Professor at the Department of Industrial Engineering, University of Trento, Italy, where he teaches "Digital Signal Processing for Mechatronics" and co-leads the "Laboratory of Internet of Things." His core expertise lies in digital signal processing, measurement science, smart-grid instrumentation, indoor positioning and industrial IoT applications. Research interests revolve around four pillars: (i) advanced estimation algorithms for frequency, ROCOF and synchrophasors to enhance power-quality monitoring in future smart-grids with high PV and EV penetration; (ii) design and metrological characterisation of low-cost PMU and smart-meter solutions; (iii) radar- and RFID-based indoor localisation and tracking for robotics and assisted-living scenarios; and (iv) embedded, IoT-enabled measurement systems bridging DSP, mechatronics and industrial electronics. Recent publications (2023-2025) reveal a clear methodological trend: development of fast, uncertainty-aware DSP algorithms (interpolated DFT, Kalman filtering, harmonic whitening) validated against real-world noise, interference and contingency conditions, followed by their embedding into resource-constrained hardware platforms for EV charging coordination, grid-support converters and robotic navigation. Although the supplied text does not list specific grants or doctoral students, the steady stream of joint publications with European colleagues and his leading teaching role in two inter-departmental master courses indicate an active, well-integrated research and educational profile within the University of Trento.

• Digital signal processing
• Smart grids
• Measurement systems
• +۵ 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 .

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

Marek Miśkowicz serves as a Professor at the Department of Metrology and Electronics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His primary institutional contact is miskow@agh.edu.pl, with physical location in building B-1, room 212. His research spans signal processing, biomedical engineering, and electronics, specializing in event-based sampling methodologies, time-to-digital conversion techniques, and reconstruction of bandlimited signals from nonuniform samples. Key contributions include QRS detection algorithms for ECG monitoring, POCS-based reconstruction frameworks, and event-driven control systems for industrial IoT applications. His work emphasizes resource efficiency in embedded systems and mobile health monitoring through approximate computing and adaptive sampling strategies. Recent publications (2022-2025) demonstrate consistent focus on signal reconstruction from irregular samples, with growing emphasis on spiking neural networks for event classification and industrial IoT optimization. Biomedical applications (particularly ECG analysis) and industrial control systems represent dominant application domains, while methodological innovations center on iterative reconstruction algorithms and temporal accuracy evaluation in noisy environments. No scientific awards were referenced in the source materials. No information regarding student advising or research grants was available in the provided documentation. The source texts contained no details about laboratory facilities, research teams, or collaborative groups associated with Professor Miśkowicz.

• Signal Processing
• Electronics
• Biomedical Engineering
• +۵ مورد دیگر

Shuo Sean Pang is an Associate Professor at CREOL, the College of Optics and Photonics at the University of Central Florida. He holds a Ph.D. in Electrical Engineering from Caltech and conducted postdoctoral research at Duke University. His work focuses on computational imaging systems, AI-driven optical design, and optoelectronic systems for sensing, imaging, and computing applications. Education Ph.D. Electrical Engineering, California Institute of Technology M.S. Biomedical Engineering, Texas A&M University B.S. Optical Engineering, Tsinghua University Research Interests Dr. Pang’s lab explores computational imaging methods , AI optimization for optical systems , photonic signal processing , and optical design modeling . Current projects include developing photonic integrated circuits for matrix operations, floating-point photonic solvers, and AI-driven photonics design frameworks. Recent Research Trends His 2023–2024 publications emphasize photonic arithmetic hardware (e.g., floating-point multipliers and iterative solvers) and AI-driven photonics (inverse design, variational networks). He has demonstrated fiber-optic computing systems and photonic encoders for high-speed imaging processing. Awards 2019 Excellence in Undergraduate Teaching Award (UCF) 2017 SPIE DCS Rising Researcher Award 2016 Ralph E. Powe Junior Faculty Award Advising & Grants Current advisees include Ph.D. students Andrew Klein (optical iterative solvers), Xichen Shan (imaging systems), and Steven Silverio. He has mentored alumni Zheyuan Zhu (2020) and Yangyang Sun (2019). Research funding has supported his work on photonics-AI integration and low-power optical systems. Labs & Teams He leads the Optical Imaging System Laboratory , which develops next-generation photonic hardware and imaging algorithms. Collaborations include Duke University and Texas A&M, with cross-disciplinary efforts in biomedical optics and computational photonics.

• Computational Imaging
• Optical Signal Processing
• AI in Photonics
• +۳ مورد دیگر

Christopher Vogel is a Research Fellow at New College and a Senior Research Associate in the Department of Engineering Science at the University of Oxford. He holds a first-class BE(Hons) in Engineering Science from the University of Auckland and completed his DPhil at Oxford under the Oxford Martin School’s Programme on Globalising Tidal Power Generation. His work focuses on advancing renewable energy technologies, particularly in tidal and wind energy systems. His research interests include fluid dynamics of tidal turbines, aerodynamic performance optimization, blade design under erosion, and large-scale renewable energy array modeling. He has contributed to projects like the Tidal Energy Research Group and the FastBlade facility for full-scale tidal blade testing. Vogel’s work integrates computational fluid dynamics (CFD), experimental testing, and multi-scale analytical models to address challenges in energy extraction efficiency, structural durability, and system reliability. Recent publications highlight advancements in actuator line methods for turbine wake prediction, uncertainty quantification in blade-element momentum theory, and dynamic loading analysis of tidal arrays. His studies often bridge theory and application, emphasizing practical solutions for marine and wind energy deployments. Collaborations include the Tidal Benchmarking Project and investigations into hybrid systems combining wave energy converters with breakwaters. Vogel’s interdisciplinary approach addresses both technical and environmental dimensions of sustainable energy systems.

• Renewable Energy
• Fluid Dynamics
• Turbine Design
• +۳ مورد دیگر

Professor Christopher Crabtree is a faculty member in the Department of Engineering at Durham University , specializing in offshore wind energy systems and electrical machine reliability. His work bridges engineering practices with renewable energy innovation, focusing on condition monitoring and operational optimization for wind turbines. Durham Energy Institute (DEI) Centre for Renewable Energy Institute of Advanced Study (IAS) Research interests include offshore wind farm infrastructure planning , non-contact torque measurement , and power converter reliability under variable wind conditions . His recent work explores data-driven models for wind turbine diagnostics and probabilistic forecasting techniques. Key collaborations appear with researchers like Dr. Behzad Kazemtabrizi, Dr. Xiang Li, and Dr. Carlos David Pina-Gongora. Projects often intersect with renewable energy policy and industrial automation frameworks.

• Offshore wind energy
• Condition monitoring
• Reliability engineering
• +۵ مورد دیگر

Danesh Tafti is the William S. Cross Professor and Associate Department Head for Graduate Studies in the Department of Mechanical Engineering at Virginia Tech. He holds a PhD from Pennsylvania State University (1989) and has held roles at institutions including the University of Illinois at Urbana-Champaign and West Virginia Institute of Technology. His research focuses on computational fluid dynamics (CFD) and heat transfer, with applications in gas turbines, biomedical systems, and renewable energy. Key research areas include turbulence modeling, fluid-structure interaction, and biofluid mechanics, leveraging high-performance computing. His work spans aerodynamics of flapping flight, cardiovascular flows, and particle-laden flows. Tafti leads the High Performance Computational Fluid-Thermal Science and Engineering Lab, developing tools like GenIDLEST software for complex fluid-thermal systems analysis. Education: PhD (Penn State, 1989), MS (Texas Tech, 1983), BE (Bombay University, 1980) Awards: ASME Fellow (2014), Virginia Tech Dean’s Research Award (2012) Labs: High Performance Computational Fluid-Thermal Science and Engineering Lab Publications emphasize CFD advancements, machine learning integration, and multiphase flow modeling. Tafti’s work bridges computational methods with real-world applications in energy systems, aerospace, and biomedicine.

• Computational Fluid Dynamics
• Fluid Mechanics
• Heat Transfer
• +۷ مورد دیگر

Professor Vishal Saxena is a faculty member in the Department of Electrical and Computer Engineering at the University of Delaware since 2019. Previously, he held positions at Boise State University (2010–2016) as Assistant and Associate Professor, and served as the Micron Endowed Professor of Microelectronics at the University of Idaho (2016–2019). His research focuses on analog electronic and photonic integrated circuits (ICs), particularly in sustaining IC design advancements post-Moore scaling through hybrid CMOS-photonic integration, neuromorphic computing, and energy-efficient embedded intelligence. Dr. Saxena earned his B.Tech. in Electrical Engineering from IIT Madras (2002), followed by M.S. and Ph.D. in Electrical and Computer Engineering from Boise State University (2007–2010). He has industry experience in semiconductor and telecommunication engineering. His work is supported by NSF, AFOSR, DARPA, NASA, and industry collaborators. Notable awards include the NSF CAREER (2015), AFOSR YIP (2016), and DARPA YFA (2019). His research interests span silicon photonic ICs for optical interconnects, RF photonic systems, neuromorphic circuits using emerging NVM devices, and high-speed analog-to-digital converters. He has pioneered compact modeling techniques for photonic components and developed energy-efficient architectures for spiking neural networks. Dr. Saxena’s publications reflect advancements in photonic integration, neuromorphic hardware, and mixed-signal IC design. He actively contributes to the IEEE community through editorial roles and conference steering committees, including MWSCAS and ISCAS.

• Silicon Photonic Integrated Circuits
• Neuromorphic Computing
• CMOS Electronics
• +۳ مورد دیگر

Igor Bargatin is an Assistant Professor of Mechanical Engineering and Applied Mechanics at the University of Pennsylvania's School of Engineering and Applied Science. His research focuses on micro- and nanoelectromechanical systems (MEMS/NEMS) for energy conversion, optics, and smart materials. He develops innovative devices such as thermionic energy converters and photophoretic flyers, leveraging interdisciplinary approaches across mechanical engineering, materials science, and applied physics. Research Interests: Photophoretic propulsion and near-space flight systems Ultralight robust materials (e.g., nanocardboard) Thermionic energy conversion and surface engineering MEMS/NEMS fabrication and microscale devices Key Contributions: Developed lightweight photophoretic flyers capable of carrying payloads in the mesosphere Pioneered tunable work function surfaces for high-efficiency thermionic converters Advanced mechanical metamaterials with unprecedented strength-to-weight ratios Awards & Grants: NSF CAREER Award (2019) for thermal transport research in metamaterials Labs & Affiliations: Center for Environmental Building & Design (collaborator) University of Pennsylvania Nanofabrication Facility

• MEMS/NEMS
• Energy Conversion
• Optics
• +۳ مورد دیگر

Dr. Sheldon Williamson is a Professor and NSERC Canada Research Chair in Electric Energy Storage Systems for Transportation Electrification at Ontario Tech University's Department of Electrical, Computer and Software Engineering, Faculty of Engineering and Applied Science. His research focuses on advanced energy storage technologies, power electronics, and their integration into transportation systems and smart grids. Education: Ph.D. (Electrical Engineering, Illinois Institute of Technology, 2006), M.S. (Electrical Engineering, Illinois Institute of Technology, 2002), B.E. (Electrical Engineering, University of Mumbai, 1999). Research Interests - Electric Energy Storage Systems for Transportation Electrification - Battery Management Systems (BMS) and Thermal Safety - Wireless Power Transfer and Charging Infrastructure - Cyber-Physical Security in EV Systems - Smart Grid Integration of Renewable Energy Publications : Over 50 peer-reviewed articles from 2021–2025, focusing on battery technologies, power electronics, and electrification challenges. Key themes include solid-state batteries, cloud-based BMS architectures, and dynamic wireless charging systems. No scientific awards explicitly listed in provided texts. Active in academic leadership and curriculum development within the department.

• Electric Energy Storage Systems
• Power Electronics
• Transportation Electrification
• +۴ مورد دیگر

Suleiman Sharkh is Professor of Electrical Machines and Drives at the University of Southampton within the Faculty of Engineering and Physical Sciences. His primary affiliation is with the Department of Electrical and Electronic Engineering, where he leads research in critical energy technologies. His work spans multiple interdisciplinary groups including Mechatronics Southampton, the Southampton Marine and Maritime Institute, Ocean Energy research, and Maritime Decarbonisation initiatives. Professor Sharkh's research focuses on electric machines, power electronics, and microgrids , with specialized expertise in battery management systems, energy harvesting, and electromagnetic field effects on aquatic life. His current projects investigate novel power electronic converters for grid-battery interfaces, hybrid dual-chemistry battery characterization, multi-degree-of-freedom actuators for vibration control, and electromagnetic guidance systems for fish migration. His work bridges theoretical innovation with commercial applications in marine propulsion, renewable energy integration, and electric vehicle infrastructure. Analysis of his recent publications reveals strong trends in electrification of marine systems (rim-driven thrusters, tidal turbines), advanced battery-grid interfaces (electrochemical impedance spectroscopy, hybrid chemistries), and bioelectromagnetic applications (fish behavior studies). His work consistently addresses real-world challenges in energy security, system reliability, and environmental sustainability through rigorous experimental validation. Scientific Awards The Engineer Energy Innovation and Technology Award (2008) for rim-driven marine thrusters Royal Academy of Engineering ExxonMobil Teaching Excellence Award (2013) Professor Sharkh actively supervises five PhD students while leading major research projects funded by EPSRC, Innovate UK, and industry partners. His current grants include the FEVER project on electric vehicle networks, Shark S research exchanges with China/India, and investigations into electromagnetic effects on eel migration. His laboratory work focuses on high-speed electrical machines, battery characterization rigs, and electromagnetic field exposure systems for biological studies. Future work emphasizes maritime decarbonization through integrated power electronics and machine design for zero-emission vessels.

• Electric Machines
• Power Electronics
• Microgrids
• +۴ مورد دیگر

Roberto Gaudino is a Full Professor at Politecnico di Torino, specializing in optical communications and high-speed fiber optic systems. He leads the PhotoNext Center, focusing on photonic technologies for ultra-high-speed networks and industrial sensors. His research spans optical access networks (FTTH), short-reach data centers, and innovative fiber sensing. He has coordinated major EU projects like FABULOUS, POF-ALL/PLUS, and contributed to ITU-T standards (e.g., NG-PON2). He is an Associate Editor for IEEE/OSA JOCN and serves on conference committees including ECOC and ICTON. Education: Laurea in Electronic Engineering (summa cum laude, Politecnico di Torino, 1993) and PhD in Optical Communications (Politecnico di Torino, 1998). Professional service includes roles as Telecommunication Program Coordinator and Vice-Dean of the PhD School in EE. He has authored over 280 papers (h-index 31) and holds several awards including OSA's Spotlight on Optics (2016). Research emphasizes experimental validation and theoretical models. Key projects include CISCO Photonics collaborations for data-center optics, TIM Labs for next-gen PON, and Georgia Tech's MOSAIC network testbed. He pioneered reflective PON architectures and silicon photonics integration, with applications in Fronthauling and vibration monitoring using deployed fibers. Key achievements: First SI-POF media converter prototype (POF-ALL), record ODN power budgets in reflective PONs (42 dB), and contributions to international standards. Current work focuses on coherent PON convergence, 100G+ transmission, and real-time disaster detection via fiber sensing. Grants and collaborations span EU projects, industry contracts, and standardization bodies. He actively mentors students in optical communications and advises on network planning tools for large-scale PON deployments.

• Optical Communications
• High-Speed Fiber Optics
• Optical Access Networks
• +۳ مورد دیگر

Dr. Xiu Yao is an Associate Professor in the Department of Electrical Engineering at the University at Buffalo (UB), School of Engineering and Applied Sciences. She joined UB in 2015 and has held positions such as a research engineer at the University of Dayton Research Institute and a research intern at ABB Corporate Research Center. Her research focuses on power electronics, microgrid control, high-voltage DC transmission, and DC arc fault detection. Dr. Yao has received the 2016 US Air Force Summer Faculty Fellowship award for her work at Wright-Patterson Air Force Base. Education includes a PhD in Electrical Engineering from The Ohio State University (2015), an MS from Xi'an Jiaotong University (2010), and a BS from the same institution (2007). Her work emphasizes practical applications like modular multilevel converters and fusion power plant systems. Recent publications highlight advancements in DC microgrid security, wide-bandgap semiconductor devices (e.g., Ga2O3), and fault detection algorithms. Her research trends reflect a strong focus on integrating cybersecurity into power systems, optimizing HVDC systems, and enhancing fault detection through machine learning and observers. Awards and honors underscore her contributions to defense-related power systems. While no grants are explicitly listed, her work aligns with high-impact areas like renewable energy integration and high-voltage engineering.

• Power Electronics
• Microgrid Control and Protection
• High Voltage DC Transmission
• +۳ مورد دیگر