جست‌وجوی استاد و پژوهشگر

Jurgen T. Kohlheppمشاهده پروفایل

استادیار

• (nano) magnetism
• spintronics
• surface science
• +۴ مورد دیگر

Jurgen T. Kohlhepp is an Assistant Professor in the Department of Applied Physics and Science Education at Eindhoven University of Technology (TU/e). He is currently affiliated with the Elementary Processes in Gas Discharges research group, having joined this group in September 2018 after previously working in the Physics of Nanostructures group. Dr. Kohlhepp obtained his MSc (Diplom Physiker) in Experimental Physics at Julius-Maximilians University Würzburg (Germany) in 1989 and earned his PhD in 1994 at Clausthal University of Technology (Germany) under the supervision of Prof. U. Gradmann. He served as a post-doctoral research associate at Philips Research Laboratories and at TU/e before becoming an Assistant Professor at TU/e in 1999. His research primarily focuses on (nano) magnetism, spintronics, surface science, and advanced preparation and characterization techniques for (nano) materials. He investigates structural, magnetic and electronic properties of thin metallic films and their epitaxial growth using molecular beam epitaxy and plasma sputter deposition under UHV conditions. His work includes studies of magnetic interlayer/interface exchange interactions and spin-polarized transport in metallic multilayer systems as well as organic material/metal, semiconductor/metal and oxide/metal hybrid systems. His research interests have recently expanded to plasma-science related topics. Analysis of Dr. Kohlhepp's recent publications reveals a strong focus on magnetic materials characterization, particularly using nuclear magnetic resonance techniques for Heusler compounds. His work spans fundamental physics of magnetization reversal mechanisms to practical applications in spintronics and magnetic memory devices. He has also contributed to physics education research, particularly in optics teaching methods. Dr. Kohlhepp has (co-)authored more than 100 peer-refereed research articles with over 4000 citations and an h-index of 35, demonstrating significant impact in his field. He teaches courses in Optics, Introduction to Quantum Physics, Condensed Matter, and Classical and Modern Physics. His research is conducted within the Elementary Processes in Gas Discharges group at TU/e, where he continues to investigate the fundamental properties of (nano-)materials and devices, with emphasis on well-defined model systems under controlled conditions.

• Battery Control Systems
• Electric Vehicles
• Automotive Aerodynamics
• +۸ مورد دیگر

Massimiliana Carello is an Associate Professor at the Polytechnic University of Turin's Department of Mechanical and Aerospace Engineering (DIMEAS). She serves as a Student Team Contact Person and member of academic commissions, focusing on sustainable mobility and advanced vehicle systems. Scientific Director of the National Technology Transfer Center for Sustainability (2023-2025) Teaches courses on electric/hybrid vehicles, battery systems, and automotive design Her research spans Battery Control Systems , Vehicle Dynamics , Lightweight Design , and Proton Exchange Membrane Fuel Cells , with 15+ recent publications in automotive engineering journals and conferences. She leads projects under PNRR Missione 4 and commercial contracts. Key scientific recognitions include the GWIIN Global Women Inventors Network (2017) and DISTI-TELPRESS Special Award (2011). Her team supervises PhD students in mechanical engineering related to electric mobility and sustainable technologies.

Scott Huxtableمشاهده پروفایل

دانشیار

• Nanotechnology
• Thermal Transport
• Thermoelectric Devices
• +۵ مورد دیگر

Scott Huxtable is an Associate Professor and Associate Department Head of Undergraduate Studies in the Department of Mechanical Engineering at Virginia Tech (College of Engineering). He also holds an affiliate membership in the Department of Engineering Science and Mechanics. His research focuses on micro-nano-scale thermal transport, sensors/actuators, nanoscale energy conversion (e.g., thermoelectric devices), and thermal management of electronic systems. He has been recognized with awards including the 2010 Virginia Tech Dean’s Award for Excellence in Teaching and the 2006 NSF CAREER Award. His work bridges fundamental materials science with applications in clean energy, electric vehicles, and energy harvesting. Education: Ph.D. (2002) and M.S. (1999) in Mechanical Engineering from UC Berkeley, and B.S. (1997) in Mechanical Engineering from Bucknell University. Research interests emphasize nanotechnology-driven solutions for energy systems, including thermoelectric materials, thermal management in electronics, and bio-inspired multifunctional materials. His pedagogical work explores innovative educational tools to enhance engineering concept comprehension through virtual and hands-on learning environments. His publications span over two decades, with recent trends focusing on advanced materials characterization, automotive energy efficiency, and thermoelectric waste heat recovery systems. He has collaborated on projects funded by NSF and DOE, advancing scalable thermoelectric technologies for vehicle applications. Awards also include Virginia Tech College of Engineering’s Outstanding New Assistant Professor and Certificate of Teaching Excellence, reflecting his dual commitment to research and education.

Netta Gurariمشاهده پروفایل

استادیار

• Biomechanics
• Neuroengineering
• Stroke Rehabilitation
• +۵ مورد دیگر

Dr. Netta Gurari is an Assistant Professor at Virginia Tech's College of Engineering, Department of Biomedical Engineering and Mechanics. Her lab, Robotics & Sensorimotor Control Lab, focuses on understanding somatosensory signal processing in individuals with neurological injuries such as stroke, using robotics, psychophysics, and neuroimaging. She holds a PhD from Johns Hopkins University and has received significant funding, including a 5-year NIH Career Development Award. Education: Ph.D. in Mechanical Engineering (Johns Hopkins, 2010), M.S.E. Mechanical Engineering (Johns Hopkins, 2007), B.S.E. Mechanical Engineering & Applied Mechanics (University of Pennsylvania, 2004). Research Interests: Stroke rehabilitation, sensory perception deficits, neuroengineering, and development of tactile stimulation devices. Her work bridges robotics, neuroscience, and clinical applications to improve rehabilitation strategies for stroke survivors. Awards: Karl Rosengren Faculty Mentoring Award (2020), NIH Career Development Award (2018–2023), TIGRR Travel Award (2022). Labs/Teams: Leads a multidisciplinary team investigating tactile perception post-stroke, collaborating with institutions like Radford University and Shirley Ryan AbilityLab. Current projects include an MRI-compatible tactile stimulator and a Southwest Virginia Stroke Registry. Students/Grants: Mentored over 15 undergraduate researchers and secured $80k+ in grants. Lab alumni include Dr. May Cai (Data Scientist) and Ben Wilkinson (PhD candidate).

• Orthodontics
• Craniofacial Biology
• 3D Treatment Planning
• +۱ مورد دیگر

Richard Scott Conley is Associate Professor and Program Director for Graduate Orthodontics at Indiana University School of Dentistry. His clinical expertise encompasses orthognathic surgery planning, airway management, and complex malocclusion correction using advanced 3D technologies. Research investigates orthodontic biomechanics, aligner technology efficacy, and interdisciplinary management of craniofacial anomalies. Recent publications focus on optimizing attachment design for aligner therapy and AI applications in treatment planning. Article analyses reveal consistent themes in orthodontic biomechanics, surgical planning, and technological innovations in dentistry. Keywords predominantly include Orthodontics, Biomechanics, and Treatment Planning.

Kyungwha Parkمشاهده پروفایل

استاد

• Theoretical Condensed Matter Physics
• Quantum Materials
• Topological Insulators
• +۴ مورد دیگر

Kyungwha Park is a Professor in the Department of Physics at Virginia Tech, specializing in Theoretical Condensed Matter Physics. Her research focuses on quantum materials, topological insulators, superconductivity, and first-principles calculations. She holds a Ph.D. from Princeton University and is affiliated with the College of Science. Her work explores electronic structure, spin dynamics, and topological phenomena in novel materials. Recent studies include magnetic impurities on superconductors, hydrogenation effects in antiferromagnets, and quantum information science using single-molecule magnets. She uses advanced computational methods like self-interaction corrected density-functional theory and multiscale modeling. Key contributions involve engineering topological phases via chemical modifications, understanding proximity effects in heterostructures, and designing quantum devices. Her research bridges fundamental physics with applications in spintronics and quantum computing.

George Papafotiouمشاهده پروفایل

استاد

• Power Electronics
• Model Predictive Control (MPC)
• Renewable Energy Systems
• +۳ مورد دیگر

George Papafotiou is a Full Professor in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e) and Head of the Power Electronics Lab. His research focuses on computational intelligence, particularly Model Predictive Control (MPC), applied to power electronics systems for applications in renewable energy, high-efficiency power conversion, and grid integration. He holds affiliations with the EIRES Research Institute and the Cyber-Physical Systems Center in Eindhoven. Academic Background: Papafotiou earned his PhD in Electrical Engineering from Aristotle University of Thessaloniki (2002) and completed a postdoc at ETH Zurich (Switzerland). He spent 15 years at ABB in roles including Scientist, Global R&D Manager for SW/Control HW, and Quality Manager, leading projects on MPC-based control systems for industrial drives and energy management. Research Interests: His work centers on advancing power electronics through MPC for microsecond-scale control, enabling reliable systems critical to a carbon-free future. Key areas include modular multilevel converters (MMCs), soft-switching techniques, grid-tied power electronics, and harmonics mitigation in high-voltage systems. Projects: Current projects include RelSST: Developing reliable solid-state transformers for smart grids. HiVECAF: Designing versatile, efficient active filters for power quality improvement. Teaching: He teaches Electric Circuits Analysis for Energy Conversion Electric Drive Systems Grants & Labs: Leads the Power Electronics Lab, focusing on applied research in sustainable energy systems and industrial automation.

• Control Systems
• Fault Detection and Isolation (FDI)
• Electric Drives and Electromechanical Systems
• +۳ مورد دیگر

Sanja Antić, PhD , is an Associate Professor in the Department of Electrical Engineering at the Faculty of Technical Sciences Čačak , University of Kragujevac , Serbia. She has been a faculty member since 2001, teaching a broad range of control-systems and electrical-engineering courses. Education PhD in Electrical Engineering, Faculty of Electrical Engineering, University of Belgrade (2016) Dissertation: “Application of Model-Based Failure Detection Methods in Electro-Mechanical Systems” MSc in System Control, Faculty of Technical Sciences Čačak (2009) Thesis: “Simulation and Realization of Voltage-Current Control of a DC Micro Motor” Dipl. Ing. in Industrial Power Engineering, Faculty of Technical Sciences Čačak (2000) Thesis: “Application of Fuzzy Logic in Estimating the Dynamic Model of a DC Motor” Research Interests Her research centres on model-based fault detection and isolation (FDI) for electromechanical systems, with particular emphasis on permanent-magnet DC motors and their associated power-electronic amplifiers. She develops structured and directional residual techniques combined with parameter-estimation algorithms to detect actuator, sensor and multiplicative faults. Additional interests include energy-efficient electric drives , digital control systems , torque-ripple reduction in induction motor drives , and the creation of remote and virtual laboratories for engineering education. Scientific Awards & Recognition “Vuk Karadžić” diploma for exceptional academic performance (primary & secondary school) Top graduate of the 1999/2000 academic year, Faculty of Technical Sciences Čačak Projects & Funding Principal Investigator, Serbian Ministry of Education project “Modernisation of three compulsory courses in Electrical Machines 2, Automatic Control and Electric Drives” (2020-2021) Team member, TEMPUS project “Building Network of Remote Labs for strengthening university-secondary vocational schools collaboration” (2013-2016) Participated in national technological-development projects on energy efficiency of electric motor drives (2011-2014) and prototype development of a 4-axis CNC welding machine (2011-2012) Teaching & Educational Contributions Dr Antić has designed and delivered courses in Automatic Control , Digital Control Systems , Control of Electromotive Drives , Fundamentals of Electrical Engineering and Electric Drives . She co-authored three textbooks and numerous workbooks and practicums that integrate remote-experiment platforms, thereby fostering hands-on learning aligned with Industry 4.0 concepts.

• Robotics
• Motion Control
• Physical Human-Robot Interaction
• +۳ مورد دیگر

Professor Erik Kyrkjebø is a robotics scholar at the Western Norway University of Applied Sciences (HVL), leading the Robotics research group. He holds a PhD (2007) and Master's (2000) from NTNU, and a Bachelor's (1998) from Sogn og Fjordane University College. His research focuses on physical Human-Robot Interaction, cooperative control, and student-active online learning. He has led major projects like the 4.5 M€ Teknoløft initiative to boost regional research in robotics and big data. Key roles include PI of projects such as CoBotAGV and RobotHandleS, and board memberships in regional innovation bodies. His education history spans foundational degrees in engineering cybernetics and control engineering. Recent projects emphasize industrial collaboration, including robotic solutions for surgical instruments and raspberry production systems. Awards include a Marie Curie Fellowship (2005). He has supervised numerous PhD and master’s students, focusing on topics like rehabilitation robotics and human-robot cooperation. Research interests span motion control, robotics for medical applications, and educational technology. He teaches advanced robotics courses and contributes to interdisciplinary initiatives like the HVL Robotics Lab. His work bridges academia and industry through projects with partners like ABB, Statoil, and hospitals.

• Telecommunications
• Information Theory and Coding
• Metamaterials
• +۷ مورد دیگر

Maria Kovaci is a Senior Lecturer at the Department of Communications, Faculty of Electronics and Telecommunications, Politehnica University of Timisoara. She has been affiliated with the university since 1999, holding roles as preparator (1999–2002), assistant (2002–2013), and currently serving as Șef de lucrări (Head of Works) since 2013. Her PhD in 2009, supervised by Prof. Miranda Naforniță, focused on improving turbo code performance in flat fading channels. Educations: PhD in Electronics and Telecommunications (2009), Politehnica University of Timisoara Key Research Areas: Turbo coding, metamaterials, supercapacitors, spintronics, wireless communications, and information theory Her research emphasizes optimizing communication systems through advanced coding techniques and material science innovations. Notable contributions include interleaver design for turbo codes, supercapacitor material optimization, and multiferroic nanocomposite studies. Over 50 peer-reviewed papers and four co-authored books reflect her expertise in telecommunications and materials engineering. Recent articles (2023–2024) explore supercapacitor energy density and conductive polymer coatings, while earlier work (2015–2020) addresses turbo coding performance in fading channels and metamaterial applications. She has received awards including the 2013 Excellence Award at IManE Conference and 2005 Dean’s Excellence Diploma. Grants: Postdoctoral funding via POSDRU/159/1.5/S/137070 (2014) Advising: Supervised diploma project on WIMAX routing protocols (student: Savastre Dorian, 2018) Administrative roles include organizing International Symposium of Electronics and Telecommunications (ISETC), serving as Chair (2014), and editorial work for the Scientific Bulletin (UPT). She is also an active reviewer for IEEE conferences and journals since 2002.

Fabrizio Sergiمشاهده پروفایل

دانشیار

• Biomechanical Engineering
• Robotics
• Neural Control of Movements
• +۴ مورد دیگر

Fabrizio Sergi is an Associate Professor in the Department of Mechanical Engineering at the University of Delaware, with joint appointments in the Biomedical Engineering Department and the Biomechanics and Movement Science Program. He leads the Human Robotics Lab and focuses on rehabilitation robotics, neural control of movements, and functional neuroimaging. Sergi holds a PhD, MS, and BS in Biomedical Engineering from Università Campus Bio-Medico di Roma. His research explores robotic tools to study motor control in healthy and post-stroke individuals, with a focus on MRI-compatible robots and functional magnetic resonance imaging (fMRI). He has secured grants from NIH, NSF, and AHA, including the NSF CAREER Award (2020) and AHA Scientist Development Grant (2017). His work includes developing protocols for studying brainstem contributions to motor responses and creating exoskeletons for gait assistance. Sergi’s research bridges robotics, biomechanics, and neuroscience, aiming to improve stroke recovery and neuromotor adaptation. His lab develops advanced technologies like Multi-Muscle Magnetic Resonance Elastography (MM-MRE) to non-invasively measure muscle forces and investigate neural substrates of motor control. He also studies adaptive control strategies for exoskeletons and the effects of torque assistance on walking mechanics. Key achievements include pioneering MRI-compatible robotic systems and identifying neural correlates of motor recovery. Current projects focus on optimizing robotic training protocols and understanding how proprioceptive feedback influences rehabilitation outcomes.

Guang-Jin Liمشاهده پروفایل

استاد

• Electrical Machines Design
• Renewable Energy Systems
• Electric Vehicles and Hybrid Technologies
• +۵ مورد دیگر

Professor Guang-Jin Li holds the position of Professor in Electrical Machines at the University of Sheffield's School of Electrical and Electronic Engineering. He leads the Electrical Machines and Drives Research Group, focusing on advanced electrical machine design for renewable energy and electric/hybrid vehicle applications. His research emphasizes fault tolerance, thermal management, and high-efficiency machine configurations. Education: BEng in Electrical Engineering, Wuhan University (2007) MSc in Electric Power Systems, Université de Paris XI (2008) PhD in Electrical Engineering, École Normale Supérieure de Cachan (2011) Research interests include novel permanent magnet machines, switched reluctance machines, fault diagnostics (e.g., inter-turn short-circuits), and thermal cooling strategies for offshore wind and EV applications. His work bridges academic innovation with industry collaboration, notably with Siemens-Gamesa and CRRC. Grants and Projects: EPSRC funding for advanced thermomagnetic cooling (2020–2022) Offshore Renewable Catapult grant for wind turbine powertrain research (2019–2027) Innovate UK projects on low-carbon vehicle inverters and power tool motors Labs/Teams: Active in the EPSRC Centre for Doctoral Training in Offshore Wind Energy and the Siemens Wind Power Prosperity Partnership. Supervises research in modular machines, ferrofluid cooling, and fault-tolerant designs.

David A. Shermanمشاهده پروفایل

استادیار

• Movement Neuroscience
• Sensorimotor Physiology
• Clinical Research
• +۳ مورد دیگر

David A. Sherman is an Assistant Professor with a joint appointment at Northeastern University’s Bouvé College of Health Sciences (Department of Physical Therapy, Movement, and Rehabilitation Sciences) and College of Engineering (Department of Electrical and Computer Engineering). He earned his DPT (2014) and BS in Athletic Training (Boston University) and a PhD in Exercise Science (University of Toledo, 2022), followed by postdoctoral training at Harvard and Boston University School of Medicine. His research focuses on movement neuroscience, sensorimotor physiology, and clinical rehabilitation, particularly investigating chronic pain and motor impairments in orthopedic populations. He develops wearable sensor technologies and neuromodulation strategies to enhance rehabilitation outcomes, emphasizing interdisciplinary approaches combining engineering and clinical practice. Recent work explores ACL reconstruction recovery, muscle inhibition mechanisms, and innovative rehabilitation tools like the Torqlab platform. His publications span 20+ peer-reviewed articles (2020–2025), addressing topics such as corticospinal excitability, torque steadiness metrics, and systemic reviews of force control post-injury. Sherman collaborates with academic and clinical networks to advance translational research, aiming to bridge gaps between neuroscience insights and practical rehabilitation solutions.

• Control engineering, mechatronics and robotics
• Electrical engineering
• Electronics, sensors and digital hardware
• +۶ مورد دیگر

Marc Bodson is a Professor of Electrical & Computer Engineering at the University of Utah, Salt Lake City. He holds a PhD in Electrical Engineering and Computer Science from the University of California, Berkeley, and has served as Chair of the Department of Electrical & Computer Engineering from 2003 to 2009. His research focuses on adaptive control with applications to electromechanical systems and aerospace, including work on doubly-fed induction machines and hybrid-electric propulsion systems. Education: Ph.D., Electrical Engineering and Computer Science, UC Berkeley (1986) M.S., Electrical Engineering and Computer Science, MIT (1982) M.S., Aeronautics and Astronautics, MIT (1982) Ingénieur Civil Mécanicien et Electricien, Université Libre de Bruxelles (1980) Research Interests: Adaptive control for electric motors and generators Control systems for hybrid-electric propulsion Stability and robustness analysis of power systems Complex-variable representation for control design Key Contributions: Developed control algorithms for doubly-fed induction generators (DFIGs) and motors, explored voltage and current control strategies for power converters, and contributed to mitigating sub-synchronous resonances in power grids. His work emphasizes practical implementations validated through experiments and simulations. Awards: IEEE Fellow (2006) AIAA Associate Fellow (2013) Utah Engineers Council Engineering Educator of the Year (2006) Life Fellow, IEEE (2023) Grant-funded projects include the W M Keck Foundation Award (2019-2022) and a Power Systems Program consortium grant (2008-2017). He has taught courses on electric generators, motor control, and power systems, emphasizing practical and theoretical integration. His editorial roles include Editor-in-Chief of the IEEE Transactions on Control Systems Technology (2000-2003).

• Astrophysics
• High-energy Astrophysics
• Relativistic Astrophysics
• +۸ مورد دیگر

Frederick Lamb is a Research Professor of Physics at the University of Illinois Urbana-Champaign, with a distinguished career spanning astrophysics and international security. He holds the Brand and Monica Fortner Endowed Chair of Theoretical Astrophysics Emeritus and is a core faculty member in the Program in Arms Control and Domestic & International Security since 1982. Lamb earned his B.S. in Physics from Caltech (1967) and D.Phil. in Theoretical Physics from Oxford University (1970), where he was a Marshall Scholar. His research focuses on astrophysics , particularly neutron stars , black holes , and high-energy phenomena , using data from NASA missions like NICER and the defunct Rossi X-ray Timing Explorer . He developed foundational theories for X-ray pulsar modeling and boost-phase missile defense analysis. His work bridges relativistic astrophysics with national security studies. Recent publications (2018-2024) analyze neutron star interiors via X-ray timing , equation of state modeling, and NICER mission data, alongside arms control and missile defense policy reports. Lamb's scientific awards include the 2022 Bruno Rossi Prize , 2021 Five Sigma Physicist Award , and 2005 Leo Szilard Award . He contributes to public education through lectures and courses like 'Nuclear Weapons, Nuclear War, and Arms Control' since 1981.