جست‌وجوی استاد و پژوهشگر

Justin K S Yimمشاهده پروفایل

استادیار

• Robotics
• Legged Robots
• Bioinspired Robotics
• +۴ مورد دیگر

Justin K S Yim is an Assistant Professor in the Department of Mechanical Science and Engineering at the University of Illinois Urbana-Champaign with a secondary appointment at the Coordinated Science Lab. His research focuses on bioinspired robotics, particularly legged locomotion systems and dynamic balance control mechanisms derived from animal behavior. Education: Ph.D. in Electrical Engineering (awarded May 15, 2020) Dr. Yim's work centers on translating biological principles—especially squirrel locomotion—into robotic systems capable of complex maneuvers like branch-to-branch leaping and stable landings. His research integrates hardware design, control theory, and biomechanical analysis to address challenges in robot-environment interaction on non-rigid surfaces and complex terrains, with applications in search-and-rescue and construction robotics. Recent publications (2024-2025) reveal a cohesive research trajectory exploring monopedal jumping dynamics, squirrel-inspired balance control, and cooperative cable-driven manipulation. Key themes include state-space stability analysis, nonprehensile foot torque utilization, and programmable surface interactions, demonstrating interdisciplinary convergence of robotics, biomechanics, and materials science. Dr. Yim maintains active affiliation with the Coordinated Science Lab, a premier UIUC research hub fostering innovation in robotics, control systems, and autonomous technologies through cross-departmental collaboration.

Gabriella Pizzutoمشاهده پروفایل

مدرس

• Robotics
• Machine Learning
• Laboratory Automation
• +۵ مورد دیگر

Dr. Gabriella Pizzuto is a Lecturer in Robotics and Chemistry Automation at the University of Liverpool's Faculty of Science and Engineering, jointly appointed in the Departments of Computer Science and Chemistry. She leads the Pizzuto Group and joined the university in 2021 after completing her PhD at the University of Manchester. Born in Malta, she obtained her undergraduate degree from the University of Malta. Her research focuses on intelligent robotic systems for laboratory automation, specializing in: Contact-based robot skill learning for chemistry labs Failure recovery methods in experimental environments Safe human-robot collaboration frameworks Physics-constrained machine learning Machine vision for laboratory workflows Her work aims to develop robotic scientists that accelerate material discovery through autonomous experimentation. Publication analysis reveals strong emphasis on robotic manipulation (70%), laboratory automation (60%), and machine learning applications (40%), with recent work showing increased focus on multi-modal sensing and physics-informed learning. Her most frequent collaborators include Prof. Andy Cooper and Prof. Michael Mistry. Awards and Fellowships: Royal Academy of Engineering Research Fellowship (2023-2028) Marie Skłodowska-Curie Doctoral Scholarship EPSRC New Investigator Award (2025) Advising and Grants: Currently supervising 4 PhD students and 2 postdoctoral researchers Principal Investigator: £1.2M RAEng Fellowship for 'Upskilling Robotic Scientists' Co-Investigator: £12M EPSRC AI for Chemistry Hub (AIChemy) Lead Researcher: €8M ERC Synergy ADAM project Recipient of Google DeepMind Research Ready Grant (2024) Leads the Autonomous Robotic Chemistry Lab at Liverpool's Leverhulme Research Centre for Functional Materials. Her group combines expertise in robotics, computer science, chemistry, and engineering to develop next-generation robotic scientists.

• Legged locomotion
• Humanoid and quadrupedal robots
• Wearable robotics
• +۵ مورد دیگر

Yan Gu is an Associate Professor of Mechanical Engineering at Purdue University, located in West Lafayette, Indiana. He is affiliated with the School of Mechanical Engineering within the College of Engineering. His research focuses on legged locomotion, humanoid and quadrupedal robots, wearable robotics, hybrid dynamical systems, control systems, state estimation, and dynamics. He leads the TRACE Lab and has been recognized with prestigious awards including the NSF CAREER Award (2021) and multiple teaching accolades. Gu holds a Ph.D. from Purdue University (2017) and a B.S. from Zhejiang University, China (2011). His work emphasizes robust control strategies for legged robots in dynamic environments, including adaptive ankle torque control, time-varying foot-placement algorithms, and state estimation techniques for non-inertial surfaces. His recent publications explore multimodal datasets in animal-robot interaction and the stabilization of quadrupedal locomotion on accelerating platforms. His research has been supported through grants such as the NSF CAREER Award, and his contributions span both theoretical advancements in hybrid control systems and practical applications in wearable robotics and exoskeleton design. Gu’s TRACE Lab serves as a hub for innovative robotics research, addressing challenges in robot-environment interaction and dynamic stability.

Geoffrey S.D. Beachمشاهده پروفایل

استاد

• Spintronics
• Magnetic Materials
• Nanotechnology
• +۳ مورد دیگر

Geoffrey S.D. Beach is the Toyota Professor in Materials Processing and Professor of Materials Science and Engineering at MIT, and Co-director of the Materials Research Laboratory . His research focuses on spin dynamics, spintronics, and nanoscale magnetic materials, aiming to revolutionize data storage and computation through advanced instrumentation. Education: Bachelor of Science in Physics, California Institute of Technology (1997) PhD in Physics, University of California San Diego (2003) Research Interests: Professor Beach investigates the manipulation of magnetic properties using electric fields, voltage-controlled magnetic order, and the dynamics of skyrmions and domain walls. His work emphasizes materials like ferrimagnetic insulators and garnets, leveraging innovations in solid-state hydrogen gating and interfacial phenomena. Awards: Fellow, IEEE (2023) Junior Bose Award (2009) Labs & Teams: His lab, the Beach Group , develops cutting-edge optical and electrical tools to study magnetization dynamics at nanoscale. Key projects include voltage-gated optical devices and magneto-ionic control of magnetism. Grants & Collaborations: His work is supported by initiatives such as MIT’s Materials Research Laboratory and industry partnerships, though specific grants are not listed here.

Brandon Graingerمشاهده پروفایل

دانشیار

• Electric Power Conversion
• Medium- and High-Voltage Power Electronics
• HVDC & STATCOM Systems
• +۶ مورد دیگر

Dr Brandon M Grainger is an Eaton Faculty Fellow and Associate Professor of Electrical and Computer Engineering at the University of Pittsburgh’s Swanson School of Engineering, where he also directs the Electric Power Technologies Laboratory, serves as Associate Director of the Energy GRID Institute, and co-directs Pitt AMPED. A key architect of Pitt’s electric power program since 2008, he focuses on advanced power conversion, high-voltage electronics, wide-band-gap semiconductors, and aerospace power systems. Education PhD, Electrical Engineering (Power Conversion), University of Pittsburgh, 2014 MS, Electrical Engineering, University of Pittsburgh, 2011 BS, Mechanical Engineering & Minor in Electrical Engineering, University of Pittsburgh, 2007 Executive Education Certificate, Tepper School of Business, Carnegie Mellon University, 2019 Research Focus Dr Grainger’s work lies at the intersection of power electronics, high-voltage engineering, and sustainable energy systems. He specializes in medium- and high-voltage power electronics (HVDC, STATCOM), resonant converters, and ultra-high-power-density designs leveraging SiC and GaN semiconductors. His investigations extend to electric-vehicle traction drives, solid-state transformers, optimized magnetics for aerospace applications, and resilient microgrids. He and his students routinely collaborate with NASA JPL, Johns Hopkins APL, Honeywell Aerospace, and the Naval Research Laboratory, leveraging Pitt’s NSF SHREC center to push the boundaries of power conversion in space and defense systems. Selected Research Themes High-frequency, high-density DC/DC converters for satellite power systems Radiation-tolerant GaN converters and point-of-load power stages Medium-voltage testbed development (13.8 kV, 5 MVA) Rare-earth-free permanent-magnet machine topologies Model-predictive control of multi-phase drives and microgrids Honors & Awards 2024 IEEE Region 2 Outstanding Educator Award 2024 Pitt STRIVE Outstanding DEI Service Award 2019 ESWP Engineer of the Year 2019 ASEE 2nd Place Best Paper Award 2019 SRI Undergraduate Best Mentor Award Richard K. Mellon Endowed Graduate Fellowship National Academies of Science & Engineering Ambassador Senior Member, IEEE Grants & Industry Partnerships Dr Grainger’s research has been continuously funded by federal agencies and industry partners including NASA JPL, Johns Hopkins APL, Honeywell Aerospace, the Naval Research Laboratory, Eaton, and the National Science Foundation through the SHREC Center. These awards support graduate students and post-docs working on next-generation power systems for aerospace, naval, and terrestrial applications. Laboratories & Teams Director, Electric Power Technologies Laboratory (EPTL) Associate Director, Energy GRID Institute Co-Director, Pitt AMPED (Advanced Multimodal Power and Energy Development) Faculty Affiliate, NSF SHREC Center

Steve Collinsمشاهده پروفایل

دانشیار

• Biomechanics
• Robotics
• Prosthetics
• +۳ مورد دیگر

Steve Collins is an Associate Professor of Mechanical Engineering at Stanford University, with a courtesy appointment in the Department of Bioengineering. His research focuses on wearable robotics, biomechanics, and human-machine interaction. He leads projects on exoskeleton optimization, prosthetic design, and energy-efficient robotic actuators. His work aims to improve mobility for older adults and individuals with mobility impairments through innovative assistive technologies. Research Interests: Collins explores biomechanical principles underlying human movement, exoskeleton torque control strategies, and the design of devices that reduce metabolic costs during walking. His lab develops both hardware (e.g., exoskeleton emulators) and software (e.g., AddBiomechanics modeling tools) to advance assistive technologies. Key Contributions: He pioneered human-in-the-loop optimization methods for exoskeleton control, demonstrated energy-saving designs for ankle exoskeletons, and investigated how exoskeletons can enhance balance and reduce fall risks. His team also developed the 'Tripod' prosthesis emulator and electrostatic clutch systems for energy-efficient actuators. Grants & Collaborations: His work is supported by NSF grants (e.g., NRI: Small grant for exoskeleton control) and industry partnerships. He collaborates with clinicians to translate robotic innovations into clinical applications for amputees and aging populations. Labs & Teams: His research is conducted in Stanford's robotics and biomechanics facilities, focusing on interdisciplinary projects at the intersection of mechanical engineering, bioengineering, and computer science.

John Nassourمشاهده پروفایل

پژوهشگر

• Computational Cognitive Systems
• Robotics
• Wearable Robotics
• +۵ مورد دیگر

John Nassour is a Researcher at the Technical University of Munich's School of Computation, Information and Technology, affiliated with the Chair of Cognitive Systems. He holds engineering degrees from Tishreen University (electronics), a Master's in intelligent systems from University of Cergy-Pontoise/École Nationale Supérieure de l'Électronique, and a joint PhD from University of Versailles/TUM. His interdisciplinary research focuses on computational cognitive systems applied to robotics, including wearable devices, humanoid robots, soft robotics, and robot learning for locomotion/manipulation. Before joining TUM in 2020, he was a lecturer/researcher at Chemnitz University of Technology. He teaches courses in cognitive systems, neuro-inspired engineering, and soft robotics.

David R. Clarkeمشاهده پروفایل

استاد

• Materials Science
• Ceramics
• Metals
• +۶ مورد دیگر

Professor David R. Clarke is the inaugural Extended Tarr Family Professor of Materials at Harvard School of Engineering and Applied Sciences. He is a Senior Fellow of the Hong Kong Institute for Advanced Study (HKIAS) and member of the US National Academy of Engineering. PhD in Physics (University of Cambridge) B.Sc. in Applied Sciences (Sussex University) ScD (University of Cambridge) His research spans fundamentals and applications of ceramics, metals, semiconductors, and polymers, focusing on mechanical properties, thermal barrier coatings, dielectric elastomers, oxidation fundamentals, and microelectronics reliability. Recent work explores electro-adhesive forces and nanopore evolution in yttria-stabilized zirconia. With over 500 publications in journals like Nature and Advanced Materials, Clarke's work has been cited >50,000 times (h-index 107). He holds 13 patents and has advised students across MIT, UC Berkeley, and Harvard. 2008 Japanese NIMS Award 1993 Humboldt Senior Scientist Award Distinguished Life Member, American Ceramic Society Teaching includes undergraduate courses on heat transfer and materials design, plus graduate courses on dislocations and composites. His lab recently worked on quantum dot displays and fatigue crack sensing technologies.

Xiaoze Peiمشاهده پروفایل

استاد

• Superconductivity
• Cryogenic Power Electronics
• Electric Aircraft Systems
• +۶ مورد دیگر

Xiaoze Pei is a Professor in the Department of Electronic & Electrical Engineering at the University of Bath, affiliated with the Institute for Advanced Automotive Propulsion Systems (IAAPS) and the Electronics Materials, Circuits & Systems Research Unit (EMaCS). His research focuses on superconductivity applications in electric systems, cryogenic power electronics, and DC network technologies for aerospace and renewable energy integration. Key projects include leading initiatives such as Towards Zero Emissions Electric Aircraft through Superconducting DC Distribution Network and HSTEA - Aerospace R&I , addressing challenges in electric propulsion, fault current limiters, and cryogenic power converters. His work contributes to UN Sustainable Development Goals related to clean energy and sustainable transport. Expertise: Superconducting fault current limiters (SFCL), DC circuit breakers, cryogenic power systems. Current roles: Principal Investigator (PI) on multiple UK and EU-funded projects. Collaborations: Extensive work with industry partners and academic institutions on electric aircraft, hydrogen control systems, and e-mobility technologies. Recent research emphasizes high-current cryogenic DC circuit breakers, superconducting air-core motors for aircraft, and topology optimization for power electronics. He actively supervises doctoral students in these areas and has published over 90 peer-reviewed articles. Labs/Teams: Leads research within EMaCS and collaborates with teams specializing in power electronics, cryogenics, and aerospace propulsion.

Biyun Xieمشاهده پروفایل

استادیار

• Kinematically Redundant Robots
• Fault Tolerant Robots
• Collaborative Robots
• +۴ مورد دیگر

Biyun Xie is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Kentucky's Stanley and Karen Pigman College of Engineering. Her research focuses on kinematically redundant robots, fault-tolerant robotics, and human-robot interaction, with applications in dangerous environments and collaborative systems. Education : Ph.D. in Electrical Engineering from Colorado State University (2019), Ph.D. in Mechanical Engineering from Beijing University of Technology (2015), and B.S. in Mechanical Engineering and Automation from Beijing University of Technology (2009). Research Interests : Kinematically Redundant Robots Fault Tolerant Robots Collaborative Robots Human-Robot Interaction Publications (2025–2023) highlight advancements in real-time fault-tolerant motion planning for redundant robots, neural network-based motor health monitoring, human-like motion algorithms, and collision-free trajectory optimization. These works intersect robotics, artificial intelligence, and mechanical/electrical engineering. Contact : Biyun.Xie@uky.edu | 859-562-2557

• Marine Renewable Energy
• Wind Turbine Drivetrain Systems
• Condition Monitoring
• +۵ مورد دیگر

Amir R. Nejad is a Professor at the Department of Marine Technology, NTNU, and leads the Marine Energy Systems and Autonomics (MESA) research group. He chairs the EAWE WindEurope Scientific Track Committee and co-founded the Drivetrain Technical Committee at the European Academy of Wind Energy (EAWE). He is also involved in ISO committees, editorial boards of journals like Wind Energy Science , and contributes to standards for offshore wind energy. Education: Ph.D. in Marine Technology, NTNU (top 10% international ranking) M.Sc. Subsea Engineering, University of Aberdeen (Distinction) B.Sc. Mechanical Engineering, Tehran University (Honors) Research Interests: Focus on stochastic and reliability-based design, dynamic modeling of electro-mechanical systems, fault detection, and condition monitoring in marine and offshore renewable energy applications. Key areas include wind turbine drivetrains, floating offshore systems, and digital twin technology. Awards: 2x Best Lecturer, NTNU (2015-2016, 2019-2020) Best Poster Award, Torque Conference 2016 Nowitech Ph.D. Fellowship, 2012-2015 Advising & Grants: Supervises Ph.D. students in drivetrain design and offshore systems. Leads projects on marine system dynamics and vibration through the MD Lab. Collaborates with industry on drivetrain testing and reliability. Labs & Teams: Director of the Marine System Dynamics and Vibration Lab (MD Lab), fostering innovation in offshore renewable energy systems and digital twin applications.

Byron Bootsمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Robotics
• +۵ مورد دیگر

Byron Boots is the Amazon Professor of Machine Learning in the Paul G. Allen School of Computer Science and Engineering at the University of Washington, where he directs the UW Robot Learning Laboratory. He also serves as a Principal Research Scientist in the Seattle Robotics Lab at NVIDIA Research and co-chairs the IEEE Robotics and Automation Society Technical Committee on Robot Learning. Dr. Boots received his Ph.D. from the Machine Learning Department in the School of Computer Science at Carnegie Mellon University, where he was a member of the Sense, Learn, Act (SELECT) Lab co-directed by Carlos Guestrin and his advisor Geoff Gordon. Prior to joining the University of Washington faculty, he was an Assistant Professor in the School of Interactive Computing within the College of Computing at Georgia Tech, and before that, he completed a post-doc in the Robotics and State Estimation Lab directed by Dieter Fox at the University of Washington. Professor Boots' research focuses on the intersection of machine learning, artificial intelligence, and robotics, with particular emphasis on developing theory and systems that tightly integrate perception, learning, and control. His work spans computer vision, state estimation, localization and mapping, high-speed navigation, motion planning, and robotic manipulation. His group develops algorithms drawing from deep learning and neural networks, nonparametric statistics, graphical models, nonconvex optimization, quantum physics, online learning, reinforcement learning, and optimal control. The research demonstrates a strong theoretical foundation while maintaining practical relevance to real-world robotic systems. His recent publications reveal a clear trend toward integrating advanced machine learning techniques with robotics, particularly in model predictive control, motion planning, and learning-based approaches to robot control. His work shows increasing focus on developing theoretically grounded methods that can handle the complex, nonlinear dynamics of real-world robotic systems while maintaining computational efficiency. The publications span top venues including ICRA, CoRL, IROS, and NeurIPS, demonstrating broad impact across multiple subfields of robotics and AI. Finalist for Best Systems Paper at Conference on Robot Learning (CoRL-2021) Multiple papers selected for oral presentations at top robotics conferences Work recognized for theoretical contributions and practical applications in robot learning As director of the UW Robot Learning Laboratory, Boots leads a vibrant research group focused on fundamental and applied research in robot learning. The lab maintains strong collaborations with NVIDIA Research and has produced numerous high-impact publications that bridge theory and practice. Professor Boots teaches courses in autonomous robotics, machine learning, and reinforcement learning, contributing to both undergraduate and graduate education at the University of Washington.

Antonio Griffoمشاهده پروفایل

استاد

• Power Electronics
• Electric Drives
• SiC Power Converters
• +۵ مورد دیگر

Professor Antonio Griffo holds the position of Professor of Power Electronics and Electric Drives at the University of Sheffield's School of Electrical and Electronic Engineering. He leads the Electrical Machines and Drives Research Group and is involved in the High Reliability Drives Group. His academic journey includes a MSc (2003) and PhD (2007) in Electrical Engineering from the University of Naples, followed by research roles at Bristol and Sheffield Universities before becoming a Lecturer in 2013 and later a Professor. His research focuses on advanced control of electric drives, SiC-based power electronics for aerospace/renewables, fault detection in machines, and thermal management. Key projects include modeling hybrid AC/DC power systems for 'More Electric Aircraft', sensorless control techniques, and real-time simulation methodologies. He has pioneered work on SiC converter reliability, insulation monitoring, and condition-based maintenance systems. Publications (15+ in top journals like IEEE Transactions) emphasize innovative solutions for power electronics challenges, including voltage stress mitigation, thermal modeling, and fault tolerance. His work bridges theory and application, addressing critical issues in aerospace, renewable energy, and electric vehicle systems. Griffo also contributes to educational advancements through modular training platforms for power electronics education. Labs/Teams: Active in the Electrical Machines and Drives Research Group, focusing on high-reliability drive systems and sustainable energy technologies. Collaborates with industry on projects like the EPSRC Offshore Wind Prosperity Partnership.

• Theoretical Condensed Matter Physics
• Ultrafast Magnetism
• Orbitronics
• +۷ مورد دیگر

Peter Oppeneer is a Professor in the Materials Theory group within the Department of Physics and Astronomy at Uppsala University, Sweden. His research program focuses on theoretical condensed matter physics with emphasis on ultrafast phenomena and magnetic materials. His research interests span femtosecond magnetism, ultrafast spin and orbital currents, out-of-equilibrium magnon and phonon dynamics, unconventional superconductivity, multipolar and hidden order parameters, and orbitronics. The group develops both analytical theories and numerical simulation codes, combining ab initio methods with model Hamiltonian approaches. Key research thrusts include ultrafast demagnetization mechanisms, spin-crossover materials, molecular spintronics, and topological quantum states in magnetic materials. Analysis of recent publications reveals strong focus on altermagnetism, terahertz spin dynamics, Dirac semimetals, and laser-induced phase transitions. The group's work bridges fundamental quantum theory with applications in next-generation spintronic devices and ultrafast magnetic switching technologies. Collaborative activities include work with experimental groups on ultrafast spectroscopy, X-ray magnetic circular dichroism, and terahertz emission studies. The group maintains active collaborations across Europe and internationally, particularly in the areas of femtosecond magnetism and topological materials. Research infrastructure includes development of specialized computational codes for Eliashberg theory, dynamical mean field theory, and ultrafast spin dynamics simulations. The group contributes to major international facilities including synchrotron and free-electron laser sources for time-resolved studies.

Lei Zhouمشاهده پروفایل

استاد

• Precision Mechatronics
• Control Engineering
• Electric Machine Design
• +۴ مورد دیگر

Professor Lei Zhou is a faculty member in the Department of Mechanical Engineering at the University of Wisconsin-Madison, with an affiliate appointment in Electrical & Computer Engineering. His research focuses on Precision Mechatronics, integrating precision mechanical design, electromagnetics, and control engineering to address challenges in electric machines, motion control, and precision systems. He holds a PhD from MIT (2019), an MS from MIT (2014), and a BE from Tsinghua University (2012). Research interests include: High-performance motion systems and electric motor design Control solutions for precision positioning and robotic actuation Magnetic levitation technologies for manufacturing and medical applications Recent work emphasizes magnetic levitation systems (e.g., LevCube nanopositioning stage) and over-actuated precision stages that break traditional performance trade-offs. His publications span 2020-2025, reflecting advancements in motor design, control algorithms, and mechatronics integration. Notable achievements include the 2023 ASPE Early Career Award and Meta Research Award. Teaching includes courses on mechatronics (ME 376), automatic controls (ME 577/ECE 577), and advanced research supervision (ECE 790/ME 890). He leads the FlexLab and LevLab, focusing on portable mechatronics education and precision motion systems. Current research explores lightweight stages for semiconductor manufacturing and magnetic catheter systems for medical treatments.