جست‌وجوی استاد و پژوهشگر

Nima Fazeliمشاهده پروفایل

استادیار

• Robotic Manipulation
• Embodied Intelligence
• Multimodal Representation Learning
• +۴ مورد دیگر

Nima Fazeli is an Assistant Professor of Robotics at the University of Michigan (2020–Present), holding courtesy appointments in Computer Science & Engineering (CSE) and Mechanical Engineering. He directs the Manipulation and Machine Intelligence (MMint) Lab, focusing on enabling dexterous robotic manipulation through multimodal representation learning, tactile sensing, and model-based reasoning. His work integrates mechanics, perception, controls, and planning to achieve autonomous interaction with uncertain environments. Education: PhD, MIT (2019); MSc, University of Maryland (2014); BSc, Amirkabir University of Technology (2011) Research interests emphasize embodied intelligence , including visuo-tactile fusion, contact dynamics modeling, and cross-modal learning. Recent work explores tactile shadows, deformable object manipulation, and language-guided robot control. His research is supported by the NSF CAREER grant and National Robotics Initiative, with applications in manufacturing, assistive robotics, and space systems. Publications span topics like tactile sensing hardware (e.g., GelSlim 4.0), visuo-tactile implicit representations (ViTaSCOPE), and failure recovery policies (Racer). His team’s work has been featured in outlets like The New York Times and BBC. Key Awards: NSF CAREER Grant (2024) Teaching includes Introduction to Robotic Manipulation . Collaborations involve cross-disciplinary projects with mechanical, electrical, and biomedical engineering groups.

Andrea Bonfiglioمشاهده پروفایل

دانشیار

• Power Systems Analysis
• Smart Grids
• Renewable Energy Integration
• +۵ مورد دیگر

Andrea Bonfiglio is an Associate Professor at the Department of Naval, Electrical, Electronic and Telecommunication Engineering (DITEN) within the School of Engineering at the University of Genoa. His work focuses on power systems, smart grids, and renewable energy integration with a particular emphasis on innovative control strategies and energy storage solutions. Teaching areas: Electrical Systems, Industrial Measurements, Energy Security Key research themes: Smart distribution networks, synthetic inertia, microgrid control, vehicle-to-grid technologies, battery energy storage Recent work explores virtual energy partitioning, load flow optimization, and inertia allocation in transmission networks Contact: a.bonfiglio@unige.it His publications highlight advanced control methodologies using machine learning and sliding mode control for both transmission and distribution networks, with applications to renewable integration and grid stability challenges.

Qingguo Liمشاهده پروفایل

استاد

• Biomechanical system design
• Energy harvesting
• Wearable sensors
• +۴ مورد دیگر

Qingguo Li is a Professor and Associate Head at the Department of Mechanical and Materials Engineering , Queen's University , and a member of the Ingenuity Labs Research Institute . He specializes in biomechanical system design, energy harvesting, wearable sensors, gait analysis, and load carriage systems. His research integrates robotics, biomedical engineering, and sensor technology to develop human-centric devices and mobility aids. Current Roles : Professor, Associate Head, Queen's University Research Institute : Ingenuity Labs Research Institute Lab : Bio-Mechatronics and Robotics Laboratory His work focuses on biomechanical energy harvesting , IMU-based motion analysis , and assistive device development . Key applications include stroke rehabilitation, gait monitoring, and wearable power generation systems. Articles span cable-driven robots , smart walkers , and 3D printing mechanisms , emphasizing human-robot interaction and dynamic modeling . The lab explores sensor calibration , adaptive control algorithms , and human movement optimization . Areas of impact include rehabilitation engineering , load carriage stability , wearable sensor accuracy , and assistive robotics . His team develops solutions for gait asymmetry detection , post-stroke mobility , and low-cost energy systems , leveraging machine learning and kinetic modeling .

Jun Liuمشاهده پروفایل

استادیار

• Advanced energy materials
• Nano/micro-mechanics
• Self-powered electronics and systems
• +۲ مورد دیگر

Jun Liu is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the School of Engineering and Applied Sciences, University at Buffalo. His research focuses on advanced energy materials, nano/micro-mechanics, and self-powered systems, with applications in triboelectric energy harvesting and scanning probe microscopy. Education: PhD, Materials Engineering, University of Alberta (2018) MS, Materials Science, Shanghai University (2015) BE, Materials Science and Engineering, Nanchang University (2012) Research Interests: Development of tribovoltaic and triboelectric systems for self-powered electronics Mechanical energy harvesting via dynamic heterojunctions and Schottky contacts 3D-printed hydrogel structures for energy absorption and flexible electronics Nanoscale characterization using atomic force microscopy Design of nanocomposite sensors and catalytic materials Publication Trends: His work emphasizes triboelectricity, nanoscale energy conversion, and sustainable materials. Recent articles explore bionic tactile sensing, tunable hydrogels, and quantum dynamics in sliding interfaces. Awards: SONY Faculty Innovation Award (2021) Nature Springer MINE Young Scientist Award (2020) International Contest of Applications in Nano/Micro Technology Prize (2013) Laboratory: Advanced Energy Materials and Nanomechanics Lab at University at Buffalo.

Chao Liuمشاهده پروفایل

پژوهشگر

• Surgical Robotics
• Teleoperation
• Haptics
• +۲ مورد دیگر

Chao Liu is a Research Scientist at CNRS (French National Center for Scientific Research) since 2008, affiliated with the DEXTER team and the Department of Robotics, LIRMM at University of Montpellier, France. He earned his Ph.D. in Electrical & Electronic Engineering from Nanyang Technological University, Singapore (2006). Current research focuses on surgical robotics , haptics , teleoperation , and nonlinear control theory with applications in computer vision. His work addresses challenges in robotic-assisted telesurgery, including: Stable and transparent human-robot interaction through wave variable compensators and passivity filters Physiological motion compensation using spatio-temporal LSTM and dual Kalman filters EMG-based motion recognition for surgical skill assessment 3D soft-tissue reconstruction with stereo-endoscopes and deep learning Dr. Liu leads European and French projects like: TS2RT (CNRS-funded): Safer teleoperation with motion compensation ROBACUS (ANR-funded): Needle positioning with MPC control HaTUMoCo (CNRS-funded): Haptic teleoperation with uncertainty handling ARAKNES (EU-funded): Microrobotic systems for endoluminal surgery Scientific honors include Senior Member of IEEE and Member of Sigma Xi . He supervises Ph.D. and Master's students working on topics such as concentric tube robot optimization, haptic teleoperation, and EMG-based force estimation. Dr. Liu serves on IEEE Technical Committees for Telerobotics and Haptics , and as Technical Editor of IEEE/ASME Transactions on Mechatronics.

• Tribology
• Mechanical Engineering
• Materials Science
• +۷ مورد دیگر

Dr Amir Kadiric is a Reader in Mechanical Engineering at Imperial College London's Faculty of Engineering, leading the SKF University Technology Centre for Tribology. He holds a MEng (Mechanical Engineering) and PhD (Tribology) from Imperial College (2005). Previously, he worked at SKF's Engineering and Research Centre in the Netherlands, focusing on rolling bearing research. Education: MEng in Mechanical Engineering (Imperial College), PhD in Tribology (Imperial College, 2005) His research emphasizes damage mechanisms in machine elements—such as rolling contact fatigue (micropitting, pitting), scuffing, and fretting—as well as reliability/efficiency of electric vehicle transmissions and condition monitoring of tribological systems. He collaborates with industries to advance applications in wind turbines, geared turbofan engines, and EV drivetrains. His work integrates experimental and computational methods, including novel techniques for in-situ lubricant film measurement and tribofilm analysis. He leads the Imperial-Industry collaboration through the SKF UTC for Tribology, advancing fundamental and applied tribology research. Dr Kadiric’s lab focuses on surface coatings, lubricant formulation, and advanced material characterization to mitigate failure modes in dynamic mechanical systems. His contributions bridge academic and industrial challenges in sustainable energy systems and high-performance engineering components.

• Control Systems
• Signal Processing
• Neuro-Fuzzy Systems
• +۳ مورد دیگر

Dragan S. Antic is a Professor at the Department of Automation, Faculty of Electronics, University of Niš. He earned his PhD in Automation from the same institution in 1994, following a Master's (1991) and Bachelor's (1987) degree in the same field. His research focuses on control systems, signal processing, and neuro-fuzzy systems, with a strong emphasis on sliding mode control, orthogonal function-based modeling, and adaptive neural networks. He has published 51 papers in journals with impact factors and currently participates in 2 national and 8 international research projects. Key research areas include dynamic system modeling, quasi-orthogonal filters, and finite-time stability analysis of time-delay systems. His work often integrates mathematical techniques with engineering applications, such as anti-lock braking systems and PID control optimization. Contact details include his office at Aleksandra Medvedeva 4, Niš, and the email dragan.antic@elfak.ni.ac.rs. Professional contributions include foundational research in endocrine neural networks and low-pass filter design, with notable publications in journals like Electronics Letters and Journal of the Franklin Institute . His efforts bridge theoretical advancements with practical engineering solutions in automation and control.

Matt Bonneyمشاهده پروفایل

مدرس

• Digital Twins
• Nonlinear Structural Dynamics
• Mechanical Joint Modelling
• +۴ مورد دیگر

Dr. Matt Bonney is a Lecturer in Space Engineering at Swansea University, affiliated with the School of Aerospace, Civil, Electrical and Mechanical Engineering. He holds a position in the Department of Aerospace Engineering and is actively involved in postgraduate supervision. His research focuses on digital twin technology, nonlinear structural dynamics, mechanical joint modeling, seismic reliability, and uncertainty quantification, with recent emphasis on digital twin security and thermo-mechanical coupling in assembled structures. Dr. Bonney's expertise spans multi-physics joint modeling and multi-disciplinary development of digital twins, with international collaborations. He teaches modules such as 'Advanced Space Systems' (EG-M334) and 'Aerospace Systems' (EGA220), emphasizing space system design, orbital mechanics, and cyber-physical security. His research highlights include the development of a Python Flask-based digital twin operational platform, contextualization of information in digital twin processes, and experimental studies on frictional interfaces. His work on uncertainty quantification and seismic reliability has applications in nuclear reactor systems and civil engineering structures. Dr. Bonney currently supervises a PhD student focusing on nonlinearities in thermal-mechanical joints. His research outputs include over 30 peer-reviewed publications, with contributions to journals like Mechanical Systems and Signal Processing and Data-Centric Engineering .

• Signal Processing
• Electronics
• Biomedical Engineering
• +۵ 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.

Philippe Baucourمشاهده پروفایل

پژوهشگر

• Thermodynamics
• Fuel Cells
• Electrothermal Processes
• +۳ مورد دیگر

Philippe Baucour is Deputy Director of the Energy Department at FEMTO-ST institute, affiliated with the University of Franche-Comté's Faculty of Sciences, Technology and Management (UFR STGI) in Belfort, France. His research focuses on electrothermal interactions in complex systems, with particular expertise in fuel cell thermodynamics, electrical sliding contacts (especially pantograph-catenary systems), and thermal management of electrical components. His core research areas include: Thermodynamics of low-temperature fuel cells Electrothermal phenomena in electrical contacts and motors Thermal modeling of energy recovery systems Wear and heat generation in sliding electrical interfaces Thermal management strategies for automotive and railway systems Baucour's recent publications demonstrate a strong focus on thermal modeling and experimental validation in electrical systems. His work consistently addresses heat transfer challenges in railway infrastructure (particularly pantograph-catenary interfaces), electrical harness design, and energy conversion systems. There's significant emphasis on developing computational models for thermal prediction and analyzing material behavior in electrical contacts. He leads research within the THERMIE team at the Energy Department, collaborating on projects involving thermal analysis of electrical components, energy recovery systems, and experimental characterization of electrothermal phenomena.

Robert Jacksonمشاهده پروفایل

استاد

• Tribology
• Friction
• Wear
• +۱۱ مورد دیگر

Robert Jackson is the Albert Smith Jr. Professor in the Department of Mechanical Engineering at Auburn University’s Samuel Ginn College of Engineering. He holds a Ph.D., M.S., and B.S. in Mechanical Engineering from the Georgia Institute of Technology and is a leading researcher in tribology, contact mechanics, friction, wear, and lubrication. He serves as Editor-in-Chief of the ASME Journal of Tribology and leads a research group focused on multiscale modeling, electrical contact reliability, and sustainable biolubricants. His research interests include: tribology, friction, wear, surface engineering, surface fatigue, lubrication, nano-lubricants, surface texturing, and multiphysics modeling. He applies these to challenges in electric vehicles, aerospace systems, and biomedical devices. His work integrates experimental validation with finite element and statistical modeling to understand contact behavior across scales. His recent publications focus on electrical erosion in EV bearings, nanoparticle-enhanced greases, mixed lubrication models, and biolubricants from waste oil. These works reflect a strong trend toward sustainable engineering, advanced materials, and predictive modeling in mechanical systems. His interdisciplinary approach bridges mechanical, materials, and electrical engineering. ASME Fellow Fellow, Society of Tribologists and Lubrication Engineers (STLE) Ralph Beard Memorial Academic Award Editor-in-Chief, ASME Journal of Tribology Dr. Jackson advises graduate students such as Jack Janik and collaborates with researchers on projects involving electrical connectors, solenoid valves, and biolubricant development. His lab engages in both fundamental contact mechanics and applied industrial problems. He leads the tribology minor and student sections of ASME and STLE at Auburn.

Yawen Wangمشاهده پروفایل

استادیار

• Gear Dynamics
• Structural Vibration and Acoustics
• Active Noise Control
• +۳ مورد دیگر

Dr. Yawen Wang is an Assistant Professor of Research in the Mechanical and Aerospace Engineering Department at The University of Texas at Arlington (UTA). He directs the Vibro-Acoustics and Sound Quality Research Laboratory and leads the Hypoid and Bevel Gear Mesh and Dynamic Modeling Consortium. His academic career includes adjunct roles at the University of Cincinnati and teaching positions since 2017. Dr. Wang holds a PhD in Mechanical Engineering from the University of Cincinnati (2017), an MS from the same institution (2013), and a BS from Chongqing University (2010). Educational Background PhD in Mechanical Engineering, University of Cincinnati, 2017 MS in Mechanical Engineering, University of Cincinnati, 2013 Bachelor of Science in Mechanical Engineering, Chongqing University, 2010 Research Expertise Dr. Wang specializes in precision machine elements (gears, bearings), gear noise/vibration, structural acoustics, active noise control, automotive NVH, and data-driven design. His work integrates computational modeling, experimental techniques, and analytical approaches to solve engineering challenges in powertrain systems and vehicle dynamics. Recent projects include optimizing hypoid gear designs, improving drivetrain prognostics via Vibration Resonance Spectrometry (VRS), and reducing electric vehicle noise through advanced materials and control systems. Professional Contributions He has authored/co-authored over 70 journal/conference papers and collaborates with industry leaders like Ford, GM, Daimler, and Toyota. His awards include the InterNoise Hallberg Foundation Award (2015) and NoiseCon Michiko Finegold Award (2014). Dr. Wang serves on ASME committees and chairs sessions at the International Power Transmission and Gearing Conference. Academic Leadership He advises graduate students, including Chia Ching Lin for a dissertation on axle system dynamics. Teaching responsibilities span mechanical vibrations, structural dynamics, and powertrain design. Dr. Wang also oversees grants from sponsors such as Jian’an Industrial Co., advancing gear mesh modeling and dynamic analysis. Labs & Consortia As director of the Vibro-Acoustics Lab, he focuses on sound quality design, active control systems, and vehicle interior acoustics. The Gear Consortium he leads develops tools like HGSim for gear mesh simulation, with recent updates to version 7.8.3 (2024).

Bruce Buffettمشاهده پروفایل

استاد

• Planetary Interiors
• Geomagnetism
• Mantle Convection
• +۴ مورد دیگر

Bruce Buffett is a Professor at the University of California, Berkeley, with his office located in McCone Hall (Room 383). His research spans planetary interiors, geomagnetism, and climate-related geophysics. His primary research interests include: Dynamics and evolution of planetary interiors Mantle convection and plate tectonics Planetary dynamos and geomagnetic field variability Physical modeling of gas hydrates and implications for climate change Buffett employs stochastic and numerical models to investigate core dynamics, including studies on topographic torque at the core-mantle boundary, inner core anisotropy, and stable stratification. His work on gas hydrates focuses on submarine groundwater discharge and its role in hydrate stability on continental shelves, particularly in the Arctic. Analysis of his recent publications (2023-2025) reveals a strong emphasis on geomagnetic field modeling, with recurring themes of: Uncertainty quantification in geomagnetic time series Core-mantle boundary interactions Inner core structure and flow Application of advanced statistical methods to geomagnetic data Buffett's research is supported by grants such as the NSF-SNSF collaborative project on Earth's core dynamics under the plesio-geostrophy paradigm.

Mario Selvaggioمشاهده پروفایل

استادیار

• Shared control/autonomy
• Robot teleoperation
• Passivity-based control
• +۷ مورد دیگر

Mario Selvaggio is an Assistant Professor at the Department of Electrical Engineering and Information Technology, University of Naples Federico II. He actively contributes to robotics research through his involvement with PRISMA Lab and ICAROS , while co-founding spinoff companies BeyondShape and Herobots . His academic background includes a Ph.D. in Information Technology and Electrical Engineering (2020) under Prof. Bruno Siciliano, with previous degrees in Mechanical Engineering (2013, 2015). Ph.D. in Information Technology and Electrical Engineering (2020) Bachelor's and Master's in Mechanical Engineering (2013, 2015) His research interests focus on shared control/autonomy, robot teleoperation, passivity-based control, soft robotics, and robotic surgery. He has developed innovative solutions including: Shared-control teleoperation for soft growing robots Non-prehensile object transportation frameworks Advanced modeling of cable-suspended dual-arm systems Medical robotics with force-sensor equipped tools Virtual reality-based teleoperation architectures Recent publications (2021-2025) span topics from semi-autonomous aerial manipulation to cyber-physical measurement systems, with emphasis on human-robot interaction and industrial applications. He serves as Associate Editor for several IEEE conferences and journals. Scientific Awards IEEE RAS Technical Committee on Haptics grant ($2500, 2018) Second prize at Bioengineering Congress (2018) Finalist for 'Fabrizio Flacco' Best Paper Award (2020) Prof. Selvaggio teaches the Master's Course in Automation Engineering and Robotics (2024/2025) using Robot Operating System (ROS) curriculum. He actively collaborates with international research groups at IRISA/INRIA Rennes , Rainbow team , and University of California Santa Barbara (mechanical engineering department). His research combines theoretical advancements with practical implementations, demonstrated through extensive validation in simulated environments and real robotic platforms including KUKA LWR IIWA manipulators, dVRK systems, and humanoid platforms.

Robert L. Jacksonمشاهده پروفایل

استاد

• Tribology
• Contact Mechanics
• Friction
• +۱۰ مورد دیگر

Robert L. Jackson is a Professor in the Department of Mechanical Engineering at Auburn University, College of Engineering. He serves as Editor-in-Chief of the ASME Journal of Tribology, highlighting his leadership in the field. His research focuses on tribology, contact mechanics, friction, wear, lubrication, and electrical contacts, with applications in machine design and electrified systems. His research interests include: Nano, Micro, and Macro Scale Contact Friction, Wear, and Lubrication (Tribology) Electrically Induced Bearing Damage Electrical Contacts and Lubricant Additives Surface Texturing and Nano-lubricants Multiscale/Multiphysics Modeling Design of Machine Components His recent publications reveal a strong trend in the performance of electric vehicle motor greases, electro-pitting, electrical discharge modeling, and mixed lubrication in rolling and sliding contacts. He investigates the role of nanoparticles, surface roughness, and thermal effects in tribological systems. His work spans experimental, analytical, and computational approaches, with a focus on real-world engineering applications such as EVs, connectors, and bearings. He actively mentors graduate students, including current advisees Loren Baugh, Jack Janik, and Sudip Saha. His past students have gone on to careers in industry and academia at organizations like Intel, Amazon, Tesla, and universities in China and India. He has collaborated extensively with researchers on topics ranging from articular cartilage biomechanics to nanocomposite lubricants and electrical connector reliability.