جست‌وجوی استاد و پژوهشگر

Avideh Zakhorمشاهده پروفایل

استاد

• Signal Processing
• Artificial Intelligence
• 3D Computer Vision
• +۶ مورد دیگر

Dr. Avideh Zakhor is a Professor and Qualcomm Chair at the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley. She is affiliated with several research centers including the Berkeley Artificial Intelligence Research Lab (BAIR), Berkeley Deep Drive Initiative, Video and Image Processing Lab, and Berkeley Center for New Media (BCNM). Her career spans over three decades with significant contributions to signal processing, 3D computer vision, robotics, and deep learning. 1983 B.Sc. in Electrical Engineering from Caltech 1985 S.M. in Electrical Engineering and Computer Science from MIT 1987 Ph.D. in Electrical Engineering and Computer Science from MIT Dr. Zakhor's research interests focus on 3D computer vision, autonomous systems and robotics, deep learning, and signal/image processing. Her work spans diverse areas including drone navigation, medical imaging analysis, indoor positioning, and building energy audits. She has led projects on drone-based 3D building reconstruction, legged robot locomotion, and melanoma detection using AI. The 15 most recent publications highlight her work in several key areas: person search pre-training techniques, drone-based indoor navigation and 3D modeling, medical image segmentation for melanoma detection, hexapod robot locomotion, and proximity detection for public health. These publications demonstrate her expertise at the intersection of computer vision, robotics, and AI applications. Dr. Zakhor has received numerous prestigious awards throughout her career: 2022 Winner of Phases 1 and 2, Department of Energy E-Robot Competition 2018 Electronic Imaging Scientist of the Year by SPIE 2004 Okawa Research Grant 2002 IEEE Fellow 1992 Office of Naval Research Young Investigator Award 1990 Presidential Young Investigator (PYI) Award from President George H.W. Bush 1990 Junior Faculty Development Award 1984-1988 Hertz Fellowship 1983 Henry Ford Engineering Award 1982-1983 General Motors Scholarship Dr. Zakhor has advised numerous research projects and has been involved in significant research grants. She has founded successful companies including Indoor Reality, which develops technologies for rapid 3D mapping and visualization of buildings and assets. She leads research initiatives in various cutting-edge technologies: Unmanned Aerial Vehicles (UAV) with focus on autonomy and obstacle avoidance, perception, path planning and control Deep learning applications in legged locomotion, unsupervised learning for multimodal sensors, misinformation detection, and learning-based image compression Wi-Fi proximity detection methods for contact tracing of diseases Temporal graphical neural networks for disease prediction Detection of small objects in ultra-high resolution images 3D reconstruction and recognition

Daniel Axehillمشاهده پروفایل

استاد

• Autonomous Systems
• Optimization-Based Control
• Sensor Fusion
• +۴ مورد دیگر

Professor Daniel Axehill is affiliated with the Department of Electrical Engineering (ISY) at Linköping University, specializing in planning and optimization-based control for autonomous systems. His research bridges theoretical developments and industrial applications. His recent work focuses on robust motion planning for autonomous vehicles, optimal task and motion planning algorithms, execution-time analysis for model predictive control, and high-performance solvers for multi-parametric quadratic programming. Key methods include lattice-based planning, disturbance estimation, and real-time optimization. He contributes to the Wallenberg Autonomous Systems Program (WASP), collaborating on advancements in robotics, sensor fusion, and complex network control systems.

• Robot Cooperation
• Human-Robot Interaction
• People Motion Behavior
• +۵ مورد دیگر

Anaís Garrell Zulueta is an Associate Professor at the Polytechnic University of Catalonia (UPC) and a Robotics Researcher at the Institut de Robòtica i Informàtica Industrial (CSIC-UPC) . She serves as Vice-Director of the Mobile Robotics and Intelligent Systems subline and supervises the RAIG - Mobile Robotics and Artificial Intelligence Group . PhD (2013): European Doctorate with highest honors from UPC B.S. in Mathematics (2006) from University of Barcelona Diploma d'Estudis Avançats (DEA) in Control, Vision, and Robotics from UPC Her research focuses on Human-Robot Interaction (HRI) and robot cooperation , particularly in urban environments . Key themes include: Explainable AI for robot transparency Human motion behavior prediction Socially aware navigation systems Collaborative transport robotics Autonomous last-mile delivery systems Cybernetic avatars and societal implications Recent projects (2023-2025) include: TORNADO: Foundation models for robots handling deformable objects HandIA: AI-based rehabilitation tools LENA: Lifelong navigation learning TRIFFID: First responder assistance robotics SOCIAL PIA: Cybernetic avatar modeling Scientific recognition includes: Second Prize for Best Spanish Robotics Thesis Best Paper Award Nomination (IEEE/RSJ IROS, 2009) As an advisor, she supervises: PhD students: Ferran Gebelli Guinjoan, Lavinia Hriscu, Edison Bejarano Final year projects: 8 students on topics like LLM-enhanced interaction and LiDAR SLAM systems She operates within the Institut de Robòtica i Informàtica Industrial (IRI) and collaborates with Carnegie Mellon University.

Andrew J. Spenceمشاهده پروفایل

دانشیار

• Locomotor Neuromechanics
• Spinal Cord Injury
• Biomechanics
• +۱۴ مورد دیگر

Andrew J. Spence is an Associate Professor in the Department of Bioengineering at Temple University's College of Engineering, where he leads the Spence Lab focused on locomotor neuromechanics and spinal cord injury. His work integrates experimental biology, mathematical modeling, robotics, and molecular genetic tools to understand how animals move and how movement can be restored after injury. PhD in Applied and Engineering Physics, Cornell University Postdoctoral training at UC Berkeley with Bob Full and Eileen Hebets Former RCUK Fellow and faculty at the Royal Veterinary College, London Joined Temple University in 2013 His research interests center on the control of locomotion, gait analysis, spinal cord injury, neuroprosthetics, and the application of optogenetics and chemogenetics (DREADDs) in neuromuscular disorders. He also explores biomechanics in diverse species, from insects to racehorses, seeking general principles of movement. The 15 most recent publications reveal a strong trend toward integrating genetic tools with biomechanical analysis, particularly in rodent models of spinal cord injury. His work spans fundamental questions in animal locomotion and applied research in rehabilitation, with increasing emphasis on closed-loop systems, automated tracking, and neuromodulation. RCUK Tenure Track Research Fellowship W.M. Keck Foundation predoctoral fellowship Spence advises a multidisciplinary team of students and postdocs, collaborates with Professors Michel Lemay and George Smith on spinal cord injury projects, and leads NIH-funded research. His lab develops open-source tools for locomotion analysis and has contributed significantly to understanding stability, gait transitions, and sensory feedback in movement. He teaches courses in neuroengineering and biomechanics at both undergraduate and graduate levels. The Spence Lab is actively involved in developing neurogenetic interventions for spinal cord injury, studying gait adaptation in complex environments, and creating innovative instrumentation for neuromechanical research.

• Human-Computer Interaction
• Assistive Technology
• Rehabilitation Engineering
• +۳ مورد دیگر

Dr. Ahmad Alsaleem is an Assistant Professor at the Jordan University of Science and Technology, specializing in assistive technologies and human-centered design. He holds a Ph.D. in Computing and has prior experience as a Software Engineer and researcher at Craig Nilsen Rehab Hospital and the Gapp Lab. His work focuses on enabling individuals with disabilities to participate in outdoor activities, extreme sports, and physiotherapy through advanced interactive systems. Education: Ph.D. in Computing. Previous affiliations include the University of Utah's School of Computing (listed on CV). Research Interests: Dr. Alsaleem's research bridges technology and disability studies, emphasizing spinal cord injury rehabilitation, shared control systems, and ability-based design principles. He designs adaptive technologies for extreme sports participation and game-based physiotherapy solutions. His projects include Tetra-Sport (main researcher), Smart Room Technology (IT consultant), and Health2Go (project manager). Projects & Contributions: Tetra-Sport: Empowers individuals with complex injuries via outdoor sports simulations. Health2Go: Improves health data collection in Ghana using Flutter and Hive database systems. Police De-Escalation Simulator: Co-created a training tool for law enforcement. Labs & Teams: Collaborates with the Gapp Lab and leads cross-functional teams in developing assistive technologies. His work integrates robotics, software engineering, and user-centric design to address accessibility challenges.

Adam Sachsمشاهده پروفایل

دانشیار

• Brain-Computer Interface
• Movement Disorders
• Neurosurgery
• +۵ مورد دیگر

Dr. Adam Sachs is an Associate Professor of Surgery in the Division of Neurosurgery at the University of Ottawa's Faculty of Medicine, where he also serves as an Assistant Professor at the Brain and Mind Research Institute. Additionally, he is an Adjunct Professor of Systems and Computer Engineering at Carleton University. Dr. Sachs is a Neurosurgeon at The Ottawa Hospital and serves as the Director of Neuromodulation and Functional Neurosurgery. Dr. Sachs completed his Bachelor of Science at McGill University in physiology and math, and a Master of Science at York University in applied mathematics researching mechanisms of human edge detection. During his neurosurgery residency at the University of Ottawa he participated in the Clinical Investigator program, performing neurophysiology and brain computer interface research in non-human primates. He was a Clinical Instructor in Functional and Spine neurosurgery at Stanford University from 2010 to 2012. His research focuses on using brain-computer interface (BCI) technology to help individuals with movement disorders. His work explores how real-time feedback of brain signals can enable participants to control external effectors such as robotic arms or virtual reality objects. This approach shows potential for inducing plasticity that provides symptom recovery for conditions like Parkinson's Disease, focal dystonia, and essential tremor, as well as offering communication channels for individuals with severe disabilities. Dr. Sachs' research spans neuroscience, neurosurgery, and engineering disciplines, with particular emphasis on neural signal processing, brain-computer interfaces, and neuromodulation techniques. His publication record demonstrates expertise in prefrontal cortex function, neural decoding, and the development of practical BCI systems that bridge clinical applications with fundamental neuroscience research. Associate Professor of Surgery, Division of Neurosurgery, University of Ottawa Assistant Professor, Brain and Mind Research Institute, University of Ottawa Adjunct Professor, Systems and Computer Engineering, Carleton University Director of Neuromodulation and Functional Neurosurgery, The Ottawa Hospital Associate Scientist, Neurosciences, Ottawa Hospital Research Institute Dr. Sachs supervises graduate students including Alireza Rouzitalab and Min Wah Leung, and leads the Sachs Lab which focuses on innovative approaches to neurorehabilitation and brain-computer interfaces. His research has significant clinical implications for treating movement disorders and restoring function to individuals with neurological disabilities.

David Kingstonمشاهده پروفایل

استادیار

• Biomechanics
• Gait Rehabilitation
• Pediatric Mobility
• +۳ مورد دیگر

David Kingston, Ph.D., serves as Assistant Professor at the University of Nebraska at Omaha's College of Education, Health, and Human Sciences and directs the Movement Analysis Core Facility (MOVAN). MOVAN manages seven laboratory spaces in the Biomechanics Research Building, supporting UNO researchers and external partners including Children's Nebraska – Orthopedics and Fortune 500 robotic surgery company Intuitive Surgical Inc. His research centers on biomechanics with specialized focus on gait rehabilitation , pediatric mobility , and improving orthopedic surgical outcomes for lower limbs. Kingston employs advanced methodologies including 3D movement analysis, electromyography of muscle activation, and foot pressure distribution to address mobility challenges in children with neuromuscular disorders (particularly cerebral palsy) and persons with diabetes. His NIH-supported work pioneers data-driven rehabilitation protocols using both aquatic and conventional therapeutic environments to optimize clinical decision-making. Analysis of Kingston's recent publications reveals a dominant research trajectory in comparative gait mechanics across diverse populations. His work consistently examines environmental interactions (aquatic vs. land-based), device efficacy (knee walkers, biofeedback systems), and pathological conditions (cerebral palsy, stroke, diabetes). Key trends include the quantification of pelvic motion irregularities, plantar pressure adaptations during assistive device use, and validation of markerless motion capture systems for clinical applications - demonstrating clear translational impact for surgical planning and rehabilitation protocols. As Director of MOVAN, Kingston oversees a critical research infrastructure serving as Nebraska's biomechanics hub. The facility enables collaborative projects spanning pediatric orthopedics, diabetic mobility interventions, and robotic surgical development through partnerships with major healthcare providers and technology firms. His NIH-funded research program directly leverages this infrastructure to advance evidence-based rehabilitation practices.

Mattias Tigerمشاهده پروفایل

استادیار

• Artificial Intelligence
• Robotics
• Autonomous Systems
• +۳ مورد دیگر

Mattias Tiger is an Assistant Professor at the Department of Computer Science (IDA) at Linköping University , where he serves as an AI researcher and deputy lab leader for the Reasoning and Learning Lab (ReaL) . His work is supported by the WASP program and focuses on applied AI research in autonomous systems. Roles : Assistant Professor, AI Researcher, Deputy Lab Leader Affiliations : IDA, AIICS, WASP, AI Academy Research Focus : Artificial Intelligence, Robotics, and Autonomous Systems with specialization in motion planning, dynamic obstacle avoidance, and safety-aware AI. His work bridges theoretical foundations with real-world applications, particularly in urban environments and agile flight systems. Key technical areas: Lattice-based motion planning, deep reinforcement learning, 3D exploration algorithms Application domains: Autonomous road sweeping, drone navigation, retail automation Awards : EurAI award for postdoctoral thesis SAIS award for best degree project supervision Collaborations : Works with Professor Fredrik Heintz and colleagues in projects involving robotic platforms like Spot and Elsa. His research has been highlighted during the Royal Couple's visit to Linköping and through grants from the Norrköping Fund for Research and Development.

Mohammad Poursinaمشاهده پروفایل

دانشیار

• Dynamic Modeling and Simulation of Multibody Systems
• Robotics and Robotic Rehabilitation
• Artificial Intelligence and Control Systems
• +۴ مورد دیگر

Mohammad Poursina is an Associate Professor at the Department of Engineering Sciences , University of Agder, Norway. His research spans multibody dynamics , robotics , and celestial mechanics , with a focus on dynamic modeling, control systems, and biomechatronics. He has held prior academic roles at the University of Arizona and Rensselaer Polytechnic Institute. Ph.D. in Mechanical Engineering, Rensselaer Polytechnic Institute (2011) M.Sc. and B.Sc. in Mechanical Engineering, University of Tehran (2006, 2003) His work addresses complex systems through interdisciplinary approaches, including robotic rehabilitation , flexible manipulators , and molecular dynamics . Recent publications highlight advancements in trajectory optimization , VR/AR surgical training , and asteroid system modeling . He serves on the editorial boards of Multibody System Dynamics and Journal of Computational and Nonlinear Dynamics , and has organized ASME conference sessions. Key research groups: Artificial Intelligence, Biomechatronics, and Collaborative Robotics Projects: Reality-Connected Machine Simulation of Heavy Machinery (RealSim)

Julie Reyerمشاهده پروفایل

دانشیار

• Mechanical Engineering
• Robotics
• Control Systems
• +۳ مورد دیگر

Julie Reyer is an Associate Professor and Interim Chair of the Department of Mechanical Engineering at Bradley University’s Caterpillar College of Engineering and Technology. She also serves as Associate Dean and is affiliated with the Business and Engineering Convergence Center. Her academic work spans robotics, control systems, optimal design, and engineering education. B.S., General Engineering, University of Illinois M.E., Mechanical Engineering, Carnegie Mellon University Ph.D., Mechanical Engineering, University of Michigan Her research focuses on robotics, kinematic modeling, and interdisciplinary convergence in design and control systems. She has developed innovative capstone programs integrating industry feedback and authored over two decades of publications. She actively supports student organizations as a faculty advisor for BU FIRST, SHPE, and SWE (Central Illinois Section). Her teaching includes courses like ME 560: Principles of Robotic Programming and ME 591: Advanced Computational Techniques .

• Industrial Automation
• Robotics
• Control Systems
• +۷ مورد دیگر

Julio Garrido Campos is a full-time researcher at the University of Vigo , affiliated with the School of Industrial Engineering and the Department of Systems and Automation Engineering . He is a member of the research group EN.EDI Efficient and Digital Engineering , focusing on advanced robotics, industrial automation, and digital manufacturing standards. Education: Doctor from the University of Vigo (1999) with a thesis on technical information exchange in concurrent engineering environments, supervised by Dr. Ricardo Marín Martín. His research spans mechatronics , cable-driven parallel robots (CDPR) , motion control systems , and STEP-NC standards for manufacturing. Recent work includes marine robotics applications for underwater load handling, 3D printing for maritime plastic circular economy initiatives, and digital twin development for industrial automation. Publications highlight trends in robotics for rehabilitation , custom non-conventional robotics , and energy-efficient manufacturing . He has contributed to frameworks for integrating simulation, control, and management tools in industrial digital twins. No specific scientific awards are mentioned in the provided text. Labs & Teams: Garrido Campos works within the Laboratorio de manutención e informática industrial Ricardo Marín , a group dedicated to industrial automation and mechatronics research for 25+ years.

Emily Rogers-Bradleyمشاهده پروفایل

استادیار

• Prosthesis Design and Development
• Orthosis and Exoskeleton Development
• Biomechanics
• +۵ مورد دیگر

Dr. Emily Rogers-Bradley serves as an Assistant Professor at the University of Calgary's Schulich School of Engineering with dual appointments in the Department of Mechanical and Manufacturing Engineering and Department of Biomedical Engineering. She is also a Full Member of the McCaig Institute for Bone and Joint Health and a Child Health & Wellness Researcher at the Alberta Children's Hospital Research Institute. As director of the Adaptive Bionics Lab, Dr. Rogers-Bradley leads innovative research at the intersection of precision machine design, biomechanics, and robotics for medical applications. Her educational foundation includes: PhD in Mechanical Engineering from Massachusetts Institute of Technology (2023) SM in Mechanical Engineering from Massachusetts Institute of Technology (2019) SB in Biomedical Engineering from Harvard University (2015) Dr. Rogers-Bradley's research program focuses on three interconnected domains: Prosthesis Innovation: Developing robotic prosthetic devices with variable-stiffness mechanisms that adapt to walking speeds and terrains for people with lower limb amputations, significantly improving biomechanical outcomes Exoskeleton Development: Creating wearable orthotic devices that correct gait abnormalities and enhance performance for specialized activities including rock climbing and downhill walking Biomechanical Analysis: Conducting detailed studies of human gait to optimize device functionality and assess real-world impact on users Her publication trajectory reveals a strategic focus on adaptive wearable robotics, with recent work emphasizing variable-stiffness prostheses that improve walking biomechanics across speeds. Her research spans fundamental biomechanics to practical rehabilitation applications, with notable contributions to EMG-controlled prosthetics and specialized devices for extreme activities. She has also pioneered pediatric applications through wearable technologies for developmentally delayed infants. Dr. Rogers-Bradley's scholarly excellence is recognized through multiple prestigious awards: Best Paper Award Finalist, IEEE/ASME Transactions on Mechatronics (2025) Evolve to Innovate - Best Roadmap and Financial Plans, Hunter Hub for Entrepreneurial Thinking (2025) Early Career Research Excellence and Undergraduate Teaching Excellence, Schulich Excellence Awards (2024) National Science Foundation Graduate Research Fellowship (2017) As an academic leader, Dr. Rogers-Bradley serves as Associate Editor for IEEE Transactions on Neural Systems and Rehabilitation Engineering and the IEEE RAS/EMBS International Conference on Biomedical Robotics. She teaches Biomedical Engineering Foundations (BMEN 600) and Machine Component Design (ENME 493), while her research is supported through university strategic initiatives in Child Health and Wellness (2020-2025) and One Health (2020-2025). The Adaptive Bionics Lab, located in MEB223, operates as a multidisciplinary hub where mechanical engineers, computer scientists, and clinicians collaborate to develop next-generation assistive technologies. The lab's work integrates advanced materials, control systems, and biomechanical analysis to create devices that adapt to real-world environments, with ongoing projects spanning from adult mobility restoration to pediatric developmental support.

Liam Palmerمشاهده پروفایل

استاد پژوهشی

• Chemistry
• Self-Assembly
• Supramolecular Materials
• +۳ مورد دیگر

Liam Palmer is a Research Professor of Chemistry at Northwestern University and serves as the Director of Research at the Center for Regenerative Nanomedicine. His academic journey began with a PhD in Chemistry from The Scripps Research Institute in 2005. Research Interests : Controlling materials through molecular design Directional intermolecular interactions (peptide hydrogen bonds, π-π stacking) Nano-to-macroscopic scale material engineering Biological and bio-inspired applications Self-assembly of soft materials Organic and hybrid material systems Scientific Contributions : Leading work in supramolecular polymerization pathways Innovations in light-driven actuation systems Developing bioactive nanofiber matrices Exploring ferroelectric properties in hybrid materials Advancing single-cell encapsulation technologies Investigating molecular dynamics in self-assembling systems

• Control Engineering
• Mechatronics
• Electronic Sensors
• +۲ مورد دیگر

Iain Anderson is a Professor at the University of Auckland affiliated with the Auckland Bioengineering Institute and College of Engineering Science and Biomedical Engineering . As Group Leader of the Biomimetics Laboratory , he specializes in dielectric elastomer technologies for soft robotics, haptic interfaces, and underwater applications. His work bridges academic research and commercialization through spin-out companies StretchSense (2012) and PowerOn Ltd. (2019) . Research Interests include: Dielectric Elastomer Switches for electric power switching Haptic Feedback Systems in motion-capture gloves Underwater Applications for electroactive polymers (diver-robot communication, hydrodynamic sensing) Scientific Recognition : Royal Society of New Zealand’s 2016 Pickering Medal for electroactive polymer innovation Supervision : Primary supervisor for 6 PhD candidates in polymer robotics, underwater sensing, and MAOI pharmacology Co-supervisor for 2 additional PhD projects

• Collective Intelligence
• Robotics
• Animal Behavior
• +۴ مورد دیگر

Liang Li is a Group Leader at the Max Planck Institute of Animal Behavior , leading the Embodied Collective Intelligence Lab . Her research bridges biology and robotics to study collective behavior through physical agent-environment interactions. Current position: Group Leader, Department of Collective Behavior Past roles: Project Leader at University of Konstanz and MPI Education: Ph.D. in Robotics and Control, College of Engineering, Peking University Research Interests Dr. Li's work focuses on embodied cognition , swarm intelligence , and fluid dynamics in biological and robotic systems. Key areas include hydrodynamic interactions in fish schooling, bio-inspired robotics design, and translating biological principles into robotic applications. Article Trends : Recent publications emphasize energy efficiency in swimming systems, hydrodynamic modeling for collective behavior, and virtual reality tools for behavioral studies. Interdisciplinary themes span robotics, fluid dynamics, neuroscience, and evolutionary ecology. Collaborations & Grants Her research involves international collaborations with institutions like University of Konstanz and Peking University. Grants include funding for robotic platforms (RoboTwin) and advanced pose estimation tools (DeepPoseKit). Labs & Teams The Embodied Collective Intelligence Lab is a small, interdisciplinary team specializing in bio-robotic systems. The group develops experimental robotic platforms and computational models to decode collective behavior rules.