جست‌وجوی استاد و پژوهشگر

Jonathan Clarkمشاهده پروفایل

استاد

• Robotics
• Legged Locomotion
• Dynamic System Analysis
• +۴ مورد دیگر

Dr. Jonathan Clark is a Professor and Director of the CISCOR at the FAMU/FSU College of Engineering's Department of Mechanical Engineering. His research focuses on bioinspired robotics, legged locomotion, and mechanical design, emphasizing robots for unstructured environments. He holds a Ph.D. (2004), M.S. (2000), and B.S. (1998) in Mechanical Engineering from Stanford University and Brigham Young University, respectively. Key research areas include dynamic climbing robots, compliant leg design, and shape deposition manufacturing. Notable projects involve the Sprawl family of robots and the development of multimodal robots like STARQ and Aquaclimber. His work bridges biomechanics and robotics, with applications in rescue, exploration, and industrial automation. Publications emphasize gait optimization, material science for robotics, and energy-efficient locomotion. Recent trends include bioinspired swimming robots and terrain-adaptive systems. Clark collaborates with biologists and engineers to advance robotics in complex environments. He advises on grants relating to dynamic systems and robotics education, and leads CISCOR's initiatives in advanced manufacturing and robotics innovation. Labs and teams include the CISCOR facility, focusing on prototyping and testing next-generation robotic platforms.

Seongjin Choiمشاهده پروفایل

استادیار

• Urban Mobility Data Analytics
• Spatiotemporal Data Modeling
• Deep Learning & Artificial Intelligence
• +۳ مورد دیگر

Seongjin Choi is an Assistant Professor in the Department of Civil, Environmental, and Geo-Engineering at the University of Minnesota, Twin Cities , where he began his role in January 2024. His research bridges Urban Mobility Data Analytics , Spatiotemporal Modeling , and Deep Learning to advance transportation systems. Affiliated with the Center for Transportation Studies , Minnesota Robotics Institute , and Data Science Initiative , he leads the Choi Research Group . Education: Ph.D., Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST), 2021 M.S., Civil and Environmental Engineering, KAIST, 2017 B.S., Civil and Environmental Engineering, KAIST, 2015 His research focuses on Urban Mobility Data Analytics and Deep Learning to optimize transportation systems. Key areas include: Spatiotemporal Data Modeling for forecasting and imputation Generative AI applications in transportation data Reinforcement Learning for Connected Automated Vehicles (CAV) Cooperative Intelligent Transport Systems (C-ITS) Recent publications in Transportation Science and Transportation Research Part C highlight his work on probabilistic traffic forecasting , deep generative models , and vision-language-action frameworks for autonomous systems. His methodologies often combine AI-driven analytics with real-time mobility optimization . Dr. Choi serves as: Associate Editor of The Journal of the Korean Society of Transportation (JKST) , 2023–Present Guest Editor for Journal of Advanced Transportation special issue on "Advanced Data Intelligence Theory and Practice in Transport 2023", 2023–2024 He actively seeks PhD students/postdocs for 2025 cohorts focused on machine learning for transportation challenges. Current projects include AI-enhanced traffic forecasting, CAV control, and urban air mobility (UAM) integration studies.

Aaron Youngمشاهده پروفایل

دانشیار

• Human Augmentation
• Wearable Robotics
• Assistive Devices
• +۷ مورد دیگر

Aaron Young is an Associate Professor in the Woodruff School of Mechanical Engineering at Georgia Institute of Technology and a program faculty member in the Biomedical Engineering School. He serves as Director of the Exoskeleton and Prosthetic Intelligent Controls (EPIC) Lab, focusing on robotic human augmentation through advanced control systems for prosthetics and exoskeletons. Education: Postdoctoral Fellow, University of Michigan (2014-2016) Ph.D., Northwestern University (2014) M.S., Northwestern University (2011) B.S., Purdue University (2009) Dr. Young's research addresses clinically viable control systems for wearable robotic devices, emphasizing intent recognition , EMG signal processing , and machine learning integration. His work targets mobility impairments from stroke, amputation, cerebral palsy, and neurological injuries, aiming to reduce metabolic costs, restore natural biomechanics, and enhance community ambulation. Key innovations include data-driven control frameworks , biomechanical terrain adaptation , and anthropometry-based personalization . His recent publications highlight advancements in deep learning for real-time biomechanics , EMG-informed joint estimation , and adaptive assistance systems . The EPIC Lab's facilities feature a terrain park with force plates , motion capture systems , and HumoTech simulation platforms for device testing. Scientific Awards: New Faces of Engineering (IEEE USA, 2017) Military Health System Team Award (2015) NSF Graduate Fellowship (2010) NDSEG Fellowship (2010) IEEE EMBC 3rd Place (2013) Projects include NSF-funded hip exoskeletons for stroke survivors, DoD-powered prostheses for amputees, and Pediatric knee exoskeletons for cerebral palsy. The lab cultivates interdisciplinary expertise in robotics , biomedical engineering , and human-machine interaction .

Bruno Fruchardمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction (HCI)
• Haptics
• Embodied Interaction
• +۳ مورد دیگر

Bruno Fruchard is a Researcher at Inria in the Loki team in Lille, France. He previously held a postdoctoral position at the Human-Computer Interaction (HCI) Lab at Saarland University, Germany, and completed his PhD in Computer Science focused on HCI at Télécom Paris (formerly Télécom ParisTech). His research centers on adaptable interaction techniques, novel interfaces, and haptic systems, with a focus on embodied interaction and wearable technologies. Key areas of interest include designing haptic feedback systems (e.g., TactJam, Weirding Haptics), exploring microgestures for wearables (e.g., MicroPress, SoloFinger), and applying user-centered design to sports analytics (e.g., lead climbing performance tools with the French Federation of Climbing). His projects span prototyping tools for on-body interfaces (BodyStylus, Polysense), evaluating recall-based interaction techniques, and critical design explorations like Eyecam, which examines sensing device ethics. Collaborative haptic design frameworks (CollabJam) and empirical studies on user memorization and interaction efficiency are also central to his work.

Ryan Chapmanمشاهده پروفایل

استادیار

• Musculoskeletal Biomechanics
• Wearable Sensors
• Optical Motion Capture
• +۷ مورد دیگر

Ryan Chapman is an Assistant Professor in the Department of Kinesiology at the University of Rhode Island (URI), leading the Biomechanics & Wearables Laboratory (BWL). His research focuses on musculoskeletal biomechanics, wearable sensor technology, and clinical decision-making, with applications in joint replacement, rehabilitation, and sports performance. Chapman earned his B.S. in Electrical Engineering from the University of St. Thomas, M.S. in Biomedical Engineering from the University of Iowa, and Ph.D. in Biomedical Engineering from Dartmouth College. He held teaching roles at Dartmouth before joining URI. His work integrates optical motion capture, machine learning, and AI to monitor human movement clinically and in daily life. Education highlights include: B.S.E.E., University of St. Thomas (200X) M.S., Biomedical Engineering, University of Iowa (20X) Ph.D., Biomedical Engineering, Dartmouth College (2018) Research interests emphasize wearable sensor validation, joint biomechanics post-surgery, and data-driven clinical tools. His studies on knee and hip arthroplasty recovery, published in journals like Journal of Biomechanics and Journal of Shoulder & Elbow Surgery , highlight his technical expertise. Awards include the 2022 URI College of Health Sciences Research Award and the 2019 ISTA Young Investigator Award. Chapman’s lab develops innovative systems for postoperative monitoring, such as gyroscopic alignment tools and IMU-based motion tracking. He advises students on biomechanical projects, including hip biomechanics in expectant mothers and neural network applications for joint angle quantification. His patents include leg alignment systems and movement monitoring technologies, reflecting his translational research impact.

Lisa Musculusمشاهده پروفایل

پژوهشگر

• Sport Psychology
• Cognitive-Motor Development
• Decision Making in Sports
• +۹ مورد دیگر

Lisa Musculus is a post-doctoral researcher at the Psychological Institute, Department of Performance Psychology, German Sport University Cologne. She holds a PhD in Psychology and is actively involved in research, teaching, and PhD supervision. Her work spans sport psychology, cognitive-motor development, and performance science, with strong interdisciplinary applications. Education: M.Sc. in Psychology, University of Cologne and University of Konstanz Dr. in Psychology, German Sport University Cologne Her research focuses on the interaction between cognitive and motor processes in sports, particularly in children and youth. She explores how these processes develop and contribute to expertise in sports such as soccer, climbing, table tennis, and esports. Using a developmental embodied-cognition framework, she conducts experimental, longitudinal, and training studies, integrating cognitive testing, motor assessment (including Vicon), and psychophysiological data. Her work has practical implications for talent identification, individualized training, and health and education programs. Her recent publications reflect a strong trend in decision-making, reinvestment under pressure, and perceptual-cognitive development in youth athletes. Topics include meta-analyses on option generation, psychophysiological reviews of reinvestment, and biomechanical studies of climbing expertise. Scientific Awards: Best Dissertation Award (Life Sciences), German Sport University Cologne, 2019 Member, Young Academy of the Academy of Sciences and Arts NRW, 2023 Early Career Research Prize, German Society of Sport Psychology, 2014 ASP Poster Prize (2nd Place), 2017 Health Psychology Congress Poster Prize, 2015 Lisa Musculus supervises several PhD students working on elite female sports performance, soccer decision-making, perceptual-cognitive development, reinvestment, and esports cognition. She is also involved in major research projects such as 'in:prove', 'Climbing to yourself', and collaborations with professional clubs like 1.FC Köln and DSC Arminia Bielefeld. She teaches courses in motor learning, sport psychology, health psychology, and research methods. Labs and Teams: She is part of the research group led by Prof. Markus Raab and collaborates extensively within the Department of Performance Psychology. Her work is embedded in the 'Mind in Motion' profile focus and involves interdisciplinary teams using advanced motor and cognitive assessment tools.

• Control of Dynamic Systems
• System Identification
• Optimal Estimation and Control
• +۳ مورد دیگر

David M. Bevly is an Assistant Professor in the Department of Mechanical Engineering at Auburn University, where he has been on the faculty since 2001. He directs the GPS and Vehicle Dynamics Laboratory (GAVLAB) and teaches a range of courses spanning system dynamics, vehicle dynamics, optimal estimation and control, and GPS navigation. Education Ph.D. Mechanical Engineering, Stanford University, 2001 M.S. Mechanical Engineering, Massachusetts Institute of Technology, 1997 B.S. Mechanical Engineering, Texas A&M University, 1995 Research Interests His research integrates control theory with real-world vehicle applications, focusing on control of dynamic systems, optimal estimation and control, GPS and sensor fusion, vehicle dynamics and control, and vehicle state estimation . Combining low-cost GPS receivers with inertial sensors, he develops algorithms that enable precise state estimation for passenger cars, agricultural tractors, and off-road platforms, enhancing safety and autonomy. Publication Trends Between 1999 and 2004, Bevly authored or co-authored more than a dozen journal and conference papers that collectively advance the fields of GPS-aided vehicle control and precision agriculture. The works explore theoretical contributions—such as dead-reckoning error analysis and yaw-dynamic modeling—and demonstrate practical implementations on farm tractors and high-speed ground vehicles. Awards & Recognition Best Paper of Session, 2000 ION-GPS Meeting SAE Arch T. Colwell Award (Myers Award) for Outstanding Student Paper, 2000 Laboratory & Teams As head of the GPS and Vehicle Dynamics Laboratory (GAVLAB) at Auburn, Bevly leads interdisciplinary projects that integrate mechanical design, real-time embedded systems, and field experimentation. The lab collaborates with industry partners and federal agencies to transition research results into commercial vehicle-safety and agricultural-autonomy products.

Bartosz Michalskiمشاهده پروفایل

استاد

• International Political Economy
• Economic Competitiveness
• Regional Economic Integration
• +۵ مورد دیگر

Bartosz Michalski serves as a Professor at the Institute of International Studies within the University of Wrocław , where his work focuses on international economic structures and policy frameworks. His institutional affiliation demonstrates deep integration with Central European academic networks through extensive research on regional economic dynamics. Michalski's research centers on international political economy , specifically examining economic competitiveness , regional integration processes , and technological sophistication in trade . His work frequently analyzes Visegrad Group economies, Germany-Poland trade relations, and middle-income trap dynamics through rigorous quantitative trade analysis. A distinctive feature of his scholarship involves connecting traditional trade metrics with contemporary security frameworks, particularly regarding technological dependencies and economic sovereignty. Analysis of his 15 most recent publications reveals consistent focus on Central European economic integration , with particular attention to export sophistication patterns , value chain positioning , and geopolitical trade dependencies . His methodological approach combines traditional trade statistics with innovative complexity indices to assess economic development trajectories. While no formal advising relationships or research grants are documented in the provided materials, Michalski maintains active scholarly engagement through extensive publication output across international journals and edited volumes. His research demonstrates sustained contribution to understanding Central European economic integration within global frameworks.

Patrick Lamمشاهده پروفایل

دانشیار

• Static Program Analysis
• Verifiable Software Specifications
• Software Engineering
• +۸ مورد دیگر

Patrick Lam is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, with a cross-appointment to the Cheriton School of Computer Science. His research focuses on applications of programming languages and static analysis to software engineering challenges, emphasizing verifiable software specifications and program understanding. Dr. Lam has held significant grants from NSERC and is recognized for his impactful work, including the First Decade High Impact Paper award for his Soot framework. Education: Doctorate in Computer Science, Massachusetts Institute of Technology, 2007 Master's in Computer Science, McGill University, 2000 Bachelor's in Joint Honours Mathematics and Computer Science, McGill University, 1999 Research Interests: His primary areas include static program analysis, verifiable software specifications, and compiler design, with a focus on linking high-level software designs to low-level implementations. He explores techniques like lightweight specifications and domain-specific languages to enhance software reliability and efficiency. Recent work also addresses empirical studies of programming practices and security through modularization. Publications: Dr. Lam's recent publications span advancements in static analysis tools (e.g., WasmWalker for WebAssembly), formal verification of code generated by AI tools like GitHub Copilot, and empirical studies on C++ immutability usage. His work bridges theoretical programming language research with practical software engineering applications, emphasizing tools for developer productivity and code reliability. Awards and Recognition: First Decade High Impact Paper recognition for "Soot – A Java Optimization Framework" (2010) Teaching and Grants: He has taught courses such as CS 447, ECE 453, and ECE 459 on software testing and performance programming. Active in grant-funded research, he secured NSERC Engage Grant (2013) and an ongoing NSERC Discovery Grant (2013–2018). Lam has also advised graduate students and contributed to the Software Engineering Program at Waterloo as its Director (2016–2019). Labs and Teams: His research group explores topics in program analysis and software engineering, with collaborations on projects like abstract debugging tools (GobPie) and static analysis frameworks (Soot). He maintains an open-source repository on GitHub, contributing to educational materials and research tools.

• Biomechanics
• Evolutionary Biology
• Comparative Biology
• +۷ مورد دیگر

Richard Blob is a Professor in the Department of Biological Sciences at Clemson University . His research focuses on the diversity and evolution of animal function , particularly in vertebrates, with an emphasis on reptiles, amphibians, and fishes . He teaches graduate courses in Vertebrate Biology , Biomechanics , and Evolutionary Ecology . Education: Ph.D., Evolutionary Biology, University of Chicago (1998) M.S., Evolutionary Biology, University of Chicago (1995) B.A., Individualized Studies (Paleobiology) & Biology, University of Pennsylvania (1992) His lab employs experimental biomechanics , phylogenetic comparative methods , and field sampling to study locomotion mechanics, bone strain, and environmental adaptation. Key areas include waterfall-climbing fish , turtle swimming kinematics , and deer antler evolution . Recent research trends highlight biomechanical tradeoffs in novel locomotor structures, hydrodynamic modeling for biomimetic design, and evolutionary transitions in aquatic-terrestrial environments. Collaborations span institutions like Brown University and the Society for Integrative and Comparative Biology. Scientific Awards: Alumni Distinguished Professor (2015–present) Teacher of the Year (2006, 2013) Dr. Blob advises PhD and Master’s students and contributes to editorial boards of journals like Proceedings of the Royal Society B . His lab maintains facilities in Jordan Hall (400D–401D) and Long Hall, with active participation in the Bob Campbell Geology Museum .

Luca Di Gasperoمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Combinatorial Optimization
• Metaheuristics
• +۱ مورد دیگر

Luca Di Gaspero is an Associate Professor of Information Technology at the University of Udine, specializing in metaheuristic optimization techniques. His research enhances combinatorial optimization through hybridization of algorithms for scheduling, routing, and industrial applications. Research spans artificial intelligence in optimization, scheduling algorithms for manufacturing/healthcare, and metaheuristic framework development. Recent publications focus on LLMs in optimization, parallel batch scheduling, and energy-efficient manufacturing. Key Contributions: Developed EasyLocal++ framework for local search algorithms Advanced multi-neighborhood simulated annealing techniques Applied metaheuristics to healthcare logistics and emergency services

• Organizational Behavior
• Team Processes and Dynamics
• Temporal Effects in Organizations
• +۳ مورد دیگر

Dr. Rebecca L. Mitchell is an Assistant Professor of Organizational Behavior at the University of Colorado Boulder's Leeds School of Business, where she holds the Stone Family Faculty Scholar designation. Her research focuses on three interconnected areas: how internal comparisons shape organizational outcomes, how time influences team processes and effectiveness, and how organizations can improve the implementation of diversity, equity, and inclusion practices. Her research interests span several key domains in organizational behavior. She examines how social comparison processes affect individual and team performance, investigating when comparisons are motivating versus detrimental. Her temporal research explores how time perspective, pacing, and coordination influence team dynamics and outcomes. In the DEI space, she moves beyond traditional training approaches to identify evidence-based practices that create meaningful organizational change. Her work combines rigorous methodological approaches with practical relevance for organizational leaders. Dr. Mitchell's publications appear in top-tier management journals including Academy of Management Journal, Journal of Management, Personnel Psychology, and Organizational Research Methods. Her research contributes both theoretical advances and practical insights for organizational leaders seeking to improve team effectiveness and create more inclusive workplaces. Stone Family Faculty Scholar Before entering academia, Dr. Mitchell gained practical experience as a healthcare consultant and university fundraiser, providing her with real-world organizational insights that inform her research. Her educational background includes an undergraduate degree in Organizational Studies from the University of Michigan and a PhD in Organizational Behavior from Michigan State University. Outside of her academic work, she enjoys hiking, rock climbing, and sewing.

• Rehabilitation Biomechanics
• Neuromuscular Fatigue
• Dysfunctional Breathing
• +۵ مورد دیگر

Dr. Samantha Winter is a Reader in Rehabilitation Biomechanics at Loughborough University's College of Engineering, Design and Physical Sciences, affiliated with the National Centre for Sport and Exercise Medicine (NCSEM). Her work bridges clinical rehabilitation, sports performance, and evolutionary biomechanics, with a focus on dysfunctional breathing and neuromuscular fatigue. Education: First Class BSc in Sport and Exercise Sciences (University of Birmingham), MSc Kinesiology, Master's in Applied Statistics, PhD Kinesiology (Penn State University), Post-graduate Certificate in Teaching in Higher Education, BSc Mathematics (Open University) Her research explores the application of opto-electronic plethysmography (OEP) for diagnosing breathing disorders, complexity analysis in neuromuscular fatigue, and evolutionary ergonomics of hominin hand evolution. She leads externally funded projects on real-time OEP feedback systems and fatigue mechanisms. Recent publications highlight trends in Breathing Analysis , Neuromuscular Fatigue , and Evolutionary Ergonomics , utilizing advanced methodologies like time-series modeling, EMG, and motion capture. Key collaborations include studies on chronic ankle instability and prehistoric tool use efficiency. Scientific Recognition: Senior Fellow of the Higher Education Academy (SFHEA), 2019 She has influenced curriculum design and student support systems nationwide, with grants focused on breathing retraining and sports injury prevention. Her work intersects the Lifestyle for Health and Wellbeing and Sport Performance research groups.

• Landscape Architecture
• Urban Greenery
• Dendroflora Analysis
• +۲ مورد دیگر

Dr. Joanna Renda serves as an Assistant Professor in the Department of Landscape Shaping and Design within the Faculty of Natural and Technical Sciences at John Paul II Catholic University of Lublin. Her academic work focuses on urban landscape architecture with particular emphasis on dendroflora analysis, public space design, and ecological restoration in Polish urban contexts, especially Lublin. Her research interests center on urban greenery dynamics, including seasonal aesthetic value of plants, public preferences for urban green spaces, and biodiversity challenges in housing estates. Notable projects include development of city parks, school grounds, and religious sites across Eastern Poland, with documented thesis supervision since 2013 covering landscape interventions in Lublin, Chełm, Siedlce, and Ukrainian territories. Dr. Renda's publication record since 1999 reveals consistent focus on Lublin's urban ecosystems, with recent works analyzing dendroflora decline in housing estates (2024) and public space preferences in historic districts (2023). Her research employs methodologies like SBE assessment and combines botanical precision with practical landscape solutions for urban environments. The Rector of KUL Award for Teams (4th Degree, 2023) The Rector of KUL Award for Teams (3rd Degree, 2022) The Rector of KUL Award for Teams (4th Degree, 2021) Nagroda Rektora KUL II stopnia (2019) Nagroda zespołowa IV stopnia (2017) She actively organizes the annual 'Landscape Around Me' Art Competition and 'Man in the Landscape' Photography Competition since 2018, while serving as course coordinator since 2019. Her extension work includes expert services for 'Lublin Fights Air Pollution' initiatives and dendrological trail development projects.

Jacob Motaمشاهده پروفایل

استادیار

• Muscle Function Assessment
• Neuromuscular Adaptations
• Occupational Health (Firefighters/Law Enforcement)
• +۴ مورد دیگر

Jacob Mota, Ph.D. , is an Assistant Professor in the Department of Kinesiology & Sport Management at Texas Tech University. His research focuses on neuromuscular adaptations and muscle function assessment across diverse populations including firefighters, law enforcement officers, and athletes. Ph.D. in Human Movement Science (2020), University of North Carolina Chapel Hill School of Medicine M.S. in Kinesiology (2016), Texas Tech University B.S. in Exercise and Sport Sciences (2014), Texas Tech University Dr. Mota's work examines the relationship between chronic health conditions and musculoskeletal injury risk in occupational athletes, with emphasis on resistance training adaptations and muscle quality analysis. His Neuromuscular and Occupational Performance Laboratory develops evidence-based strategies for injury prevention and performance optimization. Recent publications analyze firefighter health standards, muscle asymmetry impacts on occupational performance, and technological advancements in muscle assessment. His research integrates exercise physiology, biomechanics, and public safety health metrics. Outstanding Mentorship of Undergraduate Students in Research – University of Alabama (2022) Apple Polishing Award – TTU Mortar Board (2023) Dr. Mota teaches courses in applied exercise physiology and advanced strength conditioning, contributing to Texas Tech's Kinesiology undergraduate and graduate programs.