جست‌وجوی استاد و پژوهشگر

Ying Tianمشاهده پروفایل

استاد

• Reinforced Concrete Structures
• Earthquake Engineering
• Structural Evaluation
• +۳ مورد دیگر

Ying Tian is a Professor in the Department of Civil and Environmental Engineering and Construction at the University of Nevada, Las Vegas (UNLV), where she conducts critical research on structural integrity under extreme conditions. Her work addresses fundamental challenges in building safety through advanced analysis of reinforced concrete systems. Her primary research focuses on reinforced concrete structures, earthquake engineering, and structural evaluation under extreme loading scenarios. She investigates time-dependent behaviors, progressive collapse mechanisms, and seismic performance of flat-plate systems, with particular emphasis on sustained load effects, axial restraints, and innovative composite wall designs. Her methodologies integrate experimental testing with computational modeling to develop practical solutions for structural resilience. Analysis of her recent publications (2019-2025) reveals a dominant trend in time-dependent structural behavior under sustained loads, with 40% of her work examining progressive collapse resistance in reinforced concrete frames and flat-plate systems. Her research consistently bridges theoretical mechanics with practical engineering applications, focusing on load redistribution mechanisms, post-punching capacity, and cyclic performance of composite systems under seismic and dynamic loading conditions.

Sam Allenمشاهده پروفایل

مدرس ارشد

• Biomechanics
• Sports Science
• Exercise Physiology
• +۳ مورد دیگر

Sam Allen is a Senior Lecturer in Sports Biomechanics at Loughborough University's School of Sport, Exercise, and Health Sciences. He is affiliated with the National Centre for Sport and Exercise Medicine (NCSEM) and specializes in biomechanical research related to sports performance and injury prevention. His academic journey includes a BSc from the University of Birmingham (2000), an MSc from Loughborough (2004), and a PhD in triple jump simulation (2009). Education: BSc Sport and Exercise Sciences, University of Birmingham, 2000 MSc Sports Biomechanics, Loughborough University, 2004 PhD in Computer Simulation of Triple Jump, Loughborough University, 2009 Research focuses on biomechanics of running, sprinting, and jumping, with an emphasis on injury mechanisms, muscle morphology, and performance optimization. Notable areas include sex differences in biomechanics, hamstring injury prevention, and neuromechanical adaptations during exercise. Publications highlight advanced topics like machine learning for injury prediction, force-velocity relationships in sprinting, and biomechanical modeling of prosthetic limbs. His work bridges theoretical simulations and practical athletic performance improvements. No scientific awards are explicitly mentioned. Advising and grants sections remain unreported in the provided text. He is associated with the Lifestyle for Health and Wellbeing and Sport Performance research groups. Labs/teams: Active contributor to NCSEM and biomechanics research teams at Loughborough University.

Yannis Stylianouمشاهده پروفایل

استاد

• Speech Signal Processing
• Audio Signal Processing
• Biomedical Signal Processing
• +۳ مورد دیگر

Yannis Stylianou is Professor of Speech Processing at University of Crete and Senior Research Scientist at Apple. Former positions include AT&T Labs Research, Bell-Labs, and Toshiba Cambridge Research Lab. IEEE Fellow with PhD from ENST-Paris and over 200 publications. Research spans: Adaptive speech/audio modeling Neural speech synthesis/enhancement Biomedical signal processing Awards include: IEEE Fellowship French Ministry Research Fellowship ENST Graduate Scholarship Recent work focuses on neural TTS architectures, intelligibility enhancement, and multimodal synthesis. Organizes annual International Summer School on Speech Processing.

Cameron Taylorمشاهده پروفایل

استادیار

• Rehabilitation Engineering
• Neuromuscular Sensing and Stimulation
• Electromagnetics
• +۳ مورد دیگر

Cameron Taylor is an Assistant Professor in the Lampe Joint Department of Biomedical Engineering at UNC Chapel Hill and NC State University . His research focuses on neuromuscular sensing and stimulation , electromagnetics , and computational science . He teaches BMME 385 - Bioinstrumentation and leads the Hi-PHI Lab , which develops transformative human interfacing technologies to restore ability in persons with movement disorders. His work integrates magnetoquasistatics , neural interfacing , and muscle physiology . Ph.D. in Media Arts and Sciences (Biomechatronics) MIT, 2020 M.S. in Media Arts and Sciences (Biomechatronics) MIT, 2016 B.S. in Electrical Engineering Brigham Young University, 2014 A.S. Mesa Community College, 2012 His research interests include novel electromagnetic strategies for sensing and imaging the human body, with applications in wearable technologies and clinical interventions. His lab’s innovations include magnetomicrometry —a first-of-its-kind technology for real-time muscle tissue tracking in humans. Awards : - 2023 Promising Investigator Award from the Rocky Mountain Muscle Symposium Lab and Team : The Hi-PHI Lab, launching Fall 2025, seeks graduate students and postdocs with expertise in electromagnetics , algorithm development , or signal processing . Current advisees include Mahavir Prasad (PhD candidate focused on affordable human interfacing technologies) and John Goebel (PhD candidate working on bioelectronic equipment for tissue measurements). His work has been featured in Physics World , MIT Technology Review , and Electronic Design .

Joydeep Biswasمشاهده پروفایل

استاد مدعو

• Robotics
• Computer Vision
• Autonomous Systems
• +۴ مورد دیگر

Joydeep Biswas is an Adjunct Professor at the University of Texas at Austin's Computer Science Department. Previously, he was an Assistant Professor at the University of Massachusetts Amherst (2015–2019) and a post-doctoral fellow at Carnegie Mellon University (2015). He holds a Ph.D. and M.S. in Robotics from Carnegie Mellon University (2014, 2010) and a B.Tech. in Engineering Physics from the Indian Institute of Technology Bombay (2008). His research focuses on autonomous mobile robotics, emphasizing perception (dynamic world modeling), planning (motion planning, multi-robot coordination), and control for service robots and robot soccer. His work has garnered media attention, and he has contributed to the RoboCup Small Size League and Symposium committees. Key achievements include the 2015 Siebel Scholarship. He leads the Autonomous Mobile Robotics Laboratory (AMRL), advancing self-sufficient robots for human environments.

Raymond H. Cuijpersمشاهده پروفایل

دانشیار

• Cognitive Robotics
• Human-Robot Interaction
• Socially Assistive Robotics
• +۵ مورد دیگر

Raymond H. Cuijpers is an Associate Professor at Eindhoven University of Technology in the Human Technology Interaction group. His research focuses on Cognitive Robotics , Human-Robot Interaction , and Artificial Intelligence for cognitive agents, with applications in healthcare robotics and aging population support. PhD in Physics of Man from Utrecht University (2000) Postdoctoral research at Erasmus MC Rotterdam and Radboud University Nijmegen Key research areas include: Developing socially intelligent robots with proper social cue interpretation Hybrid AI approaches for real-world complexity handling Visual-haptic perception integration in human motor control Service robots for COPD patient assistance (KSERA project) Rescue robotics and tele-operation applications Recent research output (2025) includes studies on: Personalization in human-robot communication Optimal lighting for elderly visual perception Human-robot bonding mechanisms Interactive sensorized platforms for homecare (GUARDIAN) Audiovisual temporal integration in virtual environments He coordinates large-scale European projects like GUARDIAN and previously KSERA, contributes to sustainable development goals through healthcare robotics, and serves on editorial boards of leading journals including International Journal of Social Robotics . His work spans both technical robotics development and human-centric interaction studies.

• Medical Robotics
• Agricultural Robotics
• Infrastructure Robotics
• +۴ مورد دیگر

Chao Chen is an Associate Professor at the Department of Mechanical & Aerospace Engineering, Monash University, and Director of the Laboratory of Motion Generation and Analysis (LMGA). He holds an adjunct position as Associate Professor at the Chinese University of Hong Kong. His research focuses on medical, agricultural, and infrastructure robotics, emphasizing design, dynamics, control, and intelligence. Key innovations include the Robotic Transverse Profiler (delivered to the Australian Road Research Board in 2016), the 3D Printed Prosthetic Hand (2017 Award), and the Apple Harvesting Robot (2019 Global AI Expo). Dr. Chen has secured over $2M in lead research funding and contributed to $18M in collaborative projects, supported by ARC, Collier Charitable Fund, and International Science Linkages. His awards include the 2017 Innovation Award from the Australian Hand Therapy Association and scholarships from ASME and FQRNT. Education: PhD in Mechanical Engineering (details not explicitly stated in text) Research interests span medical robotics (surgery and rehabilitation), mobile robotics with advanced mobility, and reconfigurable mechatronic systems . LMGA’s mission is to address real-world challenges via robotic technologies, targeting healthcare, agriculture, and infrastructure sectors. Recent projects include fruit harvesting systems, drug delivery sensors, and embodied AI frameworks. Publications highlight advancements in robotic perception (e.g., LiDAR-camera fusion), control systems, and tactile-enabled grasping. His work aligns with UN Sustainable Development Goals, particularly in advancing industry innovation and infrastructure (SDG 9) and sustainable agriculture (SDG 2). Awards: 1996 Dean’s Honor List (Shanghai Jiao Tong University), 2004 ASME Scholarship, 2005 FQRNT Doctorate Scholarship Grants and collaborations include leading the ALF 1 Transverse Profiler and participating in the $18M ARC Smart Process Design Hub . Current projects address robotic fruit harvesting, hydrogel drug delivery systems, and AI-driven manipulation frameworks. Labs/Teams: Director of LMGA, collaborating internationally with institutions like IRCCyN (France), Shanghai Jiao Tong University, and Agriculture Victoria.

Aleksandar Mijatovicمشاهده پروفایل

استاد

• Probability
• Stochastic Processes
• Mathematical Finance
• +۵ مورد دیگر

Aleksandar Mijatović is a Professor of Probability at the Department of Statistics, University of Warwick, and Deputy Head of Department for Research. He was previously Chair in Probability at King's College London and Reader in Probability at Imperial College London. His research focuses on probability theory, stochastic processes, mathematical finance, numerical stochastics, and data science. He holds a Ph.D. in low-dimensional topology from Trinity College Cambridge and worked as a quantitative analyst in foreign exchange derivatives before academia. Research interests include stochastic analysis of processes with jumps, simulation methods (e.g., Monte Carlo), stochastic control, and applications in finance. He is a Fellow of the Alan Turing Institute and maintains a YouTube channel, Prob-AM, explaining his research. His work often bridges theoretical probability with practical applications in finance and data science. Key publications explore topics like reflected Brownian motion, Lévy processes, branching processes, and stochastic gradient descent. Collaborations with institutions like King’s College London and Imperial College London highlight his academic networks. His contributions span theoretical advancements and computational methodologies, with applications in risk management, option pricing, and algorithm development.

Michael Choiمشاهده پروفایل

استادیار

• Markov Chains
• Stochastic Algorithms
• Statistical Physics
• +۶ مورد دیگر

Michael Choi is an Assistant Professor in the Department of Statistics and Data Science at the National University of Singapore (NUS), affiliated with the Institute of Operations Research and Analytics (IORA). Previously, he held a joint appointment with Yale-NUS College (2022–2025) and worked at the School of Data Science (SDS) at the Chinese University of Hong Kong, Shenzhen. He earned his PhD from Cornell University’s School of Operations Research and Information Engineering (ORIE), advised by Prof. Pierre Patie, and holds an undergraduate degree in Actuarial Science from the University of Hong Kong. His research focuses on Markov chains and processes, stochastic algorithms (e.g., MCMC, simulated annealing, Langevin dynamics), and their applications in statistical physics, optimization, Bayesian statistics, information theory, game theory, and theoretical computer science. He explores interdisciplinary connections with quantum computation, control theory, and computational chemistry. Choi actively contributes to the academic community, serving as an Associate Editor of Statistics and Computing since August 2023. He has presented at numerous international conferences and workshops, including the IMS APRM 2026 (Hong Kong), INFORMS International Meeting 2025 (Singapore), and BayesComp 2025 (Singapore). His work bridges theoretical foundations with practical computational methods in stochastic systems.

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +۴ مورد دیگر

Jörg Müller is a Professor in the Department of Computer Science at the University of Bayreuth, Germany. His research focuses on Human-Computer Interaction (HCI), Virtual Reality (VR), and Augmented Reality (AR), with a strong emphasis on interaction techniques, public displays, and multimodal interfaces. He has held academic positions at multiple institutions including Aarhus University, HIIG, and RWTH Aachen University. His work spans technical contributions in haptic interfaces, biomechanical modeling, and user behavior analysis in VR environments. Notable projects include OptiTrap for acoustic levitation displays, SIM2VR for biomechanical testing in VR, and the boomRoom system for mid-air sound interaction. Müller collaborates extensively with industry partners like Telekom Laboratories and Siemens. Research interests include: interaction design for immersive environments, embodied interaction, and the social impact of extended reality technologies. His publications demonstrate leadership in CHI, UIST, and IEEE Visualization venues, with over 120 peer-reviewed articles since 2006. Current research priorities include optimizing VR workspace ergonomics, developing tactile feedback systems for mid-air interaction, and exploring public display networks for urban environments. Müller leads the Interactive Systems group at Bayreuth, supervising PhD students in VR engineering and spatial computing.

Ross Armstrongمشاهده پروفایل

دانشیار

• Musculoskeletal screening
• Hypermobility
• Systematic reviews
• +۴ مورد دیگر

Ross Armstrong is an Associate Professor in Musculoskeletal and Population Health at the University of Cumbria's Pears Cumbria School of Medicine, serving as Programme Lead for the Master of Research programme. He previously held roles at Edge Hill University and has extensive clinical experience in NHS, private practice, professional sports (including Liverpool FC and Gillingham FC academies), military, and international events like the Olympics and Commonwealth Games. His research focuses on musculoskeletal screening, hypermobility, systematic reviews, and dance medicine. He leads the Healthy Ageing Research Team and co-leads the Rehabilitation and Healthy Lives Group and Systematic Review Group. Education: BSc (Hons) Sports Science and Physiology (University of Leeds, 1998); MSc Physiotherapy (Teesside University, 2002); MSc Sports and Exercise Medicine (Queen Mary University, 2013); PhD (Musculoskeletal Screening: Implications for Injury and Performance, Edge Hill University). Research interests include injury prevention, clinical prediction rules, and dance medicine. He has contributed to over 50 peer-reviewed publications, Cochrane reviews, and book chapters. Current roles include editorial board memberships for journals like Telethusa and Frontiers in Sport and Active Living , plus external advisory roles for physiotherapy programs. Grants: £50,000 co-applicant for the EPSRC NortHFutures 2025 project on digital health technologies for frailty monitoring. Active in supervising PhD candidates with a focus on musculoskeletal health and rehabilitation. Labs/Teams: Leads the Healthy Ageing Research Team and collaborates with the Brazil/UK Dance Medicine and Science Network and Somatic Practice and Chronic Pain networks.

Enzo Mastinuمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Prosthetics and Neuroprosthetics
• Embedded Systems
• +۴ مورد دیگر

Enzo Mastinu is an electronic engineer specialized in embedded systems for biomedical applications, holding an Associate Professor qualification in Bioengineering. He earned his bachelor's and master's degrees in electronic engineering from the University of Cagliari and a PhD in biomedical signals and systems from Chalmers University of Technology, Sweden. His research focuses on advanced prosthetics and neuroprostheses for upper limb amputations, incorporating embedded systems design, control algorithms, sensory feedback, signal processing, AI, and osseointegration. Key projects include the HAND and HAND2 initiatives, funded by the EU and the Italian Ministry of Research, aiming to develop semi-autonomous prosthetic hands. He has published 25 journal articles (75% in Q1) and 21 conference papers, contributing to a PCT patent. Mastinu is a Senior Member of IEEE EMBS and RAS, reviews for ~90 journals/conferences, and edits Transactions on Medical Robotics and Bionics (IEEE) and Scientific Data (Nature). He has supervised ~40 students across PhD, master's, internships, and postdocs, and teaches courses in biomedical engineering and STEM education. His scientific awards include the Marie Skłodowska-Curie Fellowship (2021), National Qualification as Associate Professor (2024), and a Young Researcher Grant (2025). Research emphasizes clinical implementation of prosthetics with neural feedback and intuitive control, as highlighted in high-impact journals like the New England Journal of Medicine.

Satish Nagarajaiahمشاهده پروفایل

استاد

• Structural Dynamics
• Earthquake Engineering
• Seismic Isolation
• +۱۲ مورد دیگر

Satish Nagarajaiah is a tenured Professor at Rice University with joint appointments in the Civil & Environmental Engineering Department , Mechanical Engineering Department , and affiliation with Materials Science and Nano-Engineering . His research spans structural dynamics , earthquake engineering , seismic isolation , and adaptive stiffness systems , with significant contributions to negative stiffness , smart tuned mass dampers , and strain sensing using nanomaterials . Joint appointments across Civil, Mechanical, and Materials Science departments Developed 3D-BASIS software for nonlinear dynamic analysis of base-isolated structures Recipient of NSF CAREER Award , ASCE Moissieff Award , and multiple ASCE medals Research Interests include: Nonlinear dynamic analysis of seismic systems Adaptive passive stiffness and control mechanisms Machine learning and computer vision for sparse structural identification Nanocomposite-based strain sensing (contact/noncontact) Development of smart skins and optical sensors for structural health monitoring Scientific Awards include: NSF CAREER Award (1998-1999) ASCE Moissieff Award (2015) Raymond C. Reese Research Prize (2017) Nathan M. Newmark Medal (2020) George W. Housner Medal (2025) Fellow, U.S. National Academy of Inventors (2019) Distinguished Member, ASCE (2021) Editorial Leadership includes Senior Editor of Mechanical Systems and Signal Processing (Elsevier, 2017-2019, 2024-present), Editor of Structural Control and Health Monitoring (Wiley, 2008-2022, 2024-present), and Editor-in-Chief of Structural Monitoring and Maintenance (Techno-Press, 2014-2024).

Jean Ponceمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Robotics
• +۳ مورد دیگر

Jean Ponce is a Professor of Computer Science at Ecole Normale Superieure (ENS) in Paris and a Part-Time Global Distinguished Professor at New York University's Courant Institute of Mathematical Sciences and Center for Data Science (CDS). He previously served as Director of the ENS Computer Science Department (2011-2017) and held positions at Inria (2017-2022), University of Illinois at Urbana-Champaign (1998-2006), MIT, Stanford, and Inria (1982-1985). Academic Leadership: Scientific Director of PRAIRIE Interdisciplinary AI Research Institute in Paris Startup Involvement: Co-founder and CEO of Enhance Lab (2022) Editorial Roles: Senior Editor-in-Chief of International Journal of Computer Vision (2019-2022) Conference Leadership: Chair of IEEE CVPR (1997,2000), ECCV (2008), and upcoming ICCV (2023) Research Focus: Computer vision, machine learning, robotics, and AI with applications in exoplanet imaging, 3D reconstruction, and image quality assessment. His work bridges statistical learning and deep learning approaches. Awards: IEEE Fellow (2003) ELLIS Fellow (2019) ERC Advanced Grant (2011) IEEE CVPR Longuet-Higgins Prizes (2016,2020) ICML Test-of-Time Award (2019) Patents & Publications: Co-author of influential textbook Computer Vision: A Modern Approach (translated into Chinese, Japanese, Russian). Holds two US patents and one pending French patent. Google Scholar h-index of 78 with over 55,000 citations.

Maria Violeta GUIMANمشاهده پروفایل

دانشیار

• Biomechanics
• Acoustics
• Composite Materials
• +۵ مورد دیگر

Associate Professor Dr. Maria Violeta GUIMAN is affiliated with the Department of Mechanical Engineering at the Transilvania University of Brașov. Her research focuses on biomechanics, technical acoustics, composite materials, and material resistance. Key interests include acoustic properties of materials, noise insulation, and structural dynamics. She has authored works such as Acustică Tehnică: Îndrumar de Laborator (2017) and contributed to studies on violin acoustics, wood properties, and sports biomechanics. Her publications emphasize innovative applications of composite materials and coatings in acoustics and environmental contexts. Recent work explores tuning acoustic properties via coating systems, porous composites for noise reduction, and cellulose-based materials. She has also investigated biomechanical aspects of sports movements, such as long jump kinematics, and structural responses under dynamic loads. No specific awards or student advisees are listed. Her academic contributions include experimental and theoretical studies on vibration analysis and material characterization, as well as collaborations on biomechanical motion capture technologies.