جست‌وجوی استاد و پژوهشگر

Ismail Adeniranمشاهده پروفایل

مدرس ارشد

• Scientific Machine Learning
• Computational Physiology
• Biological Physics
• +۷ مورد دیگر

Dr. Ismail Adeniran is a Senior Lecturer at Manchester Metropolitan University, with a research focus on integrating Physics, Computational Science, and Scientific Machine Learning to address complex problems in cardiovascular, neurological, and musculoskeletal diseases. His academic background includes an undergraduate degree in Chemical Engineering from UMIST, an MSc in Computation, and a PhD in Biological Physics from the University of Manchester. Doctor of Philosophy (Biological Physics), University of Manchester Master of Science (Computation), UMIST Bachelor of Science (Chemical Engineering), UMIST His research expertise spans Computational Physiology, Scientific Software Development, Optimal Control, Deep Reinforcement Learning, Quantum Computing, and Mathematical Optimization. He applies these methodologies to understand pathophysiological mechanisms in conditions like Hypertrophic Cardiomyopathy, Atrial Fibrillation, and Heart Failure with Preserved Ejection Fraction, while developing therapeutic frameworks for these conditions. Recent publications emphasize in silico modeling of cardiac arrhythmias, particularly Short QT Syndrome and Atrial Fibrillation, using biophysically detailed models. His work investigates genotype-phenotype relationships, electromechanical coupling, and the impact of mutations on ion channels and myocardial mechanics. Dr. Adeniran also explores computational methods for Cryptoasset valuation, aiming to address volatility through novel quantum and classical algorithms. His full research portfolio includes collaborations in biophysical modeling, ECG analysis, and interdisciplinary approaches bridging physics, computation, and clinical applications.

Manuel Lealمشاهده پروفایل

استاد

• Behavioral Ecology
• Evolutionary Ecology
• Animal Communication
• +۳ مورد دیگر

Dr. Manuel Leal is a Professor of Biological Sciences and Director of Graduate Studies at the University of Missouri’s College of Arts and Science. His research focuses on behavioral and evolutionary ecology, particularly in lizards, exploring mechanisms shaping behavioral trait evolution and species diversity. The Leal Lab integrates behavioral, ecological, neurophysiological, and physiological studies within an evolutionary framework, often combining field and lab work with a focus on West Indian anoles. Dr. Leal holds a PhD from Washington University (2000). His awards include the Richard F. and Sharon A. Keister Faculty Enhancement Award (2021), Outstanding Departmental Contribution Award (2020), and the Abraham Eisenstark Faculty Fellow Award (2015). His research spans topics like habitat complexity’s impact on neuron numbers, 3D musculoskeletal modeling, and the evolutionary radiation of anoles. Key research themes include animal communication, behavioral drive, and divergence axes. His work often addresses how environmental factors influence cognitive performance, brain evolution, and predator-prey dynamics. Collaborative projects investigate sensory drive in signal evolution and the ecological impacts of predator morphology changes. Dr. Leal leads the Leal Lab, emphasizing interdisciplinary approaches to understand biodiversity and evolutionary processes. His lab’s studies often involve fieldwork in Puerto Rico and the Caribbean, linking neurobiology, morphology, and ecology to explain adaptive radiation and speciation mechanisms.

Allan Stirlingمشاهده پروفایل

دانشیار

• Virtual Reality
• Augmented Reality
• Anatomy Education
• +۲ مورد دیگر

Allan Stirling is an Associate Professor at the Faculty of Health Sciences & Medicine, Bond University, Australia. With a medical degree from Dundee University and surgical training in the UK, he combines clinical expertise with innovation in education technology. His work focuses on integrating virtual and augmented reality into clinical anatomy teaching, enhancing student engagement and understanding. Education : Bachelor of Medicine and Bachelor of Surgery (Dundee University), Member of the Royal College of Surgeons (UK), Master of Clinical Education (Bond University) Research Interests Stirling’s research centers on leveraging virtual reality and augmented reality to transform anatomy education. He explores how immersive technologies improve spatial understanding and clinical skill acquisition, particularly in remote or hybrid learning environments. His work also addresses equity in medical education and the impact of technological tools on student outcomes. Scientific Awards Australian Learning & Teaching Citation (2010) Vice Chancellors Quality Award for Teaching Excellence (2013) Faculty Award for Excellence in Teaching (2016) Teaching Expertise He teaches foundational medical subjects at Bond University, including Human Control Systems, Exploring Human Disease, and Clinical Anatomy. His approach emphasizes technology-driven pedagogy, ensuring students gain practical anatomical knowledge through interactive tools. Grants & Projects Co-leader of the Mixed Reality Research Lab (active since 2019), focusing on AR/VR applications in health sciences education

Qiong Huمشاهده پروفایل

استادیار

• Transportation Safety
• Predictive Analytics
• Vehicle Routing
• +۱ مورد دیگر

Qiong Hu is Clinical Assistant Professor of Business Analytics at University of Colorado Denver Business School. Her research integrates operations research and machine learning for transportation safety and efficiency optimization. Key expertise includes vehicle routing algorithms, driver risk prediction, and crash analysis using large-scale telematics data. Recent projects have analyzed over 20 million commercial driving miles to develop predictive safety models. Awards and Honors: Summer Research Awards (2023, 2024) Best Paper Award from Ergonomics Journal (2021) Multiple INFORMS Student Chapter awards

• Biomechanics
• Musculoskeletal Modeling
• Ergonomics
• +۳ مورد دیگر

Rachel Jones is a Lecturer in the Department of Biomedical Engineering at Stevens Institute of Technology's Charles V. Schaefer, Jr. School of Engineering and Science. She holds a PhD (2022) in Biomedical Engineering from The University of Texas at Dallas and a BS (2017) in Biomedical Engineering from Wichita State University. Her research focuses on biomechanics, including musculoskeletal modeling, ergonomics, and rehabilitation. Notable projects involve analyzing firefighter kinematics with SCBA weights, predicting sit-to-stand motions with exoskeletons, and studying balance strategies in elderly populations. Previously, Dr. Jones served as an Adjunct Faculty at NJIT's Newark College of Engineering (2023–2024) and conducted postdoctoral research there. She currently teaches courses like Engineering Physiology and associated labs.

• 3D Tissue Reconstruction
• Biomaterials Design
• Regenerative Engineering
• +۳ مورد دیگر

Hongjun Wang is the George Meade Bond Professor of Biomedical Engineering at the Charles V. Schaefer, Jr. School of Engineering and Science , Stevens Institute of Technology. He holds dual appointments in Biomedical Engineering and Chemistry and Chemical Biology, and has served as Founding Department Chair and Director of the Schaefer Center for Healthcare Innovation. PhD: University of Twente (2003), Nankai University (1998) Postdoctoral Research: Harvard Medical School, Wellman Center (2003-2005) His research spans 3D tissue reconstruction , biomaterials design , and nanomedicine , focusing on modular engineering strategies for cardiovascular and musculoskeletal tissues, microenvironment-guided stem cell differentiation, and theranostic nanostructures. Recent work includes vascularization techniques via sacrificial templates and immunomodulatory scaffolds. Hongjun Wang's selected publications highlight innovations in tissue engineering, such as channeled scaffolds for vascularization (Bioactive Materials, 2022), oxygen-generating nanomaterials for cancer therapy (ACS Nano, 2022), and graphene oxide-encapsulated microfibers for neuronal network control (Advanced Materials, 2020). His research also extends to photothermal therapies and tumor microenvironment modulation. Scientific Awards : Fellow of National Academy of Inventors (2019) Innovators Award, NJ Inventors Hall of Fame (2016) Multiple Jess N. Davis Awards (2009, 2015, 2021) Schaefer School Doctoral Advisor Award (2022) Inaugural Distinguished Scholar-Teacher Award (2023) Hongjun Wang holds multiple patents for tissue engineering methods, including pending patents on bottom-up cell assembly and localized dissolution printing. He serves on editorial boards for Molecules and Biomimetics , and participates in NIH/NSF review panels.

Saikat Palمشاهده پروفایل

دانشیار

• Biomechanics
• Musculoskeletal Disorders
• Human Movement Analysis
• +۷ مورد دیگر

Saikat Pal is an Associate Professor of Bio-Medical Engineering at NJIT, where he directs the Computational Orthopaedics and Rehabilitation Engineering (CORE) Lab and the Life Sciences Motion Capture (LSMC) Lab. His research focuses on understanding human movement mechanics, musculoskeletal disorders, and developing assistive technologies for patients with spinal cord injuries and cerebral palsy. He emphasizes interdisciplinary collaboration, leveraging motion capture systems and multiscale computational models to decode complex biomechanical phenomena. Education: PhD (2008), MS (2004), and BS (2002) in Mechanical and Computer Engineering from the University of Denver. Research Interests: Biomechanics of human movement Assistive robotics and rehabilitation engineering Neurological injury recovery mechanisms Motion capture technology applications Musculoskeletal computational modeling Key Contributions: Pioneered the LSMC Lab as a collaborative hub for engineers, clinicians, and designers. Recent work explores exoskeleton-assisted gait dynamics and transcutaneous spinal cord stimulation for bone health in spinal injury patients. His articles highlight advancements in human-robot interaction, cerebrovascular reactivity analysis, and pediatric gait abnormalities. Awards: Recognized with the 2023 Education Hero Award (NJBIZ), Saul K Fenster Innovation in Design Award (NJIT), and multiple young investigator honors for contributions to biomechanics and rehabilitation engineering. Advocacy: Committed to translating research into clinical solutions, training future engineers, and improving accessibility for persons with disabilities. His labs host over 20 collaborative projects annually, blending experimental and computational approaches to address unmet healthcare needs.

Wei Yinمشاهده پروفایل

استادیار

• Biomechanics
• Wearable Sensing
• Rehabilitation Robotics
• +۳ مورد دیگر

Dr. Wei Yin is an Assistant Professor at the School of Applied Engineering and Technology and holds a joint appointment in the Department of Mechanical and Industrial Engineering at the New Jersey Institute of Technology (NJIT). His research focuses on biomechanics, wearable robotics, and human-robot collaboration, with projects spanning AI-driven musculoskeletal modeling, cognitive decline assessment via dual-task testing, and exoskeleton development for rehabilitation. He collaborates with clinicians and researchers to bridge academic research and practical healthcare applications. Education: Ph.D., Industrial Engineering (Biomechanics), Texas A&M University (2022) M.E., Biomedical Engineering, Peking University (2017) B.S., Mechanical Engineering, Shanghai Jiao Tong University (2014) Research interests include wearable sensing systems, musculoskeletal modeling, and the integration of AI/ML for predictive biomechanical analysis. His work addresses challenges in rehabilitation engineering, ergonomic safety, and early detection of neurodegenerative diseases. Current projects include developing portable systems for cognitive-sensory motor testing and optimizing exoskeleton designs for clinical use. Publications highlight interdisciplinary approaches in biomechanics, with recent work emphasizing real-time sensor-based analysis and human-exoskeleton interaction dynamics. His collaborations with rehabilitation hospitals and organizations like YWCC aim to translate research into clinical tools. Grants and advising: While specific grants are not listed, his research is supported through collaborative institutional partnerships. No formal advisees are noted in the provided materials. Labs/Teams: Active in NJIT's biomechanics research groups and interdisciplinary collaborations with clinical partners.

Arijit Senguptaمشاهده پروفایل

دانشیار

• Industrial Workstation Design
• Biomechanical Modeling
• Engineering Anthropometry
• +۳ مورد دیگر

Dr. Arijit Sengupta is an Associate Professor in the Department of Engineering Technology at New Jersey Institute of Technology (NJIT), with a joint appointment as Program Director for the Occupational Safety and Health Engineering (OSHE) Masters Program under the Mechanical and Industrial Engineering Department. He holds a Ph.D. in Ergonomics/Industrial Engineering from Dalhousie University (1995), an M.S. in Mechanical Engineering from National Institute of Technology (1983), and a B.S. in Mechanical Engineering from the same institution (1976). His research focuses on industrial workstation design, biomechanical modeling, and physiological cost analysis of work. He teaches both graduate courses in occupational safety and health and undergraduate engineering courses. His work integrates ergonomic principles with computational tools like CAD and simulation software for optimizing human-machine interfaces and reducing workplace injuries. Key research trends in his publications include ergonomic evaluation of tools and workspaces, biomechanical risk assessment in healthcare and industrial settings, and material science applications in dental adhesives. His work emphasizes practical solutions for minimizing musculoskeletal strain and improving workplace safety standards. Dr. Sengupta has contributed to over 20 peer-reviewed articles since 1992, with recent work addressing stylus grip ergonomics and backpack carriage effects. His earlier research pioneered anthropometric modeling for workstation design and industrial belt safety analysis. No scientific awards are explicitly listed, though his sustained academic contributions highlight his expertise in applied ergonomics and engineering anthropology. His advising and grants activities are not detailed in the provided text, but his dual program director role suggests leadership in curriculum development and student mentorship within NJIT’s safety engineering programs.

Nirav Maniarمشاهده پروفایل

مدرس

• Knee Injury Biomechanics
• Hamstring Injury Prevention
• Data Analytics and Visualization
• +۳ مورد دیگر

Dr Nirav Maniar is a Lecturer in the School of Behavioural and Health Sciences at Australian Catholic University (ACU), specializing in biomechanics, musculoskeletal modeling, and injury prevention. He completed his PhD in knee injury biomechanics at ACU in 2018 and joined ACU as a full-time lecturer in 2019. His research focuses on lower-limb injury mechanics, particularly anterior cruciate ligament (ACL) injuries and hamstring strain injuries, utilizing motion capture, musculoskeletal modeling, and data analytics. Education: Bachelor of Exercise and Movement Science, Queensland University of Technology (2014) PhD in Knee Injury Biomechanics, ACU (2018) Research Interests: Biomechanics of ACL and hamstring injuries Data-driven injury prevention strategies Musculoskeletal modeling and simulation Rehabilitation protocols for musculoskeletal injuries Key Achievements: Awarded ACU Teaching Citation (2018) Sports Medicine Australia ASICS Medal (2017) Australian Postgraduate Award (2015–2017) Grants & Projects: Faculty of Health Science Early Career Researcher Mentorship Grant (The influence of hamstring strain injury rehabilitation on running biomechanics) Faculty of Health Sciences Project Grant (Hamstring activation and musculotendinous strain during exercises) Dr Maniar is affiliated with the Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre and serves as a HDR Supervisor (Provisional). He collaborates with industry partners like HumanTrak on motion capture technology validation.

Shahid Hussainمشاهده پروفایل

دانشیار

• Biomedical Robotics
• Rehabilitation Robotics
• Compliant Actuation
• +۶ مورد دیگر

Shahid Hussain is an Associate Professor of Biomedical Robotics, AI and Robotics at the University of Canberra. His work focuses on assistive and rehabilitation robotics, compliant actuation, robot mechanism design, nonlinear dynamics, and biomechanical modeling. He holds a PhD in Mechanical Engineering from the University of Auckland (2013) and previously worked as a lecturer at the University of Wollongong. Research Interests: Rehabilitation robotics (ankle, wrist, upper limb, gait rehabilitation) Compliant actuation systems and intrinsically compliant robots Robot mechanism optimization and parallel mechanisms Human-robot interaction and neuromechanical control MEMS and viscoelastic microbeam dynamics Engineering education innovations using AI and 3D printing Recent work highlights the integration of AI techniques (deep learning, reinforcement learning) into robotic systems for personalized rehabilitation solutions. He leads projects like the 'Novel Robot for Ankle Neurorehabilitation' (2025-2026) and has published over 80 papers in top journals. Currently accepting PhD students in rehabilitation robotics. Professional Activities: Editorial board member for IEEE Transactions on Human-Machine Systems and IEEE Transactions on Neural Systems Organized International Conferences on AI/Robotics (2025) and Sustainable Computing (2024)

Dustin Crouchمشاهده پروفایل

دانشیار

• Musculoskeletal Biomechanics
• Neuromuscular Coordination
• Prosthetics Integration
• +۴ مورد دیگر

Dustin Crouch is an Associate Professor of Biomedical Engineering at the University of Tennessee, Knoxville (UTK), where he leads the Upper Limb Assist Lab. Previously, he held positions as Assistant Professor (2017-2023) and Research Scientist/Postdoc at UNC-NCSU (2014-2017). He earned a PhD in Biomedical Engineering from VT-WFU (2014) and a BS in Aerospace Engineering from NC State (2006). His research focuses on musculoskeletal biomechanics, neuromuscular coordination, and assistive technologies for upper limb disabilities. He develops computational models, prosthetic control systems, and wearable exoskeletons to restore function. Key efforts include muscle-driven endoprostheses, nerve regeneration strategies, and biomechanical analysis of brachial plexus injuries. Notable achievements include the NSF CAREER Award (2020) and the Louis and Ann Hoffman Excellence in Research Award (2020). His lab collaborates with veterinary and medical experts at UTK, emphasizing translational research. Students include PhD candidates Patrick Hall (first graduate) and Caleb Stubbs. Publications span 30+ peer-reviewed articles in journals like Journal of Biomechanics and Annals of Biomedical Engineering , covering topics such as tendon replacement, exoskeleton design, and neural control systems.

Anthony Petrellaمشاهده پروفایل

دانشیار

• Biomechanics
• Computational Biomechanics
• Experimental Biomechanics
• +۷ مورد دیگر

Anthony Petrella is an Associate Professor and Department Head of Mechanical Engineering at the Colorado School of Mines. He serves as Director of the FEA Professional Certificate Program and leads the Computational Biomechanics Group. His academic career at Mines began in 2006 following a six-year industry role managing computational biomechanics research at Johnson & Johnson's DePuy Orthopaedics. Dr. Petrella's research spans computational and experimental biomechanics of the musculoskeletal system, with primary focus on orthopaedic applications. His group employs advanced nonlinear finite element methods, subject-specific anatomy modeling, and statistical techniques to investigate spine, hip, knee, and ankle mechanics. Recent work integrates machine learning for injury prediction and expands into additive manufacturing for biomedical applications. Analysis of Dr. Petrella's recent publications (2015-2024) reveals a dominant emphasis on spine biomechanics through automated finite element modeling and statistical shape analysis, with growing focus on ankle mechanics and machine learning applications. The research demonstrates consistent evolution from joint replacement studies toward comprehensive musculoskeletal system modeling and clinical outcome improvement. As director of the Computational Biomechanics Group, Dr. Petrella oversees researchers and graduate students in developing computational models of spinal function across healthy, degenerated, and surgically reconstructed states. His FEA Professional Certificate Program provides industry professionals with advanced structural and thermal analysis skills, reflecting his dual commitment to research innovation and engineering education.

Kirk McGilvrayمشاهده پروفایل

دانشیار

• Trauma and Disease of the Musculoskeletal System
• Fracture Healing Prediction
• Rotator Cuff Degeneration and Repair
• +۵ مورد دیگر

Dr. Kirk McGilvray is an Associate Professor in Mechanical Engineering at Colorado State University (CSU), affiliated with the School of Biomedical Engineering. He serves as the Associate Director of the Orthopaedic Bioengineering Research Laboratory (OBR Lab) and Associate Department Head for Graduate Programs. His work focuses on translating regenerative medicine and orthopaedic technologies from the lab to clinical practice, emphasizing biomechanical-biological interactions in musculoskeletal systems. Education: Ph.D. (2009), M.S. (2005), and B.S. (2004) in Mechanical Engineering and Biomedical Engineering from CSU. Key research areas include fracture healing prediction, rotator cuff repair, biomaterial assessment, and translational medicine. He leads the Translational Medicine Institute’s core faculty and collaborates on preclinical model development. Research Interests: Trauma/Disease of Musculoskeletal System, Fracture Healing, Biomaterials, Orthopaedic Devices Grants/Awards: NIH R01AR069734, NIH R21AR072371, TMI TAP Grant (2022), 2018 Outstanding Researcher Award Publications span advanced imaging in tendon healing, nanofiber scaffold applications, and novel diagnostic techniques like electromagnetic coupling for fracture monitoring. His labs (OBR Lab, TMI) pioneer innovations in bone and tendon repair, emphasizing clinical relevance and cross-disciplinary collaboration.

Teseo Schneiderمشاهده پروفایل

استادیار

• Computer Graphics
• Geometry Processing
• Numerical Simulations
• +۴ مورد دیگر

Teseo Schneider is an Assistant Professor in Computer Science at the University of Victoria, affiliated with the Faculty of Engineering and Computer Science. He holds a PhD from the University of Lugano (USI), where his thesis focused on bijective barycentric mappings. He completed a postdoctoral fellowship at New York University (NYU) under an SNF Early post-doc mobility grant. His research interests include geometry processing, computer graphics, numerical simulations, and differential geometry. Education: PhD in Informatics (2017, USI), MSc in Computer Science (2012, USI), BSc in Computer Science (2010, USI). Professional roles include lecturer for courses like Geometric Modeling and Computer Graphics , and co-supervisor for projects involving mesh generation and simulation. Research highlights include contributions to polyhedral finite elements, contact dynamics, and open-source libraries like PolyFEM and LibHip. His work bridges computational geometry with practical applications in biomechanics and engineering. Awards: SNF Early post-doc mobility fellowship (2017). Publications span high-impact venues such as SIGGRAPH, TOG, and Nano Letters, reflecting his expertise in simulation, meshing, and geometric algorithms.