جستجوی استاد راهنمای دانشگاهی

Gerard A. Ateshian is the Andrew Walz Professor of Mechanical Engineering and Professor of Biomedical Engineering at Columbia University, where he has been a faculty member since 1991. He also served as Chair of the Department of Mechanical Engineering from 2011 to 2014 and is the founding director of the Musculoskeletal Biomechanics Laboratory (MBL), established in 1996. Education: BS (1986), MS (1987), MPhil (1990), and PhD (1991) in Mechanical Engineering from Columbia University. Research Interests: Professor Ateshian's research focuses on the mechanics of soft biological tissues , particularly articular cartilage . His work integrates theoretical, experimental, and computational approaches to understand cartilage lubrication, tissue engineering, and growth and remodeling in living tissues. He has extended continuum mechanics frameworks to model complex biological phenomena such as mass transport, osmotic effects, and reactive mechanics in tissue mixtures. His recent efforts include developing open-source computational tools (FEBio) and translating research into clinical treatments for osteoarthritis . Scientific Awards: H.R. Lissner Medal, ASME (2017) OARSI Basic Science Award (2013) Columbia Engineering Alumni Association Distinguished Faculty Teaching Award (2012) Great Teacher Award, Society of Columbia Graduates (2002) YC Fung Young Investigator Award, ASME (1997) Fellow: ASME, BMES, AIMBE Advising and Mentorship: Professor Ateshian has advised numerous PhD students, including recent graduates Vince Sise and Katherine Spack , who completed their dissertations on cartilage fatigue and osteochondral allografts, respectively. His lab actively mentors students from both Mechanical and Biomedical Engineering programs. Laboratory and Collaborations: He directs the Musculoskeletal Biomechanics Laboratory (MBL) , which collaborates closely with the Cellular Engineering Laboratory of Prof. Clark Hung and with Dr. Jeffrey Weiss at the University of Utah on computational modeling (FEBio). He also collaborates with Columbia University Medical Center faculty on clinical translation of cartilage research.

• Soft tissue mechanics
• Articular cartilage mechanics and lubrication
• Cartilage tissue engineering
• +۷ مورد دیگر

Leia Stirling is an Associate Professor in Robotics and Industrial Operations Engineering at the University of Michigan, serving as Associate Chair of Undergraduate Studies in Robotics. She is Core Faculty at the Center for Ergonomics and Affiliate Faculty at the Space Institute. Her research focuses on human-system interactions in robotics, biomechanics, and decision support systems. Key areas include wearable motion sensing for decision-making, co-adaptive exoskeleton algorithms, and space mission operations tools. Her group blends human factors, biomechanics, and robotics to design technology that enhances human performance in complex tasks. She leads the Stirling Group, which develops metrics for injury risk assessment, exoskeleton usability, and space crew readiness evaluation. Her lab’s work has applications in industrial safety, healthcare rehabilitation, and astronaut training. Research Thrusts: Wearable Motion Sensing: Creates metrics for musculoskeletal injury risk, balance rehabilitation, and quantitative assessment of agility/coordination. Exoskeleton Usability: Develops co-adaptive control algorithms and studies trust dynamics between users and wearable robots. Space Operations: Designs tools for astronaut readiness, human-aware robotics, and extravehicular activity planning. Recent work includes studies on neonatal ventilation systems, space inspection trajectory optimization, and augmented reality for sensorimotor assessments. She teaches robotics courses including ROB 204: Introduction to Human-Robot Systems. Her work has been featured at IROS 2023 and NASA-related initiatives. Lab Website: stirlinglab.org

• Robotics
• Biomechanics
• Human Factors
• +۵ مورد دیگر

Stephen Parada is a Professor at the Medical College of Georgia, with academic appointments in the Department of Orthopedic Surgery. He is actively involved in clinical education and research, contributing significantly to orthopedic surgery, particularly in shoulder and elbow arthroplasty and biomechanics. Research Interests: His work spans orthopedic surgery, biomechanics, surgical outcomes, and the application of artificial intelligence in patient education. He focuses on improving clinical outcomes in total joint replacement, understanding shoulder instability, and evaluating publication trends in orthopedic research. The recent publications indicate a strong trend toward evidence-based orthopedics, with emphasis on predictive modeling of surgical outcomes, implant longevity, and the role of digital tools in patient communication. His research bridges clinical practice with academic scholarship. Scientific Awards: AAOS Kappa Delta Award, AAOS, 2025 Resident Research Award, Georgia Orthopaedic Society, 2022 GME Exemplary Teaching Award, Medical College of Georgia, 2021 GME Exemplary Teaching Award, Medical College of Georgia, 2020 Teaching and Service: Dr. Parada teaches key surgical clerkships and orthopedic externships. He serves on the AAOS Exhibits Committee and holds leadership roles in the Georgia Shoulder & Elbow Society. His professional service includes roles in ASES, AANA, and AAOS annual meetings, reflecting active engagement in national orthopedic communities. Laboratories and Research Teams: He is involved in Orthopaedic Research at the Medical College of Georgia (2023–present), contributing to a collaborative environment focused on advancing musculoskeletal care through innovation and education.

• Orthopedic Surgery
• Shoulder and Elbow Surgery
• Total Joint Arthroplasty
• +۵ مورد دیگر

Andrew L. Feldman, MD , is a Professor of Laboratory Medicine and Pathology at Mayo Clinic, Rochester, Minnesota. He specializes in the molecular pathogenesis of T-cell lymphomas, focusing on genetic abnormalities, biomarkers, and individualized therapies. His work bridges next-generation sequencing (NGS) infrastructure and translational research to improve lymphoma diagnosis and subclassification. Primary Appointment: Consultant, Division of Hematopathology Joint Appointment: Consultant, Division of Experimental Pathology and Laboratory Medicine Education: MD, Brown University (1991) BA, Brown University (1986) Clinical Fellowship, Hematopathology, National Cancer Institute (2006) Research Interests: Dr. Feldman's research explores the genetic basis of T-cell lymphomas, which are often fatal. By characterizing mutations (e.g., DUSP22 , TP63 , STAT3 ) and applying bioinformatics, his team develops diagnostic tests to predict therapeutic responses. He also investigates how genetic heterogeneity impacts lymphoma classification and treatment strategies. Scientific Awards: Berard-Dorfman Founders Award, Society for Hematopathology (2015) Recipient Medal, Pedro Ruiz Gallo National University, Peru (2007) Artemis Fellowship, Nikolas Symposium XV, Athens (2005) NIH Fellows Award for Research Excellence (2003, 2000) First Prize, Resident Paper Competition (1999) Daland Award, New England Cancer Society (1999) Outstanding Junior Resident Teaching Award (1996) Joseph Collins Foundation Scholarship (1988) Advising and Grants: Dr. Feldman has directed the Mayo Clinic Biospecimens Core and led NCI-funded projects like the Lymphoma Specialized Program of Research Excellence (SPORE) and Molecular Classification of Anaplastic Large Cell Lymphoma . He has served on NCI Lymphoma Steering Committee and Mayo Clinic's NGS Infrastructure Subcommittee. Laboratory and Collaborations: His lab collaborates with the International Lymphoma Study Group , Mayo Clinic Comprehensive Cancer Center , and Association for Molecular Pathology . He co-developed clinical trials linking molecular profiling to therapeutic targets and contributed to the Lymphoma/Leukemia Molecular Profiling Project (LLMPP) Research Consortium.

• Molecular Pathogenesis
• T-cell Lymphoma
• Lymphoma Genetics
• +۵ مورد دیگر

Young-Hui Chang serves as a Professor in the School of Biological Sciences at the Georgia Institute of Technology, where he additionally holds the position of Associate Dean of Faculty for the College of Sciences. He directs the Comparative Neuromechanics Laboratory, focusing on interdisciplinary research at the intersection of biology, mechanics, and neural systems. His research investigates fundamental principles of movement control through integrated analysis of neural signaling, musculoskeletal biomechanics, and environmental physics. Chang examines adaptive processes in response to acute/chronic changes, with applications spanning clinical rehabilitation and elite athletic performance. Primary research domains include neuromechanics, molecular/cellular/tissue biomechanics, and neural control systems, supported by his leadership in the Comparative Neuromechanics Lab. Chang maintains significant institutional roles including IRI Core Faculty in Bioengineering and Bioscience Robotics, facilitating cross-disciplinary collaboration in robotics and neural engineering. His work bridges theoretical neuroscience with practical biomechanical applications, emphasizing real-world translation of movement science principles.

• Neuromechanics
• Biomechanics
• Neuroscience
• +۷ مورد دیگر

Ben Seiyon Lee is an Assistant Professor in the Department of Statistics at George Mason University's College of Science. His work bridges computational statistics, climate modeling, and environmental risk assessment. Education: PhD in Statistics, Pennsylvania State University (2020) Lee specializes in computational methods for high-dimensional spatiotemporal data and uncertainty quantification in climate models. His research explores climate change impacts on extreme hydrological events, wildfire emissions, and medical decision-making. Recent publications focus on Bayesian spatiotemporal frameworks for extreme precipitation analysis, zero-inflated spatial models, and multisector uncertainty quantification. His work addresses challenges in flood risk assessment, agricultural yield projections, and healthcare compliance metrics.

• Computational Statistics
• Spatiotemporal Modeling
• Climate Change Impact Analysis
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Anthony A Gatti is a Postdoctoral Scholar at Stanford University's Wu Tsai Human Performance Alliance and School of Medicine. His research integrates biomechanics , medical imaging , and machine learning to advance musculoskeletal health diagnostics, particularly focusing on knee osteoarthritis and exercise physiology. Education : Ph.D. in Rehabilitation Science (McMaster University, 2021), M.Sc. in Rehabilitation Science (McMaster University, 2015), B.Sc. in Kinesiology (McMaster University, 2013) His research develops automated tools for quantifying knee anatomy and integrating anatomical data with biomechanical models . These methods analyze acute responses to exercise and long-term joint degeneration, leveraging MRI , deep learning , and statistical shape modeling . Recent publications emphasize AI-driven segmentation , exercise-induced cartilage changes , and biomechanical simulations , spanning journals like Magnetic Resonance in Medicine and Arthritis & Rheumatology . Trends include machine learning validation for clinical predictions and open-source tool development for musculoskeletal analysis. Scientific Awards : CIHR Postdoctoral Fellowship (top 1%), Mitacs Accelerate Entrepreneur, Forge Student Start-Up Competition Winner, multiple scholarships from McMaster University He founded NeuralSeg , a company commercializing deep learning-based MRI segmentation technology. Collaborations include Stanford's Digital Athlete Moonshot Project with advisors like Scott Delp and Garry Gold.

• Biomechanics
• Medical Imaging
• Machine Learning
• +۷ مورد دیگر

Meisam Asgari is an Assistant Professor in the Department of Medical Engineering at the University of South Florida. He holds a Ph.D. in Mechanical Engineering from McGill University (2015), with postdoctoral training at Northwestern University (2018–2020) and McGill University (2016–2018). His research focuses on biomechanics, cardiovascular diseases, biomimetic design, and functional gradients in biological materials. He teaches courses such as Transport Phenomena in Biomedical Engineering and Biomechanics. Education: Ph.D. Mechanical Engineering, McGill University, 2015 M.Sc. Solid Mechanics, Isfahan University of Technology, 2011 B.Sc. Mechanical Engineering, Isfahan University of Technology, 2007 Awards: NSERC Postdoctoral Fellowship (2018–2020) McGill Engineering International Tuition Award (2011–2014) Outstanding Teaching Assistant Award, McGill (2015) His research integrates experimental and computational methods to study vascular diseases, biomaterials for tissue engineering, and structural adaptations in biological systems like crustacean exoskeletons. Recent work includes developing decellularized aortic grafts and investigating collagen mechanics in diseased tissues. Publications span Acta Biomaterialia , Scientific Reports , and Journal of the Mechanical Behavior of Biomedical Materials , emphasizing biomechanics and material characterization. His work bridges engineering and biology to address clinical challenges in cardiovascular and musculoskeletal systems.

• Biomechanics
• Cardiovascular Diseases
• Biomimetic Design
• +۳ مورد دیگر

Steve Collins is an Associate Professor of Mechanical Engineering at Stanford University, with a courtesy appointment in the Department of Bioengineering. His research focuses on wearable robotics, biomechanics, and human-machine interaction. He leads projects on exoskeleton optimization, prosthetic design, and energy-efficient robotic actuators. His work aims to improve mobility for older adults and individuals with mobility impairments through innovative assistive technologies. Research Interests: Collins explores biomechanical principles underlying human movement, exoskeleton torque control strategies, and the design of devices that reduce metabolic costs during walking. His lab develops both hardware (e.g., exoskeleton emulators) and software (e.g., AddBiomechanics modeling tools) to advance assistive technologies. Key Contributions: He pioneered human-in-the-loop optimization methods for exoskeleton control, demonstrated energy-saving designs for ankle exoskeletons, and investigated how exoskeletons can enhance balance and reduce fall risks. His team also developed the 'Tripod' prosthesis emulator and electrostatic clutch systems for energy-efficient actuators. Grants & Collaborations: His work is supported by NSF grants (e.g., NRI: Small grant for exoskeleton control) and industry partnerships. He collaborates with clinicians to translate robotic innovations into clinical applications for amputees and aging populations. Labs & Teams: His research is conducted in Stanford's robotics and biomechanics facilities, focusing on interdisciplinary projects at the intersection of mechanical engineering, bioengineering, and computer science.

• Biomechanics
• Robotics
• Prosthetics
• +۳ مورد دیگر

Carolynn Patten is a Professor in the Department of Neurobiology, Physiology and Behavior at the University of California, Davis, with affiliations in Physical Medicine and Rehabilitation. Her work bridges neuroscience, biomechanics, and clinical rehabilitation to advance neurorehabilitation for individuals with motor impairments. Research Interests: Dr. Patten's research investigates the neural basis of human movement, focusing on motor dysfunction in aging and neurological conditions such as stroke. She employs transcranial magnetic stimulation (TMS), EEG, EMG, biomechanical analysis, and clinical assessments to study motor recovery mechanisms and neuroplasticity. Her work aims to develop biomarkers of recovery and improve rehabilitation efficacy. Publication Trends: Recent publications emphasize computational modeling of musculoskeletal systems, gait analysis post-stroke, and assessment tools for locomotor efficacy. These works reflect a strong trend toward integrating engineering, neuroscience, and clinical practice to enhance rehabilitation outcomes. Scientific Awards: No awards listed in the provided text. Advising and Grants: While specific students and grants are not mentioned, her active publication record suggests ongoing mentorship and externally funded research in neurorehabilitation and translational neuroscience. Labs and Teams: Her research involves interdisciplinary collaboration across neuroscience, bioengineering, and rehabilitation medicine, likely within UC Davis research centers focused on movement disorders and neurorecovery.

• Motor Control
• Neurorehabilitation
• Neuroscience
• +۷ مورد دیگر

Dr. Andrew Best is an Assistant Professor of Biology at Massachusetts College of Liberal Arts (MCLA), specializing in biological anthropology with a focus on human physiological evolution. His primary research examines the role of sweating in human evolution, contemporary human sweat characteristics, and the metabolic limits of endurance performance. He holds a Ph.D. from the University of Massachusetts (2021), an M.A. from the University of Massachusetts (2016), an M.A. from Quinnipiac University (2006), and a B.A. from Saint Michael’s College (2004). Dr. Best teaches courses including BIOL 101: Biology Seminar for Majors , BIOL 342/343: Anatomy and Physiology , BIOL 440: Exercise Physiology , and BIOL 484: Biomechanics . His research integrates evolutionary biology, thermal physiology, and exercise science to explore how human metabolic and thermoregulatory systems have evolved to support extreme endurance activities. Key projects include studying sweat gland density variation across populations and the physiological constraints of ultra-endurance events. His publications span topics such as ultramarathon energy expenditure, strength training’s impact on endurance, and primate sweat gland evolution. He actively participates in academic conferences and collaborates with researchers globally. No scientific awards are explicitly noted in the provided materials. Dr. Best’s work reflects interdisciplinary approaches to understanding human biological adaptation, with ongoing projects likely extending into nutritional strategies for endurance athletes and comparative analyses of primate thermoregulation systems.

• Biological Anthropology
• Human Evolution
• Human Physiology
• +۳ مورد دیگر

Omer T Inan is the Regents Entrepreneur Endowed Chair and Assistant Professor at the School of Electrical and Computer Engineering (ECE) at Georgia Institute of Technology. His work bridges biomedical engineering and wearable technology, focusing on non-invasive physiological monitoring for chronic disease management. He holds a Ph.D. in Electrical Engineering from Stanford University (2009) and previously worked at Countryman Associates (2007-2013) as Chief Engineer, developing professional audio systems. Education: B.S., M.S., Ph.D. in Electrical Engineering, Stanford University (2004-2009) His research interests include medical devices for home-based cardiovascular monitoring, musculoskeletal sound analysis, and neuromodulation of stress responses. He has pioneered technologies for heart failure patients, PTSD treatment, and osteoarthritis diagnostics. Recent publications highlight innovations in AI-driven cardiac parameter estimation, motion artifact removal in seismocardiograms, and multimodal stress tracking via wearables. His work spans biomedical signal processing, clinical translation, and portable diagnostic systems. Scientific Awards 2024 IEEE Fellow 2023 IEEE Distinguished Lecturer 2023 American College of Cardiology Fellow 2022 American Institute for Medical and Biological Engineering Fellow 2021 Academy Award for Technical Achievement (The Oscars) 2018 ONR Young Investigator Award 2018 NSF CAREER Award At Georgia Tech, Inan leads the Inan Research Lab, which develops technologies for physiological monitoring and modulation. Projects include musculoskeletal sound analysis for joint health, non-invasive cardiovascular sensing, and neuromodulation to treat PTSD via vagal nerve stimulation.

• Biomedical Engineering
• Medical Devices
• Physiological Monitoring
• +۷ مورد دیگر

Steven R. Caliari is an Associate Professor in the Department of Chemical Engineering with a secondary appointment in Biomedical Engineering at the University of Virginia’s School of Engineering and Applied Science. He serves as the ChE Graduate Program Director and is a SEAS Copenhaver Fellow (2023). His research focuses on designing biomaterials to study cell-microenvironment interactions, addressing challenges in disease and tissue engineering. He holds a B.S. (2007, University of Florida), M.S. (2010), and Ph.D. (2013) in Chemical Engineering from the University of Illinois, followed by an NIH postdoctoral fellowship at the University of Pennsylvania. His research interests include biomaterials, mechanobiology, musculoskeletal tissue engineering, and advanced manufacturing for biological applications. His lab has pioneered viscoelastic hydrogel platforms and conductive collagen scaffolds, supported by NIH, NSF, DoD, and industry grants. Notable awards include the NSF CAREER Award (2021) and NIH MIRA (2020). Grants: NIH (NIGMS), NSF CAREER, V Foundation, UVA-Coulter Partnership Courses: Tissue Engineering (BME/CHE 4417), Transport Processes I (CHE 3321) Labs: Caliari Lab focuses on biomaterial design and mechanobiological studies His work bridges fundamental science and translational applications, emphasizing dynamic material systems for regenerative medicine and disease modeling.

• Biomaterials
• Mechanobiology
• Musculoskeletal Tissue Engineering
• +۱ مورد دیگر

Hee Kwon Song, Ph.D. is an Associate Professor of Radiology at the University of Pennsylvania , affiliated with the Institute for Translational Medicine and Therapeutics and the Penn Center for Musculoskeletal Disorders . His expertise lies in MRI physics and MRI engineering , focusing on novel dynamic imaging strategies. Education: BS in Electrical Engineering, Northwestern University (1991) MS in Bioengineering, University of Pennsylvania (1994) PhD in Bioengineering, University of Pennsylvania (1999) Master of Law, University of Pennsylvania Carey Law School (2021) Dr. Song’s research specializes in dynamic contrast-enhanced MRI (DCE-MRI) using radial data acquisition and KWIC reconstruction for ultra-fast imaging. His work enables retrospective respiratory motion compensation and flexible resolution adjustments in tumor treatment monitoring ( lung, liver, breast, kidney, ovarian ). Applications extend to non-contrast MRA and tissue T1 mapping . Selected Publications demonstrate his focus on accelerated MRI , bone-selective imaging , and deep learning reconstruction , with collaborations spanning Medicine, Obstetrics and Gynecology, Neurology , and Radiation Oncology . Contact: heekwon.song@pennmedicine.upenn.edu

• MRI Physics
• Biomedical Engineering
• Medical Imaging
• +۲ مورد دیگر

David Gilkey is an Associate Professor in the Department of Occupational Safety, Health and Industrial Hygiene at Montana Technological University in Butte, MT. He holds a Doctor of Chiropractic degree from Southern California Health Sciences University and a Ph.D. in occupational and environmental health from Colorado State University. Dr. Gilkey is a Certified Professional Ergonomist (CPE), Certified Safety Professional (CSP), and Registered Environmental Health Specialist (REHS/RS), with additional certifications in walkway safety assessment. His research encompasses: Slip/trip/fall prevention through surface friction evaluation Safety climate in construction and mining industries Ergonomic risk assessment in healthcare and manufacturing Agricultural safety focused on ATV/UTV operation Environmental health and biological site safety Occupational stress and burnout biomarkers His recent publications demonstrate strong focus on practical safety solutions in healthcare ergonomics (patient transfers, burnout), industrial settings (noise exposure, material handling), and foundational slip/fall research. Earlier work established his expertise in agricultural ATV safety through injury epidemiology and prevention strategies. Dr. Gilkey teaches courses including OSH 391 (Slips, Trips and Falls), OSH 454 (Ergonomics), IH 542 (Principles of Epidemiology), and advanced industrial hygiene topics. He actively advises undergraduate and graduate students on academics, internships, and career development. As Montana's Health Links Ambassador, he promotes Total Worker Health® programs through the Colorado School of Public Health, helping employers develop Certified Healthy Workplace initiatives that integrate safety and wellness.

• Ergonomics
• Occupational Safety
• Industrial Hygiene
• +۴ مورد دیگر