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Dominika IgnasiakView profile

Researcher

• Biomechanics
• Musculoskeletal Modeling
• Spinal Surgery
• +3 more

Dr. Dominika Ignasiak is a Researcher affiliated with the Institute of Biomechanics at ETH Zürich. Her work focuses on spinal biomechanics, musculoskeletal modeling, and computational analysis of spinal pathologies. She contributes to understanding the biomechanical implications of surgical interventions, spinal deformities, and age-related changes in spinal alignment and loading. Her research integrates clinical data with advanced musculoskeletal modeling techniques, particularly in predicting postoperative outcomes and assessing spinal load distributions under dynamic conditions. Key areas include spinal stenosis, idiopathic scoliosis, and the biomechanics of spinal fusion surgery. Dr. Ignasiak collaborates on translational studies bridging computational simulations with clinical applications. Her publications emphasize the role of personalized models in optimizing surgical strategies and understanding degenerative spinal conditions. While no formal awards are listed, her contributions to spinal biomechanics research are evident through her active publication record in high-impact journals. Dr. Ignasiak is based at ETH Zürich’s Institute of Biomechanics, where she engages in cutting-edge research and contributes to both academic and clinical advancements in orthopedic biomechanics.

Anthony A GattiView profile

Research Fellow

• Biomechanics
• Medical Imaging
• Machine Learning
• +7 more

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.

• Multisolid dynamics
• Dynamic optimization
• Movement simulation
• +5 more

Gil Serrancoli Masferrer is an Associate Professor in the Department of Mechanical Engineering at the School of Engineering of East Barcelona (EEBE), part of the Polytechnic University of Catalonia (UPC). He is affiliated with the InSup - Research Group in Surface Interaction in Bioengineering and Materials Science and the LAM - Multimedia Applications and ICT Laboratory. His work focuses on biomechanics, computational modeling, and telerehabilitation systems development for clinical applications. Dr. Serrancoli's research spans multisolid dynamics, dynamic optimization, movement simulation, and telerehabilitation systems. His expertise lies in applying computational techniques to solve complex problems in orthopedics, gait analysis, and rehabilitation engineering. His work bridges mechanical engineering with biomedical applications, particularly in musculoskeletal modeling and simulation of orthopedic procedures. He has developed novel computational frameworks for estimating internal musculoskeletal loading and muscle adaptation in various conditions, including hypogravity environments. His recent publications demonstrate a strong focus on in-silico modeling of orthopedic procedures, particularly knee osteotomies (proximal fibular osteotomy versus high tibial osteotomy), with detailed analysis of joint pressure redistribution. He has also pioneered the application of machine learning techniques, particularly recurrent neural networks, to biomechanical problems including cycling biomechanics and running dynamics prediction. His work consistently integrates computational efficiency with clinical relevance. Technical Award - OpenSim+ Advanced Workshop March 2024 Accésit del XLV Congreso de la Sociedad Ibérica de Biomecánica y Biomateriales European Society of Biomechanics Travel Award OpenSim Virtual Workshop - Technical Award OpenSim Visiting Scholar 2017 Enginyers BCN 2018 Dr. Serrancoli leads several competitive R&D projects including 'Muvity: a novel physical telerehabilitation system' for vulnerable populations and 'Simulaciones predictivas in silico para cirugías ortopédicas' (Predictive in-silico simulations for orthopedic surgeries). He collaborates extensively with researchers across Europe, particularly with Jordi Torner, Josep Maria Font Llagunes, and Joan Carles Monllau, and has secured funding from national and regional programs including Plan Estatal de Investigación Científica y Técnica y de Innovación. He is actively involved in the BIOMEC - Biomechanical Engineering Lab and the TecSalut - Research Group in Health Technologies, where he contributes to the development of innovative solutions for healthcare challenges, particularly in the areas of telerehabilitation and computational biomechanics for orthopedic applications.

Carolynn PattenView profile

Professor

• Motor Control
• Neurorehabilitation
• Neuroscience
• +7 more

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.

• Orthopedics
• Musculoskeletal health and human movement
• Bone, skin and cartilage science
• +4 more

Dr. Kevin J. Deluzio is an Associate Professor in the Department of Mechanical and Materials Engineering at Queen's University and serves as Dean of Smith Engineering. He holds a cross-appointment in the Centre for Health Innovation and is affiliated with the Canadian Orthopaedic Research Society and multiple biomechanics societies. His research focuses on musculoskeletal health, biomechanics of human locomotion, and knee osteoarthritis treatment evaluation. Dr. Deluzio earned his BSc (1988), MSc (1990), and PhD (1997) from Queen's University, followed by postdoctoral training at Harvard University. He previously held a faculty position at Dalhousie University, establishing the Dynamics of Human Motion Laboratory. Education: Bachelor of Science (Honours) in Mathematics and Engineering, Queen's University (1988) Master's of Science in Mechanical Engineering, Queen's University (1990) Doctor of Philosophy in Mechanical Engineering, Queen's University (1997) Post-doctorate in Orthopaedic Biomechanics, Harvard University (1999) Research Interests: Dr. Deluzio investigates biomechanical factors of musculoskeletal diseases (e.g., knee osteoarthritis), non-invasive therapies, and surgical treatments like total knee replacement. His work involves markerless motion capture systems and collaborations between engineering and medicine through the Human Mobility Research Centre at Kingston General Hospital. Grants & Awards: While no specific awards are listed, his research has been supported through academic appointments and institutional affiliations. Labs & Teams: Directs the Dynamics of Human Motion Laboratory and collaborates at the Human Mobility Research Centre, integrating engineering and medical expertise to advance musculoskeletal health solutions.

Jackie ChaView profile

Assistant Professor

• Human Factors and Ergonomics
• Healthcare Systems
• Surgical Robotics
• +4 more

Dr. Jackie Cha serves as an Assistant Professor in the Department of Industrial Engineering within Clemson University's College of Engineering, Computing and Applied Sciences. Her research bridges human factors engineering with healthcare innovation, focusing on surgical robotics, physiological signal analysis, and wearable medical technologies to enhance clinical performance and safety. Her academic foundation includes advanced degrees from leading institutions: Ph.D. in Industrial Engineering from Purdue University M.S.E. in Biomedical Engineering from the University of Michigan B.S.E. in Biomedical Engineering from the University of Michigan Cha's research program centers on quantifying human performance in high-stakes medical environments through sensor-based metrics. She investigates nontechnical skills in surgical teams, mental workload during robotic procedures, and ergonomics of exoskeleton implementation in operating rooms. Her work integrates physiological signals, eye-tracking, and proximity sensors to develop objective assessment tools for surgical proficiency and team dynamics. Analysis of her 2023-2025 publications reveals consistent thematic focus on human-robot collaboration in surgery, with emerging trends in AI-driven workload detection (s-DResNet), neural correlates of surgical expertise, and environmental factors affecting robotic surgery outcomes. Key methodological approaches include scoping reviews of human-robot interaction metrics, mixed-methods evaluations of exoskeleton efficacy, and extended reality applications for nontechnical skills training. She leads the ECHO Lab (Engineering for Clinical and Human Outcomes) at Clemson, which develops translational solutions for healthcare human factors challenges. Her lab's work spans from fundamental physiological signal analysis to applied interventions in operating rooms and emergency medical settings.

Tommy LöfstedtView profile

Associate Professor

• Machine Learning
• Computer Vision
• Medical Image Analysis
• +4 more

Tommy Löfstedt is an Associate Professor at Umeå University , affiliated with the Department of Computing Science and the Department of Mathematics and Mathematical Statistics. His research focuses on machine learning , computer vision , and medical image analysis , with applications in life sciences, radiation therapy, and biomedical imaging. He leads multiple research projects, including AI-driven delineation in radiation therapy, quantitative MRI for radiotherapy, and machine learning for plant nutrient uptake. Current research emphasizes structured regularization methods to improve model interpretability and robustness. Key applications include medical image segmentation , Alzheimer's classification , and uncertainty estimation in MRI . Recent publications highlight his work on morphological regularization , adversarial attack mitigation , and multi-task learning in medical imaging contexts. His projects span 2022–2026 with funding for pediatric oncology automation and gynecological cancer staging. Affiliated with both computing and mathematical departments, he bridges algorithm development with applied mathematical frameworks in medical and life science domains.

Ergin TönükView profile

Associate Professor

• Pneumatic Tires
• Finite Element Analysis
• Analysis and Synthesis of Mechanisms
• +2 more

Ergin Tönük serves as an Associate Professor in the Mechanical Engineering Department at Middle East Technical University (METU) in Ankara, Turkey. With a career deeply rooted at METU where he earned all his degrees, he maintains an active research profile with office B-319 and contact details tonuk@metu.edu.tr and +90 312 210 5293. His academic credentials include: Bachelor's Degree (B.Sc.) from METU, 1990 Master's Degree (M.Sc.) from METU, 1992 Ph.D. from METU, 1998 Professor Tönük's research spans Pneumatic Tires, Finite Element Analysis, Mechanism Synthesis, Soft Tissue Biomechanics, and Railway Vehicles. His biomechanics work focuses on computational modeling of biological systems including joint mechanics, tissue behavior, and medical device development. Tire and railway research leverages his mechanical engineering expertise for transportation applications, while his mechanism design studies address complex kinematic problems. Analysis of his 2016-2025 publications reveals a strong biomedical trajectory with emphasis on orthopedic applications. Key themes include hand/knee joint modeling, tissue engineering scaffolds, gait/posture analysis systems, and viscoelastic material characterization. His methodological signature combines finite element analysis with experimental validation, particularly in soft tissue mechanics and surgical simulation. While specific advising records and grant details aren't provided, his 70+ publications indicate substantial graduate mentorship and research funding acquisition. His work aligns with biomechanics and computational mechanics groups within METU's Mechanical Engineering Department, though dedicated laboratory facilities aren't specified in available sources.

Wendy M. MurrayView profile

Professor

• Biomechanical Modeling
• Upper Limb Rehabilitation
• Prosthetics and Exoskeletons
• +5 more

Wendy M. Murray is a Professor of Biomedical Engineering and Physical Medicine and Rehabilitation at Northwestern University's McCormick School of Engineering. She leads the ARMS Lab, focusing on biomechanical models of upper limb muscles to improve rehabilitation and prosthetic design. Her work addresses spinal cord injury, stroke, and orthopedic interventions. Education: Ph.D. and M.S. in Biomedical Engineering from Northwestern University, B.S. in Mathematics (summa cum laude) from University of Notre Dame. Research interests include musculoskeletal modeling, prosthetics control, and surgical simulations. Key contributions include widely cited anatomical databases and models for hand/wrist function. Current projects explore neuromuscular control, exoskeletons, and injury prevention in sports like baseball. Publications (selected 2024-2017) highlight advancements in motion capture, ultrasound imaging, and computational models for clinical applications. Her work bridges bioengineering with clinical practice to enhance functional recovery. Labs/Teams: Directs the ARMS Lab, collaborating with clinicians and engineers to translate biomechanical insights into real-world medical solutions.

• Musculoskeletal Radiology
• Diagnostic Radiology
• Orthopedic Imaging
• +3 more

Tina Basak, MD, serves as a Clinical Assistant Professor in the Department of Radiology & Imaging Sciences with board certification from the American Board of Radiology in Diagnostic Radiology. Her clinical and academic work focuses on advanced imaging applications in orthopedic surgery, particularly musculoskeletal disorders requiring precise diagnostic interpretation. Her educational background includes: M.D. from Keck School of Medicine of University of Southern California Residency in Diagnostic Radiology at Loma Linda University Medical Center Fellowship in Musculoskeletal Radiology at Cedars-Sinai Medical Center Internship in Transitional Year at Harbor-UCLA Medical Center B.A. in Biology & Social Science - Economics from University of Southern California Dr. Basak specializes in Musculoskeletal Radiology with deep expertise in foot and ankle imaging, where she integrates emerging technologies like 3D printing to enhance surgical planning and outcome analysis. Her research bridges radiological diagnostics with orthopedic biomechanics, emphasizing practical applications for complex anatomical corrections. This interdisciplinary approach demonstrates her commitment to translating imaging innovations into tangible clinical improvements for musculoskeletal pathologies. Her publication record reveals a focused trajectory in orthopedic radiology with emphasis on quantitative surgical assessment. The 2018 study on calcaneal osteotomies exemplifies her methodology of using 3D-printed models to objectively compare surgical techniques, highlighting a consistent interest in evidence-based validation of orthopedic procedures. This work reflects broader trends toward personalized surgical planning and technology-driven efficacy measurement in musculoskeletal interventions. Information regarding Dr. Basak's mentorship of students, research grant acquisitions, and laboratory affiliations is not documented in the available materials, though her academic position suggests involvement in clinical education and departmental research initiatives within radiology.

• Orthopaedic Biomechanics
• Knee Mechanics
• Ligament Injury
• +9 more

Naveen Chandrashekar is an Associate Professor in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo. His work bridges orthopaedic biomechanics, biomedical device design, and tissue engineering with significant contributions to understanding anterior cruciate ligament (ACL) injuries. Doctorate in Mechanical Engineering (2005, Texas Tech University) Master's in Mechanical Engineering (2003, Texas Tech University) Bachelor's in Mechanical Engineering (2000, Bapuji Institute of Engineering and Technology) Research focuses on: Knee mechanics and ACL injury prevention Development of human knee simulators Sensor-integrated ligament damage measurement Virtual laboratory pedagogy effectiveness Tissue engineering applications Implant design and fixation devices Recent publications examine ACL strain mechanics, knee brace efficacy, and cervical spine dynamics. Key funding sources include: Natural Sciences and Engineering Research Council of Canada Ontario Centres of Excellence Canada Foundation for Innovation Scientific accolades include awards from Pi Tau Sigma, ASME, and Texas Tech University. Teaching portfolio covers core mechanical engineering subjects including: Mechanics of Deformable Solids (BME 281, ME 220) Finite Element Methods (ME 559) Statics (MTE 119)

Sarah CartmellView profile

Professor

• Biomaterials Engineering
• Tissue Engineering
• Regenerative Medicine
• +3 more

Sarah Cartmell is a Professor of Bioengineering and Head of the Department of Materials at The University of Manchester. She holds senior roles in the School of Natural Sciences, including Senate membership and leadership in advanced materials initiatives like the Royce Institute. Her research focuses on biomaterials for regenerative medicine, including tendon repair, stem cell differentiation, and bioreactor design. Cartmell has secured over £34.7 million in grants, authored 70+ publications, and serves on editorial and review boards for journals like Science and Technology of Advanced Materials . Her work contributes to UN Sustainable Development Goals in health and innovation. Education : B.Eng (Materials Science with Clinical Engineering, University of Liverpool, 1996), Ph.D. (Clinical Engineering, University of Liverpool, 2000), Postdoc at GeorgiaTech, and academic roles at Keele University. Research Interests : Translation of novel tissue repair products, mechanical force effects on stem cells, and advanced biomaterials for bone and cartilage regeneration. Grants & Funding : £12.7M as lead PI and £22M as PI/Co-I across 22 sources (government, industry, charities). Awards : President of UK Tissue and Cell Engineering Society, IOM3 Fellow, and TERMIS EU council member. Leadership : Led the Royce Institute’s biomedical materials initiative, coordinating 200+ stakeholders, and chairs major international conferences in biomaterials and tissue engineering. Projects : Includes AMFaces (3D-printed facial prosthetics), biomaterials for regenerative medicine, and bioelectronics networks. Labs/Teams : Biomaterials Research Group, Manchester Bioelectronics Network, and advanced materials in medicine initiatives. Her research bridges clinical and industrial applications, emphasizing translational solutions for musculoskeletal disorders and regenerative therapies.

• Tissue Engineering
• Regenerative Medicine
• Stem Cell Biology
• +5 more

Adetola B. Adesida serves as a full Professor in the Department of Surgery within the Faculty of Medicine & Dentistry at the University of Alberta . His laboratory focuses on developing autologous cell-based tissue engineering strategies for cartilage and meniscus repair, leveraging interdisciplinary collaborations between chemists, biologists, clinicians, and material scientists. PhD in Pharmacy, Victoria University of Manchester (1999) Postdoctoral Research, Wellcome Trust Centre for Cell-Matrix Research Dual Fellowship, Harvard University/Massachusetts General Hospital (2006) Marie-Curie Fellowship, European Commission (2007) Dr. Adesida's research centers on stem cell biology and tissue engineering for musculoskeletal regeneration, with emphasis on: Meniscus and articular cartilage repair mechanisms Stem cell-chondrocyte interactions in 3D microenvironments Bioreactor conditioning (hypoxia, dynamic compression) Sex-specific responses in knee osteoarthritis models Space-related microgravity effects on joint tissues His work bridges fundamental mechanobiology with clinical translation through industry partnerships like CellCoTec. Recent publications demonstrate a strong trend toward 3D bioprinting of nasal and meniscal tissues, sex-dimorphic responses in osteoarthritis, and space medicine applications . Key themes include bioink development, molecular characterization of fibrochondrocytes, and prevention of post-traumatic joint degeneration through regenerative strategies. CIHR Research Award (2013) Harvard University/Massachusetts General Hospital Fellowship (2006) European Commission Marie-Curie Fellowship (2007) Dr. Adesida leads the Orthopaedic Tissue Engineering Laboratory , directing multiple CIHR-funded projects on meniscus regeneration using mesenchymal stem cells. His research integrates advanced bioreactor systems for mechano-hypoxia conditioning and collaborates with aerospace initiatives through Canadian Space Agency partnerships. Current work explores simulated microgravity effects on human meniscus models and develops clinically applicable matrices incorporating bioactive molecules for cartilage formation.

• Human Factors Engineering
• Neuroergonomics
• Robotic Surgery
• +3 more

Denny Yu is an Associate Professor at the Edwardson School of Industrial Engineering, Purdue University. His work bridges human factors, neuroergonomics, and healthcare safety through advanced sensor systems and AI. Primary Affiliation : Edwardson School of Industrial Engineering, Purdue University Research Themes : Surgical ergonomics, autonomous vehicle human factors, cognitive workload assessment, multimodal physiological sensing Dr. Yu's research focuses on neuroergonomics and human-robot interaction , particularly in surgical and transportation contexts. His team develops sensor-based systems for workload monitoring, including: EEG-eye tracking fusion for situation awareness Wearable exoskeletons for surgical posture support Computer vision tools for lifting task risk analysis Smart infusion pump usability frameworks AI-driven surgical coaching systems Recent publications emphasize deep learning applications in soft tissue deformation estimation and real-time adaptive systems for robotic surgery augmentation. His work spans both occupational health (veterinary surgeons, airport workers) and medical device innovation domains.

• Endourology
• kidney stone disease
• radiation safety
• +3 more

Sero Andonian is a Professor in the Department of Surgery at McGill University's Faculty of Medicine and Health Sciences and an Associate Investigator at the Research Institute of the McGill University Health Centre (RI-MUHC) at the Glen site. He specializes in Adult Urology within the Department of Surgery at the MUHC, with a primary focus on the Metabolic Disorders and Complications Program. Dr. Andonian's research spans multiple critical areas in urology, with particular emphasis on Endourology , kidney stone disease , radiation safety , medical education , minimally invasive surgery , and laparoscopy . His work has significantly advanced understanding of kidney stone disease management, patient quality of life impacts, and innovative surgical techniques. He has developed assessment tools like the Canadian Endourological Group Stent Symptom Score (CEGSSS) and contributed to national practice guidelines. Analysis of Dr. Andonian's publication record reveals a consistent focus on improving clinical outcomes for stone disease patients. His research encompasses epidemiological studies, surgical technique comparisons, quality of life assessments, and radiation safety protocols. Recent work includes investigations into vacuum-assisted versus traditional percutaneous nephrolithotomy, fluoroless ureteroscopy techniques, and the impact of bilateral stone disease on patient outcomes. As an active member of the Metabolic Disorders and Complications Program at RI-MUHC, Dr. Andonian collaborates with multidisciplinary teams to investigate the metabolic factors underlying urological conditions. His research bridges clinical practice with scientific investigation, ensuring that patient care is informed by the latest evidence-based approaches. He also contributes significantly to urology education through simulation-based training development and assessment of surgical competencies.