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Kristian O'ConnorView profile

Professor

• Biomechanics
• Musculoskeletal Injury
• Sports Medicine
• +5 more

Kristian O'Connor is a Professor in the Department of Kinesiology within the College of Health Sciences at the University of Wisconsin-Milwaukee, where he also serves as Associate Vice Provost for Research Education. His academic credentials include a Ph.D. in Exercise Science from the University of Massachusetts (2002), an M.S. in Exercise Science from Arizona State University (1998), and a B.A. in Physics from Colorado College (1994). Dr. O'Connor's research centers on the biomechanics of musculoskeletal injury, with particular emphasis on knee injury mechanisms during sports activities. His work investigates how neuromuscular fatigue contributes to increased injury risk in conditions like anterior cruciate ligament (ACL) tears and anterior knee pain, and explores its role in osteoarthritis progression. A significant innovation in his research involves developing portable single-camera 3D motion capture technology for clinical settings, eliminating the need for specialized laboratory environments. Analysis of his 15 most recent publications reveals consistent focus on age-related movement changes, knee biomechanics during dynamic tasks, and fatigue-induced injury mechanisms. His work spans geriatric mobility, athletic performance, and clinical rehabilitation, with strong methodological emphasis on motion analysis and neuromuscular assessment. Key trends include transition step descent biomechanics, visual-motor integration in aging populations, and foot-joint coupling dynamics in runners. Dean’s Award for Outstanding Service (2016), College of Health Sciences As Associate Vice Provost for Research Education, Dr. O'Connor oversees research training programs while maintaining active NIH-funded research. His recent grants include NIH R44HD068147-02 ($1.5M) and R43HD068147-01 ($215k) for developing clinical gait assessment tools, plus industry funding from Sport Biomechanics, Inc. His research program integrates motion capture technology development with fundamental injury mechanism studies, focusing on translating laboratory findings to clinical applications for injury prevention and rehabilitation. Dr. O'Connor leads a biomechanics research laboratory focused on developing portable motion analysis systems and investigating injury mechanisms across diverse populations including athletes, older adults, and clinical patients. His team's development of single-camera 3D motion tracking represents a significant advancement toward accessible clinical biomechanics assessment.

Anton RozhkovView profile

Assistant Professor

• Geospatial Tools and Analysis
• Urban Planning
• Data Science for Cities
• +7 more

Anton Rozhkov is an Industry Assistant Professor and Director of the M.S. in Applied Urban Science and Informatics Program at the Center for Urban Science and Progress (CUSP) at New York University (NYU) Tandon School of Engineering. His work focuses on applying geospatial tools, modeling techniques, and data science to address complex challenges in urban environments, with particular emphasis on infrastructure planning and city design. Dr. Rozhkov earned his Ph.D. in Urban Planning and Policy from the University of Illinois Chicago, where his research centered on decentralized and renewable energy systems in urban contexts through a complex systems approach. Prior to his doctoral studies, he received an M.S./B.S. in Engineering in Land Cadaster from the State University of Land Use Planning in Moscow, Russia, and worked as a senior specialist in the Russian power grid sector with "Rosseti" Group of Companies. His research interests span the application of complex systems, data science, and spatial analytics to solve urban challenges, particularly focusing on how data-driven policies and new technologies can transform infrastructure planning and city design. Dr. Rozhkov employs methods including causal loop diagrams, system dynamics, and agent-based modeling to understand how decentralized energy systems interact with existing power grids and contribute to sustainable urban development. He has published extensively on urban transportation, energy systems, and census data analysis, with a notable focus on Chicago's urban landscape and Illinois state initiatives. Dr. Rozhkov has been actively involved in several significant research projects including an empirical investigation into affordable transit-oriented development in California sponsored by the California State University Transportation Consortium, the Sustainable Urban-Regional Modeling Network project funded by the Illinois Innovation Network, and the Census 2020 Map-The-Count project with the Illinois Department of Human Services which developed predictive models for census response rates and a GIS platform for reporting outreach activities. Ph.D. in Urban Planning and Policy, University of Illinois Chicago M.S./B.S. in Engineering in Land Cadaster, State University of Land Use Planning (Moscow, Russia) His teaching portfolio includes courses on geographic information systems (GIS), advanced spatial analysis, decision modeling, and machine learning for cities. Dr. Rozhkov emphasizes not just understanding urban trends but exploring the "why" behind these trends to develop sustainable solutions. His recent publications (2020-2025) demonstrate a consistent research trajectory examining the complex interrelationships between urban infrastructure systems, particularly focusing on energy, transportation, and spatial patterns through sophisticated analytical methods. Outside of his academic work, Dr. Rozhkov is passionate about urban and landscape photography, traveling, running, snowboarding, and playing guitar. He was born and raised in Balashikha, a city in the Moscow suburbs in Russia, and maintains a gallery of his photographic work from various global locations.

Chu (Ivy) DangView profile

Assistant Professor

• quantitative marketing
• economics of information
• consumer search
• +9 more

Professor Chu (Ivy) Dang is an Assistant Professor of Marketing at the Business School of The University of Hong Kong, where she has been teaching since 2020. Her research focuses on the economics of information in quantitative marketing, examining how consumers search for information, how this information influences their choices, and the information provision strategies of firms in digital environments. Business School, The University of Hong Kong Assistant Professor of Marketing Specializes in consumer behavior in digital contexts Professor Dang received her Ph.D. in Marketing from The Chinese University of Hong Kong, where she also earned an M.S. in Economics. Her undergraduate degree is a B.S. in Applied Physics from Beijing Jiaotong University. Prior to her business studies, she spent two years conducting research in quantum information at RB Liu Lab as a Hong Kong PhD Fellowship Scheme (HKPFS) candidate in physics. Her research spans multiple dimensions of consumer behavior in digital environments, with particular emphasis on consumer search behavior and information economics. She investigates how consumers acquire and process information in online contexts, with applications to social media marketing where she examines the effects of Marketer-Generated Content (MGC), User-Generated Content (UGC), and increasingly, AI-Generated Content (AIGC). Her work on emerging trends in live-commerce and influencer marketing has provided new insights into how these formats reshape consumer decision processes. Analysis of her publications reveals a consistent focus on empirical methods to study information economics, with increasing attention to social media dynamics and emerging e-commerce formats. Professor Dang has secured significant research funding as Principal Investigator, including a General Research Fund grant (#17506824) and an Early Career Scheme grant (#27504221) from the Hong Kong Research Grants Council. She also leads projects funded by the HKU Business School Shenzhen Research Institutes and the HKU Seed Fund for Research. She recently co-organized the 14th Consumer Search and Switching Costs Workshop in Hong Kong in June 2025, demonstrating her leadership in this specialized research area. Her research has been published in top-tier journals including Journal of Marketing Research, Information Systems Research, and Marketing Science. Her teaching portfolio includes Social Media Marketing at both undergraduate and Master's levels, where she brings her cutting-edge research insights into the classroom to prepare students for the rapidly evolving digital marketing landscape. In her personal time, Professor Dang enjoys running, hiking, and spending time with her family.

Simon PuglisiView profile

Professor

• Algorithms
• Bioinformatics
• Data Compression
• +3 more

Simon Puglisi is a Professor at the University of Helsinki's Department of Computer Science, within the Faculty of Science. His research focuses on algorithms, bioinformatics, data compression, and string processing, with notable contributions to genomic data analysis and efficient indexing techniques. He holds the Alberto Apostolico Best Paper Award (2021) and leads the WILL # CHAIR # BOSSA project (2025–2029). His work includes scalable k-mer indexing tools like Themisto and advancements in Lempel-Ziv compression and suffix tree algorithms. He frequently collaborates internationally, participates in editorial roles for journals like the ACM Journal of Experimental Algorithmics , and contributes to conferences such as the International Symposium on Combinatorial Pattern Matching. Research Interests: Algorithm design for string processing and bioinformatics Efficient data structures for genomic data Compression techniques (e.g., Lempel-Ziv, Burrows-Wheeler) Dynamic and space-efficient algorithms Grants & Projects: WILL # CHAIR # BOSSA (2025–2029) Ongoing collaborations with institutions like the University of Melbourne and King's College London

• Genomic Instability
• DNA Replication and Repair
• Computational Biology
• +5 more

Dr Michael Boemo is an Assistant Professor at the University of Cambridge, holding dual appointments in the Department of Pathology and Department of Genetics. He leads research at the intersection of computational biology, DNA replication, and cancer genomics, developing machine learning tools to analyze replication stress and genomic instability. Academic Background: BA in Mathematics (Rutgers University), PhD in Physics (University of Oxford) Research Focus: Genomic instability in cancer, DNA replication/repair defects, computational modeling using machine learning and high-performance simulations Teaching: Lectures in Natural Sciences Tripos (mathematical biology, genetics, systems biology), module organizer for cancer biology and biological modeling His research group leverages nanopore sequencing and AI to map replication fork dynamics, revealing how stalled forks generate mutations in cancer cells and pathogens. Recent work examines extrachromosomal DNA replication vulnerabilities and transcription-replication conflicts. Dr Boemo collaborates across computational biology and cancer research domains, with publications spanning journals like Nature Methods, Cell, and PLoS Computational Biology. His lab develops tools such as DNAscent for replication fork analysis and explores therapeutic targeting of replication stress.

Qiwei YaoView profile

Professor

• Statistical Inference
• Time Series Analysis
• High-Dimensional Statistics
• +6 more

Qiwei Yao is a Professor of Statistics at the Department of Statistics, London School of Economics (LSE), where he maintains an active research program in statistical methodology and applications. His office is located in Columbia House, Room 7.16 at LSE's Houghton Street campus in London. Professor Yao's research focuses on statistical inference for complex time series, with particular expertise in high-dimensional time series, dynamic networks, spatio-temporal processes, functional time series, nonlinear time series, and high-frequency data. His work bridges theoretical statistics with practical applications, especially in financial econometrics. He has developed innovative methodologies for dimension reduction, factor modeling, and network analysis that have become influential in the field. His recent publications reveal a strong trend toward developing statistical methods for increasingly complex data structures, particularly focusing on high-dimensional and network-based time series. His work integrates machine learning techniques with traditional statistical approaches, as evidenced by papers on deep learning for Markov property testing and tensor decompositions for matrix time series. There's also a clear emphasis on privacy-preserving methods and differential privacy in network analysis. Professor Yao has secured substantial research funding through multiple EPSRC Programme Grants and Research Projects, including the EPSRC Programme Grant for 'Statistical Foundations for Detecting Anomalous Structure in Stream Settings (DASS)' and 'Network Stochastic Processes and Time Series (NeST)'. He also leads the EPSRC Research Project on 'Statistical Network Analysis: Model Selection, Differential Privacy, and Dynamic Structures' and has collaborated with industry partners like Andurand Capital Management on projects such as 'Forecasting Oil Prices Based on Quantitative Methods'. His research has significant applications across various domains, particularly in energy forecasting (electricity load prediction), financial modeling (volatility modeling, oil price forecasting), and ecological modeling (spatio-temporal population dynamics). Professor Yao maintains strong collaborative relationships with researchers across multiple institutions and disciplines.

Erik SchemeView profile

Associate Professor

• Biomedical Engineering
• Machine Learning
• Neuroprosthetics
• +5 more

Erik Scheme is an Associate Professor in the Department of Electrical and Computer Engineering at the University of New Brunswick (UNB), and serves as Associate Director of the Institute of Biomedical Engineering (IBME). He holds a PhD and is a Professional Engineer (PEng). His roles include advising the Dr. J. Herbert Smith Centre for Technology Management and Entrepreneurship, emphasizing innovation in biomedical technologies and healthcare systems. His research focuses on advanced human-machine interaction through biomedical engineering, with a strong emphasis on myoelectric prosthetics, wearable sensors, and machine learning applications. Key areas include improving neuroprosthetic control via incremental learning, gait analysis using underfoot pressure sensors, and developing robust EMG-based gesture recognition systems. His work bridges clinical needs with technological innovation, addressing challenges in rehabilitation, activity monitoring, and user-centric design. Recent publications highlight advancements in adaptive control systems, sensor fusion, and ethical data practices in healthcare. His contributions span both theoretical frameworks (e.g., self-supervised learning models) and applied technologies (e.g., gold-plated 3D-printed electrodes). Dr. Scheme collaborates across disciplines, integrating robotics, signal processing, and clinical validation to create impactful solutions. His lab, affiliated with IBME, actively explores emerging areas like exhaled breath analysis for disease detection and federated learning in healthcare data analytics.

Philippe DixonView profile

Assistant Professor

• Biomechanics
• Neuroscience
• Machine Learning
• +3 more

Dr. Philippe Dixon is an Assistant Professor in the Department of Kinesiology & Physical Education at McGill University, with a division in Biomechanics and Neuroscience. He holds adjunct professor roles at the University of Montreal (School of Kinesiology and Physical Activity Sciences) and the University of Laval (Department of Kinesiology). His research focuses on human movement biomechanics using motion capture systems and wearable sensors, combined with machine learning for health and athletic performance optimization. He has expertise in gait analysis, muscle coactivation patterns in cerebral palsy, and predictive modeling of physiological states. Dr. Dixon earned a Post-doctoral fellowship in Public Health at Harvard University, a PhD in Engineering Science from the University of Oxford, and dual degrees in Biomechanics and Physics from McGill University. His education includes a Bachelor of Education in Mathematics and Physics (McGill), a Master of Science in Biomechanics (McGill), and a PhD in Engineering Science (Oxford). He has received grants such as the NSERC Discovery Grant (2022–2027) and the FRQSC AUDACE Grant (2022). His work emphasizes wearable sensor integration, with contributions to datasets like NACOB and tools like OpenOFM. He currently supervises Master’s and PhD students in biomechanics and machine learning applications. Key research themes include gait adaptations on uneven surfaces, machine learning for cough detection via smart garments, and musculoskeletal coordination in clinical populations. His articles span biomechanical modeling, wearable sensor validation, and neuro-musculoskeletal analysis, reflecting interdisciplinary innovation in human movement science.

• Banking and Financial Intermediation
• Monetary Policy
• Corporate Finance
• +6 more

Prof. Farzad Saidi is a Professor in the Department of Economics at the University of Bonn. He is affiliated with the Institute for Macroeconomics and Econometrics, ECONtribute, and the CRC TR 224 EPoS research centers. His work focuses on financial intermediation, monetary policy, corporate finance, and labor markets. He has contributed extensively to understanding bank behavior under negative interest rates, the effects of financial regulation, and the interplay between social preferences and economic outcomes during crises. Research highlights include analyzing strategic communication among banks, the impact of regulatory changes on insurance industries, and the role of social preferences in pandemic responses. His awards include the Jensen Prize for outstanding corporate finance research. Current projects explore credit supply dynamics, data-driven business cycles, and the macroeconomic implications of financial sanctions. Prof. Saidi's work spans theoretical and empirical domains, addressing topics such as banking structure, liquidity management, and the transmission of monetary policy. His affiliations with interdisciplinary centers reflect a commitment to collaborative, policy-relevant research.

• Sports Biomechanics
• Exercise Science
• Sports Engineering
• +5 more

Iain Spears holds dual academic appointments as Senior Lecturer in Sport & Exercise Science at Newcastle University's Faculty of Medical Sciences (Department of Biomedical Sciences) since May 2020, and as Lecturer in Biomedical/Sports Engineering at Nottingham Trent University's Department of Engineering since August 2019. His interdisciplinary position bridges sports science, biomechanics, and engineering applications in athletic performance. Dr. Spears' research focuses on several interconnected areas: Sports biomechanics and movement analysis Training load monitoring and performance assessment methodologies Injury prevention and rehabilitation strategies Technological applications in sports performance Physiological responses to exercise His publication record demonstrates methodological innovation, with recent work employing point-cloud processing for motion analysis, low-cost depth-sensing camera systems, and exergaming solutions for high-intensity training. Key research themes include differential ratings of perceived exertion, environmental effects on athletic performance, and cooling methodologies for endurance exercise. Dr. Spears' collaborative research network includes frequent co-authors Matthew Weston, Thomas Macpherson, and Sean McLaren, with publications appearing in high-impact journals such as Journal of Biomechanics, Sports Medicine, and Medicine and Science in Sports and Exercise. His work has practical applications across team sports, military training contexts, and rehabilitation programming.

• Disaster Medicine
• Emergency Medicine
• Mass Gathering Medicine
• +3 more

Andrew M Milsten serves as Professor in the Department of Emergency Medicine at UMass Chan Medical School, specifically within the T.H. Chan School of Medicine and Division of EMS/Disaster. His work bridges clinical emergency medicine with large-scale disaster response systems. His educational foundation includes a BA in Biology from Bucknell University, an MS in Emergency Health Services from the University of Maryland Baltimore, and an MD from George Washington University. Milsten's research centers on disaster behavioral science and mass gathering medicine , with signature studies analyzing injury patterns at NHL/MLB games, marathons, and concerts. His recent work explores augmented reality applications for field procedures and ethical frameworks for hospital active shooter incidents. He has significantly contributed to disaster medicine standardization through the 2023 Model Core Content development. Publication trends reveal a strategic evolution from foundational mass gathering epidemiology (2000-2010) toward behavioral disaster science and technological integration (2020-2024), primarily in Prehospital and Disaster Medicine and similar journals. Fellow of the American College of Emergency Physicians (FACEP) Through his Division of EMS/Disaster affiliation, Milsten collaborates with national bodies like the National Association of EMS Physicians to shape position statements and resource documents. His research consistently informs operational guidelines for event medical planning and disaster response protocols. He maintains active leadership in disaster medicine education and operational research within UMass Chan's emergency medicine infrastructure.

Rodrigo Fernandez GonzaloView profile

Associate Professor

• Physiology
• Skeletal Muscle Physiology
• Space Physiology
• +6 more

Rodrigo Fernandez Gonzalo is a Docent (Associate Professor) in Physiology and Principal Researcher at the Division of Clinical Physiology, Department of Laboratory Medicine, Karolinska Institutet. He leads the Space and Environmental Physiology research group focusing on skeletal muscle adaptation under various conditions including microgravity, aging, disease, and exercise. His research interests span skeletal muscle physiology, space physiology, and environmental physiology, with particular expertise in how skeletal muscle interacts with other physiological systems. His work employs diverse methodologies including human clinical studies, animal models, and cellular models to investigate functional, metabolic, morphological, molecular, and neural adaptations. Analysis of his recent publications reveals a strong focus on space physiology applications, particularly how microgravity affects skeletal muscle and immune systems, along with translational applications for clinical populations like those with cerebral palsy. His research integrates molecular analysis, imaging techniques, and physical performance outcomes to develop countermeasures for spaceflight effects. 4.5 MSEK funding from the Swedish National Space Agency (2020) Member of European Space Agency's Life Science Working Group (2022-2026) Member of Space Researchers Sweden (2021-) Dr. Fernandez Gonzalo serves as course responsible for Anatomy and Physiology in the nursing program (since 2018) and Advanced Human Physiology Research in the Master's programme in Translational Physiology and Pharmacology (since 2023). He also teaches Human Spaceflight at KTH and participates in the Erasmus Mundus Joint Master in Physiology and Medicine of Humans in Space and Extreme Environments. His laboratory utilizes facilities at Karolinska University Hospital and ANA Futura for human, animal, and cellular studies investigating space exposome effects.

Anne KoelewijnView profile

Assistant Professor

• Human Movement
• Optimal Control
• In the wild movement analysis
• +4 more

Dr. Anne Koelewijn is an Assistant Professor leading the Biomechanical Motion Analysis and Creation (BioMAC) group at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) since 2019. Her research bridges biomechanics, computational modeling, and wearable technology to analyze human movement. She holds a Junior Professorship in Computational Movement Science within the Department of Electrical-Electronic-Communication Engineering. Her educational background includes a Doctor of Engineering in Mechanical Engineering from Cleveland State University (focus: prosthesis design and gait simulations), an MSc in Mechanical Engineering (BioMechanical Design specialization), and a BSc in Aerospace Engineering , both from Delft University of Technology. She completed postdoctoral work at École Polytechnique Fédérale de Lausanne on neuromuscular control. Research interests center on human movement optimization , neuromuscular control mechanisms , and in-the-wild movement analysis . Her work integrates musculoskeletal modeling, optimal control theory, and machine learning to study gait adaptations, exoskeleton design, and pathological movement patterns (e.g., Parkinson’s disease). Publications emphasize predictive simulations , wearable sensor technology , and biomechanical energy optimization , with recent advances in radar-based motion capture, inertial pose estimation, and digital twin applications for medical engineering. Promising Scientist Award , International Society of Biomechanics (2023) Best Paper Award , 5th International Symposium on Wearable Robotics (2020) She leads the BioMAC research group, focusing on computational methods for movement science and collaborating internationally on projects involving exoskeletons, injury prevention, and neuroprosthetics.

• Job Stress and Recovery
• Mental Health
• Employee Sustainable Performance
• +14 more

Jan de Jonge is a Visiting Professor of Work and Organisational Psychology at the Faculty of Social and Behavioural Sciences , Utrecht University , Netherlands. He is affiliated with the Department of Social, Health and Organisational Psychology , focusing on future of work and sport and society research areas. His work bridges occupational and sports psychology, emphasizing sustainable performance, recovery, and mental health. Research interests include job stress and recovery , mental health , the DISC-R Model , employee sustainable performance , work motivation , creativity , vitality , and burnout . In sports psychology, he explores athlete performance , recovery and sleep patterns , mental training , and sport injuries . His recent publications analyze employee health , nursing home staff vitality , and theoretical transfers between work and sports psychology . His scientific trends highlight job demands-resources theory , recovery mechanisms , and cross-contextual applications (e.g., work and sports). Key subfields include occupational health , employee performance , stress management , and sustainable employability .

Naomi Eve FrankstonView profile

Research Fellow

• Biomechanics of running injuries
• Sports biomechanics
• Orthopedic biomechanics
• +1 more

Naomi Eve Frankston serves as a PhD Research Fellow at the Institute of Physical Performance, Norwegian School of Sport Sciences, holding teaching responsibilities in Biomechanics while conducting specialized research in human movement analysis and injury prevention. Her academic credentials include: MS in Kinesiology with a major in Biomechanics from Indiana University-Bloomington, USA Bachelor of Science in Biology from Washington University in St. Louis, USA Her research program integrates clinical and performance biomechanics with focus on running injury mechanisms, orthopedic movement patterns, and sports-specific motion analysis. This work bridges laboratory-based gait analysis with practical applications in athletic performance optimization and injury rehabilitation protocols. Scientific Recognition: No formal scientific awards documented in institutional records Her academic service includes biomechanics instruction for sport science students, though no formal student advising or research grant management is indicated in current institutional documentation. Professional development includes prior laboratory experience in clinical biomechanics settings and industry research applications. Current research activities occur within the Institute's performance analysis infrastructure, leveraging prior experience from orthopedic biomechanics laboratories and athletic industry collaborations to advance sport injury prevention methodologies.