جست‌وجوی استاد و پژوهشگر

Stephen E. Stillمشاهده پروفایل

استاد

• Transportation Systems Engineering
• Sustainable Infrastructure
• Operations Research
• +۳ مورد دیگر

Stephen E. Still is a Professor of Practice in the Department of Civil, Structural and Environmental Engineering at the University at Buffalo (UB), affiliated with the Institute for Sustainable Transportation and Logistics. His roles include teaching applied transportation planning and technology courses, advising students, and collaborating across disciplines between the School of Engineering and Applied Sciences and the School of Management. Prior to academia, he served as founder and managing director of Seabury Airline Planning Group and Diio, LLC, specializing in aviation consulting and IT. With over 30 years of industry experience, he held leadership roles at US Airways and United Airlines, focusing on strategic route planning, fleet management, and alliance development. Dr. Still holds a PhD in Civil Engineering and Operations Research from Princeton University, with a focus on transportation systems and economics, and a BS in Engineering (magna cum laude) from UB with a concentration in transportation planning. He has also completed advanced coursework in demand modeling at MIT. His research interests emphasize sustainable transportation systems and logistics, integrating engineering principles with operational efficiency. While his academic contributions primarily reside in transportation engineering, his interdisciplinary work incorporates wearable technology and sensor-based solutions for health monitoring, as evidenced by his extensive publication record in smoking cessation and behavioral health research. Scientific awards and grants are not explicitly mentioned in the provided information. Dr. Still’s advising and teaching focus on fostering student engagement in transportation innovation and real-world problem-solving. His professional experience bridges academia and industry, reflecting a commitment to practical applications of engineering and logistics principles.

• Social Physics
• Graph Convolutional Neural Networks
• Large Language Models (LLMs)
• +۴ مورد دیگر

Dr. Alexander Mantzaris is an Associate Professor in the Department of Statistics & Data Science at the University of Central Florida, College of Sciences. His research bridges physics and sociology through Social Physics frameworks, focusing on statistical mechanics and thermodynamic analogies to model social phenomena. Current research explores criticality points in social systems Developing computational tools for NLP and big data Former work on Graph Convolutional Networks in social analysis Specializes in entropy-based modeling of polarization and segregation His publications emphasize interdisciplinary approaches combining network science, computational modeling, and sociological dynamics. Recent articles address thermodynamic formulations of political cycles, energy states in Schelling models, and memory-efficient data processing algorithms. Dr. Mantzaris teaches graduate courses in big data analytics and statistical learning theory. He maintains active research in computational social science with applications to political dynamics, media influence, and complex systems analysis.

Michael Haganمشاهده پروفایل

استاد

• Biophysics
• Soft Condensed Matter
• Active Matter
• +۴ مورد دیگر

Michael Hagan is a Professor of Physics at Brandeis University, affiliated with the Martin A. Fisher School of Physics. His research focuses on understanding the physical principles governing assembly and dynamic organization in biological and biomimetic systems. He employs computational and theoretical methods, including machine learning, to study viral capsid assembly, bacterial microcompartments, and active matter systems. His work bridges length and time scales to elucidate emergent behaviors in nonequilibrium systems. Education: PhD in Physics from the University of California, Berkeley (2003). His group, the Hagan Lab, collaborates with experimentalists and has received funding from the DOE, NSF, Keck Foundation, and NIH. Key areas include viral genome assembly optimization, bacterial microcompartment formation, and the dynamics of active nematics. Recent studies explore defect-ordered phases, phase separation in active colloids, and programmable self-assembly of geometric structures. Research interests span biophysics, soft condensed matter, and computational modeling. His lab's work has implications for synthetic biology, drug design, and material science. Collaborations with experimental groups (e.g., Z. Dogic's lab) have led to discoveries in active matter dynamics and biomimetic systems.

• Maritime safety management and leadership
• Maritime accident and casualty analysis
• Maritime Autonomous Surface Ships (MASS)
• +۳ مورد دیگر

Tae Eun Kim is an Associate Professor in Maritime Safety Management at UiT The Arctic University of Norway, working within the Department of Technology and Security. Her research, teaching, and industrial collaboration focus on maritime safety and human factors, with particular expertise in maritime safety management, accident analysis, Maritime Autonomous Surface Ships (MASS), and human factors in maritime operations. Dr. Kim's research spans four interconnected domains: maritime safety management and leadership, maritime accident and casualty analysis, Maritime Autonomous Surface Ships (MASS), and human factors in maritime operations. She has developed assessment instruments like the Safety Leadership Self-Efficacy Scale (SLSES) and conducted STAMP-based causal analyses of maritime accidents. Her work on MASS addresses safety challenges in mixed navigational environments and examines leadership competencies for autonomous shipping operations. Her human factors research explores how technological advancements impact navigators' performance, crew dynamics, and safety outcomes, including gender parity issues in the maritime industry. Dr. Kim's publication record reveals a strong focus on the intersection of maritime safety, technology, and human performance. Her recent work increasingly addresses autonomous shipping technologies, with numerous publications on AI decision transparency, learning analytics in maritime simulator training, and multi-modal data analysis for nautical skill development. She has conducted systematic reviews on simulator training approaches and scenario design, contributing significantly to methodology development in maritime education and training. Her research demonstrates a clear trajectory toward integrating emerging technologies with traditional maritime safety practices as the industry transitions toward greater automation. Dr. Kim is actively involved in several significant research projects, including the i-MASTER EU Horizon Europe Research and Innovation Project, the REFRAME project, and the SPRICE project (Multidisciplinary approach for spray icing modelling). She is a member of both the Advanced Maritime Ship Operations research group and the Maritime Safety Science (MARSCI) Research Group, demonstrating her commitment to collaborative research in maritime safety science. Dr. Kim teaches several specialized courses at UiT, including SVF-3206 Safety Management and Accident Investigation, TEK-3014 Navigation Technology, MFA-2100 Maritime Digitalization, MFA-8010 Maritime HTO (Human-Technology-Organisation) and Innovation, and MFA-2018 Maritime Administration and Leadership. Her teaching portfolio reflects the interdisciplinary nature of her expertise, bridging engineering, safety science, and organizational behavior in maritime contexts.

Erik Schemeمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Machine Learning
• Neuroprosthetics
• +۵ مورد دیگر

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.

Laura J. Holtمشاهده پروفایل

استاد

• Addiction Research
• Clinical Psychology
• Substance Abuse Prevention
• +۷ مورد دیگر

Laura J. Holt is a Professor of Psychology at Trinity College, where she has been a faculty member since 2008. Her research focuses on addiction, substance use prevention, and community-based interventions. She holds a B.A. in Psychology from Trinity College, an M.S. and Ph.D. in Clinical Psychology from Rutgers University, and completed postdoctoral training at Yale University School of Medicine and the Department of Veterans Affairs. Her work emphasizes the role of family, peers, and societal factors in shaping psychological outcomes and effective treatment strategies. Holt’s research lab engages Trinity undergraduates in projects addressing healthier college relationships, substance use reduction, and community outreach. Students contribute through data collection, analysis, and publication preparation. She strongly advocates for liberal arts education, highlighting its role in fostering critical thinking, student-faculty collaboration, and community engagement. Her research themes include e-cigarette dependence, prescription stimulant misuse, and the intersection of mental health with substance use. She has explored motivational factors in substance use cessation and the impact of faculty-student rapport on academic success. Her lab’s activities emphasize practical skills for students pursuing clinical or counseling psychology careers. No scientific awards are explicitly listed in the provided materials. However, her extensive contributions to addiction research and mentorship are evident through her prolific publication record and collaborative projects. Holt advises students such as Alice Verdier ’22, Angie Delucia ’22, and Maddie Shapiro ’22, reflecting her commitment to undergraduate research. Her work integrates community partnerships and evidence-based interventions to address public health challenges, particularly among emerging adults. The Holt Research Lab serves as a hub for collaborative projects, offering students hands-on experience in qualitative and quantitative research methods (e.g., Atlas.ti, SPSS). This environment prepares students for graduate studies and careers in clinical psychology and related fields.

Denise Ranghetti do Pilarمشاهده پروفایل

استاد

• User Experience Design
• User Experience Research
• UX Strategy
• +۳ مورد دیگر

Denise Ranghetti do Pilar is a Professor of UX Design at Savannah College of Art and Design (SCAD) in Savannah, GA, since 2022. Her academic background includes a Postgraduate Certificate in Applied Positive Psychology and a Ph.D. in Psychology from Pontificia Universidade Catolica do Rio Grande do Sul, and a B.S. in Computer Science from Catholic University of Louvain. Her research focuses on User Experience Design and User Experience Research , with specific interests in UX strategy, design thinking, UX metrics, and user research methodologies. She has taught at multiple institutions including Product Arena, UFRGS, UniRitter, and Feevale. Professionally, she has served as Staff User Experience Researcher at Nubank and User Experience Lead at SAP Labs Latin America. She is affiliated with professional organizations BayCHI and AnthtroDesign.

Yingling Fanمشاهده پروفایل

استاد

• Urban Planning
• Transportation Planning
• Public Health
• +۵ مورد دیگر

Professor Yingling Fan is a faculty member in the Urban and Regional Planning Department at the University of Minnesota's Hubert H. Humphrey School of Public Affairs, serving as Associate Dean for Faculty. She leads faculty recruitment strategies and represents the School in university-wide initiatives. Her research focuses on urban land use, transportation planning, and the intersection of planning with health equity, emphasizing public transit, emotional well-being, and community-engaged equity research. Fan holds a PhD from the University of North Carolina at Chapel Hill and a BS from Southeast University. She has directed over 40 research projects totaling $20 million in funding and authored over 100 publications. Her editorial roles include Editor-in-Chief of the Journal of Transport and Land Use and Managing Editor of Urban Studies . As an entrepreneur, she co-founded Daynamica, Inc., developing smartphone-based systems for behavioral and well-being data collection, securing a US patent (#9763055B2) in 2017. Fan leads the Global Transit Innovation (GTI) program, fostering international collaboration in transportation planning, and chairs the Global Planning Education Committee at the Association of Collegiate Schools of Planning. Her work has been featured in Time Magazine , National Geographic , and The Atlantic , highlighting contributions to transportation equity and urban well-being.

Philippe Dixonمشاهده پروفایل

استادیار

• Biomechanics
• Neuroscience
• Machine Learning
• +۳ مورد دیگر

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.

• Evolutionary Biology
• Genetics
• Zoology
• +۹ مورد دیگر

Alfried Vogler is a Professor of Molecular Systematics with a joint appointment at Imperial College London's Department of Life Sciences (Silwood Park) and the Natural History Museum, London. His research focuses on the evolutionary and genetic mechanisms underlying insect biodiversity, particularly in beetles (Coleoptera), using advanced genomic techniques like metagenomics and environmental DNA (eDNA). He has held academic positions since 1995, becoming a Full Professor in 2006. Vogler is affiliated with the Georgina Mace Centre for the Living Planet, the Grantham Institute, and the Microbiome Network, contributing to interdisciplinary projects in ecology and conservation. Education: PhD in Bacterial Genetics (1988), University of Osnabrück, Germany MSc in Taxonomy and Biodiversity Biology degree (1984), University of Regensburg, Germany Research Interests: Vogler combines phylogenetics, population genomics, and bioinformatics to study species diversity across hierarchical levels (populations to insect orders). He explores community dynamics in complex environments, including tropical rainforests and soil ecosystems, using cutting-edge methods like metabarcoding and qPCR. His work emphasizes understanding trait evolution, dispersal constraints, and ecological interactions in biodiversity hotspots. Recent projects investigate the role of mitochondrial metagenomics in reconstructing evolutionary histories and predicting climate change impacts on communities. Academic Leadership: Since 1996, Vogler has directed the MSc in Taxonomy and Biodiversity and the MRes in Biosystematics programs, overseeing academic content and student research supervision. He also contributes to the Biodiversity, Evolution and Conservation MRes (UCL/NHM) and has been a module organizer for courses like Tree-of-Life and molecular systematics. Labs & Collaborations: Vogler leads the Molecular Systematics research group at the Natural History Museum, collaborating with Imperial College's Silwood Park campus. His work integrates with the SITE-100 project, aiming to build a global genomic framework for biodiversity synthesis. He also participates in DNAqua-Net, advancing genetic tools for aquatic ecosystem assessment.

Benno Liebchenمشاهده پروفایل

استاد

• Soft Matter Physics
• Active Matter
• Colloidal Systems
• +۳ مورد دیگر

Prof. Benno Liebchen holds a faculty position at the Technische Universität Darmstadt within the Institute for Condensed Matter Physics , part of the Faculty of Physics. He leads the Liebchen Group , dedicated to advancing research in the Theory of Soft Matter , focusing on active matter, colloidal systems, and non-equilibrium phenomena. His work explores collective behavior in self-propelled particles, phase transitions in active fluids, and adaptive strategies in smart materials. Research Interests include: Active matter dynamics and pattern formation Non-equilibrium statistical mechanics Biophysical systems and biomimetic design Computational modeling of soft matter Recent publications highlight breakthroughs in intelligent active particles , self-reverting vortices , and motility-induced phase coexistence . His lab develops tools like the AMEP Python package to analyze active systems. Teaching responsibilities include advanced modules in soft matter physics. Collaborative projects involve interdisciplinary approaches to microswimmer behavior and machine learning-driven optimization of collective systems. Contact: +49 6151 16-24509 / Office: S2|04 104

Andrew Curtisمشاهده پروفایل

استاد

• Spatial Epidemiology
• GIS Applications in Public Health
• Spatial Data Collection in Challenging Environments
• +۵ مورد دیگر

Dr. Andrew Curtis is a Professor in the Department of Population and Quantitative Health Sciences at Case Western Reserve University's School of Medicine. He also holds a joint appointment in the Department of Anthropology, College of Arts and Sciences. His research focuses on spatial epidemiology, context-driven spatial data collection, and spatial confidentiality, with methodological expertise in geospatial data collection and analysis. He previously directed the WHO Collaborating Center for Remote Sensing and Public Health and has advised numerous public health agencies internationally. His work addresses health disparities at neighborhood scales, disaster response, and spatial syndromic surveillance. Dr. Curtis has mentored 10 PhD graduates now working in academia and public health sectors globally. Education includes a PhD in Geography from SUNY Buffalo (1995), MA in Geography from SUNY Buffalo (1991), and a BA from Portsmouth Polytechnic (1987). He has taught courses in GIS for health, medical geography, and global health. His advisory roles include collaborations with the CDC, Red Cross, and public health departments in Ohio and internationally. His research has been applied to cholera outbreaks, opioid overdose patterns, and pandemic response strategies. He co-edited a special issue on health geography and serves on the editorial board of the Annals of the Association of American Geographers. Dr. Curtis' spatial video methodologies have enabled fine-scale mapping in informal settlements, disaster zones, and conflict-affected areas. His recent work includes geospatial support for Ohio hospitals during the pandemic and energy vulnerability analysis. He emphasizes participatory research and context-enriched data collection to bridge gaps between health research and actionable policy.

David Danksمشاهده پروفایل

استاد

• AI Ethics
• Causal Inference
• Healthcare Technology
• +۴ مورد دیگر

David Danks is a Professor of Data Science, Philosophy, and Policy at the University of California, San Diego. His work bridges AI ethics, causal inference, and policy, focusing on governance frameworks for emerging technologies. He leads research on trustworthy AI systems, healthcare technology applications, and sociotechnical risks. Danks is affiliated with the DIVER Lab, exploring interdisciplinary approaches to AI's societal impact. His research spans causal discovery algorithms, ethical AI design, and the intersection of science and policy. Notable themes include mitigating bias in quantum machine learning, dynamic certification for autonomous systems, and addressing unforeseen technological harms. He has contributed to national AI policy through roles like the National Artificial Intelligence Advisory Committee. Publications emphasize ethical challenges in AI development, such as algorithmic fairness, epistemic utility, and moral responsibilities in dual-use technologies. His work frequently intersects with healthcare innovation, including personalized hemodynamic models for surgical risk reduction. While no formal awards or grants are listed, Danks' involvement in high-profile initiatives like the CCC Whitepaper on pandemic prevention underscores his leadership in translational ethics and policy.

• Financial Economics
• High-Frequency Trading
• Blockchain Technology
• +۳ مورد دیگر

Konstantin Sokolov is a Professor at the University of Memphis, affiliated with the Fogelman College of Business and Economics. His research bridges finance, technology, and market design, focusing on liquidity dynamics, high-frequency trading, and blockchain systems. University of Memphis - Fogelman College of Business and Economics Collaborations with institutions across the U.S. and globally His work explores market microstructure , cryptocurrency , and cybersecurity , with recent studies on ransomware impacts, gamification in finance, and blockchain governance. Articles show a trend toward integrating machine learning and network theory into financial systems. Key themes include: Liquidity and volatility in algorithmic trading environments Blockchain congestion and cybersecurity externalities Regulatory implications of fast trading technologies Behavioral responses to gamified financial platforms

• Decision Making
• Information Sampling
• Machine Learning Applications
• +۴ مورد دیگر

Gaël Georges Marcel Le Mens is a Full Professor at Pompeu Fabra University (UPF), holding a position in the Department of Economics and Business. He is also affiliated with the Barcelona School of Economics and serves as academic co-director of the Executive Master in Business Administration (EMBA) at the UPF Barcelona School of Management. His academic journey includes teaching roles at INSEAD, London Business School, ESADE, and the University of Lugano, alongside positions at the universities of Southern Denmark and New York. Education: Doctor in Business Administration, Stanford Graduate School of Business MSc in Management Science and Engineering, Stanford University Diploma in Engineering, Supélec Bachelor of Economics, University of Paris XI His research focuses on decision-making processes, information sampling, machine learning applications in semantics, and organizational behavior. Key themes include cognitive heuristics, social media impact on political expression, and the interplay between popularity and evaluation dynamics. He has explored how feedback mechanisms shape political communication and developed methodologies to compare human and machine conceptual judgments using models like BERT. His publications span journals such as PNAS , Psychological Review , and Industrial and Corporate Change , reflecting his interdisciplinary approach. Though no explicit awards are noted, his prolific output highlights sustained academic impact. He has advised multiple institutions on curriculum design and executive education, leveraging his cross-university teaching experience. Le Mens is affiliated with the Barcelona School of Management’s research teams and contributes to initiatives bridging artificial intelligence and social sciences. His work often addresses practical challenges in organizational decision-making and digital communication strategies.