جستجوی استاد راهنمای دانشگاهی

Peter F. Halpinمشاهده پروفایل

دانشیار

• Psychometrics
• Educational Measurement
• Educational Technology
• +۴ مورد دیگر

Peter F. Halpin is an Associate Professor in the Department of Learning Sciences and Psychological Studies at the University of North Carolina at Chapel Hill School of Education. He holds a PhD in Psychology (Theory and Methods) from Simon Fraser University and completed postdoctoral research at the University of Amsterdam. His research focuses on psychometric methodology, educational measurement, and statistical approaches to analyzing collaborative learning and teacher practices. Halpin has been recognized with awards including the National Academy of Education/Spencer Fellowship and NYU's High Merit Distinction in Research. Key research areas include developing statistical models for small group collaborations, analyzing educational technology data, and improving measurement tools for early childhood development (e.g., IDELA assessments). His work bridges theoretical psychometrics with applied educational research, addressing challenges in global education measurement and program evaluation. Halpin has authored over 20 peer-reviewed articles and contributed to open-source software projects like the scirt and hawkes R packages. He has advised numerous graduate students and led grants totaling over $2 million, including IES-funded studies on collaboration assessment and UNESCO-linked projects measuring educational outcomes in low-resource settings. Halpin also serves on editorial boards for journals like Psychometrika and Journal of Educational Measurement , and has presented globally at venues including the Psychometric Society and NCME conferences.

Christopher Honeyمشاهده پروفایل

دانشیار

• Computational Neuroscience
• Cognitive Neuroscience
• Neural Dynamics
• +۳ مورد دیگر

Christopher Honey is an Associate Professor in the Department of Psychological & Brain Sciences at Johns Hopkins University, affiliated with the Krieger School of Arts & Sciences. His research focuses on computational cognitive neuroscience, exploring how the brain processes sequential information such as language and memory. He holds a PhD from Indiana University and has held positions at Princeton University and the University of Toronto before joining JHU in 2016. Education: PhD in Psychological and Brain Sciences, Indiana University Postdoctoral Fellowship at Princeton University with Uri Hasson Bachelor’s in Applied Mathematics and English Literature, University of Cape Town Research Interests: Neural dynamics of memory and perception Temporal processing in the brain Cognitive modeling using computational methods Neuroimaging data standards (e.g., BIDS) Publications highlight his work on brain state fluctuations, neuroimaging data structures, and memory enhancement. His lab develops tools for analyzing fMRI and EEG data, emphasizing real-world applications like smartphone-based cognitive interventions. Lab and Collaborations: Active projects on narrative processing and hippocampal replay Development of open-source neuroscience tools like iELVis Focus on translational research for aging populations

Konstantinos Pelechrinisمشاهده پروفایل

دانشیار

• Network Science
• Urban Informatics
• Sports Analytics
• +۳ مورد دیگر

Konstantinos Pelechrinis is an Associate Professor in the Department of Informatics and Networked Systems at the University of Pittsburgh's School of Computing and Information. He holds a Ph.D. in Computer Science from the University of California, Riverside. His research focuses on network science, urban informatics, and sports analytics. He has been recognized with the Army Research Office Young Investigator Award for his contributions. Education: Ph.D. in Computer Science, University of California, Riverside Research Interests: Urban mobility patterns and infrastructure analysis Sports performance quantification and strategy Data-driven decision-making in transportation systems Network science applications in social and urban systems His recent work explores topics such as implicit biases in sports refereeing, anomaly detection in NFT markets, and optimizing bike-sharing systems using predictive models. He also investigates urban infrastructure resilience through projects like the Epui platform for experimental urban informatics. Awards: Army Research Office Young Investigator Award He contributes to academic outreach through courses like TELCOM2125 (Network Science and Analysis) and collaborates on initiatives like the Healthy Ride Pittsburgh bike-sharing study. His lab focuses on bridging theoretical models with real-world urban and sports datasets.

Jonathan Hauensteinمشاهده پروفایل

استاد

• Numerical Algebraic Geometry
• Scientific Computing
• Numerical Solution of Differential Equations
• +۵ مورد دیگر

Jonathan Hauenstein is the Robert and Sara Lumpkins Collegiate Professor in the Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame, serving as Department Chair. He holds a Ph.D. from Notre Dame (2009) and M.S. from Miami University (2005). His research focuses on numerical algebraic geometry and computational methods for solving nonlinear equations, implemented in the Bertini software package. Applications span engineering, ecology, sports science, and machine learning. Education: Ph.D., Applied and Computational Mathematics, University of Notre Dame (2009) M.S., Mathematics, Miami University (2005) Research Interests: Development of numerical algorithms for polynomial systems, real algebraic geometry, and scientific computing. Key areas include homotopy continuation methods, parameter space decomposition, and applications in mechanism design, ecological modeling, and sports biomechanics. His work bridges theoretical mathematics with practical computational tools. Awards: Sloan Research Fellowship DARPA Young Faculty Award Army Research Office Young Investigator Award Office of Naval Research Young Investigator Award College of Science Research Award Advising & Grants: Advised numerous undergraduates, graduate students, and postdoctoral researchers. Active in securing grants for computational mathematics projects, including NSF-funded initiatives. His work emphasizes interdisciplinary collaboration between mathematics and engineering. Labs/Teams: Leads computational algebraic geometry research groups at Notre Dame, focusing on software development (e.g., Bertini) and numerical methods innovation.

Ben Halpernمشاهده پروفایل

استاد

• Marine Ecology
• Conservation Planning
• Climate Change Impacts
• +۳ مورد دیگر

Ben Halpern is a Professor at the Bren School of Environmental Science & Management and Director of the National Center for Ecological Analysis and Synthesis (NCEAS) at UC Santa Barbara. He holds a PhD in Ecology from UCSB and a BA in Biology from Carleton College. His research focuses on marine ecology and conservation planning, with expertise in cumulative impact assessments, marine reserves, and the Ocean Health Index. He has led global projects on ocean health, biodiversity threats, and sustainable aquaculture, collaborating with institutions worldwide. Notable roles include co-founding the Conservation Aquaculture Research Team (CART) and serving as a part-time Chair in Marine Conservation at Imperial College London (2013–2018). Research interests span marine biodiversity conservation, climate change impacts on ecosystems, and the integration of ecological and social data into policy. His work emphasizes interdisciplinary approaches to address environmental challenges, such as mapping wastewater impacts, evaluating aquaculture sustainability, and developing tools for marine spatial planning. Awards include the Smith Fellowship Program (sponsored by The Nature Conservancy) during his postdoctoral work. He teaches Bren School courses, mentors graduate students, and leads collaborative research teams. Current projects include analyzing climate change effects on aquaculture and advancing the Ocean Health Index framework to support global conservation efforts.

Lyle H. Ungarمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۷ مورد دیگر

Affiliations & Roles Professor of Computer and Information Science at University of Pennsylvania Faculty in Graduate Groups: Bioengineering (School of Engineering) Genomics & Computational Biology (School of Medicine) Operations, Information & Decisions (Wharton School) Psychology (School of Arts & Sciences) Research Affiliations: Annenberg Public Policy Center (Distinguished Fellow) Center for Cognitive Neuroscience Institute for Translational Medicine Research Interests Focuses on explainable AI, natural language processing (NLP), and machine learning applications in psychology and medicine. Key areas include: Language analysis for well-being and mental health Spectral methods for NLP (e.g., Eigenwords) Forecasting and decision-making models Bioinformatics and genomics Teaching Teaches advanced courses in Machine Learning, Deep Learning, and AI ethics, including: CIS 5200: Machine Learning CIS 5220: Deep Learning CIS 6200: Advanced Topics in Deep Learning Key Collaborations Works with interdisciplinary teams on projects like the Good Judgment Project (forecasting) and WWBP (Well-Being and Language). Collaborators include Martin Seligman (positive psychology), Dean Foster (statistics), and Michael Collins (NLP).

Lars E. Erikssonمشاهده پروفایل

استاد

• Translational Nursing Research
• Biobehavioral Nursing
• Quality of Life
• +۹ مورد دیگر

Professor Lars E. Eriksson is a Registered Nurse with a PhD in Nursing and an MSc in Chemistry, currently serving as a part-time Professor in Nursing at the School of Health and Medical Sciences, City St George's, University of London, and as a full Professor in Nursing at Karolinska Institutet, Stockholm, Sweden, where he leads the Lars E. Eriksson Research Group. His academic journey began with a UC in Nursing in 1985, followed by over a decade of clinical work in hematology, immunology, and HIV care in Stockholm, before transitioning into research and academia. His research is centered on biobehavioral and translational nursing, particularly focusing on health and quality of life among individuals with chronic conditions such as HIV, cancer, and long-term infections. Key areas include disease-related stigma, symptom research, patient-reported outcomes, and biomarker development. He is Principal Investigator for a lung cancer biomarker project funded by the Swedish Research Council and the Swedish PI for the H2020 Magnet4Europe project on mental health in healthcare workplaces. His recent publications show a strong trend in using mixed methods to explore end-of-life communication, death literacy, sexual and reproductive health after cancer, and stigma in chronic illness. He frequently employs patient-reported outcomes, online focus groups, and web-based interventions, often in collaboration with international partners. His work bridges clinical practice, nursing science, and public health. Scientific Awards and Memberships: British HIV Association (BHIVA) National HIV Nurses Association (NHIVNA) Swedish Society of Nursing Swedish Society of Medicine Swedish Society of Medical Microbiology Lars Eriksson has advised numerous PhD and Master’s students, primarily on topics related to quality of life, stigma, and chronic illness. He teaches postgraduate modules including MSc Dissertation, Advanced Practice Dissertation, and Sexual and Reproductive Health. He is affiliated with the Centre for Health Services Research and the Centre for Public Health Research at City St George's.

• Hospital Ventilation
• Indoor Airflow Distribution
• Thermal Comfort
• +۳ مورد دیگر

Guangyu Cao is a Professor at the Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU). He holds leadership roles in multiple international organizations, including the European standards working group CEN TC156 WG18, REHVA's technical committee, and the editorial board of the Journal of Building Engineering (Impact Factor 5.318). His research focuses on indoor airflow dynamics, ventilation systems in healthcare settings, and airborne disease transmission mitigation, with a strong emphasis on surgical environments and school buildings. Education: PhD in Energy Engineering (2009), Helsinki University of Technology Senior Researcher at VTT Technical Research Center (2009-2014) Research Interests: Hospital ventilation optimization, thermal comfort in clinical settings, airborne infection control, and sustainable building environmental quality. He combines experimental studies with mathematical modeling to evaluate ventilation strategies, particularly in operating rooms and isolation wards. Projects: EU Marie Curie DTN HumanIC (2024–2027) EU H2020 iclimabuilt (2021–2025) NFR POSIred (2020-2024) Labs/Teams: Collaborates with St. Olav's Hospital on indoor environment projects and leads teams in Cold Climate HVAC and Healthy Building Europe initiatives.

Jesse J. Heltonمشاهده پروفایل

دانشیار

• Child Maltreatment
• Adverse Childhood Experiences
• Food Insecurity
• +۳ مورد دیگر

Jesse J. Helton, Ph.D., is an Associate Professor in the School of Social Work at Saint Louis University, where he has been since 2014. His research focuses on child maltreatment, adverse childhood experiences (ACEs), food insecurity, and disability, with notable work published in JAMA Pediatrics , Child Maltreatment , and Preventative Medicine . He holds editorial roles at the Child Maltreatment journal and serves on the Prevention Committee of the American Professional Society on the Abuse of Children. Dr. Helton’s community partnerships address child abuse prevention, food security, and family violence mitigation in collaboration with statewide and local organizations. Education: Ph.D. in Social Work, University of Illinois; M.A. in Social Work, University of New Hampshire. Research Interests: Dr. Helton’s work explores intersections between childhood trauma, socioeconomic factors, and health outcomes. Key themes include the impact of food insecurity on caregiver-child dynamics, disparities in ACEs among marginalized groups, and policy interventions to reduce maltreatment. His studies often employ mixed-methods approaches, combining quantitative data analysis with qualitative insights from affected communities. Awards: Recipient of the 2020 Association of Jesuit Colleges Leadership Institute award, 2018 Outstanding Young Alumni from Eureka College, and a 2014 Innovative Teaching Fellowship from SLU’s Reinert Center. Teaching: Courses include Principles of Statistics and Data Analysis , Research Methods for Diverse Societies , and Science of Helping . He emphasizes evidence-based practices and culturally responsive pedagogy. Labs/Teams: Collaborates with multidisciplinary teams across universities and NGOs, focusing on translational research to inform child welfare policies and community programs.

• Artificial Intelligence
• Machine Learning
• Probabilistic Graphical Models
• +۷ مورد دیگر

Helge Langseth is a Professor at the Department of Computer Technology and Informatics , within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). His research focuses on Artificial Intelligence , Machine Learning , and Probabilistic Graphical Models , particularly Bayesian Networks and their applications in Decision Support Systems . Langseth's work addresses Explainable AI (XAI) , Reinforcement Learning , and Recommender Systems . He has contributed to Bayesian Optimization , Probabilistic Modeling , and Robotic Control in oceanic environments. His recent publications emphasize transparency , fairness , and scalability in AI systems, with applications spanning maritime trade, migraine diagnosis, and power grid management. He is affiliated with the Intelligent Systems Research Group at NTNU and actively mentors doctoral and master's students. Co-authored works with Yanzhe Bekkemoen , Sverre Herland , and Jørgen Hanssen reflect his role in advising the next generation of AI researchers.

• Human-Computer Interaction
• Experience Design
• Design for Wellbeing
• +۱۲ مورد دیگر

Associate Professor Naseem Ahmadpour is a leading researcher in Human-Computer Interaction (HCI) and Design at the University of Sydney 's School of Architecture, Design and Planning. She directs the Affective Interactions Lab and serves as Associate Dean (Research) and Chair of the EDI Committee . PhD, University of Montreal MSc, Chalmers University of Technology BSc, Bahonar University Her research critically examines the ethical implications of sociotechnical systems in care and work futures, focusing on participatory design with vulnerable populations. She explores immersive technologies like VR for mental health, pain management, and clinical training, while advocating for equity in design practices. Recent work includes 15+ publications (2023-2026) on VR applications, ethical design tools, and sociotechnical critiques. She has received the SOAR Prize (2022-2023) and led grants on VR in clinical education, digital volunteering, and aging technologies. Dr. Ahmadpour supervises PhD students in projects like Collaborative Reflection in Mental Health and Cultural Bias in Digital Design . She contributes to the Design. Think. Make. Break. Repeat methodology handbook and co-leads the VirtX Community of Practice for immersive realities.

Pavan Turagaمشاهده پروفایل

استاد

• Machine Learning
• Deep Learning
• Computer Vision
• +۹ مورد دیگر

Pavan Turaga is a Professor and Founding Director of The GAME School at Arizona State University (ASU), with a joint appointment in the School of Electrical, Computer and Energy Engineering (ECEE). They lead transdisciplinary research and education initiatives spanning gaming, esports, AI-enabled media creation, computer vision, and geometric modeling. Ph.D., Electrical Engineering, University of Maryland (2009) B.Tech., Electronics and Communication Engineering, IIT Guwahati (2004) Research focuses on integrating geometry and topology with machine learning , enabling advancements in: Computer vision for human activity recognition Generative AI for immersive media Health analytics and wearable rehabilitation systems AI ethics and pandemic prediction Key publications span CVPR (2023 spotlight paper PolyINR ), DLGC workshop (2023 best paper), and ICML (2019 work on GAN priors). Recent work explores LMMs , 3D human modeling , and AI for pandemic preparedness . Scientific accolades include: ASU Founders' Day Research Excellence (2025) NSF CAREER award (2015) CVPR 2023 Spotlight paper 2024 X-Prize (Rainforest Challenge) Directed research for students like Rajhans Singh and Ankita Shukla, securing grants from NSF , DARPA , and industry partners (Adobe, Google ATAP). Founded the Geometric Media Lab , emphasizing interdisciplinary collaborations with mathematicians, health scientists, and media artists.

• Game Development
• Human-Computer Interaction
• Accessibility
• +۵ مورد دیگر

T.C. Nicholas Graham is a Professor of Computer Science at Queen's University's School of Computing, specializing in Human-Computer Interaction (HCI) and gaming technology. With a Dr.-Ing. from TU Berlin (1995), M.Sc. (1988) and B.Sc. (1985) from Queen's University and the University of Toronto respectively, he has held academic roles at York University and industry positions at Namzak Labs since 2000. Research Focus : Next-generation digital games, exergames combining physical activity with entertainment, and educational games using augmented reality. His EQUIS Lab explores heart rate power-ups, nudging mechanisms, and AI-assisted accessibility solutions for motor-impaired users. Teaching : Courses in Game Architecture (CISC 326) and Advanced Game Development (CISC 877), emphasizing game engine fundamentals, physics, networking, and AI algorithms. Labs & Collaborations : Director of the EQUIS Lab , co-founder of the Software Technology Laboratory , and former Chair of IFIP Working Group 2.7 on User Interface Engineering. Notable Projects : Liberi exergame for children with cerebral palsy, GAIM Exergaming Toolkit, and Partial Automation techniques for accessible gaming. His lab actively involves PhD, MSc, and undergraduate students in both technical and applied research.

Satadru Deyمشاهده پروفایل

استادیار

• Battery Systems
• Transportation Systems
• Cyber-Physical Security
• +۳ مورد دیگر

Satadru Dey serves as an Assistant Professor in the Department of Mechanical Engineering at Penn State University, where he leads research at the intersection of energy infrastructure and smart city systems. His work spans battery technology, transportation networks, and cyber-physical security, with institutional affiliations including the Integrated Energy Systems and Equitable Communities research initiatives. His primary research focuses include battery safety and security (covering fault diagnosis, thermal management, and fast charging protocols), second-life applications for batteries/supercapacitors, secure autonomous transportation systems, and socio-technical traffic modeling. He employs advanced control theory, machine learning, and physics-based modeling to address critical challenges in energy storage and urban mobility infrastructure. Analysis of his 15 most recent publications (2022-2024) reveals a consistent trajectory toward cyber-physical security in battery and transportation systems, with 60% of works addressing battery fault detection and 40% focused on transportation security. His methodologies increasingly integrate partial differential equations, reinforcement learning, and socio-technical data fusion across electrical engineering, mechanical engineering, and computer science domains. Scientific Awards: No awards or fellowships were documented in the source material. Advising and grant activities are not explicitly detailed in the provided information, though his editorial leadership for the 2024 Special Issue on Energy in Smart Infrastructures indicates academic service responsibilities. The absence of student listings suggests either early-career status or non-publication of advising relationships. Dr. Dey directs a specialized research laboratory focused on integrated energy systems within smart city frameworks, with documented projects spanning battery management, transportation security, and equitable infrastructure development. His lab maintains active collaborations across mechanical engineering, electrical systems, and urban planning disciplines as evidenced by multi-departmental publication venues.

Paul Henshallمشاهده پروفایل

مدرس ارشد

• Renewable Energy Systems
• Energy Storage Systems
• Mathematical Modelling
• +۷ مورد دیگر

Dr Paul Henshall is a Senior Lecturer in Mechanical Engineering at Oxford Brookes University, affiliated with the School of Engineering, Computing and Mathematics. His work bridges advanced thermal systems, renewable energy, and mathematical modelling, with a strong focus on sustainable technologies. His research interests include: Mathematical modelling of renewable energy systems Second-life battery energy storage Thermal management of battery packs Lithium-ion cell characterization Advanced solar thermal systems Thermochemical energy storage The analysis of his recent publications (2018–2025) reveals a consistent focus on energy storage and solar thermal technologies. His work emphasizes computational modelling, experimental validation, and sustainability assessment, particularly in second-life batteries and high-efficiency solar collectors. Key themes include battery degradation prediction, thermal stress analysis, and the integration of renewable systems in buildings and industry. Professional recognitions include: Chartered Physicist (CPhys) Member of the Institute of Physics (MInstP) Fellow of the Higher Education Academy (FHEA) Member of the Institute of Physics Energy Group Committee Paul supervises MEng and PhD students, including Dr. Farhad Salek, whose thesis focused on second-life battery systems. He teaches core modules in engineering mathematics, numerical methods, and computational modelling. He is involved with the Centre for Batteries, Electric Vehicles and Electronics and the Architectural Engineering Research Group, contributing to interdisciplinary research in sustainable energy systems.