جست‌وجوی استاد و پژوهشگر

Colby Haggertyمشاهده پروفایل

استادیار

• Plasma Physics
• Collisionless Shocks
• Energetic Particle Acceleration
• +۴ مورد دیگر

Colby Haggerty is an Assistant Professor at the Institute for Astronomy (IfA Mānoa) at the University of Hawaiʻi at Mānoa. He specializes in computational plasma physics, focusing on magnetospheric, heliospheric, and astrophysical systems. His research emphasizes collisionless plasma shocks, magnetic reconnection, and kinetic plasma turbulence. He holds a Ph.D. in Plasma Physics from the University of Delaware (2017) and conducted postdoctoral work at the University of Chicago (2017–2021). His work bridges theory, numerical simulations, and observational data analysis using advanced computational tools like Python, C++, Fortran, and MPI/OpenMP frameworks. Research Interests: He investigates collisionless plasma shocks and energetic particle acceleration (e.g., Earth’s bow shock, coronal mass ejections), plasma instabilities, magnetic reconnection dynamics, and the role of turbulence in energy dissipation. His studies often involve hybrid and particle-in-cell (PIC) simulations to model cosmic phenomena like supernova remnants and solar wind interactions. Articles & Trends: His recent publications highlight advancements in understanding shock-drift acceleration mechanisms, the saturation of plasma instabilities (e.g., Bell instability), and scaling laws for magnetic reconnection in asymmetric and relativistic regimes. Collaborations with institutions like NASA Goddard, Columbia University, and the University of Chicago underscore his interdisciplinary approach. He has also contributed to developing Python-based plasma physics tools (e.g., PlasmaPy) for the scientific community. Grants & Impact: His CAREER award (2024) supports studies on collisionless magnetic reconnection as a heliospheric process. He emphasizes computational methods and educational outreach, reflecting his dual focus on advancing science and training future researchers. Labs & Teams: While no specific lab is named, his work relies on collaborative networks with leading institutions, leveraging state-of-the-art simulation infrastructure to tackle complex plasma problems.

Steven Mansonمشاهده پروفایل

استاد

• Geographic Information Science
• Environmental Science
• Biocomplexity
• +۱۲ مورد دیگر

Dr. Steven Manson is a Professor in the Department of Geography, Environment, and Society at the University of Minnesota's College of Liberal Arts, where he also served as Associate Dean for Research and Graduate Programs. He directs the Human-Environment Geographic Information Science (HEGIS) laboratory and leads major data science initiatives like the National Historical Geographic Information System (NHGIS) and IPUMS Terra. PhD in Geography, Clark University (2002) BA Honours in Geography, University of Victoria (1995) His research focuses on geographic information science and human-environment systems , using agent-based modeling and big data to analyze land use change, urban dynamics, and sustainability challenges. Recent work explores spatiotemporal data harmonization and geospatial cyberinfrastructure . The articles reveal trends in GIScience methodology , urbanization analysis , and data-intensive sustainability research . Key contributions include self-organizing map applications for health data and hybrid statistical-GIS techniques for environmental policy. Scientific accolades include: Ecological Society of America Sustainability Science Award NASA Earth System Science Fellow McKnight Land Grant Professorship As Principal Investigator for NHGIS and IPUMS Terra, he secured over $40M in NSF, NIH, and DOJ grants for spatiotemporal data infrastructure. Outreach initiatives include developing open geospatial textbooks adopted globally and collaborating with Twin Cities K-12 programs.

• Hydrology
• Water Quality Modeling
• Climate Change Impacts
• +۵ مورد دیگر

Dr. Adnan Rajib is an Assistant Professor of Civil Engineering at The University of Texas at Arlington, leading the H2I Lab (Hydrology & Hydroinformatics Innovation Lab). His research focuses on large-scale hydrology, water quality modeling, and integrating artificial intelligence with remote sensing data to address climate change impacts on water resources. He actively advises doctoral, master's, and undergraduate students in projects related to flood resilience, wildfire hydrology, and nature-based solutions. Dr. Rajib has secured significant grants from NASA, NSF, and USDA, totaling over $4 million, including a major NASA initiative to predict wildfire effects on freshwater supplies and a DOE-funded Coastal Bend Climate Resilience Center. His work spans collaborations with international organizations like the United Nations University and The Nature Conservancy. Key contributions include global studies on floodplain alterations, wetland-mediated nitrate reductions, and the development of cyberinfrastructure tools for open science. He serves on the editorial board of environmental journals and professional committees, including the American Society of Civil Engineers' Wetland Hydrology Technical Committee. His teaching emphasizes advanced topics in civil engineering and research mentorship, with courses like 'Topics in Civil Engineering' and dissertation advisement. Dr. Rajib's lab integrates cutting-edge hydroinformatics to advance climate resilience strategies for vulnerable communities.

Roy Peaمشاهده پروفایل

استاد

• Brain and Learning Sciences
• Child Development
• Collaborative Learning
• +۹ مورد دیگر

Professor Roy Pea is the David Jacks Professor of Education & Learning Sciences at Stanford University, with a courtesy appointment in Computer Science. He served as Director of the H-STAR Institute (2007-2021) and founded Stanford’s PhD program in Learning Sciences and Technology Design. His research focuses on technology-enhanced learning, social foundations of human learning, and interdisciplinary applications of digital tools. Stanford University, School of Education Graduate School of Education Department Courtesy appointment in Computer Science His work spans complex domains like concussion education, climate change learning, and AI-driven mental health interventions. He co-authored the 2010 National Education Technology Plan and co-edited key texts including Video Research in the Learning Sciences and AI in Education . His NSF-funded LIFE Center (2004-2014) advanced learning science theories. Recent publications address: (1) linguistic framing of concussions and reporting behavior, (2) AI chatbots for mental health, (3) "engineering fiction" to reduce climate change abstractness, and (4) immersive AR/LLM learning experiences. His research integrates data science, psychology, and educational technology. Fellow, American Academy of Arts and Sciences (2019) Inaugural Fellow, International Society of the Learning Sciences (2018) Honorary Doctorate, The Open University (2018) Best Bridging Paper, EDM 2014 LAK13 Best Paper Award (2013) Roy mentors doctoral and master’s students in learning sciences, advising on topics related to technology, cognition, and equity. He contributes to digital education policy through roles on advisory boards for organizations like NSF, NIH, and the Joan Ganz Cooney Center. His patents include methods for digital video analysis and collaborative learning systems.

Robert D. Gregg, IVمشاهده پروفایل

دانشیار

• Wearable Robots
• Legged Robots
• Prosthetics & Orthotics
• +۳ مورد دیگر

Robert D. Gregg, IV is a Professor of Mechanical Engineering, Robotics, and Electrical & Computer Engineering at the University of Michigan. He serves as Associate Director for Graduate Education at Michigan Robotics and directs the Locomotor Control Systems Laboratory. His research focuses on control systems for wearable robots, prosthetics, and orthotics, emphasizing biomimetic principles and nonlinear control theory. Gregg holds a PhD from the University of Illinois at Urbana-Champaign (2010) and prior academic roles at the University of Texas at Dallas and Northwestern University. Education: PhD, Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 2010 MS, Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 2007 BS, Electrical Engineering and Computer Sciences, University of California, Berkeley, 2006 Research Interests: Gregg’s work spans control mechanisms for bipedal locomotion, wearable robotics, nonlinear control theory, and rehabilitation engineering. His lab develops high-performance control systems for prosthetic legs and exoskeletons to enhance mobility for individuals with disabilities. Key areas include energy-efficient control strategies, adaptive impedance systems, and biomechanical modeling of human movement. Grant & Award Highlights: $3M NIH R01 Grant (2023): Modeling and control of agile powered prosthetic legs for varied activities. $1.7M NIH R01 Grant (2021): Modular powered orthoses for broad patient populations. NSF CAREER Award (2017) NIH New Innovator Award (2013) Advising & Labs: Gregg mentors PhD students in robotics and biomechanics, emphasizing independent research and collaborative team environments. His lab supports over 15 researchers and has produced notable alumni like Dr. Cara Welker (University of Colorado Boulder faculty). The lab’s work is supported by NIH, NSF, and industry partnerships. Recent Contributions: Recent work includes phase-variable control for stair climbing, energy shaping methods for exoskeletons, and open-source robotic leg platforms. Gregg also chairs major robotics conferences (e.g., IROS 2023) and advises on clinical translation of wearable robotics.

Miriam Sturdeeمشاهده پروفایل

مدرس

• Human-Computer Interaction
• Digital Design
• User Experience (UX) Design
• +۶ مورد دیگر

Dr. Miriam Sturdee is a Lecturer in Human-Computer Interaction (HCI) at the School of Computer Science, University of St Andrews. Her work focuses on advancing HCI through innovative methods in design, education, and interdisciplinary collaboration. She actively contributes to research areas such as visual data analysis, blended experiences, and healthcare technology, with notable expertise in sketching techniques and their applications in user-centered design. Dr. Sturdee supervises PhD candidates Jess McGowan and Junyu Zhang, guiding their research in HCI-related domains. Her research interests span HCI pedagogy, cybersecurity visualization, and sustainable design, emphasizing inclusivity and accessibility. Collaborations include workshops on digital-physical integration and participatory design for healthcare communication. She has co-authored a practical guide on sketching theory and actively participates in academic conferences, contributing to discussions on knowledge production and materiality in HCI. Dr. Sturdee’s work aligns with UN Sustainable Development Goals, particularly in advancing healthcare equity and sustainable practices. She engages in outreach activities, such as the Doors Open @ Computer Science event, fostering public engagement with technology. Her publications reflect a commitment to bridging artistic expression with computational methods, exploring topics like parasocial interactions in games and remote sketching in distributed teams.

Sarah Eblingمشاهده پروفایل

استاد

• Computational Linguistics
• Assistive Technologies
• Sign Language Technologies
• +۷ مورد دیگر

Sarah Ebling is a Full Professor of Language, Technology and Accessibility at the University of Zurich's Faculty of Arts and Social Sciences. She leads the Language, Technology and Accessibility research group within the Institute for Computational Linguistics. Her work focuses on computational linguistics applications for assistive technologies targeting disabilities such as hearing impairments, visual impairments, and cognitive disorders. Key areas include sign language technologies, automatic text simplification, and audio description systems. She directs the large-scale Swiss innovation project 'Inclusive Information and Communication Technologies' (2022-2026, CHF12 million budget) and collaborates on EU H2020 and SNSF Sinergia projects. Education: Holds a doctoral degree (summa cum laude, 2016) from the University of Zurich with research on automatic translation to Swiss German Sign Language. Completed studies in German Linguistics, Computational Linguistics, and English Linguistics at Universities of Zurich and Heidelberg, with research stays in Dublin, Chicago, and Rochester. Research emphasizes multimodal accessibility solutions, including sign language fluency assessment, gesture-based interaction, and AI-driven text adaptation. Current projects explore audio description translation systems (SwissADT), sign language corpus development (SwissSLi), and digital tools for comprehensibility assessment in simplified texts. Her work bridges computational linguistics with ethical considerations in assistive technology deployment. Grants and Leadership: Principal Investigator on major accessibility-focused grants, including the CHF12M Swiss innovation project. Supervises PhD candidates in areas like sign language assessment tools and text simplification algorithms. Active in international collaborations, publishing extensively in computational linguistics and accessibility journals/conferences. Technology Development: Created the 'DigiSpon' benchmark for language sample analysis and developed open-source tools for sign language translation baselines. Her team's innovations include the SignCLIP model connecting text and sign language via contrastive learning, and pose estimation frameworks for sign language recognition.

• Finance
• Financial Economics
• Quantitative Finance
• +۳ مورد دیگر

Ke Xu is an Assistant Professor at the Department of Finance, Faculty of Business and Economics, University of Victoria. His research bridges finance, econometrics, and cryptocurrency, focusing on market microstructure, high-frequency trading, and price discovery mechanisms. He has extensively studied Bitcoin ETFs, fractional cointegration models, and machine learning applications in financial markets. Key Research Areas: Market Microstructure High-Frequency Trading Cryptocurrency Dynamics Price Discovery Machine Learning in Finance Financial Econometrics Article Trends: Xu’s work spans empirical analyses of Bitcoin ETFs, volatility modeling (e.g., affine GARCH), and algorithmic trading strategies. His recent papers explore mini flash crashes using machine learning, regulatory impacts on market quality, and sustainable crypto portfolios.

Jay Pujaraمشاهده پروفایل

عضو هیئت علمی

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۵ مورد دیگر

Jay Pujara is a Research Associate Professor in the Department of Computer Science at the University of Southern California (USC), affiliated with the Viterbi School of Engineering and the Information Sciences Institute (ISI). He directs the Center on Knowledge Graphs and leads research in artificial intelligence, specializing in knowledge graph construction, scalable machine learning, and probabilistic models. Education : PhD in Computer Science (University of Maryland, 2016), MS and BS in Computer Science from Carnegie Mellon University (2005 and 2004), with minors in Robotics, Mathematical Sciences, and Logic & Computation. Research Interests : His work focuses on probabilistic models for dynamic data, knowledge graph construction, entity resolution, and applications in NLP and social network analysis. He emphasizes scalable algorithms and real-world impact in domains like finance, climate science, and healthcare. Awards : Includes the SWSA Ten-Year Award (2023), Best Paper Awards at IUI 2019 and ISWC 2013, and grants totaling over $9M from DARPA, NSF, and industry partners. Grants & Mentorship : Principal Investigator on projects like "Artificial Domain-Understanding and Collaborative Agency" (DARPA) and "Explainable and Robust AI Agents" (NSF). Mentored over 50 students in PhD, MS, and undergraduate programs, focusing on knowledge graphs, NLP, and machine learning. Labs & Teams : Leads ISI’s Knowledge Graph and Neurosymbolic AI teams, coordinating the Open Knowledge Network (OKN) and tools like KGTK. Active in academic service, including roles on PhD admissions committees and ISI’s Space Management Committee.

Ambarish Kulkarniمشاهده پروفایل

استادیار

• Multi-scale molecular modeling
• Data science for materials discovery
• Catalysis
• +۵ مورد دیگر

Ambarish Kulkarni is an Assistant Professor in the Department of Chemical Engineering at the University of California, Davis. His research focuses on multi-scale molecular modeling, data science for materials discovery, catalysis, and separations. He combines quantum chemistry methods (e.g., wave function theory, density functional theory) with classical simulations and machine learning to design novel materials for applications in catalysis, energy storage, and environmental remediation. Specific areas of interest include methane activation, CO 2 capture, and heterogeneous electrocatalysis. His work bridges theory and experiment, collaborating with experimental groups to validate computational findings. Notable projects include: Developing catalysts with atomically dispersed metals for enhanced reactivity Designing zeolite materials for selective chemical transformations Creating machine learning workflows to accelerate material discovery Recent research highlights the role of water in CO 2 adsorption mechanisms, the dynamic behavior of confined nanoparticles, and redox-cycling phenomena in zeolite-embedded catalysts. His computational tools like the Multiscale Atomic Zeolite Simulation Environment (MAZE) enable detailed analysis of complex material behaviors. No scientific awards are explicitly listed in the provided information. His advising activities and grants are not detailed in the current data, but his extensive publication record indicates active research collaboration and funding support.

• GIScience
• Cartography
• Geovisual Analytics
• +۳ مورد دیگر

Jennifer Mason is an Associate Professor of Practice and Associate Director of the Geographic Information Science & Technology (GIST) Program at the University of Arizona. She holds a Ph.D. in Geography (GIScience) from Penn State University, an M.S. in GIScience from San Diego State University, and a B.A. in Geography from UCLA with a GIS&T minor. Her research focuses on GIScience, cartography, and geovisual analytics, particularly exploring uncertainty visualization in maps and spatial decision-making. She teaches courses such as Web GIS, Geovisualization, and Raster/Vector Spatial Analysis, emphasizing practical applications of geographic information systems. Jennifer's work bridges theoretical research and pedagogy, with a strong emphasis on improving cartographic design and usability for diverse audiences. Her publications consistently address spatial uncertainty representation, cognitive aspects of geographic visualization, and open-source tools for education. She has contributed to advancing methodologies for visualizing spatial data uncertainty through noise annotation lines and thematic mapping techniques.

Shawne D. Miksaمشاهده پروفایل

استاد

• Information Science
• Library and Information Science
• Information Organization
• +۵ مورد دیگر

Dr. Shawne D. Miksa is a Professor in the Department of Information Science at the University of North Texas (UNT), College of Information. He specializes in information organization, cataloging standards, and metadata. His research focuses on bibliographic control, information behavior, and the history of library and information science. Education: Ph.D., Library and Information Sciences, Florida State University, 2002 M.S., Library and Information Sciences, Florida State University, 1997 B.A., Liberal Arts with Anthropology minor, University of Central Florida, 1995 Research Interests: Dr. Miksa's work addresses cataloging rules (e.g., RDA, AACR2), metadata standards (MARC21), authority control systems, and LIS education. He explores theoretical frameworks like FRBR/LRM and investigates the intersection of bibliographic control with information behavior and scholarly communication. Grants & Professional Activities: Recipient of OCLC/ALISE grants (2004–2005) for cataloging tool utilization studies. Leadership roles in ALA's Core Metadata and Collections Section, ALISE, ASIST, and ISKO. Editor of the Journal of Library Metadata and contributor to key publications on RDA and FRBR. Recent Articles: Recent work analyzes trends in Cataloging & Classification Quarterly (2024), explores linked data in metadata (2021), and examines Elfreda Chatman's theoretical contributions (2021). Dr. Miksa's research bridges cataloging practices with evolving digital environments. Labs/Teams: Active in cross-disciplinary initiatives like the MARC Content Designation Utilization Project and collaborates with global LIS networks.

Xihui Liuمشاهده پروفایل

استادیار

• Computer Vision
• Generative Models
• Multimodal AI
• +۴ مورد دیگر

Xihui Liu is an Assistant Professor at the Department of Electrical and Electronic Engineering (EEE) and Institute of Data Science (IDS), The University of Hong Kong, with a courtesy appointment in the Department of Computer Science. She holds a PhD from the Chinese University of Hong Kong and a bachelor’s from Tsinghua University. Her research focuses on generative models, multimodal AI, computer vision, and their applications in embodied AI and AI for Science. Education: PhD in Multimedia Lab (MMLab), Chinese University of Hong Kong (2017–2021) Bachelor’s in Electronic Engineering, Tsinghua University (2013–2017) Research Interests: Generative models for 3D content and multimodal systems Embodied AI and vision-language integration Applications in scientific domains Awards: Adobe Research Fellowship (2020) Rising Stars in EECS (2021) WAIC Rising Stars Award (2022) Her work emphasizes interactive generative systems and benchmarks like T2I-CompBench. She co-organized workshops on multimodal foundation models and embodied AI, and currently serves as Area Chair for CVPR, NeurIPS, and ICLR.

• Health Care Economics and Organizations
• Health Policy
• Health Care Management
• +۱۲ مورد دیگر

Howard Forman is a Professor of Radiology and Biomedical Imaging at Yale School of Medicine, with secondary appointments in Public Health (Health Policy), Management, and Economics. He is fully joint in the School of Management and holds affiliations with the Institute for Social and Policy Studies. He serves as Director of the MD/MBA Program, the Executive MBA Healthcare Focus Area, and the Health Care Management Program at the Yale School of Public Health. He is also the Faculty Director of Finance in the Department of Radiology and an active clinician at Yale New Haven Hospital’s Emergency Department, where he serves as deputy operational chief for Radiology. Professor, Radiology & Biomedical Imaging, Yale School of Medicine Professor, School of Management Professor, Economics Professor, Health Policy & Management Director, MD/MBA Program Director, Health Care Management Program (YSPH) Faculty Director of Finance, Radiology Department Dr. Forman’s research centers on health economics, healthcare policy, quality improvement, and radiology administration. His interests include healthcare financing, cost analysis, health systems reform, and the application of AI and large language models in radiology reporting. He has extensively studied patient access to imaging reports, clinician staffing, and end-of-life cancer care. His recent work explores how AI can improve reporting accuracy while addressing ethical concerns like racial bias. His recent publications reflect a strong trend in leveraging artificial intelligence to enhance radiology workflows and patient engagement, while maintaining a focus on equity and policy implications. Articles in Radiology , JAMA Network Open , and Clinical Imaging demonstrate his leadership at the intersection of medicine, technology, and policy. Healthcare Track Teaching Award – 2025, 2023, 2017 Regent's Award – 2019 Leah Lowenstein Award – 2019 Distinguished Student Mentoring Award – 2013 Fellow, Society for Advanced Body Imaging – 2003 Dr. Forman is a dedicated educator and mentor, having founded and led multiple interdisciplinary programs. He has been instrumental in shaping health policy curricula and promoting evidence-based public health communication. He co-hosts the popular Health & Veritas podcast with Harlan Krumholz, contributing to public discourse on healthcare. He has served on editorial boards for journals including American Journal of Roentgenology and Clinical Imaging , and is actively involved in professional societies such as the Radiologic Society of North America.

Rute C. Sofiaمشاهده پروفایل

دانشیار

• Internet of Things
• Edge computing
• Network architectures and protocols
• +۱۰ مورد دیگر

Rute C. Sofia is Industrial IoT Head at fortiss – the Bavarian research institute for software-intensive systems – and Invited Associate Professor at Universidade Lusófona de Humanidades e Tecnologias (ULHT). She is also an Associate Researcher at ISTAR, Instituto Universitário de Lisboa (Iscte-IUL). Previously she co-founded and served as Scientific Director of COPELABS/ULHT (2013-2017) and was Senior Researcher there from 2010-2019. Education Ph.D. in Computer Science, University of Lisbon, 2004 Visiting Scholar, Northwestern University (ICAIR) & University of Pennsylvania, 2000–2003 M.Sc. in Computer Science, University of Lisbon, 1999 B.Eng. in Computer Engineering, University of Coimbra, 1995 Research Interests Her work spans network architectures and protocols , Internet of Things (IoT) , edge and in-network computing , deterministic wired/wireless industrial networks , and network mining . A current focus is on resilient, AI-driven orchestration across the IoT–Edge–Cloud continuum for 6G and Industrial IoT systems. Scientific Awards & Recognition ACM Europe Councilor (2021–2025) ACM Senior Member & IEEE Senior Member IEEE ComSoc N2Women Awards co-chair (2020–2021) Highly Cited Paper Award, Applied Sciences MDPI (2023) Labs, Teams & Grants She currently leads the Industrial IoT competence field at fortiss, coordinating projects such as SemComIIoT (semantic communications for IIoT) and the open-source ns-3 DetNetWiFi framework. Earlier she co-founded the Portuguese startup Senception Lda (2013-2019) and the research unit COPELABS , driving EU H2020 initiatives like UMOBILE and shaping national strategies for cyber-physical systems.