جستجوی استاد راهنمای دانشگاهی

Yuhao Zhuمشاهده پروفایل

دانشیار

• Visual Computing
• Imaging
• Human Perception
• +۵ مورد دیگر

Yuhao Zhu is an Associate Professor at the University of Rochester, holding joint appointments in the Department of Computer Science and the Department of Brain and Cognitive Sciences. He is affiliated with the Center for Visual Science and the Goergen Institute for Data Science. His research focuses on visual computing, spanning imaging (optics, image sensors), human perception/cognition, and computer systems (architecture, programming models). He earned his Ph.D. from The University of Texas at Austin and has held visiting positions at Harvard University and Arm Research. Education: Ph.D. in Electrical and Computer Engineering, The University of Texas at Austin, 2017 M.S.E. in Electrical and Computer Engineering, The University of Texas at Austin, 2015 B.S. in Computer Science and Engineering, Beihang University, 2010 Research Interests: Dr. Zhu explores interdisciplinary areas such as computational imaging, human visual perception modeling, and energy-efficient computing systems. His work bridges optics, cognition, and computer architecture, with applications in AR/VR, autonomous systems, and neural rendering. Key themes include optimizing systems using biological principles and developing tools for efficient visual computing. Awards: NSF CAREER Award (2020) University Research Award (2023, 2019) ISCA Hall of Fame (2023) ACM SIGARCH Dissertation Award (2018, Honorable Mention) Teaching and Service: He teaches courses on computer imaging, graphics, and systems architecture. He serves on program committees for top conferences (ISCA, ASPLOS, MICRO) and chairs university-wide committees on AI ethics and international collaborations. His lab, Horizon Lab, actively mentors students and fosters interdisciplinary research. Labs/Teams: The Horizon Lab at URCS focuses on visual computing, with projects in computational art, AR/VR optimization, and robotic computing systems. Collaborations span academia and industry (e.g., Meta, Arm).

Victoria Revellمشاهده پروفایل

دانشیار

• Sleep Medicine
• Circadian Rhythms
• Clinical Trials
• +۳ مورد دیگر

Dr. Victoria Revell is an Associate Professor in Translational Sleep and Circadian Physiology at the University of Surrey’s School of Biosciences, affiliated with the Surrey Sleep Research Centre. Her work focuses on circadian rhythms, sleep disruption, and interventions involving light and caffeine in clinical and operational settings. She has published over 50 peer-reviewed articles and led studies on sleep monitoring technologies for older adults and dementia patients. Research Interests: Age-related circadian changes and sleep patterns Impact of light environments on sleep quality Non-invasive sleep monitoring technologies Chronobiology of neurodegenerative diseases Advising & Grants: Supervised PhD students Rachel Firth (2019–2022) and Katie O’Brien (2021–2022). Secured a £1.7m grant for dementia sleep research. Her work includes developing contactless sleep monitoring tools and light-based interventions. Labs & Teams: Active in the Surrey Sleep Research Centre, collaborating on projects like the ENLIGHT checklist for light studies and the ‘Three Contactless Sleep Technologies’ validation initiative.

Gabriele Gramelsbergerمشاهده پروفایل

استاد

• Philosophy of Science
• Computational Sciences
• Environmental Humanities
• +۳ مورد دیگر

Prof. Dr. Gabriele Gramelsberger is a Professor holding the Chair for Theory of Science and Technology at RWTH Aachen University. She serves as Vice Dean for Research in the Faculty of Arts and Humanities and co-leads the Master's program in Governance of Technology and Innovation. As Director of the Kate Hamburger Kolleg 'Cultures of Research', she explores the history, philosophy, and sociology of science and technology. Her research focuses on digital transformation, computational sciences, and environmental humanities. She founded the CSS Lab (2018) and is a member of the North Rhine-Westphalian Academy of Sciences. Key roles include editor-in-chief of the journal 'Philosophy & Digitality' and leadership in the 'Philosophy of Digitality' working group. In 2023, she received the K. Jon Barwise Prize for contributions to philosophy and computing. Her research spans reflective modeling, AI ethics, and the epistemology of computational sciences. She actively contributes to interdisciplinary initiatives like the RWTH Human Technology Center and the German Society for Philosophy (DGPhil). Her work bridges philosophy, technology, and environmental studies, addressing societal impacts of digital and scientific advancements. Awards: K. Jon Barwise Prize 2023 Labs/Teams: CSS Lab, Kate Hamburger Kolleg Grants: NRW Digital Fellowship 2017 Her teaching includes modules on philosophy of science, governance of socio-technical change, and computational modeling. She emphasizes open science infrastructure and critical analysis of technological impacts on knowledge production.

Louise Harpmanمشاهده پروفایل

استاد

• Architecture
• Urban Design
• Sustainability
• +۸ مورد دیگر

Louise Harpman is a Professor of Architecture, Urban Design, and Sustainability at NYU's Gallatin School of Individualized Study. She holds affiliations with the Robert F. Wagner Graduate School of Public Service, the Rudin Center for Transportation Policy & Management, and the Furman Center for Real Estate & Public Policy. Her academic roles include Founding Director of NYU Gallatin's BIG WALK initiative and openEARTHstudio/Global Design NYU. Education: A.B. in East Asian Studies (Harvard, 1987), M.Phil. in Social Anthropology (Cambridge, 1988), M.Arch. in Architecture (Yale, 1993). Research Interests focus on interdisciplinary design practices, micromobility solutions, urban sustainability, and neurodiversity-inclusive spaces. She integrates ecological principles with architectural innovation through projects like the zeroHouse™ and BIG WALK public engagement programs. Awards include multiple AIA Honor Awards, recognition by the Architectural League of New York, and inclusion in New York magazine's 'Top 100' architects. Her work emphasizes socially engaged design and environmental stewardship. Labs/Teams: Leads Global Design NYU and openEARTHstudio at NYU Gallatin, focusing on transnational design collaborations and ecological resilience strategies.

Jerry L. Princeمشاهده پروفایل

استاد

• Image Processing
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

Prof. Jerry L. Prince is the William B. Kouwenhoven Professor of Electrical and Computer Engineering at Johns Hopkins University's Whiting School of Engineering. He holds joint appointments in Radiology and Biomedical Engineering at the Johns Hopkins University School of Medicine, and secondary appointments in Computer Science and Applied Mathematics and Statistics at the Whiting School of Engineering. Education: Ph.D., Electrical Engineering, Massachusetts Institute of Technology, 1988 E.E., Electrical Engineering, MIT, 1986 S.M., Electrical Engineering and Computer Science, MIT, 1982 B.S., Electrical Engineering and Computer Science, University of Connecticut, 1979 His research focuses on image processing, computer vision, and machine learning applied to medical imaging, with over 500 publications. Current projects include imaging methods for speech pathologies post-tongue cancer surgery and characterizing hydrocephalus. He co-founded Sonavex, Inc., developing ultrasound solutions for medical visualization. Awards and Honors: 1993 National Science Foundation Presidential Faculty Fellows Award 1997 Maryland’s Outstanding Young Engineer 2004 Fellow of the IEEE 2011 Fellow of the MICCAI Society 2012 MICCAI Enduring Impact Award 2015 Member, UCONN Academy of Distinguished Engineers 2016 Fellow of the American Institute for Medical and Biological Engineering (AIMBE) Advising & Grants: Advised numerous students/postdocs, supported by grants enabling the formation of companies like Diagnosoft and Myocardial Solutions. Active in editorial roles, including IEEE Transactions on Medical Imaging and Medical Image Analysis. Labs & Affiliations: Affiliated with the Center for Imaging Science and Laboratory for Computational Sensing and Robotics at JHU.

Spencer Museمشاهده پروفایل

استاد

• Bioinformatics
• Statistical Genetics
• Molecular Evolution
• +۳ مورد دیگر

Spencer Muse is a Professor in the Department of Statistics at North Carolina State University (NC State). He currently serves as the Director of the Statistics Undergraduate Program and the Director of the Bioinformatics Graduate Program. His work focuses on integrating statistical methodologies with biological data analysis, particularly in molecular evolution and genetics. He is affiliated with the Bioinformatics Research Center and contributes to interdisciplinary collaborations within the university. Spencer Muse holds a Ph.D. in Statistics and Genetics from NC State University, earned in 1993. His educational background merges advanced statistical training with genetic research, enabling him to address complex problems at the intersection of quantitative sciences and biology. His primary research interests include Bioinformatics , Statistical Genetics , and Molecular Evolution . He specializes in developing computational tools for evolutionary hypothesis testing and refining models that account for substitution rate variations and alignment errors. His work aims to improve the accuracy of selection analyses and parameter estimation in genetic datasets. Muse’s recent articles emphasize advancements in evolutionary analysis frameworks, including alignment error correction, substitution rate modeling, and software development (e.g., HyPhy, PowerMarker). These tools are widely used in studying viral, plant, and microbial genomes, enhancing the understanding of evolutionary processes and genetic diversity. No scientific awards or honors are explicitly mentioned in the provided information. His contributions to education and research administration highlight his role in shaping academic programs and fostering student development in quantitative biology and bioinformatics. In advising and grants, while no specific students or grants are listed, Muse’s leadership in undergraduate and graduate programs suggests active mentorship roles. His software contributions (e.g., HyPhy, PowerMarker) reflect significant grant-funded research. He is also part of the Administration Faculty group, overseeing departmental and programmatic activities. Muse is affiliated with the Department of Statistics and the Bioinformatics Graduate Program. His office is located in SAS Hall 5276, and he maintains a professional website linked to his profile.

Jörg Enderleinمشاهده پروفایل

استاد

• Biophysics
• Single-Molecule Spectroscopy
• Super-Resolution Microscopy
• +۵ مورد دیگر

Prof. Dr. Jörg Enderlein is a Professor of Biophysics at the III. Physics Institute (Biophysics) of the Faculty of Physics at Georg-August-University Göttingen. He holds an Advanced Grant from the European Research Council (ERC) and serves as founding Editor-in-Chief of Biophysical Reports . His research focuses on single-molecule spectroscopy, super-resolution microscopy, and nanooptics/plasmonics. He has held positions at institutions including the University of Regensburg, Forschungszentrum Jülich, and Eberhard Karls University Tübingen. Education: 1981–1986: Physics studies at Ilya Mechnikov University, Odessa 1991: PhD in Physical Chemistry (Humboldt University Berlin) 1996–1997: PostDoc at Los Alamos National Laboratory (USA) 2000: Habilitation in Physical Chemistry (University of Regensburg) Research Interests: Advanced optical microscopy techniques, metal-induced energy transfer (MIET), graphene-based imaging, single-molecule localization microscopy, and applications in biophysical systems. His group develops methods for ultra-high resolution imaging of biological structures at sub-nanometer scales. Key Achievements: ERC Advanced Grant (2021–2026) Heisenberg Fellowship (2001–2006) Georg Märkl Prize (2000) Pioneered Image Scanning Microscopy (ISM) and MIET-based nanoscopy Advising & Grants: Supervised over 15 PhD students and postdocs. Active in funding via DFG, ERC, and international collaborations. His lab hosts visiting scholars from institutions like Harvard and the University of Texas. Labs/Teams: Leads the Biophysics/Complex Systems research group at Göttingen, affiliated with the GGNB (Göttingen Graduate School for Neurosciences, Biophysics, and Molecular Biosciences). Collaborates with microscopy facilities like EMBL Heidelberg and Max Planck Institutes.

John C. Russمشاهده پروفایل

استاد مهمان

• Image Processing
• Image Analysis
• Forensic Analysis
• +۴ مورد دیگر

Dr. John C. Russ is a Visiting Professor at North Carolina State University, specializing in image processing, analysis, and microscopy. His work bridges computer science, engineering, and applied sciences, focusing on quantitative techniques for structural characterization in foods, materials, and forensics. Research interests include forensic imaging, stereology, and the development of algorithms for microscopy. He has authored numerous books on image analysis, including The Image Processing Handbook and Forensic Uses of Digital Imaging . Recipient of the Ernst Abbe Memorial Award (2006) and August Kohler Award (2017), Dr. Russ provides consulting services in forensic analysis and expert witness testimony. His expertise spans over five decades, with contributions to microscopy, software tools (e.g., Photoshop plug-ins), and food microstructure analysis. Consulting and training services are offered through DrJohnRuss.com .

Robert Stephanمشاهده پروفایل

دانشیار

• Ancient Economics
• Archaeology
• Classical Studies
• +۳ مورد دیگر

Robert Stephan is an Associate Professor of Practice in the Department of Religious Studies and Classics at the University of Arizona, where he has taught since 2016. He holds a BA from the University of Michigan (2005) in Classical Archaeology, Biological Anthropology, and Near Eastern Studies, and a PhD in Classics from Stanford University (2014). His research explores how material remains inform ancient economic systems and the intersection of technology with teaching, including uses of video games and virtual reality in education. Notable projects include the Bays of East Attica Regional Survey (BEARS), investigating archaeological data in Greece, and leading study abroad programs in Italy, Greece, and the Holy Land. He has also supervised undergraduate research in multiple archaeological locations worldwide. Awards: 2025 AIA Teaching Award, 2024 Creative Teaching Award, 2021 Five Star Faculty Award, and multiple Distinguished Teaching/Mentoring accolades Labs/Teams: BEARS project (Porto Raphti, Greece) Current courses include CLAS 150C1 (Pyramids and Mummies), CLAS 498H (Honors Thesis), and CLAS 315 (Seven Wonders of Ancient Greece). His pedagogical innovation focuses on immersive technologies to enhance understanding of antiquity.

Ivan Violaمشاهده پروفایل

استاد

• Medical Visualization
• Molecular Visualization
• Data Visualization
• +۳ مورد دیگر

Ivan Viola is a Professor at the University of Bergen's Department of Informatics. His research focuses on medical and molecular visualization, with a particular emphasis on biomedical applications such as fetal ultrasound analysis, protein interactions, and biomolecular dynamics. He leads the VisGroup, developing tools like COZOID for protein-protein interaction analysis and The Vitruvian Baby for fetal ultrasound standardization. His work spans interdisciplinary collaborations, integrating computer science with biology and medicine. Key contributions include advancements in visualization techniques for physiological data, molecular dynamics simulations, and real-time data processing. He has published extensively in top journals and conferences, addressing challenges in data exploration, abstraction, and interactive visualization. Viola's research impacts fields such as prenatal diagnostics, drug discovery, and medical imaging, with tools like Watergate for water trajectory analysis and cellVIEW for multi-scale biomolecular rendering. His projects emphasize user-driven design and the development of intuitive visualization solutions for complex scientific data.

Julius Parulekمشاهده پروفایل

دانشیار مدعو

• Molecular Visualization
• Bioinformatics
• Computer Graphics
• +۲ مورد دیگر

Julius Parulek is an Adjunct Associate Professor at the University of Bergen's Department of Informatics, specializing in molecular visualization and computational methods for biomolecular structures. His work focuses on developing tools and techniques for interactive exploration of protein dynamics, ligand transportation, and large-scale biological datasets. He collaborates with domain experts in biochemistry and structural biology to create visualization solutions for complex molecular processes. Research interests include: Interactive visualization of protein tunnels and cavities Multiscale rendering of biomolecular complexes Geological modeling and sketch-based visualization Agent-based modeling for biochemical processes Key contributions include: Development of the cellVIEW tool for large-scale biomolecular visualization Pioneering work on continuous levels-of-detail for molecular surfaces Techniques for unfolding protein tunnels to analyze their dynamics His research bridges computer graphics with structural biology, enabling scientists to better understand molecular mechanisms through advanced visualization approaches.

• Bioinformatics
• Proteomics
• Biocuration
• +۳ مورد دیگر

Sandra Orchard is a Team Leader at EMBL-EBI, specializing in Protein Function Content. Her role involves leading a team responsible for curating the UniProt database and annotating the Gene Ontology. She plays a key role in advancing protein data standards and resources, including the Complex Portal and Enzyme Portal. As a member and Treasurer of the International Society for Biocuration, she actively contributes to biocuration practices and standards. Her research focuses on integrating molecular interaction data, enhancing protein annotation methodologies, and developing tools for exploring protein function. She has co-authored numerous papers on topics such as proteomics, data integration, and the impact of biological data resources. Her work spans collaborations with global initiatives like HUPO and IMEx, emphasizing data sharing and standardization. Sandra's team develops value-added interfaces for protein data exploration and supports training in bioinformatics resources. Her contributions include advancing the Complex Portal for macromolecular complexes and improving the accessibility of molecular interaction data through standardized formats like PSI-MI. She advocates for open science and reproducible research practices.

Matthias Kawskiمشاهده پروفایل

استاد

• Control Theory
• Dynamical Systems
• Nonlinear Systems
• +۱ مورد دیگر

Matthias Kawski is President's Professor in the School of Mathematical and Statistical Sciences at Arizona State University. His research focuses on nonlinear control theory, dynamical systems, and mathematical visualization with applications to geometric control and robotics. His work develops combinatorial and algebraic approaches to controllability, stabilization of nonlinear systems, and numerical methods for differential equations. A pioneer in educational visualization, he created interactive tools for teaching vector calculus and differential equations. President's Professor (2015) Charles Wexler Teaching Award (1994) He directs Navajo Nation Math Circles and leads NSF-funded projects enhancing mathematics education pathways. His research and visualization tools support understanding of curvature flows, conservation laws, and control system design.

Thomas Weberمشاهده پروفایل

دانشیار

• Ocean Biogeochemical Cycles
• Trace Metal Oceanography
• Climate Change Impacts on Marine Ecosystems
• +۳ مورد دیگر

Thomas Weber is an Associate Professor in the Department of Earth and Environmental Sciences at the University of Rochester . He holds a PhD from the University of California, Los Angeles (UCLA). His research focuses on the ocean’s biological carbon pump and its role in global climate, combining numerical modeling with observational data to study nutrient cycles, microbial respiration, and trace metal dynamics. He collaborates closely with observational oceanographers to interpret large datasets from initiatives like GEOTRACES. His education includes a PhD in Oceanography from UCLA. His courses include Seminar in Ocean Biogeochemistry and Marine Ecosystem and Carbon Cycle Modeling . Research interests span ocean biogeochemical cycles, trace metal cycling (Fe, Zn, Cd), and the impacts of climate change on marine ecosystems. Recent work explores sinking particle dynamics using Underwater Visual Profilers and the interplay between nitrogen-fixing and denitrifying organisms. His publications highlight interdisciplinary approaches to understanding ocean nutrient dynamics and carbon sequestration mechanisms. While no formal awards are listed, his work has appeared in high-impact journals like Science and Nature . He advises no listed students but collaborates extensively with observational teams. His lab focuses on integrating models with field data to predict climate-driven changes in marine systems.

Pansanella Valentinaمشاهده پروفایل

پژوهشگر ارشد

• Complex Networks
• Network Diffusion Dynamics
• Algorithmic Bias
• +۶ مورد دیگر

Valentina Pansanella is a Research Fellow at the National Research Council of Italy (ISTI-CNR), specializing in computational network science and diffusion dynamics. Her work bridges theoretical models with practical applications in social and epidemiological contexts. Her research focuses on complex network analysis , particularly examining algorithmic bias , information diffusion , and homophily measurement in dynamic networks. Key contributions include developing computational frameworks like NDlib and CDLIB for modeling diffusion processes and community detection. Her work frequently employs agent-based simulations and Python-based tooling to analyze contagion patterns in social and biological systems. Analysis of her publication trends reveals consistent focus on network topology effects (2017-2022), evolving from foundational diffusion models to specialized applications in fake news perception (2020) and epidemic modeling (2020). Recent work demonstrates increasing sophistication in path-aware homophily metrics (2021) and topology-aware bias modeling (2022). As part of the KDD Lab research ecosystem, she collaborates extensively with Gianni Rossetti and Letizia Milli on network science tool development. Her technical contributions center on creating open-source libraries that enable reproducible network analysis across academic and applied domains.