جست‌وجوی استاد و پژوهشگر

Cynthia M McMillenمشاهده پروفایل

استادیار

• Virology
• Infectious Diseases
• Microbiology
• +۵ مورد دیگر

Cynthia M McMillen is a Research Assistant Professor in the Department of Infectious Diseases and Microbiology at the University of Pittsburgh's Graduate School of Public Health, focusing on bunyavirus tropism and vertical transmission mechanisms using placental models and animal systems. Her educational background includes: Bachelor of Science in Biology from West Virginia University (2010) Ph.D. in Immunology and Microbial Pathogenesis from West Virginia University (2016) Post-doctoral training at University of Pittsburgh's Center for Vaccine Research (2019-2022) Dr. McMillen's research centers on bunyaviruses (Rift Valley fever, Cache Valley, Schmallenberg, La Crosse), investigating vertical transmission through placenta explants and rodent models. She develops 2D/3D trophoblast organoids to study host-virus interactions and creates therapeutics including neutralizing antibodies and inducible RNAi systems. Her publication record (2016-2024) demonstrates consistent focus on Rift Valley fever virus pathogenesis, vertical transmission mechanisms, and therapeutic interventions. Key contributions include establishing congenital infection models, testing antibody-based fetal protection strategies, and analyzing vaccine strain attenuation at the maternal-fetal interface. Dr. McMillen actively mentors students through classroom instruction and laboratory guidance, having served as guest lecturer for virology, immunology, and microbiology courses at University of Pittsburgh and West Virginia University since 2012. She conducts high-containment research within the Center for Vaccine Research and Regional Biocontainment Laboratory, utilizing placenta explants and trophoblast organoid systems to dissect viral tropism and transmission pathways.

Oreet Asheryمشاهده پروفایل

استاد

• Contemporary Art
• Visual Art
• Performance Art
• +۷ مورد دیگر

Oreet Ashery is Professor of Contemporary Art at the Ruskin School of Art, University of Oxford, where she serves as Director of the MFA programme and Director of Studies in Fine Art at Exeter College. A visual artist whose practice navigates both institutional and grassroots contexts, Ashery's work engages with bodies, worldbuilding, autoethnography, gender and technology through multiplatform projects spanning video, 2D image-making, performance and assemblage. Her research focuses on the intersection of digital culture and mortality, speculative fiction, and gender politics. Characterized by the use of speculative fiction and humor, her work often occupies utopian, discursive and incongruous spaces. She has developed significant projects exploring digital death, grief, and the politics of representation, particularly through her award-winning web-series Revisiting Genesis and her film Dying Under Your Eyes which documents her father's passing. Her practice bridges academic research and public engagement through projects like Death Cafés that bring conversations about mortality into community spaces. Ashery's artistic output shows a consistent trajectory from early performance works exploring identity and cultural politics to more recent projects examining digital legacy and mortality. Her work increasingly engages with medical humanities and the representation of illness, as evidenced by the Wellcome Collection-commissioned Misbehaving Bodies: Jo Spence & Oreet Ashery exhibition (2019-2020) which examined illness representation through collaborative work with the late photographer Jo Spence. Oxford- UdK Berlin Award (2022) Turner Prize Bursary (2020) 10th Jarman Film Award (2017) As a supervisor, Ashery guides doctoral students working at the intersections of performance, visual art, and critical theory. She has secured significant commissions from institutions including KW Institute for Contemporary Art, Wellcome Collection, and Stanley Picker Gallery. Her leadership of the MFA program at the Ruskin School of Art demonstrates her commitment to developing the next generation of artists while maintaining an active studio practice that informs her pedagogical approach.

Sergey Tulyakovمشاهده پروفایل

پژوهشگر

• Computer Vision
• Machine Learning
• Generative AI
• +۳ مورد دیگر

Sergey Tulyakov is the Director of Research at Snap Inc. , leading the Creative Vision team. His work focuses on enhancing creator capabilities through computer vision , machine learning , and generative AI , with applications in 2D/3D/4D video generation, editing, and personalization. He pioneered video generation frameworks like MoCoGAN and First Order Motion Model , and has been recognized for BEST IN SHOW AWARD at SIGGRAPH Real-Time Live! 2020. PhD (2012-2017): University of Trento, Italy MSc (2010): Belorusian State University of Informatics and Radioelectronics B.Eng (2009): Belorusian State University of Informatics and Radioelectronics His research interests span computer vision , generative models , 3D reconstruction , and personalization , with a focus on making large models efficient and mobile-compatible . Recent publications highlight advancements in 4D video generation , text-guided 3D composition , and lightweight architectures . Key scientific awards include the SIGGRAPH Real-Time Live! 2020 Best in Show for Interactive Video Stylization. He has also served on technical program committees for top-tier conferences like CVPR, ICCV, SIGGRAPH, and NeurIPS since 2022. His team organizes tutorials and keynotes, including courses on Deep Generative Models and Efficient Neural Networks . While no direct student names are listed, his collaborative work spans 60+ top-tier publications.

Jian Zhangمشاهده پروفایل

استاد

• Computer Vision
• Pattern Recognition
• Data Analytics
• +۳ مورد دیگر

Prof. Jian Zhang is a Professor in the School of Electrical and Data Engineering at the University of Technology Sydney (UTS), specializing in computer vision, pattern recognition, and multimedia signal processing. He leads the Multimedia Data Analytics Lab at the Global Big Data Technologies Centre, focusing on agri-food sector applications such as livestock monitoring and AI-driven solutions for agricultural efficiency. Education : PhD, School of Information Technology and Electrical Engineering, University of New South Wales, 1999 MSc, The Flinders University of South Australia, 1994 BSc, East China Normal University, 1982 Research Interests : His work spans 2D/3D computer vision, large-scale image/video analytics, and cross-disciplinary projects in agriculture and remote sensing. He has pioneered AI systems for livestock counting, poultry welfare monitoring, and fish quality assessment, funded by organizations like Meat & Livestock Australia and Australian Eggs. Grants & Projects : Current projects include AI-based hen health monitoring ($5M+ funding since 2011) Collaborations with industry partners like Sydney Fish Market and Fremantle Port Students & Academic Leadership : Supervised 19 PhD graduates and 5 research fellows Recruiting new PhD candidates in computer vision and data analytics Labs & Teams : Director of the Multimedia Data Analytics Lab, collaborating with global experts through UTS's Distinguished Visiting Scholars program.

Ryo Suzukiمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Augmented Reality (AR)
• Virtual Reality (VR)
• +۵ مورد دیگر

Ryo Suzuki is an Assistant Professor at the ATLAS Institute within the University of Colorado Boulder's Computer Science department. His research focuses on innovative intersections of Human-Computer Interaction (HCI), Augmented Reality (AR), and robotics. He explores systems that blend AI, haptics, and shape-changing interfaces to create enriched user experiences. Key areas of investigation include embedding interactivity into static educational materials (e.g., textbooks), developing AI-driven AR tools for procedural instruction, and creating shape-changing robotics for tactile feedback. His work often emphasizes practical applications in education, remote collaboration, and creative industries. Recent projects include MapStory (LLM-driven map animation), RealityEffects (3D volumetric video augmentation), and HoloDevice (holographic cross-device collaboration).

Sharon Kinsellaمشاهده پروفایل

مدرس

• Japanese Cultural Studies
• Subcultures and Youth Movements
• Manga and Visual Culture
• +۶ مورد دیگر

Dr. Sharon Kinsella is a Lecturer in Japanese Studies at the University of Manchester, specializing in Japanese subcultures, media, and gender dynamics. She holds a DPhil in Sociology from the University of Oxford and has previously held positions at Yale, MIT, Oxford, Cambridge, and Manchester. Current research focuses on 'otoko no ko' (boy daughters), male cross-dressing culture, and the political economy of cuteness in Japan. Her work bridges manga studies, subcultural analysis, and feminist sociology. Recent publications analyze male subcultures in low-fertility Japan, cross-dressing in 2D/3D contexts, and materialist youth styles. She contributes to UN SDGs related to gender equality and social inclusion through her cultural critiques.

Jia-Bin Huangمشاهده پروفایل

دانشیار

• Computer Vision
• Computer Graphics
• Machine Learning
• +۴ مورد دیگر

Jia-Bin Huang is an Associate Professor in the Department of Computer Science at University of Maryland, College Park , with a secondary appointment at the University of Maryland Institute for Advanced Computer Studies . His work bridges computer vision , computer graphics , and machine learning . His research focuses on 3D scene reconstruction , neural radiance fields , generative models , and multimodal foundation models . He has made significant contributions to video super-resolution , text-driven 3D modeling , and inverse rendering techniques. 15 recent publications (2024-2025) at top venues: CVPR , NeurIPS , SIGGRAPH Asia , 3DV , and ECCV Pioneering work in Urban Scene Inverse Rendering , Generative Video Editing , and 3D Human Digitization He has received multiple awards including the 3M Non-Tenured Faculty Award , ETRA Best Paper , and NSF Grants . His lab trains 12 PhD students and has graduated 18 Masters/PhD students now at institutions like Stanford , Meta , and Google .

• Systematic Botany
• Lichen Symbiosis
• Plant Ecology
• +۳ مورد دیگر

Lucia Muggia serves as an Associate Professor in Systematic Botany at the Department of Life Sciences (DSV) of the University of Trieste. She holds multiple institutional roles including Department Council Member, Course of Study Recommendations Member for Environmental Biology programs, and Coordinator of the 'Environment and Life' PhD program (XXXIX Cycle). Her academic activities span across several degree programs including SM56 - Environmental Biology, SM58 - Ecology and Sustainability of Global Change, and multiple cycles of the PHD01 - Environment and Life doctoral program. Professor Muggia's research focuses on the biology of lichen symbiosis and plant-animal ecophysiology within the Environmental Biology research group. Her work intersects with environmental monitoring, ecological responses to global change, and plant-environment interactions. The research themes evident from her project involvement include environmental biomonitoring, ecological sustainability, and plant responses to environmental stressors. She actively participates in numerous research initiatives, often serving as Scientific Manager or Financial Manager for projects funded by various entities including the Ministry of University and Research, University of Udine, OGS (National Institute of Oceanography and Experimental Geophysics), and other research organizations. Current projects include 'iNEST Interconnected North-East Innovation Ecosystem,' 'Effects of 2D-NanoMaterials on seed plants reproduction,' and 'Prot. 2022Z7PXKW - Graphite for graphene: digging into the diversity of primary degrading microorganisms.' Research Group: Biology of lichen symbiosis (Prof. Tretiach) - Environmental Biology - Plant and animal ecophysiology Departmental Roles: Department Council Member, Course of Study Recommendations Member Doctoral Programs: Coordinator for PHD01 - Environment and Life - XXXIX Cycle, Member for multiple previous cycles (XXX through XXXVIII)

Stephen Brooksمشاهده پروفایل

استاد

• Computer Graphics
• Visualization
• Human-Computer Interaction
• +۱۳ مورد دیگر

Stephen Brooks is a Professor in the Faculty of Computer Science at Dalhousie University, actively contributing to research and education in computer graphics, visualization, and human-computer interaction. He is affiliated with the Human-Computer Interaction, Visualization & Graphics research cluster and currently supervises multiple graduate students on diverse projects. PhD in Computer Science, University of Cambridge (2004) MSc in Computer Science, University of British Columbia (2000) BSc, Brock University (1998) His research focuses on computer graphics and visualization, particularly non-photorealistic rendering, image editing, 3D geospatial systems, ocean visualization, and real-time rendering of natural phenomena. He has also worked in sound synthesis and motion editing. His recent publications show a strong emphasis on visual analytics, network flow visualization, and ocean science applications. His work spans interdisciplinary domains including environmental science, genomics, cybersecurity, and digital art. He has developed visualization tools for ocean science under a major CFREF-funded initiative and created novel methods for rendering stained glass, mixed media art, rivers, and ocean surfaces. His research integrates perception, automation, and user interaction to enhance visual analysis. Notable scientific contributions include work on tone mapping optimization, uncertainty visualization using chromatic aberration, semantic object clouds, and hybrid 2D/3D GIS. His publications appear in top venues such as IEEE TVCG, ACM Transactions, and SIGGRAPH. NSERC Discovery Grants Canada First Research Excellence Fund (CFREF) NSERC CREATE Mitacs Accelerate and Globalink CFI New Opportunities Grant Cyber Security Research and Development Grant He has supervised numerous PhD, Master’s, and undergraduate students in areas including ocean visualization, tone mapping, network security, VR, and geospatial analytics. He teaches courses in Game Design, Visualization, Computer Animation, and Network Computing, emphasizing project-based and interdisciplinary learning. He leads research in visual analytics for network data (FloVis), ocean science, and mixed reality collaboration. His lab develops interactive systems for data exploration in domains ranging from marine biology to cybersecurity. Future work includes expanding ocean-first climate visualization and enhancing mixed presence collaboration in immersive environments.

Alla Shefferمشاهده پروفایل

استاد

• Geometry Processing
• Computer Graphics
• Discrete Geometry
• +۷ مورد دیگر

Alla Sheffer is a Professor and Associate Head of Faculty Affairs in the Department of Computer Science at the University of British Columbia, Faculty of Science. She is affiliated with multiple research centers including CAIDA (Centre for Artificial Intelligence Decision-making and Action), the Institute of Applied Mathematics, and ICICS (Institute for Computing, Information and Cognitive Systems). B.Sc., Hebrew University, Jerusalem (1991) M.Sc., Hebrew University, Jerusalem (1995) Ph.D., Hebrew University, Jerusalem (1999) Postdoctoral Research Associate, University of Illinois, Urbana-Champaign (1999-2001) Assistant Professor, Technion, Israel (2001-2003) Assistant Professor, University of British Columbia (2003-2008) Associate Professor, University of British Columbia (2008-present) Professor Sheffer's research focuses on geometry processing, addressing algorithmic challenges in digital shape modeling and manipulation. Her work primarily deals with discrete geometry representations, specifically meshes (polygonal model representations), with applications in computer graphics and computer-aided engineering. She utilizes tools from computational and differential geometry, discrete mathematics, and graph theory to generate, manipulate, and edit discrete geometric models. Her research spans virtual and augmented reality, visual computing, and 3D modeling, with significant contributions to sketch-based modeling, mesh processing, and cloth simulation. The 15 most recent publications reveal a consistent research trajectory in geometry processing, with recent work focusing on vector sketch processing, VR drawing tools, and advanced mesh manipulation techniques. Her work demonstrates a strong connection between human perception and computational methods, particularly in the interpretation of freehand sketches and the generation of perceptually-accurate geometric representations. The recurring themes across her publications include flowlines, curve networks, mesh parameterization, and the application of perceptual studies to improve algorithmic outputs. Eurographics Fellow ACM Fellow IEEE Fellow Royal Society of Canada Fellow SIGGRAPH Academy Member UBC Killam Research Prize NSERC Discovery Accelerator Supplement IBM Faculty Award Professor Sheffer has supervised numerous doctoral and master's students, with recent theses focusing on geometric mesh processing, vector sketch interpretation, VR drawing tools, and garment modeling. Her research group maintains strong connections with industry through various partnerships and has received substantial grant funding to support their innovative work in geometry processing and computer graphics. She teaches courses in computer graphics, geometric modeling, and video game programming, contributing significantly to both undergraduate and graduate education in computer science.

Sheng Sangمشاهده پروفایل

استادیار

• Mechanical Engineering
• Biomedical Engineering
• Machine Learning
• +۷ مورد دیگر

Sheng Sang is an Assistant Professor in the Department of Engineering Sciences at Bethany Lutheran College. His research lies at the intersection of Mechanical Engineering and Biomedical Engineering, with a strong emphasis on machine learning applications in composite materials and elastic metamaterials. His research interests include: Mechanical & Biomedical Engineering Machine Learning on Composites Elastic Metamaterials and Composites Optimization of Medical Devices Finite Element Modeling and Simulation Dr. Sang's recent publications demonstrate a consistent focus on integrating deep learning techniques with mechanical systems, particularly in predicting composite microstructures, tracking particles in complex systems, and optimizing wave propagation in metamaterials. His work frequently employs 3D CNNs and other neural architectures to solve inverse problems in material science. Scientific awards and recognition include: Dr. Lehtola Fellowship Research Grant ($9,000, PI), 2021–2023 Graco Engineering Lab Development Grant ($60,000), 2020–2022 He has been actively involved in teaching a wide range of engineering courses such as Fluid Mechanics, Solid Mechanics, Thermodynamics, and Computer-Aided Design. His research is supported by external grants, indicating active supervision and project leadership. Dr. Sang has collaborated with researchers across disciplines, including neuroscience and medical imaging, particularly in studies involving deep brain stimulation and fMRI. He is affiliated with research teams working on: Active elastic metamaterials design Machine learning for material characterization Optimization of biomedical devices using swarm intelligence Development of advanced simulation tools for composite systems

Edward S. Ahnمشاهده پروفایل

استاد

• Pediatric Neurosurgery
• Neurovascular Surgery
• Fetal Surgery
• +۳ مورد دیگر

Edward S. Ahn, M.D., is a Professor of Neurosurgery and Pediatrics at Mayo Clinic in Rochester, Minnesota. As a pediatric neurosurgeon, he specializes in minimally invasive techniques for craniosynostosis, fetal surgery for myelomeningocele, and management of pediatric neurovascular disorders like arteriovenous malformations and moyamoya disease. Education: B.A. in Biology and East Asian Studies, Harvard University (1999) M.D., New York University School of Medicine (2000) Internship in General Surgery, University of Maryland Medical Center (2001) Residency in Neurosurgery, University of Maryland Medical Center (2006) Fellowship in Pediatric Neurosurgery, Children’s Hospital (2007) Dr. Ahn’s research focuses on improving surgical outcomes for children with neurosurgical conditions, including craniosynostosis , hydrocephalus , and Chiari malformation . He pioneered image-based craniometric diagnostics for early craniosynostosis detection and explores telehealth applications for neonatal cranial screening. His recent work analyzes machine learning integration in surgical diagnostics. His publications span pediatric neurosurgical outcomes , fetal interventions , and vascular anomaly management . Dr. Ahn serves on editorial boards for Journal of Neurosurgery: Pediatrics and Child's Nervous System , and has received multiple Top Doctor recognitions since 2011. He also contributes to surgical education as Director of Neurosurgical Medical Student Education at Johns Hopkins University (2013–2014).

Stefano Buosoمشاهده پروفایل

مدرس

• Biomedical Engineering
• Cardiovascular Modeling
• Computational Fluid Dynamics
• +۴ مورد دیگر

Dr. Stefano Buoso is a Lecturer at ETH Zürich's Department of Information Technology and Electrical Engineering, specializing in biomedical imaging and computational mechanics. His research focuses on cardiovascular modeling, fluid-structure interaction, and reduced-order modeling. He holds a position in the Professur für Biomedizinische Bildgebung (Biomedical Imaging Professorship). Key research areas include computational fluid dynamics applied to cardiovascular systems, development of machine learning tools for medical imaging (e.g., MRI and echocardiography), and creation of patient-specific numerical phantoms. His work bridges engineering and medicine, with applications in clinical diagnostics and personalized medicine. Recent articles emphasize innovations like automated 3D heart modeling from 2D echocardiography, synthetic MRI data generation, and turbulence analysis in aortic flow. He has developed open-source tools like CMRsim for cardiovascular simulations. Buoso collaborates on digital twin technologies for carotid artery disease assessment and fluid dynamics modeling of biological systems. His technical contributions include methods for rapid mesh generation, stabilized reduced-order models, and MRI-guided cardiac shape modeling. Research spans from microvascular neurovascular unit studies to bio-inspired membrane wing aerodynamics, reflecting interdisciplinary expertise.

Sidonie Christopheمشاهده پروفایل

عضو هیئت علمی

• Geographic Information Sciences
• Geovisualization
• Map Design
• +۱۲ مورد دیگر

Sidonie Christophe is a Senior Researcher (Directrice de Recherche, DR1) at UMR LASTIG, a joint research unit of Université Gustave Eiffel, IGN-ENSG, and EIVP. She serves as co-director of the LASTIG laboratory and leads research in geovisualization, map design, and interactive spatial data exploration. She also holds a part-time advisory role (60%) at the French Ministry of Higher Education and Research in the domain of digital technology, environment, climate, and sustainable urban development. PhD in Geographic Information Sciences Senior Researcher, DR1, MTECT Co-Director, LASTIG Laboratory (since 2021) Former Team Leader, GEOVIS (Geovisualization, Interaction, and Immersion) Advisor, Environment and Urban Climate, French Ministry of Higher Education & Research Her research centers on innovative methods for 2D/3D and nD geospatial data visualization, with a focus on enabling spatio-temporal understanding through visual and non-visual spatial thinking. Her work integrates principles from geographic information science, human-computer interaction, and computer graphics. Key areas include urban climate visualization, tactile and augmented reality for accessibility, expressive cartographic rendering, and cognitive aspects of map design. She investigates how aesthetic and semiotic choices impact map comprehension and utility. The 15 most recent publications reflect a strong trend in interactive and accessible geovisualization, particularly for urban and environmental applications. Topics include neural map style transfer, 3D urban climate analysis, tactile maps for the visually impaired, augmented reality in geography, and visual analytics for crisis and climate data. There is a consistent emphasis on user-centered design, interdisciplinary integration, and the development of tools for decision-making under uncertainty. Scientific Recognition and Service: Invited speaker at major conferences (IEEEVIS, AGILE, ICC, CPGIS) Co-organizer of international workshops (e.g., GeoVIS, ISPRS AR/VR sessions) Leader of national research projects (ANR ORACLES, ANR ACTIVmap, ANR ECOCIM) Recipient of international mobility grants (AMICI I-SITE FUTURE) Contributor to national glossaries and research strategy (e.g., French photogrammetry glossary) Advising and Grants: Sidonie Christophe actively supervises PhD students and postdoctoral researchers, including Markie Jiang, Maria-Jesus Lobo, and Alexandre Mielniczek. She leads or participates in multiple funded research projects such as ANR ORACLES (marine flooding visualization), ANR ACTIVmap (tactile 3D maps), and ANR ECOCIM (eco-design of city information models). Her advisory role at the MESR involves shaping national research strategy in digital and environmental sciences. Labs and Research Teams: She is a core member of the GEOVIS team (Geovisualization, Interaction, and Immersion) at LASTIG and previously served as its leader. As co-director of LASTIG, she plays a central role in the leadership and strategic direction of the entire laboratory, which comprises over 100 researchers across four teams: ACTE, GEOVIS, MEIG, and STRUDEL.

Albert Erivesمشاهده پروفایل

دانشیار

• Regulatory Genomics
• Evolutionary Genomics
• Evolution of Metazoa
• +۶ مورد دیگر

Albert Erives is an Associate Professor in the Department of Biology at the University of Iowa , specializing in regulatory genomics, evolutionary genomics, and the evolution of metazoans. His research focuses on decoding gene regulatory logic in DNA sequences, particularly during animal embryogenesis, using comparative genomics to identify regulatory modules driving phylogenetic transitions. PhD from University of California, Berkeley His work spans eukaryotic gene regulation, integrating biochemistry, molecular genetics, and computational biology to uncover principles of organismal evolution. Recent studies include viral nucleosome structure, Notch signaling pathway evolution, and enhancer organization in model organisms like Drosophila and Ciona . Notable scientific awards include the NSF CAREER Award (2012, 2010) . He actively seeks graduate students and postdoctoral researchers for his laboratory, which utilizes core facilities such as the Carver Center for Genomics.