جست‌وجوی استاد و پژوهشگر

Jennifer Birkelandمشاهده پروفایل

دانشیار

• Landscape Architecture
• Architecture
• Design Theory
• +۶ مورد دیگر

Jennifer Birkeland is an Associate Professor and Director of Graduate Studies in the Landscape Architecture department at the College of Agriculture and Life Sciences , Cornell University. As a licensed landscape architect in New York and LEED-accredited professional, she co-founded the multidisciplinary design practice op-AL in Brooklyn, New York, which explores the interplay between landscape and architecture. Education : Master of Landscape Architecture, Harvard University Graduate School of Design; Bachelor of Science in Landscape Architecture, California Polytechnic State University, Pomona. Research Focus : Her work investigates themes like opticality , synthetic natures , and figure-ground relationships , challenging conventional subject-object dynamics in design. She explores micro-infrastructures , kinetic culture , and perceptual reversibility in projects spanning urban design to domestic landscapes. Publications highlight innovations in virtual classrooms , urban hydrogen energy systems , and high-density food production . Scientific Awards : American Academy in Rome Prize (2018), Mark Hampton Award in Design (2018), Center for Teaching Innovation Grant at Cornell (2019), CSI Research Fellow at Landscape Architecture Foundation (2021). Teaching : Courses include LA 5020 Theory and Composition II Studio , LA 5060 Graphic Communication II , and LA 6940 Landscape Elements .

• Geometric Data Processing
• Computational Geometry
• Optimal Transport
• +۷ مورد دیگر

Justin Solomon is an Associate Professor in the Department of Electrical Engineering & Computer Science at Massachusetts Institute of Technology, where he serves as Principal Investigator of the Geometric Data Processing Group. He maintains dual affiliations with the Computer Science and Artificial Intelligence Laboratory (CSAIL) and the MIT Center for Computational Science and Engineering (CCSE), reflecting his interdisciplinary research bridging theoretical mathematics with practical applications in graphics and machine learning. His research interests center around geometric data processing, computational geometry, and optimal transport theory, with significant contributions to computer graphics, machine learning, and computer vision. Solomon's work spans fundamental mathematical theory to practical implementations, particularly in shape analysis, 3D reconstruction, and geometric deep learning. His research demonstrates consistent innovation in developing algorithms that bridge discrete and continuous geometry with applications in graphics, vision, and AI. The publication trends reveal Solomon's evolving research trajectory from foundational work in geometry processing toward increasing integration with modern machine learning techniques. His recent work shows strong emphasis on diffusion models, geometric deep learning, and applications of optimal transport in AI, with significant contributions to SIGGRAPH, NeurIPS, and ICML proceedings. The research demonstrates both mathematical rigor and practical impact, with applications spanning character animation, 3D reconstruction, and generative AI. Amazon Research Award (2017) for Large-Scale Geometrically-Structured Sampling Amazon Research Award (2023) for Lightweight Algorithms for Generative AI Ben Wegbreit Prize for Best Undergraduate Honors Thesis Firestone Medal for Excellence in Undergraduate Research Boothe Prize for Excellence in Writing 2nd place, SGP best paper awards (2010) Solomon has secured substantial research funding through awards like the Amazon Research Awards and maintains active collaborations across academia and industry. His group has produced numerous influential publications with students and collaborators, contributing significantly to both theoretical foundations and practical implementations in geometric data analysis. His textbook "Numerical Algorithms" demonstrates his commitment to education alongside research. As Principal Investigator of the Geometric Data Processing Group, Solomon leads a research team focused on developing mathematical foundations for analyzing and processing geometric data. The group maintains strong connections with both theoretical mathematics and practical applications, working at the intersection of computer graphics, machine learning, and computational geometry. Their work has significant implications for fields ranging from computer animation to medical imaging and scientific computing.

Neitzke Adamo, Laurenمشاهده پروفایل

دانشیار

• Paleoceanography
• Stable Isotope Stratigraphy
• Geoscience Education
• +۴ مورد دیگر

Lauren Neitzke Adamo is an Associate Professor in the Department of Earth and Planetary Sciences at Rutgers University, where she directs the Undergraduate Program (2022–present) and co-leads the Rutgers University Geology Museum (2016–present). Her career includes roles as Assistant Teaching Professor (2016–present), Lecturer (2008–2016), and prior leadership at the museum. Education : Ph.D. (2016), M.S. (2006), and B.S. (2004) from Rutgers University. Her research spans paleoceanography , stable isotope stratigraphy , and innovative geoscience education , focusing on drone-based remote sensing, 3D visualization, and museum outreach. She integrates technology like UAVs and 3D printers to enhance educational experiences and coastal process analysis. Recent publications highlight her work in virtual field trips (Newark Basin), drone-assisted coastal geomorphology, and science communication through comics and interactive museum exhibits. Collaborative projects emphasize democratizing geospatial tools and engaging diverse audiences via digital platforms.

Philipp Slusallekمشاهده پروفایل

استاد

• Computer Graphics
• Artificial Intelligence
• High-Performance Computing
• +۷ مورد دیگر

Philipp Slusallek is a Professor for Computer Graphics at Saarland University since 1999 and Scientific Director at the German Research Center for Artificial Intelligence (DFKI), leading the "Agents and Simulated Reality" research area since 2008. He has held leadership roles such as Director for Research at the Intel Visual Computing Institute (2009-2017) and Dean of the Faculty of Computer Science and Mathematics (2002-2004). His affiliations include being a Principal Investigator in the German Excellence Cluster "Multimodal Computing and Interaction" (2007-2019) and a Visiting Professor at NVIDIA Research (2007-2008). PhD in Computer Science from Erlangen University Diploma in Physics from Frankfurt and Tübingen University His research spans computer graphics, artificial intelligence, and high-performance computing, with contributions to real-time ray tracing, digital reality, motion synthesis, and domain-specific languages (DSLs). Recent work includes visual programming tools for image processing (2022), DSL frameworks for high-performance libraries (2018), and compiler optimizations for vectorized code (2018). Key themes include simulation technologies, programming models, and computational sciences. Scientific honors include Fellow of Eurographics, Associate Editor of Computer Graphics Forum , membership in acatech (German National Academy of Science and Engineering), and advisory roles in AI policy. He has led research groups at institutions like Stanford University (Visiting Assistant Professor, 1998-1999) and the University of Tübingen (Researcher, 1990-1992).

Piotr Gmytrasiewiczمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Multiagent Systems
• Decision Theory
• +۷ مورد دیگر

Piotr Gmytrasiewicz is an Associate Professor at the Department of Computer Science, University of Illinois at Chicago (UIC). He leads the Multiagent Systems Group within the Artificial Intelligence Laboratory at UIC. His research focuses on rationality in artificial agents , particularly in environments with multiple interacting agents. Key areas include Interactive Decision-Making Bayesian Modeling for Agent Communication Recursive Belief Frameworks Time Pressure and Computational Trade-offs Evolution of Agent Communication Languages Dynamic Resource Allocation His recent work examines the rationality of insincere communication and methods to discount potentially insincere information. Past projects include modeling emotions in agent design and developing decision-theoretic approaches to game theory. He has secured funding from prestigious institutions such as the National Science Foundation (NSF) , Office of Naval Research (ONR) , and DARPA . Current and past projects emphasize Automated Linguistic Competence Evolution Emergent Communication Protocols Scalable Multiagent Learning Strategic Coordination under Uncertainty He earned his Ph.D. from the University of Michigan, Ann Arbor (1992) and has previously collaborated with the Department of Computer Science and Engineering (CSE) at the University of Texas at Arlington on DARPA-funded research.

Arthi Manoharمشاهده پروفایل

مدرس ارشد

• Human–Computer Interaction
• Inclusive Design
• Participatory & Co-design
• +۵ مورد دیگر

Dr Arthi Manohar is a Senior Lecturer in Design at Brunel University London and serves as Programme Director for the BSc Product Design degree within Brunel Design School, College of Engineering, Design and Physical Sciences. Since joining Brunel in 2018 she has led multiple undergraduate and master-level modules, championed Equality, Diversity & Inclusion, and secured significant EPSRC research funding. Education PhD Digital Product Design, University of Dundee (2017) MA Architecture and Digital Media, University of Westminster (2009) BArch Architecture, National Institute of Technology, India (2007) FHEA (Fellow of the Higher Education Academy), 2021 Research Interests Arthi’s research lies at the intersection of social design and emerging technology . She investigates participatory, inclusive and co-design approaches to Human–Computer Interaction, privacy and trust in the Internet of Things, and the application of AI to accessibility and health technologies. Her work emphasises human values, cross-cultural perspectives and ethical considerations in technology design. Recent funded projects include Trust in Home: Rethinking Interface Design in IoT (EPSRC HDI Network Plus) and From Understanding Privacy and Trust to Re-visualising TAPESTRY (EPSRC Sandpit). She collaborates across disciplines with partners such as the University of Nottingham, University of Kent, Royal Holloway and industry partners like LoomiAssist Ltd. Publications & Scholarly Service Arthi has published extensively in top-tier venues such as DRS, DIS, British HCI, Multimedia Tools & Applications, IEEE Transactions on Services Computing and CHI Workshops. Since 2020 she has served as Equality, Diversity & Inclusion Champion for the Department of Design and has held programme-committee roles for British HCI 2021, DIS 2019 and IndiaHCI 2019. PhD Supervision & Teaching She currently supervises four doctoral researchers exploring antimicrobial resistance design, stigma in assistive technology, virtual production and user engagement. At undergraduate and masters levels she leads modules on Interaction & UX Design, Digital Design Prototyping, Professional Practice and Design Communication, and has mentored over a dozen master dissertations on inclusive design, AI/AR retail experiences and speculative futures.

Kwame Porter Robinsonمشاهده پروفایل

استادیار

• Community-Based Economies
• Digital Sustainability
• Generative Justice
• +۵ مورد دیگر

Kwame Porter Robinson serves as Assistant Professor of Technology, Information Systems and Analytics at Wayne State University, where he develops community-based economic systems through co-designed AI and automation. His work bridges academic research with practical applications in digital sustainability and generative justice, informed by prior experience as a Department of Defense data scientist and NGO consultant. His educational background spans technical and creative disciplines: Ph.D. in Information, University of Michigan (2024) M.S. in Computer Science, University of Maryland (2012) B.S. in Electrical Engineering (honors), New Mexico State University (2008) B.F.A. in Graphic Design (magna cum laude), Boston University (2002) Research focuses on decolonial computing and community economies , examining how human-AI collaboration can create unalienated labor systems in artisanal contexts. His methodology emphasizes bottom-up technology co-design with communities, particularly evident in Detroit-based artisan studies and blockchain implementations for economic empowerment. Publications since 2019 reveal accelerating focus on computational reparations and generative justice, with recent work exploring fractal scaling in AI governance and worker-owned AI ecosystems. Key themes include decolonial transitions, circular value flow, and environmental sustainability in crafting economies. Scientific recognition includes: Rackham Merit Fellowship (2019-2024) with multiple research grants AWS Cloud Credits for Research (2019) Best Student Talk award for ethical AI (2023) National Intelligence Meritorious Unit Citation (2012) Teaching includes Business Information Systems and Blockchain & CyberSecurity courses, reflecting his industry-academia synthesis. While specific grant details beyond Rackham awards aren't provided, his DoD background and AWS credits indicate strong industry partnerships. Collaborative work with scholars like Ron Eglash demonstrates interdisciplinary team engagement in justice-oriented computing initiatives.

Stefan Brucknerمشاهده پروفایل

استاد

• Visual Analytics
• Information Visualization
• Scientific Visualization
• +۳ مورد دیگر

Stefan Bruckner is a Professor at the University of Rostock , leading the Chair of Visual Analytics within the Institute of Visual and Analytic Computing. His work bridges Visual Analytics , Biomedical Visualization , and Interactive Systems , with a focus on translating complex datasets into actionable insights. Role: Chair of Visual Analytics Key Affiliations: Eurographics Executive Committee, IEEE VGTC Editorial Leadership: Associate Editor, IEEE Transactions on Visualization and Computer Graphics Research spans Medical Visualization , Immersive Analytics , and Proteogenomic Data Exploration . Recent work includes: ProHap Explorer for haplotype analysis Line Harp sonification techniques Narrative visualization frameworks His publications reveal trends in interactive data exploration , multi-omics visualization , and user behavior analysis within medical contexts. Awards include contributions to the Dirk Bartz Prize in 2019. He actively collaborates with international institutions and maintains memberships in ACM, IEEE, and GI.

Anna Rebecca Unterholznerمشاهده پروفایل

استادیار مهمان

• Neuroaesthetics
• Artistic Research
• Gender Equity
• +۹ مورد دیگر

Anna Rebecca Unterholzner is an artist, researcher, and lecturer affiliated with the University of Évora (Department of Visual Arts and Design) and Macromedia University of Applied Sciences. She holds a BSc in Economic and Social Sciences from WU Vienna, an MSc in Philosophy from the University of Luxembourg, and a PhD in Multimedia Arts from the Faculty of Fine Arts, University of Lisbon. Educational Background: BSc (WU Vienna), MSc (University of Luxembourg), PhD (University of Lisbon). Current Roles: Visiting Assistant Professor at University of Évora and Lecturer at Macromedia University. Her research integrates neuroaesthetics, affect theory, and transdisciplinary art practices. She explores the interplay between emotions, gender equity, and augmented reality, emphasizing embodied perception and the merging of real/virtual environments. Her work bridges artistic practice with scientific inquiry, focusing on how interactive technologies and game-based learning can transform educational and therapeutic contexts. Across her publications, Unterholzner investigates neuroaesthetics, digital games' impact on mental health, and invisible imagery through augmented reality. Her methodologies combine practice-based research, phenomenology, and biocultural studies, reflecting a commitment to expanding knowledge via arts-based strategies. She collaborates with institutions like the eGames Lab and Interactive Technologies Institute (Portugal) and engages in international conferences such as ISEA 2022. Her projects often address sustainability, inclusion, and the symbolic function of art in reshaping societal challenges.

William Bulkoمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Expert Systems
• Programming Languages
• +۲ مورد دیگر

William Bulko is an Associate Professor in the Department of Computer Science at the University of Texas at Austin. His work bridges Artificial Intelligence, Programming Languages, and Computer Science Education, with a focus on mobile development and pervasive computing. Ph.D. in Computer Sciences (UT Austin, specialization in Artificial Intelligence) B.S. in Mathematics (University of Texas at El Paso, Summa Cum Laude) Research spans interdisciplinary projects, such as integrating Computer Science with Journalism, and technical innovations in: Network Security (ARP Cache diagnostics) Hardware Authentication (electromagnetic profiling patents) Object-Oriented Systems (access control, operator overloading) Diagrammatic Reasoning (physics problem-solving, visual languages) His publications highlight expertise in AI, software engineering, and educational technology, with recent patents on computing desktop management and device security. Bulko serves on the Review Board of Applied Intelligence and as Faculty Advisor for the UT CS Roadshow. Scientific Recognition : 1988 MCC Award for Excellence in Computer Science nominee Teaching roles include CS 371L: Mobile Programming for iOS and CS 329E: Elements of Web/Mobile Computing . He has also led summer programs on Python and iOS development.

Tim Chenمشاهده پروفایل

مدرس ارشد

• Human-Computer Interaction
• Computer Graphics
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Tim Chen is a Senior Lecturer at the School of Computer Science, University of Adelaide, with research focused on augmenting human capabilities through human-centered AI systems. He leads interdisciplinary teams in projects like the Augmenting Ability CRC and the IMAGENDO Project , which received the Eureka Prize and NHMRC Idea Grant. Affiliation: University of Adelaide Collaborators: Prof. Patrick Baudisch (HPI), Prof. Takeo Igarashi (U of Tokyo), Prof CT Lin (UTS), Dr. Li-Yi Wei (Adobe Research) Research Interests: Human-AI interaction paradigms ( AI as Assistant, Collaborator, Oracle ), virtual reality training, contrastive learning, and data visualization. His work bridges AI/ML, computer graphics, and human-computer interaction to empower knowledge workers. Recent Achievements: Two CHI 2025 papers on VR learning, SIGGRAPH 2025 jury committee role, and ARC DP analysis website development. Funding includes NHMRC (~$2M) and AEA Ignite grants. Scientific Awards: Eureka Prize-winning leadership NHMRC Idea Project Grant AEA Ignite Grant (~$500k)

Frank Bergmannمشاهده پروفایل

پژوهشگر

• Computational Systems Biology
• Biochemical Network Modeling
• Simulation Software Development
• +۳ مورد دیگر

Dr. Frank Bergmann is a Researcher at BioQuant (Center for Quantitative Analysis of Molecular and Cellular Biosystems) within the Faculty of Biosciences at Heidelberg University. His work focuses on computational systems biology with particular emphasis on developing simulation tools and standards for biochemical network modeling. He maintains an active research profile with numerous publications spanning from 2011 to 2018 and teaches programming courses including Python and C++. His research interests center around computational systems biology, with specific expertise in biochemical network modeling, simulation software development, and systems biology standards. Dr. Bergmann has made significant contributions to the development of COPASI (Complex Pathway Simulator) and SBML (Systems Biology Markup Language), which are widely used tools and standards in the field. His work enables researchers to create, simulate, and share computational models of biological processes. Analysis of his publication record reveals a consistent focus on developing standards and infrastructure for reproducible computational biology. His work spans model representation (SBML), simulation experiment description (SED-ML), data exchange formats (SBtab), and model archiving (COMBINE). These contributions have helped establish frameworks that enable collaborative, reproducible research in systems biology across international boundaries. Dr. Bergmann actively collaborates with researchers worldwide, as evidenced by his extensive co-authorship network across multiple publications. His work bridges computer science, mathematics, and biological sciences, contributing to Heidelberg University's strong presence in molecular life sciences research.

• Human-Computer Interaction
• Virtual Reality
• Body-Based User Interfaces
• +۳ مورد دیگر

Joanna Bergström is an Associate Professor in the Department of Computer Science within the Faculty of Science at the University of Copenhagen. Her research focuses on human-centered computing, specifically in human-computer interaction (HCI), virtual reality (VR), and body-based user interfaces. Based at Sigurdsgade 41 in Copenhagen, she maintains an active research profile with 41 publications and significant international collaborations. Her primary research interests include virtual reality systems , haptic feedback mechanisms , interaction techniques , and perceptual studies . She investigates experimental methods in HCI, human perception, motor skills, and statistical modeling. Current projects explore tendon vibration for movement illusions in VR, ultrasound-based chemical stimulants for skin haptics, and doorway effects on memory in virtual environments. Analysis of her 15 most recent publications (2023-2025) reveals strong emphasis on VR locomotion techniques , haptic perception , and cognitive aspects of virtual environments . Key trends include multimodal feedback systems (combining tactile and chemical stimulation), real-world application of VR for medical training, and rigorous experimental validation of interaction paradigms. Her work frequently appears in top venues like CHI and IEEE Transactions on Haptics. Bergström maintains active research networks across multiple countries, with significant external collaborations reflected in her publication record. Her work has been referenced by 12 news outlets and garnered attention on social media platforms including X (7 users) and Bluesky (3 users), while accumulating 23 Mendeley readers for her 2025 DIRA paper.

• Spectral Shape Analysis
• 3D Shape Matching
• Geometric Deep Learning
• +۳ مورد دیگر

Riccardo Marin is a Postdoctoral Researcher at the Technical University of Munich (TUM), affiliated with the School of Computation, Information and Technology and the Computer Vision Group . His research focuses on Spectral Shape Analysis , 3D Shape Matching , Geometric Deep Learning , and Virtual Humans . PhD from University of Verona Postdoctoral experience at GLADIA (Sapienza University of Rome) and Tuebingen University's AI Center His work bridges geometric modeling and deep learning, with notable contributions to neural surface fields, diffusion-based avatar creation, and scalable 3D human registration. He has authored publications in top venues like CVPR, ECCV, and NeurIPS, with a focus on geometric consistency and implicit representations in 3D vision. Scientific awards : Humboldt Research Fellowship Marie-Curie Postdoctoral Fellowship ELLIS Membership His research often involves collaboration with institutions such as MPI-INF and Tuebingen AI Center, with GitHub repositories like NICP, Diff-FMAPs-PyTorch, and FARM demonstrating his technical contributions in spectral analysis and 3D reconstruction.

Sammie Kattمشاهده پروفایل

پژوهشگر

• Bayesian Reinforcement Learning
• Partially Observable Markov Decision Processes
• Robotics
• +۲ مورد دیگر

Sammie Katt serves as a Postdoctoral Researcher in the Department of Computer Science at Aalto University's School of Science, specializing in Bayesian Reinforcement Learning for robotics and decision-making under uncertainty. Their work addresses critical challenges in partially observable environments through algorithmic innovation and practical implementations. Dr. Katt's research centers on Bayesian approaches to reinforcement learning, with deep expertise in Partially Observable Markov Decision Processes (POMDPs). They develop scalable algorithms for uncertainty quantification, robot navigation, and real-time decision-making, bridging theoretical advances with robotic applications. Key contributions include BADDr for adaptive POMDP solutions and gym-gridverse for simulation benchmarking. Analysis of Katt's 14 publications (2012-2023) reveals three dominant trends: (1) Bayesian methods for efficient POMDP solving using Monte Carlo tree search and deep learning, (2) Robotics applications in motion prediction, target search, and scene reconstruction, and (3) Framework development for reproducible RL research. Their work consistently emphasizes computational efficiency and real-world applicability in uncertain environments.