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Robert PatroView profile

Associate Professor

• Computational Biology
• Genomics
• Algorithms
• +8 more

Rob Patro is an Associate Professor in the Department of Computer Science at the University of Maryland, with an appointment at the University of Maryland Institute for Advanced Computer Studies. His work bridges computational biology and computer science, focusing on algorithm design and data structures for genomics applications. Education: Ph.D. in Computer Science, University of Maryland, College Park (2012) B.S. in Computer Science, University of Maryland, College Park (2006) with academic and departmental honors Patro’s research centers on developing computational methods for analyzing high-throughput genomics data, combining algorithmic innovation with statistical inference. His work extends to programming languages, parallel computing, and machine learning applications in biology. His publications at ISMB, RECOMB, and in journals like Nature Methods and Cell Systems highlight advancements in RNA-seq quantification, metagenomic analysis, and compressed genomic representations. These contributions emphasize efficiency and scalability in genomic data processing.

Elliot J. CrowleyView profile

Senior Lecturer

• Machine Learning
• Automated Machine Learning
• Neural Architecture Search
• +3 more

Elliot J. Crowley is a Senior Lecturer (Associate Professor) at the School of Engineering, University of Edinburgh, where he co-leads the Bayesian and Neural Systems research group. He serves as Programme Manager for Electronics and Electrical Engineering and has developed a comprehensive machine learning course for 4th year electronic engineering students at the University of Edinburgh. Dr. Crowley's research focuses on simplifying machine learning systems with specific expertise in automated machine learning, low-resource deep learning, and engineering applications of machine learning. His work bridges theoretical advances with practical implementations, particularly in neural architecture search and computer vision applications, with emphasis on making complex ML systems more accessible and efficient. His recent publications demonstrate significant contributions to neural architecture search spaces, training-free instance segmentation, and state space models for visual recognition, appearing in top venues including NeurIPS 2024, BMVC 2024, and AutoML 2025. These works show a consistent focus on developing practical ML solutions that can operate effectively in resource-constrained environments. Selected awards and grants: EPSRC New Investigator Award Investigator on the dAIEdge Horizon Network Co-investigator on the EPSRC AI Hub for Causality in Healthcare AI Dr. Crowley currently supervises several researchers including Postdoc Linus Ericsson and PhD students Miguel Espinosa, Shiwen Qin (with Shay Cohen), and Cameron Barker (with Henry Gouk). His former students include Chenhongyi Yang (now a Research Scientist at Meta) and Jack Turner (now a Software Engineer at Qualcomm). He actively seeks new PhD students with strong research proposals and available funding for UK students through CDTs. His research group, the Bayesian and Neural Systems group, focuses on developing practical machine learning solutions that can be deployed in resource-constrained environments, with particular emphasis on making complex ML systems more accessible to engineers and practitioners.

• Natural Language Processing
• Data Mining
• Data Management
• +4 more

Kevin Chenchuan Chang is a Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC), affiliated with the FORWARD Data Lab and the Data and Information Systems Laboratories. His research focuses on bridging structured and unstructured data through natural language processing, data mining, machine learning, and information retrieval, with applications in web search, social media analytics, and knowledge acquisition. He co-founded Cazoodle and developed GrantForward.com, a funding discovery platform used by leading institutions globally. Education: Ph.D. in Electrical Engineering from Stanford University (2001), B.S. from National Taiwan University. Professional roles include service on program committees for SIGMOD, VLDB, KDD, and NeurIPS, as well as editorial roles for PVLDB, TKDE, and the Encyclopedia of Database Systems. His awards include the ICDE 10-Year Test of Time Award (2022), NSF CAREER Award (2002), and multiple UIUC teaching excellence recognitions. He teaches courses such as CS 411 (Database Systems), CS 598 KCC (Understanding LLMs), and CS 511 (Advanced Data Management). Research contributions span graph algorithms (e.g., Geom-GCN, SimRank), social network analysis (ROSE), and NLP (DEER, Open Relation Modeling). The FORWARD Lab emphasizes real-world impact through systems like GrantForward and tools for analyzing large-scale data.

Paulo BliksteinView profile

Associate Professor

• Technology in Teaching and Learning
• Computer Modeling in Social and Behavioral Sciences
• Science and Mathematics Education
• +7 more

Paulo Blikstein is an Associate Professor of Communication, Media, and Learning Technologies Design at Teachers College, Columbia University. He holds affiliations with the Mathematics, Science & Technology department and the Communication, Media, and Learning Technologies Design program. His expertise spans curriculum design, digital innovation, science education, and educational technology. Dr. Blikstein earned a Ph.D. in Learning Sciences from Northwestern University (2009), M.Sc. in Media Arts & Sciences from MIT Media Lab (2002), and degrees in Engineering from the University of São Paulo (Brazil). His research focuses on leveraging technology to enhance learning through computational modeling, maker education, and tangible interfaces. He leads the Transformative Learning Technologies Lab and the FabLearn Program, which develop innovative tools like MoDa and PlayData, integrating computational thinking with real-world science experiments. His work emphasizes equitable access to technology-driven education, particularly in the Global South. Recent projects include deploying cloud labs for biology education, analyzing disinformation dynamics via agent-based models, and exploring how social media influences political radicalization. He critiques commercial education technology discourse through a critical pedagogy lens, advocating for culturally responsive, hands-on learning. Blikstein’s research bridges theory and practice, addressing systemic challenges in science education through participatory design with teachers and communities. His labs create sustainable educational technologies, such as DIY liquid handling robots and haptic feedback systems, to democratize STEM access. He also investigates computational identity formation in K-12 students and the role of making in fostering gender equity in STEM.

Kathy FontaineView profile

Senior Lecturer

• Data Policy
• Ethics in Data Science
• International Data Sharing
• +3 more

Kathy Fontaine serves as Senior Lecturer in Information Technology and Web Science at Rensselaer Polytechnic Institute and Program Manager for the RPI-IBM AI Research Collaboration. She joined RPI in 2014 after 25 years at NASA Goddard Space Flight Center where she developed international data access policies through CEOS WGISS, GEO, and USGEO. Her educational background includes: B.S. in Physics with Astrophysics Option from New Mexico Institute of Mining and Technology (1984) M.A. in Science, Technology and Public Policy from The George Washington University (2002) Ph.D. in Public Policy and Public Administration from Walden University (2013) Dr. Fontaine's research integrates data science policy with ethical frameworks, focusing on international data sharing cultures and volunteer organization dynamics. She develops courses like Big Data Policy and Ethical Informatics that address data scientists' societal responsibilities. Her work examines how policy implementations affect global earth observation systems and research data ecosystems, with particular attention to cross-cultural collaboration challenges in scientific consortia. Analysis of her publications reveals strong interdisciplinary connections between earth sciences and computer science, with emerging trends in data dexterity training, knowledge graph applications for social equity, and mineral inventory data legacies. Her research increasingly bridges technical data infrastructure with ethical considerations in data sharing. Dr. Fontaine actively contributes to scientific communities through the Earth Science Information Partners (ESIP), where she serves on GEO's Programme Board, and maintains affiliations with AGU, ACM Web Science, IEEE GRSS, and IEEE SSIT. Her current leadership in the RPI-IBM AI Research Collaboration extends her mission to develop responsible AI frameworks.

Philippos MordohaiView profile

Professor

• Computer Vision
• 3D Reconstruction
• Robotic Perception
• +2 more

Philippos Mordohai is Professor in the Department of Computer Science at Stevens Institute of Technology's Charles V. Schaefer, Jr. School of Engineering and Science. He earned his PhD in Electrical Engineering from the University of Southern California and conducts research in geometric computer vision, 3D reconstruction, and robotic perception. His research combines machine learning and parallel programming to develop novel approaches for depth estimation, scene understanding, and autonomous navigation. Current projects include real-time dense mapping for underwater environments and domain generalization for stereo matching algorithms. Dr. Mordohai serves as associate editor for IEEE Transactions on Pattern Analysis and Machine Intelligence and has chaired multiple international computer vision conferences. His research has been supported by NSF, DOE, and Google, with applications in robotics, mixed reality, and autonomous systems.

• Health Systems Research
• Health Services Research
• Health Economics
• +4 more

Prof. Alexander Geissler holds the position of Full Professor of Health Care Management at the School of Medicine (Med-HSG) within the University of St. Gallen. His research focuses on health systems research, health economics, and health policy, with particular emphasis on digital transformation in healthcare and patient-reported outcomes. He has contributed extensively to studies on healthcare quality improvement, public reporting systems, and the integration of artificial intelligence in medical diagnostics and screening programs. His work spans topics like optimizing hospital digital maturity (e.g., German DigitalRadar project), analyzing surgical outcomes (robotic vs. open prostatectomies), and evaluating patient empowerment through quality information. He has pioneered methodologies for interpreting patient-reported outcomes (e.g., EQ-5D-3L) and designing clinical dashboards to enhance care delivery. Recent research highlights include investigating AI applications in breast cancer screening and cost-effectiveness of remote patient monitoring post-joint replacement surgery. Geissler’s publications demonstrate a strong focus on healthcare policy implications, such as hospital capacity planning, payment systems for specialized care, and cross-country comparisons of healthcare transparency initiatives. His work frequently bridges academic rigor with practical policy recommendations, particularly in Switzerland and Germany. Notably, he has addressed low-value care reduction, price sensitivity in healthcare demand, and the socio-demographic factors influencing healthcare utilization. While no specific awards are listed, his prolific research output reflects sustained leadership in health systems analysis. His academic contributions are disseminated through the Alexandria Research Platform and international peer-reviewed journals.

• Computer Graphics
• Computer Vision
• Multimedia Communications
• +7 more

Anup Basu is a Professor in the Department of Computing Science at the University of Alberta. His research focuses on computer graphics, computer vision, and multimedia communications. He holds an B.S. in Math & Statistics from the Indian Statistical Institute (1980), an M.E. in Computer Science from the Indian Statistical Institute (1983), and a Ph.D. in Computing Science from the University of Maryland (1990). His work emphasizes Quality of Service (QoS) in multimedia delivery for e-commerce and telelearning, adaptive bandwidth monitoring, and 3D visualization tools. He pioneered foveated image compression and stereo visualization techniques, contributing to MPEG-4 coding standards. He leads major initiatives like the ASRA/TelePhotogenics/IBM 3D Medical Imaging project ($2M+ funding) and developed patented SHR Stereo/3D scanning technologies. Awards include the American Neurological Association Fellowship. He has held leadership roles as General Chair for IEEE International Conferences on SMC (2017), Multimedia & Expo (2013), and SMC (2014). His research integrates interdisciplinary collaborations across universities and industry partners, leveraging advanced equipment like the CAVE system for immersive visualization.

Tim ColoniusView profile

Professor

• Fluid Dynamics
• Cavitation and Bubble Dynamics
• Aerodynamic Sound
• +5 more

Tim Colonius is the Frank and Ora Lee Marble Professor of Mechanical Engineering and Medical Engineering and holds the Cecil and Sally Drinkward Leadership Chair at the California Institute of Technology. He has been affiliated with Caltech since 1994 and currently serves as Executive Officer for Mechanical and Civil Engineering . Colonius earned his B.S. from the University of Michigan (Ann Arbor), and both his M.S. and Ph.D. from Stanford University. Research Interests: His work focuses on fluid dynamics (global instabilities, cavitation, aerodynamic sound), flow control (closed-loop control, reduced-order modeling), and biomedical applications (shock waves, lithotripsy, ultrasound). He also develops advanced numerical methods for interface capturing, immersed-boundary techniques, and high-order accuracy. Scientific Contributions: Recent publications highlight his research in multiphase flows, vortex ring collisions, turbulent jet analysis, GPU-accelerated simulations, and biomedical applications. His group uses computational and data-driven approaches to study turbulence, instabilities, and flow optimization. Scientific Awards: AIAA Aeroacoustics Award Fellow of the Acoustical Society of America Fellow of the American Physical Society (APS) NSF and DoD research grants

Kathryn NaveView profile

Research Fellow

• Philosophy of Mind
• Cognitive Science
• Philosophy of Biology
• +3 more

Kathryn Nave is a Leverhulme Trust Early Career Research Fellow at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. Her research critiques the 'machine concept' of organisms and develops a realist account of autonomy through metabolic processes. She holds a PhD in Philosophy (2022) and MSc in Mind, Language, and Embodied Cognition (2016) from the University of Edinburgh, alongside a BA in Philosophy from King's College London (2013). Her work bridges philosophy of mind, cognitive science, and biology, focusing on predictive processing's limitations in explaining life. Key contributions include critiques of the Free Energy Principle and explorations of embodied cognition. Recent publications analyze survival mechanisms in living systems and the role of prediction in conscious experience. Awards include the Leverhulme Fellowship, Analysis Trust grant, and ERC PhD studentship. She collaborates with the Association for Mathematical Consciousness Science and explores interdisciplinary intersections between philosophy and life sciences.

Gillian HayesView profile

Professor

• Human-Computer Interaction
• Ubiquitous Computing
• Assistive Technologies
• +4 more

Gillian Hayes is the Vice Provost for Academic Personnel and a Chancellor’s Professor at the University of California, Irvine (UCI). She holds joint appointments in the Department of Informatics (Donald Bren School of Information and Computer Sciences), School of Education, and School of Medicine. Her research focuses on human-computer interaction, assistive technologies, and digital health interventions for children with ADHD and autism. She leads the STAR Group, which designs technologies to address real-world challenges in healthcare and education. Education: PhD in Computing from Georgia Tech, and degrees from Vanderbilt University. Professional roles include Vice Provost for Graduate Education, Dean of the Graduate Division, and faculty director of multiple programs, including the Master of Human Computer Interaction and Design. Research interests include child development, health informatics, and ethical technology deployment. Notable projects include the CERES initiative and work on smartwatch interventions for ADHD. Over 100 peer-reviewed publications and 6 books/chapters highlight her contributions. Scientific awards include NSF CAREER Award, ACM SIGCHI Academy, and recognition for teaching and innovation in accessibility. Advises graduate students in informatics, computer science, and education. Active in leadership roles at UCI and the Computing Research Association (CRA Board member). Labs/Teams: STAR Group, Intel Science and Technology Center (ISTC) collaborator, and co-founder of AVIAA and Tiwahe Technology. Focuses on interdisciplinary research with global collaborators.

Maithilee KundaView profile

Associate Professor

• Artificial Intelligence
• Computational Cognitive Systems
• Visual Reasoning
• +3 more

Maithilee Kunda is an Associate Professor in the Department of Computer Science and Computer Engineering at Vanderbilt University's School of Engineering. She leads the Laboratory for Artificial Intelligence and Visual Analogical Systems and co-leads the Vanderbilt Initiative for Autism, Innovation, and the Workforce. Her research focuses on AI-driven cognitive systems, particularly visual reasoning and technology applications for neurodiverse populations, including autism spectrum disorder. Dr. Kunda holds a B.S. in Mathematics with Computer Science from MIT (2007) and a Ph.D. in Computer Science from Georgia Tech (2013). She was honored as an MIT Technology Review Innovator Under 35 in 2016 for her groundbreaking work. Her research bridges computational models of visual thinking and real-world impact, emphasizing neurodiverse cognition. Notable projects include developing AI systems for autism-related social skills interventions, designing visual analogy problem-solving frameworks, and advancing nonverbal communication understanding in AI. Her work addresses challenges in abstract reasoning tasks (e.g., Raven's Matrices), visual imagery-based learning, and ethical AI integration. She advocates for inclusive technology design, leveraging both generative AI and cognitive principles to create human-centered solutions. Key awards: MIT Technology Review Innovator Under 35 (2016) Her labs focus on practical AI applications for education, healthcare, and workforce development, emphasizing interdisciplinary collaboration between engineering, psychology, and neuroscience.

Sarah AnnunziatoView profile

Associate Professor

• Italian Children’s Literature
• Media Studies
• History of Childhood in Italy
• +4 more

Sarah Annunziato is an Associate Professor of Italian and Director of both the Undergraduate Program in Italian and the Italian Language Program (1000-2000 level courses) at the University of Virginia. She holds a Ph.D. from Johns Hopkins University and a B.A. from Smith College. Her research focuses on children’s literature, media, and trauma representation, with a particular emphasis on Italian and U.S. texts. She also investigates language pedagogy, including game-based learning and the role of streaming media in language acquisition. Her teaching spans graduate courses like Dante’s Inferno on Film and undergraduate courses such as Elementary Italian and Small Screen Italy . She has advised MA theses on topics ranging from Italian literature to comparative cinema. Annunziato has received multiple grants, including funding for a tutoring clinic and curriculum development for healthcare-focused Italian courses. Her publications include Clic! L’italiano col telecomando (2024) and articles on topics like colonialism in Emilio Salgari’s works and Dante’s influence on American TV. She actively serves as an editor for La Vendemmia and contributes to initiatives like the Moons and Bonfires archive of Italian-American history.

Anna PeronaView profile

Research Fellow

• Plasma Physics
• Magnetic Reconnection
• Fusion Energy
• +4 more

Anna Perona is a Research Fellow at the University of Warwick's Department of Physics, affiliated with the Physics Centre for Fusion, Space and Astrophysics. Her research focuses on plasma physics phenomena, including magnetic reconnection and energetic particle behavior in fusion and space plasmas. She has conducted postdoctoral work at leading institutions like JET (Culham) and CEA (Cadarache), investigating fast ion dynamics and plasma stability. Her current work emphasizes electron acceleration during magnetic reconnection events, supported by a custom numerical tool analyzing 3D magnetic field effects on electron trajectories. Collaborations include projects with Julia Branke on visualizing plasma dynamics. No awards are explicitly stated, but her work contributes to advancing fusion energy and space plasma understanding. Education & Experience: Postdoctoral Research Fellow at University of Warwick Research stages at JET (Tokamak disruptions) and CEA (fusion physics) Research Interests: Numerical modeling of energetic electrons and ions in magnetized plasmas Magnetic reconnection dynamics and its impact on particle acceleration Development of 3D plasma simulation tools Advising & Grants: No formal advisees listed Collaborations with institutions like JET and CEA Labs & Teams: Part of the Physics Centre for Fusion, Space and Astrophysics at Warwick Contributions to the HAGIS code for energetic ion studies

Wouter RoosView profile

Professor

• Biophysics
• Biochemistry & Molecular Biology
• Nanoscience & Nanotechnology
• +5 more

Prof. Wouter Roos is a Professor at the University of Groningen's Faculty of Science and Engineering, affiliated with the Molecular Biophysics department at the Zernike Institute for Advanced Materials. His research focuses on viral dynamics, membrane assemblies, and protein mechanics, utilizing advanced techniques like High Speed Atomic Force Microscopy (HS-AFM) and optical tweezers. Education: Studied Physics at the Universiteit van Amsterdam, earned a PhD from the Universität Heidelberg under Joachim Spatz. Conducted postdoctoral research at Max-Planck-Institut, Institut Curie, and Vrije Universiteit before joining Groningen in 2015. Research Interests: Physical Virology (viral material properties and dynamics), membrane biophysics (synthetic cells and lipid interactions), and molecular motor systems. His work bridges physics, chemistry, and biology to understand nanoscale biological processes. Recent Article Trends: Studies on hybrid membranes for synthetic cells, leukemic cell mechanics, and antibiotic-membrane interactions highlight his interdisciplinary approach. Key techniques include HS-AFM and single-particle tracking. Awards: Received a VIDI grant and multiple national/international grants. His lab leads the oLife Co-Fund consortium and participates in the MOSBRI research infrastructure. Grants & Leadership: Coordinates the oLife Fellowship Programme and chairs the Molecular Biophysics Lab. Active in steering committees for EU-funded initiatives. Labs/Teams: Heads the Molecular Biophysics Lab, focusing on viral dynamics and membrane systems. Collaborates globally on projects like ESCRT-III polymerization and antibiotic mechanisms.