Find Academic Supervisors

• Intellectual Property Law
• Patent Law
• Innovation Policy
• +6 more

Lisa Larrimore Ouellette is the Deane F. Johnson Professor of Law at Stanford Law School, where she has established herself as a leading scholar in intellectual property law and innovation policy. Her work spans patent law, trademark law, pharmaceutical policy, and the intersection of artificial intelligence with legal frameworks. Professor Ouellette's research focuses on the intersection of law, economics, and innovation. Her scholarship examines how intellectual property systems influence technological development, with particular attention to pharmaceutical innovation, biomedical research, and emerging technologies. She has made significant contributions to understanding patent systems, trademark law, and the policy frameworks governing innovation. Her work often employs empirical methods to analyze real-world impacts of legal rules on innovation incentives and outcomes. Analysis of her recent publications reveals a strong focus on contemporary challenges in intellectual property law, including the impact of artificial intelligence on patent systems, equity in patent inventorship, pharmaceutical pricing mechanisms, and innovation policy responses to public health emergencies like the COVID-19 pandemic. Her work demonstrates a consistent pattern of addressing timely policy questions with rigorous empirical analysis and thoughtful legal reasoning. Professor Ouellette has collaborated extensively with leading scholars in law and economics, including Daniel J. Hemel, Jonathan Masur, Mark Lemley, and others. Her research has been supported by prestigious institutions including the National Bureau of Economic Research (NBER), and she has contributed to numerous policy discussions through amicus briefs and responses to government requests for comments. While specific advising relationships aren't detailed in the available information, her extensive publication record with co-authors suggests active mentorship of junior scholars and students.

Yew San HorView profile

Associate Professor

• Experimental Condensed Matter Physics
• Quantum Materials
• Topological Insulators
• +3 more

Yew San Hor is an Associate Professor in the Department of Physics at Missouri University of Science and Technology and a Senior Investigator at the Materials Research Center. His research focuses on experimental condensed matter physics, particularly the synthesis and study of quantum materials with potential technological applications. Ph.D. in Physics, Rutgers University (2004) M.Sc. in Physics, Utah State University (1998) Dr. Hor's work centers on crystal growth and characterization of novel materials such as three-dimensional topological insulators, topological superconductors, correlated electron systems, and nanostructured thermoelectric materials. His research bridges fundamental scientific understanding and applied technological innovation. Career Award, National Science Foundation (2012) Missouri S&T Faculty Research Award (2014) Highly Cited Researcher (Clarivate Web of Science, 2014-2020) Top 2% Researcher in Physics (Stanford Database, 2021-2022) As a Senior Investigator at the Materials Research Center, he leads interdisciplinary efforts in quantum materials development. His scientific productivity and impact are evidenced by sustained citations and recognition in physics research communities.

Vassilis ChristophidesView profile

Professor

• Databases
• Web Information Systems
• Big Data Processing
• +9 more

Vassilis Christophides is a Professor of Computer Science at the University of Crete and holds an advanced research position at Inria Paris, where he leads work in the MiMove team. His research spans databases, web information systems, big data processing, and IoT analytics, with a strong emphasis on entity resolution, data integration, and scalable data mining. He has supervised numerous research projects funded by the European Union and the Greek State, and has published over 130 articles in top-tier conferences and journals. Research Interests: His primary research areas include Databases, Web Information Systems, Big Data Processing and Analytics, and Information Systems for the Internet of Things. He also focuses on entity resolution, knowledge graphs, streaming data, and explainable AI, particularly in the context of anomaly detection and fairness-aware data systems. His recent work explores hybrid attention models for entity alignment and causal analysis in time series classification. Recent Research Trends: Analysis of his recent publications (2021–2025) reveals a strong focus on entity resolution with fairness constraints, explainable anomaly detection, and adaptive scheduling in IoT edge analytics. He also investigates deepfake detection, crop type mapping using satellite data, and structural bias in knowledge graphs, demonstrating a broad and impactful research portfolio at the intersection of data management and machine learning. Scientific Awards: 2004 SIGMOD Test of Time Award Best Paper Award, ISWC 2003 Best Paper Award, ISWC 2007 Advising and Grants: While specific student names are not listed in the provided texts, Christophides has co-authored numerous papers with researchers such as Vasilis Efthymiou, Ioannis Tsamardinos, and Nikolaos Myrtakis, suggesting active mentorship. He has been the scientific coordinator of multiple EU and national research projects, indicating substantial grant leadership and project management experience. Labs and Teams: He is affiliated with the MiMove team at Inria Paris, a research group focused on mobility and data-intensive systems. His work bridges academic and applied research, leveraging Inria’s infrastructure for large-scale data experimentation and innovation in IoT and edge computing environments.

Jacob R. HallView profile

Assistant Professor

• Political Economy
• Law & Economics
• Economic History
• +7 more

Jacob R. Hall is an Assistant Professor in the Salmon P. Chase Center for Civics, Culture, and Society at The Ohio State University. His research lies at the intersection of Political Economy, Law & Economics, and Economic History, with a particular focus on long-term economic growth and institutional development. He employs spatial and network data extensively in his empirical work, drawing on both European and American historical contexts. His research interests center on understanding the deep historical roots of economic and political institutions. He investigates questions related to the emergence of the state, the evolution of legal systems, the impact of social orders on violence, and the economic consequences of major historical transformations such as the Neolithic Revolution, the Commercial Revolution, and the Industrial Revolution. His methodological toolkit includes quantitative analysis of historical datasets, particularly those involving geography and social networks. While no specific publications are listed, his research trajectory is evident from his teaching materials and the datasets he references, which include resources like the English Medieval Crop Yields Database, the Gazetteer of English Markets and Fairs, and the Domesday Book. His work bridges economics, history, and data science, aiming to provide rigorous empirical answers to fundamental questions in social science. Hall has developed comprehensive lecture notes for undergraduate courses, including Global Economic History , which covers topics from the Malthusian economy to the 20th century, and The Economics of the Law , which applies economic principles to property, contracts, torts, and legal systems. He has also given talks on the Great Depression and the relationship between institutions and economic growth. His academic background includes a PhD in Economics from George Mason University (2023) and a postdoctoral fellowship at the University of Pennsylvania and the Penn Initiative for the Study of Markets. He maintains an active online presence through a personal website and GitHub, where he shares teaching materials and code, indicating a commitment to open scholarship and educational resource development. He is affiliated with professional organizations and resources in economic history, such as the Economic History Association and the Economic History Society, and engages with tools for GIS, network analysis (e.g., igraph), and web scraping. Although no formal advising relationships, grants, or scientific awards are mentioned in the provided text, his position and research program suggest active involvement in the academic community.

• Phytoremediation
• Contaminated Site Management
• Plant Ecology in Hostile Environments
• +5 more

Béatrice Gervais-Bergeron is an Associate Professor at the École d'urbanisme et d'architecture de paysage (Faculty of Urban Planning) at Université de Montréal since December 2024. She holds a PhD in Biological Sciences (2024) and a B.Sc. in Environmental Biology (2019) from McGill University. Her research focuses on phytotechnologies, plant ecology in contaminated environments, and functional trait-based solutions for urban resilience. Affiliations: Member of the Institut de recherche en biologie végétale (IRBV) Teaching: APA1130 Ecology and Sustainable Development; APA2130 Plant Ecology Theory and Practice Programs: Architectural, Landscape Architecture, and Sustainable Development programs Her work combines fundamental plant ecology with applied ecological design, particularly in industrial brownfields and ultramafic soils of southern Québec. Current research investigates plant community adaptations in metal-rich soils to improve contaminated site remediation strategies. Key Projects: Phytoremediation techniques for Ministère des Transports soils (2026-2030); Boisé Steinberg urban phytotechnology applications Awards: 2024 Marcelle-Gauvreau Scholarship; 2023 SQP Research Grant Supervision: Currently guiding 4 students across thesis, internships, and directed studies focusing on functional traits, spectral correlations, and urban ecosystem resilience. Labs/Teams: Active member of IRBV, collaborating internationally on hyperaccumulator plant research.

Mateo Valero CortésView profile

Professor

• Computer Architecture
• High-Performance Computing
• Parallel Computing
• +3 more

Mateo Valero Cortés is a renowned Professor of Computer Architecture at the Polytechnic University of Catalonia and Director of the Barcelona Supercomputing Center (BSC). He has held academic and leadership roles since 1974, advancing high-performance computing (HPC) and computer architecture research. His work includes pioneering contributions to vector architectures, multithreading, and instruction-level parallelism. Education includes a Telecommunications Engineering degree from the Polytechnic University of Madrid (1974) and a PhD in Telecommunications Engineering from the Polytechnic University of Catalonia (1980). His research spans over 700 publications, focusing on HPC systems, parallel computing, and supercomputing infrastructure. Key research interests include vector processing, super-scalar processors, and task-based programming models. Recent work emphasizes scalable architectures for exascale computing and energy-efficient hardware-software co-design. Notable achievements include the Eckert-Mauchly Prize (highest in computer architecture), Seymour Cray Award, and Charles Babbage Prize. He has led initiatives like the Spanish Supercomputing Network (RES) and PRACE (European HPC partnership). Academic affiliations include the Royal Academy of Engineering of Spain, ACM Fellow, and IEEE Fellow. He has received 13 honorary doctorates and awards such as Mexico’s Order of the Aztec Eagle. Current projects include the Mont-Blanc HPC prototype and ERC-funded research on multi-core chip design. His BSC oversees over 300 researchers and manages MareNostrum supercomputers.

Jianwen SuView profile

Professor

• Database Systems
• Formal Verification
• Web Services
• +5 more

Jianwen Su is a Professor in the Department of Computer Science at the University of California, Santa Barbara (UCSB), where he has been since 1990. He holds a Ph.D. in Computer Science from the University of Southern California and B.S./M.S. degrees from Fudan University in China. His research focuses on databases, formal verification, web services, business process management (BPM), and workflow systems. He has contributed to data-centric workflow modeling, artifact-based BPM frameworks, and tools like the Web Service Analysis Tool (WSAT). Adjunct professorships at Peking, Fudan, and Donghua Universities in China. Key roles: General co-chair of ICSOC 2013, PC chair of PODS 2009, and general chair of SIGMOD 2001. Recipient of the 2000 Outstanding Faculty Award (UCSB College of Engineering) and IBM Faculty Awards (2007, 2008). Research spans database query languages, incremental query evaluation, spatial databases, and formal verification techniques for software systems. Current emphasis is on data modeling for workflows and BPM systems.

Wendy MeiringView profile

Professor

• Statistical Methods for Brain Imaging
• Spatial and Temporal Processes
• Computational Statistics
• +4 more

Wendy Meiring is a Professor in the Department of Statistics and Applied Probability at the University of California, Santa Barbara. Her research focuses on statistical methods for analyzing complex data in neuroscience, environmental science, and biomedical applications. She specializes in spatial and temporal processes, computational statistics, machine learning, and uncertainty quantification. Her work integrates advanced statistical techniques with real-world challenges, such as analyzing brain imaging data, pharmacokinetic models, and environmental monitoring. She has contributed to methodologies for functional data analysis, clustering-based correlation estimation, and spatial-temporal modeling. Dr. Meiring has published extensively in top journals, including The Journal of Computational and Graphical Statistics , focusing on topics likeFréchet regression, pharmacokinetic modeling, and environmental phenology. Her research bridges theoretical statistics with practical applications in health, neuroscience, and ecology. She collaborates across disciplines, contributing to programs like the Interdepartmental Graduate Program in Dynamical Neuroscience at UCSB. Her lab develops innovative statistical tools for analyzing high-resolution datasets, emphasizing reproducibility and methodological rigor.

• Database Systems
• Data Management
• Scientific Data Processing
• +5 more

Dr. Martin L. Kersten is a leading figure in database systems research at the Centrum Wiskunde & Informatica (CWI) in Amsterdam, Netherlands. With over three decades of contributions, his work focuses on column-oriented database architectures, scientific data management, and query optimization. Key Research Areas: Database systems, big data processing, query performance analysis, data-intensive scientific applications Projects: MonetDB, SciQL, TELEIOS, ExaNeSt His recent publications emphasize in-database machine learning , query log mining , and exascale computing . He pioneered database cracking and intermediate recycling techniques to enhance query processing efficiency. 2014 SIGMOD Edgar F. Codd Innovations Award for groundbreaking contributions to database technology Collaborations span institutions like ICDE , VLD , and EuroSys workshops. His work bridges theoretical advancements with practical implementations for scientific and industrial applications.

João MagalhãesView profile

Professor

• Vision and Language Understanding
• Multimodal Information Understanding
• Multimodal Conversational AI
• +5 more

João Magalhães is a Full Professor in the Department of Computer Science at the Faculty of Science and Technology, Universidade NOVA de Lisboa, Portugal. He serves as Group Coordinator of the Multimodal Systems Group at the NOVA Laboratory for Informatics and Computer Science and leads the NOVASearch research group at FCT/UNL. His research focuses on vision and language information understanding, with particular emphasis on multimodal information understanding, multimodal conversational AI, multimedia search and summarization, temporal and memory models, and social media information quality. His work spans both theoretical foundations and practical applications across web, social media, and clinical domains. Analysis of his recent publications reveals a strong trajectory in multimodal conversational AI systems, with increasing sophistication in handling both voice and visual inputs. His research has evolved from foundational work in cross-modal embeddings to advanced large language models for dual-goal conversational settings, demonstrating consistent innovation in the field of multimodal understanding. 1st prize winner of the second Alexa TaskBot Challenge (2023) Award-winning solution in the Alexa TaskBot Challenge (2022) Best paper award at the Portuguese NLP conference (PROPOR) (2020) Best paper nominations at ACM conferences (2018) Professor Magalhães has advised numerous graduate students through the NOVASearch group and has secured substantial research funding through projects including Amazon Alexa TaskBot Challenge (2021-2023), iFetch (2020-2023), SmartyFlow (2017-2020), COGNITUS (2016-2019), GoLocal (2016-2020), QSearch (2012-2015), ImTV (2010-2013), and CS4SE (2010-2013). He actively serves the research community as ACM Multimedia 2026 Program Committee Chair and has held leadership roles in numerous conferences including ACM Multimedia 2022 General Chair and ECIR2020 General Chair. He leads the Multimodal Systems Group within the NOVA Laboratory for Informatics and Computer Science, where his team develops cutting-edge solutions for multimodal understanding with applications in conversational AI, multimedia search, and social media analysis.

Randy HarrisView profile

Professor

• Rhetoric
• Computational Rhetoric
• Cognitive Linguistics
• +8 more

Randy Harris is a Professor in the Department of English Language and Literature at the University of Waterloo, with a cross-appointment to the David Cheriton School of Computer Science. His career spans over three decades, focusing on the intersection of rhetoric , cognitive science , and computational linguistics . He holds a PhD in Communication and Rhetoric from Rensselaer Polytechnic Institute, with postdoctoral experience at the University of Alberta. Education : PhD (Rensselaer), MSc (Rensselaer, Alberta), MA (Dalhousie), BA (Queen's) Research Interests : Cognitive Rhetoric, Computational Rhetoric, Rhetorical Figures, Construction Grammar, Rhetoric of Science, and Neurocognitive Stylistics. His work explores how rhetorical figures like chiasmus and antimetabole reflect brain structure and cognitive processing. Recent projects involve building the Rhetoricon , a collocational database of rhetorical figures, and investigating their role in large language models . He has received numerous awards, including the University of Waterloo Arts Award for Excellence in Research (2023) and Fellow of the Royal Society of Canada (2022) . Harris has supervised graduate students in professional communication , linguistics , and science writing . His grants include NSERC Discovery Horizon (2024-2029) and multiple SSHRC grants for Computational Rhetoric and Rhetorical Figure Ontology . He actively organizes interdisciplinary workshops like Computing Figures and contributes to media discussions on language, AI, and rhetoric.

Anjala S. KrishenView profile

Professor

• Marketing
• Advertising
• Consumer Decision-Making
• +7 more

Anjala S. Krishen is a Professor and Chair of Marketing & International Business at the Lee Business School, University of Nevada, Las Vegas (UNLV). She serves as Interim Dean of the Lee Business School and was appointed as Associate Dean of Executive Education and Corporate Engagement in 2025. Her research bridges marketing, consumer behavior, and analytics, with a focus on decision-making in complex environments, e-marketing, and social networking. B.A., Anthropology, Rice University B.S., Electrical Engineering, Rice University M.B.A., Virginia Polytechnic Institute M.S., Marketing, Virginia Polytechnic Institute Ph.D., Marketing, Virginia Polytechnic Institute Her research explores heuristics in consumer decision-making, AI and data-driven marketing, sustainability, and the impact of social media on behavior. She has pioneered theories on oppositional frameworks in decision-making and the role of contrast in simplifying choices. Recent publications highlight trends in marketing analytics, AI-human collaboration, sustainable practices, and social media’s influence on consumption. These works span disciplines such as computer science, environmental studies, and psychology. Notable awards include: UNLV Foundation’s Distinguished Teaching Award (2015) Barrick Scholar Award (2016) Faculty Opportunity Awards (2014, 2016) Krishen teaches marketing research, consumer behavior, and internet marketing at both undergraduate and graduate levels. She has also delivered a TEDx talk on oppositional thinking in decision-making and is a marathoner with a Taekwondo black belt.

• Computational Materials Science
• 2D Materials
• High-Entropy Ceramics
• +5 more

Dr. Rico Friedrich is a computational materials scientist leading the "Autonomous Materials Thermodynamics - AutoMaT" research group, jointly operated by the Chair of Theoretical Chemistry at Technische Universität Dresden and the Helmholtz-Zentrum Dresden-Rossendorf (HZDR). His work focuses on data-driven computational design of advanced materials for information technology and energy applications through the DRESDEN-concept research alliance. His research spans several cutting-edge areas: Discovery and design of 2D non-van der Waals materials with novel electronic and magnetic properties Data-driven modeling of high-entropy ceramics based on entropy maximization principles Development of computational methods for accurate thermodynamic stability prediction, particularly the coordination corrected enthalpies (CCE) method Applications of artificial intelligence in materials design Dr. Friedrich's publication record shows a strong trend toward computational materials discovery, with significant contributions to understanding non-van der Waals 2D materials and high-entropy ceramics. His work bridges theoretical developments with practical applications, resulting in publications in high-impact journals including Nature, Nano Letters, and Advanced Electronic Materials. His key scientific contributions include: Development of the coordination corrected enthalpies (CCE) method for accurate formation enthalpy calculations Creation of the AFLOW-CCE module implemented in the AFLOW software ecosystem Discovery of novel 2D non-van der Waals materials with ultra-low exfoliation energies Formulation of the disordered enthalpy-entropy descriptor (DEED) for high-entropy ceramics Dr. Friedrich actively mentors the next generation of materials scientists, currently supervising PhD students and postdoctoral researchers in his AutoMaT lab. His research group collaborates extensively within the DRESDEN-concept research alliance, leveraging computational resources and expertise across multiple institutions to advance materials science and engineering.

Henry Corrigan-GibbsView profile

Assistant Professor

• Computer Security
• Cryptography
• Computer Systems
• +5 more

Henry Corrigan-Gibbs is an Assistant Professor at the Massachusetts Institute of Technology (MIT) in the Department of Electrical Engineering and Computer Science. He is affiliated with the Computer Science and Artificial Intelligence Laboratory (CSAIL) and collaborates with the PDOS and CSS research groups. Henry co-hosts the MIT Security Seminar series. Education : PhD in Computer Science from Stanford University (advisor: Dan Boneh), Postdoc at École polytechnique fédérale de Lausanne (EPFL) (host: Bryan Ford), and B.S. in Computer Science from Yale University . Research Interests Henry focuses on computer security , cryptography , and systems research , building technologies that: Empower end users through privacy-preserving design Implement strong cryptographic security in real-world deployments Scale to millions of users while maintaining security Key projects include: Tiptoe for private web search Prio for privacy-preserving aggregate statistics used by Apple and Google Express for metadata-hiding communication SafetyPin and True2F for secure authentication Scientific Contributions Standards Influence : IETF and NIST standards recommend his private-aggregation systems Industry Impact : Deployed in Apple iOS , Google Android , and Mozilla Firefox Non-profit Deployment : Co-founder of Divvi Up for real-world Prio implementations Academic Recognition 2023 MIT EECS Jerome Saltzer Award for teaching excellence 2020 ACM Doctoral Dissertation Honorable Mention 2016 Caspar Bowden Award for PET research 2015 IEEE Security & Privacy Distinguished Paper Award Multiple IACR Best Young Researcher Paper Awards (2015–2018) Advising and Collaborations Current advisees include: PhD students: Alexandra Henzinger , Ryan Lehmkuhl Postdoc: Emma Dauterman Collaborates with industry (Apple, Google, Mozilla) and standards bodies (IETF, NIST) to translate research into practice.

• Mathematics Education
• Interactive Multimedia in Teaching
• Educational Technology
• +5 more

Marina Milovanović is a Professor at the University of Singidunum, Faculty of Informatics and Computing, Department of Mathematics. She holds dual doctoral degrees from the Faculty of Science, University of Kragujevac (Department of Mathematics, 2014) and Faculty of Entrepreneurial Business, Union University (2008), along with Master's and Bachelor's degrees from the Faculty of Mathematics, University of Belgrade (2000-2005 and 1995-2000 respectively). Faculty of Science, University of Kragujevac, Department of Mathematics (PhD, 2014) Faculty of Entrepreneurial Business, Union University (PhD, 2008) Faculty of Mathematics, University of Belgrade (Master's, 2000-2005) Faculty of Mathematics, University of Belgrade (Bachelor's, 1995-2000) Svetozar Marković High School, science and mathematics major (1991-1995) Professor Milovanović specializes in Mathematics Education and Educational Technology, with particular expertise in interactive multimedia applications for teaching mathematics. Her research consistently bridges theoretical mathematics with practical educational technology solutions, evolving from traditional multimedia approaches to incorporating cutting-edge AI and machine learning techniques. She has authored multiple books including 'Interactive multimedia in mathematics teaching' (2015) and collections of solved mathematics problems for entrance exams. Her recent publication record through 2025 demonstrates active engagement in interdisciplinary research, particularly at the intersection of educational technology, artificial intelligence, and practical applications in fields ranging from software engineering to medical diagnostics. Her work shows a clear trajectory from foundational educational technology research toward more sophisticated AI-enhanced learning systems. Professor Milovanović has made significant contributions to semantic web applications in education, particularly through Moodle LMS enhancements, and has explored SCADA applications in industrial contexts. Her collaborative research spans multiple countries and institutions, reflecting an international scholarly network. She has extensive experience developing computer tools for engineering education and has published on diverse topics including petroleum industry processes, environmental management, and financial mathematics. Her work demonstrates consistent application of computational approaches to solve domain-specific problems across multiple disciplines.