Find Academic Supervisors

Hanno HilbigView profile

Assistant Professor

• Comparative Politics
• Political Economy
• Democratic Institutions
• +4 more

Hanno Hilbig is an Assistant Professor of Political Science at the University of California, Davis. He holds a PhD from Harvard University’s Department of Government (2022) and an MS in Economics from Humboldt University Berlin. His research focuses on the interplay between structural economic changes—such as labor markets, housing crises, and energy transitions—and their political impacts in advanced democracies. He employs causal inference methods for observational data, using designs like natural experiments and large-scale administrative datasets. Key research areas include voter preferences, policymaking processes, and democratic institutions. His work addresses topics such as public housing budget tradeoffs, refugee labor market integration, and the effects of local newspaper decline on polarization. He has published in top journals like the American Journal of Political Science , British Journal of Political Science , and Journal of Politics . His recent articles explore themes such as green party support following natural disasters, the role of wealth disparities in radical right voting, and the consequences of rent control policies. Hilbig co-leads collaborative projects like the German Election Database (GERDA) and investigates refugee integration dynamics. His research bridges quantitative methods with substantive political questions, emphasizing policy relevance and democratic stability.

Dan OlteanuView profile

Professor

• Database Systems
• Database Theory
• Artificial Intelligence
• +7 more

Prof. Dan Olteanu is a full professor at the Department of Informatics, University of Zurich, leading the Data Systems and Theory (DaST) group. He holds visiting professorships at the University of Oxford and is an emeritus fellow of St Cross College. His academic journey includes a PhD from Ludwig Maximilian University (2005), postdoctoral roles at Saarland University and Cornell University, and prior faculty positions at Oxford (2007–2020). He has also worked in industry with companies like LogicBlox and RelationalAI, focusing on database systems and AI. Education: Bachelor’s in Computer Science, Politehnica University of Bucharest (2000) PhD in Computer Science, Ludwig Maximilian University (2005) Professional Roles: Full Professor, University of Zurich (since 2020) Visiting Professor, University of Oxford Emeritus Fellow, St Cross College Editorial Roles: ACM TODS, VLDBJ, SIGMOD Conference Chair: ICDT Council (since 2022) His research focuses on data systems theory, including query optimization, probabilistic databases, factorized databases, and in-database machine learning. He co-authored the seminal book Probabilistic Databases (2011) and has pioneered algorithms for efficient machine learning over relational data and incremental maintenance of analytical workloads. His work emphasizes scalable, theoretically grounded solutions for real-world data challenges. Awards: ICDT 2019 Best Paper Award ACM SIGMOD 2018 Distinguished PC Member Award ERC Consolidator Grant (2016) Oxford Outstanding Teaching Award (2009) Grants & Funding: Supported by Google, Microsoft Azure, Amazon AWS, EPSRC, and the European Commission. His research bridges academia and industry, with contributions to commercial systems like LogicBlox and RelationalAI. Labs & Teams: Heads the DaST group at Zurich, focusing on data systems theory and applications. Collaborates widely in the database and AI communities.

• Chinese Philosophy
• Classical Chinese Literature
• Intellectual History
• +5 more

Associate Professor Daniel Fried holds the Chair position in the Department of East Asian Studies at the University of Alberta's Faculty of Arts. His research focuses on comparative approaches to classical Chinese literature, intellectual history, and Daoist semiotics, with particular attention to Northern Song Dynasty print culture and European literary theory intersections. Current projects include a literary non-fiction work linking Daoist philosophy to social activism. Key academic roles include Co-Editor of the Routledge Studies in Comparative Chinese Literature and Culture series (2020–present), Founding Chair of the MLA Forum on pre-14th century Chinese Literature (2018), and President of the Association of Chinese and Comparative Literature (2017–2019). Teaching responsibilities include advanced readings in modern Chinese literature and graduate research methods courses. Research interests span ancient Chinese textuality, medieval print culture transformations, and cross-cultural philosophical dialogues. Recent publications (2020–2023) emphasize Song Dynasty print modernity and Daoist semiotic frameworks. Earlier works address pre-Qin philosophical discourse and 20th century comparative literature methodologies. No scientific awards explicitly listed. Advising focuses exclusively on graduate students researching Chinese literature/philosophy from Warring States to Southern Song periods. Active in developing interdisciplinary research programs bridging Anglophone and Sinophone scholarship. Led development of East Asia Research Methods (EASIA 550), an online graduate course covering regional and disciplinary methodologies. Current research projects maintain focus on pre-modern Chinese cultural production and its global comparative dimensions.

Tobias NipkowView profile

Professor

• Formal Methods
• Interactive Theorem Proving
• Program Verification
• +9 more

Professor Tobias Nipkow is a leading researcher in formal methods and interactive theorem proving at the Technical University of Munich (TUM), affiliated with the School of Computation, Information and Technology and the Department of Computer Science. He is a core developer of the Isabelle proof assistant and leads the Theorem Proving Group. His work has profoundly influenced program verification, semantics, and formalized mathematics. University: Technical University of Munich School: School of Computation, Information and Technology Department: Department of Computer Science Research Group: Theorem Proving Group Key Projects: Isabelle, Archive of Formal Proofs, Concrete Semantics His research focuses on formal verification, higher-order logic, semantics of programming languages, and verified algorithms. He has pioneered the formalization of textbook algorithms, data structures like B+-trees and quadtrees, and logical systems. His work bridges theoretical foundations with practical tools for software correctness. The most recent publications show a strong trend in verifying classical algorithms (e.g., Gale-Shapley, Earley parser), data structures (B+-trees, deques), and decision procedures, primarily using Isabelle/HOL. His contributions span foundational logic, program analysis, and educational approaches to formal methods. Best Paper Award at CADE 28 (2021) Tobias Nipkow has made extensive contributions to advising and collaborative research, co-authoring with numerous researchers and students. He has secured support for large-scale formalization efforts and contributed to major projects like the Flyspeck proof of the Kepler conjecture. His work is supported by ongoing development of the Isabelle framework and the Archive of Formal Proofs. He leads the Theorem Proving Group at TUM, which is central to the development and application of Isabelle. The group fosters international collaboration, contributes to the Archive of Formal Proofs, and advances research in automated reasoning, semantics, and verified systems.

Giovanna TinettiView profile

Professor

• Extrasolar Planets
• Space Science
• Molecular Spectroscopy
• +3 more

Giovanna Tinetti is a Professor of Astrophysics and Vice Dean (Research) at King's College London's Faculty of Natural, Mathematical & Engineering Sciences. She leads the European Space Agency's Ariel mission, a space telescope surveying exoplanet atmospheres, set to launch in 2029. As co-founder of the London Centre for Space Exochemistry Data and Blue Skies Space Ltd, she pioneers satellite technology for scientific data collection. She holds a PhD in Theoretical Physics from the University of Turin, with prior affiliations at Caltech/JPL, the Institute of Astrophysics in Paris, and University College London (UCL), where she was a Royal Society University Research Fellow. Her research focuses on exoplanetary atmospheres, molecular spectroscopy, and advanced data science techniques. With over 300 publications, her 2019 paper on water vapor in K2-18b's atmosphere achieved the highest altmetric score in Physical Sciences that year. She has delivered over 350 international talks and lectures. Education: PhD in Theoretical Physics (University of Turin) Affiliations: King's College London, UCL (past), ESA's Ariel Mission, Blue Skies Space Ltd Research Interests: Exoplanet atmospheres, molecular spectroscopy, space science, data-driven analysis methodologies, and atmospheric modeling. Her work bridges observational astronomy with computational chemistry to interpret exoplanet compositions and climates. Awards: Royal Society University Research Fellow Highest Altmetric Score (2019 Physical Sciences) Grants & Projects: Principal Investigator for ESA's Ariel mission Co-leader of the Ariel Data Challenge 2025 Labs/Teams: London Centre for Space Exochemistry Data, Blue Skies Space Ltd technical team, and the international Ariel collaboration network.

Jann WeinandView profile

Research Professor

• Energy System Optimization
• Renewable Energy Resource Assessment
• Complexity Management
• +4 more

Dr. Jann Michael Weinand is the head of the Integrated Scenarios department at the Institute of Climate and Energy Systems (ICE-2) within Forschungszentrum Jülich GmbH. He leads a team of 30 scientists, PhD students, and master students focusing on energy system analysis, complexity management, and AI integration. His work addresses regional and international energy systems, emphasizing renewable energy resource assessment and techno-economic feasibility. Dr. Weinand holds a Dr.-Ing. from the Karlsruhe Institute of Technology (2020) and a Mechanical Engineering and Business Administration degree from RWTH Aachen University (2016). His research spans energy autonomy, renewable resource optimization, and the socio-technical challenges of energy transitions. Key research areas include energy system modeling, geothermal and wind energy potential, and data-driven methodologies. He coordinates interdisciplinary projects with academic and industrial partners, contributing to high-impact journals like Nature Energy and Joule. His team develops open-source tools (e.g., ETHOS workflows) for reproducible energy assessments and advocates for spatially disaggregated energy planning. Publications highlight trade-offs in energy system design, AI risks, and land-use conflicts for renewables. He emphasizes integrating social, technical, and environmental factors into energy policy frameworks.

Gretchen HelmkeView profile

Professor

• Democratic Norms
• Judicial Politics
• Rule of Law
• +5 more

Gretchen Helmke is the Thomas H. Jackson Distinguished University Professor in the Department of Political Science at the University of Rochester, serving as Faculty Director of the University of Rochester's Democracy Center. She holds a Ph.D. in Political Science from the University of Chicago (2000) and has held fellowships at the Kellogg Institute for International Studies (Notre Dame), Harvard’s Weatherhead Center, and the Woodrow Wilson International Center for Scholars. Her research focuses on political institutions, judicial politics, democratic norms, and institutional instability in Latin America and the United States. Recent work includes analyzing democratic erosion, selective accountability for corruption in democracies, and the role of informal institutions. Her current book project examines the political dynamics of prosecuting democratically elected leaders for corruption, with a transnational comparative lens. Helmke co-founded Bright Line Watch, a non-partisan initiative tracking threats to U.S. democracy. Her publications span leading journals like the American Political Science Review and the Journal of Politics, with major books including *Institutions on the Edge* (2017) and *Courts in Latin America* (2011). Her work bridges theory and practice, addressing real-world challenges in democratic governance and institutional resilience. Key awards include the 2025 Guggenheim Fellowship. Her research has explored topics such as judicial independence, electoral integrity, and the strategic interactions between political actors and legal frameworks.

Raissa DE GRUTTOLAView profile

Researcher

• Chinese Christianity
• Biblical Translation into Chinese
• Franciscans in China
• +9 more

Raissa DE GRUTTOLA is a fixed-term Researcher in the Department of Asian and North African Studies at Ca' Foscari University of Venice, where she conducts research under the National Recovery and Resilience Plan (PNRR) on cultural resources for sustainable tourism. Her academic focus lies at the intersection of religious studies, Sinology, and cultural history, particularly in the context of Christianity in China. Her research interests include: The translation of the Bible into Chinese The role of Franciscans and Jesuits in China The thought of Simone Weil in relation to China Chinese Catholic communities in Italy The legacy of Marco Polo Religious and cultural mediation between East and West Her recent scholarly output centers on comparative analyses of Chinese biblical versions, such as the Union Version and the Sigao Bible, and explores how religious texts were adapted within Chinese cultural and theological contexts. These works reflect a deep engagement with translation theory, missionary history, and indigenous religious identity formation. She has obtained the National Scientific Qualification for the position of Associate Professor in Cultures of Central and Eastern Asia, affirming her standing in the Italian academic system. Raissa DE GRUTTOLA actively contributes to the academic community through: Service on the scientific committee of the journal La Nottola di Minerva Participation in the international research group China Historical Christian Database at Boston University Peer reviewing for journals including Religions , Antonianum , and Orientis Aura Teaching Chinese language and culture at both undergraduate and graduate levels She has previously held research fellowships at the University of Perugia and taught at the University of Enna "Kore", demonstrating a sustained commitment to higher education and research in Asian studies.

Hannah WunschView profile

Professor

• Critical Care Medicine
• Anesthesiology
• Sepsis
• +6 more

Hannah Wunsch is a Professor of Anesthesiology at Weill Cornell Medical College , Cornell University. She serves as an Attending Anesthesiologist at NewYork-Presbyterian/Weill Cornell Medical Center. M.D. from Washington University School of Medicine (2003) M.Sc. from London School of Hygiene and Tropical Medicine (2002) A.B. from Harvard University (1997) Her research focuses on critical care medicine , with particular emphasis on sepsis outcomes , mechanical ventilation practices , opioid use in postoperative and ICU settings , and health services research utilizing large administrative datasets. Key trends in her recent publications include ICU staffing models , opioid prescription patterns , mechanical ventilation strategies , and long-term outcomes after critical illness . She has published extensively in top-tier journals like Critical Care Medicine , JAMA , and The Lancet .

Zhenghao ChenView profile

Lecturer

• Computer Vision
• Natural Language Processing
• Machine Learning
• +3 more

Dr. Zhenghao Chen is a Lecturer in Data Science at the University of Newcastle, affiliated with the School of Information and Physical Sciences. He earned his Ph.D. from the University of Sydney in 2022, following a B.Eng. H1 degree from the same institution in 2017. Prior to his current position, Dr. Chen served as a Postdoctoral Research Fellow at the University of Sydney (2022-2024), a Research Engineer at TikTok (2024), and as a Visiting Research Scientist at Microsoft Research and Disney Research (2022-2023). Dr. Chen's educational background includes: Doctor of Philosophy, University of Sydney (2022) Bachelor of Information Technology (B.Eng. H1), University of Sydney (2017) Dr. Chen's research spans multiple domains within artificial intelligence, with particular expertise in Computer Vision, Natural Language Processing, and Machine Learning. His work in Generative AI has garnered significant recognition, with applications in both academic and industrial settings. His research interests are reflected in his Fields of Research percentages: Deep Learning (30%), Computer Vision (30%), Natural Language Processing (20%), and Multimodal Analysis and Synthesis (20%). His publications in top-tier venues like CVPR, ICCV, ECCV, and journals like IEEE TPAMI demonstrate the breadth and impact of his work. Analysis of Dr. Chen's recent publications (2022-2025) reveals a consistent focus on neural compression techniques, 3D perception, and multimodal AI systems. His work spans medical imaging (CXR bone suppression), video compression, point cloud processing, and neural surface reconstruction. A notable trend is his exploration of efficient AI systems that work well under resource constraints, as evidenced by his involvement in the EMCLR workshop. His research often bridges theoretical advances with practical applications across multiple domains. Dr. Chen has received several prestigious awards: Microsoft Research Asia StarTrack Fellowship (2025) ACM SIGMM Award for Outstanding PhD Thesis in Multimedia Computing (2024) Australia Government Research Training Program (RTP) Fellowship (2019) Google Australia Prize for Excellence in Computer Science (2017) Dr. Chen is actively involved in the academic community, serving on the Program Committee for major AI conferences including CVPR, ICCV, ECCV, SIGGRAPH, AAAI, and others. He also organizes workshops in Multimedia and ICCV conferences, and serves as a reviewer for prestigious journals. His teaching responsibilities include courses on Intelligent Visual Signal Understanding, Video Intelligence and Compression, Database and Information Management, and Computing Fundamentals at both the University of Sydney and University of Newcastle.

• Building Information Modeling (BIM)
• Geographic Information Systems (GIS)
• Digital Twin Technology
• +3 more

Prof. Bernd Domer is an Associate Professor at the Geneva School of Landscape, Engineering and Architecture (HES-SO) specializing in Building Information Modeling (BIM) , Geographic Information Systems (GIS) , and digital transformation of civil engineering . He leads multiple ongoing research projects including CU_OFROU_PAB (CHF278,844) focused on BIM-GIS workflows for noise barriers, and SousEtoile (CHF50,000) developing subsurface prediction models for urban planning. His work addresses critical challenges in software interoperability and point cloud processing for infrastructure digital twins. BA HES-SO in Architecture (HEPIA) BSc Civil Engineering (EPFL) BSc HES-SO in Civil Engineering (HEPIA) MSc HES-SO in Engineering (HES-SO Master) His research explores digital workflows for infrastructure projects, with over 15 recent publications examining topics like: Semantic segmentation of point clouds (2024) IFC standard optimization (2023) Underground confidence level modeling (2021) Swiss BIM implementation frameworks (2020) Construction waste management platforms (2018) He serves as Head of the MIC Group and co-directs the CAS in BIM Coordination . Active in international committees like EG-ICE and Bauen digital Schweiz , his work bridges academic research with practical implementation through collaborations with HEPIA , HEIG-VD , and institutions like the Swiss Federal Roads Office (OFROU) .

Farah KamwView profile

Assistant Professor

• Information Visualization
• Visual Analytics
• Spatial-Temporal Data Analysis
• +4 more

Farah Kamw is an Assistant Professor in the Department of Computer Science at Wayne State University. With a PhD in Computer Science (2019) from Kent State University, her expertise spans 18 years of software development, academic teaching, and research in information visualization and database management. Education : PhD (Kent State), MSc (University of Zakho), BSc (University of Baghdad) Her research focuses on Information Visualization and Visual Analytics of spatial-temporal data, particularly through 8 publications (2013-2021) addressing urban mobility patterns, trajectory analysis, and geospatial data integration. She has developed several open-source visual analytics tools including TrajAnalytics and SparseTrajAnalytics, applying both document and graph database techniques. Farah teaches core Computer Science courses such as Algorithm Design , Programming Languages , and Database Systems . Her technical skills include Python, C++, Java, SQL, NoSQL databases, and GIS technologies.

Lisa Kalisch EllettView profile

Associate Professor

• Quality Use of Medicines
• Pharmacy Research
• Adverse Drug Reactions
• +7 more

Lisa Kalisch Ellett is an Associate Professor at the University of South Australia, where she works at the Quality Use of Medicines and Pharmacy Research Centre. Her research focuses on improving medication use and health outcomes for Australians, with particular emphasis on studying adverse events associated with medicines. Professor Kalisch Ellett's research interests span several critical areas in pharmacy and medication safety. Her work examines quality use of medicines, adverse drug reactions, pharmacovigilance systems, and medication safety issues particularly affecting vulnerable populations such as older adults and people with dementia. She has conducted significant research on medicine shortages in Australia, including recent studies on ADHD medication shortages. Her work also explores polypharmacy issues, antipsychotic medication use in aged care, and innovative approaches to medication safety monitoring through digital health technologies. Analysis of Professor Kalisch Ellett's recent publications reveals a strong focus on practical applications of pharmacy research to improve real-world medication outcomes. Her work spans multiple methodologies including observational studies, database analyses, and consumer-focused research. Key trends in her research include examining medication safety in vulnerable populations, developing better systems for adverse drug reaction reporting, and addressing medication-related challenges in dementia care. Her research often has direct policy implications for improving medication use in the Australian healthcare system. President of the Australasian Pharmaceutical Science Association Member of the Pharmaceutical Society of Australia Professor Kalisch Ellett serves as president of the Australasian Pharmaceutical Science Association and is a member of the Pharmaceutical Society of Australia, indicating her active engagement with professional organizations in her field. While specific details about her advising and grant activities are limited in the available information, her extensive publication record suggests active research supervision and grant-funded projects. As a researcher at the Quality Use of Medicines and Pharmacy Research Centre, Professor Kalisch Ellett contributes to a collaborative research environment focused on optimizing medication use across various healthcare settings. Her work bridges clinical pharmacy practice with population health approaches to medication safety.

Arnab NandiView profile

Professor

• Database Systems
• Human-Computer Interaction
• Human-in-the-Loop Data Analytics
• +5 more

Arnab Nandi is a Professor of Computer Science and Engineering at The Ohio State University, with a courtesy appointment in Biomedical Informatics. He holds leadership roles including Steering Committee Member for the Human-in-the-Loop Data Analytics (HILDA) Workshop and has served as Workshops co-chair for SIGMOD 2025-26 and Demonstrations co-chair for SIGMOD 2024. His research focuses on bridging human interaction and data infrastructure, spanning database systems, human-in-the-loop data analytics, and next-generation query interfaces. Nandi's work emphasizes interactive data exploration through projects like DICE (Distributed Interactive Cube Exploration), GestureDB (Querying Beyond Keyboards), and Omni (Multimodal Data Exploration). His recent research explores integrating LLMs into database education, augmented reality interfaces for data analytics, and multimodal approaches to video querying. Nandi has received numerous honors including the NSF CAREER Award, Google Faculty Research Award, IEEE TCDE Early Career Award, and the University's Alumni Award for Distinguished Teaching. He was also named to Columbus Business First's '40 under 40' and became an ACM Distinguished Member in 2024. As an educator, he teaches courses including CSE 3241 (Introduction to Database Systems), CSE 5242 (Advanced Database Systems), and CSE 5251 (Introduction to Software Startups). His educational innovations include DBTutor, which integrates LLMs into database systems education. At Ohio State, Nandi co-founded the OHI/O Program, which fosters tech culture through hackathons, and The STEAM Factory, an interdisciplinary research collaboration network. Prior to academia, he was founder and CEO of Mobikit, a connected vehicles data analytics startup acquired by Azuga Inc. (a Bridgestone company). His research has been supported by the NSF and industry partnerships, with applications spanning precision agriculture (CropFusion), clinical data pipelines (ICARUS), and interactive visualization systems (Perceptvis).

• Cryptography
• Security
• Blockchain Technology
• +4 more

Elaine Shi is a Professor at Carnegie Mellon University's Computer Science Department and Electrical and Computer Engineering Department, with an Adjunct Professor appointment at the University of Maryland. Her research spans cryptography, security, blockchain technology, algorithms, and privacy-enhancing techniques. Co-founder of Oblivious Labs, Inc. Co-developer of cryptographic protocols adopted by Signal, Meta, and Google Co-founder of CyLab's crypto seminar series Her work has been recognized with prestigious awards including the Packard Fellowship, Sloan Research Fellowship, ACM Fellow, and IACR Fellow. She has advised numerous PhD students and postdocs, many of whom now hold academic or industry positions. 2023 ACM CCS Test of Time Award 2020 CyLab Distinguished Alumni Award 2016 ONR YIP Award Recent publications focus on advancing cryptographic protocols, privacy-preserving algorithms, and blockchain security, with key contributions in garbled RAM, oblivious computation, and differentially private mechanisms.