Find Academic Supervisors

• Biomedical Informatics
• Data Science
• Machine Learning
• +7 more

Lucila Ohno-Machado, MD, PhD, MBA, is the Waldemar von Zedtwitz Professor of Medicine and Biomedical Informatics and Data Science at Yale University. She serves as Deputy Dean for Biomedical Informatics and Chair of the Department of Biomedical Informatics and Data Science at the Yale School of Medicine. Her leadership roles include overseeing informatics infrastructure for Yale’s academic health system and fostering interdisciplinary collaboration across departments such as Medicine and the Halicioğlu Data Science Institute (previously at UCSD). Ohno-Machado holds an MD from the University of São Paulo (Brazil), an MBA from Fundação Getúlio Vargas (Brazil), and a PhD in Medical Information Sciences and Computer Science from Stanford University. She has held faculty positions at Harvard Medical School, MIT’s Health Sciences and Technology Division, and the UCSD Health Department of Biomedical Informatics, where she pioneered federated learning and privacy-preserving AI methodologies. Her research focuses on predictive analytics, federated learning, quantum computing in healthcare, and blockchain applications to enhance data security. She emphasizes addressing algorithmic bias and promoting health equity through data-driven solutions. Recent work includes developing frameworks for medical device safety evaluation and guiding principles to mitigate disparities in algorithmic healthcare applications. Key achievements include the Inaugural Helen M. Ranney Award (2024), election to the National Academy of Medicine (2024), and the William W. Stead Award (2019). She has led NIH-funded informatics centers and contributed to the first large-scale clinical data-sharing initiative across five UC medical systems. Her grants span AHRQ, PCORI, NSF, and blockchain-related initiatives through the IT/NIST Challenge Award. Ohno-Machado advises on translational research strategies and mentors teams in YBIC (Yale Biomedical Informatics & Computing). Her lab collaborates globally, leveraging federated models and AI to advance personalized medicine while prioritizing patient privacy. She also chairs the OHER Awards for Yale Research Excellence, promoting interdisciplinary health equity research.

Patrick T. BrandtView profile

Professor

• Political Dynamics
• Time Series Analysis
• Machine Learning
• +8 more

Patrick T. Brandt is a Professor of Political Science, Public Policy, and Political Economy at the University of Texas at Dallas , affiliated with the School of Economic, Political and Policy Sciences . His work integrates advanced statistical methods with political science, focusing on time series analysis, machine learning, and Bayesian modeling to study political dynamics. His research spans international relations , political economy , terrorist targeting , and conflict forecasting . He specializes in developing novel models for event count time series, including the Bayesian Poisson Vector Autoregression and MS-BVAR packages for R. His NSF-funded projects focus on event data generation and real-time conflict forecasting. Recent publications emphasize domain-specific language models (ConfliBERT variants), graph neural networks for conflict prediction, and machine translation challenges in political text analysis. He maintains the OpenEvent Data Repository and develops software like MSBVAR and PESTS for academic use. Scientific Awards : Robert H. Durr Award for Best Methodology Paper, Midwest Political Science Association (2006)

Achille VarziView profile

Professor

• Analytic Metaphysics
• Mereology
• Logic
• +5 more

Achille Varzi is a Full Professor of Philosophy at Columbia University since 2006, specializing in analytic metaphysics, logic, and mereology . His academic journey includes an Assistant Professorship at Columbia (1995–1999) and research roles in Artificial Intelligence at Trento’s Institute for Scientific and Technological Research (1989–1995). He earned his PhD from the University of Toronto (1994) under Hans G. Herzberger and holds an honorary professorship at Trento. Research Focus: Leading authority in mereology , exploring part-whole relations through numerous publications, edited volumes, and a forthcoming book with A.J. Cotnoir. His work bridges logic, ontology, and philosophy of language. Public Engagement: Active as a public intellectual with media contributions and a philosophical TV program on Italian national television. Publications Trends: Recent works emphasize classical mereology , ontological neutrality , and vagueness . Earlier contributions include foundational texts on spatial reasoning, identity, and paradoxes in logic. Scientific Awards: Recognized with prestigious fellowships and prizes in Italy and Canada, including the David Savan Dissertation Prize for his groundbreaking PhD thesis. Editorial Leadership: Serves as editor of The Journal of Philosophy since 2001.

Kaidi XuView profile

Assistant Professor

• Trustworthy AI
• Formal Verification of Neural Networks
• Adversarial Attacks
• +7 more

Kaidi Xu is an Assistant Professor in the Department of Computer Science at Drexel University's College of Computing & Informatics. His research focuses on Trustworthy AI, with expertise in formal verification of neural networks, adversarial attacks (especially in the physical world), and certified defenses. He actively publishes in top-tier conferences including NeurIPS, ICML, ICLR, CVPR, and AAAI, and leads the award-winning research team 'alpha-beta-crown'. PhD in Computer Science, Northeastern University (2021) MS in Computer Science, University of Florida (2017) BS in Computer Science, Sichuan University (2015) Dr. Xu's research spans critical areas in AI security and robustness. He investigates formal methods to verify neural network behavior, develops techniques to defend against real-world adversarial manipulations (such as the famous 'Adversarial T-shirt'), and explores model compression and explainability. His work bridges theoretical guarantees with practical applications in healthcare, material science, and autonomous systems. His recent publications reflect a strong trend toward certified robustness, interdisciplinary applications, and formal verification across vision, language, and multimodal systems. He has consistently published at NeurIPS, ICML, CVPR, and ACL, demonstrating sustained impact in both machine learning and computer vision communities. Winner of VNN-COMP'21 with highest score Three-time VNN-COMP champion (2021–2023) with team alpha-beta-crown Faculty Research Excellence Award, CCI@Drexel (2024) Recipient of multiple Carleone Faculty Awards (2025) NSF grant recipient for projects on transit systems and material synthesis Dr. Xu advises PhD students, including Jinhao, and has secured significant external and internal funding, including multiple NSF grants and Drexel internal awards. He is actively recruiting motivated students with strong machine learning backgrounds. He also contributes to the academic community as an Area Chair for NeurIPS 2025, organizer of workshops like GenAI4Health@AAAI 2025, and frequent program committee member. He leads the 'alpha-beta-crown' research team, known for its leadership in neural network verification and repeated success in the VNN-COMP competitions. The team focuses on developing scalable, sound, and complete verification tools for deep learning models, pushing the frontier of AI safety and reliability.

Michael KrauthammerView profile

Professor

• Clinical Data Science
• Translational Bioinformatics
• Machine Learning in Healthcare
• +3 more

Michael Krauthammer is a Professor of Medical Informatics and Chair of the Department of Quantitative Biomedicine at the University of Zurich, affiliated with the University Hospital of Zurich. His lab focuses on Clinical Data Science and Translational Bioinformatics, leveraging AI and machine learning to address healthcare challenges. Key areas include cancer genomics, federated learning, and automated medical imaging analysis. Education and affiliations: Krauthammer leads an interdisciplinary team supported by major funding agencies. His research spans bioinformatics, clinical decision support systems, and multimodal data integration. Notable projects include AI-assisted diagnosis in rheumatology and prime editing efficiency prediction. Recent work emphasizes longitudinal cfDNA analysis, drug interaction modeling, and personalized oncology. The lab collaborates across disciplines, with projects funded by Swiss and international grants. Students and postdocs work on topics like machine learning for radiology reports, longitudinal disease trajectories, and protein design. Key projects include the NTCIR-18 RadNLP challenge, prime editing prediction models (Nature Biotechnology 2024), and vision transformers for capillaroscopy analysis. The lab advocates for reproducible data science and ethical AI in healthcare.

Karlyn D. StanleyView profile

Professor

• Science, Technology, and Innovation Policy
• Autonomous Vehicles
• Artificial Intelligence
• +12 more

Karlyn D. Stanley is a Senior Policy Researcher at the RAND Corporation and a Professor of Policy Analysis at the RAND School of Public Policy. She also serves as an Adjunct Professor at the Walsh School of Foreign Service, Georgetown University, where she teaches on the ethical dilemmas of emerging technologies. Her work bridges law, technology, and public policy, with a focus on autonomous vehicles, artificial intelligence, and telecommunications. Her research interests include the legal and policy dimensions of autonomous vehicles, AI governance, privacy law, liability frameworks, and resilient infrastructure. She has led major studies on AV regulations across multiple countries and U.S. states, and on AI’s impact on copyright and privacy. Her expertise informs policymakers, including Congressional staff, through concise briefs and public presentations. Her recent publications reflect a strong trend in technology policy, particularly in autonomous systems and AI regulation. Her work spans comparative legal analysis, risk-based frameworks, and resilience planning, especially in critical infrastructure and national security contexts. Science, Technology, and Innovation Policy Autonomous Vehicles Artificial Intelligence AI Governance Technology Law Privacy and Cybersecurity Scientific Awards: No specific awards mentioned in the provided text. She advises on high-impact research projects and teaches graduate-level courses at Georgetown and RAND. Her work is supported by federal agencies and involves collaboration across disciplines and institutions. She has led studies for the U.S. Army, Department of Defense, and Congress, demonstrating significant grant and policy engagement. She is involved in research teams at RAND focused on technology, security, and public policy. Her projects often involve interdisciplinary collaboration, including legal experts, engineers, and policymakers, particularly in areas like AI ethics, autonomous systems, and infrastructure resilience.

Tor Helge AasView profile

Professor

• Innovation Management
• Digital Servitization
• Service Innovation
• +9 more

Tor Helge Aas is a Professor at the Department of Management and Innovation, School of Business and Law, University of Agder, and holds a part-time position as Professor II at Kristiania University College. He is the Director of the Executive MBA program at UiA and actively contributes to research and teaching in innovation management. His affiliations include the Research Centre for Studies of Innovation for Sustainable Transition (RIST) and the ISPIM Scientific Panel. His research interests focus on innovation management , particularly in digital servitization, service innovation, innovation processes, collaboration for innovation, and management control. He examines how organizations in manufacturing and service sectors transition to service-oriented business models through digital platforms and ecosystem collaboration. The recent publications highlight a strong trend in digital servitization , platform-based innovation , and human-technology interaction in Industry 5.0. His work spans business model innovation, legitimacy in smart services, and coopetition in R&D projects, with a consistent focus on organizational transformation and sustainable innovation. Scientific Awards and Recognitions: No explicit awards mentioned in the text. Advising and Grants: He has supervised Master’s and PhD students (implied through academic roles). Actively involved in Horizon 2020 projects: OpenInnoTrain (Work Package Manager) and REDI program. Research funded by EU frameworks, indicating competitive grant acquisition. Labs and Research Teams: Member of RIST – Research Centre for Studies of Innovation for Sustainable Transition . Active in ISPIM (International Society for Professional Innovation Management) Scientific Panel. Collaborates extensively with researchers like Anne-Laure Mention, Katja Maria Hydle, and Karl Joachim Breunig.

Krzysztof WęcelView profile

Professor

• Semantic Technologies
• Linked Open Data
• Big Data Analytics
• +5 more

Dr hab. Krzysztof Węcel serves as Professor and current Head of the Department of Economic Informatics at Poznan University of Economics and Business (UEP), appointed on October 4, 2024. His primary affiliation spans over 25 years with UEP's Department of Economic Informatics, which maintains one of Poland's longest-running academic websites since 1998. He holds dual recognition through habilitation from University of Potsdam (2020) and professorship conferred by UEP (June 24, 2020). His academic milestones: Habilitation degree in Economic Informatics, University of Potsdam (2020) Professor title, Poznan University of Economics and Business (2020) Węcel's research centers on Semantic Technologies and data quality assessment across multilingual Wikipedia, with emphasis on company information verification, citation analysis, and open data applications. His work bridges Big Data analytics with practical business solutions, particularly in maritime logistics where he pioneered evolutionary algorithm-based AIS data processing. Current investigations focus on generative AI's dual role in creating and combating disinformation, including ChatGPT's impact on academic writing and fake news propagation. Recent publications (2022-2025) reveal three dominant trends: First, systematic analysis of Wikipedia's reliability across languages during crises like the pandemic and Ukraine war. Second, development of AI-driven fact-checking frameworks (e.g., OpenFact project's CLEF 2023 victory). Third, exploration of generative AI's societal impact ranging from student creativity to disinformation campaigns. Scientific awards received: Best Paper Award at ICIST 2017 Conference Award for most innovative article at NATCON 2018 conference Microsoft Azure for Research Award (2016) As academic advisor, he leads the 'Semantic Technologies' diploma seminar attracting high-achieving students, with participants winning the 29th UEP Foundation Competition (2025) and Eurostat's Web Intelligence Challenge (2024). His grant portfolio includes the 'Maritime Big Brother' project (2017) for ship voyage prediction using AIS data and Microsoft Azure funding for Wikipedia quality enhancement. Ongoing initiatives include OpenFact (fake news detection) and GOBLIN projects. He actively collaborates with SKN Data Science student circle (evidenced by 2024/2025 inaugural meeting) and international consortia like CLEF and QOD workshops. Departmental leadership involves managing the OpenFact research team that achieved top results in CheckThat! Lab competitions, alongside maritime data analytics groups applying evolutionary algorithms to shipping networks.

• Multi-access Edge Computing
• High-Performance Networks
• Cognitive IoT Systems
• +7 more

Prof. Ahmed Al-Dubai is a Professor at the School of Computing, Engineering and the Built Environment, Edinburgh Napier University, where he leads the IoT and Networked Systems Research Group and serves as Cybersecurity and Cyber Physical Systems Research Lead. His interdisciplinary research spans Multi-access Edge Computing, High-Performance Networks, Cognitive IoT Systems, VANETs, AI, E-Health, Smart Cities, and Security . He earned his PhD in Computing Science from the University of Glasgow in 2004. His recent publications focus on edge computing architectures, digital twin security, Arabic NLP, wireless energy harvesting, and vehicular communication . His work has been recognized with IEEE Outstanding Service Award, Best Paper Awards at IEEE IUCC 2015 and ACM MoMM 2013 , and fellowships like Senior IEEE Member and British Higher Education Academy Fellow . He supervises 20+ PhD students and has served on 60+ IEEE/ACM conference committees. Current projects include AI-driven fish identification (Innovate UK £265K) , secure IoT protocols (Royal Society £12K) , and COG-MHEAR (EPSRC £3.26M) . He has held visiting professorships at Universite de Valenciennes, University of Sydney, and University of Shenyang.

Christian WolffView profile

Professor

• Multimedia Information Systems
• Text Mining
• Digital Humanities
• +6 more

Christian Wolff is a University Professor and Chair of Media Informatics at the Institute for Information and Media, Language and Culture at the University of Regensburg. Since April 2022, he has served as the founding Dean of the Faculty of Computer Science and Data Science, while maintaining secondary membership in the Faculty of Languages, Literature and Cultural Studies (SLK). His academic career spans over three decades with significant contributions to multiple disciplines at the intersection of computer science and humanities. Wolff's research interests center around multimedia and multimodal information systems, electronic publishing, and text technology, particularly text mining. His work bridges computer science with digital humanities, legal informatics, and social media analysis. Recent publications demonstrate a strong focus on large language models, sentiment analysis applications across various domains, legal technology innovations, and virtual reality research for cognitive studies. His interdisciplinary approach has produced significant contributions in both technical and humanities domains. His recent publication trends reveal a strategic shift toward applied AI research, particularly in legal technology (LegalTech), social media analysis, and sentiment analysis using large language models. The publications show increasing collaboration across disciplines, connecting computer science with law, political science, literature, and psychology. His work on the digital basis document for legal proceedings represents a major practical application of his research in the German justice system. East Bavarian Cultural Prize Doctoral Award of the University of Regensburg Wolff has led numerous interdisciplinary research projects connecting computer science with humanities and legal studies. His leadership extends to institutional roles including Dean of Research, Vice Dean, and Dean of Faculty positions. He has been instrumental in establishing the new Faculty of Computer Science and Data Science at the University of Regensburg, demonstrating significant impact on institutional development and research infrastructure. Wolff directs research initiatives focused on text technology, digital humanities, and legal informatics. His work with the INDIGO - Internet and Digitization Eastern Bavaria initiative and the TRIO project demonstrates commitment to regional technology transfer and innovation. The interdisciplinary nature of his research groups connects computer scientists with legal scholars, linguists, and social scientists to address complex digital transformation challenges.

• Network Security
• Cloud Security
• Internet of Things Security
• +5 more

Rémi Badonnel is a Professor in the Department of Computer Science at the University of Lorraine's Faculty of Science and Technology, affiliated with the LORIA research laboratory in France. With over 20 years of research experience, his work focuses on network security, cloud security, and network management systems. His research interests span multiple critical areas of cybersecurity including Network and cloud security architecture Internet of Things security frameworks Software-defined networking security Automated security configuration systems Cybersecurity education and workforce development His work often combines theoretical foundations with practical implementations, particularly in the areas of formal verification for security policies and machine learning applications for threat detection. Analysis of his recent publications (2021-2025) reveals a strong focus on cloud security challenges, particularly around service composition, migration security, and formal verification methods. His work increasingly incorporates AI/ML techniques for security automation while maintaining strong theoretical foundations in network management principles. His research shows consistent collaboration with European institutions, particularly in cybersecurity education initiatives. As an academic leader, he has supervised numerous researchers including Martín Barrère, Anthéa Mayzaud, Adrien Hemmer, and Nicolas Schnepf, who have co-authored multiple publications with him. His editorial roles for IEEE Transactions on Network and Service Management demonstrate his standing in the network security research community.

• Urban Planning
• Ethnography
• Literary Studies
• +4 more

Laurent Matthey is an Associate Professor at the University of Geneva's Department of Geography and Environment since 2014. He directs the Urban Planning orientation of the joint UNIGE-HES-SO Master's in Territorial Development and co-directs the UNIGE-EPFL MAS in Urban Planning. His work bridges ethnography and literary studies, examining political issues in urban narrative production through sensitive registers and attentional regimes. Current affiliations: CRESSON team (UMR AAU) since 2023 Active in EspaceSuisse committee and RAMAU network management Research focuses on epistemology of urban planning knowledge , organized into two streams: Planning discourses and narrative studies Ethnography of urban projects His research-creation explores intersections between: Communication and urban planning Fiction and urban planning Narrative and sensitive methods Urban social quality Current projects include "Participez! Neighborhood makers" (FNS Division 1 funding) and completed works like "The narrative making of the city" (FNS-COST 18126) and "Developing housing cooperatives in Greater Geneva" (Interreg V France-Switzerland). He has supervised doctoral students in Geneva, including Hugo Campi ("Flowers to Convince"), Nicole Peccoud ("Social emergency in Geneva"), and Morgane Rudaz ("Feminist collages"). Key scientific contributions appear in GeoHumanities , Planning Theory , and Social Inclusion , with recent emphasis on: AI's role in urban narrative (2024) Decolonial planning approaches (2023) Affective urbanism (2018) Teaching encompasses: Urban geography and ecology (T206059 BGEO) Research-creation seminar (T416007 MDT) Creative methods in metropolitan foresight Professional engagements include urban quality studies for Geneva's Urban Planning Office and Lausanne's Roads Department. He has co-authored foundational texts on Swiss urbanism with Christophe Mager and David Gaillard, exploring topics like "Urbanism fictionnel" (2011) and "Being an urban planner" (2016).

• Software Engineering
• Artificial Intelligence
• AI Trustworthiness Assessment (SE4AI)
• +5 more

Gias Uddin is an Associate Professor at York University's Lassonde School of Engineering and an Adjunct Professor at the University of Calgary . His research bridges Software Engineering (SE) and Artificial Intelligence (AI) , focusing on AI Trustworthiness Assessment (SE4AI) and AI-Driven Productivity Tools (AI4SE) . PhD in Software Engineering & AI, McGill University (2018) MSc in Software Engineering, Queen’s University (2008) BSc in Computer Science & Engineering, Bangladesh University of Engineering and Technology (2004) His research explores: Metamorphic Relations for LLM Hallucination Detection AI-Enhanced Software Documentation Foundational Models for Runtime System Modernization Developer-Centric AI Tooling Recent article trends show expertise in LLM Trustworthiness , Low-Code Platforms , and IoT Developer Communities . Awards include Distinguished Paper at FSE 2025 , multiple IBM Champion recognitions, and York Research Award . He leads the Data Intensive Software Analytics (DISA) Lab and mentors PhD students in SE-AI Intersections .

• Natural Language Processing
• Machine Learning
• Text Mining
• +10 more

Fernando Manuel Marques Batista is an Associate Professor at ISCTE – University Institute of Lisbon, Department of Information Science and Technology, and an integrated researcher at INESC-ID Lisbon. He serves as the Executive Coordinator of the Human Language Technologies (HLT) Scientific Area at INESC-ID and is a member of its Scientific Council. He previously held leadership roles including President of the Pedagogical Council of ISCTE-IUL (2017–2019) and member of its Standing Committee (2015–2017). Research Interests: Natural Language Processing Machine Learning Text and Speech Processing Sentiment and Emotion Analysis Hate Speech Detection Social Media Analytics Automatic Speech Recognition and Transcription His recent publications reflect a strong focus on applying NLP and machine learning to social media, with particular emphasis on hate speech detection, sentiment analysis, and user behavior modeling. He has also contributed significantly to speech processing, including punctuation restoration and prosody modeling, and to digital humanities through medieval text analysis. His work spans both technical innovation and real-world applications in tourism, finance, and public discourse. Scientific Recognition: Senior Member of IEEE (since 2016) Member of ISCA (International Speech Communication Association) Fernando Batista actively advises numerous PhD and Master’s students, supervising research in areas such as generative AI, hate speech detection, sentiment analysis, and economic forecasting. He has coordinated research projects like SPEDIAL and AppRecommender and is involved in organizing major conferences including PROPOR, EAMT, IPMU, and the Lisbon Machine Learning Summer School (LxMLS), where he has served in editorial and technical roles. Research Labs and Teams: He is a key member of the HLT@INESC-ID research group, contributing to its leadership and scientific direction. This group focuses on human language technologies, including speech processing, natural language understanding, and multilingual systems.

Kenneth KrushelView profile

Visiting Professor

• Digital Media Strategy
• Media and Entertainment Industries
• Artificial Intelligence and Society
• +7 more

Kenneth Krushel is a Visiting Professor at the Leonard N. Stern School of Business, New York University, where he teaches courses in digital media strategy, history of media and entertainment industries, entertainment and media finance, and AI and society. He also serves as a visiting professor at ESCP Business School's Strategy and Business MSc program and Tel Aviv University’s Coller School of Management, where he has been recognized as an outstanding teacher multiple times. His academic background includes dual degrees in Philosophy and Literature from Amherst College. Kenneth Krushel's research and teaching focus on the intersection of technology, media, and society. His work explores how artificial intelligence is reshaping business education, global geopolitics, cultural narratives, and philosophical frameworks. He investigates the evolving dynamics of digital media, the transformation of entertainment industries, and the ethical and strategic implications of AI integration in business and education. His recent publications reflect a trend toward interdisciplinary analysis, combining insights from philosophy, media studies, and technology strategy. The works address themes such as the paradox of teaching AI in MBA programs with humanistic depth, and how AI disrupts long-standing geopolitical assumptions. Teaching and Research Fellowship at Utrecht University School of Economics (2018) Outstanding Teacher, Tel Aviv University’s Coller School of Management (multiple occasions) Kenneth Krushel has advised and lectured for leading institutions and corporations globally. Though no formal grant funding is mentioned, his international teaching appointments and fellowships reflect sustained academic engagement. He has mentored students informally through teaching excellence and leadership in academic programs, though no formal PhD or master’s advisees are listed. No specific lab or research team is mentioned in the text, but his affiliations with NYU Stern, ESCP, and Tel Aviv University position him within active academic networks in media, strategy, and technology.