Find Academic Supervisors

Janki BhimaniView profile

Professor

• Emerging Memories
• Flash-Based Storage Systems
• Machine Learning
• +7 more

Janki Bhimani is a Professor and Director of the Data Management Research Lab (DaMRL) at the School of Computing and Information Science, Florida International University (FIU). Her research focuses on Memory and Storage Systems, Cloud Computing, Performance Modeling, and Applied Machine Learning. She holds a Ph.D. in Computer Engineering from Northeastern University (2019), an M.S. in Electrical and Computer Engineering (2016), and a B.S. in Electrical and Electronics Engineering from GITAM University (2013). Prior to FIU, she taught at Northeastern University and collaborated with Samsung Semiconductor Research Labs on flash-based SSDs. Her research interests include emerging memory technologies, high-performance computing, and datacenter reliability management. She leads innovative projects like Heimdall (machine learning for storage I/O optimization) and MoKE (modular key-value storage emulation). Awards include FIU Top Scholar and KFSCIS Excellence in Applied Research. Teaching highlights include CIS 3530 (Data Structures), CIS 5346 (Storage Systems), and EECE 2560 (Engineering Algorithms). Her work emphasizes bridging theory and practice, with patents on storage system optimization and machine learning integration.

Oliver KennedyView profile

Associate Professor

• Databases
• Programming Languages
• Data Science
• +2 more

Dr. Oliver Kennedy is an Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo's School of Engineering and Applied Sciences. He serves as Co-Director of Graduate Studies and leads the Online Data Interactions (ODIn) Lab. His research focuses on databases, programming languages, and user interfaces for data science, with particular emphasis on scalable compilers and managing uncertainty in data. Kennedy holds a PhD in Computer Science from Cornell University (2011), MS from Cornell (2008), and dual BS degrees in Computer Science and Computer Engineering from NYU and Stevens Institute of Technology (2005). His work bridges theoretical computer science with practical data management challenges. His recent publications demonstrate a strong focus on improving database query processing, uncertainty management in data systems, and developing practical tools for data integration and exploration. Awarded the NSF CAREER Award in 2018, Kennedy's research has significant implications for efficient data processing in scientific and commercial applications.

Sabine C. CareyView profile

Professor

• Violent Conflict Analysis
• Human Rights Violations
• Political Repression
• +3 more

Sabine C. Carey is a Professor at the School of Social Sciences, University of Mannheim, leading the Chair of Political Science, International Relations. Her research emphasizes empirical analysis of violent conflict, human rights violations, terrorism, and counterinsurgencies, focusing on actors like pro-government militias and governance-repression links. Her teaching includes courses on international relations and political violence for BA, MA, and PhD students. Former students, such as Rosa Aloisi (Trinity University) and Katrin Paula (Technical University of Munich), have pursued prestigious academic and professional careers, with some receiving awards like the Deutscher Studienpreis. Key Research Areas: Violent conflict, human rights, media freedom in conflict zones, pro-government militia dynamics. Recent Article Trends: Explored media's role in postwar societies, state violence escalation, militia impacts on postwar repression, and global human rights perceptions. She will present at University College London (April 2025) and the Mannheim Model United Nations Conference (April 2025). Contact: sabine.carey@uni-mannheim.de

• Victorian Literature
• Academic Writing
• British Humane Letters
• +3 more

Dr. Jessica Terekhov is Assistant Professor in English at Northeastern University London. She holds a BA in English from Johns Hopkins University and MA/PhD degrees in English from Princeton University. Her teaching focuses on academic writing, Victorian literature, and 18th-19th century British humanities. Her research centers on Victorian print culture, particularly fiction serialized in shilling parts, with emphasis on Charles Dickens and George Meredith. She maintains scholarly affiliations with the Bibliographical Society of America and Research Society for Victorian Periodicals, while serving as Contributing Editor for At the Circulating Library database. Her work bridges archival research and digital humanities to document historical publication practices.

Hans-Jörg VogelView profile

Professor

• Soil Science
• Environmental Science
• Hydrology
• +3 more

Prof. Dr. Hans-Jörg Vogel is the Head of the Department of Soil System Science at the Helmholtz Centre for Environmental Research (UFZ) in Halle, Germany. His research focuses on understanding soils as complex systems, emphasizing their porous structure and its role in facilitating water, gas, and matter fluxes, as well as biological processes. He leads interdisciplinary projects integrating experimental and computational approaches to model soil functions under climate and land-use changes. He holds the Emil-Ramann-Medaille 2022 and the Don and Betty Kirkham Soil Physics Award 2022 for contributions to soil science. His work spans soil structure dynamics, denitrification processes, nanoparticle transport, and systemic modeling of soil functions via frameworks like BODIUM. Collaborations include TERENO observatories and the Soil Structure Library (open-access CT data repository). Key affiliations include the UFZ’s Ecosystems of the Future research community and the Soil System Science Team. His research addresses sustainable agriculture, environmental monitoring, and climate change impacts, with over 150 peer-reviewed publications since 2000.

Duen Horng ChauView profile

Professor

• AI Security
• Explainable AI
• Visual Analytics
• +6 more

Roles & Affiliations: Duen Horng (Polo) Chau is a Professor in the School of Computational Science and Engineering at Georgia Tech. He co-directs the MS Analytics program and leads industry relations for The Institute for Data Engineering and Science (IDEaS) and corporate relations for The Center for Machine Learning. He teaches Data & Visual Analytics (CSE6242/CX4242) to over 1,000 students annually. His affiliations include the GVU Center, Institute for People and Technology (IPaT), and ML@GT. Education: PhD in Machine Learning (Carnegie Mellon University, 2012), MS in Machine Learning (CMU), MA in Human-Computer Interaction (CMU), B.Eng. in Information Engineering (The Chinese University of Hong Kong). Research: Focuses on human-centered AI, interpretable machine learning, adversarial robustness, graph visualization/mining, and social good applications (e.g., healthcare, anti-human trafficking). His lab develops tools like ActiVis (for neural network exploration), Diffusion Explainer (for text-to-image models), and TrafficVis (to combat trafficking). Research is funded by NSF, NIH, DARPA, NASA, and industry partners (Google, Intel, Meta). Awards: 17+ best paper awards, Google/Intel/Meta Faculty Awards, Outstanding Undergraduate Research Mentor (2023), Outstanding Mid-Career Faculty (2022), and the Carnegie Mellon Dissertation Award (2012). Grants & Labs: Leads projects on AI safety, robust speech recognition, and graph vulnerability. Collaborates with Children’s Healthcare of Atlanta on surgical planning via AR. His work influences industry platforms (e.g., Meta’s ML tools used by 25% engineers).

Juanita Duque-RoseroView profile

Academic

• Computational Number Theory
• Arithmetic Geometry
• Modular Curves
• +4 more

Juanita Duque-Rosero is a Research Assistant Professor at Boston University, specializing in computational number theory and arithmetic geometry. She collaborates with Jennifer Balakrishnan on explicit Chabauty methods and triangular modular curves. Her research focuses on rational points on curves, modular curves, and p-adic heights. Education: PhD from Dartmouth College (2023, advised by John Voight), Masters from Colorado State University (2019, advised by Rachel Pries), and undergraduate degree from Universidad de los Andes. Research interests include arithmetic properties of curves, geometric quadratic Chabauty, and computational aspects of modular forms. She has contributed to databases of Hilbert modular surfaces and studies of Artin-Schreier curves. Her recent articles explore invariants of curves, p-adic heights, and geometric methods in number theory. Talks include presentations at CIRM, IPAM, and Texas A&M. Teaching includes courses like Modern Algebra and Graph Theory at Boston University, and calculus courses at Dartmouth and Colorado State. She mentors students in algebraic geometry and number theory through directed reading programs. She advocates for equitable mathematics education through Federico Ardila’s axioms and participates in outreach activities. A creative hobby is mathematical origami, leading a club at Colorado State University.

Saskia Peels-MattheyView profile

Senior Lecturer

• Ancient Greek religion
• Ancient Greek literature
• Greek epigraphy
• +4 more

Dr. Saskia Peels-Matthey is a Senior Lecturer in Classics at the University of Groningen's Faculty of Arts, specializing in Ancient Greek religion, literature, and epigraphy. She holds MA degrees in English, Classics, and Linguistics from Leiden and Utrecht Universities, and a PhD in Classics from Utrecht University (2014). Her research integrates cognitive linguistics, digital humanities, and classical studies, notably through her NWO Veni project 'Polytheism as Language' exploring Greek divine semantics. She co-leads the open-access Collection of Greek Ritual Norms (CGRN) database and develops computational tools like AGILe lemmatizer. A board member of the Anchoring Innovation program, she also supervises interdisciplinary PhD projects blending classics with computational methods and climate communication. Her work spans semantic analysis of religious terms (e.g., hosios, hagnos), ritual innovations in inscriptions, and computational modeling of ancient Greek language evolution. Notable collaborations include organizing conferences on Artemis mythology and interdisciplinary workshops on ancient poetry's cognitive impact. She actively engages in public outreach through media appearances explaining classical studies' modern relevance.

Éric TanterView profile

Professor

• Programming Languages
• Gradual Typing
• Software Engineering
• +9 more

Éric Tanter is a Full Professor in the Computer Science Department (DCC) at the University of Chile, where he also leads the PLEIAD Lab. He holds an Inria International Chair (2025–2029) and is an Associate Researcher at the Millenium Institute for Foundational Research on Data (IMFD). His academic leadership includes prior roles as Director and Deputy Director of the DCC, and Coordinator of the PhD Program in Computer Science. His research centers on programming languages and software engineering, with a strong focus on gradual typing, type systems, program verification, and secure programming. He explores both theoretical foundations and empirical practices, aiming to bridge the gap between static and dynamic language paradigms. His recent work emphasizes gradual verification, refinement types, and applications in proof assistants and security. The trends in his recent publications show a deep engagement with foundational aspects of gradual and dependent typing, often aiming to enhance the reliability and security of software systems. These works frequently involve formalization in proof assistants like Coq and explore applications in differential privacy, secure interoperability, and symbolic execution. Inria International Chair (2025–2030) Best Paper Awards at POPL 2019, OOPSLA 2018, ICFP 2018, MSR 2011, AOSD 2010, SBLP 2008, DAIS 2006 Most Influential/Most Notable Paper Awards at DLS, Programming, DLS Facebook Research Testing and Verification Award (2018) Google Faculty Research Awards (2015, 2016) Best Professor Award, University of Chile (2011) Éric Tanter has advised numerous PhD and Master’s students, many of whom have gone on to publish influential work in top venues. He has led multiple research projects funded by FONDECYT, ANID, INRIA, and other national and international agencies. His service includes editorial roles in journals such as the Journal of Functional Programming and Science of Computer Programming, and extensive participation in program committees of major conferences like POPL, ICFP, and OOPSLA. He leads the PLEIAD Lab at the University of Chile, a research group focused on programming languages, software engineering, and formal methods. The lab fosters collaboration with international institutions and emphasizes both theoretical rigor and practical impact.

• Soil Biogeochemistry
• Carbon Cycling
• Mineral-Soil Interactions
• +3 more

Dr. Marion Schrumpf is a Group Leader in the Soil Biogeochemistry research group at the Max Planck Institute for Biogeochemistry, affiliated with the Department of Biogeochemical Processes. Her work focuses on soil carbon dynamics, mineral-organic matter interactions, and climate change impacts on soil systems. Research areas: Soil biogeochemistry, carbon cycling, mineral-soil interactions, nutrient stoichiometry, microbial ecology, and climate modeling. Email: mschrumpf@... Phone: +49 3641 57-6182 Office: B2.015 Her recent publications address themes like mineral control over soil carbon stabilization, drought effects on soil processes, microbial stoichiometric adaptation, and the Jena Soil Model's role in simulating carbon-nutrient interactions. She leads efforts to disentangle the complex relationships between land use, mineralogy, and soil organic matter turnover across diverse ecosystems.

• Earthquake Site Response
• Ground-Motion Modeling
• Seismic Building Codes
• +3 more

Dr. Paolo Bergamo is a Senior Researcher at the Swiss Seismological Service (SED), ETH Zurich, since April 2016. He specializes in engineering seismology, focusing on earthquake site response models, ground-motion modeling, and seismic risk assessment. His work includes projects such as the Earthquake Risk Model Switzerland (ERM-CH23) and the SERA Horizon2020 initiative. He holds a PhD in Earth Sciences from Politecnico di Torino (2012) and advanced degrees in Environmental Engineering. Key research areas include soil amplification analysis, geophysical surveys, and the integration of empirical and computational methods for seismic hazard mitigation. His contributions span microzonation studies, site characterization using borehole and ambient vibration data, and the development of design-compatible waveforms for Swiss building codes. Education: PhD in Water and Territory Management Engineering, Politecnico di Torino (2012) MSc and BSc in Environmental Engineering, Politecnico di Torino (2008, 2005) Research Interests: Dr. Bergamo’s work emphasizes the collation of empirical ground-motion data with building codes, spatial modeling of soil amplification, and geophysical site characterization. He employs advanced techniques like surface-wave analysis, machine learning, and canonical correlation for seismic hazard assessment. Projects & Grants: ERM-CH23: Site response implementation and national seismic risk modeling SERA Project (Horizon2020): Site characterization indicators Swiss Federal Office for Environment-funded studies on microzonation and geophysical monitoring Labs & Teams: Active contributor to the Engineering Seismology group at SED, leading efforts in alpine valley seismic modeling and offshore site characterization in Lake Lucerne.

Adrian BellView profile

Professor

• History of Finance
• Medieval Economic History
• Financial History
• +8 more

Professor Adrian Bell is Chair in the History of Finance at the ICMA Centre, Henley Business School, University of Reading, where he also serves as Associate Pro-Vice-Chancellor for Research (Prosperity and Resilience). He has been a faculty member since 1994 and leads a major AHRC-funded project, 'The People of 1381', examining the Peasants' Revolt through interdisciplinary economic and social lenses. His research integrates medieval financial systems with modern economic theory. His research interests span History of Finance , Medieval Economic History , Football Finance , Hundred Years War , and Higher Education Policy . He employs quantitative and archival methods to explore topics such as medieval real estate bubbles, credit systems, and pandemic economics. His work often bridges historical analysis with contemporary financial issues, such as the economic impact of football clubs on universities or lessons from the Black Death for modern crises. The 15 most recent publications reflect a strong trend in medieval financial systems , behavioral and market finance , and socioeconomic impacts of sports and pandemics . His articles frequently analyze long-term economic patterns, price formation, and institutional finance, combining history with econometrics. Key themes include market efficiency, credit innovation, and the social consequences of financial decisions. Professor Bell has received continuous research funding from prestigious bodies including the AHRC , ESRC , and Leverhulme Trust . Notable projects include: The People of 1381 (AHRC) The first real estate bubble in medieval England (Leverhulme Trust) The Soldier in Later Medieval England (AHRC) Advance contracts for wool supply (ESRC) Medieval foreign exchange and credit finance (ESRC) He has advised on numerous collaborative research initiatives and contributes actively to public discourse through media appearances, podcasts (e.g., The Unexpected World of Business), and blogs. He is a frequent expert commentator on financial history and football economics. His work is supported by research teams and digital platforms such as 1381.online and the medievalsoldier.org database. He also contributes to academic leadership as former Head of the ICMA Centre and Associate Dean (International).

Mohsen HeidariView profile

Assistant Professor

• Quantum Computing
• Quantum Algorithms
• Theoretical Machine Learning
• +3 more

Mohsen Heidari is an Assistant Professor in the Department of Computer Science at Indiana University, Bloomington. He is affiliated with the IU Quantum Science and Engineering Center (QSEc) and the NSF Center for Science of Information (CSoI). He previously held positions as a Visiting Assistant Professor at Purdue University and as a Postdoctoral Research Associate at CSoI. Ph.D. in Electrical Engineering (2019) and M.Sc. in Applied Mathematics (2017) from the University of Michigan His research focuses span quantum computing, theoretical machine learning, and information theory. Key themes include: Quantum algorithm design and sample complexity Fourier-based learning frameworks Quantum-classical duality in learning problems Information-theoretic approaches to biological systems Article trends show a strong emphasis on quantum-classical learning intersections (6/15 papers), Fourier analysis applications (5/15), and information-theoretic foundations (12/15). Notable venues include NeurIPS, IEEE Transactions, and ISIT. He directs research involving: Quantum Neural Network development Quantum measurement simulation Quantum data compression techniques Quantum algorithm implementation constraints

• Multicore Computing
• Virtualization
• Cloud Computing
• +4 more

Xiaoning Ding is an Associate Professor in the Department of Computer Science at New Jersey Institute of Technology (NJIT). His research focuses on virtualization, multicore computing, cloud infrastructure optimization, and mobile systems. He leads projects addressing challenges in nested virtualization, memory management, and cache conflicts in distributed and cloud environments. Key research interests include optimizing task scheduling in cloud VMs, reducing TLB misses through huge page strategies, and mitigating interference in multi-tenant GPU clouds. His work on page placement mechanisms and dynamic page coalescing aims to enhance virtualized cloud performance. Ding has received federal funding, including an NSF grant for virtualization research in heterogeneous memory hierarchies (2016–2019). His research outputs span over 74 publications, with notable contributions in EuroSys, IEEE Transactions, and conferences like PACT. Media coverage highlights his studies on cloud computing and collaborative mobile systems, such as parking assignment algorithms. Beyond technical contributions, Ding advises students in interdisciplinary projects, exemplified by collaborations with Applied Math majors on cloud computing challenges.

Emmanuelle PicardView profile

Professor

• History of Higher Education
• History of Academic Professions
• Assessment Systems in Education
• +4 more

Emmanuelle Picard is a Professor of Contemporary History at the École Normale Supérieure de Lyon (ENS de Lyon), affiliated with the UMR Triangle research unit since 2018. She directs the Laboratoire de l’Éducation (UAR 3773) and holds associate membership in the CIRST (Université du Québec à Montréal). Her research focuses on the history of higher education, academic professions, and assessment systems, with particular attention to institutional differentiation and comparative educational policy. Administratively, she has served as Director of Social Sciences at ENS de Lyon (2019–2022), Master’s program coordinator (2016–2019), and chair of the RESUP network since 2018. She co-leads the HELoïse network for academic databases and chairs the editorial board of Lectures . Her work bridges historical inquiry with contemporary educational challenges, as seen in her 2020 HDR on French academic professions and recent collaborations analyzing workforce dynamics in French and UK universities. Key contributions include studies on university governance, the evolution of academic evaluation systems, and the socio-historical dynamics of educational inequality. Her interdisciplinary approach integrates prosopography, archival research, and policy analysis, reflected in edited volumes like Examinations, Grades and Diplomas (2023) and articles in Comparative Education and Histoire de l’Éducation .