Find Academic Supervisors

• Chemistry
• Inorganic Chemistry
• Materials Chemistry
• +3 more

Stefanie Dehnen is a Professor at Karlsruhe Institute of Technology (KIT), focusing on multinary, non-oxidic cluster and network compounds with applications in inorganic and materials chemistry. Her group specializes in synthesizing precursor compounds with binary main group element units to develop materials with unique electronic and structural properties. Corresponding Member, Division of Mathematics and Natural Sciences (since 2024) Her research bridges fundamental studies of cluster architectures and practical applications in solid-state chemistry, including lithium superionic conductors and photonic materials. Key themes include aromaticity in heavy-metal clusters, structural expansion, and strain-induced rearrangements. Recent publications highlight her work on bismuth-based clusters, thorium-doped systems, and lithium-ion conductive materials, reflecting expertise in synthesizing complex inorganic structures. Gottfried Wilhelm Leibniz-Preis (DFG) ERC Advanced Grant Alfred-Stock-Gedächtnispreis (GDCh) Fellow of Chemistry Europe Alexander Todd-Hans Krebs Lectureship (RSC/GDCh)

• Entrepreneurship
• Sustainable Business
• International Business
• +3 more

Paulo Borges de Brito is a Lecturer in the Department of Management at Colorado State University's College of Business. He specializes in teaching courses on Entrepreneurship, Social and Sustainable Venturing, and International Business. Brito holds a B.S. in Economics from Presbyterian Mackenzie University (Brazil), an M.S. in Environmental Science from Universidade de São Paulo, and an M.S. in Agricultural and Resource Economics from Colorado State University. Prior to joining CSU, he founded the Brazilian chapter of a global conservation non-profit and contributed to award-winning books on sustainable development synergies. His research explores the intersection of business and sustainability, with emphasis on: Bioeconomy-driven business opportunities Agroecology and climate adaptation in smallholder farming Sustainable international trade frameworks Inclusive pedagogical approaches in business education Brito's recent publications (2018–2024) cluster around three themes: sustainable bioeconomy transitions, climate-resilient agriculture in developing regions, and innovative business education methods. Earlier work (2006–2014) focused on Brazilian organic farming certification, community-based environmental action, and water-efficient agriculture. He has received significant recognition including the 2023 CSU Best Teacher Award and designation as an Inclusive Excellence Fellow . Brito actively serves on university committees including the CSU Todos Santos Strategic Advisory Committee, Faculty Institute for Inclusive Excellence Advisory Committee, and as College of Business representative for UCC and Scholastic Standards.

Antoine DoucetView profile

Professor

• Information Retrieval
• Natural Language Processing
• Text Mining
• +7 more

Antoine Doucet is a Full Professor at the University of La Rochelle, where he teaches in the Computer Science department of the University Institute of Technology (IUT). He conducts his research at the Computer Science, Image and Interaction Laboratory (L3i) within the 'Images and Content' team, which he has led since 2015. He is also a member of the Franco-Vietnamese laboratory ICTLab and serves as Director of the ICT Department at the University of Science and Technology of Hanoi since 2016. His research focuses on information retrieval, natural language processing, text mining, and artificial intelligence, with emphasis on automatic analysis of text in all forms across languages. His work prioritizes generic methods that work across languages without relying on language-specific linguistic resources. This approach is particularly valuable for under-resourced languages and noisy texts from sources like social media or OCR output. As coordinator of the Horizon 2020 NewsEye project, he led efforts to improve access to European historical newspapers through semantic enrichment and advanced search capabilities. His research has practical applications in epidemic surveillance, document fraud detection, and historical content analysis. The NewsEye project involved 11 teams across Europe, including 3 national libraries and multiple research groups. Best paper award from IMIA Yearbook 2016 (among 1,272 candidates) Best paper award at HCI International with Ilona Nawrot Press coverage for ACL 2013 paper in major publications Recipient of French scientific excellence award (Prime d'Excellence Scientifique) Doucet actively supervises PhD and Master's students, with recent advisees including Chloé Artaud (Document fraud detection), Paul Martin (Photograph Time-Stamping), Ilona Nawrot (Temporal and Multilingual Text Analysis), and Gaël Lejeune (Multilingual Epidemic Surveillance). His research has been funded through multiple projects including ANR Digistory, AmeliOCR, PHC Nusantara, and USTH SWARMS. He has also coordinated significant European projects like NewsEye and Embeddia. At L3i, he leads a research group of approximately 40 persons focused on Images and Digital Content. His work bridges theoretical advances in multilingual text processing with practical applications in historical document analysis, epidemic surveillance, and document security.

• Computational Social Choice
• Algorithmic Game Theory
• Fairness in Machine Learning
• +3 more

Anson Kahng is an Assistant Professor in the Department of Computer Science and the Goergen Institute of Data Science at the University of Rochester. He previously held postdoctoral positions at the University of Toronto and completed his PhD at Carnegie Mellon University under the supervision of Ariel Procaccia, focusing on computational social choice. PhD, Computer Science, Carnegie Mellon University Undergraduate degree, Computer Science, Harvard College His research explores the intersection of computer science and democracy, developing frameworks like virtual democracy and liquid democracy while analyzing fairness in participatory budgeting and voting systems. He combines theoretical analysis with empirical methods, emphasizing interdisciplinary collaboration. Recent work includes advancements in ranked choice voting optimization, fairness metrics for elections, and structural analysis in cryo-electron tomography. He has published in top venues such as IJCAI, AAAI, NeurIPS, and ACM Transactions on Economics and Computation. NeurIPS 2019 Spotlight Presentation (top 2.5% of submissions) Kahng advises PhD students Alina Chadwick and Joe Saber, and has mentored multiple undergraduate researchers. He teaches courses on algorithmic game theory and computational statistics at the University of Rochester.

Yihan SunView profile

Assistant Professor

• Parallel Computing
• Algorithms
• Data Structures
• +12 more

Yihan Sun is an Assistant Professor at the University of California, Riverside (UCR) since January 2020. He earned his Ph.D. in Computer Science from Carnegie Mellon University (CMU) , advised by Guy Blelloch , and holds a Bachelor's degree in Computer Science from Tsinghua University . Research Interests: Yihan Sun focuses on the theory and practice of parallel computing , including Parallel algorithms and data structures Write-efficient algorithms for Non-Volatile Memory (NVM) Computational geometry (range trees, Delaunay triangulations) Graph algorithms (SSSP, SCC, cluster-based BFS) Concurrent and persistent data structures Multi-version concurrency control (MVCC) with garbage collection Applications in databases, transactional systems, and computational biology Recent Research Trends: His work on join-based parallel balanced trees has been foundational, supporting four balancing schemes (AVL, red-black, weight-balanced, treaps) and enabling efficient implementations in graph analytics, spatial queries, and dynamic programming. Recent publications focus on output-sensitive algorithms , scalable graph libraries (PASGAL) , and pedagogical approaches to teaching parallel algorithms. Teaching: He teaches CS260 (Parallel Algorithms) at UCR and has served as a guest lecturer for MIT 6.886 (Algorithm Engineering) and CMU 15-859 (Algorithms in the real world) . He also contributed to algorithm education through a tutorial at the ACM Symposium on Principles and Practice of Parallel Programming (PPoPP 2019) . Labs & Collaborations: Yihan is a core contributor to the PAM (Parallel Augmented Maps) library, which has been integrated into systems like Aspen (graph-streaming) and C-trees . He collaborates with teams at CMU-Parlay , PBBS , and Ligra , with his code available on Github for community feedback.

Julian ShunView profile

Associate Professor

• Parallel Computing
• High-Performance Computing
• Graph Analytics
• +7 more

Julian Shun is an Associate Professor at the Massachusetts Institute of Technology (MIT) in the Department of Electrical Engineering and Computer Science (EECS) and a principal investigator in the Computer Science and Artificial Intelligence Laboratory (CSAIL). Previously, he was a Miller Research Fellow at UC Berkeley and earned his Ph.D. from Carnegie Mellon University under Guy Blelloch. His research focuses on parallel and high-performance computing, with emphasis on graph analytics, spatial/graph clustering, and dynamic algorithms. He designs algorithms with theoretical guarantees and empirical efficiency, along with high-level programming frameworks to simplify parallel code development. His work spans cache-oblivious, external-memory, and streaming graph algorithms, addressing scalability and performance across diverse computational architectures. Julien's recent publications highlight advancements in parallel graph traversal, dynamic connectivity, and approximation algorithms for centrality metrics. His research also explores domain-specific languages like GraphIt for graph analytics and frameworks such as Julienne for work-efficient bucketing. Scientific Awards: Miller Research Fellow at UC Berkeley He has taught graduate-level courses at MIT, including 6.506 (Algorithm Engineering) and 6.886 (Graph Analytics), emphasizing theoretical foundations, experimental analysis, and open-ended research projects.

Christoph HammannView profile

Researcher

• New Testament Studies
• Pauline Theology
• Lukan Studies
• +7 more

Christoph Hammann is a researcher at the Department of New Testament Studies within the Faculty of Protestant Theology at the University of Münster, working under Professor Eve-Marie Becker's chair since August 2022. He is currently completing his habilitation on "Authority, Power, and Rule in the Lukan Double Work: Exegetical Investigations of Luke's Ascending Christology Against the Background of Greek-Roman Biography, Historiography, and Epic" (2022-present). His research spans multiple interdisciplinary areas at the intersection of biblical studies, ancient philosophy, and cultural history. Hammann's primary interests include Pauline theology and epistolography, the Lukan works in Greco-Roman cultural context, the relationship between natural science and theology in early Christianity, philosophy of the Imperial Period and Late Antiquity, conceptions of history in the New Testament, and the beginnings of Christianity in Rome. His academic background combines classical philology (specializing in Greek studies) with Protestant theology, enabling unique cross-disciplinary approaches to biblical texts. Hammann's publication record reveals a consistent engagement with how early Christian texts interacted with and transformed contemporary Greco-Roman discourses on topics like purity, authority, and cosmology. His work often examines the philosophical and medical contexts of biblical concepts, particularly in relation to heart metaphors, sacrificial practices, and Christological development. DAAD Congress Travel Grant (2023) Publication subsidy for dissertation (2019) PhD Prize from Philipps-Universität Marburg (2019) Multiple international research grants from Evangelisches Studienwerk Villigst (2015-2018) Fondation Hardt research grant (2017) Hammann actively contributes to academic life through teaching undergraduate and graduate courses in New Testament exegesis (including Greek language instruction), organizing conferences such as the upcoming Colloquium Biblicum Lovaniense LXXIV on The Corinthian Letters (2025), and co-editing scholarly volumes like "Opfer in Antiochien" (2023). He serves on multiple academic committees and is a member of several scholarly societies including the Society of Biblical Literature (since 2025) and the Münster School of Ancient Cultures (since 2023). His research group within the Excellence Cluster "Religion and Politics" focuses on ancient cultural contexts of early Christianity, with particular attention to the intersections between biblical texts and Greco-Roman philosophical, medical, and political discourses. Hammann also leads student excursions to Rome to study early Christian sites and Pauline contexts.

Gerald UrbanView profile

Professor

• Biomedical Microtechnology
• Sensorics
• Microsystem Technology
• +7 more

Prof. Dr. Gerald Urban is a distinguished Professor at the Institute for Microsystems Technology (IMTEK) within the Faculty of Engineering at the University of Freiburg, Germany. With over three decades of academic and research experience, he has established himself as a leading expert in biomedical microtechnology and sensor systems. His career spans prestigious institutions including the Vienna University of Technology and collaborations with major research centers worldwide. His educational journey includes: 1973: Graduated from Sigmund Freud Gymnasium in Vienna 1979: Completed studies in Technical Physics at Vienna University of Technology 1985: Earned Doctorate (Dr.-Ing.) with distinction (Summa cum Laude) from Vienna University of Technology 1994: Completed habilitation in Sensorics Prof. Urban's research focuses on the development and application of miniaturized integrated sensors for clinical and industrial applications. His work bridges the gap between fundamental materials science and practical medical devices, with particular emphasis on biomedical microtechnology , electrochemical biosensors , and organ-on-chip systems . His team has pioneered innovations in point-of-care diagnostics, therapeutic drug monitoring, and micro energy harvesting technologies. The research group maintains strong collaborations with clinical partners to ensure translational impact of their technological developments. Analysis of Prof. Urban's recent publications reveals a clear trajectory toward increasingly sophisticated multiplexed sensing platforms that integrate CRISPR-based diagnostics with electrochemical detection systems. His work demonstrates growing emphasis on point-of-care applications, with particular focus on making complex diagnostic capabilities accessible outside traditional laboratory settings. The integration of additive manufacturing techniques with sensor technology represents another significant trend in his recent work, enabling customized microreactor and organ-on-chip platforms. Among his notable scientific achievements: Stefan Schuy Prize for Biomedical Engineering (1990) AVL-List Prize (1993) Best Poster at Eurosensors (1993) Hoechst-Price (1994) Corresponding member of the Austrian Academy of Sciences (2010) EAMBES-Fellow (2018) Prof. Urban has successfully secured substantial research funding throughout his career, with accumulated third-party funding reaching approximately 5 million euros between 1986-1995. He has established multiple spin-off companies including Otto Sensorenfabrikationsgesellschaft (1985), Biosensor GnbR (1994), and Jobst Technologies GmbH (2002), demonstrating his commitment to translating research into practical applications. His leadership extends to major research initiatives including the excellence initiative "µMAT" and the graduate school "PolyMIC". At the University of Freiburg, Prof. Urban leads a vibrant research group within the Institute for Microsystems Technology, which forms part of the larger BrainLinks-BrainTools and BIOSS research clusters. His laboratory maintains state-of-the-art facilities for microsensor fabrication, including cleanroom access through the WebFab service center. The research environment benefits from strong connections with the Freiburg Material Research Center (FMF) and the Freiburg Institute for Advanced Studies (FRIAS), where he served as an Internal Fellow (2008-2010).

Michael J. CafarellaView profile

Associate Professor

• Databases
• Information Extraction
• Data Integration
• +6 more

Michael J. Cafarella is an Associate Professor in the Computer Science and Engineering department at the University of Michigan . His research focuses on databases, information extraction, data integration, and data mining, with applications in economics, social media analysis, and combating human trafficking. He leads the Software Systems Lab and Michigan Database Group . Scientific Awards NSF CAREER award Sloan Research Fellowship (2016) 2018 VLDB Ten-Year Best Paper award Research Impact : Cafarella co-founded the Hadoop open-source project and Lattice Data (acquired by Apple). His work on DeepDive and DARPA MEMEX was featured on 60 Minutes and in Scientific American . Funding from The Census Bureau, DARPA, Google, NSF, Yahoo!, General Electric, and Dow.

Selim YAZICIView profile

Professor

• Entrepreneurship
• Innovation Management
• Organizational Behavior
• +7 more

Prof. Selim YAZICI is a Professor at the Department of Business Administration, Faculty of Political Sciences, Istanbul University. He has been actively involved in academic and managerial roles since 1993, including multiple terms as Head of Department and Deputy Head of Department , and serves on ethics committees and academic boards. Education: PhD (1999) and Master's (1994) in Business Administration from Istanbul University; BSc (1992) in Mechanical Engineering from Yildiz Technical University. Research Interests span Entrepreneurship , FinTech , Business Ethics , Organizational Behavior , Project Management , and Healthcare Management , with a focus on cultural and cognitive factors influencing organizational resilience and technological adoption. Recent Publications highlight trends in FinTech ecosystems , organizational governance , and design thinking applications for business models. His studies often integrate cross-sectoral analysis, especially in healthcare and financial services. Thesis Advisory includes mentoring 18 doctoral and 21 non-thesis Master's students on topics ranging from project culture to entrepreneurial potential . He has contributed to Technopark research projects and scientific consultancies for institutions like TARSİM . International Collaborations include Erasmus lecturing at Universität Hamburg (2007) and conference presentations in Turkey, Sweden, and the USA.

Xi Kathy ZhouView profile

Associate Professor

• Biostatistics
• Cancer Prevention and Prognosis
• Bayesian Hierarchical Models
• +5 more

Xi Kathy Zhou is an Associate Professor of Population Health Sciences at Weill Cornell Medicine (WCM) and an Adjunct Associate Professor in the Department of Statistical and Data Science at Cornell University. Her work bridges statistical methodology and biomedical research, focusing on cancer prevention, diagnosis, and treatment. Her research spans Bayesian hierarchical models, variable selection, model averaging, predictive modeling, and clinical trial design. She develops computational tools for analyzing complex biomedical data, including omics datasets and clustered/longitudinal data, with applications in cancer biology and immunology. Dr. Zhou collaborates extensively with researchers at WCM and Memorial Sloan-Kettering Cancer Center (MSKCC). Her work has been funded by NIH, NCI, the Department of Defense, and private foundations.

• Complexity Science
• Urban Systems
• Urban Scaling Laws
• +7 more

Elsa Arcaute is a Professor of Complexity Science at the Centre for Advanced Spatial Analysis (CASA) at University College London. She is a physicist with expertise spanning mathematical physics, urban systems, and complexity science. Her work bridges theoretical physics with practical applications in urban planning and policy. Her educational background includes a PhD in Theoretical Physics from the University of Cambridge (2006) and a Masters in Mathematics (part III of the Mathematical Tripos). She began her career in theoretical physics with research on Clifford algebras applied to Penrose's twistors before transitioning to complex systems during a visit to Prof. Henrik Jensen at Imperial College London. Arcaute's research focuses on modeling urban systems through the lens of complexity science, with particular emphasis on urban scaling laws, hierarchical structures in cities, and the definition of city boundaries. She applies network theory, percolation theory, and multifractal methodologies to analyze urban infrastructure, socio-economic patterns, and spatial inequality. Her work often involves interdisciplinary collaboration with economists, geographers, and data scientists. Analysis of her recent publications reveals a strong focus on urban complexity, with significant contributions to understanding city hierarchies, commuting networks, knowledge spillovers, and the impact of digital platforms on urban systems. Her research demonstrates how complex systems theory can provide novel insights into urban dynamics, scaling phenomena, and spatial organization. Arcaute has been involved in several major research projects, including an EPSRC grant on Digital Economies, an ERC-funded project MECHANICITY (led by Prof. Michael Batty) focusing on morphology, energy, and climate change in cities, and a MacArthur-funded project on smart cities and policy. She serves as a Review Editor for Frontiers in Energy Systems and Policy and has contributed to numerous publications that have garnered significant attention across academic and policy circles. Her work has been referenced in policy sources, news outlets, and social media, demonstrating the real-world impact of her research.

Ayah ZiriklyView profile

Researcher

• Natural Language Processing
• Health Informatics
• Mental Health
• +5 more

Ayah Zirikly is an Assistant Research Scientist at the Center for Language and Speech Processing (CLSP) at Johns Hopkins University, specializing in Natural Language Processing applications for mental health and clinical informatics. Her work bridges computational linguistics with real-world healthcare challenges, particularly in suicide risk assessment and bias detection in medical documentation. Research Focus: Dr. Zirikly pioneers NLP solutions for mental health informatics, with landmark contributions including the UMD Reddit Suicidality Dataset for suicide risk assessment and NLP tools for Social Security Administration disability eligibility processes. Her expertise spans Arabic NLP (co-developer of MADAMIRA toolkit), transfer learning for low-resource settings, and analysis of stigmatizing language in clinical records. Recent work investigates social determinants of health through electronic health record analysis and develops frameworks for detecting AI dataset bias. Publication Trends: 2023-2025 publications reveal three dominant threads: (1) Suicide prevention via social media analysis and data warehouse modeling, (2) Linguistic bias detection in medical records with focus on race/gender disparities, and (3) Synthetic data generation for clinical communication. Her leadership in CLPsych workshops establishes her as a key contributor to clinical NLP benchmarking. Professional Background: Holds a PhD in Computer Science from George Washington University (Mona Diab's NLP lab) and completed postdoctoral training at the National Institutes of Health. Current research extends her NIH work on mobility/mental health status extraction for disability determination while addressing critical gaps in health equity through computational methods.

Qiwei YaoView profile

Professor

• Statistical Inference
• Time Series Analysis
• High-Dimensional Statistics
• +6 more

Qiwei Yao is a Professor of Statistics at the Department of Statistics, London School of Economics (LSE), where he maintains an active research program in statistical methodology and applications. His office is located in Columbia House, Room 7.16 at LSE's Houghton Street campus in London. Professor Yao's research focuses on statistical inference for complex time series, with particular expertise in high-dimensional time series, dynamic networks, spatio-temporal processes, functional time series, nonlinear time series, and high-frequency data. His work bridges theoretical statistics with practical applications, especially in financial econometrics. He has developed innovative methodologies for dimension reduction, factor modeling, and network analysis that have become influential in the field. His recent publications reveal a strong trend toward developing statistical methods for increasingly complex data structures, particularly focusing on high-dimensional and network-based time series. His work integrates machine learning techniques with traditional statistical approaches, as evidenced by papers on deep learning for Markov property testing and tensor decompositions for matrix time series. There's also a clear emphasis on privacy-preserving methods and differential privacy in network analysis. Professor Yao has secured substantial research funding through multiple EPSRC Programme Grants and Research Projects, including the EPSRC Programme Grant for 'Statistical Foundations for Detecting Anomalous Structure in Stream Settings (DASS)' and 'Network Stochastic Processes and Time Series (NeST)'. He also leads the EPSRC Research Project on 'Statistical Network Analysis: Model Selection, Differential Privacy, and Dynamic Structures' and has collaborated with industry partners like Andurand Capital Management on projects such as 'Forecasting Oil Prices Based on Quantitative Methods'. His research has significant applications across various domains, particularly in energy forecasting (electricity load prediction), financial modeling (volatility modeling, oil price forecasting), and ecological modeling (spatio-temporal population dynamics). Professor Yao maintains strong collaborative relationships with researchers across multiple institutions and disciplines.

• Multi-Phase Flow
• Turbulence
• Lagrangian Dynamics
• +3 more

Rohith Jayaram is a Postdoctoral Fellow in the Department of Chemical Engineering at the Norwegian University of Science and Technology (NTNU), specializing in multi-phase flows and turbulence dynamics. His research focuses on particle-laden flows, bubble-turbulence interactions, and computational fluid dynamics. Education: PhD in Particle suspensions from NTNU MSc in Aerospace Mechanics from ISAE-SUPAERO, France BEng in Mechanical Engineering from BMS College of Engineering, India His work investigates Lagrangian dynamics of solid particles and spheroids in evolving Taylor-Green vortex flows, with recent emphasis on bubble-turbulence interactions. He develops numerical algorithms for flow simulations and contributes to turbulence modeling in both 2D and 3D systems. Research trends include computational modeling of multi-phase flows, DNS validation of particle behavior in unsteady vortices, and extension to spheroid alignment dynamics. Publications span leading journals like Physics of Fluids and Physical Review E . Scientific Awards: Selected as Featured Article in Physics of Fluids (2020) Outreach activities include conference lectures at the European Fluid Dynamics Conference (2024) and European Turbulence Conference (2019). Contact: 238 Kjemiblokk 5 Gløshaugen, Trondheim; rohith.jayaram@ntnu.no