Find Academic Supervisors

• Artificial Intelligence and Data Science
• Decision Making & Optimization
• Information Systems & Technology
• +5 more

Dan MA is an Associate Professor of Information Systems at the School of Computing and Information Systems (SCIS), Singapore Management University (SMU). He holds a PhD from the University of Rochester (2006). His research focuses on Artificial Intelligence, Data Science, Cybersecurity, and Digital Transformation, with particular emphasis on software reliability, payment systems design, and cloud computing strategies. He advises PhD candidates in SMU-ZJU and SJTU-SMU DBA programs. Research interests include optimizing retail payment systems, analyzing bug bounty programs for software security, and evaluating cloud computing adoption readiness. His work bridges economic theory and technology management, addressing challenges in SaaS models, mobile payment ecosystems, and real-time financial infrastructure. Recent articles highlight trends in competitive content platform strategies, cybersecurity through crowd-sourced bug bounty programs, and the design of innovative payment systems. His contributions span over 40 peer-reviewed publications since 2002, with notable focus areas in fintech innovation and IT-enabled service economies. Teaching responsibilities include courses on advanced IS management and technology strategy. He has supervised three doctoral students and maintains active collaborations in cybersecurity and digital transformation research.

• Risk Analysis
• Structural Reliability
• Civil Engineering
• +5 more

Prof. Michael Beer is the Executive Director of the Institute for Risk and Reliability at Leibniz University Hannover. He holds a professorship in the Faculty of Civil Engineering and Geodetic Science and serves on the Faculty Council. His research focuses on structural reliability, uncertainty quantification, and risk analysis with applications in civil engineering systems. He leads the Collaborative Research Centres (CRC) 871 and 1463, addressing regeneration of complex capital goods and offshore megastructure design, respectively. His work integrates machine learning, Bayesian methods, and stochastic modeling to address challenges in seismic vulnerability, geotechnical systems, and reliability-based design optimization. Beer is also a member of the Leibniz Research Centre Energy 2050, emphasizing interdisciplinary energy systems research. Beer's research interests span probabilistic modeling of dynamic systems, uncertainty propagation in engineering systems, and data-driven methods for reliability assessment. His recent publications emphasize computational methods for reliability, machine learning applications, and seismic risk analysis. He actively contributes to academic leadership roles, including editorial boards and research center management.

Sebastian HeeseView profile

Professor

• Supply Chain Management
• Operations Management
• Healthcare Operations
• +3 more

Sebastian Heese is a Professor of Supply Chain Management at NC State University's Poole College of Management , where he serves as Interim Department Head of Business Management . Previously, he held the SGL Carbon Endowed Chair at EBS Business School, Germany and was a faculty member at Indiana University's Kelley School. Ph.D. from University of North Carolina at Chapel Hill His research examines supply chain efficiency , decentralized operations , and healthcare workflow integration . He developed an operational framework for clinical adoption of diagnostic tests, published in Production and Operations Management (2021), and investigates how social media backlash affects corporate financials (2021 studies). Current work includes analyzing automotive clusters in India (2025) and supplier bankruptcy risks (2023). While his 15 most recent articles show diverse applications in pharmaceuticals , medical diagnostics , pricing strategy , and conflict minerals , the consistent theme is supply chain resilience across industries. His 2025 work on automotive clusters and 2023 studies on surge pricing demonstrate cross-sector adaptability. Scientific Recognition Owens Distinguished Professorship of Supply Chain Management Heese actively bridges academic research and practical implementation , addressing challenges in stock market reactions to supply chain issues (2021 studies) and environmental regulation impacts on business (2024). His work emphasizes system-level analysis and long-term recovery strategies post-disruption.

Anne-Marie KermarrecView profile

Researcher

• Gossip-based networking
• P2P systems
• Social Networks
• +6 more

Anne-Marie Kermarrec is a Senior Researcher at INRIA (France), with prior roles at Microsoft Research (UK) and the University of Rennes 1 (France). Her work focuses on decentralized systems, including gossip protocols, peer-to-peer networks, social networks, and collaborative filtering. PhD in Computer Science (Rennes, 1996) Her research spans epidemic algorithms, content-based search in large-scale networks, and scalable group communication. She pioneered gossip-based peer sampling and multicast infrastructures like Scribe and SplitStream. Her publications highlight applications in decentralized news recommendation (AllYours), network coding, and privacy-preserving social platforms (Gossple). Key article trends include gossip protocols , P2P systems , social network analysis , decentralized storage , and collaborative filtering . She received the Michel Monpetit Award (2011), ERC Starting Grant (GOSSPLE, 2008-2013), and an ICDCS Best Paper Award (2010). Michel Monpetit Award (2011) ERC PoC AllYours (2013) ERC Starting Grant GOSSPLE (2008-2013) ICDCS Best Paper Award (2010) Kermarrec led program committees for major conferences (e.g., EuroSys, Middleware) and chaired the ACM Software System Award. Her software contributions include AllYours (news recommender), GossipLib (gossip library), and GossipPeer (P2P platform maintenance).

Frank van der Duijn SchoutenView profile

Visiting Professor

• Operations Research
• Applied Mathematics
• Statistical Modeling
• +3 more

Frank van der Duijn Schouten is a Visiting Professor at the Department of Econometrics and Operations Research, Vrije Universiteit. He previously served as Rector Magnificus at Vrije Universiteit (2013-2015) and held leadership roles at Tilburg University, including Rector Magnificus and Dean (1987-2013). He obtained his PhD in Operations Research from Leiden University in 1979. His research focuses on stochastic processes, particularly nonhomogeneous Poisson processes, power law models, and applications in reliability engineering and quality control. He has published extensively on topics like statistical modeling in group testing and operational research applications. His work combines theoretical advancements in statistical methodologies with practical applications in quality control, epidemiological modeling, and system optimization. Despite no publicly listed scientific awards, his contributions to academic leadership and operations research are notable. Frank has advised on research projects involving stochastic systems and testing models, though specific student/advisor relationships are not documented here. His research has implications for improving efficiency in healthcare diagnostics, manufacturing quality systems, and public health monitoring frameworks.

Dimitrios DiochnosView profile

Assistant Professor

• Supervised Learning
• Semi-Supervised Learning
• Adversarial Learning
• +4 more

Dr. Dimitrios Diochnos is an Assistant Professor in the School of Computer Science at the University of Oklahoma (OU) . His research focuses on theoretical and practical aspects of machine learning, including adversarial learning, semi-supervised learning, and imbalanced data classification. Prior to OU, he was a Hobby Postdoctoral Research Fellow at the University of Virginia and a Research Associate at the University of Edinburgh. He holds a PhD in Mathematics from the University of Illinois at Chicago, an MS in Mathematics from the University of Athens, and a BS in Informatics and Telecommunications from the University of Athens. Research Interests: Dr. Diochnos works on foundational aspects of machine learning, particularly under adversarial conditions. His current projects include developing semi-supervised learning techniques, analyzing online/streaming learning algorithms, and exploring theoretical guarantees for imbalanced classification. He is also involved in the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES), focusing on trustworthy AI applications in environmental science. Awards and Recognition: He has received NeurIPS Top Reviewer awards (2023, 2019), NSF reviewer status, and the Teaching Award (2009). His postdoctoral fellowship at UVA was supported by the Hobby Endowment. He has held fellowships from the Zossima Brothers Foundation and the University of Illinois at Chicago. Service and Editorial Work: Dr. Diochnos serves as Managing Associate Editor of the Annals of Mathematics and Artificial Intelligence and has been a program committee member for major conferences like NeurIPS, AAAI, and IJCAI. He has organized events such as the Symposium on AI & ML at OU and served on the Scientific Committee for the International Olympiad in Informatics. Grants and Collaborations: His work is supported by NSF grants, including leadership in AI2ES. He collaborates with researchers in meteorology, oceanography, and climate science to address challenges in trustworthy AI for environmental systems. Labs and Affiliations: Dr. Diochnos is affiliated with the OU School of Computer Science and contributes to interdisciplinary initiatives like AI2ES. His research lab focuses on advancing machine learning theory with practical applications in adversarial robustness and environmental forecasting.

Tadeusz WięckowskiView profile

Professor

• Electromagnetic Compatibility
• Antenna Theory
• Radio Wave Propagation
• +6 more

Tadeusz Więckowski is a Professor and Head of the Department of Telecommunications and Teleinformatics at the Faculty of Information and Communication Technology, Wrocław University of Science and Technology. His work bridges advanced electromagnetic theory with practical telecommunications systems. His research interests include: Electromagnetic Compatibility (EMC) of devices and systems Antenna theory and design Radio wave propagation Radiocommunication systems Gyrotron and microwave source technologies Testing methodologies for EMC infrastructure The recent publications highlight a strong focus on high-frequency electromagnetic systems, particularly gyrotrons for spectroscopy and electromagnetic compatibility testing. His work spans both theoretical modeling and experimental validation, with applications in telecommunications, broadcasting (e.g., DAB), and scientific instrumentation. There is also engagement with modern topics such as IoT testing, intrusion detection, and neural networks for document verification, indicating interdisciplinary reach. Tadeusz Więckowski leads the Department of Telecommunications and Teleinformatics, which is involved in the operation of the Laboratory for Electromagnetic Compatibility. This infrastructure supports advanced research in signal integrity and system compatibility.

Özkan ErgeneView profile

Associate Professor

• Mathematics Education
• Prospective Mathematics Teacher Education
• Problem Solving and Problem Posing
• +12 more

Özkan Ergene is an Associate Professor in the Department of Mathematics and Science Education at Sakarya University Faculty of Education . He has been actively contributing to the field of mathematics education since 2015 and currently serves as the Head of the Department of Mathematics Education and Deputy Head of the Department of Mathematics and Science Education. His academic work spans teaching, research, editorial duties, and leadership in academic organizations. Education: Doctorate in Mathematics Teaching, Marmara University Institute of Educational Sciences, 2019 Master's in Mathematics Teaching, Marmara University Institute of Educational Sciences, 2014 Bachelor's in Mathematics Teaching, Marmara University Atatürk Faculty of Education, 2012 (Top student) His research interests center on mathematics education , particularly prospective mathematics teacher education , problem solving and posing , mathematical modeling , and measurement and evaluation . He also explores the integration of artificial intelligence and innovative methods like origami and ethnomathematics in teaching. His recent publications reflect a strong focus on conceptual understanding in calculus, AI in education, and teacher/student perceptions. The analysis of his recent articles reveals a consistent trend in investigating mathematical thinking processes , especially in areas like infinite sets , integrals , and problem posing . He frequently employs qualitative and instrument development methodologies, often focusing on pre-service teachers and secondary students . The integration of technology , particularly AI tools like ChatGPT, is an emerging and prominent theme in his latest work. Scientific Awards: TUBİTAK_2211 Yurt İçi Lisansüstü Burs Programı Doktora Bursiyerliği TUBİTAK_2211 Yurt İçi Lisansüstü Burs Programı Yüksek Lisans Bursiyerliği He actively supervises graduate students, with several ongoing and completed master’s theses under his guidance, such as those on the flipped classroom model and mathematical modeling. He has served as a consultant for TÜBİTAK projects and has been involved in numerous research grants, demonstrating his role in securing and managing academic funding. His editorial contributions include peer review for high-impact journals like Education and Information Technologies , Journal of Pedagogical Research , and International Journal of Science and Mathematics Education . He is a member of several academic communities, including the European Society for Research in Mathematics Education (ERME) and the British Society for Research into Learning Mathematics . He has organized and moderated sessions at international conferences like ERPA Congress and UFBMEK, and he leads the Mathematics Education Community at his university, highlighting his active role in fostering academic collaboration.

• Information Systems
• Design Methodologies
• Product and Systems Design Engineering
• +7 more

Thomas Spyrou is an Assistant Professor in the Department of Product and Systems Design Engineering at the University of the Aegean. He holds a Physics degree from the National and Kapodistrian University of Athens and a PhD in Decision Support Systems - Artificial Intelligence from the University of the Aegean. His research focuses on Information Systems, Design Methodologies, and Sustainability, with an emphasis on Decision Support Systems, Simulation, and Cybernetics. Key affiliations include the Department of Product and Systems Design Engineering at the University of the Aegean, where he has contributed to curricula development and interdisciplinary projects. His work spans design theory, digital tools for art and sustainability, and systems thinking applied to creative processes. Research interests include Design Support Systems, Biomimetic Service Design, and the integration of tacit knowledge into design frameworks. His recent projects involve tools like DDArtS for street art creation and Spyractable for tangible user interfaces. Over 50 publications highlight his contributions to design, technology, and cybersecurity.

• Computer Networking
• TCP/IP Protocol Architecture
• Data Center Networks
• +6 more

Douglas Comer is a distinguished academic and researcher in computer science and electrical engineering at Purdue University, affiliated with the School of Electrical and Computer Engineering. He holds the position of Distinguished Professor, reflecting his significant contributions to the field. His primary research interests include computer networking, TCP/IP protocols, software-defined networking (SDN), cloud computing architectures, data center networks, and network security. Comer is also recognized for his influential textbooks on computer networking and operating systems, which are widely used in academic curricula globally. Comer's academic contributions span decades, with a focus on foundational networking principles and practical implementations. His work on DCnet, an innovative data center network architecture, and the development of SDN frameworks like Osdf and Umbrella highlight his expertise in scalable and resilient network systems. He has also explored emerging areas such as space-terrestrial integrated networks and IoT protocol emulation through projects like WIST. His research emphasizes bridging theoretical concepts with real-world applications, evident in his experimental studies on network simulation reliability and packet delivery resilience. Comer's publications consistently address challenges in network architecture, security, and performance, making him a pivotal figure in both academia and industry. Comer's academic leadership includes contributions to institutional awards and recognition at Purdue University, though specific honors are not detailed in the provided text. His teaching and research labs focus on hands-on networking projects and network processor design, as seen in courses like Network Systems Design (CS490N). He has advised numerous students through his academic roles, though specific advisee names are not listed here. His work has been supported by grants focused on next-generation network architectures and cloud computing infrastructure advancements.

• Energy Systems
• Electricity Markets
• Energy Storage
• +12 more

Ramteen Sioshansi is a Professor in the Department of Engineering and Public Policy, the Department of Electrical and Computer Engineering, and Heinz College at Carnegie Mellon University, where he also serves as Associate Department Head for Graduate Affairs and Director of the Carnegie Mellon Electricity Industry Center. He is additionally an Adjunct Professor at The Ohio State University’s Department of Integrated Systems Engineering. His work bridges engineering, economics, and policy with a focus on energy systems and market design. His research interests include energy storage, electricity market design, renewable integration, decarbonization, grid resilience, and energy justice. He employs advanced optimization and modeling techniques to analyze how energy systems can be operated and regulated more efficiently and equitably. His work often addresses the economic and policy challenges of integrating low-carbon technologies and distributed energy resources. Ramteen's recent publications highlight a strong trend in analyzing the role of energy storage in providing multiple grid services, reforming market designs to accommodate long-duration storage, and ensuring equitable access to resilient energy. His work spans technical modeling, economic analysis, and policy implications, frequently appearing in high-impact journals such as Current Sustainable/Renewable Energy Reports and The Energy Journal . Energy Justice Through Energy Storage Long-Duration Energy Storage (LDES) Policy Electric Vehicle Integration Demand Flexibility and Aggregators Hydrogen and Carbon Removal Economics Small Modular Reactors and Nuclear Policy Ramteen has received recognition as a top researcher in energy and energy storage domains. He actively contributes to the academic community through INFORMS, particularly in the Energy, Natural Resources, and the Environment (ENRE) section, and encourages nominations for prestigious awards like the Harold Hotelling Medal. He advises graduate students, including recent PhD graduate Dr. Hyeong Jun Kim and former student Joe Duggan. His research is supported by collaborations across academia, national labs (e.g., Argonne), and industry. He frequently engages with media on topics such as natural gas supply risks, EV integration, and the future of nuclear energy. Ramteen leads the Carnegie Mellon Electricity Industry Center, a hub for interdisciplinary research on electricity markets and policy. He is also a Faculty Affiliate at the Wilton E. Scott Institute for Energy Innovation, where he contributes to CMU’s broader energy innovation ecosystem.

Paul J. SharekView profile

Professor

• Pediatric Quality of Care
• Patient Safety
• Healthcare Quality Improvement
• +3 more

Paul J. Sharek is a Professor of Pediatrics at Stanford University School of Medicine, serving as Medical Director of the LPCH Center for Quality and Clinical Effectiveness and Chief Clinical Patient Safety Officer at Lucile Packard Children’s Hospital Stanford. He holds roles in quality improvement leadership, including directing the California Perinatal Quality of Care Collaborative and serving on national committees like the Institute for Healthcare Improvement (IHI). Education: MD from Columbia University Medical School, residency and chief residency in Pediatrics at UCSF, MPH from UC Berkeley, and a fellowship in health services research at Stanford. Research focuses on pediatric patient safety, translating high reliability organization theory into healthcare, and design thinking for quality improvement. He has published extensively on medication safety, adverse events, and hospital quality interventions. Awarded the Paul V. Miles Fellow in Quality Improvement (2013) for contributions to pediatric healthcare quality. Advises internationally, including at Great Ormond Street Hospital and The Hospital for Sick Kids.

Rüdiger KapitzaView profile

Professor

• Systems Software
• Trusted Execution Environments
• Byzantine Fault Tolerance
• +5 more

Prof. Dr.-Ing. Rüdiger Kapitza serves as a Professor and Chair of Computer Science 4 (Systems Software) at Friedrich Alexander University Erlangen-Nuremberg (FAU). His extensive research portfolio spans trusted execution environments, Byzantine fault tolerance, blockchain technology, and secure systems. Kapitza actively contributes to the academic community through program committee roles for major conferences including OSDI, Middleware, EuroSys, and DSN. His research interests focus on creating secure, reliable systems through the integration of hardware security features with distributed systems. Kapitza investigates how trusted computing can enhance system security while maintaining performance, particularly for critical applications. His work bridges theoretical foundations with practical implementations across domains including cloud infrastructure, edge computing, and transportation systems. Analysis of his recent publications reveals consistent innovation in trusted execution environments, distributed consensus protocols, and secure virtualization. His research demonstrates a clear trajectory from early work on adaptive services to current focus on hardware-assisted security solutions. Key themes include making distributed systems more robust through trusted components, optimizing energy efficiency in heterogeneous systems, and developing practical security solutions for real-world applications. Prof. Kapitza's standing in the systems research community is evidenced by his service on program committees for top-tier conferences. His work has been published in prestigious venues including OSDI, EuroSys, Middleware, and DSN, reflecting significant impact in both academic and industrial contexts. He leads the Systems Software research group at FAU, mentoring students and collaborating with researchers worldwide. The group addresses fundamental challenges in systems security, reliability, and performance, with applications ranging from drone data recording to railway systems and secure cloud services. His team develops practical tools and frameworks that advance the state of the art in systems research.

Toby MurrayView profile

Professor

• Cybersecurity
• Formal Methods
• Secure Systems Engineering
• +5 more

Toby Murray is a Professor in the School of Computing and Information Systems at the University of Melbourne, where he serves as Director of the Defence Science Institute and Co-Lead of the Computer Science Research Group. His work bridges formal methods, cybersecurity, and practical system security, with significant contributions to verified security and vulnerability detection. Murray's research focuses on building highly secure computing systems cost-effectively, with expertise in formal verification, information flow security, and vulnerability detection. His current research projects include Verisimilar (Verified, Secure Machine Learning), EDEFuzz (Detecting excessive data exposure in web applications), COVERN (Proving information flow security of concurrent programs), and Time Protection (Proving timing channel freedom for seL4). His work combines theoretical rigor with practical implementation, resulting in multiple open-source tools including SecC, Legion, and Underflow. Murray's recent publications demonstrate a consistent focus on verified security properties across diverse domains, from neural networks to concurrent systems. His work often bridges the gap between formal methods and practical security concerns, with increasing attention to machine learning security and policy implications of technical security measures. His publications span top venues in security, formal methods, and software engineering. Distinguished Paper Award at ICSE 2024 for EDEFuzz work on detecting excessive data exposure in web applications Extensive media commentary on cybersecurity issues including CrowdStrike outage analysis and social media regulation Regular contributions to The Conversation and Pursuit on cybersecurity policy matters Murray has advised numerous PhD students to completion, including Lianglu Pan (EDEFuzz), Zhiyuan Zhang, Mo Zhang, and Renlord Yang. He currently supervises multiple PhD students working on security verification, machine learning security, and web application security. His service includes being Program Chair for CSF'25, Associate Editor for IEEE Security & Privacy and ACM TOPS, and membership in IFIP's WG 1.7 and WG 2.3. His research group has developed multiple significant software tools including SecC (Verified Security for Concurrent C Programs), Legion (Principled Automatic Test Case Generation), and Underflow (Compositional Vulnerability Detection for C Programs), all available under open source licenses. Murray's work often involves discovering and reporting bugs in security analysis tools during his research, demonstrating the practical impact of his verification approaches.

• Resilience Engineering
• Socio-Hydrology
• Sustainable Water Resources Management
• +4 more

David Yu serves as Assistant Professor of Civil Engineering at Purdue University's College of Engineering with a joint appointment in Political Science, joining the faculty in 2015. His interdisciplinary work bridges engineering and social sciences to address sustainability challenges in complex human-environment systems. His academic background includes: B.ASc. in Engineering Science from Simon Fraser University M.P.P. from Lee Kuan Yew School of Public Policy, National University of Singapore Ph.D. in Sustainability from Arizona State University's School of Sustainability Dr. Yu's research centers on resilience of social-ecological-technological systems facing emergent shocks, examining how biophysical contexts and institutional arrangements interact to shape sustainable community development across scales. He integrates systems thinking, collective action theory, and human behavior analysis through mathematical modeling, case studies, and behavioral experiments. His work particularly focuses on water governance, infrastructure resilience, and climate adaptation. Analysis of his 15 most recent publications reveals dominant themes in socio-hydrology and coupled human-water systems, with increasing integration of AI methodologies like large language models for infrastructure management. His research spans theoretical modeling to field experiments, consistently addressing institutional design challenges in water resource systems while emphasizing interdisciplinary approaches to sustainability. No scientific awards were specified in the source materials. While specific advisees aren't listed, his experimental methodologies suggest active graduate student mentorship. His publication record indicates substantial grant-funded research in resilience engineering and socio-hydrology, though specific grants aren't documented. Research infrastructure details are unspecified, though his methodological diversity implies collaboration across engineering and social science laboratories.