Find Academic Supervisors

Age ChapmanView profile

Professor

• Data Provenance
• Decentralized Systems
• Machine Learning Ethics
• +1 more

Age Chapman is Professor of Computer Science at the University of Southampton. She leads research in data provenance, decentralized systems, and ethical AI through projects like ESPRESSO focused on secure personal data search. Her work bridges computer science with healthcare, heritage preservation, and social justice applications. Research interests include: privacy-preserving data architectures, algorithmic fairness in healthcare, and provenance tracking for AI systems. She directs PhD research across these domains and collaborates with the Alan Turing Institute and healthcare organizations. Publications demonstrate strong focus on decentralized data management (80% of recent papers) with growing emphasis on AI ethics. Awards include the SIGMOD Test of Time Award for seminal provenance research. Current grants support work on sovereign data ecosystems and healthcare AI fairness. She leads the Digital Health and Biomedical Engineering research group and collaborates internationally through the Alan Turing Institute and European partnerships. Manages labs exploring data trust architectures and healthcare AI systems.

• Database Management
• Spatial-Textual Data Processing
• Heterogeneous Data Usability
• +6 more

Professor Zhifeng Bao is a faculty member at RMIT University's School of Computing Technologies. His research focuses on enhancing data usability across heterogeneous domains, including structured, unstructured, and spatial-temporal data. His work spans database management, keyword search optimization, social network analysis, and spatio-textual data processing. He coordinates the course COSC1169: Intranet and Internet Data Engineering and supervises PhD/Masters students in projects such as trajectory data processing, data asset valuation, and edge computing optimization. Research interests emphasize improving data accessibility and efficiency through methodologies like query relaxation, visual analytics, and provenance tracking. His recent projects include cost-effective edge node placement, traffic accident risk prediction, and differentially private federated learning. Teaching and supervision activities highlight a commitment to bridging theory and practical data engineering challenges.

Cédric G. FichotView profile

Associate Professor

• Marine Biogeochemistry
• Remote Sensing
• Aquatic Optics
• +3 more

Cédric G. Fichot is an Associate Professor in the Department of Earth and Environment at Boston University. His research focuses on estuarine and coastal biogeochemistry, integrating marine optics, remote sensing, and environmental chemistry to study interactions between terrestrial and marine environments under climate and human impacts. His work emphasizes interdisciplinary approaches combining field studies, laboratory analyses, and modeling. Education: Ph.D., Marine Science, University of South Carolina; M.S., Oceanography, Dalhousie University. Research Themes: Aquatic photochemistry and CDOM photobleaching Remote sensing of water quality using UV-visible spectroscopy Cycling of terrigenous organic carbon along land-ocean interfaces Suspended sediment dynamics in deltas and wetlands Seagrass habitat suitability modeling Grants include NASA-funded projects on water quality (Grant #80NSSC18K0344) and Delta-X (NASA EVS-3 Program, #NNH17ZDA001N-EVS3). His Fichot Lab at BU develops cutting-edge techniques to model land-ocean interactions and assess environmental vulnerability.

Adrian ParkerView profile

Professor

• Quaternary Science
• Geoarchaeology
• Geomorphology
• +7 more

Adrian Parker is a Professor of Geography at Oxford Brookes University's School of Law and Social Sciences. He holds degrees including a DPhil from the University of Oxford. His research focuses on Quaternary science, geoarchaeology, and palaeoecology across the Middle East, North Africa, Southern Africa, and southern England. Key areas include multi-proxy environmental reconstruction using phytoliths, pollen, and geochemistry, with emphasis on understanding human-environment interactions during critical climatic transitions. Dr. Parker leads the Human Origins and Palaeo Environments (HOPE) group within the Centre for Environment and Society (CES). His fieldwork spans UAE, Saudi Arabia, Yemen, and Lesotho, addressing topics like Holocene socio-ecological systems, Neolithic settlement patterns, and climate change impacts. Recent projects include a £41,900 Ras al-Khaimah-funded geoheritage study and a £1,563 University of Michigan collaboration on phytolith analysis. He teaches modules on Quaternary Environmental Change and Arid Zone Environments. Professional accolades include Fellowships from the Society of Antiquaries, Royal Geographical Society, Royal Anthropological Institute, and Higher Education Academy. His advisory work includes mentoring two active PhD students: Sophie Edwards (hominoid craniodental morphology) and Kira Raith (Quaternary climate-landscape dynamics). Publications span over 40 peer-reviewed articles in journals like Quaternary Science Reviews , Scientific Reports , and Antiquity , with a focus on integrating geological and archaeological evidence to reconstruct past environments and human adaptations. His research bridges archaeology, geology, and environmental science, emphasizing interdisciplinary approaches to understanding long-term socio-ecological systems.

Willy ZwaenepoelView profile

Professor

• Operating Systems
• Distributed Systems
• Database Replication
• +4 more

Willy Zwaenepoel is a Professor and Dean of the Faculty of Engineering at the University of Sydney. He holds a B.S. from the University of Gent and M.S./Ph.D. from Stanford University. Previously, he served as Dean of the School of Computer and Communication Sciences at EPFL and was a faculty member at Rice University. His expertise spans operating systems, distributed systems, and high-performance computing. Education: B.S., University of Ghent, Belgium (1979) M.S., Stanford University (1980) Ph.D., Stanford University (1984) Research Interests: Dr. Zwaenepoel focuses on distributed systems, operating systems, and their applications in database replication, virtual machine performance, and software update mechanisms. His work includes foundational contributions to distributed shared memory (e.g., Treadmarks) and startups like iMimic Networking. Awards: ACM Fellow (2000) IEEE Fellow (1998) Fellow of the Australian Academy of Technical Sciences and Engineering (2020) Recipient of the IEEE Tsutomu Kanai Award (2007) Key Contributions: His research addresses challenges in distributed systems performance, such as latency reduction in key-value stores and efficient graph processing. Current projects explore I/O optimization in virtualized environments and causal consistency for geo-replicated systems. Students/Advising: Advises Ph.D. students and postdocs, including William in database replication. His mentorship led to the Rice University Teaching Award (2000).

Agostino CortesiView profile

Professor

• Software Engineering
• Static Analysis
• Cybersecurity
• +5 more

Agostino Cortesi is a Full Professor at Ca' Foscari University of Venice , affiliated with the Department of Environmental Sciences, Informatics and Statistics. He serves as Rector's Delegate for Research Quality Assessment and Deputy Coordinator of the Scientific Committee for the Innovation Ecosystem Project. His academic career includes a PhD in Applied Mathematics and Informatics from the University of Padova (1992), a postdoctoral fellowship at Brown University, and visiting professor roles at institutions such as the University of Illinois and École Normale Supérieure Paris. Research interests focus on software engineering , static analysis , security applications , and abstract interpretation . He has pioneered techniques for formal verification of software systems and explored cybersecurity in e-Government and robotics. His work spans over 200 publications in top journals and conferences (e.g., ACM TOPLAS, IEEE TSE, POPL, PLDI). Key contributions include advancements in abstract domains for behavioral property verification and security-oriented analysis frameworks. He has held leadership roles including Vice-Rector at Ca' Foscari, Dean of Computer Science programs, and Chair of the Department of Computer Science. Cortesi coordinates EU Horizon 2020 projects (e.g., Families_Share €1.6M) and regional initiatives like CEVID (€360K). He founded Factors , a university spin-off focused on robotic systems verification, which won the 2020 Veneto SmartCup ICT Prize. Education: PhD in Applied Mathematics and Informatics (1992, University of Padova) Editorial Roles: Co-Editor-in-Chief of Springer’s 'Services and Business Process Reengineering', and member of editorial boards for 'Computer Languages' and others Grants: Over €3M in EU and regional funding for projects in cybersecurity, Industry 4.0, and digital innovation Teaching includes courses on Software Correctness , Data Programming , and Computer Networks across Computer Science and Management programs. His research lab actively engages in industrial partnerships with Cisco, Leonardo, and AGID (Italy’s Digital Agency).

Marnie CampbellView profile

Professor

• Marine Biosecurity
• Invasive Species Management
• Environmental Policy
• +3 more

Professor Marnie Campbell serves as the Executive Dean of the School of Science at Edith Cowan University (ECU), overseeing disciplines including Biology, Chemistry, Computing, Cyber Security, and Mathematics. She leads four research centers: the Centre for Artificial Intelligence and Machine Learning, the Centre for Marine Ecosystems Research, the Conservation and Biodiversity Research Centre, and the Centre for Securing Digital Futures. Her academic journey includes a BSc(Hons) and PhD from Murdoch University (2000). Marnie’s career spans 18 years in higher education, with 14 years in leadership roles, including Head of the School of Life and Environmental Sciences at Deakin University. She balances active research with policy translation, emphasizing stakeholder collaboration to address environmental challenges. With 12 years in non-academic roles (government, consultancy, CSIRO), she applies cross-sectoral insights to academic leadership. Her research focuses on marine biosecurity, invasive species management, and environmental policy. Notable contributions include frameworks integrating social, cultural, and ecological values in biosecurity and strategies to mitigate marine debris impacts. She has pioneered educational initiatives aligning academic programs with industry/community needs. Marnie’s honors include the 2007 Peter Morris Prize for maritime biosecurity contributions and a Queensland Smart Futures Fellowship (2012–2015). She advises international organizations like the UN and has led projects in the Galapagos Islands and Palau. Her work emphasizes bridging science and policy to address global challenges like biodiversity loss and climate change. Her leadership extends to strategic initiatives like ECU’s Centre for People, Place & Planet. She advocates for innovative education and adaptive governance models to prepare future environmental leaders. Current efforts focus on AI applications in ecological research and securing digital futures amid emerging threats.

Niko SiltalaView profile

Lecturer

• Production System Design
• Robotics
• Manufacturing Automation
• +3 more

Niko Siltala is a University Instructor at Tampere University's Department of Automation Technology and Mechanical Engineering. He holds a Doctor of Science (Technology) in Mechanical Engineering (2016) and a Master of Science (Technology) in Automation Engineering (2001). His research focuses on production system design, reconfiguration, robotics, and virtual reality applications in safety training. He has contributed to the development of semantic rules for capability matchmaking, which supports rapid system design and reconfiguration. Key research areas include: Manufacturing automation and system adaptability Human-robot collaboration and safety protocols Virtual reality-based training solutions Formal resource descriptions for modular systems His work aligns with UN Sustainable Development Goals, particularly in advancing quality education (SDG 4) through innovative robotics education tools. He has received the Distinguished Committee Service Award (2004) and contributed to grants such as the K.F. ja Maria Dunderbergin testamenttisäätiö (2014). He has collaborated on projects like the D-BEST methodology for pilot lines and the ODIN project for scalable production systems. His activities include organizing conferences, presenting at international forums, and developing web-based tools for manufacturing system planning.

Brett DrakeView profile

Professor

• Child Maltreatment Epidemiology
• Child Protection
• Big Data Applications in Social Work
• +3 more

Brett Drake is the Professor of Data Science for the Social Good in Practice at the Brown School, Washington University . He specializes in child welfare research, focusing on early intervention in child neglect cases and socio-environmental factors influencing child maltreatment. His work integrates data science with social work to address systemic inequities and improve preventative services. Areas of Focus: Child Maltreatment Epidemiology, Big Data Applications, Racial Disproportionality Drake teaches master’s-level courses on diversity, human behavior, and practice analysis, alongside doctoral research methodology classes. He collaborates with state agencies on data evaluation and has been recognized as one of the World's Top 2% Scientists and among the Most-Cited Scientists in social work. His research spans decades, including the creation of a widely used Missouri child maltreatment database with his colleague and wife, Melissa Jonson-Reid.

Paul BreretonView profile

Professor

• Food safety
• Food quality
• Food sustainability
• +7 more

Professor Paul Brereton is Director of Strategic Alliances at the School of Biological Sciences, Queen's University Belfast, and leads the Institute for Global Food Security. He has coordinated major EU projects including €20M TRACE and €12M FOODINTEGRITY, and currently directs QUB's contributions to the UKRI Sus-Health programme and €11M TITAN Horizon Europe project. Active in food safety, authenticity, and sustainability Co-Director of UKRI Integrating Finance and Biodiversity Programme Chairs European Commission PRIMA Foundation evaluation panel His research spans food chemistry, risk assessment, and policy development, with recent focus on financial instruments for ecological restoration and combined nutritional-environmental metrics. Key projects address antimicrobial resistance, dietary sustainability, and blockchain applications in food traceability. Scientific honors include Fellow of the Royal Society of Chemistry and international awards from AOAC and OIV. His work contributes to UN Sustainable Development Goals 2 (Zero Hunger), 3 (Health), and 12 (Responsible Consumption).

• Business Analytics
• Decision Support Systems
• Artificial Intelligence in Business
• +5 more

Vanja Bevanda is a Full Professor at the Faculty of Economics and Tourism, University of Primorska in Pula. She holds a PhD from 2002 and has been employed at the institution since 2005, contributing to the Department of Quantitative Methods. Her educational background includes a BSc (1989), MSc (1995), and PhD (2002). Research Interests : Her work focuses on decision analytics, business intelligence, artificial intelligence applications in SMEs, data mining for customer behavior analysis, tourism development strategies, and the integration of technology in education. She explores topics like AI-driven managerial journeys, microchip implant adoption, and post-pandemic technology use trends. Publications : Recent articles highlight her contributions to AI transformation in SMEs, sentiment analysis during the pandemic, and mobile BI adoption in SMEs. Her research spans both theoretical frameworks and practical case studies across Croatia and beyond. Teaching : She teaches courses including Business Decision-Making, IT Project Management, and Database Systems. She emphasizes bridging theoretical knowledge with practical skills in information systems education.

Koushik SenView profile

Professor

• Software Engineering
• Programming Languages
• Formal Methods
• +8 more

Koushik Sen is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He holds a B.Tech from IIT Kanpur and M.S./Ph.D. from UIUC. His research focuses on Software Engineering, Programming Languages, and Formal Methods, emphasizing tools like DART, CUTE, and Jalangi for improving software reliability. He leads projects such as CORVETTE and Sky Computing Lab, and collaborates with Samsung Research America on JavaScript analysis. Sen has received prestigious awards including the Sloan Fellowship and ACM SIGSOFT Impact Award. Education: B.Tech, Indian Institute of Technology, Kanpur M.S. and Ph.D., University of Illinois at Urbana-Champaign Research Interests: Software Testing, Verification, Symbolic Execution, Security, and Quantum Computing. His work bridges automated testing (e.g., concolic testing) with machine learning for bug detection and program synthesis. Projects include Hindsight Logging for ML reproducibility and quantum circuit optimization (QFAST). Awards: NSF CAREER, IFIP Manfred Paul, ACM SIGSOFT Distinguished Paper (multiple), and Sloan Fellowship. Advising: Supervised over 30 students/postdocs, leading to faculty roles at UBC, CMU, and industry positions at Google, Facebook, and Samsung. Labs/Teams: Berkeley Center for Responsible, Decentralized Intelligence (RDI), EPIC Data Lab, and Sky Computing Lab. Active in quantum computing and hardware fuzzing (RTL-FuzzLab).

• Database Systems
• Operating Systems
• Distributed Systems
• +3 more

Athinagoras Skiadopoulos is a computer systems researcher at Stanford University's School of Engineering, Department of Computer Science, focusing on the intersection of database systems and operating systems. His work centers around the innovative DBOS (Database-oriented Operating System) project and large-scale machine learning infrastructure, collaborating with prominent researchers including Christos Kozyrakis and Michael Stonebraker. His primary research interests include: Database-oriented Operating Systems (DBOS) Distributed systems for large-scale machine learning Resource management and optimization in data-intensive systems Transaction processing and data governance High-performance networking for accelerated computing Fault tolerance in distributed training systems Skiadopoulos's research trajectory shows a clear evolution from foundational DBOS architecture toward applications in large-scale machine learning systems. His early publications established the DBOS framework for operating system design using database principles, while his recent work addresses critical challenges in distributed training of massive neural networks. Systems like ReCycle and SlipStream demonstrate innovative approaches to pipeline adaptation and failure recovery during distributed training. His most recent 2025 work on accelerating Mixture-of-Experts training represents the cutting edge of efficient large model training infrastructure. Through his research, Skiadopoulos has established himself in both the database and systems research communities, with publications in premier venues including SOSP, OSDI, VLDB, and CIDR. His work consistently bridges theoretical database concepts with practical systems implementations, demonstrating how database techniques can solve real-world systems challenges in modern computing environments.

Ahmed Al-JaishiView profile

Adjunct Professor

• Randomized clinical trials
• Cluster Randomized Trials
• Health Services Research
• +2 more

Dr. Ahmed Al-Jaishi is an Adjunct Professor in the Department of Epidemiology and Biostatistics and a Research Scientist at the Schulich School of Medicine & Dentistry at Western University. He also holds positions as an Adjunct Scientist with ICES and Senior Epidemiologist at the Public Health Agency of Canada. Education: Ph.D. in Health Research Methodology, McMaster University (2021) M.Sc. in Epidemiology and Biostatistics, Western University (2013) B.Sc. in Biological Sciences, University of Guelph (2010) His research focuses on methodologies for pragmatic randomized controlled trials, with specialization in cluster-randomized designs. Primary research domains include: Clinical trial design and registry-based methodologies Health services research in nephrology (particularly hemodialysis) Population-based epidemiological studies Statistical methods for cluster trials Recent publications demonstrate strong thematic focus on hemodialysis care innovations, COVID-19 impacts on vulnerable populations, autism spectrum disorder epidemiology, and advanced statistical methodologies. Articles frequently utilize registry data, cluster-randomized designs, and health administrative databases across Canadian and international contexts. Dr. Al-Jaishi is actively engaged in training future epidemiologists and biostatisticians through hands-on mentorship in advanced research methodologies.

Jun YangView profile

Professor

• Databases
• Data-Intensive Computing
• Computational Journalism
• +3 more

Jun Yang is the Knut Schmidt Nielsen Distinguished Professor of Computer Science at Duke University's Trinity College of Arts & Sciences, with current appointments since 2014. He's also an Associate of the Duke Initiative for Science & Society. Education: Ph.D. and M.S. from Stanford University (2001), B.A. from University of California, Berkeley (1995) His research focuses on Databases and Data-Intensive Computing , particularly Computational Journalism to preserve public interest journalism through computing. He co-directs the Duke Database Research Group within the Systems and Architecture Group. Recent publications include work on SQL query debugging (Qr-Hint system), relational query education tools, and vaccine misinformation taxonomy. NSF grants (2024-2027, 2022-2026, 2020-2024) support his research, along with funding from Knight Foundation, NIH, Google, HP, and IBM. Scientific Awards: NSF III: Medium Responsive Optimization Grant, NSF III: Medium Ask the Experts Grant, NSF IIS: Small Grant, and multiple industry grants He maintains strong connections with No.7 High School of Chengdu alumni network, having created its web-based alumni system in the 1990s. His work combines technical innovation with societal impact applications.