Find Academic Supervisors

Virginia SpieglerView profile

Professor

• Supply Chain Management
• Supply Chain Resilience
• Sustainability
• +5 more

Dr. Virginia Spiegler is a Professor in Operations and Supply Chain Management at the University of Kent's Kent Business School. She holds a PhD in Supply Chain Dynamics from Cardiff Business School and a B.Eng. in Mechanical Engineering from the Federal University of Santa Catarina, Brazil. Her research focuses on supply chain resilience, sustainability, control theory, and system dynamics, with applications in automotive, aerospace, and food industries. She has led projects on industrial decarbonization and blockchain integration in public sector waste reduction. Currently, she supervises students on topics like blockchain-enabled lean automation and circular economy efficiency. Her professional experience includes roles in material planning and traceability, as well as collaborations with manufacturing and energy firms. Notable projects include a £365K Innovate UK initiative on industry symbiosis and a €2.6M EU-funded ReTraCE project advancing circular economy models. Dr. Spiegler teaches modules BUSB5032, BUSB5532, and BUSB7067, emphasizing operations and supply chain management. Her research interests span supply chain risk management, transparency through digital technologies, and control theory applications. She has published widely on topics such as maintenance policies, bullwhip effect mitigation, and reverse logistics in fashion industries. Key grants include leadership in projects totaling over £300K, focusing on supply chain resilience and sustainability. Dr. Spiegler's advising spans diverse topics, including lean automation frameworks and pharmaceutical supply chain sustainability. She collaborates with global partners and has contributed to industry reports like the North Kent LIDP Report. Her work bridges academia and practice, addressing real-world challenges in supply chain dynamics and environmental sustainability.

Carlos M. ChangView profile

Associate Professor

• Civil Engineering
• Transportation Infrastructure
• Sustainable Infrastructure
• +5 more

Carlos M. Chang, Ph.D., P.E., is an Associate Professor in the Department of Civil and Environmental Engineering at Florida International University (FIU), serving as Advisory Board Liaison. He is a globally recognized expert in infrastructure systems, specializing in pavements and bridges. His professional engineering licenses span Florida, Texas, and Perú. Dr. Chang actively leads international organizations including President of the International Society of Maintenance and Rehabilitation of Transportation Infrastructure (iSMARTi) and Chair of the International Road Federation (IRF) Asset Management Task Force. His research focuses on sustainable infrastructure decision-making, employing methodologies like artificial intelligence, statistical analysis, and optimization. He has secured over $12 million in research funding as PI/Co-PI for 30+ projects, producing 200+ publications. Key research areas include climate adaptation for transportation infrastructure, pavement management systems, and integrating livability criteria into asset management practices. Dr. Chang has developed over 20 academic and professional training courses, emphasizing education’s role in advancing engineering practices. His work bridges theoretical research and practical applications, addressing challenges like sea-level rise impacts on pavements and vulnerable road user safety. He collaborates internationally, exemplified by a US-Peru virtual program in sustainable engineering. His contributions extend to policy frameworks, such as fair division models for transportation funding allocation and performance-based methodologies for metropolitan planning. He advocates for holistic infrastructure management that combines technological innovation with human-centric approaches for smart cities.

• Systems Engineering
• Product Development
• Conceptual System Design
• +5 more

Dinesh Verma is a Professor and Executive Director of the Systems Engineering Research Center (SERC) at Stevens Institute of Technology. He previously served as Founding Dean of the School of Systems and Enterprises (2007–2017). His roles include adjunct positions at Georgetown University (Visiting Professor, Department of Biochemistry), and advisory roles at institutions like the Embedded Systems Institute (Eindhoven, Netherlands) and the Defense Science Board (U.S.). Education and Professional Background: Verma’s career spans academia and industry, including roles at Lockheed Martin, Virginia Tech (Systems Engineering Design Laboratory), and as an Invited Lecturer at the University of Exeter (1995–2000). Research Interests: Focus on systems engineering fundamentals, including conceptual design evaluation, system architecture, life cycle costing, and supportability engineering. Recent work emphasizes digital engineering integration, ontology-based model interoperability, and systems security for modular open systems. Grants & Patents: Directed over $175M in academic/research programs. Holds patents in life-cycle costing, fuzzy logic for design evaluation, and collaborative engineering tools. Awards: Honorary Doctorate (Linnaeus University, 2007) and Honorary Master’s (Stevens, 2008). INCOSE Fellow (International Council on Systems Engineering). Key Contributions: Authored 100+ publications, including textbooks on Maintainability, Economic Decision Analysis, and Space Systems Engineering. Co-founded the Defense Science Board’s Digital Engineering initiative and chairs DoD/MITRE mission engineering collaborations.

• Flood Risk Management
• Environmental Policy
• Disaster Resilience
• +4 more

Prof Sally Priest is Deputy Dean for Research and Knowledge Exchange in Middlesex University's Faculty of Science and Technology, leading the S&T School Leadership. Her work focuses on socio-economic aspects of flood risk, including governance, resilience, and community engagement. She holds a Professorship and has over 20 years of experience in applied research with direct policy impact. Affiliations: Deputy Dean (Research & Knowledge Exchange), Flood Hazard Research Centre Head Education: Qualifications not explicitly listed but extensive academic and professional roles imply terminal degree(s) in Geography/Environmental Science. Research interests include flood insurance mechanisms, risk communication, flood warning effectiveness, and justice in flood policy. She advises UK government agencies and international bodies on flood risk strategies, contributing to national policies like the English National Flood Risk Management Strategy (2020). Publications emphasize interdisciplinary approaches, linking socio-economic analysis with hazard modeling. Recent work explores justice dimensions in flood governance and cross-sectoral collaboration. Advising: Supervised 8 PhD students (4 completed, 4 current) in flood-related topics. Grants & Partnerships: Led projects funded by the Environment Agency, EU, and international collaborations. Active in knowledge exchange, she chairs expert committees and peer-review panels, ensuring research informs practical solutions for safer, sustainable communities.

Jillian AurisanoView profile

Assistant Professor

• Data Visualization
• Visual Analytics
• Human-Computer Interaction
• +5 more

Jillian Aurisano, PhD, is an Assistant Professor in the Department of Computer Science at the University of Cincinnati's College of Engineering and Applied Science. Her research focuses on data visualization, human-computer interaction, and collaborative technologies, with a particular emphasis on large display environments and immersive analytics. She leads projects involving multi-modal interaction design, virtual reality, and conversational interfaces for data exploration. Key research interests include: Large-scale visualization systems (e.g., SAGE2 platform) Design of intuitive interaction techniques for big displays Integration of speech/gesture with visual analytics Collaborative work environments for data-driven tasks Her work has explored applications in biology (e.g., genome visualization, animal movement tracking) and ecological systems. Recent research trends emphasize improving user experiences through intelligent conversational assistants and addressing challenges in evaluating large-display systems. Notable projects include BactoGeNIE (comparative genome visualization) and ARTICULATE2 (conversational interface for data exploration). She collaborates with interdisciplinary teams across computer science, biology, and environmental science domains.

• Operations Research
• Game Theory
• Decision Theory
• +5 more

Evangelos F. Magirou is a Professor of Operations Research at the Department of Informatics of Athens University of Economics and Business (AUEB). He holds a BS in Electrical Engineering from Princeton University (1971), an MSc in Decision and Control Sciences from Harvard University (1972), and a Ph.D. in Decision and Control Sciences from Harvard (1976). His research focuses on theoretical and applied Operations Research, with specializations in Finance, Shipping, and Energy Policy. He has held significant administrative roles, including Deputy Chairman of the Department of Informatics at AUEB and Chairman of the Hellenic Procurement Institute (1994–1997). Education: BS in Electrical Engineering, Princeton University (1971) MSc in Decision and Control Sciences, Harvard University (1972) Ph.D. in Decision and Control Sciences, Harvard University (1976) Research Interests: Operations Research applications in Finance, Shipping, and Energy Policy Optimization, Game Theory, and Decision Theory Algorithm design and dynamic optimization Recent Publications Trends: Magirou’s work spans theoretical contributions to graph theory, kernel enumeration, and default logic, alongside applied research in shipping logistics, energy policy, and financial modeling. His 2000s publications emphasize computational finance and policy iteration methods, reflecting a shift toward quantitative finance and algorithmic innovation. Awards and Grants: No specific awards are listed, but his extensive involvement in energy policy research and industry partnerships (e.g., Public Power Corporation) highlights impactful applied work. Teaching and Advising: He teaches courses in mathematics of finance, operations research, and algorithms. His academic leadership includes directing the MSc Program in Business Mathematics (jointly with the University of Athens). Labs/Teams: Collaborates with the Center for Economic Research at AUEB and has contributed to shipping industry studies through collaborative projects with industry experts.

Ryan BakkerView profile

Associate Professor

• Political Science
• Comparative Politics
• Party System Analysis
• +3 more

Dr. Ryan Bakker is an Associate Professor in the Department of Government at the University of Essex. His research focuses on comparative politics, party systems, and quantitative political analysis. He teaches courses including Quantitative Political Analysis , Advanced Quantitative Political Analysis , and a doctoral seminar in political economy. His work examines party positioning, European integration, socio-cultural policy dimensions, and electoral behavior across nations. He has supervised PhD students such as Kristijan Garic (current) and Eunhyea Oh (awarded 2025), whose thesis explored voting behavior in EU institutions. His research employs expert survey data (e.g., Chapel Hill Expert Survey) and methodological innovations to study political representation, ideological congruence, and anti-establishment movements. Key themes include urban-rural political divisions, pandemic governance responses, and transatlantic policy comparisons. His publications span topics from measuring human rights through practitioner surveys to analyzing the evolving dimensions of West European party politics. Despite no listed awards, Bakker’s work contributes significantly to comparative political methodology and data infrastructure through collaborative projects like the Chapel Hill Expert Survey trend files.

Tom WilliamsView profile

Associate Professor

• Human-Robot Interaction
• Natural Language Processing
• Robot Ethics
• +1 more

Dr. Tom Williams is Associate Professor of Computer Science and Director of the MIRRORLab at Colorado School of Mines. His research program centers on natural language-based human-robot interaction with emphasis on ethical, social, and contextual dimensions of communication. Williams investigates how robots can understand and generate context-sensitive language, particularly in morally complex situations. Current projects explore role-based moral reasoning, politeness strategies, and cultural variations in human-robot interaction. His work integrates cognitive science, artificial intelligence, and human-computer interaction methodologies. He has received significant recognition including NSF CAREER, NASA Early Career Faculty, and AFOSR Young Investigator awards. Williams teaches courses in Human-Robot Interaction, Robot Ethics, and Computer Vision, maintaining international collaborations on socially intelligent robotic systems.

Junsong YuanView profile

Professor

• Computer Vision
• Pattern Recognition
• Video Analytics
• +6 more

Junsong Yuan is a Professor and Director of the Visual Computing Lab at the Department of Computer Science and Engineering, University at Buffalo (SUNY). He previously served as an Associate Professor and Nanyang Assistant Professor at Nanyang Technological University (NTU), Singapore. His research focuses on computer vision, pattern recognition, video analytics, and large-scale visual search. He holds a Ph.D. from Northwestern University, M.Eng. from National University of Singapore, and B.Eng. from Huazhong University of Science and Technology. Education : Ph.D., Electrical and Computer Engineering, Northwestern University, 2009 M.Eng., Electrical and Computer Engineering, National University of Singapore, 2005 B.Eng., Communication Engineering, Huazhong University of Science and Technology, 2002 Research Interests : Dr. Yuan's work spans computer vision, video analytics, gesture/action analysis, and multimodal learning. He emphasizes scalable visual search, 3D reconstruction, and federated learning for medical imaging. His lab develops algorithms for autonomous systems, generative media processing, and human-AI interaction. Awards : IEEE Fellow (2021) IAPR Fellow (2018) SUNY Chancellor's Award for Excellence in Scholarship (2022) Advising & Grants : He has advised numerous PhD students, including Sudhir Yarram, Nan Xi, and Tianyu Luan. His research is supported by grants focusing on video generation, medical image analysis, and federated learning. He serves as Editor-in-Chief of JVCI and on editorial boards of T-PAMI, T-IP, and T-CSVT. Labs & Teams : Director of the Visual Computing Lab, leading projects in generative models, 3D scene understanding, and healthcare AI. Collaborates with industry partners like Meta, Amazon, and Accenture on applied vision systems.

Alfie Abdul-RahmanView profile

Senior Lecturer

• Information Visualization
• Human-Computer Interaction
• User-centered Design of Visualization Applications
• +4 more

Dr. Alfie Abdul-Rahman is a Senior Lecturer in Computer Science at King’s College London, affiliated with the Department of Informatics under the Faculty of Natural, Mathematical & Engineering Sciences. She holds a PhD in Computer Science from Swansea University and has prior experience as a Research Associate at the University of Oxford’s e-Research Centre and as a Research Engineer at HP Labs Bristol. Her research focuses on information visualization, human-computer interaction, and digital humanities, with notable projects like the Quill Project (Oxford) and the ViTA visualization tool for text alignment. She co-leads the RAMPVIS initiative for emergency response visualization and the 'Narrating Complexity' project on multi-actor timelines. Her work spans interdisciplinary collaborations, including health informatics (e.g., mental health-Social Media correlations), historical data visualization (e.g., book trade dispersal), and ethical AI decision-support interfaces. She actively engages in educational initiatives like the VisGuided community-driven visualization education platform and WomENcourage conferences for women in computing. Notable grants include EPSRC funding for RAMPVIS (2021-2022) and Narrating Complexity (2022-2024). She advises on projects involving visualization ethics, epidemiological modeling, and collaborative text analysis tools. Her team developed the BookTracker platform and scFlowVis for single-cell RNA sequencing analysis, emphasizing close collaboration with domain experts.

Carolyn BrodieView profile

Associate Professor

• Human Computer Interaction
• Privacy and Security Design
• Usability Engineering
• +3 more

Carolyn Brodie is an Associate Professor of Computer Science at Simpson College's Department of Mathematics and Computer Science. She joined as a full-time faculty member in 2018 after serving seven years as an adjunct. Her expertise spans Human Computer Interaction (HCI), Privacy and Security Design, and Software Development. Brodie holds a B.S. in Computer Engineering from Iowa State University (1984) and M.S./Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign (1997/1999). Her research focuses on leveraging emerging technologies to solve real-world user problems, with emphasis on privacy policy management, usability in security systems, and decision support methodologies. She previously worked at IBM in research (Watson Research Center) and software development roles. Key contributions include the DAISY decision support framework and SPARCLE policy workbench, highlighted in her 20+ peer-reviewed publications. Awards: Simpson College Excellence in Adult Education (2018), 3 patents (2009–2013) Grants & Funding: Not explicitly listed in provided text Brodie's work bridges theoretical HCI advancements with practical applications in organizational privacy management, military decision systems, and collaborative software tools. She actively participates in CHI conferences and usability-focused research initiatives.

Payam BakhshiView profile

Associate Professor

• Construction Management
• Sustainable Construction
• Automation in Construction
• +4 more

Dr. Payam Bakhshi is an Associate Professor of Construction Management in the School of Management. His research focuses on sustainable construction practices, automation in earth moving operations, cost contingency modeling for project portfolios, and innovative project delivery methods. He holds the Douglas C. Elder Professorship, which supports his research initiatives and student engagement. His work integrates academic research with industry practices, addressing challenges in energy-efficient housing, climate resilience, and lean construction methodologies. Research Contributions: Advanced Bayesian models for cost contingency allocation, explored 3D printing applications in affordable housing, and investigated automation technologies in construction. Professional Engagements: Participated in National Association of Home Builders (NAHB) competitions, Lean Construction Institute (LCI) events, and the Advancing Preconstruction 2020 Conference. His research methodologies emphasize practitioner interviews and literature reviews to develop industry-relevant best practices. The Douglas C. Elder Professorship has enabled collaborations with industry experts and supported undergraduate research projects on topics like automated earth moving operations and design change management transparency. Awards: Recipient of the Douglas C. Elder Professorship, supporting research and student development. Grants & Funding: Leveraged professorship funds to hire students, conduct field studies, and attend professional development events. Dr. Bakhshi’s work bridges academic inquiry with real-world construction industry challenges, focusing on sustainable solutions, technological innovation, and risk management strategies for large-scale projects.

Lin ZhanView profile

Professor

• Healthcare for Vulnerable Populations
• Cultural Adaptation in Healthcare Measurement
• Nursing Workforce Development
• +3 more

Lin Zhan, PhD, RN, FAAN, serves as the Dean and Professor at the UCLA School of Nursing since 2021. Previously, she held deanship roles at the University of Memphis Loewenberg College of Nursing and the Massachusetts College of Pharmacy and Health Sciences. Her academic leadership spans three U.S. states and multiple campus locations. Dr. Zhan’s research focuses on improving healthcare access for vulnerable populations, developing culturally appropriate health measures, and advancing nursing workforce development. She has published over 100 articles, edited six books, and secured multi-million dollar research grants. Her scholarly contributions include roles on editorial boards for Journal of Gerontological Nursing and Journal of Aging and Geriatric Medicine , plus service on the American Academy of Nursing’s expert panels and committees. Recognized as a 2001 Fellow of the American Academy of Nursing, her accolades include the ‘Best Book of the Year’ award and leadership honors in nursing education. She has also been elected to the AACN Board of Directors and served as its Treasurer. Dr. Zhan’s work emphasizes interdisciplinary collaboration, evidenced by her cross-tissue multiomics studies on metabolic disorders and traumatic brain injury. Her recent research explores gut-brain interactions, mitochondrial dysfunction in neurodegeneration, and pharmacological strategies for renal repair. She actively mentors global women leaders in nursing and advocates for nursing education innovation through AACN policy initiatives. Her research portfolio reflects a systems biology approach, integrating single-cell analysis, spatial transcriptomics, and multi-omics methodologies to address complex health challenges. This spans from molecular mechanisms in metabolic diseases to translational strategies in neuroprotection and kidney repair.

• Computational Finance
• Data Science
• Medical Imaging
• +3 more

Dr. Jianliang Gao is a Teaching Fellow at Imperial College London's Business School and Early Career Researcher Institute (ECRI), with a Fellowship of the Higher Education Academy. He holds a PhD in Computing from Ulster University and has extensive interdisciplinary experience spanning finance, biomedical engineering, and computational science. Education: PhD in Computing, Ulster University MSc in Information Technology, Hong Kong University of Science and Technology BSc in Computer Science, Fujian Normal University Research Interests: Computational Finance and Data Science Medical Imaging and Neuroscience (via dHCP projects) Sensor Systems and Biomechanical Engineering Big Data Analytics and Cloud Computing Prosthetics Interface Design and Healthcare Technology Recent Research Trends: His work spans stock market prediction models, graph neural networks, medical imaging frameworks (e.g., neonatal connectome analysis), and interdisciplinary tools like virtual research environments. He collaborates with experts in BiomedIA, metabolomics, and prosthetics engineering. Teaching & Leadership: Teaches MATLAB/Finance modules at the Business School and leads workshops on reproducible research computing. Collaborates with Prof. James Sefton, Prof. Alexander Michaelides, and Prof. Timothy Ebbels across ECRI and Biostatistics. Labs/Teams: Active in the BioMedIA group (medical imaging), ReCoDE project (computational reproducibility), and sensor systems teams at the University of Southampton.

Neil BramleyView profile

Senior Lecturer

• Computational Cognitive Science
• Causal Cognition
• Active Learning
• +3 more

Neil Bramley is a Senior Lecturer in Psychology at the University of Edinburgh, affiliated with the School of Philosophy, Psychology and Language Sciences within the College of Arts, Humanities & Social Sciences. Currently serving as Director of Data and Open Research (2023–2026), he previously held roles such as Marketing Officer for the Psychology Department (2019–2022). His research focuses on computational cognitive science, exploring algorithms underlying human intelligence through computational modeling and behavioral experiments. He teaches courses in causal cognition and cognitive modeling, and actively supervises MSc and PhD students in cognitive science topics. Education: PhD in Experimental Psychology MRes in Computer Science MSc in Cognitive & Decision Sciences MA (Hons) in Philosophy Research Interests: Causal cognition, active learning, hypothesis generation, decision-making, resource rationality, and philosophy of mind. His work bridges computational models with human behavior, emphasizing how people learn and control complex systems through interaction. Grants: EPSRC New Investigator Grant (2021–2024) for 'Computational Constructivism: The Algorithmic Basis of Discovery.' Labs/Teams: Leads the Bramley Computational Cognitive Science Lab, investigating causal learning, temporal dynamics, and human-like generalization in AI.