Find Academic Supervisors

• Knowledge Management
• Innovation Management
• Entrepreneurship
• +8 more

Dr. Evangelos Markopoulos is a Lecturer at the University College London School of Management, specializing in Knowledge & Innovation Management, Entrepreneurship, and Futuristic Interactive Technologies. He holds a PhD in MIS Project Management and has extensive industry experience with IBM, Siemens, and Bell Labs. His research focuses on integrating Digital Twins, Metaverse Applications, and ESG Compliance into organizational strategies. He has published 120+ papers and authored a book on Innovative Organizational Cultures. Notable achievements include a Clinton commendation and two Global Social Innovation Awards (HultPrize). His teaching emphasizes real-world industry collaboration through internships and competitions. Education: BSc Computer Science → MSc Computer Science/Artificial Intelligence → PhD MIS Project Management. He has taught at QMUL, UCL, Essex, and others. Research interests span Digital Transformation, Sustainable Leadership, and Gamification in Education. Current projects include VR safety training for maritime sectors and democratic innovation frameworks. Key Research Themes: ESG-SDGs Alignment, Metaverse in Maritime Training, Democratic Organizational Culture Student Impact: Mentored teams to global awards in social innovation Industry Collaboration: Founder of companies in Project Management, Enterprise Engineering, and Innovation Apps

Julio M. OttinoView profile

Professor

• Complex Systems
• Granular Matter Dynamics
• Fluid Mixing
• +5 more

Julio M. Ottino is the Walter P. Murphy Professor of Chemical and Biological Engineering and holds a courtesy appointment in Mechanical Engineering at Northwestern University. He also serves as a Professor of Management and Organizations at the Kellogg School of Management. His research focuses on complex systems, granular matter dynamics, and mixing/segregation phenomena, with applications spanning engineering, geophysics, and environmental science. Ottino’s work bridges theory, computation, and experimentation, addressing challenges in granular flow optimization and segregation control. He is affiliated with the Theoretical and Applied Mechanics Graduate Program and leads the Ottino Research Group. Key research interests include agent-based modeling, network theory, and the interplay between order and disorder in physical systems. His contributions span fluid dynamics, nonlinear systems, and engineering education innovation. Awards: Member of the National Academy of Sciences (2022), G.I. Taylor Medal (2023), and numerous engineering accolades. Publications: Over 200 peer-reviewed articles on granular flows, segregation forces, and mixing dynamics. Education: Ph.D. in Chemical Engineering (assumed based on career trajectory). Ottino’s work emphasizes cross-disciplinary collaboration, as highlighted in his book ArtScience: Creativity in the post-Google Generation . His lab explores cutting-edge topics like machine learning for mixing optimization and ergodic subset analysis in chaotic systems.

Kendra McSweeneyView profile

Professor

• Human-Environment Interactions
• Cultural and Political Ecology
• Conservation and Development
• +3 more

Kendra McSweeney is a Professor of Geography at The Ohio State University, affiliated with the College of Arts and Sciences. Her research focuses on human-environment interactions, particularly in Latin America, addressing issues like political ecology, conservation, and the socioecological impacts of drug trafficking. She holds a Ph.D. from McGill University (2000), an M.Sc. from the University of Tennessee (1993), and a B.A. from McGill University (1991). Her work spans decades of field research in Honduras, Central America, and Brazil, examining topics such as climate resilience, indigenous demography, and the environmental consequences of drug policies. McSweeney has led interdisciplinary projects funded by NASA, NSF, and the Open Society Foundations, totaling over $2 million in grants. McSweeney’s research has been recognized with prestigious awards, including AAAS and American Academy of Arts & Sciences Fellowships (2024 and 2023), the Alexander and Ilse Melamid Medal (2020), and the CAPE Distinguished Career Award (2020). She has authored over 70 peer-reviewed articles and edited books, including co-editing Geographical Fieldwork in the 21st Century (2021). Her teaching spans undergraduate courses like Our Global Environment and graduate seminars on fieldwork and political ecology. McSweeney advises students on topics ranging from narco-trafficking’s environmental impacts to indigenous health. She collaborates with international organizations such as the World Resources Institute and UNICEF, bridging academic research with policy and community engagement. Current projects include modeling drug-trafficking networks and their environmental effects, and studying demographic changes among Latin America’s indigenous populations. McSweeney is also a Phi Beta Kappa Visiting Scholar (2024-25), emphasizing her role in public scholarship and education.

• Multi-Agent Systems
• Agent-Oriented Software Engineering
• Hypermedia Multi-Agent Systems
• +7 more

Rem Collier is an Associate Professor in the School of Computer Science at University College Dublin (UCD). He holds a PhD in Computer Science from UCD (2001) and has held academic roles including Assistant Lecturer (2004), College Lecturer (2005–2018), and his current position since 2018. His research focuses on Multi-Agent Systems (MAS), Agent-Oriented Software Engineering (AOSE), Hypermedia MAS, Digital Twins, and applications in smart agriculture and urban simulation. He leads the CONSUS project (2022–2024) and collaborates on CAMEO (2021–2024). Education: BSc (Pure/Applied Mathematics, University of Bristol, 1994), MSc (Computation, UMIST, 1995), MPhil (UMIST, 1996), PhD (UCD, 2001). Research interests include Agent Factory Framework, ASTRA programming language, and integrating MAS with microservices. Notable achievements include the CIA System Innovation Award 2003 (ACCESS architecture) and Best Paper Awards at EMAS2020 and Mobile Learning 2006. His work spans over 150 peer-reviewed publications and grants such as HOTAIR (2004–2005) and SIFT (2008–2011). Teaching includes modules on Multi-Agent Systems, Distributed Systems, and Security. He has coordinated courses at UCD and the Joint UCD-Fudan program in Beijing and Sri Lanka. Labs/Teams: Active in Hypermedia MAS Simulation, collaborating on projects like CONSUS and CAMEO, emphasizing smart agriculture and distributed knowledge graphs.

Xin FangView profile

Assistant Professor

• Power System Optimization
• Cyber-Physical Systems
• Renewable Energy Integration
• +3 more

Xin Fang is an Assistant Professor in the Electrical & Computer Engineering Department at Mississippi State University, affiliated with the Bagley College of Engineering. His research focuses on power system optimization with uncertainty, cyber-physical dynamic modeling, and renewable energy integration. He holds a Ph.D. from the University of Tennessee, Knoxville, an M.S. from China Electric Power Research Institute, and a B.S. from Huazhong University of Science and Technology. Education: Ph.D., Electrical and Computer Engineering, University of Tennessee, Knoxville, 2016 M.S., Power System Automation, China Electric Power Research Institute, 2012 B.S., Power System Automation, Huazhong University of Science and Technology, 2009 His research interests emphasize cyber-physical systems integration, grid resiliency through multi-timescale modeling, and equitable energy distribution. Recent work addresses challenges in high-renewable grid operations, including dynamic co-simulation frameworks for electricity-transportation networks. He explores innovative solutions for frequency stability, voltage control, and market mechanisms for emerging energy systems. Publications highlight advancements in hybrid power plant optimization, distributed energy resource coordination, and equitable load-shedding methodologies. His work bridges theoretical modeling with practical applications in grid security and renewable integration.

Funda DurupinarView profile

Associate Professor

• Computer Graphics
• Animation
• Psychology
• +5 more

Funda Durupinar is an Associate Professor in the Department of Computer Science at the University of Massachusetts Boston. Her research bridges computer graphics, animation, and psychology to develop believable virtual humans with nuanced emotional and personality-driven behaviors. Education: B.S. from Middle East Technical University, M.S. and Ph.D. from Bilkent University's Department of Computer Engineering Postdoctoral: Center for Human Modeling and Simulation, University of Pennsylvania Her work focuses on: Multimodal personality expression in virtual agents Nonverbal behavior synthesis for immersive environments Emotion contagion in crowd simulations Integration of psychological models into XR systems Data-driven approaches for realistic avatar animation Ethical considerations in affective computing Recent publications highlight trends in: Personality-embodiment interplay for LLM-based agents Dataset creation for facial expression analysis Motion-driven personality expression frameworks Crowd behavior modeling with affective parameters Leadership Roles: Program Chair for ACM Symposium on Applied Perception (SAP 2025) Organizer of MASSXR workshops at IEEE VR (2023-2025) Editorial Board Member, ACM Transactions on Applied Perception Co-organizer of BostonGFX computer graphics education initiative

Brian RossView profile

Professor

• Artificial Intelligence
• Computational Intelligence
• Genetic Programming
• +10 more

Brian Ross is a Professor at the Department of Computer Science, Brock University. He holds a BSc (Hon) from the University of Manitoba, MSc from the University of British Columbia, and PhD in Artificial Intelligence from the University of Edinburgh. His research focuses on evolutionary computation , particularly genetic programming , with applications in computational biology , evolutionary design , and computational aesthetics . Education: BSc Computer Science (Hon), University of Manitoba MSc Computer Science, University of British Columbia PhD Artificial Intelligence, University of Edinburgh Research Interests: Computational Intelligence: genetic programming, evolutionary algorithms, multi-objective optimization Evolutionary Design: computational aesthetics, 2D/3D modeling, energy-efficient architecture Applications: computational biology, stochastic process algebra, GPU-based image analysis Article Trends: His recent work combines deep learning with evolutionary algorithms to enhance diversity in agent behavior and design optimization. Earlier studies focused on stochastic modeling of biological networks and procedural texture generation . Collaborations span computational aesthetics, passive solar architecture, and non-photorealistic rendering techniques. Students & Collaborations: He has supervised diverse projects including evolved intelligent agents , passive solar building design , and evolutionary art systems . Notable students include Marshall Joseph (2023), Tyler Cowan (2021), and Sheikh Faishal Basher (2021).

Adil ElfakirView profile

Senior Lecturer

• Financial Modelling
• Islamic Finance
• Behavioral Finance
• +5 more

Dr. Adil Elfakir is a Senior Lecturer at Sheffield Hallam University's Department of Finance, Accounting and Business Systems within the College of Business, Technology and Engineering. He joined in January 2018 after extensive roles including Senior Lecturer and Head of Finance Pathway at Cardiff Metropolitan University (2009-2018), Associate Professor at International Institute of Higher Education in Morocco (since 2006), and Research Fellow at LERMA-IFE Lab. His expertise includes financial consultancy, with senior roles at Fineopolis Consulting Institute and IMEX-First Group Maroc. Teaching focuses on advanced finance programs such as MSc Banking and Finance, MSc Wealth Management, and BA Honours Business and Financial Management. Key modules include Financial Derivatives, International Financial Management, and Risk Management. Research emphasizes agent-based simulation, game theory applications in financial contracting, and Islamic finance. He employs methodologies like fuzzy logic and NetLogo simulations to model phenomena in crypto predictability, credit defaults, and venture capital dynamics. Current projects include fintech innovation and AI in finance through his role as Editor-in-Chief of the FinTAF Journal . Collaborations involve institutions like University of Liverpool, Ecole Mohamadia d'Ingenieurs, and Kyonggi University. Supervises doctoral research on CEO personality impacts and digital banking adoption. Engages in peer review for top journals including International Review of Financial Analysis and European Journal of Finance. Leadership includes accreditation oversight for Moroccan higher education programs and fostering academic-industrial partnerships through visiting scholarships at University of Napoli and Ecole Mohamadia des Ingenieurs.

Moira ZellnerView profile

Professor

• Urban Planning
• Environmental Policy
• Complex Systems Modeling
• +5 more

Moira Zellner is a Professor of Public Policy and Urban Affairs at Northeastern University’s College of Social Sciences and Humanities. She serves as Director of the MS in Urban Informatics Program and Director of Participatory Modeling and Data Science. Previously, she was an Associate Professor at the University of Illinois at Chicago, where she led the Urban Data Visualization Lab. Her work bridges urban planning, environmental science, and complexity theory, focusing on participatory modeling for collaborative policy design and sustainability transitions. She teaches courses on agent-based modeling, environmental decision-making, and participatory modeling for knowledge co-production. Her research emphasizes stakeholder engagement in complex socio-ecological systems, including green infrastructure planning, water quality management, and climate resilience. She has pioneered tools like conversational assistants for data visualization and innovative approaches to census outreach. Zellner’s academic contributions span interdisciplinary journals and conferences, addressing urban-rural linkages, sustainability science, and transdisciplinary collaboration. Zellner holds a PhD in Urban and Regional Planning from the University of Michigan. She has advised international organizations, government agencies, and NGOs, advocating for equitable urban policies. Her professional service includes roles as a journal reviewer and scientific advisor, reflecting her commitment to bridging academia and practice. Key research themes include: participatory modeling methodologies, socio-environmental systems modeling, urban informatics, and the application of complexity theory to public policy. Recent work explores spatial planning for nature-based solutions, leveraging technology for inclusive civic engagement, and advancing computational tools for decision-making.

Marjorie McShaneView profile

Professor

• Cognitive Science
• Artificial Intelligence
• Natural Language Processing
• +3 more

Marjorie McShane is a Professor of Cognitive Science at Rensselaer Polytechnic Institute (RPI). She specializes in developing cognitive models for intelligent agents that collaborate with humans in task-oriented dialog systems. Her work integrates physiological simulation, emotion modeling, and cognition, with a focus on natural language processing (NLP) and cross-linguistic perspectives. She leads the Language-Endowed Intelligent Agents (LEIA) Lab and has authored influential books like Agents in the Long Game of AI and Linguistics for the Age of AI . Education: PhD in Slavic Languages and Literatures (Princeton University), MA (Princeton), Advanced Translation Certificate (SUNY Albany), and prior degrees from SUNY Albany and Grinnell College. Research Interests: Her work bridges cognitive science and AI, focusing on: 1) NLP and semantic analysis for conversational agents, 2) cognitive modeling in medical training (e.g., Maryland Virtual Patient system), and 3) hybrid AI systems combining knowledge bases with machine learning. She emphasizes explainable AI, lifelong learning, and trustworthiness in hybrid systems. Key Contributions: Pioneered frameworks like HARMONIC for cognitive robotics and LEIA agents. Her recent work addresses metacognition in AI, neurosymbolic approaches, and overcoming knowledge bottlenecks. She advocates for linguistics-informed AI development, integrating multi-stage language understanding with actionable decision-making. Labs/Teams: Directs the LEIA Lab, advancing research in embodied cognitive agents and language-enabled systems. Collaborates on medical simulation systems and AI ethics frameworks.

Giovanni DalmassoView profile

Associate Professor

• Computational Biology
• Developmental Biology
• Biomedical Image Analysis
• +4 more

Giovanni Dalmasso is an Associate Professor in the Department of Mathematics and Data Analytics at the IQS School of Engineering, Ramon Llull University. His research focuses on computational modeling of biological systems, including morphogenesis, cellular homeostasis, and biomedical image analysis. He specializes in developing tools for 3D/4D visualization of developmental processes and agent-based models of cellular dynamics. Key research areas include: 3D/4D reconstruction of embryonic development (e.g., limb bud morphogenesis) Biological shape correspondence algorithms (μMatch) Systems biology approaches to mitochondrial function and stress responses Mathematical modeling of calcium signaling dynamics His work contributes to UN Sustainable Development Goals related to innovation and infrastructure through advances in bioimaging and computational tools. Collaborations span institutions globally, including projects with the University of Edinburgh and University Pompeu Fabra. He has developed open-source software like LimbLab and veda for scientific visualization. Research outputs emphasize interdisciplinary methods combining engineering, mathematics, and biology to address fundamental questions in developmental biology and cellular systems. Current efforts focus on integrating moral decision frameworks into AI agents through contractualist models.

• Human-Computer Interaction
• User Experience (UX)
• Human-Centered Artificial Intelligence
• +4 more

Grazia Ragone is a Postdoctoral Researcher at the IVU Laboratory , Department of Computer Science, University of Bari Aldo Moro. Holding a PhD in Human-Computer Interaction from the University of Sussex and a Master's in Psychological Research Methods, she specializes in Usability, User Experience (UX), and Human-Centered AI , focusing on systems that integrate human factors for enhanced technology interaction. Academic Background: PhD in Human-Computer Interaction (University of Sussex, UK), Master’s in Psychological Research Methods (University of Bari) Key Research Areas: Social Motor Synchrony, Child-Computer Interaction, Trustworthy AI, Embodied Interaction, Autism Research, Usability Engineering Her recent work on the Future Artificial Intelligence Research (FAIR) project develops new metrics for human-AI symbiosis. She has presented at major conferences like Interaction Design and Children (IDC) and Advanced Visual Interfaces (AVI) , with publications in ACM Transactions and Springer LNCS. Scientific awards include the Microsoft Research Best Student Research Competition (2021) and IDC Conference Best Work in Progress (2020). Grazia actively contributes to academic governance as a member of ACM SIGCHI and SIGCHI Italy , and has organized international conferences like INTERACT 2021. She has delivered workshops on Child-Centered AI at institutions including the University of Delft and Sussex University.

• Pharmaceutical Engineering
• Drug Delivery Systems
• Continuous Manufacturing
• +3 more

Dr. Rahamatullah Shaikh is an Assistant Professor in Industrial Pharmaceutics at the Centre for Pharmaceutical Engineering Science within the School of Pharmacy and Medical Sciences, University of Bradford. With extensive international research experience in academia and industry, his expertise spans drug formulation, continuous manufacturing, and particle engineering. He holds a PhD from the University of Limerick and an MPhil from Queen's University Belfast, where he developed patented buccal patch technology. His research focuses on: Continuous manufacturing processes via Quality by Design (QbD) Next-generation drug delivery systems for oral, mucosal, transdermal, and ophthalmic applications Novel biomaterials for regenerative medicine His publication portfolio demonstrates strong trends in pharmaceutical cocrystallization, continuous processing, and advanced drug delivery systems, particularly for ophthalmology and personalized medicine. Dr. Shaikh teaches across undergraduate and postgraduate programs and serves as Health and Safety Lead at the CPES. He has supervised 16 student research projects and actively engages in science outreach through initiatives like spectroscopy workshops.

Trevor HansonView profile

Professor

• Transportation Engineering
• Aging and Mobility
• Community Transportation
• +4 more

Dr. Trevor Hanson is a Professor in the Department of Civil Engineering at the University of New Brunswick (UNB), part of the Faculty of Engineering. He serves as the Coordinator of the UNB Transportation Group and holds roles such as Senator for Fredericton and Executive Vice President of the Canadian Transportation Research Forum. His education includes a BScE (2002), MScE (2004), and PhD (2010) from UNB. His research focuses on aging and mobility, community transportation systems, universal design, and low-cost data collection. Notable projects include age-friendly rural planning funded by NSERC and studies on volunteer transportation programs. He has advised multiple theses and special study courses, though student names are not listed. Dr. Hanson's work spans policy, infrastructure, and accessibility. He chairs the CSCE Task Force on Accessibility and integrates accessibility into UNB's civil engineering curriculum. Key awards include the 2022 and 2018 Bison Transport Debate wins and the 2012 Eric Garland Teaching Award. Grants: 5-year NSERC Discovery Grant Consulting: Independent contracts focused on rural transportation. His team explores health data integration for transportation planning, active transportation modeling, and demand estimation for volunteer services. He also advocates for visitable housing policies and rural infrastructure resilience.

Rotimi OgunsakinView profile

Lecturer

• Data Analytics
• Artificial Intelligence
• Digital Transformation
• +3 more

Dr. Rotimi Ogunsakin is a Lecturer in Business Data Analytics at Keele Business School, Keele University. With over ten years of experience in technology and academia, he bridges theory and practice in data analytics, digital transformation, and operations management. He holds a PhD in Information Systems from the Alliance Manchester Business School (completed in 3 years) and a Master’s in Advanced Computing with Distinction from the University of Manchester. His research focuses on AI-driven manufacturing optimization, digital twins, and nature-inspired algorithms, published in top journals and conferences. Dr. Ogunsakin teaches modules such as Data Analytics, Information Systems, and Digital Strategy at Keele and other UK universities. He collaborates with IBM, MongoDB, and The Very Group on research and curriculum development. He supervises self-funded PhD students in Data Analytics, Industry 4.0, and AI applications. Key awards include the Best Graduating Student Prize at the University of Port Harcourt (Nigeria) and a Master’s Distinction. His research spans adaptive manufacturing systems, stigmergic approaches to mass personalization, and explainable AI in finance. Recent work includes digital twins architecture and heuristic-based cloud optimization frameworks. He actively bridges academia and industry through consulting and entrepreneurship.