Find Academic Supervisors

Muneer AhmadView profile

Senior Lecturer

• Artificial Intelligence
• Data Science
• Healthcare Informatics
• +3 more

Dr. Muneer Ahmad is an experienced academic with over 22 years of international experience in teaching, research, and academic leadership within Computer Science, specializing in Artificial Intelligence, Data Science, and Healthcare Informatics. He currently serves as Senior Lecturer and Program Lead for the MSc Data Science at the University of Roehampton , UK, having previously held teaching and leadership roles in South Korea, Malaysia, Saudi Arabia, and Pakistan. Education: PhD in AI & Data Science His research is multidisciplinary and application-driven, focusing on AI for healthcare, precision agriculture, and industrial IoT. He leads large, diverse student cohorts and collaborates with academic teams to deliver inclusive education. Recognized as a Senior Fellow of Advance HE (SFHEA) , he emphasizes curriculum innovation and pedagogy. With over 100 peer-reviewed publications and £200,000+ secured funding, his work spans AI in healthcare diagnostics Smart urbanization Genomic data processing Cybersecurity Educational technology Industrial 4.0 He has supervised over 50 PhD/Master's students and serves on editorial boards of journals like Information and Bioengineering . Recent projects include AI-driven crop yield estimation, cervical cancer diagnosis, and pandemic resilience technologies.

Paul RodwayView profile

Senior Lecturer

• Artificial Intelligence attitudes
• Behavioral lateralization
• Aesthetic perception
• +3 more

Dr. Paul Rodway is a Senior Lecturer in Psychology at the University of Chester, Faculty of Health, Medicine and Society. He serves as the Department of Psychology's Academic Integrity Officer for Levels 5 and 6. With a career spanning multiple institutions including the University of Bradford and Abertay University, Dr. Rodway has established himself as a key figure in psychological research. Education: PhD in Experimental Psychology (University of Sussex, 1996), MSc in Intelligent Systems (Brunel University London, 1992), BSc Psychology (University of East London, 1990) Dr. Rodway's research focuses on Artificial Intelligence attitudes , behavioral lateralization , aesthetic perception , and decision-making factors . His work explores hemispheric specialization in humans and animals through studies on side preferences, limb dominance, and emotional processing asymmetries. Current research examines AI's educational impact and develops psychometric scales for measuring technology attitudes. Recent publications analyze AI adoption challenges in education, cross-cultural AI perceptions , and evolutionary theories of handedness . His empirical studies on art appreciation and consumer behavior reveal fascinating insights into shared semantic interpretations and spatial biases. As a dedicated educator, Dr. Rodway teaches Biological Psychology and Cognitive Psychology across undergraduate and postgraduate programs. He supervises research dissertations at all levels and has contributed to curriculum development through course design for biological psychology modules. Professional activities include membership in the Higher Education Academy since 2011 and extensive peer review experience for academic journals since 2000. His research on primate social networks and animal personality traits demonstrates interdisciplinary breadth.

Daniel CasasantoView profile

Associate Professor

• Cognitive Neuroscience
• Linguistic Relativity
• Cultural Psychology
• +2 more

Daniel Casasanto is an Associate Professor at Cornell University, investigating how bodily, linguistic, and cultural experiences shape cognition. His 'bodily relativity' hypothesis explores domain-specific associations between physical experiences and abstract concepts like time and emotion. Research integrates neuroimaging, gesture analysis, and cross-cultural fieldwork to uncover universal learning mechanisms behind cognitive diversity. Topics include spatial metaphors, temporal reasoning, and unconscious semantic processing. Casasanto teaches courses in cognitive neuroscience and research methods, employing tools like VR and TMS to study mental representation across populations.

Alexander L. WolfView profile

Professor

• distributed systems
• networking
• software engineering
• +3 more

Alexander L. Wolf is the Dean of the Baskin School of Engineering and a Distinguished Professor of Computer Science and Engineering at the University of California, Santa Cruz. He holds a B.A. in Geology and Computer Science from Queens College (CUNY), and M.S./Ph.D. degrees from the University of Massachusetts Amherst. His career includes foundational roles at AT&T Bell Laboratories, the University of Colorado (where he held the Charles Victor Schelke Chair), the University of Lugano (founding the Faculty of Informatics), and Imperial College London. Wolf's research bridges distributed systems , networking , and software engineering , with recent projects in cloud computing, data-center networking, and mobile ad hoc networks (MANETs). His work emphasizes scalable architectures, fault tolerance, and adaptive service deployment. Key projects include HARNESS (hardware-enhanced cloud systems) and SERECA (secure cloud enclaves). His publications focus on optimizing networked systems, fault localization, and adaptive resource management. Trends include rigorous simulation-based validation, cross-layer optimization (e.g., integrating GPUs/networking), and practical applications in geosciences (Reverse-Time Migration) and machine learning (Bing's AdPredictor). Awards: ACM/IEEE/AAAS Fellow; Royal Society-Wolfson Research Merit Award; Two-time ACM SIGSOFT Research Impact Award; ACM SIGSOFT Outstanding Research & Distinguished Service Awards. Wolf leads major grants (e.g., EU H2020 SERECA, EPSRC NaaS) and has chaired ACM's Executive Committee. He founded ACM's Europe Council and contributed to seminal tools like the Siena publish/subscribe system. His team develops experimental platforms (e.g., Weevil for distributed testbeds) and collaborates with industry (AT&T, Microsoft Bing).

• Computer Architecture
• Security
• Systems and Networking
• +3 more

Alex Richardson is a Lecturer in the Department of Computer Science and Technology at the University of Cambridge . His research focuses on Computer Architecture , Security , and Programming Languages , with emphasis on memory safety, capability-based systems, and software verification. Richardson's research spans critical areas in systems security, including pointer provenance, temporal and spatial safety for CHERI heaps, and capability enforcement for embedded devices. His work integrates formal methods with practical implementations to address vulnerabilities in software and hardware architectures. Richardson has contributed to advancements in Capability-Based Security , Embedded Systems , and Memory Management through collaborations on projects like CHERI and SOAAP. His publications highlight innovations in heap management, access control, and real-time operating systems for cyber-physical systems. He is associated with the Computer Architecture Group and maintains active involvement in improving secure system design. His contact details include the email alr48@cam.ac.uk and the office at GE15, William Gates Building , Cambridge.

Yoàv MontacuteView profile

Researcher

• Mathematical Logic
• Theoretical Computer Science
• Algorithms
• +3 more

Yoàv Montacute is a PhD student at the University of Cambridge's Department of Computer Science and Technology, affiliated with St John's College. His research focuses on mathematical logic, finite model theory, category theory, topology, and their intersections with theoretical computer science. He has been awarded the JST ACT-X grant (2024–2027) for research on symmetry in AI and received the Kleene Award (2022) for outstanding work in logic. Montacute holds a MSc in Logic from the University of Amsterdam and a PhD Premium Studentship from Cambridge. Education: PhD candidate (2020–present), MSc Logic (2018–2020) Grants: JST ACT-X, Alan Turing Enrichment Award His research interests span game comonads, dynamic topological logics, and categorical methods in finite model theory. He has published in top venues like LICS, AAAI, and CSL, with contributions to logic, topology, and computational complexity. Awards: Wiseman Award (2023), ACM Kleene Award (2022) Teaching: Supervised undergraduate projects on AI, complexity theory, and logic Montacute collaborates with institutions like the National Institute of Informatics (NII), University of Warsaw, and Kyoto University, and serves on program committees for Structure meets Power conferences.

John SimminsView profile

Research Professor

• Renewable Energy Systems
• Power Grid Management
• Augmented Reality Applications
• +3 more

Dr. John Simmins serves as Director of Alfred University's GE Vernova Advanced Power Grid Lab within the Inamori School of Engineering. His expertise spans renewable energy systems, power grid operations, and innovative technologies like augmented reality (AR) in utility settings. Previously, he led the New York State College of Ceramics' Center for Advanced Ceramic Technology (CACT) and worked at the Electric Power Research Institute (EPRI) for a decade, focusing on AR-AI-GIS integration and grid modernization. His research emphasizes AR's impact on utility worker safety, smart grid interoperability via Common Information Models (CIM), and distributed energy resource management. Key projects include optimizing grid automation through data analytics and developing geolocation systems for utility infrastructure using photographic imagery. He promotes workforce mobility solutions and sustainable energy policies through academic-industry collaborations. Dr. Simmins has advised on over 20 EPRI smart grid demonstration projects and pioneered tools for DER integration. His work bridges advanced ceramics research with contemporary energy challenges, including high-temperature superconductors and magnetic materials for early career contributions.

Youness DehbiView profile

Professor

• Geoinformatics
• 3D City Modeling
• Remote Sensing
• +7 more

Prof. Dr.-Ing. Youness Dehbi is a Professor for Computational Methods at HafenCity University Hamburg. His academic career includes roles as a postdoctoral researcher and scientific assistant at the University of Bonn's Institute of Geodesy and Geoinformation. He holds a Ph.D. in Computer Science from the University of Bonn (2016). His research focuses on geoinformatics, 3D city modeling, remote sensing, and applications in urban planning and disaster management. He has led projects such as VisioChick (enhancing animal welfare via mixed reality) and FPOplus (5G-based passenger flow management). Education: Ph.D. in Computer Science, University of Bonn (2016) M.Sc. and B.Sc. in Computer Science and Communication Research, University of Bonn (2008) Research Interests: Prof. Dehbi specializes in computational methods for spatial data analysis, including laser scanning, UAV missions, and semantic segmentation of historical maps. He explores applications in BIM, flood risk communication, and smart city technologies. His work bridges geoinformatics with urban sustainability and mixed reality. Awards: Best Paper Awards at multiple international conferences (2018–2024) Best Reviewer Award, ISPRS Congress (2021) Advising & Projects: He advises projects like NGCN (Next Generation City Networking) and collaborates with institutions like TU München and the University of Osnabrück. His team includes researchers like Dr. Son H. Nguyen and M.Sc. Lukas Arzoumanidis. Lab & Teams: His Computational Methods Lab at HCU develops tools for 3D city modeling and spatial data analysis, contributing to open-source geospatial software and collaboration with industry partners.

Benjamin BrackeView profile

Researcher

• Machine Learning
• Medical Imaging
• Computer Vision
• +3 more

Benjamin Bracke, M.Sc., is a researcher with a strong focus on interdisciplinary applications of machine learning and computer vision. His work spans medical imaging, biodiversity informatics, and educational technology. He has contributed to projects such as ImageCLEF challenges, advancing multimedia retrieval systems in healthcare and ecological contexts. Recent research includes diabetic foot ulcer diagnosis, snake species classification using multimodal data, and kidney tumor segmentation via U-Net architectures. Key research interests include machine learning pedagogy, integrating industrial projects into Master’s curricula, and developing automated solutions for medical diagnostics. His technical expertise lies in object detection, semantic segmentation, geospatial data fusion, and metadata-driven classification systems. Bracke’s publications demonstrate a decade-long commitment to medical engineering (e.g., femoral neck axis detection for hip surgeries) alongside modern AI applications. Despite no listed awards or grants, his work bridges academic research with practical clinical and ecological challenges. No lab affiliations or student advisements are explicitly mentioned in the provided texts.

Isaac WangView profile

Assistant Professor

• Human-Computer Interaction
• Augmented and Virtual Reality
• Intelligent Virtual Agents
• +3 more

Isaac Wang is an Assistant Professor of Computer Science at James Madison University (JMU), affiliated with the College of Integrated Science & Engineering. He holds a Ph.D. in Human-Centered Computing from the University of Florida (2022) and a B.S. in Computer Science from Seattle Pacific University (2015). His research focuses on Human-Computer Interaction (HCI), Augmented Reality (AR), Virtual Reality (VR), and intelligent virtual agents. He explores nonverbal communication in embodied agents, natural user interfaces, and gesture recognition in collaborative tasks. Education: Ph.D. Human-Centered Computing (University of Florida, 2022) B.S. Computer Science (Seattle Pacific University, 2015) Research interests include designing AR/VR systems for situational awareness, studying cross-cultural interactions with virtual agents, and developing multimodal authentication techniques. He teaches courses such as Algorithms and Data Structures (CS 240) and Application Development (CS 343). His work has been published in top conferences like CHI, IVA, and IUI, focusing on topics like gesture-based interaction, agent feedback strategies, and AR interface design. He advises no listed students but actively collaborates with institutions like Offenburg University (Germany) and maintains a lab focused on AR/VR applications. His GitHub repositories include tools for Kinect data analysis and AR system development.

Kevin ChengView profile

Senior Lecturer

• Personality Psychology
• Organizational Climate
• Leadership
• +3 more

Kevin Cheng is a Senior Lecturer at the Faculty of Business and Law's Centre for Sustainability and Responsible Management. He holds a PhD in Psychology from the University of Hong Kong (2003) and has held academic roles across the UK and Hong Kong, including at King’s College London and Lingnan University. His research focuses on personality psychology, organizational climate, leadership, and the impact of urban environments on well-being. Recent work explores how environmental factors influence personality development. Education: PhD (Psychology, University of Hong Kong, 2003), M.A. (Forensic Psychology, University of Western Sydney, 1998), B.Sc. (Psychology, University of New South Wales, 1996). Research interests include the interplay between urban design and mental health, pandemic-era work dynamics, and rating biases in organizational settings. He serves as an Associate Editor for Frontiers in Psychology and has contributed to media discussions on cultural clashes and pandemic narratives. Notable publications examine the effects of urban environments on personality, semantic network analysis of work ontology during lockdowns, and neuroticism's role in creative work evaluations. He has advised on sustainability initiatives like the Wandsworth Council Partnership workshop (2022).

Uli FahrenbergView profile

Professor

• Real-Time Systems
• Quantitative Verification
• Directed Algebraic Topology
• +2 more

Uli Fahrenberg is a Professor at Université Paris-Saclay and the Formal Methods Laboratory (LMF). He previously served as Head of the Automata and Applications research group at the EPITA Research Lab (LRE) until August 2025. He holds a PhD in Mathematics from Aalborg University and has worked at institutions including Aalborg University, IRISA Rennes, LIX (École Polytechnique), and EPITA Rennes. His research spans: Real-time systems : Modeling and verification of time-sensitive computational systems. Quantitative verification : Formal methods for analyzing probabilistic/timed systems. Directed algebraic topology : Applications in concurrency and spatial logic. Concurrency theory : Semantics and analysis of parallel processes. Categorical foundations : Abstract structures for theoretical computer science. His publications focus on advancing higher-dimensional automata, concurrency models, and formal verification techniques, with recent work exploring timed automata, pomsets, and algebraic frameworks for concurrent systems. Advising & Grants : Currently supervising PhD students Enzo Erlich (Université Paris Cité) and Safa Zouari (NTNU Gjøvik). Previously co-supervised Claus Thrane (PhD). Actively involved in PhD proposals on higher-dimensional automata and concurrency learning models. Labs & Teams : Leads the Automata and Applications group at LRE and co-founded the (i)Po(m)set Project—a collaborative initiative exploring concurrency theory, automata, and geometry. Key collaborators include researchers from NTNU, University of Warsaw, and École Polytechnique.

Sophia XenofontosView profile

Adjunct Professor

• Ancient Greek Literature
• Classical Philosophy
• History of Medicine
• +3 more

Dr. Sophia Xenofontos is an Affiliate in Classics at the University of Glasgow, specializing in ancient Greek literature, classical philosophy, and the reception of Plutarch and Galen. Her research explores ethical education in Plutarch's writings, Byzantine intellectual culture, and the interplay between medicine and moral philosophy in antiquity. She has led major research projects, including a Wellcome Trust-funded study on Galen’s works and an AHRC-funded project on Aristotle’s reception in Byzantium. Her contributions include critical editions of ancient texts, such as George Pachymeres’ commentary on Aristotle’s Nicomachean Ethics. Education and Academic Roles: While specific academic qualifications are not detailed, her extensive publications and leadership in international projects indicate advanced scholarly training. She teaches courses on ancient ethics, medicine, biography, and reception studies at both undergraduate and postgraduate levels. Research Interests: Central to her work are Plutarch’s ethical frameworks, Byzantine adaptations of classical texts, and Galen’s psychological theories. She examines themes like practical ethics, emotion regulation, and the cultural transmission of classical ideas across Byzantium and the Enlightenment. Publications and Grants: Over 40 peer-reviewed articles and books, including monographs on Plutarch’s moral education and Theodore Metochites’ works. Notable grants include a £248k Wellcome Trust Award and an AHRC grant for the George Pachymeres project. Advising and Networks: Supervises doctoral students in Byzantine history and ancient medicine. Collaborates with institutions like the Centre for the History of Medicine (Glasgow), the Berlin-Brandenburg Academy, and the University of Wisconsin’s Classical Tradition project. Labs/Teams: Active in interdisciplinary networks such as the Medical Humanities Group and the Leverhulme-funded Emotions through Time project. Organized key conferences on medical texts and psychotherapy history.

Pascal HitzlerView profile

Professor

• Neuro-Symbolic Artificial Intelligence
• Semantic Web
• Knowledge Graphs
• +4 more

Pascal Hitzler is the University Distinguished Professor and endowed Lloyd T. Smith Creativity in Engineering Chair at Kansas State University's Department of Computer Science within the Carl R. Ice College of Engineering. He serves as Director of the Center for Artificial Intelligence and Data Science (CAIDS) and Director (Research) of the Institute for Digital Agriculture and Advanced Analytics (ID3A). Previously, he held roles at Wright State University, including NCR Distinguished Professor and Director of Data Science. His academic journey includes a PhD in Mathematics from University College Cork (2001) and a Diplom in Mathematics from the University of Tübingen (1998). Affiliations: Kansas State University (2020–present), Wright State University (2009–2020), University of Karlsruhe (2004–2009), TU Dresden (2001–2004). Education: PhD in Mathematics (2001, UCC Cork), Diplom in Mathematics (1998, Tübingen). His research focuses on neuro-symbolic AI, semantic web technologies, knowledge graphs, and ontology modeling. Key contributions include founding editorships of the Neurosymbolic Artificial Intelligence and Semantic Web journals, co-authoring the Foundations of Semantic Web Technologies textbook, and pioneering ontology design patterns. His work emphasizes semantic web standards like OWL and integrates explainable AI with deep learning. Recent articles explore neuro-symbolic integration, geospatial knowledge graphs (KnowWhereGraph), and explainable AI through concept induction. He has received awards such as the SWSA Ten-Year Award (2020) and is a highly cited researcher in artificial intelligence. Grants and collaborations span digital agriculture, cybersecurity (K-CaTS), and interdisciplinary initiatives like the NSF-funded Global Food Systems Datahub. His DaSe Lab develops advanced semantic technologies, with projects including the Enslaved.org hub ontology and crisis management frameworks (HIP Ontology). Labs/Teams: Director of the DaSe Lab for Data Semantics, leading projects on knowledge graphs, neuro-symbolic AI, and geospatial data integration. Collaborates with institutions like the University of Notre Dame, Jönköping University, and IOS Press.

Slim EssidView profile

Professor

• Machine Learning
• Artificial Intelligence
• Signal Processing
• +5 more

Slim Essid is a Full Professor at Télécom Paris and coordinator of the Audio Data Analysis and Signal Processing (ADASP) group. He holds a PhD and HDR from Université Pierre et Marie Curie (UPMC). His research focuses on machine learning, artificial intelligence, and signal processing applied to temporal data analysis, including multiview learning, representation learning, and structured prediction. Applications span music content analysis (MIR), multimodal perception (e.g., EEG data analysis), and human behavior analysis. He has advised 15 PhD students and collaborated on over 14 post-doctoral projects. Education: PhD in Signal Processing, Université Pierre et Marie Curie (2005) Habilitation (HDR), Université Pierre et Marie Curie (2015) M.Sc. in Digital Communication Systems, Télécom ParisTech (2002) Engineer Degree, École Nationale d’Ingénieurs de Tunis (2001) Research interests emphasize multimodal learning, self-supervised representation learning, and audio-visual fusion. Key projects include sound-prompted segmentation, zero-shot audio captioning, and EEG-based auditory attention decoding. Over 150 peer-reviewed publications exist across conferences like NeurIPS, ICML, and journals like IEEE Transactions. Active in reviewing for top-tier venues and advising French/EU research projects. Labs/Teams: Member of the Signal, Statistics and Learning (S2A) research team and the Information Processing and Communication Laboratory (LTCI).