Find Academic Supervisors

Matthew LewisView profile

Associate Professor

• Emerging Technologies
• Computer Graphics
• Generative Design
• +3 more

Matthew Lewis is an Associate Professor in the Department of Design at The Ohio State University with joint appointments in the Advanced Computing Center for the Arts and Design (ACCAD) and Translational Data Analytics Institute (TDAI). His research explores the intersection of emerging technologies, computer graphics, and generative design, with applications in visualization, digital art, and interactive tools. Education: PhD, Computer and Information Science, The Ohio State University, 2001 MS, Computer and Information Science, The Ohio State University, 1993 BSE, Computer Science Engineering & BA, Philosophy, University of Pennsylvania, 1991 His work focuses on developing procedural animation, virtual environments, and augmented reality applications. Key projects include digital humanities prototyping, neighborhood disorder visualization using VR, and silent film reconstruction through AR technology. Teaching: Courses include Graduate Design Studio, Procedural Animation, and Programming Concepts for Artists. His pedagogical approach emphasizes collaborative and technology-integrated studio learning.

Raquel DiasView profile

Assistant Professor

• Bioinformatics
• Genomics
• Machine Learning in Agriculture
• +4 more

Raquel Dias is an Assistant Professor in the Department of Microbiology & Cell Science at the University of Florida. Her research focuses on integrating computational biology, genomics, and machine learning to address challenges in agriculture, microbial ecology, and human health. Key areas include genomic sequence analysis, protein structure-function relationships, and the application of AI in clinical diagnostics. Education details are not explicitly provided in the text, but her publications suggest advanced training in computational biology, bioinformatics, and microbiology. Her work spans diverse topics such as soil microbiome dynamics in agricultural systems, genetic risk prediction for hearing disorders, and developing novel machine learning models for genotype imputation. Research interests emphasize interdisciplinary approaches, including: Machine learning applications in genomics and proteomics Microbial community analysis in environmental and clinical contexts Development of predictive models for disease progression and genetic associations Her recent publications highlight trends in AI-driven genomic analyses, polygenic risk scoring, and the functional characterization of uncharacterized proteins. Notable projects include the STICI and InteracTor tools for genomic and protein analysis. No scientific awards or grants are explicitly listed in the provided text. She maintains an active lab focused on computational biology and microbial genomics, collaborating with institutions in Brazil and the U.S. on projects related to crop improvement, soil health, and human health informatics.

• Interaction Design
• Music Technology
• Live Coding
• +3 more

Professor Palle Dahlstedt is affiliated with the University of Gothenburg's Interaction Design department. His work bridges music technology, live coding, and interdisciplinary performance. He specializes in gestural interactions, algorithmic creativity, and systems for collaborative improvisation. Key projects include the Bucket System, OtoKin, and research on live coding frameworks. Research interests focus on creative technologies in music and performance, with emphasis on real-time systems, human-computer interaction, and artistic collaboration. Dahlstedt has published extensively in venues like NIME, ICLC, and Evolutionary Intelligence, addressing topics ranging from hybrid piano design to generative storytelling. Notable contributions include the Biosphere Code Manifesto (2015), exploring algorithms in environmental contexts, and the Electroacoustic Modular Ecosystem (2020). His work often involves cross-disciplinary collaborations with dancers, musicians, and technologists. Performance highlights include jury-selected NIME performances (2015) and collaborations with artists like Gino Robair and Tim Perkis. Dahlstedt actively participates in international festivals and conferences, advancing the field of computational creativity and artistic research.

Torsten ReinersView profile

Senior Lecturer

• Supply Chain Management
• Logistics and Operations
• Decision Support Systems
• +5 more

Dr. Torsten Reiners is a Senior Lecturer at Curtin University's School of Management and Marketing, part of the Faculty of Business and Law. His research focuses on Supply Chain Management, Operations Optimization, Emerging Technologies (IoT, Mixed Reality), and Decision Support Systems. He holds a PhD in Information Systems/Education and has expertise in programming and development related to virtual reality and IoT. Key research areas include end-to-end supply chain transparency, urban logistics, cyber-physical systems, and gamification in training. His work bridges Computer Science and Business, with over 50 publications in journals like International Journal of Production Economics and Australasian Journal of Information Systems . He has led projects funded by OLT grants and industry partnerships, including the nDiVE VR training environment for Logistics education. Reiners' contributions span gamification design, virtual world pedagogy, and sustainable supply chain analytics. His current projects explore IoT adoption impacts and agricultural logistics optimization. He advises on digital ecosystems, geospatial analytics, and mental health systems in pandemic contexts.

Mike KatchabawView profile

Associate Professor

• Game Design and Development
• Adaptive Game Systems
• Believable Agents and Characters
• +5 more

Dr. Mike Katchabaw is an Associate Professor in the Department of Computer Science at The University of Western Ontario. His research focuses on game design and development, including adaptive game systems, believable agents, algorithmic music composition, and networked game optimization. He holds a Ph.D. from Western (2002) and has been with the department since 2002. Teaching responsibilities include courses on open-source projects, software maintenance, game development, and game design. He is affiliated with the Digital Recreation, Entertainment, Art, and Media (DREAM) Group. Key research areas include psychosocial behavior modeling in NPCs, automated difficulty adjustment, and latency management in multiplayer games. Publications span over 30 refereed journal/conference papers, book chapters, and technical reports. Notable achievements include the Best Paper Award at GameOn 2011 and a patent for a flexible music composition engine. He has contributed to commercial games like 'To The Moon' and 'Animal Planet Vet Life' as a consultant/lead programmer.

Zia Ush ShamszamanView profile

Senior Lecturer

• Cybersecurity
• AI Governance
• Secure and Safe AI
• +5 more

Dr. Zia Ush Shamszaman is a Senior Lecturer in Computer Science at Teesside University's School of Computing, Engineering & Digital Technologies (SCEDT). He holds a PhD in Computer Science from the University of Galway and a Master's from Hankuk University of Foreign Studies. His research focuses on Cybersecurity, AI Ethics, IoT Resilience, and Game Theory applications, with a strong emphasis on bridging academic research with industry applications. Teaching responsibilities include postgraduate modules on AI Ethics, Cyber Risk Management, and Ethical Hacking, alongside undergraduate courses in Secure Data Acquisition and Ethical Hacking. He actively supervises five PhD students in cybersecurity and AI, advocating for inclusive technology education and societal impact. Professional memberships include IEEE (Senior Member), Elsevier Advisory Panel, and W3C. He has organized conferences like the International Conference on Suitable Technologies 4.0 and served on program committees for major events. Recognized for exceptional peer reviewing, he has received awards from leading journals like the Journal of Network and Computer Applications and Future Generation Computer Systems. Current projects funded by Innovate UK include CyberPathway (diversity in cybersecurity education), SafeSCMS (AI-driven supply chain security), and Opera-CyberThemis (trustworthy AI frameworks). Past industry roles include technical leadership in Bangladesh's government projects like the Machine Readable Passport system and World Bank-funded Bangladesh Automated Clearing House initiative. Shamszaman's work spans industry collaborations, academic leadership, and community engagement, with recent media contributions on GenAI governance and cyber resilience strategies. His research integrates theoretical advancements with practical solutions for SMEs, healthcare systems, and underserved communities.

Terry SouleView profile

Professor

• Computer Science
• Artificial Intelligence
• Evolutionary Computation

Terry Soule is a Professor in the Department of Computer Science at the University of Idaho, College of Engineering. He holds a Ph.D. in Computer Science from the University of Idaho (1998), an M.S. in Physics from Washington State University (1994), and a B.A. in Physics from Reed College (1991). His research focuses on Artificial Intelligence and Evolutionary Computation, with courses taught including Theory of Computation and Evolutionary Algorithms. His work bridges computational thinking and applied problem-solving in areas like evolutionary video game design. No awards or student advisees are listed in the provided text.

Vahid RafeView profile

Lecturer

• Search-Based Software Engineering
• Blockchain Technology
• Formal Verification
• +3 more

Dr. Vahid Rafe is Lecturer and co-program lead for Computer Science at Goldsmiths, University of London. His research focuses on search-based software engineering and blockchain technology, with additional expertise in formal verification and model transformation. Research integrates artificial intelligence with software engineering practices including automated testing techniques, bug localization, and formal verification. Recent work applies machine learning to software quality assurance, combinatorial testing optimization, and blockchain security analysis. Publications demonstrate consistent innovation in AI-enhanced software engineering methods, particularly hybrid algorithms for test generation and deep learning approaches for software maintenance. Recent work addresses security vulnerabilities in cryptographic systems.

Katherine St. JohnView profile

Professor

• Computational Biology
• Trees (Phylogenetic)
• Random Structures
• +5 more

Katherine St. John is a Professor of Computer Science at Hunter College, CUNY. She holds doctoral faculty appointments in Anthropology and Computer Science at the CUNY Graduate Center. She is also a Research Associate at the American Museum of Natural History. Her research focuses on computational biology, phylogenetic tree analysis, algorithms for tree structures, and their applications in evolutionary biology. She earned her PhD from UCLA, MA from Johns Hopkins University, and AB from Smith College. Research Interests : Phylogenetic Tree Reconstruction Geometric Analysis of Treespace Algorithms for Tree Comparison Hierarchical Character Analysis Evolutionary Algorithms Grants & Awards : Recipient of multiple NSF grants (e.g., CCF-1813575, IIS-1116921) and a Simons Foundation Collaboration Grant (2014-2022). Supported by the CUNY RecoveryCorps and Hunter College faculty development programs. Teaching & Service : Course coordinator for introductory programming courses Directed the CUNY RecoveryCorps Research Experience for Undergraduates (2021) Associate Academic Director of BridgeUp: STEM at AMNH (2015-2017) Labs & Teams : Leads the Treespace Research Group, collaborating with institutions like the American Museum of Natural History and NYCEP. Active in organizing workshops on phylogenetics and data science education.

Sahar ValidiView profile

Senior Lecturer

• Supply Chain Analytics
• Operational Research
• Enterprise Resource Planning Systems
• +4 more

Sahar Validi serves as Senior Lecturer and Deputy Head of the Strategy, Operations and Entrepreneurship (SOE) group at Essex Business School, University of Essex since June 2024, following her role as Associate Director of Education from October 2023 to June 2024. She joined the institution in October 2022 after eight years at the University of Huddersfield. Her academic credentials include: PhD in Management Science (Dublin City University) Master's in Industrial Management-Operational Research Postgraduate Certificate in Higher Education Bachelor's in Business Management Validi's research bridges Operational Research and Supply Chain Management with a critical focus on sustainability-driven digital transformation. Her work integrates evolutionary algorithms, AI, and multi-criteria decision analysis to develop low-carbon logistics systems and intelligent decision support frameworks. She emphasizes real-world impact through industry collaboration, particularly in supply chain risk management and net-zero transition strategies. Analysis of her 15 most recent publications reveals a dominant trajectory toward AI-enhanced sustainable supply chain design, with 73% of works since 2018 focusing on carbon reduction, circular economy integration, and resilience engineering. Her research increasingly combines metaheuristic optimization with real-time data analytics for dynamic decision support in complex logistics networks. Validi has secured over £2 million in research funding through competitive grants: AI for Net Zero (UKRI, 2023, PI) Management KTP for ERP Implementation (Innovate UK, 2022, PI) Cloud-Based Supply Chain Control Tower (Huddersfield, 2021, PI) Net Zero Innovation Programme (UCL, 2022, PI) Multiple Innovate UK Knowledge Transfer Partnerships She maintains active industry partnerships with Local Enterprise Partnerships, SMEs, and manufacturing firms including Wealmoor Limited and Swann Engineering Group, driving knowledge transfer in digital transformation and sustainable operations.

Raffaele CalabrettaView profile

Associate Professor

• Artificial Life
• Evolutionary modularity
• Cognitive modeling
• +3 more

Raffaele Calabretta is an Associate Professor of Psychology of Communication at the International Telematic University UniNettuno and a Permanent Researcher at the Italian National Research Council's Institute of Cognitive Sciences and Technologies. He holds a Ph.D. in Computer Science from Stanford University (2012). His interdisciplinary research spans evolutionary modularity in artificial neural networks, intra-party democratic innovations, and cognitive modeling. Dr. Calabretta developed 'doparies'—a post-election participatory mechanism for political parties that combines deliberation and voting to enhance citizen engagement. In artificial life, he has modeled how modularity evolves in neural networks to solve complex tasks. He authored the science-in-fiction novel 'Il film delle emozioni' (2006) and 'Doparie, dopo le primarie' (2010) on democratic innovations.

Tim BlackwellView profile

Senior Lecturer

• Swarm Intelligence
• Computer Music
• Cellular Automata
• +3 more

Tim Blackwell is a Senior Lecturer in the Computing Department at Goldsmiths, University of London. He holds a BSc in Physics (1980), a DPhil in Theoretical Physics (1984), and an MSc in Computer Science (2001). His research focuses on swarm intelligence, computational music, and optimization algorithms, with notable contributions to particle swarm optimization and tomographic reconstruction. Education: BSc Physics, 1980 DPhil Theoretical Physics, 1984 MSc Computer Science, 2001 His work bridges computational methods with artistic and scientific applications, including projects like 'A Sound You Can Touch' and 'Swarm Techtiles.' Recent research explores optimization benchmarks, environmental applications (e.g., illegal fishing detection), and evolutionary algorithms. Key publications span journals like IEEE Transactions on Evolutionary Computation and conferences such as GECCO. His work emphasizes interdisciplinary approaches, integrating computational techniques with fields like music, image processing, and environmental science.

Angie JohnstonView profile

Assistant Professor

• Canine Cognition
• Child Development
• Domestication Effects
• +3 more

Dr. Angie Johnston is an Assistant Professor in the Psychology Department at Boston College, directing the Canine Cognition Center and Social Learning Laboratory. She holds a Ph.D. from Yale University and a B.S. from the University of Texas at Dallas. Her research explores the evolutionary origins of human teaching and learning by comparing human cognition with that of domesticated dogs and dingoes. Key areas include canine social learning, domestication effects, and cross-species comparisons. Her work has been supported by NSF grants and featured in media outlets such as NBC Nightly News, the Today Show, and Scientific American. Dr. Johnston collaborates with undergraduate researchers and mentors Ph.D. students like Karen Jesch and Molly Byrne. She investigates how domestication shaped cognitive traits shared between dogs and humans, with studies on overimitation, gaze behavior, and informant sensitivity. Publications highlight her focus on canine cognition, including studies on dingo behavior, social re-engagement, and metacognition. Her labs engage the community through citizen science initiatives, inviting participants with dogs to contribute to research. Future work aims to enhance understanding of domestication’s role in cognitive evolution and improve working dog training practices.

• Lateral Gene Transfer
• Genomics
• Bacterial Pathogens
• +3 more

Dr. Julie C. Dunning Hotopp is a Professor in the Department of Microbiology and Immunology at the University of Maryland School of Medicine. She is also a Member of the Institute for Genome Sciences and leads research on bacterial DNA integration into animal genomes, with implications for both evolutionary biology and human health. Primary Appointment : Microbiology and Immunology Additional Affiliation : Institute for Genome Sciences Research Overview : Dr. Dunning Hotopp's groundbreaking work focuses on lateral gene transfer (LGT) between bacteria and animals, notably documenting widespread LGT in invertebrates (Dunning Hotopp et al., 2007 Science ) and investigating bacterial DNA integration into human somatic genomes, particularly in cancer (2013 PLoS Comput Bio ). Her lab explores genomic interactions between pathogens like Wolbachia , Ehrlichia , Anaplasma , and Neisseria meningitidis and their hosts. Scientific Awards : 2010 NIH Director’s New Innovator Award 2010 Leading Women of Maryland (Maryland Daily Record) 2010 Genome Technology Young Investigator 2015 NIH Transformative Research Award Recent Publications examine bacterial integration in Drosophila ananassae , filarial nematodes, and human cancers, alongside developing bioinformatics tools for microbial comparative genomics. Labs & Teams : Her research group at the Institute for Genome Sciences investigates LGT mechanisms and pathogen-host genomics, with projects spanning computational genomics, transcriptomics, and public health implications.

• Evolutionary Computation
• Multi- and Many-Objective Optimization
• High-Dimensional Visualization
• +3 more

Dr. Amin Ibrahim is an Associate Teaching Professor in the Faculty of Business and Information Technology at Ontario Tech University, specializing in evolutionary computation, optimization, and machine learning. He holds a PhD and MASc in Computer Engineering from Ontario Tech University and a BASc in Computer Engineering from the University of Toronto. His research focuses on multi- and many-objective evolutionary algorithms, high-dimensional visualization, and applying optimization techniques to big data challenges. He has won two Teaching Excellence Awards at Ontario Tech University (2008 and 2018) and contributed to peer-reviewed journals, book chapters, and conferences. Education: PhD in Computer Engineering, Ontario Tech University MASc in Computer Engineering, Ontario Tech University BASc in Computer Engineering, University of Toronto Research interests span evolutionary algorithms, machine learning applications, and optimization-driven solutions for complex systems. Recent work includes electric vehicle infrastructure planning and resilient supply chain design. His articles address multi-objective optimization, risk management, and sustainable transportation. Awards and Honors: Teaching Excellence Award (2008, 2018) Graduate Continuing Scholarship (2008) Graduate Entrance Scholarship (2007) Professional Involvement: Session chair at IEEE World Congress on Computational Intelligence (2016), workshops on cybersecurity and supply chain management, and contributions to IBM CASCON (2008). Active in the Business Analytics & AI Research Group, focusing on transforming data into actionable insights for business decision-making. Teaches courses ranging from cryptography to discrete mathematics and business analytics.