Find Academic Supervisors

• Artificial Intelligence
• Multidisciplinary Research
• Behavioral Modelling
• +6 more

Dr. Bianca Ogbo is a Lecturer in Computer Science at Teesside University, affiliated with the School of Computing, Engineering and Digital Technologies and the Department of Computing & Games. She holds a PhD in Computer Science (2023) from Teesside University, an MSc in eBusiness (2014) from Oxford Brookes University, and a BSc in Information Systems and Software Engineering (2011) from Oxford Brookes University. Previously, she worked in industry as a Business Analyst, Bill of Material Analyst/Engineer, and Business Intelligence Consultant before transitioning to academia in 2021 as part-time staff, later becoming full-time in 2023. Her research focuses on artificial intelligence, evolutionary game theory, and technology adoption dynamics, with interests in behavioral modelling, agent-based simulations, and coordination dynamics. She actively contributes to AI projects targeting industry 4.0 and collaborates on business intelligence applications. Teaching-wise, she instructs modules in Big Data, Business Intelligence (using PowerBI), Research Methods, and the Masters in Applied Data Science and AI programs. She also supervises final-year projects for undergraduate and master’s students. Her research outputs emphasize computational models of coordination in technology adoption, with recent works published in journals like Adaptive Behavior and conference proceedings such as ALIFE. Notable themes include prior commitment mechanisms in multi-agent systems and evolutionary dynamics of group cooperation. She has been cited in multiple academic platforms and contributed to Mendeley readership. Dr. Ogbo is committed to curriculum development in AI education, integrating industry best practices and innovative teaching methods. She leads initiatives in project-based learning and collaborates on AI companion development projects to bridge academia and industry needs.

Brygg UllmerView profile

Professor

• Tangible User Interfaces
• Human-Computer Interaction
• Computational Genomics
• +7 more

Brygg Ullmer is a Professor at Clemson University's School of Computing and Chair of the Human-Centered Computing Division. He leads the Tangible Visualization group, focusing on Tangible User Interfaces (TUIs) Computational Genomics Interactive Computational STEAM Rapid Physical/Electronic Prototyping Computationally-Mediated Art and Design His work bridges physical and digital domains, with applications in K-12 education, high-performance computing, and culturally-rooted design. Research trends from his 15 most recent articles show a focus on Generative AI for cyberphysical systems Shape-changing interfaces Token+Constraint interaction models Genomics data visualization Hybrid tangible-gestural interfaces Multi-display collaboration These span both theoretical and applied work in computer science, biology, and design. Ullmer has held significant roles including Postdoctoral work at Zuse Institute Berlin Associate Professor at Louisiana State University (CCT & Computer Science) Visiting Lecturer at Hong Kong Polytechnic University Contributions to IBM Systems Journal and special editions of Springer's Personal and Ubiquitous Computing He has also co-edited journal special issues and served on conference committees. His scientific contributions include co-invented U.S. patents (6164541, 6263507, 6259441) related to Invisible hyperlinking Audiovisual data browsing Digital video time-shifting These patents reflect early innovations in tangible interface technology that have influenced modern interactive systems.

Usman AdeelView profile

Associate Professor

• Distributed Sensing Systems
• Mobile Sensing
• CrowdSourcing
• +5 more

Dr. Usman Adeel is an Associate Professor in Computer Science at Teesside University, specializing in Distributed Sensing Systems, IoT, and Smart Cities. He holds a PhD in Computing from Imperial College London (thesis: "Socio-economic aware data forwarding in mobile sensing networks and systems"). Previously, he worked as a Research Scientist at Intel Labs Europe (ICRI for Sustainable Connected Cities) and as a Research Associate at Imperial College London. His research focuses on Mobile Sensing, Low Power Networks, and Cyber-physical Systems. Recent work includes energy-efficient routing protocols for wireless sensor networks and intrusion detection systems for SDN-based VANETs. He leads the DUR007 project on Sustainable Drainage Systems innovation, emphasizing system innovation and water management. Key contributions span cybersecurity (e.g., IP camera vulnerability analysis) and biomedical applications (EEG-based brain-computer interfaces). No scientific awards are explicitly mentioned. He has supervised 2 academic works and collaborates widely in IoT, smart cities, and network security domains.

Shivani ShuklaView profile

Associate Professor

• AI
• Computer Vision
• Optimization
• +4 more

Dr. Shivani Shukla serves as the Associate Dean and Full-Time Faculty member at the School of Management, University of San Francisco. She holds an MS in Statistics from Gujarat University (2009) and a PhD in Management Science from the University of Massachusetts (2017). Her expertise bridges AI, computer vision, optimization, and reinforcement learning applied to cybersecurity and intelligent systems. She leads the Business Analytics programs and chairs the Undergraduate Program Committee. Her research explores cybersecurity investments in supply chain networks, rideshare behavior modeling, and urban mobility innovations. Awards include the 2024 Teaching Innovation Award and 2019 Outstanding Research Award. She advises on tech-driven business strategies and collaborates with industry partners to bridge academic and practical applications. Her work spans cybersecurity economics, autonomous vehicle adoption patterns, and sustainable urban planning. Notable projects include analyzing iterative AI code generation risks and piloting autonomous vehicle rider programs. She has published in journals like European Journal of Operational Research and Annals of Operations Research , focusing on game theory models for competitive security investments and network vulnerability assessments.

Amol MaliView profile

Associate Professor

• Data Science
• Internet of Things
• Artificial Intelligence
• +7 more

Amol Mali is an Associate Professor in the Department of Computer Science at the University of Wisconsin-Milwaukee, currently on sabbatical for Spring 2025. His research bridges theoretical AI with practical applications across diverse domains, leveraging his interdisciplinary background spanning computer science and mechanical engineering. Education PhD, Computer Science, Arizona State University, Tempe, May 1999 MS, Mechanical Engineering with specialization in Robotics, Indian Institute of Technology, Kanpur, India, June 1994 BS, Engineering in Mechanical Engineering, Victoria Jubilee Technical Institute (VJTI), University of Bombay, India, July 1991 Research Interests Dr. Mali's work spans Data Science , Internet of Things , and Artificial Intelligence with specialized focus on Planning , Autonomous Agents , and Computer Game Design . His research extends to Robot Motion Planning and AI in Healthcare , while actively addressing Ethics, Diversity, Inclusion, and Equity implications in technology development and Higher Education practices. Publication Trends His 2016-2023 publications reveal a strong emphasis on AI applications in gaming (machine learning, motion planning, symbolic systems), health-focused AI/IoT implementations, and human-computer interaction innovations like ergonomic keyboard design. Work consistently connects theoretical AI frameworks to real-world problem-solving across healthcare, education, and accessibility domains. Scientific Awards No scientific awards were mentioned in the provided information. Advising and Grants The available documentation does not specify doctoral advisees, grant funding, or research team leadership roles. Labs and Teams No dedicated research laboratories or collaborative teams are referenced in the source material.

Martin CooperView profile

Senior Lecturer

• Software Engineering
• Web Development
• Mobile Technologies
• +3 more

Martin Cooper is a Senior Lecturer in Software Engineering, Graphics, and Multimedia at the School of Computing and Digital Technologies, part of the College of Business, Technology, and Engineering. With over a decade of experience as a commercial trainer, he specializes in web development technologies including HTML5, CSS3, JavaScript, PHP/MySQL, and mobile web systems. His teaching focuses on Software Engineering, Game Software Development, Web Systems, and Network Security, with courses like Web Application Development and Professional Development Project. His research explores the intersection of technology and mental health, particularly through digital tools for cognitive analytic therapy. Notable projects include developing mobile apps to enhance relational awareness in clinical settings, employing mixed-methods approaches for evaluation. Cooper’s work emphasizes user-centered design principles in healthcare technology, aiming to bridge clinical practices with innovative software solutions. His publications highlight collaborations in digital health interventions and mobile app development for therapeutic applications.

Leon FosterView profile

Researcher

• Sports Engineering
• Performance Analysis Systems
• Materials Testing
• +3 more

Dr. Leon Foster is a Researcher at the Centre for Sports Engineering Research (CSER) at Sheffield Hallam University, specializing in performance analysis systems and materials testing. He holds a MEng in Sports Engineering from the University of Bath and a PhD from Sheffield Hallam University (2012), focusing on technology's influence on athletic performance. His work includes developing hardware/software tools for elite athletes and public-use technologies via the EU-funded ProFit project. He manages laboratory equipment, teaches on MSc Sports Engineering and BSc Sports Technology courses, and supervises PhD students. Research focuses include auxetic materials for sports safety (e.g., helmets), athlete performance monitoring, and non-motorized mobility modeling. Collaborations involve Manchester Metropolitan University, TU Delft, and the English Institute of Sport. His expertise spans sports equipment design, biomechanics, and applied computing. He has delivered public lectures on physics in sports and contributed to blogs analyzing athletes like Usain Bolt. Current Projects: EIS Innovation Partnership, Auxetics for Safety Equipment, SETA Horizon 2020 Teaching Modules: Sports Mechanics (module leader), Mechanics of Sports Equipment His lab-developed protocols evaluate protective equipment safety. CSER, led by Dr. David James, is a global leader in sports engineering, partnering with organizations like FIFA and Adidas.

Adrian ALEXANDRESCUView profile

Associate Professor

• Internet technologies
• Web services
• Distributed systems
• +5 more

Adrian ALEXANDRESCU is an Associate Professor at the Department of Computer Science and Engineering within the Faculty of Automatic Control and Computer Engineering at “Gheorghe Asachi” Technical University of Iași. He is a member of the Open Infrastructure Research Center and specializes in interdisciplinary research areas such as blockchain technology, distributed systems, artificial intelligence (genetic algorithms, neural networks), and IoT applications. His work bridges theoretical computer science with practical implementations in education, healthcare, and smart technologies. His research interests focus on leveraging blockchain for secure transactions, optimizing distributed systems, and enhancing e-learning through gamification. He has contributed to projects involving sensor networks for health monitoring, real-time driver sobriety tracking, and decentralized identity management systems. His academic contributions span over 20 years, with notable work on genetic algorithms for task mapping in heterogeneous systems and cloud-based solutions for ambient assisted living. Dr. ALEXANDRESCU’s publications emphasize blockchain’s role in trustless systems, IoT-driven healthcare environments, and AI-driven solutions for education and logistics. His work on decentralized article retrieval systems and plagiarism detection frameworks underscores his commitment to ethical and efficient digital ecosystems. Despite no explicitly listed awards, his prolific publication record reflects sustained academic excellence. He advises on projects at the intersection of cloud computing, distributed architectures, and smart technologies. His labs and collaborations focus on developing scalable solutions for real-world challenges such as secure real estate transactions and community-driven academic publishing systems.

Jose M. VidalView profile

Professor

• Multiagent Systems
• Agent-based Modeling
• Algorithmic Game Theory
• +7 more

Jose M. Vidal is a Professor and Director of Undergraduate Studies in the Computer Science and Engineering department at the Molinaroli College of Engineering and Computing, University of South Carolina . He holds a Ph.D. in Computer Science and Engineering from the University of Michigan (1998), an M.S. in Computer Science from Rensselaer Polytechnic Institute (1991), and a B.S. in Computer Science and Engineering from MIT (1990). His research focuses on multiagent systems , spanning theoretical aspects like coordination mechanisms, algorithmic game theory, and distributed algorithms, as well as implementation in agent-based simulations, web services, and mobile applications. He has authored numerous publications in fields including healthcare process optimization, traffic engineering, and sociological theory construction. 2019: Ad Hoc Vehicle Platoon Formation (Traffic Engineering) 2019: Wikitheoria for Sociological Theory Construction 2018: Email Intent Classification using Deep Learning 2017: Intelligent Transportation Systems using Mobile Data 2016: Healthcare Workflow Simulation Models 2014: Behavioral Modeling from Observational Data He has received significant funding from the NSF, Darpa, and industry partners for projects like Wikitheoria (a collaborative theory-building platform), TargetShare (resource allocation), and mobile healthcare applications. His work bridges theoretical research with practical implementations in domains ranging from traffic systems to hospital operations.

• Game Development
• Artificial Intelligence
• Computational Narrative
• +2 more

Dr. Alireza Shirvani is a Professor of Practice in Computer Science at Tulane University. His research specializes in game development and artificial intelligence, with particular focus on computational narrative systems. He develops methods for generating interactive stories and enhancing virtual character believability using narrative planning techniques. His work includes the Camelot platform, a customizable virtual environment that serves as a 3D presentation layer for AI algorithms. This system enables visualization of interactive narratives and character behaviors across different programming environments. Dr. Shirvani's publications explore personality modeling for story characters, emotion-aware narrative planning, and multi-agent story management systems. His research contributes to both game development and interactive storytelling technologies.

• Human-Computer Interaction
• Artificial Intelligence
• Software Engineering
• +7 more

Nadeem Faisal is an Assistant Professor at National Textile University, Pakistan , a Postdoctoral Researcher at the IVU Laboratory (Department of Computer Science, University of Bari, Italy), and a Senior Researcher with the Human Communication and Interaction Group (University of Oviedo, Spain). His academic journey spans 15+ years of teaching and research in Human-Computer Interaction (HCI) , Artificial Intelligence , and Software Engineering . Current Roles : Assistant Professor (NTU), Postdoctoral Researcher (IVU Lab, Bari), Senior Researcher (HCI-RG, Oviedo) Key Research Areas : Software requirements, AI, UX design, smart systems, human-centered technology Education : B.S. Information Technology (2005, AIOU, Pakistan) M.S. Computer Science (2009, Blekinge Institute of Technology, Sweden) Ph.D. Computer Engineering (2017, University of Oviedo, Spain) Research Trends from his 15 most recent publications (2023–2025) show sustained focus on Human-Computer Interaction (mobile UX, educational apps), AI/ML applications (medical imaging, crop disease detection, sentiment analysis), and Smart Systems (IoT, security surveillance). His work bridges technical innovation with real-world applications in healthcare, education, and sustainability. Scientific Collaborations : EU-funded research contributions International partnerships with institutions in Spain, Sweden, and Italy Advising : Supervised 40+ postgraduate students across AI, HCI, and software engineering. Current research involves mentoring teams in deep learning for medical imaging at IVU Lab and developing augmented reality tools for special education. Labs & Teams : IVU Laboratory (University of Bari, Italy) Human Communication and Interaction Group (University of Oviedo, Spain) Collaborative projects with institutions in Sweden, Spain, and Pakistan

Scott A. KuhlView profile

Associate Professor

• Computer Graphics
• Virtual Reality
• Immersive Virtual Environments
• +3 more

Scott A. Kuhl is an Associate Professor of Computer Science at Michigan Technological University, with an affiliated appointment as an Associate Professor in Psychology and Human Factors. He holds a PhD in Computer Science from the University of Utah (2009) and undergraduate degrees in Computer Science and Mathematics from Augsburg University. His research focuses on computer graphics, immersive virtual environments, head-mounted displays (HMDs), and human spatial perception, with an emphasis on improving VR technologies for practical applications. He leads the Husky Game Development Enterprise (HGD), where students create games for business, education, and entertainment, releasing titles on platforms like itch.io. He advises on curriculum development for robotics and automation education, emphasizing open-source tools and industry collaboration. His work is supported by grants such as the NSF-funded Immersive Visualization Studio (CNS-1229297). Dr. Kuhl’s labs include the Immersive Visualization Studio (50-megapixel display with Vicon tracking) and the Virtual Environment Lab (WorldViz PPT tracking, NVIS nVisor ST HMD). He has received awards including the Best Full Paper at VRST 2009 and the Best ATMAE Conference Proceedings Paper in 2016. His research spans human perception in VR, HMD design, and interdisciplinary education. Grants and collaborations include partnerships with industry and academic institutions to enhance robotics education and VR technology. He mentors students in game development, virtual reality research, and perceptual studies, fostering a dynamic research and educational environment at Michigan Tech.

• Computer Science
• Digital Media
• Web Technologies
• +1 more

Matthew Prichard is a Senior Lecturer in the School of Computing and Mathematical Sciences at the University of Greenwich. He leads modules including Digital Media Design, Programming for Game and Digital Media, Web Technologies, and Enterprise Web Software Development. His research focuses on computer science applications in digital media and web development, emphasizing practical implementation in academic curricula. No specific awards, grants, or labs are detailed in the provided information.

Mark ClaypoolView profile

Professor

• Multimedia Networking
• Congestion Control
• Network Games
• +2 more

Mark Claypool is a Full Professor in the Department of Computer Science and Interactive Media & Game Development at Worcester Polytechnic Institute (WPI). He joined WPI in 1997 after completing his Ph.D. at the University of Minnesota. His research spans multimedia networking, congestion control, network games, and information filtering, with over 100 peer-reviewed publications and two books on computer games. Education: B.A. Mathematics, Colorado College (Magna Cum Laude, 1990) M.S. Computer Science, University of Minnesota (1993) Ph.D. Computer Science, University of Minnesota (1997) Claypool's research integrates networking and gaming, focusing on latency effects, quality of experience (QoE), and cloud-based systems. Recent work examines frame rate variations, input delay, and network turbulence in cloud gaming (e.g., Google Stadia). He also develops tools like Reflex for reaction-time measurement and contributes to TCP protocol improvements for wireless networks. His publications show a strong trend toward empirical studies of gaming QoE, with 2022-2025 papers analyzing latency compensation, player skill, and cloud-streaming robustness. This work bridges human-computer interaction and network systems, often using custom software for controlled experiments. Claypool chairs ACM conferences on networks/games and serves on technical program committees. He created the Dragonfly game engine for educational use and has advised projects on game development and network optimization.

Paulo CostaView profile

Professor

• Cybersecurity
• Decision Support Systems
• Probabilistic Ontologies
• +4 more

Paulo Costa is a Professor and Chair of the Department of Cyber Security Engineering at George Mason University's College of Engineering and Computing. He also directs the Center of Excellence in C5I and serves as Vice President for Securing Automation at CyManII. His expertise spans cybersecurity, decision support systems, and probabilistic ontologies. Costa holds a PhD in Information Technology from GMU, with earlier degrees in Systems Engineering and Brazilian Air Force Academy training. Research focuses on Bayesian reasoning applications in cyber-physical systems, information fusion, and semantic technologies. Key projects include PR-OWL (probabilistic ontology language), ADS-Bsec (secure aviation communication), and cybersecurity frameworks for semiconductor manufacturing. He leads the ETUR Working Group on uncertainty reasoning and has pioneered tools like UnBBayes-MEBN for probabilistic reasoning. Grants: Includes $3.9M for cybersecurity scholarships and projects under DOE's Cybersecurity Manufacturing Innovation Institute. Awards: Peggy Brouse Cybersecurity Educator Award, multiple best paper awards, and the Eduardo Gomes Medal. Leadership: IEEE Senior Member, ISIF Board member, and affiliated with Brazilian universities. Teaching includes courses on cybersecurity, probabilistic reasoning, and systems engineering. Advises over 20 PhD students and has mentored teams in national competitions.