جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Multiagent Systems
• Trust and Reputation Models
• +۶ مورد دیگر

Robin Cohen is a Professor in the Department of Computer Science at the David R. Cheriton School of Computer Science, University of Waterloo. His research focuses on artificial intelligence, multiagent systems, trust and reputation models, user modeling, and the social implications of technology. He has held leadership roles including Associate Dean (Research) in the Faculty of Mathematics and Director of the BBA/BCS Program. Cohen has a Ph.D. (1983) and M.Sc. (1977) in Computer Science from the University of Toronto, and a B.A. in Mathematics (1975) from McGill University. His research spans trust modeling in electronic marketplaces, ethical AI, healthcare AI applications, and misinformation management. Notable contributions include frameworks for adjustable autonomy in multiagent systems and trust-based mechanisms to promote honesty in e-commerce. He has advised over 40 graduate students and supervised numerous undergraduate research assistants, contributing to a vibrant academic community. Recent work emphasizes AI ethics, healthcare innovations (e.g., CPR optimization via machine learning), and combating misinformation through multiagent trust systems. His awards include the 2023 CAN-CS Lifetime Achievement Award and the 2018 CAIAC Lifetime Achievement Award, reflecting his impactful career in AI research and education. Current research includes proactive hate speech detection using graph transformers and exploring ethical AI frameworks for autonomous vehicles. He maintains active collaborations in health informatics, social network analysis, and AI-driven educational technologies.

• Robotics
• Swarm Intelligence
• Human-Robot Interaction
• +۴ مورد دیگر

Dr. Danesh Tarapore is an Associate Professor at the University of Southampton, focusing on robotics, swarm intelligence, and human-robot interaction. He is affiliated with the Agents, Interaction and Complexity group, Southampton Marine and Maritime Institute, and the Centre for Robotics. His research emphasizes resilient robot swarms, human-swarm collaboration, and adaptive learning systems. Key Projects: Rapid fault-recovery strategies for resilient robot swarms (EPSRC-funded) Towards Flexible Autonomy for Swarms (Alan Turing Institute collaboration) Research Interests: Swarm robotics and decentralized control User-aware collaborative systems Resilient autonomous systems Human-robot teaming Publications Trends: Recent work (2023–2025) highlights advancements in human-robot collaboration, swarm resilience, and navigation in constrained environments. Notable contributions include multimodal datasets for social robotics and minimalist navigation frameworks for degraded-perception scenarios. Advising & Grants: Supervises six PhD students across topics like swarm intelligence and edge learning. Active in securing research funding from EPSRC and the Alan Turing Institute. Labs/Teams: Part of interdisciplinary teams advancing marine robotics, autonomous systems, and trustworthy multiagent systems.

• Multiagent Systems
• Reinforcement Learning
• Transportation Systems
• +۳ مورد دیگر

Behrad Koohy is a researcher at the University of Southampton specializing in multiagent systems, reinforcement learning, and transportation systems. His work focuses on adaptive pricing mechanisms, incentive engineering, and congestion game optimization for autonomous vehicle routing and traffic management. Research Highlights: Develops reinforcement learning algorithms for competitive congestion games Designs dynamic pricing strategies in multi-market routing problems Investigates citizen-centric AI applications in urban mobility Applies multiagent systems to traffic signal control optimization Recent Publications (2022-2025): Adaptive pricing and learning in multi-market routing Microtolling strategies for autonomous vehicle congestion Incentive design in citizen-centric AI systems Multiagent reinforcement learning for traffic signals

• Applied Data Science
• Human-centered Artificial Intelligence
• Privacy in Collaborative Systems
• +۴ مورد دیگر

Dr. Onuralp Ulusoy is a Researcher at Utrecht University's Faculty of Science, specifically within the Software Technology for Learning and Teaching department. Based at the Buys Ballot Building in Utrecht, he focuses on the intersection of privacy, artificial intelligence, and collaborative systems. His research spans Applied Data Science and Human-centered Artificial Intelligence, with particular emphasis on privacy mechanisms in online environments. Ulusoy's work explores how privacy norms emerge and can be managed in collaborative settings, especially within social networks. His publication record shows a clear trajectory in privacy research, evolving from foundational work on privacy auctioning mechanisms to more recent applications in learning analytics. His most cited work, 'PANOLA: A Personal Assistant for Supporting Users in Preserving Privacy' (2022), demonstrates practical applications of his theoretical frameworks. Recent publications indicate an expansion into educational technology with tools like 'mAIchart' for primary school educators. As a researcher at Utrecht University, Ulusoy has established himself as a specialist in privacy-preserving collaborative systems, with publications spanning top conferences in multi-agent systems, access control, and social network analysis.

Umberto Grandiمشاهده پروفایل

استاد

• Computational Social Choice
• Artificial Intelligence
• Digital Democracy
• +۴ مورد دیگر

Umberto Grandi is a Professor of Computer Science at Toulouse Capitole University and a member of the Toulouse Institute for Research in Computer Science (IRIT), affiliated with the LILaC team. He holds a PhD from the University of Amsterdam (2012) and an HDR (2021) from Toulouse Capitole University. His research bridges artificial intelligence and economic theory, focusing on computational social choice, judgment aggregation, voting models, and digital democracy. He leads the ERC Synergy-funded ADDI project (€9.8M), exploring digital tools to enhance democratic practices. Collaborators include experts from the University of Amsterdam, Toulouse School of Economics, and University of Turku. His work emphasizes open-source solutions for participatory democracy and ethical AI. Education: PhD (University of Amsterdam, 2012), HDR (Toulouse Capitole, 2021) Affiliations: IRIT, LILaC team, Université Toulouse Capitole Research interests include computational social choice, digital democracy, and AI ethics. Recent projects integrate social sciences to develop algorithms for equitable decision-making and moral planning agents. Key Award: ERC Synergy Grant (2024) Publications: Over 50 articles in AI and social choice theory Supervises PhD and master’s students in computational social choice and digital democracy. Active in teaching and international master programs like the MIAGE program.

Michael Barlowمشاهده پروفایل

استاد

• Serious Games & Games Technology
• AI & Multi-Agent Systems
• Simulation & Virtual Environments
• +۴ مورد دیگر

Professor Michael Barlow is a distinguished academic at The University of New South Wales , specifically affiliated with UNSW Canberra and the School of Systems & Computing . His work spans multiple disciplines, including Artificial Intelligence , Multi-Agent Systems , Simulation & Virtual Environments , and Trusted Autonomy . Barlow’s research delves into Machine Learning and Human-Computer Interaction , with a particular focus on Speech Science and Technology in earlier stages of his career. University: The University of New South Wales School: School of Systems & Computing Role: Professor and Head of School His research interests include Serious Games , AI & Multi-Agent Systems , Trusted Autonomy , and Human-Computer Interaction . He has pioneered work in Swarm Intelligence and Simulation Technologies , applying these to domains such as military training , unmanned vehicle coordination , and game design . Barlow’s publications reveal a consistent trend in interdisciplinary work, blending Artificial Intelligence with Human Factors . His recent studies focus on Human-Swarm Interaction and Behavioral Metrics in multi-agent systems, while earlier works explore evolutionary game theory , speech processing , and virtual environments . He has contributed extensively to teaching in Core Computer Science for undergraduates and postgraduates, with specialized courses in Games & Serious Games , Simulation Graphics , and Algorithms . His consulting interests align with his research, emphasizing Simulation , Virtual Environments , and AI/Agent Systems .

Pamela Briggsمشاهده پروفایل

استاد

• Digital Privacy
• Cybersecurity
• Social Media
• +۴ مورد دیگر

Pamela Briggs is a Professor of Applied Psychology at Northumbria University and a Visiting Professor at Newcastle University. She co-directs the UK's Centre for Digital Citizens , a £9m interdisciplinary collaboration with Edinburgh and UCL. Her research focuses on identity, trust, and privacy in digital environments, emphasizing digital inequality. Secured over £2m in research funding Authored 40+ publications on digital behavior Advised UK Government Office for Science and European Commission Founded the UK’s Research Institute in Sociotechnical Cybersecurity Research Themes intersect psychology, cybersecurity, and social media, addressing: Digital trust models and privacy dynamics AI ethics and inclusive security design Technosocial impacts on marginalized communities Policy frameworks for responsible data use Her work bridges academic research with government and industry collaborations, translating findings into actionable strategies for digital equity and security.

Hashem Ashrafiuonمشاهده پروفایل

استاد

• Nonlinear Control Systems
• Autonomous Vehicles
• Underactuated Systems
• +۷ مورد دیگر

Dr. Hashem Ashrafiuon is a Professor in the Department of Mechanical Engineering at Villanova University's College of Engineering. He directs the Heterogeneous Vehicles Lab (HAVLab) and the Unmanned Surface and Underwater Vehicles Laboratory, leading research in nonlinear control systems for autonomous vehicles and biomedical applications. Educational Background: Bachelor of Science in Mechanical Engineering Master of Science in Mechanical Engineering Doctor of Philosophy in Mechanical Engineering All degrees earned at State University of New York at Buffalo Research Focus: Dr. Ashrafiuon specializes in advanced control systems, with key areas including: nonlinear control, networked control of heterogeneous autonomous vehicles, underactuated system dynamics, and EEG-based diagnostics for neurological disorders. His work bridges engineering principles with biomedical applications, particularly in mobility assistance robotics and brain disorder analysis. Scientific Recognition: ASME Fellow IEEE Senior Member National Research Council Fellow (twice selected) Recognized as one of the Top 25 Mechanical Engineering Professors by Online Engineering Programs Senior Editor, Journal of Vibration and Control Associate Editor, Journal of Dynamic Systems, Measurement and Control Academic Contributions: Dr. Ashrafiuon has mentored multiple PhD students and led numerous research projects funded by government and private entities. His publications demonstrate expertise in spacecraft docking, autonomous navigation, and biomedical signal processing, with recent work focusing on: extremum seeking control for antenna pointing, iterative control frameworks for rockets, and cooperative localization systems for multi-vehicle networks.

• Multi-Agent Systems
• Human-Robot Interaction
• Game Theory
• +۷ مورد دیگر

Katia Sycara is a Research Professor at Carnegie Mellon University's Robotics Institute, part of the School of Computer Science. She also holds the Sixth Century Chair (part-time) in Computing Science at the University of Aberdeen, UK. Her research focuses on multi-agent systems, human-robot interaction, game theory, and adversarial reasoning. She leads the Advanced Agent-Robotics Technology Lab and has developed frameworks like the RETSINA multiagent infrastructure. Education: B.S. in Applied Mathematics (Brown University), M.S. Electrical Engineering (University of Wisconsin), Ph.D. Computer Science (Georgia Tech), Honorary Doctorate (University of the Aegean, 2004). Research interests include semantic web services, agent interoperability, crisis response systems, and negotiation support. She has pioneered work on the DAML-S language for semantic web services and contributed to the OASIS UDDI standard. Notable awards include the 2002 ACM SIGART Agents Research Award and AAAI Fellowship. She has led multimillion-dollar projects funded by DARPA, NASA, AFOSR, and ONR, focusing on applications like autonomous robotics, urban search and rescue, and enterprise integration. Awards: ACM SIGART Autonomous Agents Research Award (2002) AAAI Fellow (2002) IEEE Fellow (2013) Outstanding Alumnus (University of Wisconsin, 2005) Grants and Projects: Command and Control of Multi-Robot Teams (ONR) Games on Graphs (MURI/ONR) Urban Search and Rescue (NASA) Labs/Teams: Director of Advanced Agent-Robotics Technology Lab and contributor to the Semantic Web Science Association.

• Cybersecurity
• Artificial Intelligence
• Requirements Engineering
• +۵ مورد دیگر

Özgür Kafalı is a Lecturer at the School of Computing, University of Kent, and serves as the Ethics Officer. His research spans cybersecurity, artificial intelligence, and requirements engineering, with a focus on socio-technical systems and formal logic-based approaches. Key Research Areas: Cybersecurity-Privacy Intersections, Multiagent Systems, Normative Specifications, and Human-Centric AI. Teaching: Cyber Law, Software Development, Object-Oriented Programming, and Web Programming. His recent publications emphasize socio-technical system specification (e.g., DESEN, 2019), crowdsourcing security requirements (Çorba, 2020), and agent-based privacy violation detection (Protoss, 2012). He explores tradeoffs in normative systems (Kont, 2017) and applies AI to healthcare privacy (Activity Recognition, 2016). Özgür leads the Institute of Cyber Security for Society (iCSS) , collaborating with institutions like North Carolina State University and researchers such as Munindar P. Singh. His work integrates formal verification, machine learning, and empirical studies to address privacy in online social networks, e-commerce, and healthcare systems. Current projects include age-appropriate design assessments for digital platforms (2022) and value-based negotiation frameworks (2021).