جست‌وجوی استاد و پژوهشگر

Dayou Liمشاهده پروفایل

استاد

• Robotics
• Artificial Intelligence
• Nanotechnology
• +۵ مورد دیگر

Professor Dayou Li is a Professor of Robotics and Director of the Institute for Research in Applicable Computing (IRAC) at the University of Bedfordshire. He holds a BEng and MSc from Northern Jiaotong University (China) and a PhD from Cardiff University. His research focuses on robotic systems, AI, and nanotechnology, with expertise in multiagent systems, fuzzy logic, neural networks, and automatic control. He has led EU-funded projects under FP7/H2020 and collaborates internationally with institutions in Australia, Canada, China, Europe, Japan, and South Korea. Professor Li's teaching expertise includes Robotics, Artificial Intelligence, Software Engineering, and Programming. His research interests span e-Learning, machine learning, and robotics applications in healthcare and smart environments. He coordinates PhD and part-time student supervision, fostering interdisciplinary innovation through projects like the 5G-ERA platform for connected robotics and laser interference nanomanufacturing techniques for advanced materials. His work integrates robotics with emerging technologies such as swarm intelligence, SLAM algorithms for weak-environment navigation, and oxy-fuel combustion optimization for sustainable energy systems. He actively contributes to advancing robotic applications in smart cities, healthcare assistive devices, and nanoscale manufacturing processes.

Tuomas Sandholmمشاهده پروفایل

استاد

• Artificial Intelligence
• Game Theory
• Algorithms and Complexity
• +۱۲ مورد دیگر

Tuomas Sandholm is the Angel Jordan University Professor of Computer Science at Carnegie Mellon University, where he also holds appointments in the Machine Learning Department, the Ph.D. Program in Algorithms, Combinatorics, and Optimization, and the CMU/University of Pittsburgh Joint Ph.D. Program in Computational Biology. He serves as Co-Director of CMU AI and Director of the Electronic Marketplaces Laboratory. Dr. Sandholm's research spans artificial intelligence, economics, and operations research, with particular focus on algorithms and complexity, game theory, machine learning, and electronic commerce. His work involves developing incentive-compatible market mechanisms and efficient algorithms for executing those mechanisms, as well as designing software agents that act optimally in electronic marketplaces. His research has led to significant commercial applications, including systems fielded by CombineNet, Inc. that handled over $60 billion in spend. Sandholm's recent publications reveal a strong emphasis on solving large-scale games, equilibrium computation, and applying these techniques to real-world problems. His work shows a progression from theoretical foundations to practical implementations, with applications ranging from poker AI (Libratus and Pluribus) to kidney exchange systems. His research group has pioneered techniques in game abstraction, regret minimization, and equilibrium computation that have pushed the boundaries of what's possible in imperfect-information games. Vannevar Bush Faculty Fellowship (2023) AAAI Award for AI for the Benefit of Humanity (2023) IJCAI John McCarthy Award (2021) Robert S. Engelmore Award (2021) Minsky Medal (2019) Science Breakthrough of the Year Runner-Up (2019) As an advisor, Sandholm has mentored numerous PhD students who have gone on to prestigious positions at institutions like MIT, Stanford, and CMU. His lab has secured substantial research funding for projects including solving large-scale games and heart transplantation policy optimization. The Electronic Marketplaces Laboratory he directs has been instrumental in developing algorithms that run the national kidney exchange for UNOS, resulting in approximately 10,000 life-saving transplants. Sandholm is also the founder and CEO of multiple companies including Strategy Robot, Inc., Strategic Machine, Inc., and Optimized Markets, Inc., which apply his research to defense, intelligence, business strategy, and advertising markets.

• Artificial Intelligence
• Optimization
• Game Theory
• +۷ مورد دیگر

Tuomas Sandholm is the Angel Jordan University Professor of Computer Science at Carnegie Mellon University (CMU), holding appointments in the Computer Science Department, Machine Learning Department, Algorithms, Combinatorics, and Optimization (ACO) Ph.D. Program, and the CMU/University of Pittsburgh Joint Ph.D. Program in Computational Biology. He co-directs CMU AI and leads the Electronic Marketplaces Laboratory. His research focuses on artificial intelligence, economics, and operations research, with notable contributions to game theory, optimization, and kidney exchange systems. Sandholm has pioneered algorithms for electronic marketplaces, including the first superhuman AI in poker (Libratus and Pluribus) and kidney exchange optimization. He has founded multiple companies, including CombineNet, Strategic Machine, and Strategy Robot, and has over 500 peer-reviewed publications and 29 patents. His awards include the Vannevar Bush Faculty Fellowship, AAAI Award for AI for Humanity, and honorary doctorate from the University of Zurich. Education: Ph.D. and M.S. in Computer Science Dipl. Eng. (M.S. with B.S. included) in Industrial Engineering and Management Science Research Interests: Artificial Intelligence, Optimization, Game Theory, Kidney Exchange, Electronic Commerce, Multiagent Systems, Market Design, and Healthcare Applications. His work bridges theoretical advancements with real-world applications, particularly in strategic reasoning, organ transplantation, and defense/intelligence systems. Recent Articles: Focus on solving large-scale games, kidney exchange optimization, and AI-driven decision-making. Key areas include imperfect-information game solving (e.g., poker AIs), algorithmic fairness in healthcare markets, and combinatorial auction design. Awards & Honors: Vannevar Bush Faculty Fellowship (2023) AAAI Award for AI for the Benefit of Humanity (2023) Fellowships: ACM, AAAI, INFORMS, AAAS Edelman Laureate (2005) Over 100+ awards, including honorary doctorates and industry recognitions Advising & Grants: Advised PhD students now in top positions at MIT, Stanford, and CMU. Secured grants for AI game-solving and healthcare policy optimization. Current openings for PhD students in game-solving and kidney exchange policy. Labs & Teams: Electronic Marketplaces Laboratory (EML) and CMU AI Initiative. Collaborates with industry partners (e.g., Baidu, Google) and government agencies on strategic AI applications.

• Mathematical Analysis
• Optimal Control Theory
• Calculus of Variations
• +۴ مورد دیگر

Mauro Bonafini is a Temporary Assistant Professor at the Department of Engineering for Innovation Medicine, University of Verona. His research focuses on geometric variational problems, optimal transport theory, and hyperbolic partial differential equations. Current academic rank: Assistant Professor (Mathematical Analysis) University: University of Verona Research groups: Analysis of PDE and Calculus of Variations His research projects include: Geometric Measure Theoretical approaches to Optimal Networks (since 2018) Geometric evolution of curves, surfaces and networks (since 2017) Stochastic Partial Differential Equations and Stochastic Optimal Control with Applications to Mathematical Finance (since 2016) Teaching activities: Mathematical analysis (6 credits, 2025/2026) Optimization (6 credits, 2025/2026) Mathematical Analysis II (12 credits, 2024/2025) Previous courses in Mathematical Analysis I and II across multiple academic years Email: mauro.bonafini@univr.it

• Data Science
• Artificial Intelligence
• Multiagent Systems
• +۷ مورد دیگر

Prof. Stefan Selle is a Professor of Business Informatics at Saarland University of Applied Sciences since 2007. His research focuses on Data Science, Artificial Intelligence (AI), Multiagent Systems, and Deep Learning. He teaches in various programs under the Faculty of Economics. Before academia, he worked for 7 years in an IT company as a consultant, project manager, and developer, specializing in digitalization projects across insurance, tourism, publishing, and automotive sectors. Education: Studied Physics and Economics at Heidelberg University, earned a PhD in Chemistry (Reactive Flows) at Heidelberg's Interdisciplinary Center for Scientific Computing under Prof. Jürgen Warnatz. His early work on Distributed Computing (MoneyBee/BienenStock), derived from his economics diploma thesis, was nationally recognized. Research interests include AI applications, reinforcement learning, and neural networks. He has led projects like Gaia (lecture planning platform), Keto (e-examination system), and the award-winning 'AI in the Mirror of Communication and Culture' (2019). Awards: 2021 Teaching Award, 1999 Federal Technology Prize Projects: Digital platforms for academic administration, AI ethics in culture, and Industry 4.0 applications Advising: Supervised over 100 theses in AI, data science, and business informatics He is Head of the Business Informatics Focus Area (Bachelor in Business Administration) and serves on university committees including the Franco-German Higher Education Institute (DFHI).

• Computer Networks
• Distributed Real-Time and Embedded Systems
• Wireless Sensor Networks
• +۵ مورد دیگر

Edison Pignaton de Freitas is an Associate Professor at the Institute of Informatics of the Federal University of Rio Grande do Sul (UFRGS) since 2014. His research focuses on computer networks, distributed systems, avionics, AI, robotics, and IoT. He holds a PhD from Halmstad University (2011) and has collaborated with institutions like Linköping University and Ruhr Universität Bochum. Previously, he worked at the Brazilian Army (2004–2013) on defense systems and interned at Airbus on the A380 avionics project. Education: Bachelor's in Computer Engineering, Military Institute of Engineering (Brazil, 2003) MSc in Computer Science, UFRGS (Brazil, 2007) PhD in Sensor Networks, Halmstad University (Sweden, 2011) Research interests include tactical edge networks, unmanned platforms, missile navigation, aerospace defense systems, and multi-agent systems. He maintains international collaborations and has experience in specification engineering for avionics systems.

Thomas Baarمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Formal Verification
• Model-Driven Engineering
• +۳ مورد دیگر

Prof. Dr. Thomas Baar is a Professor at HTW Berlin, specializing in cyber-physical systems, formal verification, and model-driven engineering. His research focuses on hybrid systems, automated driving platforms like CeCar, and improving usability of verification tools such as KeYmaera. He contributes to software engineering education and legacy system modernization through domain-specific languages (DSLs) and graphical editors. Baar's work spans academia and industry, with collaborations in aerospace safety, multiagent systems, and cybersecurity for control systems. His research interests include formal methods for hybrid systems, software reliability, and educational platforms for autonomous systems. He has published extensively on topics like verification frameworks, syntax improvements for formal tools, and safety analysis methodologies. His interdisciplinary approach bridges theoretical computer science with practical applications in aerospace, automotive, and industrial automation. Key contributions include the CeCar platform for autonomous driving research, modularization enhancements for KeYmaera, and DSL-based solutions for legacy software maintenance. Baar collaborates with institutions like the IFAF Berlin and participates in EU-funded projects focusing on smart cities and sustainable technologies. His publications reflect a strong emphasis on verification techniques, with over 15 peer-reviewed articles since 2015. He is affiliated with the HTW Berlin's Wilhelminenhof Campus and actively engages in knowledge transfer initiatives to bridge research and industry needs.

Marc Zimmermannمشاهده پروفایل

مدرس

• Mathematics Education
• Chemistry Education
• Didactics
• +۳ مورد دیگر

Marc Zimmermann is a Lecturer and Campus Manager at Ludwigsburg University of Education. He holds a Master's degree in subject didactics (mathematics, physics) and has extensive experience in education and academic administration. His roles include serving as a Senate Elected Member and coordinating the introduction of HISinOne university management software. Zimmermann has held positions as a Research Associate and Lecturer at the Institute of Mathematics and Computer Science, with additional academic staff roles at the University of Economics and the Environment Nürtingen-Geislingen. Educational background includes a first state examination for teaching secondary schools (history, mathematics, physics) and advanced studies in mathematics and physics didactics. His research focuses on mathematics education innovation, including intelligent assessment tools, active learning strategies, and didactic frameworks for STEM subjects. Notable projects include the SAiL-M project addressing teaching methodologies and the development of the 'open math room' concept for active learning environments. Zimmermann’s work emphasizes bridging theory and practice in education through technology integration, such as e-learning tools and lecture recordings. His recent publications explore chemical reaction mechanisms, self-efficacy in mathematics learners, and conceptual understanding in STEM fields. He has contributed to curriculum development across multiple institutions and remains active in improving teaching quality through collaborative academic initiatives.

Jim Boerkoelمشاهده پروفایل

استاد

• Artificial Intelligence
• Multiagent Systems
• Human-Robot Interaction
• +۳ مورد دیگر

Jim Boerkoel is the Csilla & Walt Foley Professor and Department Chair of Computer Science at Harvey Mudd College. He leads the Human Experience & Agent Teamwork (HEAT) Lab, which focuses on developing human-robot teamwork techniques. The HEATLab emphasizes scheduling and coordination in uncertain environments to create teams that leverage human and AI strengths. Education: B.S. (Summa Cum Laude) in Mathematics and Computer Science, Hope College (2006) M.S. and Ph.D. in Computer Science and Engineering, University of Michigan (2008, 2012) Research Interests: Automated planning/scheduling, multi-robot coordination, human-robot interaction, AI education, constraint-based scheduling, and robotics in advanced manufacturing. Key Article Trends: Recent work emphasizes probabilistic temporal networks, human-robot collaboration fluency, and robust scheduling algorithms. Themes include uncertainty management, controllability metrics, and interdisciplinary applications like satellite imaging and manufacturing. Awards: NSF CAREER Award (2017) for multiagent scheduling under uncertainty research. Grants & Labs: Director of HEATLab; collaborations include NASA JPL for satellite scheduling. Active in education initiatives to expand computing research pathways.

• Applied Mathematics
• Differential Equations
• Impulsive Systems
• +۷ مورد دیگر

Jianhua Shen is a Professor at Nanjing University of Posts and Telecommunications (NJUPT), School of Computer Science and Engineering, with a distinguished research career spanning over 30 years. His academic journey shows a natural progression from theoretical mathematics to applied computer science and educational technology. His research interests encompass Applied Mathematics , Differential Equations , Impulsive Systems , Stability Analysis , Computer Networks , Wireless Communication , Educational Technology , and Machine Learning . Shen's work demonstrates remarkable adaptability while maintaining mathematical rigor, evolving from foundational theoretical work to practical applications in modern computing and education. Shen's recent publications (2020-2025) reveal a strong focus on educational technology and federated learning , with significant contributions to virtual simulation experiments, MOOC platforms, and personalized learning systems. His work bridges theoretical computer science with practical educational applications, reflecting NJUPT's emphasis on technology-enhanced education. As an advisor, Shen has mentored numerous students including Meijuan Chen, Cong Yu, and Xiaoling Liu, who frequently appear as co-authors on his publications. His collaborative network extends across multiple departments at NJUPT and includes researchers from various Chinese institutions.

Paul Wiegandمشاهده پروفایل

دانشیار

• Machine Learning
• Optimization
• Natural Computation
• +۳ مورد دیگر

R. Paul Wiegand is an Associate Professor in the Department of Computing & Information Sciences at Winthrop University's College of Business Administration. He holds a Ph.D. in Computer Science from George Mason University (2004), an M.S. from the University of North Carolina-Charlotte (1999), and a B.S. from Winthrop University (1996). His research focuses on machine learning, optimization, natural computation, multiagent systems, and probabilistic reasoning, with recent work exploring novelty search algorithms and coevolutionary methods. He has held roles at the University of Central Florida and the Navy Center for Applied Research in Artificial Intelligence. Dr. Wiegand's pedagogical approach emphasizes contextual learning and student engagement. He actively organizes academic events like the Winthrop SMACS Programming Competition and co-leads the interdisciplinary Mathematics & Computer Science student seminar. His research projects include NSF-funded work on coevolutionary peer-instruction systems and DoD-funded smart network routing algorithms. He also explores foundational theory for swarm-based task allocation and decentralized systems. Key research contributions include studies on robust path tracking, evolutionary programming for Parsons puzzles, and multiagent learning dynamics. His work bridges theoretical computer science with practical applications in education, robotics, and network optimization. Beyond academia, he plays in the bands Read-Only Time Travel and PhyNight , contributing to local music scenes in South Carolina.

Kathleen Keoghمشاهده پروفایل

مدرس

• Artificial Intelligence
• Multiagent Systems
• Human Behavior Modeling
• +۳ مورد دیگر

Dr. Kathleen Keogh is a Lecturer in Information Technology at Federation University Australia, specializing in intelligent software agents and multiagent systems. She coordinates the Bachelor of IT (Professional Practice) program, integrating industry internships with IBM and Kyndryl. Her research focuses on modeling human behavior through agent-based systems, particularly in dynamic environments requiring improvisation. She holds a PhD from the University of Melbourne (2019), with prior qualifications including a Master of Science (2002) and Bachelor of Science (Honours) (1988). Education: PhD (Computer Science), University of Melbourne (2019) MSc (Cognitive Science), University of Melbourne (2002) BSc(Hons) (Computer Science), James Cook University (1988) DipEd (Adult Education), Australian Catholic University Research Interests: Her work emphasizes agent coordination in complex scenarios, such as emergency management simulations. She explores organizational constructs enabling autonomous agents to adapt dynamically, contributing to sociotechnical systems analysis. Recent studies include familiarity-based team recognition in academic networks and runtime flexibility in multiagent systems. Teaching & Industry Collaboration: Dr. Keogh teaches programming, software engineering, and capstone projects using Scrum methodologies. She manages industry partnerships for work-integrated learning programs, ensuring students gain practical experience while studying. Labs & Collaborations: Involved in interdisciplinary projects with IBM and Kyndryl, focusing on cloud and enterprise computing. Her research integrates computational models of human expertise, such as disturbance management in healthcare.

• Agent-Based Modeling
• Insurance Markets
• Catastrophe Risk Management
• +۳ مورد دیگر

Teresa Bi is a Researcher and Postdoctoral Research Associate affiliated with the Informatics Overview Network. Her work focuses on agent-based modeling and simulation, particularly in analyzing ambiguity within catastrophe insurance markets and multi-agent systems. Her research interests include the intersection of computational models, risk management, and economic decision-making under uncertainty. She has contributed to advancing methodologies for understanding complex insurance market dynamics through agent-based approaches. Bi’s recent work, accepted to the 2025 AAMAS Conference, explores ambiguity’s impact on catastrophe insurance markets, highlighting interdisciplinary applications of computer science and actuarial science.

• Cryo-EM
• Protein Complexes
• Molecular Biophysics
• +۱ مورد دیگر

Dr. Yan Han is an Assistant Professor in the Department of Biophysics at UT Southwestern Medical Center. His research focuses on Cryo-EM analysis of protein complexes within the Graduate Program in Molecular Biophysics. Dr. Han employs advanced structural biology techniques to visualize and analyze macromolecular structures, contributing to fundamental understanding of cellular processes. His research interests center on developing and applying cryo-electron microscopy methodologies for high-resolution structural determination of protein assemblies. This work bridges biophysical principles with medical applications through molecular-level investigations of biological complexes. Dr. Han maintains an active publication record with recent work spanning computational pathology, clinical AI applications, and immunoinformatics. His methodological innovations in deep learning and computer vision demonstrate interdisciplinary approaches to biomedical challenges.

Timo Toikkoمشاهده پروفایل

استاد

• Social Policy
• Child Protection Services
• Welfare Systems
• +۴ مورد دیگر

Timo Toikko is a Professor and Head of Department in the Department of Social Sciences at the University of Eastern Finland's Faculty of Social Sciences and Business Studies. His research focuses on social policy, child protection systems, welfare governance, and the intersection of economic inequality with social welfare. He has led projects such as 'Multiagency social work to support clients released from prison in a digitalizing society' and 'Youth services at a crossroads.' Research Interests: Professor Toikko investigates how economic insecurity and income support policies influence child welfare demand, particularly at the municipal level. He also explores immigration's impact on social welfare attitudes, governance structures in child protection systems, and the role of interdisciplinary collaboration in psychiatric care. His work emphasizes preventive measures and systemic interventions to reduce child maltreatment risks. Publications Trends: His recent work highlights the buffering role of financial support in mitigating child protection demand, mediated by community-level factors. He has also analyzed how political orientations shape perceptions of immigration and welfare deservingness in Europe. Collaborative projects with institutions like the IASSW Nordic Baltic Regional Resource Centre reflect his commitment to cross-border social policy research. Awards: No specific scientific awards listed, though his extensive publication record reflects academic recognition. His grants include EU-funded projects on social enterprises for environmental sustainability (SES) and child protection innovations. Advising & Grants: Advised on projects linking income support to child welfare outcomes and led studies on supervised probationary freedom's role in criminal desistance. Active in multidisciplinary teams, including the 'Social work research and education team.' Labs/Teams: Associated with research groups such as the 'House of Effectiveness' and 'Social Enterprises for Innovations in Environmental Sustainability, Africa & Finland (SES).' His work bridges academia and practice, influencing policy through evidence-based insights.