جست‌وجوی استاد و پژوهشگر

Ceyhun Eksinمشاهده پروفایل

دانشیار

• Networked Multi-Agent Systems
• Game Theory
• Distributed Optimization
• +۵ مورد دیگر

Ceyhun Eksin is an Associate Professor and the Corrie and Jim Furber '64 Faculty Fellow at the Texas A&M University Industrial & Systems Engineering Department. He is also affiliated with the Electrical & Computer Engineering Department. His research focuses on networked multi-agent systems, integrating game theory, distributed optimization, and control theory to address challenges in autonomous systems, energy systems, and epidemiological modeling. Education: Ph.D. in Electrical and Systems Engineering from the University of Pennsylvania (2015), followed by a postdoctoral fellowship at Georgia Institute of Technology (hosted by Professors Jeff S. Shamma and Joshua S. Weitz). Research interests emphasize the design and analysis of complex systems, including distributed algorithms for autonomous teams, epidemic dynamics influenced by behavioral changes, and optimization in smart grids. His work bridges theoretical foundations with practical applications in cyber-physical systems and social networks. Notable awards include the NSF CAREER Award (2023) and TAMIDS Career Initiation Fellowship (2023). His research has been published in top journals like Proceedings of the National Academy of Sciences and IEEE Transactions . Lab activities center on the NetMaS (Networked Multiagent Systems) Lab, focusing on theoretical and algorithmic innovations for multi-agent systems. Collaborations span academia and industry, addressing real-world challenges in energy, healthcare, and robotics.

Shashi Raj Pandeyمشاهده پروفایل

استادیار

• Network Economics
• Game Theory
• Wireless Networks
• +۷ مورد دیگر

Shashi Raj Pandey serves as Assistant Professor in the Department of Electronic Systems at Aalborg University's Technical Faculty of IT and Design, Denmark. His research is anchored in the Connectivity section and Connectivity Classique-Center for Classical Communication in the Quantum Era, with office location at Fredrik Bajers Vej 7C, C1-111, 9220 Aalborg Øst. His core research spans Network Economics, Game Theory, and Wireless Networks, with specialization in Decentralized Machine Learning and Semantic/Goal-oriented Communications. Current work integrates Digital Twin technologies with 6G systems for industrial automation and earth observation, emphasizing resource-efficient protocols for Internet of Things and edge intelligence applications. Recent publications (2024-2025) reveal a clear trajectory toward AI-6G convergence, featuring semantic communications for satellite imaging, game-theoretic network resource allocation, and digital twin implementations for autonomous systems. Key themes include communication efficiency in distributed learning and physical-digital world integration. Notable recognitions include: Best PhD Thesis Nominee (2021) Excellent Paper at Korea Software Congress, KIISE 2021 Student Best Paper Award at APNOMS 2019 Best Paper at Korea Software Congress, KIISE, 2018 Brain Korea 21st Century Plus Fellowship Academic service includes external PhD examination for EU SNS projects and peer review for premier conferences (AAAI, ICLR, ICML). His lab work within the Connectivity Classique-Center explores classical communication frameworks applicable to quantum-era networks, with focus on semantic information theory and decentralized network architectures.

• Online Communication
• Digital Journalism
• Media Innovations
• +۷ مورد دیگر

Thorsten Quandt is a Professor of Online Communication at the University of Münster, affiliated with the Faculty of Arts and Humanities and the Department of Communication Science. His academic journey includes a Ph.D. in Communication Science from TU Ilmenau (2004) and a habilitation from Ludwig Maximilian University of Munich (2008). He has held visiting professorships at the University of California, Santa Barbara (2014) and has been a faculty member at institutions like the University of Hohenheim and Freie Universität Berlin. Quandt's research focuses on online communication, digital journalism, and computational analysis of media ecosystems. Notable projects include studying conspiracy theories and ideological movements online, media innovations, and gaming disorder. He leads the Cluster of Excellence project B3-44 on computational methods for analyzing new ideological movements. His work bridges communication studies and computational social science, addressing topics like dark participation, media trust, and information disorder. Awards include an ERC Advanced Grant (2025), ICA Fellowship (2023), and ERC Starting Grant (2009). He serves on editorial boards of journals like Journal of Communication and Digital Journalism . Quandt’s research has explored gaming’s psychosocial impacts, digital journalism’s evolution during crises, and media moderation strategies. His recent work emphasizes computational methods and interdisciplinary approaches to understanding digital media’s societal role.

Alain Bensoussanمشاهده پروفایل

استاد

• Operations Research
• Stochastic Control
• Mathematical Finance
• +۳ مورد دیگر

Alain Bensoussan is the Lars Magnus Ericsson Chair Professor of Operations Management at the University of Texas at Dallas and Director of the International Center for Decision and Risk Analysis. His work spans stochastic control, mathematical finance, and mean field games. He holds a PhD from the University of Paris (1969) and advanced degrees from École Polytechnique (1962) and École Nationale de la Statistique et de l’Administration Economique (1965). Research interests include inventory control under uncertainty, risk management frameworks, and applications of mean field theory to control problems. Recent work focuses on stochastic control in financial systems, machine learning integration with control theory, and optimal policies in dynamic environments. Notable awards: Legion d’Honneur (Officier), NASA Distinguished Public Service Medal, Member of French Academies of Sciences/Technology, and SIAM Charter Fellowship. Key grants: NSF-funded projects on mean field control theory (2016–2019) and mean field games (2023–present). Teaches advanced courses: Game Theory, Risk Analysis, Stochastic Dynamic Programming. His 2023–2025 publications emphasize theoretical advancements in stochastic control, mean field games, and machine learning applications. Ongoing work addresses infrastructure investment, wind farm optimization, and multi-agent system dynamics.

Sara Ahmadianمشاهده پروفایل

پژوهشگر

• Optimization Algorithms
• Machine Learning
• Big Data Analysis
• +۵ مورد دیگر

Dr. Sara Ahmadian is a Researcher at the University of Waterloo's Department of Combinatorics and Optimization. She completed her Ph.D. in 2017 under the supervision of Prof. Chaitanya Swamy, earning the 2017 University of Waterloo Outstanding Achievement in Graduate Studies award. Her research focuses on designing efficient algorithms for optimization problems in machine learning and big data analysis, particularly in facility location and clustering. She has held visiting research positions at the University of Alberta, Hausdorff Research Institute for Mathematics, and École polytechnique fédérale de Lausanne. Education: Ph.D. in Combinatorics and Optimization, University of Waterloo (2017) Master's in Combinatorics and Optimization, University of Waterloo (2010) Bachelor's in Computer Engineering, Sharif University of Technology (2008) Research interests include approximation algorithms, online algorithms, and algorithmic game theory applied to clustering and facility location problems. Her work has led to advancements in k-means and k-median problems, with a notable improvement in the fundamental k-means algorithm. Scientific Awards: 2017 University of Waterloo Outstanding Achievement in Graduate Studies (Ph.D.) designation Advising and Grants: No specific advising or grant information is provided in the text. Labs/Teams: No specific lab or team affiliations mentioned.

• Artificial Intelligence
• Machine Learning
• Activity Recognition
• +۱۲ مورد دیگر

Gita Reese Sukthankar is a Professor in the Department of Computer Science at the University of Central Florida (UCF) , where she directs the Intelligent Agents Lab . Her research focuses on activity and plan recognition , with applications in multi-agent systems, robotics, and human-robot interaction. She earned her Ph.D. from the Robotics Institute at Carnegie Mellon University and joined UCF in fall 2007. Research Interests: Her work spans activity recognition , intent inference , multi-agent coordination , and human-robot teams . She has applied these techniques to domains such as adversarial games (e.g., military simulations, Unreal Tournament), assistive technologies, and cooperative robotics. Her research integrates AI, machine learning, and probabilistic models to understand and predict complex team behaviors. Publication Trends: Her publications emphasize spatio-temporal modeling , probabilistic graphical models (e.g., HMMs, CRFs) , and multi-agent plan recognition . She frequently publishes in top venues like AAMAS, AAAI, and ICRA, with a focus on robust recognition of team behaviors, transfer learning, and real-world AI applications. Scientific Awards: NSF CAREER Award (2009) AFOSR Young Investigator (2009) ONR Summer Faculty Fellow (2008) UCF Faculty Excellence for Doctoral Mentoring (2012) CECS Dean's Research Professorship (2013) AAAI Senior Member (2021) ACM and IEEE Senior Member Advising and Grants: She mentors graduate students in AI and robotics and has led research funded by DARPA, AFOSR, and ONR. Her lab develops systems for intelligent agents that can understand and collaborate with humans. She has served on numerous program committees and editorial boards, including ACM Transactions on Autonomous and Adaptive Systems . She teaches courses such as Intelligent Systems , Robotics , and Machine Learning , and has been recognized for both research and teaching excellence. Labs and Teams: She leads the Intelligent Agents Lab at UCF, which focuses on data-driven social informatics and AI for human-agent teams. Her group collaborates with researchers in robotics, computer vision, and cognitive science to build adaptive, intelligent systems.

Shahin Jabbariمشاهده پروفایل

استادیار

• Machine Learning
• Algorithmic Fairness
• Game Theory
• +۷ مورد دیگر

Shahin Jabbari is an Assistant Professor in the Computer Science Department at the College of Computing & Informatics, Drexel University, where he is a member of the EconCS research group. His research lies at the intersection of machine learning, game theory, and algorithmic fairness, with a focus on ethical AI and its societal implications. Prior to Drexel, he was a CRCS postdoctoral fellow at Harvard University's School of Engineering and Applied Sciences, hosted by Milind Tambe, and affiliated with the EconCS group. Education: PhD in Computer and Information Science, University of Pennsylvania (2013–2019), advised by Michael Kearns Master's in Computing Science, University of Alberta, advised by Robert Holte and Sandra Zilles Bachelor's in Computer Engineering, Sharif University of Technology His research interests center on machine learning, algorithmic fairness, and game theory, particularly focusing on how AI systems can be designed to be more equitable, interpretable, and robust. He investigates ethical aspects of algorithmic decision-making, aiming to ensure AI technologies contribute positively to society. His work often integrates human behavior modeling and experimental validation, especially in cybersecurity and public health domains. His recent publications span top venues including ICML, NeurIPS, AAAI, AAMAS, PNAS, and TMLR. The research trends show a consistent focus on fairness in AI, explainability, robustness, and strategic interactions in complex systems. Topics include fair influence maximization, adaptive phishing training, cyber deception games, and ethical machine learning frameworks. These works reflect a multidisciplinary approach combining theoretical rigor with real-world applicability. Scientific Awards and Recognitions: Best Paper Finalist, AAMAS 2021 Best Paper, GameSec 2020 Spotlight Presentation, ICML 2021 Best Paper, KI 2012 Shahin Jabbari actively contributes to the academic community through advising, teaching, and service. He teaches graduate courses such as CS 589: Responsible Machine Learning and CS 590: Privacy. He has served on the senior program committees of ICML and NeurIPS, is an Action Editor for TMLR, and has reviewed for numerous top-tier conferences and journals. He mentors students through research projects and invites prospective PhD candidates to apply through Drexel’s formal channels. He is involved in the Drexel Computer Science Theory Reading Group and contributes to advancing responsible AI practices. He is affiliated with the EconCS group at Drexel, which focuses on economic and computational aspects of AI, including game theory, mechanism design, and multi-agent systems. His lab integrates tools from machine learning, behavioral modeling, and optimization to develop AI systems that are not only intelligent but also fair and trustworthy. Future work is expected to further explore human-AI collaboration, ethical AI deployment, and policy-aware algorithm design.

• Control Theory
• Autonomous Systems
• Reinforcement Learning
• +۳ مورد دیگر

Dr. Cheng-Chew Lim is a Professor in the School of Electrical and Mechanical Engineering at the University of Adelaide. He specializes in control theory, autonomous systems, and multi-agent reinforcement learning. His research focuses on trusted autonomous systems, secure cyber-physical networks, and decentralized decision-making models. He has published over 300 articles and supervised 50+ PhD and master’s students. Dr. Lim teaches courses in control systems, autonomous systems, and engineering project management. He has held editorial roles, including Associate Editor for IEEE Transactions on Systems, Man, and Cybernetics, and is actively involved in professional associations like the IEEE Control and Aerospace Electronic Systems Joint Chapter. His current projects include physics-informed neural networks for medical imaging, secure distributed autonomous systems, and resilient formation control under cyberattacks. Dr. Lim has secured research grants from ARC and industry partnerships, emphasizing practical applications in robotics, cybersecurity, and smart systems.

Marjorie Zielkeمشاهده پروفایل

استاد پژوهشی

• Medical Simulation
• Virtual Reality
• Artificial Intelligence
• +۳ مورد دیگر

Marjorie Zielke is a Research Professor and Director of the Center for Simulation and Synthetic Humans at the University of Texas at Dallas (UT Dallas). She specializes in virtual human systems, medical simulation technologies, and interdisciplinary research at the intersection of arts, technology, and healthcare. Her academic roles include leading the Center for Modeling and Simulation, overseeing projects funded by NSF, NIH, and other agencies, and directing collaborations with institutions like Southwestern Medical Foundation and Sam Houston State University. Her work has been recognized with multiple awards, including first place at the International Meeting of Simulation in Healthcare (IMSH) and IITSEC. Education: PhD in Aesthetic Studies (UT Dallas, 2007), MBA (UT Arlington, 1980), and BS in Journalism (University of Illinois, 1977). Research focuses on virtual patients, augmented reality in medical training, and game-based learning platforms. She has pioneered projects like the Emotive Virtual Patient and the Individual Nystagmus Simulated Training Experience (INSITE), addressing clinical communication and law enforcement training needs. Grants and Projects: Over $3M in funding for initiatives such as the NSF-funded Virtual Reality Graded Exposure (VRGE) program and the Texas Department of Transportation-supported INSITE project. She also leads the Virtual Dyslexia Therapist initiative under a Texas Scottish Rite Hospital grant. Teaching includes managing interactive media projects and graduate courses on cyberpsychology and autonomous technology design.

• Data Science
• Concept-Drift Management
• Database Systems
• +۱۲ مورد دیگر

Tania Cerquitelli is a Full Professor in the Department of Control and Computer Science (DAUIN) at Politecnico di Torino, where she leads research in data science, concept-drift management, and inclusive AI technologies. She is a member of SmartData@PoliTO, the GEDI Observatory for Gender Equality, and serves in leadership roles related to social affairs and community policies at the university level. She also acts as a scientific advisor for the partnership with Accenture. Her research interests span Data Science , Concept-Drift Management , Database Systems , Conversational Data Science , and Industry 4.0 . She applies AI and machine learning to industrial, societal, and ethical challenges, particularly in promoting inclusive communication and gender equality in research. The most recent publications highlight her work in explainable AI, concept drift detection, multimodal diagnostics, and AI for social good. Her research integrates machine learning, natural language processing, and computer vision to address real-world problems in manufacturing, healthcare, agriculture, and education. She is an Associate Editor for several prestigious journals including Expert Systems with Applications , Computer Networks , Future Generation Computer Systems , and Knowledge and Information Systems . She has served on the program committees of major conferences such as ECML PKDD, EDBT/ICDT, and ACM KDD, and has been a reviewer and selection committee member for ETH Zurich and EMPA. She actively supervises PhD students and teaches a wide range of courses including Data Science and Database Technologies, Business Intelligence for Big Data, and Gender and Diversity in Research. She is involved in multiple national and international research projects such as E-MIMIC, WEBFARE, and EnABLES, focusing on inclusive AI, smart data, and industrial applications. Her lab affiliations include the DBDM - Database and Data Mining Group (DAUIN) and the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory , where she contributes to advancing data science methodologies and their societal impact.

Emilia Barakovaمشاهده پروفایل

دانشیار

• Social Robotics
• Cognitive Robotics
• Artificial Intelligence
• +۳ مورد دیگر

Emilia Barakova is an Associate Professor at the Industrial Design Department of Eindhoven University of Technology. She leads the Social Robotics Lab and Transdisciplinary Research & Design cluster, focusing on robotics for autism intervention and cognitive assistance. PhD in Mathematics & Natural Sciences (University of Groningen, 1999) MSc in Electronics & Automation Engineering (Technical University of Sofia, Bulgaria) Her research merges robotics, cognitive science, and AI to develop embodied agents for social skills training in autistic children and well-being enhancement for people with disabilities. She co-developed the TiViPE programming environment for customizable robot therapy scenarios. Key publication trends show emphasis on: Human-robot interaction for autism therapy Emotion recognition via movement analysis Visual programming frameworks for robot customization Multi-agent systems in social training She serves as Associate Editor for journals including International Journal of Social Robotics and Transactions of Human-Machine Systems , and has held academic positions at RIKEN Brain Science Institute and German-Japanese Robotics Research Lab.

Faramarz Amiriمشاهده پروفایل

مدرس ارشد

• Higher Education Pedagogy
• Serious Games Design
• Educational Technology
• +۳ مورد دیگر

Faramarz Amiri is a Senior Lecturer in Digital Media at the University of Wolverhampton's Faculty of Arts, Business and Social Sciences. He serves as Course Leader for BA(Hons) Computer Games Design and has been affiliated with the institution since 1997. His expertise spans multiple domains, including Higher Education Pedagogy, Serious Games Design, Educational Technology, TESOL, and Art & Design Pedagogy. PhD in Education (University of Manchester) MSc in Computer Science (University of Exeter) MPhil in Social and Political Theory (University of Cambridge) PG Diploma in TEFL (Brighton Polytechnic) BA in Linguistics with Cognitive Sciences (University of Sussex) His research focuses on the intersection of educational technology, art pedagogy, and socio-political dimensions of game design. His publications analyze programming in art education, multimedia authoring for language teachers, and the integration of digital tools in curricula across disciplines. Awards include Fellowship in the Higher Education Academy. Programming in interactive media curriculum design Teacher empowerment through digital authoring CALL material development standards Role of educators in software lifecycle Grammar teaching via multimedia IT training for educators Dr. Amiri's work bridges technical and pedagogical domains, with a particular emphasis on democratizing digital creation in educational contexts. He currently leads the Computer Games Design program while maintaining active research into technology's role in art and language education.

Irene Ye Yuanمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Social Computing
• Computer-Supported Cooperative Work
• +۳ مورد دیگر

Dr. Irene Ye Yuan is an Assistant Professor in the Department of Computing and Software at McMaster University's Faculty of Engineering, with a joint appointment as Associate Member of the McMaster School of Biomedical Engineering. Her research focuses on Human-Computer Interaction (HCI) and Social Computing , specifically designing technology for collaborative social experiences like intergenerational communication and remote play. Education Ph.D. in Computer Science, University of Minnesota M.S. in Human-Computer Interaction and Design, University of Washington Research Focus Dr. Yuan's work integrates ethnographic, design, and mixed methods to develop frameworks for multimodal interactions that foster meaningful social connections. Key domains include: Technology for intergenerational relationships Remote collaboration tools Embodied interaction systems Educational technology (VR/AR pedagogy) Publication Trends Her recent publications (2019-2024) in top-tier venues like CHI and CSCW emphasize socially connected experiences , with recurring themes of remote collaboration, intergenerational communication, and tangible interfaces. Methodologies blend qualitative analysis with system prototyping. Awards Three CHI Honorable Mentions IMWUT Distinguished Paper Award IDC Best Paper Award Academic Activities Dr. Yuan leads the ESI Lab at McMaster, focusing on Engaging Social Interactions. She teaches CAS 731: Social and Collaborative Computing and actively recruits graduate students for projects involving qualitative methods, system building, and empowerment of vulnerable groups (older adults/children).

Arlen C. Mollerمشاهده پروفایل

دانشیار

• Motivation Science
• Intrinsic Motivation
• Behavioral Science
• +۵ مورد دیگر

Arlen C. Moller is an Associate Professor and Director of Undergraduate Programs in the Department of Psychology at Illinois Institute of Technology since 2013. He leads the Motivation Science and Digital Health Lab , supervising students across multiple degree programs including Clinical Psychology (Ph.D.) and Game Design. Education: Ph.D. in Social Psychology (2007) - University of Rochester B.A. in Psychology (2000) - Cornell University His research focuses on digital health interventions that promote physical and mental wellness through motivation science and self-determination theory , particularly examining how digital technologies like wearable monitors, video games, and extended reality can be designed to support intrinsic motivation and behavioral change . This work spans multiple domains including occupational health , human-computer interaction , and game design . Current research trends include: Developing digital tools that balance competition mechanics with psychological needs Understanding social identity influences on health behaviors Examining long-term effects of extrinsic rewards on motivation Implementing self-determination theory in healthcare settings Creating peer-to-peer mental health support systems Optimizing digital behavior change through autonomy support Dr. Moller collaborates with institutions such as the Center for Self-Determination Theory , Society of Behavioral Medicine , and University of Lisbon's PANOS*SR Research Group . His lab team includes three Ph.D. candidates investigating specific applications of their research.

Melanie Krügerمشاهده پروفایل

استاد

• Embodiment Research
• Cognitive Aging
• Motor Decision Making
• +۷ مورد دیگر

Prof. Dr. Melanie Krüger is a faculty member at Leibniz University Hannover , where she serves as Head of the Research Unit Sports and Cognition within the Institute of Sports Science. Her academic career spans institutions including the Technical University of Munich, University of Tasmania, and Ludwig Maximilian University. She leads research initiatives in embodiment, cognitive aging, motor decision-making, and the impact of physical activity on neurocognitive and motor functioning. Current Position: Professor, Institute of Sports Science, Leibniz University Hannover Prior Appointments: Post-doctoral roles at Technical University of Munich, University of Tasmania, and Pennsylvania State University Education: PhD in Systemic Neurosciences, Ludwig Maximilian University; Diploma in Sports Science, University of Leipzig Krüger's research focuses on: Embodiment Research: Systemic interactions between cognitive and motor development Cognitive Aging: Age-related changes in motor decision-making and coordination Human Locomotion: Collision avoidance, mixed reality interactions, and real-world movement studies Open Science: Advocacy for research data management in sports science Her recent publications explore mixed reality applications ( 2024 ), stress effects on motor function ( 2023 ), and methodological innovations in locomotion studies ( 2021-2025 ). Current projects include Moving Forward (2021-2022) and two Innovation Plus initiatives (2022-2024) developing experimental frameworks for human movement analysis. Krüger actively participates in academic governance: Spokesperson, German Society of Sport Science's Ad Hoc Committee on Research Data Management (since 2022) Board member, DVS Section 'Sports Motor Skills' (since 2022) Doctoral Committee, Faculty of Humanities Examination Board, MSc Sustainable Health Promotion in Sports Science