Introspective Computing Professors and Supervisors

Shlomo Zilbersteinمشاهده پروفایل

استاد

University of Massachusetts AmherstUnited States

Shlomo Zilberstein is a Professor of Computer Science and former Associate Dean of Research and Engagement at the Manning College of Information and Computer Sciences, University of Massachusetts Amherst. He directs the Resource-Bounded Reasoning Lab and holds a B.A. from Technion – Israel Institute of Technology and a Ph.D. from UC Berkeley. His research focuses on automated reasoning, planning under uncertainty, multi-agent systems, and decision-theoretic principles for autonomous agents. He has pioneered work on decentralized Markov Decision Processes (DEC-MDPs) and meta-reasoning mechanisms to optimize deliberation under computational constraints. Dr. Zilberstein has received prestigious awards, including the 2025 ACM/SIGAI Autonomous Agents Research Award, the 2019 AAAI Distinguished Service Award, and the 2019 IFAAMAS Influential Paper Award. He has served as Editor-in-Chief of the Journal of Artificial Intelligence Research and held leadership roles in AAAI, ICAPS, and the AI Access Foundation. His research spans theoretical foundations and practical applications in autonomous systems, including safe AI, ethical decision-making, and human-centered AI. He has led multi-institutional grants, such as a $5M NSF grant to improve causal decision-making and a Schmidt Science grant for multi-agent AI safety. Zilberstein’s work emphasizes balancing computational efficiency with rational action in uncertain environments, with applications in robotics, self-driving vehicles, and collaborative systems. His lab develops frameworks for competence-aware autonomy, introspective perception, and explainable AI systems.

پروفایل رسمی دانشگاه

Michel Kleinمشاهده پروفایل

دانشیار

Vrije University AmsterdamNetherlands

Dr. Michel Klein is an Associate Professor in the Department of Artificial Intelligence at the Faculty of Science, Vrije Universiteit Amsterdam, and affiliated with the Network Institute. His research focuses on leveraging technology for behavior change, particularly in health and wellbeing contexts. He explores sensor data analysis, computational decision-making for interactions, and system design to support behavior modification. He has supervised 15 PhD theses and contributed to projects like the HumanE AI Network and PROMISS. Ancillary roles include serving as a member of the Provinciale Staten Noord-Holland since 2015. Key research interests include computational models for mood regulation, social network analysis for health interventions, and gamification in mental health training. His work aligns with UN Sustainable Development Goals related to health and well-being (SDG 3) and reducing inequalities (SDG 10). Recent projects investigate Bluetooth-based social network validation, personalized physical activity coaching systems, and supermarket-based cardiometabolic risk reduction trials. Dr. Klein teaches courses such as AI and Society, Dynamic Modelling for Human-Centered Systems, and Project Situated AI. His 169+ publications span behavior change technologies, health informatics, and agent-based modeling. Notable collaborations include studies on glioma patient cognitive functioning and caregiver burden in meningioma cases.

پروفایل رسمی دانشگاه

Tuomas Leistiمشاهده پروفایل

مدرس

Metropolia University of Applied SciencesFinland

Tuomas Leisti is a Lecturer and Doctor of Psychology (PsT) at Metropolia University of Applied Sciences, affiliated with the Wellbeing Team 3. His professional roles include teaching psychology and research methods, supervising Master's theses, and contributing to RDI (Research, Development, Innovation) projects. He holds certifications as a licensed psychologist and professional teacher (AmO), with proficiency in Finnish (native), English (excellent), Swedish (average), and German (basic). Leisti's research focuses on geropsychology, wellbeing and health, innovation expertise, cognitive psychology, and the philosophy of mind. His doctoral work explored the role of consciousness in decision-making, with prior experience in human-technology interaction. He is particularly interested in decision-making processes, problem-solving, and the metacognitive skills underlying these activities. Key projects include the Wellbeing Hybridist initiative (2021–2023) and the pan-European COMHOM project (2025–2028), which addresses homelessness through data-driven solutions. His research outputs span over two decades, emphasizing subjective image quality evaluation, cognitive modeling, and quantitative methodologies. Leisti's work integrates empirical and philosophical approaches, addressing topics such as qualia, decision heuristics, and the interplay between conscious thought and judgment. Despite no explicitly listed awards, his extensive publication record reflects sustained contributions to psychological and applied research fields.

پروفایل رسمی دانشگاه

Kate Larsonمشاهده پروفایل

استاد

University of WaterlooCanada

Kate Larson is a Professor at the David R. Cheriton School of Computer Science, University of Waterloo. Her research explores artificial intelligence with emphasis on multiagent systems, reinforcement learning, and AI applications for sustainability and climate challenges. She employs game-theoretic approaches to address coordination and cooperation in complex systems. Education Ph.D. in Computer Science from Carnegie Mellon University (2004), M.Sc. from Washington University in St. Louis (1999), and B.Sc. from Memorial University of Newfoundland (1997). Research Focus Professor Larson's work bridges theoretical AI and practical societal impacts. Key areas include: Designing cooperative AI frameworks for multiagent environments Developing value-alignment mechanisms for ethical AI Applying reinforcement learning to climate change mitigation Creating robust AI systems through game-theoretic guarantees Publication Trends Her recent publications (2024-2025) demonstrate strong focus on AI safety, game-theoretic foundations, and multimodal learning systems. Dominant themes include: algorithmic alignment techniques, multi-agent risk management, and interpretable AI architectures, with increasing emphasis on real-world climate and sustainability applications. Awards & Recognition No major scientific awards mentioned in source materials. Research Infrastructure No specific labs or teams detailed in available information.

پروفایل رسمی دانشگاه

Jorge Moralesمشاهده پروفایل

استادیار

Northeastern UniversityUnited States

Jorge Morales is an Assistant Professor at Northeastern University with appointments in both the Department of Psychology (College of Science) and the Department of Philosophy and Religion (College of Social Sciences and Humanities). As director of the Subjectivity Lab, his research bridges psychology, neuroscience, and philosophy to investigate subjective mental phenomena such as visual perception, conscious experiences, and introspection. Education Doctor of Philosophy (PhD), Philosophy Research Interests Dr. Morales focuses on the intersection of cognitive neuroscience and philosophy of mind , particularly how subjective experiences like visual perception, mental imagery, and metacognition arise. His work explores the neural and psychological mechanisms of consciousness, including the perception of absences in vision science and the intensity of conscious experiences. Scientific Awards Rising Star award Labs & Students He is establishing the Subjectivity Lab , recruiting graduate students, postdocs, and undergraduate research assistants to study topics like attention, awareness, and computational modeling of consciousness.

پروفایل رسمی دانشگاه

Fiona Macphersonمشاهده پروفایل

استاد

Graz University of TechnologyAustria

Professor Fiona Macpherson is a leading philosopher of mind and perception at the University of Glasgow. She holds the rank of Professor of Philosophy and directs the Centre for the Study of Perceptual Experience. Her primary affiliations include the University of Glasgow's School of Humanities and Department of Philosophy, alongside roles such as former Head of Department (2014–2017) and current President of the British Philosophical Association. Education: PhD in Philosophy, University of Stirling (2000) MLitt in Philosophy with Distinction (University of St. Andrews, 1995) MA in Philosophy 1st Class Honours (University of Glasgow, 1993) Visiting Fellow, Harvard University (1998–1999) Research Interests: Fiona's work spans the philosophy of perception, consciousness, and cognitive science. Key areas include: cognitive penetration, mental imagery (aphantasia/hyperphantasia), sensory substitution/augmentation, hallucination theory, and the nature of sensory modalities. She actively bridges philosophy with psychology and neuroscience through collaborative projects like the Perception Census and Dreamachine immersive technology. Grants & Awards: £750,000 AHRC grant (2024–2027) for the SENSOR project Fellow of the Royal Society of Edinburgh (2017) Elected member of Academia Europaea (2018) Innovate UK grant (£911,713, 2018–2021) for VR education tools Public Engagement: She co-founded the Illusions Index, curated the Extreme Imagination art exhibition, and advises on public projects like the Dreamachine VR experience. Her work appears in venues such as the BBC, New Scientist, and international conferences. Labs & Teams: Leads the Centre for the Study of Perceptual Experience, collaborating with interdisciplinary teams on projects like the Perception Census (with Anil Seth) and policy recommendations for augmented reality technologies.

پروفایل رسمی دانشگاه

DING Xuhuaمشاهده پروفایل

استاد

Singapore Management UniversitySingapore

DING Xuhua is a Professor of Computer Science at the School of Computing and Information Systems , Singapore Management University . He directs the Centre on Security, Mobile Applications & Cryptography (SMC) and leads research in system/software security and applied cryptography. PhD in Computer Science from the University of Southern California (2003) Prior degrees: B.Eng and M.Sc from Shanghai JiaoTong University His research focuses on trustworthy systems using hardware virtualization to counter kernel/user-space attacks, with emphasis on: Virtualization-based malware analysis Hybrid symbolic execution frameworks Secure forensics on compromised TrustZone/ARM devices Privacy-preserving cryptographic protocols Content-based video stream authentication His recent publications (2025-2021) span computer science , cybersecurity , and applied cryptography , with a trend toward hardware-assisted security and dynamic analysis tools. Notable awards include the Best student paper (ACISP 2012) and Best paper (IFIP CMS'12) . He mentors PhD students and leads two NRF research grants , with open positions for postdocs and engineers at OASIS and SMC labs.

پروفایل رسمی دانشگاه

Yang Huمشاهده پروفایل

استادیار

University of Texas at DallasUnited States

Dr. Yang Hu is an Assistant Professor of Electrical Engineering at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. His research focuses on autonomous systems, cybersecurity, and cloud computing, with a particular emphasis on rethinking autonomous driving infrastructure through multi-system networking. He has received an NSF CAREER Award for a project aiming to redesign autonomous driving systems using advanced computing and communication technologies, benefiting AR/VR and industrial IoT applications. Dr. Hu’s work bridges semantic gaps in virtual machine introspection and explores dynamic binary instrumentation frameworks like PEMU. His publications span cybersecurity, embedded systems, and graph processing optimizations. The NSF-funded project ($508,339) highlights his leadership in transforming autonomous systems through networked multi-object architectures. His research achievements include contributions to guest OS fingerprinting in cloud environments and efficient graph processing algorithms. Collaborations involve hypervisor-layer automation tools like HyperShell and hybrid techniques for semantic gap reduction.

پروفایل رسمی دانشگاه

Niklas Georg Bürgiمشاهده پروفایل

پژوهشگر

Max Planck Institute for Biology TübingenGermany

Niklas Georg Bürgi is a postdoctoral researcher in the Department of Computational Neuroscience at the Max Planck Institute for Biological Cybernetics, working in Peter Dayan's group. His research integrates behavioral experiments, neuroimaging, and computational modeling to understand social learning and interaction in both healthy individuals and those with mental disorders. Research Interests: His work centers on computational social cognition , particularly mentalization —the ability to infer others' thoughts—and how it adapts during reciprocal interactions. He investigates how these processes are altered in depression and other psychiatric conditions, combining clinical psychology with advanced neuroimaging and modeling techniques. His research bridges human and artificial intelligence, aiming to uncover mechanistic accounts of social inference. The recent publications highlight a strong trend toward understanding the neural and computational basis of social cognition , with applications in computational psychiatry . His work employs fMRI, machine learning, and game-theoretic paradigms to decode social belief updates and brain network dynamics in depression. Scientific Awards: Annual award for excellent scholarly work by the University of Zurich (for PhD dissertation) Advising and Grants: While no formal students or grants are listed, his research has been supported through institutional funding at the Max Planck Institute and the Zurich Center for Neuroeconomics. He has collaborated with leading researchers in neuroeconomics and clinical psychiatry, suggesting active involvement in interdisciplinary projects and mentorship through research collaboration. Labs and Teams: He is currently part of Peter Dayan’s group at the Max Planck Institute for Biological Cybernetics. Previously, he was a PhD student in Christian Ruff’s group at the Zurich Center for Neuroeconomics (ZNE). His work has involved collaborations with teams in psychodynamic therapy research, neuropsychopharmacology, and healthy aging, indicating a broad interdisciplinary network.

پروفایل رسمی دانشگاه

Niklas Buergiمشاهده پروفایل

پژوهشگر

University of TübingenGermany

Niklas Buergi is a postdoctoral researcher in Peter Dayan's group at the Max Planck Institute for Biological Cybernetics. His research focuses on understanding how human and artificial agents learn from and interact with one another, and how these processes may be altered in individuals with mental disorders through combining behavioural experiments, neuroimaging, and computational modeling. His primary research areas include: Social Cognition and Mentalization (inferring others' emotions and intentions) Computational Neuroscience and Neural Decoding Neuroimaging of socio-affective processes Cognitive alterations in mental disorders Dr. Buergi's recent work reveals groundbreaking insights into adaptive mentalization processes, demonstrating how neural activity can serve as a 'fingerprint' predicting how individuals adjust their beliefs about others' strategies during social interactions. His depression research has identified hyperconnectivity in introspective socio-affective brain networks during reflection on relationship experiences. Professional recognition includes: Dissertation awarded the annual award for excellent scholarly work by the University of Zurich Prior to his current position, Dr. Buergi completed his PhD at the Zurich Center for Neuroeconomics (ZNE) focusing on computational models of social reasoning. His educational background includes Clinical Psychology and Neuroinformatics, complemented by extensive clinical experience at the Psychiatric University Hospital Zurich (Burghölzli), psychiatric day hospitals (PUK), and neuropsychology units (USZ).

پروفایل رسمی دانشگاه

Varun Groverمشاهده پروفایل

استاد

University of Arkansas FayettevilleUnited States

Varun Grover is Distinguished Professor and the George & Boyce Billingsley Endowed Chair in the Department of Information Systems at the Walton College of Business, University of Arkansas. He previously served as the Lee (Duke Energy) Distinguished Professor at Clemson University and has held academic and leadership roles at the University of South Carolina. He is a globally recognized scholar in Information Systems, with extensive affiliations through workshops, keynotes, and collaborations in Taiwan, India, China, Korea, Denmark, and Australia. His educational background includes a B.Tech in Electrical Engineering from the Indian Institute of Technology (IIT), an MBA from Southern Illinois University, and a PhD in Management Information Systems from the University of Pittsburgh. Varun Grover’s research centers on the transformative role of digitalization and artificial intelligence in reshaping organizations, strategies, and individual behavior. His work spans digital strategy, IT-business alignment, platform ecosystems, digital identity, technostress, and the ethical dimensions of AI. He employs diverse methodologies including surveys, experiments, and secondary data analysis, and has made foundational contributions to introspective discourse on the IS field itself. His recent publications explore generative AI, mobile app innovation, digital hoarding, and IT governance. The 15 most recent articles reflect a strong trend toward understanding the societal, organizational, and individual implications of digital technologies—especially AI and mobile platforms. Topics include digital agility, data breach response, free-riding in app ecosystems, and the psychological impacts of IT on users. These works appear in premier journals such as MIS Quarterly , Information Systems Research , and Journal of AIS , underscoring his sustained influence in the field. AIS LEO Award (2020) Thompson Reuters Highly Cited Researcher Stanford Top 6 Scholar in IS (2023) AIS Fellow (2011) Distinguished Alumni Award (IIT and University of Pittsburgh) Multiple teaching excellence awards including MBA Professor of the Year (4x) Stafford Beer Medal for Best Paper in European Journal of Information Systems (2016) Varun Grover has chaired or co-chaired over 45 PhD dissertations and is deeply committed to doctoral education, having led PhD programs at USC, Clemson, and Arkansas. He has served as Senior Editor for MIS Quarterly (two terms), Journal of the AIS (five terms), and currently for MISQ Executive and JAIS . He has also been active in AIS leadership, including roles in ICIS and AMCIS. His research has been supported by extensive grants and recognition, and he has written over 20 advice columns for PhD student success. He leads the ISYS PhD Program at Walton College and continues to mentor the next generation of IS scholars. He is affiliated with research centers and editorial boards globally and has organized numerous workshops and special issues. His work bridges academic rigor with real-world impact, influencing both theory and practice in digital transformation.

پروفایل رسمی دانشگاه

Adrian Pearceمشاهده پروفایل

استاد

University of MelbourneAustralia

Adrian Pearce is a Professor in the School of Computing and Information Systems at The University of Melbourne . He conducts foundational research in automated planning and scheduling, reasoning about actions, and optimization for autonomous systems. His work impacts applications in cognitive robotics, multi-agent systems, and sustainable supply chain logistics. Education : BSc (1st class honors) and PhD in Computer Science from The University of Melbourne and Curtin University, respectively. His research focuses on: Reasoning about action and change (situation calculus, classical planning, reinforcement learning) Strategy synthesis for game structures (linear temporal logic, mu calculus) Introspective reasoning (theory of mind, epistemic logic) Contextual reasoning and ontology adaptation Discrete and continuous optimization (MIP, SAT) Scientific awards include the Erasmus Mundus Academic Scholar Award (2014) and a best paper award at ICAPS 2015. He has supervised numerous PhD students whose work spans reinforcement learning, multi-agent reasoning, and quantum computing applications.

پروفایل رسمی دانشگاه

Yu Fengمشاهده پروفایل

دانشیار

Max Planck Institute for Security and PrivacyGermany

Yu Feng is an Associate Professor in the Computer Science Department at the University of California, Santa Barbara. He received his Ph.D. in Computer Science from the University of Texas at Austin in 2018 and his MS in Computer Science from Beihang University in 2008. His research focuses on programming languages, program analysis and verification, program synthesis, and security. Specifically, he aims to build automated tools that guarantee the desired behavior of systems in a sound, precise, and scalable way. He is particularly interested in applying program synthesis and analysis to tackle security and performance problems in mobile devices and blockchain applications. Professor Feng's recent publications demonstrate a strong focus on program synthesis for security applications, particularly in blockchain and zero-knowledge proofs. His work spans multiple top-tier conferences including PLDI, POPL, ASE, and CCS, showing consistent contributions to both programming languages and security communities. His research often combines logical reasoning with machine learning techniques to develop innovative solutions for complex problems in program analysis and synthesis. Ethereum Academic Award (2025, 2024, 2023) ACM SIGPLAN Distinguished Paper Award, PLDI 2022 ACM SIGCHI Best Paper Award, CHI 2021 Google Faculty Research Award (Security), 2021 ACM SIGSOFT Distinguished Paper Award, ASE 2020 DARPA HARDEN grant (2022-2025) NSF-SaTC grant (2019-2022) ACM SIGPLAN Distinguished Paper Award, PLDI 2018 Professor Feng actively mentors students in his research group, currently advising several PhD students including Yanju Chen, Junrui Liu, Hongbo Wen, and Hanzhi Liu. He has served on program committees for numerous top conferences including CCS, PLDI, OOPSLA, ICSE, ASPLOS, and POPL. His research is supported by prestigious grants including DARPA HARDEN and NSF-SaTC. His laboratory focuses on developing cutting-edge program synthesis and analysis frameworks that combine logical reasoning with machine learning. The team works on applications in blockchain security, zero-knowledge proofs, and secure protocol implementation.

پروفایل رسمی دانشگاه