جستجوی استاد راهنمای دانشگاهی

• Robotics
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Prof. Ingmar Posner is a leading figure in applied artificial intelligence at the University of Oxford, where he serves as Principal Investigator for the Applied Artificial Intelligence Lab (A2I) and founding Director of the Oxford Robotics Institute. His work focuses on enabling robots to operate effectively in complex real-world environments through experience-driven learning. Key research areas: robot learning, scene interpretation, data-efficient learning, and transfer learning Applications in manipulation, autonomous driving, logistics, and space exploration His team has produced groundbreaking work in world models, sim-to-real transfer, and constraint-based manipulation systems (e.g., COMBO-Grasp). Notable contributions include the TWIST distillation framework and foundational research in tactile data generation (TactGen). He has received multiple best paper awards at top robotics venues. Publications reveal evolving research themes: 2025 work emphasizes language-conditioned learning (Lumos) and multi-agent decision-making, while 2024 focused on diffusion models for locomotion and differentiable simulators. Earlier work spans from urban scene analysis to physically plausible scene synthesis (RELATE).

Dean Ecklesمشاهده پروفایل

دانشیار

• Social Influence
• Network Analysis
• Causal Inference
• +۴ مورد دیگر

Dean Eckles is an Associate Professor of Marketing at MIT Sloan School of Management and serves as an Associate Director of the MIT Institute for Data, Systems, and Society (IDSS). He is also affiliated with the MIT Schwarzman College of Computing through the Institute for Data, Systems & Society and its Statistics and Data Science Center. Additionally, he leads the analytics research area at the Initiative on the Digital Economy and organizes the annual Conference on Digital Experimentation (CODE@MIT). His educational background includes a BA in philosophy, BS and MS in cognitive science, MS in statistics, and PhD in communication, all from Stanford University. Prior to joining MIT, Eckles worked as a scientist at Facebook, where he contributed to areas including News Feed, messaging, advertising, tools for randomized experiments, and survey methods. He previously held research positions at Nokia and Yahoo. Eckles's research primarily focuses on social influence mediated by interactive technologies, examining how communication technologies mediate, amplify, and direct social influence. His work spans multiple specific areas including social interactions, contagion, and interventions in networks; experimental design and inference in networks; and methods for causal inference. His research often combines social science with advanced statistical methods. His notable publications include research on long ties in social networks and their relationship to economic prosperity, how network structure affects social contagions, and algorithmic transparency in social media platforms. His work has appeared in prestigious journals including PNAS and Nature Human Behaviour, and he has provided expert testimony before the US Senate on algorithmic ranking. Long ties, disruptive life events and economic prosperity (PNAS) Long ties accelerate noisy threshold-based contagions (Nature Human Behaviour) Algorithmic transparency and assessing effects of algorithmic ranking (Senate testimony) Eckles actively shares his research through social media platforms including Bluesky, Twitter, and Mastodon, as well as through his blog and contributions to the Gelman et al. blog. His work bridges academic research with practical applications in technology and policy.

Wim Geversمشاهده پروفایل

استاد

• Cognitive control
• Metacognition
• Working memory
• +۳ مورد دیگر

Wim Gevers is a faculty member at the Université libre de Bruxelles (ULB) and leads the CS4S – Cognitive Control & Sleep laboratory within the CRCN research centre. His work bridges cognitive psychology, neuroscience and sleep research to understand how the brain exerts control over thoughts and actions and how sleep contributes to these processes. Research Interests Cognitive Control & Metacognition: Investigating how subjective experiences such as confidence and the "urge-to-err" guide strategic adjustments in behaviour. Working Memory & Ordinal Cognition: Examining how order information is maintained and manipulated, and how these processes relate to mathematical competence. Sleep, Memory & Decision Making: Exploring how sleep-dependent consolidation influences motor learning and decision strategies. Across his 2022–2025 publications a clear trend emerges: a focus on metacognitive monitoring —how humans evaluate their own cognitive states—and the role of emotional and temporal context in shaping those evaluations. Studies range from reaction-time introspection and confidence judgements in perceptual tasks to the impact of aging and depression on metacognitive accuracy. Doctoral Supervision & Mentoring Whitney Stee (PhD 2024) – Sleep-dependent structural brain reorganization & motor learning Gaia Corlazzoli (PhD 2024) – Subjective experience in decision-making Myrtille Dewulf (PhD 2023) – Ordinal coding mechanisms in working memory Rebeca Sifuentes-Ortega (PhD 2023) – REM sleep and memory reactivation All dissertations were defended at ULB, Faculté des Sciences psychologiques et de l’éducation, with Wim Gevers formally listed as Promotor . Laboratory & Collaborative Networks As head of CS4S, Gevers coordinates a multidisciplinary team that combines behavioural experimentation, EEG/MEG, computational modelling and sleep polysomnography. The lab is embedded in the larger CRCN ecosystem, fostering collaborations with groups such as CO3 (consciousness), LCLD (language & deafness), and UR2NF (neurofunctional imaging).

Joydeep Biswasمشاهده پروفایل

دانشیار

• Robotics
• Artificial Intelligence
• Long-term autonomy
• +۵ مورد دیگر

Joydeep Biswas is an Associate Professor in the Computer Science Department at the University of Texas at Austin, where he serves as the Director of the Autonomous Mobile Robotics Laboratory (AMRL). He is also affiliated with Texas Robotics, the UT Machine Learning Laboratory, and UT Good Systems. Previously, he was an Assistant Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst. Dr. Biswas earned his PhD in Robotics from Carnegie Mellon University in 2014 and his B.Tech in Engineering Physics from the Indian Institute of Technology Bombay in 2008. His educational background has provided him with a strong foundation in both theoretical and applied aspects of robotics and artificial intelligence. Dr. Biswas's research focuses on enabling long-term autonomy for mobile robots operating in human environments. His work spans robot perception, motion planning, control systems, and AI, with the ultimate goal of creating self-sufficient autonomous mobile robots that can perform tasks accurately and robustly in real-world settings. He is particularly interested in perception, planning, and failure recovery for autonomous mobile robots, which supports his vision of having autonomous service mobile robots deployed at campus-to-city scale, both indoors and outdoors, performing assistive tasks over deployments spanning years. His IJCAI 2019 Early Career Spotlight talk summarizes much of his research to date and ongoing interests. His recent research has shown a strong trend toward social navigation, human-robot interaction, and the application of machine learning techniques to robotics problems. There's a clear progression from fundamental robotics research toward more complex, real-world applications that require robots to understand and navigate human social spaces effectively. His work increasingly integrates large language models and other advanced AI techniques with traditional robotics approaches, as evidenced by his recent publications on topics like preference-conditioned navigation, social navigation benchmarks, and instruction-following navigation systems. Dr. Biswas has received numerous prestigious awards including the NSF CAREER Award (2021), J.P. Morgan Faculty Research Award (2019), Amazon Research Award (2019), and a grant from Northrop Grumman Mission Systems (2018). These awards recognize his innovative contributions to the field of robotics and autonomous systems. As a dedicated educator and mentor, Dr. Biswas actively supervises PhD and master's students, with his PhD student Sadegh Rabiee winning the student poster award at the Northrop Grumman University Symposium 2019. He has secured significant grant funding from the National Science Foundation for projects including 'Introspective Perception and Planning for Long-Term Autonomy' and 'Interactive Synthesis and Repair For Robot Programs,' demonstrating his ability to secure competitive research funding and his commitment to advancing the field. Dr. Biswas leads the Autonomous Mobile Robotics Laboratory (AMRL), which serves as a hub for interdisciplinary research in mobile robotics. The lab has developed notable resources such as the UT Campus Object Dataset (CODA) for 3D perception research and SOCIALGYM, a framework for benchmarking social robot navigation. His team regularly deploys robots on the UT Austin campus and in urban environments to test and refine their approaches in realistic settings, bridging the gap between simulation and real-world application.

Christian Rossowمشاهده پروفایل

استاد

• Software Security
• System Security
• Network Security
• +۱۵ مورد دیگر

Christian Rossow is Faculty at CISPA – Helmholtz Center for Information Security in Dortmund, Germany, where he leads the System Security research group. He holds dual academic appointments as a professor in the Computer Science department at Saarland University and as an honorary professor at TU Dortmund University. His research spans systems, software, and network security, with a focus on cyber attacks, defenses, and privacy. Research Interests: His primary research areas include software and system security (e.g., exploitation techniques, compiler-assisted defenses, AI-assisted (in)security), network security (e.g., DDoS mitigation, attack attribution, traffic analysis), and cybercrime (e.g., malware analysis, data-driven studies). He emphasizes foundational research with practical applications. Publication Trends: His recent work (2023–2025) shows a strong focus on microarchitectural attacks (e.g., cache side-channels, prefetcher analysis), browser and web security (e.g., sandbox escapes, CSS fingerprinting), network protocol vulnerabilities (e.g., TCP spoofing, infinite loops), and applied cryptography (e.g., ISA extensions for key management). His research consistently targets top-tier venues like IEEE S&P, USENIX Security, ACM CCS, and NDSS. Distinguished Paper Award at IEEE EuroS&P 2021 Best Student Paper Award at MIT Spam Conference 2010 Advising and Grants: He actively supervises PhD students and postdoctoral researchers, with alumni placed in industry (NVIDIA, Crowdstrike, Continental) and academia. His research is supported by major grants including EU H2020 SISSDEN, BMBF-funded BOB, DFG-funded anonymous communication, and RAMSES. He regularly serves in leadership roles in the community, including PC Chair for RAID 2022/2023 and USENIX WOOT 2018, and Track Chair for ACM CCS 2026. Labs and Teams: He leads the System Security research group at CISPA, a world-leading institution for security and privacy. The group comprises talented full-time researchers and focuses on cutting-edge research with strong individual supervision and worldwide collaborations.

Ada Gavrilovskaمشاهده پروفایل

استاد

• Systems Software
• Emerging Technologies
• High-Performance Computing
• +۷ مورد دیگر

Ada Gavrilovska is a Professor at Georgia Tech's School of Computer Science under the College of Computing. Her work focuses on systems software for emerging technologies, including hybrid memory systems, edge computing, and cloud infrastructure. She leads projects in the PRISM Center and ADA Center , with funding from NSF, DoE, SRC, and industry leaders like Cisco and VMware. Education: PhD in Computer Science, Georgia Tech (2004) Research Interests: Designing systems for new hardware and applications, including edge computing, heterogeneous memory management, and LEO satellite platforms. Her work bridges low-level OS mechanisms with high-level distributed systems challenges. Recent Publications highlight trends in LEO satellite resource scheduling Edge-based ML preprocessing Hybrid memory OS abstractions Disaggregated graph analytics Compiler-assisted performance optimization Scientific Awards: Best paper, NFV World Congress (2016) Spotlight paper, IEEE Transactions on Cloud Computing (2014) ISCA-50 25-year retrospective (2023) Advising & Grants: Ada has mentored over 15 PhD students and 10 MS students, with research supported by NSF, DoE, SRC, and industry grants. She serves as PI in the SRC/DARPA PRISM Center.

Christian Rossowمشاهده پروفایل

استاد

• Network Security
• System Security
• Software Security
• +۹ مورد دیگر

Prof. Dr. Christian Rossow is a faculty member at CISPA – Helmholtz Center for Information Security in Dortmund, Germany. He also serves as a professor at Saarland University and an honorary professor at TU Dortmund. His research focuses on network security , system/software security , and cyber attacks and countermeasures . His recent publications include work on CSS exploitation for browser fingerprinting, Spectre mitigations on ARM, DDoS attack analysis, and hardware-assisted security extensions. Christian Rossow regularly serves as a PC member and track chair for top cybersecurity conferences like ACM CCS and USENIX Security . He advises multiple PhD students and leads a research group exploring foundational and practical security solutions.

Mendel Rosenblumمشاهده پروفایل

استاد

• System Software
• Distributed Systems
• Computer Architecture
• +۴ مورد دیگر

Mendel Rosenblum is the Cheriton Family Professor and holds dual appointments as Professor in the Departments of Computer Science and Electrical Engineering at Stanford University. He is a co-founder of VMware Inc. and served as its Chief Scientist for its first decade, playing a pivotal role in designing foundational virtualization technologies. Rosenblum's research focuses on system software, distributed systems, and computer architecture, with notable contributions to virtualization, data center networks, and operating systems. He leads the Platform Lab at Stanford, exploring next-generation data center technologies and high-performance computing systems. Administrative Role: Faculty Director of Stanford Computer Forum (2012–present) Education: PhD (UC Berkeley, 1992), MS (UC Berkeley, 1989), BA (University of Virginia, 1984) His research interests span disk storage management, computer simulation, scalable operating systems, and security. Recent work emphasizes deployable consensus algorithms, programmable smartNICs, and self-programming networks. Rosenblum has authored over 80 publications and holds multiple patents in virtualization and system software. Awards & Recognition: ACM System Software Award (2009) IEEE Computer Entrepreneur Award (2011) ACM Thacker Breakthrough in Computing Award (2018) Member, National Academy of Engineering (2013) He advises PhD and Master's students, including current advisees Sina Jandaghi Semnani and Zixi Liu. Rosenblum teaches advanced courses on web applications, distributed systems, and independent research projects.

Timothy Williamsonمشاهده پروفایل

استاد

• Epistemology
• Metaphysics
• Philosophy of Language
• +۳ مورد دیگر

Timothy Williamson is a prominent Professor of Philosophy at the University of Oxford, holding the prestigious Wykeham Professorship of Logic. His academic career spans several decades with continuous contributions to analytic philosophy, particularly in epistemology, metaphysics, and philosophical logic. His work has positioned him as one of the leading philosophers of his generation. Williamson's research interests concentrate on epistemology (particularly his influential knowledge-first approach), metaphysics, philosophy of language, and philosophical logic. His work on vagueness champions epistemicism—the view that vague predicates have sharp boundaries that we cannot know. His book Knowledge and its Limits revolutionized epistemological thinking by placing knowledge rather than belief at the center of epistemological theory. Williamson has also made significant contributions to modal metaphysics, higher-order thought, and the philosophy of logic. His publication record reveals consistent engagement with foundational philosophical problems across several decades. His most recent work continues his exploration of knowledge-first epistemology while expanding into moral epistemology and methodological questions in philosophy. Williamson's articles demonstrate a distinctive blend of logical precision and philosophical depth, often using formal methods to address traditional philosophical problems. His work frequently intersects with debates in philosophy of language, metaphysics, and philosophical methodology. Williamson has been actively engaged in scholarly debate through numerous replies to critics, demonstrating his commitment to rigorous philosophical dialogue. His publications span major philosophy journals including Synthese , Canadian Journal of Philosophy , Analysis , and Philosophy and Phenomenological Research . Throughout his career, Williamson has mentored numerous graduate students and collaborated with leading philosophers across the globe. His methodological approach emphasizes the value of formal modeling in philosophical inquiry, arguing that philosophy can benefit from the model-building approaches common in natural sciences.

John D. Kubiatowiczمشاهده پروفایل

استاد

• Computer Architecture
• Quantum Computing
• Distributed Systems
• +۷ مورد دیگر

Professor John D. Kubiatowicz is a faculty member at the University of California at Berkeley in the Department of Electrical Engineering and Computer Sciences since 1998. He holds a PhD in Electrical Engineering and Computer Science (minor in Physics) from MIT (1998), an M.S. in EECS (1993), and a double B.S. in Electrical Engineering and Physics (1987) from MIT. His research interests span Quantum Computing Architectures Distributed Systems and Storage Network Security and Peer-to-Peer Protocols Introspective and Manycore Operating Systems Edge and Fog Computing Hardware-Assisted Security He has pioneered systems like OceanStore , a global-scale distributed file system, and Tessellation , a manycore OS with continuous adaptation. The scientific awards he has received include Presidential Early Career Award (PECASE, 2000) Scientific American 50 (2002) Diane S. McEntyre Teaching Award (2003) IEEE ICRA Best Paper (2025) George M. Sprowls Award for MIT PhD thesis (1998) Okawa Research Grant (1998) Best Paper at International Conference on Supercomputing (1993) His recent publications focus on Quantum Circuit Design and Optimization Edge/Fog Computing Architectures Secure Runtime Systems Distributed Garbage Collection Manycore OS Innovations Hardware-Assisted Security Mechanisms He leads the Quantum Architecture Research Center and co-founded the SWARM Lab at Berkeley, advancing a vision of self-adapting, secure systems from the chip level to internet scale.

Yue Liمشاهده پروفایل

دانشیار

• Program Analysis
• Programming Languages
• Static Program Analysis
• +۳ مورد دیگر

Yue Li is an Associate Professor at the School of Computer Science, Nanjing University, where they co-run the PASCAL Research Group with Tian Tan. Their work focuses on static program analysis techniques and tools for programming languages, software engineering, security, and hardware verification. PhD in Computer Science from UNSW Sydney (2016) Postdoctoral research at Aarhus University (Denmark) and UNSW Sydney B.Eng and M.Eng from Northwestern Polytechnical University (2010, 2012) Research interests center on Program Analysis and Programming Languages , with a focus on: Pointer analysis for database-backed applications Context sensitivity optimization Reflection analysis in Java/Android Operational semantics for hardware languages Distributed dataflow analysis frameworks Developer-friendly static analysis tools Key publication trends (2016-2025) span static analysis , pointer precision , reflection handling , and tool frameworks across conferences like OOPSLA, PLDI, ICSE, ISSTA, and journals including TOPLAS and IEEE TSE. Notable artifacts include Tai-e and Chianina systems. 2025: ICSE Best Artifact & Distinguished Paper Awards 2024: IEEE TSE Publication on Generic Sensitivity 2023: OOPSLA Distinguished Artifact, SPLASH/ECOOP committees 2021: National Youth Talent Support Program, ZiJin Scholar 2016: ECOOP Distinguished Paper, CGO Best Paper As co-PI of PASCAL Research Group, they lead projects on precision-guided analysis, microservice systems, and cloud-based dataflow frameworks, with teaching awards for SICP and Software Analysis courses.

• Philosophy of Mind
• Ethics of Technology
• AI Ethics
• +۳ مورد دیگر

Dr. Adam Andreotta is a Lecturer in the School of Management and Marketing at Curtin University's Faculty of Business and Law. He holds a position in the Office of the Provost, contributing to institutional academic governance. His research focuses on intersections between philosophy, technology ethics, and cognitive science, particularly exploring self-knowledge, AI ethics, and data governance. He has authored books and peer-reviewed articles addressing transparency, informed consent in digital contexts, and the moral status of AI systems. Key research themes include philosophical methodologies applied to modern technological challenges, epistemological debates about introspection and agency, and ethical frameworks for automation. His 2024 book *New Perspectives on Transparency and Self-Knowledge* advances novel approaches to understanding self-awareness in an age of big data. Recent publications analyze automated consent mechanisms and the future of AI rights. Andreotta's work bridges traditional philosophical inquiry with contemporary technological dilemmas, emphasizing interdisciplinary collaboration between computer science, ethics, and cognitive studies. While no specific grants or student advisement records are listed, his publications indicate sustained engagement with emerging ethical challenges in artificial intelligence and digital governance.

Jakub Mihálikمشاهده پروفایل

پژوهشگر ارشد

• Philosophy of Consciousness
• Metaphysics of Mind
• Russellian Monism
• +۵ مورد دیگر

Jakub Mihálik is a philosopher specializing in metaphysical and epistemological questions related to phenomenal consciousness. He works as a Research Fellow in the Department of Analytic Philosophy at the Institute of Philosophy of the Czech Academy of Sciences and serves as an External Lecturer in the Department of Philosophy & Religious Studies at Charles University, Faculty of Arts. He was a Fulbright Visiting Scholar at NYU's Center for Mind, Brain and Consciousness (2022/23) and led The Consciousness & Matter Project at the University of Hertfordshire (2019-2021). Education : PhD in Philosophy (2016) from Charles University under Prof. James Hill Research : Focuses on non-reductive theories of consciousness including Russellian monism, inner awareness, and the metaphysics of subjectivity Grants : Fulbright Commission Grant (2022-23), Ministry of Education Grant (2019-2021), GAČR Grant (2012-15) His publications analyze the relationship between physicalism and consciousness, with a particular emphasis on panqualityism, explanatory gaps, and the problem of 'for-me-ness'. His work frequently engages with philosophers like David Chalmers, Sam Coleman, and Bertrand Russell. He has presented at major conferences including the Association for the Scientific Study of Consciousness and The Science of Consciousness Conference. He currently serves as principal investigator for the Czech Science Foundation-funded project Monism and the Subjectivity Challenge , overseeing a research team including PhD advisee Milan Zeman. His philosophical outreach includes public debates and media appearances discussing consciousness in technology and virtual reality.

Evangelia Kalyvianakiمشاهده پروفایل

مدرس ارشد

• Cloud Computing
• Big Data Processing
• Autonomic Computing
• +۶ مورد دیگر

Evangelia (Eva) Kalyvianaki is a Senior Lecturer (equivalent to Associate Professor) in the Department of Computer Science and Technology at the University of Cambridge , where she is also a member of the Systems Research Group / netos group . Previously she held faculty positions as Lecturer at City University London and as post-doctoral researcher at Imperial College London. Education Ph.D. in Computer Science, Computer Laboratory (SRG/netos group), University of Cambridge M.Sc. in Computer Science, University of Crete, Greece B.Sc. in Computer Science, University of Crete, Greece Research Interests Her research spans the broad areas of Cloud Computing , Big Data Processing , Autonomic Computing , and Distributed Systems . A central theme is the design and management of next-generation, large-scale cloud applications, with an emphasis on applying mathematical reasoning—particularly control-theoretic techniques such as Kalman and H-infinity filtering—to address the complexity and uncertainty inherent in modern distributed infrastructures. Topics of active investigation include adaptive CPU and resource provisioning for virtualized servers, fairness and overload management in federated stream-processing systems, explicit state management for big-data frameworks, and distributed optimization algorithms for large-scale networked systems. Publications & Research Impact Across more than thirty peer-reviewed papers, her work demonstrates a consistent trajectory toward bridging rigorous control theory with practical systems challenges in the cloud. Signature contributions include the THEMIS framework for fair federated stream processing, dynamic block-sizing algorithms for data-stream engines, and robust resource-provisioning schemes based on advanced filtering techniques. Recent publications extend these ideas to fully distributed, finite-time coordination protocols that operate under quantized communications and time-varying delays, reflecting an expanding scope toward large-scale networked control systems. Scientific Awards No specific awards or fellowships are listed in the provided material. Advising & Funding While individual student names are not disclosed, her extensive publication record with numerous co-authors indicates active supervision of doctoral and master’s researchers. Funding acknowledgements in papers suggest support from UK research councils, EU projects, and industrial partnerships, although explicit grant details are not provided. Labs & Teams She is affiliated with the Systems Research Group (netos) within the Cambridge Computer Laboratory, a leading collective focused on networked and operating systems research, providing a collaborative environment for experimental cloud and distributed-systems work.

Peter Desnoyersمشاهده پروفایل

دانشیار

• Data Storage Systems
• Cloud Computing
• Object Storage
• +۳ مورد دیگر

Peter Desnoyers is an Associate Professor at the Khoury College of Computer Sciences at Northeastern University and an Affiliated Faculty member in the Department of Electrical and Computer Engineering . He co-leads the Mass Open Cloud initiative, focusing on hybrid cloud systems combining multiple tenants and providers. PhD, University of Massachusetts Amherst (2003-2008) SB and SM, MIT (1982-1988) His research spans data storage systems , cloud computing , object storage and caching , and SMR translation layers . Recent work includes hybrid caching mechanisms, flash storage optimization, and secure multi-provider cloud environments. Publications highlight trends in distributed storage, translation layer frameworks, and non-intrusive software introspection. Scientific awards include a $1.55M NSF Grant (2019) for cloud technologies innovation. His advisees include Mohammad Hossein Hajkazemi and Mania Abdi , with collaborations across institutions like MIT, Boston University, and University of Massachusetts Amherst.