جست‌وجوی استاد و پژوهشگر

Miroslav Pajicمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Embedded Systems
• Artificial Intelligence
• +۶ مورد دیگر

Miroslav Pajic serves as a Professor in the Department of Electrical and Computer Engineering at Duke University's Pratt School of Engineering. He also holds joint appointments as Associate Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science and Associate Professor of Computer Science. As Director of Master's Studies, he oversees the graduate program in Electrical and Computer Engineering and teaches numerous courses spanning embedded systems, cyber-physical systems design, and robotics. Education: Ph.D. in Electrical and Computer Engineering from University of Pennsylvania (2012) Miroslav Pajic's research focuses on the design and analysis of cyber-physical systems (CPS) with varying levels of autonomy and human interaction. His work spans the intersection of embedded systems, artificial intelligence, machine learning, control theory, formal methods, and robotics. He specializes in developing high-assurance autonomous systems with applications in robotics, automotive systems, and medical devices, with particular emphasis on CPS security and resilient autonomy. His research addresses fundamental challenges in creating systems that can operate reliably in uncertain environments while maintaining security against potential cyber attacks. Analysis of Pajic's recent publications reveals a strong interdisciplinary research program bridging theoretical foundations with practical applications. His work spans secure sensor fusion for distributed autonomy, medical applications of CPS (particularly deep brain stimulation for neurological disorders), and innovative sensing technologies for autonomous vehicles. A significant portion of his research addresses security challenges in cyber-physical systems, including stealthy GPS attacks on UAVs and methods for attack-resilient state estimation. His publications increasingly integrate machine learning techniques with traditional control theory to create more adaptive and robust autonomous systems. Pajic actively mentors graduate students and leads research groups focused on cyber-physical systems security and high-assurance autonomy. His research is supported by multiple grants, including the NSF AI Institute for Edge Computing (Athena), which he co-leads. He has received funding from various sources to support his work on secure and resilient cyber-physical systems, medical device security, and autonomous vehicle technologies. Pajic collaborates extensively with medical researchers on applications of cyber-physical systems in healthcare, particularly in deep brain stimulation for neurological disorders. His work bridges the gap between theoretical control systems and practical implementations in safety-critical domains, with a growing emphasis on translating research into real-world applications that improve system security and reliability.

Alyssa Piersonمشاهده پروفایل

استادیار

• Robotics
• Multi-Agent Systems
• Distributed Control
• +۳ مورد دیگر

Alyssa Pierson is an Assistant Professor in the Department of Mechanical Engineering at Boston University, with affiliations in Robotics & Autonomous Systems and Systems Engineering. She leads the Collaborative Autonomy Group and serves as Chief Scientist at Ava Robotics. Her research focuses on trust, cooperation, and distributed control in multi-agent systems, emphasizing socially-compliant and autonomous robotic systems interacting in dynamic environments. Education: PhD in Mechanical Engineering, Boston University (2017) BS in Engineering, Harvey Mudd College Research Interests: Multi-agent systems, distributed robotics control, socially-compliant autonomous systems, and human-robot interaction. Her work addresses challenges in cooperative teaming, trust modeling, and safe navigation in complex environments. Key Awards: NSF Career Award (2023) MassRobotics Rising Star in Robotics Medal (2023) Clare Booth Luce Fellowship Grants & Projects: Recipient of NSF CAREER Award for 'Decentralized and Online Planning for Emergent Cooperation in Multi-Robot Teams'. Active in projects like heterogeneous teaming and privacy-aware trajectory planning. Labs & Affiliations: Principal Investigator of the Collaborative Autonomy Group. Affiliated with BU's Intelligent, Autonomous & Secure Systems division and the Hariri Institute for Computing.

James Andrew Phillipsمشاهده پروفایل

دانشیار

• Philosophy
• Aesthetics
• Phenomenology
• +۴ مورد دیگر

Associate Professor James Andrew Phillips is a faculty member in the Department of Philosophy within the School of Humanities and Languages at the University of New South Wales (UNSW). He has been at UNSW since 2006, initially serving as a Vice-Chancellor's postdoctoral fellow, followed by an ARC Australian Research Fellow from 2007-2011, before assuming his current combined research-teaching position. His educational background includes undergraduate studies at the University of Queensland, an MA in Comparative Literature and Critical Theory from Monash University, and a PhD in Philosophy from the University of Tasmania (2002). During his doctoral studies, he spent time as an OeAD scholar in Innsbruck and a DAAD scholar in Potsdam. He has also been a visiting research fellow at the Institute for Advanced Studies in the Humanities at the University of Edinburgh and a resident associate at the National Humanities Center in North Carolina. Phillips' research focuses on aesthetics, phenomenology, film and philosophy, political theory, literary criticism, and British and Irish literature. His current book project explores the philosophy of fiction, drawing on concepts of 'world' in Kant and Heidegger. He has translated two significant philosophical works: Christoph Menke's Tragic Play: Irony and Theater from Sophocles to Beckett (2009) and Alexander García Düttmann's Philosophy of Exaggeration (2007). His recent publications demonstrate a strong focus on the intersection of philosophy, aesthetics, and cinema, with particular attention to phenomenological approaches to film studies and the political dimensions of aesthetic experience. His work bridges continental philosophy with contemporary cultural analysis, creating connections between historical philosophical traditions and modern artistic practices. Philosophy Group Convenor Research Committee Member - School of Humanities and Languages Phillips currently supervises PhD candidate Finnegan Hassey (on Arendt's concept of nationalism, jointly with Jess Whyte) and MA student Sofia Kartavtseva (on Sade and aesthetics). He teaches political philosophy, aesthetics, and the history of German philosophy, with planned courses for 2025 including ARTS3368 'Modern European Philosophy' and ARTS2384 'Political Philosophy'.

• Cognitive Science
• Philosophy of Mind
• Distributed Cognition
• +۳ مورد دیگر

Michael Wheeler is a Professor in Philosophy at the University of Stirling, focusing on cognitive science, phenomenology, and the philosophy of technology. His work bridges existentialist philosophy with modern AI ethics and embodied cognition. Key Research Themes: Extended mind, distributed cognition, and transparency in smart machines. Recent Projects: Explore the societal impact of AI, cognitive change in the arts, and the interplay between aging and cognition. Selected Articles (2024-2019): His publications span topics like creativity and contingency in the arts, transparency in AI, and the evolutionary psychology of reasoning. Notable Contributions: Advocates for integrating phenomenology into cognitive science and challenges representationalist frameworks in AI and robotics.

Necmiye Ozayمشاهده پروفایل

دانشیار

• Control Systems
• Optimization
• Formal Methods
• +۵ مورد دیگر

Necmiye Ozay is an Associate Professor in Robotics and Electrical and Computer Engineering at the University of Michigan. Her research focuses on control systems, formal methods, and cyber-physical systems, with applications in autonomy, system identification, and verification. She leads a diverse research group encompassing PhD, MS, and undergraduate students, as well as postdoctoral researchers. Her work bridges theory and practice, addressing challenges in safety-critical systems design and data-driven control. Her educational background includes a PhD in Electrical and Computer Engineering from Northeastern University and a Master’s from Penn State. She has received significant funding from NSF, ONR, and industry partners, supporting projects like the CLEVR-AI initiative and Scenic ecosystem development. Her research has been recognized through awards and collaborations at institutions like MIT, Berkeley, and Johns Hopkins. Key research areas include model-based control synthesis, robust system identification, and anomaly detection in cyber-physical systems. Notable contributions include methods for correct-by-construction control, hybrid system analysis, and learning-based approaches for autonomous systems. She actively contributes to conferences such as HSCC and CDC, and her lab’s work impacts automotive safety, energy systems, and robotics. Ozay’s advising spans over 50 students and postdocs, many of whom hold academic or industry roles. Her lab maintains active collaborations across disciplines, emphasizing interdisciplinary solutions to real-world control challenges.

Zsolt Kiraمشاهده پروفایل

استادیار

• Robotics
• Machine Learning
• Artificial Intelligence
• +۶ مورد دیگر

Zsolt Kira serves as an Assistant Professor in the School of Interactive Computing at Georgia Institute of Technology's College of Computing, with additional affiliations at the Georgia Tech Research Institute and as Associate Director of ML@GT. He leads the Robotics Perception and Learning (RIPL) Lab, driving research at the intersection of machine learning and robotics. Dr. Kira earned his Ph.D. in 2010 under Professor Ron Arkin, establishing foundational expertise in robotics and AI before transitioning to his current academic role after industry experience at SRI International Sarnoff. His research pioneers beyond supervised learning through unsupervised, semi-supervised, self-supervised, and continual/lifelong learning frameworks, while advancing distributed perception via multi-modal fusion and cross-robot information integration. This dual focus addresses core challenges in robotic autonomy and sensor processing. Analysis of his 15 most recent publications reveals dominant trends in embodied AI systems, robust foundation model adaptation, and multimodal learning architectures. Key themes include neural radiance field applications, reinforcement learning for locomotion, and novel benchmarks for memory evaluation in agents. While specific advisees and grants aren't documented in the source material, his RIPL Lab leadership implies active graduate mentorship and research funding acquisition. The lab's work directly enables next-generation robotic systems through algorithmic innovation in perception and learning. The RIPL Lab operates as a hub for developing machine learning techniques that solve difficult perception problems in robotics, with particular emphasis on unsupervised learning paradigms and distributed multi-robot systems that push the boundaries of autonomous operation.

• Computer Vision
• Machine Learning
• Robotics
• +۶ مورد دیگر

Dr. Feras Dayoub is a Senior Lecturer at the School of Computer and Mathematical Sciences (Faculty of Sciences, Engineering and Technology) at the University of Adelaide , specializing in Embodied AI and Robotic Vision within the Australian Institute for Machine Learning (AIML) . He co-directs the CROSSING French-Australian laboratory for human-autonomous agent teaming and holds an Adjunct position at the Queensland University of Technology (QUT) , serving as an Associate Investigator at its Centre for Robotics . Previously, he was a Chief Investigator at the ARC Centre of Excellence for Robotic Vision . His research focuses on advancing reliable deployment of computer vision and machine learning on mobile robots in real-world environments. Applied projects include agricultural automation , environmental conservation , and autonomous infrastructure monitoring . He has published extensively on topics like object detection , domain adaptation , 3D representation learning , and vision-language navigation , with a particular emphasis on robustness in dynamic and partially observed environments. Dr. Dayoub is also an educator specializing in programming , computer vision , and robotic perception . He contributes to open-source robotics research through tools like AARK (Autonomous Racing Toolkit) and has led teams developing solutions for precision agriculture (e.g., Deepfruits fruit detection system) and environmental monitoring (e.g., Crown-Of-Thorns starfish detection ). Key Collaborations : CROSSING Lab, QUT Centre for Robotics Research Themes : Embodied AI, Robust Perception, Domain Adaptation

• Machine Learning Ethics
• Philosophy of Science
• Interpretability in AI
• +۵ مورد دیگر

Thomas Grote is a Research Fellow at the University of Tübingen's Ethics and Philosophy Lab within the Cluster of Excellence 'Machine Learning: New Perspectives for Science'. His research focuses on philosophical and ethical dimensions of artificial intelligence, particularly interpretability, fairness, and reliability in medical and social contexts. He co-supervises the Carl-Zeiss-Stiftung-funded project 'Certification and Foundations of Safe Machine Learning Systems in Healthcare' and co-organizes the 'Philosophy of Science Meets Machine Learning' conference series. Research Focus Grote's interdisciplinary work bridges philosophy of science and applied AI ethics. Key areas include: Methodological foundations of AI ethics and epistemology Clinical reliability and safety of ML systems Fairness metrics in sociotechnical healthcare systems Interpretability requirements for medical AI Computational psychiatry and evolving mental health frameworks His recent publications demonstrate strong emphasis on healthcare applications, with critical analyses of reliability in foundation models, ethical paradigms for LLMs, and rethinking evaluation methodologies at the epistemology-ethics interface.

Tania Burchardtمشاهده پروفایل

دانشیار

• theories of justice
• capability approach
• concepts and measurement of inequality
• +۶ مورد دیگر

Tania Burchardt is an Associate Professor of Social Policy at the London School of Economics (LSE) , where she serves as Deputy Director of STICERD and Associate Director of CASE (Centre for Analysis of Social Exclusion). Her work bridges theoretical frameworks like the capability approach with empirical analyses of inequality , disability policy , and applied welfare policy . Key Research Areas : Theories of justice, inequality measurement, time poverty, and social care systems Leadership Roles : Co-led projects on multidimensional inequality, intergenerational exchanges, and child poverty Her recent work explores intra-household resource allocation , social care inequities , and public engagement in policymaking . She has collaborated with organizations like the Nuffield Foundation and Sense about Science to translate research into practice. Scientific Contributions span empirical studies on: Long-term care funding reforms (2015–2020) Disability-related income disparities Time poverty intersections with economic hardship Data-driven policy recommendations for Roma/Gypsy/Traveller communities Multidimensional child poverty frameworks

• Film Studies
• American Cinema
• Intersectionality
• +۷ مورد دیگر

Hélène Charlery is a Lecturer in Anglophone Studies at the Université Toulouse - Jean Jaurès, affiliated with the Center for Anglophone Studies (CAS). She has held this academic position since 2008 and is actively engaged in research and scholarly activities. Her primary research interests center on intersectionality in American cinema and series , with a specific focus on Black American female directors and the representation of African American women in film and media. Her work critically examines the intersections of race, gender, and sexuality in visual narratives. Her recent publications, including the 2024 journal issue Mainstreaming Intersectionality in Contemporary Cinema and Television which she co-edited, and articles on films by Dee Rees, Ava DuVernay, and Jordan Peele, demonstrate a consistent and evolving scholarly trajectory. Her research analyzes how contemporary films and television series negotiate complex social identities and political themes, particularly through the lens of Black feminism. Scientific Responsibilities Co-Secretary of the Society for the History of Women in the Americas (SHAW) Thesis Supervision Co-supervised the doctoral thesis of Mikael Toulza on Voodoo in North American audiovisual fiction. She has presented her research at numerous international conferences, contributing to academic discourse on gender, race, and representation in the English-speaking world.

Juan Wangمشاهده پروفایل

دانشیار

• Comparative Government and Politics
• Political Economy of Development
• Law and Politics
• +۳ مورد دیگر

Juan Wang is an Associate Professor at McGill University, specializing in the study of the Chinese state, its institutional dynamics, and interactions between state and non-state actors. His research focuses on China's political economy of development, legal systems, and authoritarian governance. He holds a PhD from Johns Hopkins University and teaches courses on Chinese politics, contentious politics, and judicial systems. Research interests emphasize the construction of bureaucracy, local governance patterns, and epistemology of state power. Methodologically, he uses qualitative and historical approaches to explore topics like judicial corruption, police evolution, and cadre discipline. Recent work examines authoritarian cue effects and comparative citizen categorization systems in China and North Korea. His publications span journals such as American Journal of Political Science and China Law and Society Review , analyzing themes like state repression mechanisms, legal mediation practices, and subnational court empowerment. He has contributed a seminal book The Sinews of State Power (2017) on rural governance dynamics. Advising and grants information is not explicitly detailed in the provided text.

Victor Tadrosمشاهده پروفایل

استاد

• Criminal Law
• Terrorism Law
• Philosophy of Law
• +۳ مورد دیگر

Victor Tadros is a Professor of Criminal Law and Legal Theory at the University of Warwick, where he also serves as Public Lectures Coordinator. He holds a BA from Oxford University and a PhD from King’s College London. Prior to his current role, he held positions at the University of Aberdeen, the University of Edinburgh, and was a Carter Visiting Professor at Harvard Law School (2015). His research focuses on criminal law, moral philosophy, just war theory, and the philosophy of punishment. He has authored influential books including *Criminal Responsibility* (2005), *The Ends of Harm* (2011), *Wrongs and Crimes* (2016), and *To Do, To Die, To Reason Why* (2020). His work explores intersections between law, morality, and politics, addressing topics like consent to sex, responsibility, and the ethics of war. Notable awards include the Leverhulme Major Research Fellowship (2014–2018) and election as a Fellow of the British Academy (2018). He has led major research projects on criminalization and contributed to debates on the presumption of innocence, terrorism law, and the philosophy of the criminal trial. His recent publications (2020–2023) engage with refugee rights, moral responsibility in warfare, and the ethics of consent in unjust contexts. He is an Associate Editor at *Ethics* and has supervised numerous research grants, including an AHRC-funded project on criminalization (2010–2013).

Roy Dongمشاهده پروفایل

استادیار

• Control Theory
• Cyber-Physical Systems
• Machine Learning
• +۷ مورد دیگر

Roy Dong is an Assistant Professor at the University of Illinois at Urbana-Champaign, affiliated with the Coordinated Science Laboratory. His research bridges Control Theory Economics Statistics Optimization to address challenges in cyber-physical systems and the Internet of Things, focusing on data manipulation, privacy, and strategic behavior in interconnected systems. His academic journey includes a Ph.D. in Electrical Engineering and Computer Sciences from UC Berkeley (2017) and dual B.S. degrees in Economics and Computer Engineering from Michigan State University (2010). At Illinois, he teaches courses ranging from Control Systems to Convex Optimization , with multiple teaching excellence awards. Roy's research explores Closed-loop effects of machine learning Causality in decision systems Incentive design for strategic agents Privacy-utility tradeoff optimization Human behavior modeling with applications in smart grids, transportation networks, and semi-autonomous vehicles. His work formulates privacy-preserving mechanisms as optimization problems, balancing data utility against user privacy in dynamic systems. Article trends show expertise in Game theory for strategic data sources Energy disaggregation techniques Nonlinear basis pursuit algorithms Privacy-aware control systems with a focus on cyber-physical systems and human-in-the-loop applications. Scientific recognition includes 'Teacher Ranked as Excellent' awards (ECE 120, ECE 486, ECE 515) Contributions to smartSDH building control and CPRL compressive sensing Roy leads the Privacy-aware Control Systems research group, collaborating with institutions like UC Berkeley and Michigan State University , and directs projects funded by grants including the New USDA NIFA grant for agricultural robot autonomy .

• Decision and Control
• Game Theory
• Multi-Agent Systems
• +۷ مورد دیگر

Jeff Shamma is the Department Head and Professor of Industrial and Enterprise Systems Engineering (ISE) at the University of Illinois at Urbana-Champaign, holding the Jerry S. Dobrovolny Chair. He is also courtesy Professor in Aerospace Engineering and Mechanical Science and Engineering. Formerly, he held the Julian T. Hightower Chair at Georgia Institute of Technology and faculty positions at KAUST. Dr. Shamma earned his PhD in Systems Science and Engineering from MIT (1988) and a BS in Mechanical Engineering from Georgia Tech (1983). He is a Fellow of IEEE and IFAC, recipient of the IFAC High Impact Paper Award, AACC Donald P. Eckman Award, and NSF Young Investigator Award. His research spans Decision and Control , Game Theory , and Multi-Agent Systems , focusing on human-machine networks, distributed autonomy, and adaptive robotic systems. Recent work examines crowd dynamics, risk-sensitive control, and feedback linearization for constrained optimization. Jeff has served as Editor-in-Chief of IEEE Transactions on Control of Network Systems (2020–2024) and held editorial roles in journals like Annual Reviews in Control and IEEE Transactions on Robotics . His 15 most recent publications (2024–2025) analyze learning dynamics, multi-agent optimization, and UAV-crawler systems, reflecting trends in autonomous systems, game-theoretic modeling, and industrial inspection technologies. Scientific distinctions include: Fellow of IEEE and IFAC IFAC High Impact Paper Award (2020) AACC Donald P. Eckman Award (1996) NSF Young Investigator Award (1992) Mohammed Dahleh Distinguished Lecture Award (2013) Dr. Shamma advises current PhD students Hassan Abdelraouf, Aya Hamed, and Nawaf Otaibi, with former advisees including Sarah Toonsi (2025) and Fat-hy Rajab (2025). His lab integrates theoretical research with applied projects like FalconScan, a UAV-crawler system for industrial inspection, and develops magnetic legs for curved surface UAV landing.

Nikolai Matniمشاهده پروفایل

استادیار

• Machine Learning
• Control Theory
• Robotics
• +۱۰ مورد دیگر

Nikolai Matni is an Assistant Professor in the Department of Electrical and Systems Engineering at the University of Pennsylvania. He holds a secondary appointment in the Department of Computer and Information Science and is a member of the Applied Mathematics and Computational Sciences (AMCS) graduate group. His research focuses on integrating learning, optimization, and control for safety-critical and data-driven cyber-physical systems, with applications in robotics, autonomy, and distributed control. Secondary Appointment: Computer and Information Science (University of Pennsylvania) Labs/Centers: GRASP Lab, PRECISE Center His research bridges machine learning, robust control, and autonomous systems, particularly in developing guaranteed-safe strategies for cyber-physical systems. He emphasizes the importance of reliability and robustness in learning-based control for applications like self-driving vehicles and agile robots, where failures could be catastrophic. Recent publications highlight advancements in vision-based robotic control, neural ODEs for motion planning, adversarial exploration strategies, and stability-constrained learning. These works span conferences such as ICRA, CoRL, WACV, IROS, and L4DC, with a focus on safety-critical applications. Notable scientific awards include the NSF CAREER Award, George S Axelby Award (for his work on System Level Synthesis), AFOSR YIP award, and Google Research Scholar Award. He was also elevated to IEEE Senior Member. Matni advises Ph.D. students in Computer and Information Science (CIS), Electrical and Systems Engineering (ESE), and Applied Mathematics and Computational Sciences (AMCS). His teaching includes courses like ESE 2030 (Linear Algebra with Engineering/AI applications) and others focused on control theory and robotics.