جست‌وجوی استاد و پژوهشگر

Sam Thellmanمشاهده پروفایل

استادیار

• Cognitive Science
• Human-Robot Interaction
• Artificial Intelligence
• +۳ مورد دیگر

Sam Thellman is an Assistant Professor in Cognitive Science at Linköping University, affiliated with the Department of Computer and Information Science (IDA) and the Human-Centered Systems (HCS) division. His research focuses on folk-psychological interpretations of AI systems, particularly how humans attribute mental states and intentions to robots and autonomous vehicles. He investigates human-AI interaction to design more predictable and explainable systems, with interdisciplinary work on human-vehicle interaction in self-driving car contexts. Education: Ph.D. in Cognitive Science (2021). Teaching responsibilities include the Bachelor’s program in Cognitive Science, courses on Distributed and Situated Cognition, and Applied Cognitive Science. His research spans human-robot interaction, mental state attribution, and autonomous vehicle behavior perception. Publications highlight topics such as robot emotional capabilities, driving simulation studies, and societal impacts of AI. His work emphasizes ethical and human-centric approaches to technology development. No scientific awards are explicitly listed, but his contributions to explainable AI and human-centered computing are significant.

Abhishek Cauligiمشاهده پروفایل

استادیار

• Spacecraft Autonomy
• Robotics
• Machine Learning
• +۳ مورد دیگر

Abhishek Cauligi is an incoming Assistant Professor of Mechanical Engineering, starting in Summer 2025. Prior to this role, he worked as a Robotics Technologist at NASA Jet Propulsion Laboratory and earned his PhD in Aeronautics & Astronautics from Stanford University. His doctoral research focused on accelerating trajectory optimization using machine learning, with experiments conducted on the International Space Station. His research interests center on spacecraft and robotic autonomy, leveraging nonlinear optimization, machine learning, and control theory to advance autonomous space exploration. Key areas of focus include trajectory optimization, autonomous systems, and machine learning-driven solutions for space robotics. Recent work highlights include studies on transformer-based constraint prediction for powered descent guidance, diffusion policies for spacecraft trajectory generation, and stochastic optimization for asteroid reconnaissance. He has also contributed to lunar navigation systems (ShadowNav) and multi-agent autonomy for planetary exploration, such as the Cadre Lunar Technology Demonstration. Notable collaborations include the CoSTAR team’s victory in Phase II of the DARPA Subterranean Challenge, showcasing advanced robotic autonomy in challenging environments. His innovations span from gecko-inspired adhesive testing aboard the ISS to recurrent neural network approaches for mixed-integer optimal control problems.

Mei-Hua Leeمشاهده پروفایل

دانشیار

• Motor Development
• Motor Learning
• Infant and Early Childhood Development
• +۵ مورد دیگر

Mei-Hua Lee is an Associate Professor in the Department of Kinesiology at Michigan State University. She holds a Ph.D. from The Pennsylvania State University and leads the Motor Development and Learning Lab (SDLab). Her work focuses on motor development across the lifespan, particularly how infants and young children learn to interact with their environment through reaching and grasping behaviors. She integrates kinematic analysis, biofeedback, and qualitative methods to study motor skill acquisition and its implications for motor learning and rehabilitation theories. Her research explores the transition from spontaneous movements to goal-directed actions in infancy, leveraging advanced technologies like wearable sensors and machine learning for activity classification. She has pioneered body-machine interface systems to enable assistive device control for individuals with severe motor impairments. Lee’s studies also address methodological challenges in motor learning research, including missing data practices and the design of rigorous experimental protocols. Key collaborations involve interdisciplinary teams from engineering, neuroscience, and pediatrics. Her lab actively develops novel tools for early detection of developmental disorders through movement analysis and promotes translational research in neurorehabilitation technologies.

Lina Rahmمشاهده پروفایل

استادیار

• History of Science and Technology
• Artificial Intelligence Ethics
• Environmental Humanities
• +۳ مورد دیگر

Lina Rahm is an Assistant Professor in the History of Media and Environment at KTH Royal Institute of Technology, affiliated with the Digital Futures Faculty and the Division of History of Science, Technology and Environment. Her research focuses on the intersection of artificial intelligence (AI), autonomous systems, and environmental governance, examining how technological imaginaries shape societal challenges. Her academic career includes a PhD from Linköping University (2019) titled Educational Imaginaries: A Genealogy of the Digital Citizen . Key research projects include WASP-HS-funded initiatives exploring AI’s role in environmental research and its societal implications. She critically analyzes how educational systems prepare citizens for AI-driven futures, emphasizing ethical governance and equity. Rahm teaches courses such as Artificial Intelligence and Sustainable Development and Gender and Technology , integrating interdisciplinary approaches from media studies, environmental humanities, and science and technology studies. She is affiliated with the Posthumanities Hub and the Reconfigurations of Educational In/Equality in a Digital World (RED) research groups. Her publications span peer-reviewed journals like Postdigital Science and Education and Learning, Media & Technology , addressing topics like AI ethics, educational governance, and sociotechnical imaginaries. She actively contributes to public debates through reports like AI in Disasters and Crises: From Corona to Climate Change (2022).

Nicole Robinsonمشاهده پروفایل

مدرس

• Human-Robot Interaction
• Robotics
• AI Ethics
• +۳ مورد دیگر

Dr. Nicole Robinson is a Lecturer at Monash University, cross-appointed between the Faculty of Engineering and the Faculty of Medicine, Nursing & Health Sciences. She holds affiliations with the Department of Electrical and Computer Systems Engineering and the School of Psychological Sciences. Her interdisciplinary research focuses on human-robot interaction, translating human behavior into robotics systems to advance human-robot collaboration. She has led clinical trials and experimental studies involving humanoid and socially interactive robots, with a particular emphasis on healthcare applications and team performance in search-and-rescue missions. Dr. Robinson previously served as a Chief Investigator and Program Leader of Human Interaction at the QUT Robotics Centre, and is currently an Honorary Adjunct Lecturer at Queensland University of Technology. She co-founded LYRO Robotics, a venture-backed company developing AI-driven robotic solutions for warehousing and agriculture, which won the 2020 Unicorn Cup as Australia’s top startup. Her work spans $7.4M in competitive grants and industry partnerships, emphasizing ethical robotics and public outreach. Her research interests include human-robot teamwork, explainable AI, and behavioral psychology. She has published extensively on HRI methodologies, trust dynamics, and social robots in healthcare. Notable awards include the 2018 Best Team Award and 2019 Contribution to Public Debate Award from the Australian Centre for Robotic Vision. Dr. Robinson is a sought-after speaker, with a media reach exceeding 40 million, and has hosted a podcast on AI and robotics. She actively promotes STEM education and gender diversity, contributing to courses and guest lectures at multiple institutions.

Timothy Wileyمشاهده پروفایل

مدرس

• Autonomous Robotics
• Artificial Intelligence
• Online Learning
• +۶ مورد دیگر

Dr. Timothy Wiley is a Lecturer in Computer Science at RMIT University's School of Computing Technologies within the STEM College. He specializes in Artificial Intelligence and Robotics, focusing on autonomous systems, online learning, and human-robot interaction. His roles include leading the RedbackBots RoboCup team and designing core courses in AI and robotics. He holds a PhD from UNSW Sydney and has extensive industry and academic collaborations, including with Rheinmetall Defence Australia and Nova Systems. Affiliations: RMIT AI Innovation Lab, CIAIRI, RUASRT Education: PhD (Computer Science, UNSW), BSc (Computer Science, UNSW) Research: Autonomous robotics, Explainable AI, UAV systems, fatigue crack modeling Research interests center on data-efficient machine learning for robotics, explainable AI, and applications in agriculture, aviation, and defense. Recent projects include UAV delivery systems and AR visualization for RoboCup. He teaches courses like Programming Autonomous Robots and leads the first-year Programming Studios. Notable achievements include the 2025 Best Paper Award at HRI and finalist status in RMIT's 2023 Research Leadership Awards. His work bridges academic research with industry applications, such as food waste reduction in macadamia harvesting and urban wind environment modeling for AAM.

Sourav Gargمشاهده پروفایل

پژوهشگر ارشد

• Computer Vision
• Robotics
• Deep Learning
• +۴ مورد دیگر

Dr. Sourav Garg is a Research Fellow at QUT's School of Electrical Engineering and Robotics, affiliated with the QUT Centre for Robotics and the Australian Centre for Robotic Vision (ACRV). He holds a PhD from QUT (2019) and specializes in robotic vision, with a focus on visual place recognition, scene understanding, and robot navigation. His research emphasizes practical applications, such as localization using visual semantics and addressing viewpoint and scene appearance challenges. Dr. Garg's work has been recognized with awards including the Executive Dean's Commendation for his thesis and the SAGE QUT Publication Prize. He has published extensively in top-tier venues like the International Journal of Robotics Research (IJRR), IEEE ICRA, and ECCV. His research has been featured in media outlets such as Brisbane Times and Engineers Australia. Education: PhD in Robotics from QUT (2019) Affiliations: QUT Centre for Robotics, ACRV Research Affiliate Research Highlights: Pioneered semantic-geometric approaches for place recognition, developed open-source tools like OpenSeqSLAM2.0, and explored multi-resolution and multi-scale fusion techniques for visual localization. His contributions span collaborations with government organizations and industry, focusing on applications in autonomous systems, drones, and indoor robots.

Daigo Shishikaمشاهده پروفایل

استادیار

• Robotics
• Autonomy
• Dynamics and Controls
• +۷ مورد دیگر

Daigo Shishika is an Assistant Professor in the Department of Mechanical Engineering at George Mason University's College of Engineering. His research focuses on autonomy, dynamics, controls, and robotics, particularly in multi-agent systems and cooperative control of robot teams in adversarial environments. PhD, Aerospace Engineering, University of Maryland, College Park Master of Science, Aerospace Engineering, University of Maryland, College Park Bachelor of Science, Aerospace Engineering, University of Tokyo Dr. Shishika's research interests lie at the intersection of robotics and game theory, with a strong emphasis on multi-robot systems , cooperative control , and adversarial engagement . He explores bio-inspired swarming behaviors—such as those observed in mosquitoes—to design scalable and robust distributed algorithms. His work also investigates deception through motion , dynamic resource allocation , and perimeter defense games , aiming to enable robot teams to operate effectively under uncertainty and limited sensing. The recent publications reflect a strong trend in applying game-theoretic models to multi-robot coordination, especially in security and defense contexts. Themes include dynamic games, adversarial resource allocation, perimeter defense, and distributed decision-making on graphs. These works combine control theory, artificial intelligence, and robotics to solve real-world challenges in autonomous teaming. Scientific recognition includes: Nominated for Best Paper in Cognitive Robotics at IROS 2023 Dr. Shishika advises several PhD students including Vi Rostobaya, Goutam Das, James Berneburg, Manshi Limbu, and Sara Oughourli. His research is supported by funding from DCIST and involves collaborative projects with institutions such as Georgia Tech, University of Pennsylvania, and UC Santa Barbara. He actively recruits motivated students for research in robotics, control, and game theory. He leads the Collaborative Robotics, Autonomy, and Dynamics Lab at George Mason University, where his team develops autonomous blimps and quadrotors for competitive and research purposes, including participation in the DTR autonomous blimp competition. The lab emphasizes both theoretical advances and practical implementations in robotics.

Jeff Grayمشاهده پروفایل

استاد

• Software Engineering
• Model-Driven Development
• Domain-Specific Languages
• +۷ مورد دیگر

Jeff Gray is a University Distinguished Professor in the Department of Computer Science at the University of Alabama, where he also directs the Randall Research Scholars Program. He holds a Ph.D. in Computer Science from Vanderbilt University and has built a distinguished career in software engineering, model-driven development, and computing education. Education: Ph.D. in Computer Science, Vanderbilt University, 2002 M.S. in Computer Science, West Virginia University, 1993 B.S. in Computer Science (summa cum laude), West Virginia University, 1991 Dr. Gray's research focuses on model-driven software development, domain-specific languages, blocks-based programming environments, and computer science education outreach. His work bridges theoretical software engineering with practical applications in K–12 education and accessibility. He has developed tools like Spherly, Pixly, and Tunely to make programming more accessible. His research interests include software modeling, tool integration, debugging techniques, and inclusive programming environments. His recent publications reflect a strong trend in computing education, particularly in blocks-based programming, unit testing for beginners, and accessible language design. He has also contributed significantly to model-driven engineering and domain-specific language research. Scientific Awards: NSF CAREER Award Professor of the Year (Alabama, 2008) – Carnegie Foundation McMahon-Pleiad Prize (2025) Morris L. Mayer Premier Award Distinguished Member of the ACM IEEE Computer Society Distinguished Contributor (Inaugural Class) Dr. Gray has advised numerous doctoral students and has served as Editor-in-Chief of Software and Systems Modeling (Springer). He has secured over $24 million in external funding as PI or co-PI from agencies including NSF, Department of Education, and Google. He is actively involved in national initiatives such as the AP CS Principles course and Alabama’s Computer Science Advisory Council. He leads outreach programs including the Alabama Summer Computer Camps, Alabama Robotics Competition, and Code.org workshops. He also co-chairs the Development Committee for the College Board's AP CS Principles course and serves on Alabama Governor Kay Ivey’s Computer Science Advisory Council.

• Control Systems
• Data-Driven Modeling
• Distributed Systems
• +۷ مورد دیگر

Dr. Lala Rajaoarisoa is an Assistant Professor at IMT Nord Europe (formerly Institut Mines-Télécom Lille Douai), where he conducts research in control systems and data-driven modeling for large-scale distributed systems. His work bridges automatic control theory with practical applications in energy efficiency and hydraulic system management. His research interests focus on developing data-driven tools for observation and control of complex systems, including the analysis of fundamental system properties such as stability, observability, identifiability, and controllability. He develops predictive models and controllers aimed at assessing system behavior and optimizing performance, particularly in building systems and hydraulic networks. With over 80 publications in refereed journals and conferences, Dr. Rajaoarisoa's scholarly output reflects sustained contributions to the fields of control engineering and system optimization. His recent work is associated with research projects such as ALPAGA and CASTREAU, indicating active engagement in cutting-edge technological challenges involving autonomous and resilient systems. Although specific awards or grants are not listed in the provided text, his involvement in multiple research initiatives suggests ongoing funding and collaborative activity. He also participates in academic events and seminars, contributing to the broader scientific community in robotics and intelligent systems. Dr. Rajaoarisoa is affiliated with research teams working on multi-robot systems and resilient cyber-physical systems, as evidenced by his connection to the Robot-IA events and projects like ALPAGA. These affiliations highlight his integration into dynamic, interdisciplinary research environments focused on future technologies.

Laurent Clavierمشاهده پروفایل

استاد

• Digital Communications
• Wireless Networks
• Internet of Things (IoT)
• +۷ مورد دیگر

Laurent Clavier is a Professor at IMT Lille Douai (now IMT Nord Europe), affiliated with the Institut Mines-Télécom and conducting research within the CNRS laboratories IEMN (UMR 8520) and IRCICA (USR 3380). His work centers on digital communications and the physical layer of wireless networks for IoT applications, especially in energy-autonomous and ultra-dense environments. His research focuses on interference modeling in wireless networks, particularly under non-Gaussian and heavy-tailed conditions such as those found in IoT scenarios. He investigates the impact of interference in LoRa-like and SCMA-based networks, with a strong emphasis on statistical modeling, channel access mechanisms, and capacity analysis under α-stable noise. The recent publications highlight a consistent trend in analyzing and modeling real-world interference in low-power, large-scale wireless systems. Key themes include LoRa network optimization, unsupervised signal detection, multiuser access, and theoretical limits in non-Gaussian channels—indicating a deep integration of information theory, signal processing, and practical IoT deployment challenges. Scientific Awards: No scientific awards mentioned in the provided text. Laurent Clavier is actively involved in research projects such as ALPAGA and CASTREAU, contributing to advancements in resilient communication systems and drone-based technologies. While no formal list of advisees is provided, his HDR degree and professorial status suggest supervision of doctoral candidates. He has contributed to book chapters and high-impact journals, reflecting sustained research productivity. He is associated with research teams focusing on multi-robot systems and disaster-resilient communication frameworks, as evidenced by his participation in the Robot-IA events and comments on resilient systems. His work bridges theoretical communication models with practical IoT implementations.

Marie Cahillaneمشاهده پروفایل

عضو هیئت علمی

• Applied Cognitive Psychology
• Human Factors for Defence
• Skill Acquisition and Retention
• +۷ مورد دیگر

Dr Marie Cahillane is a Reader in Applied Cognitive Psychology at Cranfield Defence and Security, Cranfield University, where she has held progressive academic roles since 2008, including Research Fellow, Lecturer, Senior Lecturer, and Reader. She leads the Applied Psychology Group and serves as Deputy Head of the Integrated Cyber, Cognition and Digital Systems Group. She is also Deputy Academic Lead for the CDS Doctoral Community and a member of the Cranfield University Research Ethics and Integrity Committee (CUREIC). Her research focuses on human cognition in defence contexts, particularly skill acquisition and retention, cognitive vulnerabilities, disinformation, and team performance. Funded by Dstl, MOD, US DoD, and DASA, her work addresses real-world challenges in military and security operations. The recent publication trends highlight her expertise in cognitive psychology applied to autonomous systems, disinformation, e-learning, and military training. Her work bridges cognitive science with defence technology, focusing on human factors in AI, skill decay models, and metacognitive support in complex decision-making. She frequently collaborates with researchers like Victoria Smy and Piers MacLean. Dr Cahillane supervises PhD and MSc research, including topics on complex cognitive skills retention and disinformation in CBRN contexts. She has led 17 research projects as Principal Investigator and contributed to 15 as Co-Investigator, with funding from major defence stakeholders. She contributes to research-led teaching in quantitative methods, heuristics and bias, and psychological aspects of sensing. She also works closely with defence clients such as Dstl, BAE Systems, and the British Army to apply cognitive psychology to operational challenges.

Hossein Rastgoftarمشاهده پروفایل

استادیار

• Swarm Robotics
• System Autonomy
• Human-Robotic Interaction
• +۷ مورد دیگر

Hossein Rastgoftar is an Assistant Professor in the Department of Aerospace and Mechanical Engineering and the Department of Electrical and Computer Engineering at the University of Arizona, College of Engineering. He is also a member of the Graduate Faculty, contributing to interdisciplinary research and education in autonomy, robotics, and intelligent systems. Education: PhD in Mechanical Engineering, Drexel University, Philadelphia, PA MS in Mechanical Engineering, University of Central Florida, Orlando, FL (Mechanical Systems and Solid Mechanics) BS in Mechanical Engineering - Thermo-Fluids Rastgoftar's research focuses on swarm robotics, system autonomy, human-robotic interaction, UAS traffic management, and intelligent transportation systems . He develops physics-inspired models such as continuum deformation and fluid flow navigation for multi-agent coordination, with applications in urban air mobility, disaster response, and traffic congestion control. His work emphasizes safety, resilience, and formal verification in autonomous systems. His recent publications (2023–2025) reveal a strong trend in safety-critical planning for human-UAS collaboration, decentralized swarm control, and formal methods for traffic and airspace management . He frequently integrates machine learning, optimal control, and multi-agent coordination to solve real-world challenges in urban environments and emergency response. Scientific Awards: No awards listed in the provided text. Rastgoftar has advised students and leads a research group focused on autonomy and multi-agent systems. He teaches AME 455: Control System Design and has been involved in projects related to UAV coordination, payload transport, and traffic modeling. His lab work includes experimental validation of continuum deformation and swarm coordination algorithms using quadcopter teams. Labs and Research Teams: His research involves experimental evaluation of multi-agent systems, particularly quadcopter teams, using fluid flow and continuum deformation models. He collaborates with researchers at the University of Michigan and Villanova, and his work often bridges aerospace, mechanical, and electrical engineering disciplines.

• Machine Learning
• Computer Vision
• Robotics
• +۵ مورد دیگر

Roberto Javier López Sastre is an Associate Professor of Signal Theory and Communications at the University of Alcalá. He holds a Ph.D. from the same institution (2010), focusing on 'Visual vocabularies for category-level object recognition' under Dr. Saturnino Maldonado Bascón's supervision. His research spans machine learning, computer vision, robotics, and astrophysics. Key areas include Bayesian neural networks for stellar dating, semantic navigation in robotics, and AI-driven medical assistive technologies. Affiliation: Department of Signal Theory and Communications, University of Alcalá Research Group: GRAM (Multisensorial Recognition and Analysis Group) His work interfaces computational methods with real-world applications, such as assistive robotics for neurodevelopmental disorder patients and deep learning models for astrophysical parameter estimation. Recent contributions include semantic segmentation-driven navigation systems and Bayesian approaches to black hole solutions. Publications emphasize interdisciplinary applications of AI, including live video processing, continual learning frameworks, and physics-informed neural networks. Ongoing research explores the intersection of robotics, healthcare, and astrophysics through collaborative projects. López Sastre's GRAM group focuses on multisensory data analysis for recognition and navigation challenges. His technical expertise spans signal processing, probabilistic modeling, and embedded AI systems.

Arndt Hildebrandtمشاهده پروفایل

استاد

• Civil Engineering
• Offshore Engineering
• Hydraulic Engineering
• +۳ مورد دیگر

Prof. Arndt Hildebrandt is a faculty member at Leibniz University Hannover, affiliated with the Ludwig-Franzius-Institute within the Faculty of Civil Engineering and Geodesy. His research focuses on offshore engineering, hydraulic engineering, and structural dynamics, with a strong emphasis on wave-structure interactions, scour development, and renewable energy systems. He leads projects on offshore wind turbine foundations, wave energy converters, and environmental impact assessments. His work integrates experimental and numerical methods, often collaborating with industry partners like Cawthron Institute and Fraunhofer IWES. Key areas of research include hydrodynamic coefficients of marine structures, floating aquaculture systems, and probabilistic safety assessments for offshore megastructures. Projects such as 'BioSchWelle' explore ecological solutions for wave damping and biodiversity enhancement. He has extensive experience in coastal and hydraulic engineering, including studies on munitions drift in marine environments and scour patterns around offshore foundations. Prof. Hildebrandt contributes to collaborative initiatives like the DFG-funded SFB 1463, which develops integrated design methods for offshore megastructures. His publications span over two decades, addressing topics from wave energy converters to large-scale experimental modeling. Despite no listed awards, his contributions to offshore and environmental engineering are significant, with ongoing work on floating wind turbine operations and metocean data analysis in the German Bight.