جست‌وجوی استاد و پژوهشگر

Mariusz Wzorekمشاهده پروفایل

استادیار

• Artificial Intelligence
• Robotics
• Autonomous Systems
• +۴ مورد دیگر

Mariusz Wzorek is an Assistant Professor and Head of Unit at the Department of Computer and Information Science (IDA) at Linköping University, Sweden. He is affiliated with the Artificial Intelligence and Integrated Computer Systems (AIICS) division, which focuses on advancing research and education in artificial intelligence, robotics, and collaborative systems. Dr. Wzorek holds a PhD from Linköping University (2023) and has expertise in autonomous systems, unmanned aerial vehicles (UAVs), and robotics. His research emphasizes safe navigation, collaborative robotics, and applications in emergency response and public safety scenarios. Key areas include UAV-based collision avoidance, geolocation using aerial imagery, and distributed systems for multi-agent coordination. His recent work involves developing systems like the RGS⊕ (RDF Graph Synchronization) for collaborative robotics, secure remote ID protocols for UAVs, and algorithms for autonomous search and rescue missions. These projects address challenges in sensor fusion, real-time decision-making, and robust communication in dynamic environments. Publications highlight contributions to UAV navigation, wireless mesh networks in emergencies, and 3D reconstruction using heterogeneous UAV teams. His research bridges theoretical foundations in AI with practical applications in robotics and safety-critical systems. While no specific scientific awards are listed, his active role in the AIICS division and numerous peer-reviewed publications reflect his significant contributions to the field.

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.

Meng Xiaمشاهده پروفایل

استادیار

• Human-AI Interaction
• Data Visualization
• Education Technology
• +۳ مورد دیگر

Meng Xia is an Assistant Professor in the Department of Computer Science & Engineering at Texas A&M University, leading the Dream Lab. Her research focuses on Human-AI Interaction, Data Visualization, and Education Technology, with a particular emphasis on creating adaptive learning systems using visual analytics, AR/VR, and NLP. She holds a PhD from the Hong Kong University of Science and Technology and has held postdoctoral positions at CMU and KAIST. Education: PhD in Computer Science & Engineering, HKUST (2020) M.S. in Computer Science & Technology, Zhejiang University (2017) B.S. in Computer Science, Hangzhou Dianzi University (2013) Her research explores designing human-centered systems to enhance personalized learning, including tools for educators, visual analytics for learning behaviors, and immersive technologies like AR/VR. Recent projects include developing conversational tutoring systems (e.g., Ruffle&Riley), visual analytics for student-ChatGPT interactions (StuGPTViz), and AR-based educational tools like Vistellar. Awards include the Best Paper Award at CHI 2022 and an Honorable Mention at IEEE VIS 2022. She serves as a Program Chair for Learning@Scale 2024 and a Youth Editor for Visual Informatics . Teaching includes courses on Data Visualization and Human-AI Interaction at Texas A&M. Her lab actively recruits students in HCI, visualization, and education technology.

Katherine Davisمشاهده پروفایل

دانشیار

• Cyber-Physical Systems
• Power Systems Operation and Control
• Smart Grid Security
• +۳ مورد دیگر

Katherine Davis is an Associate Professor in the Department of Electrical and Computer Engineering at Texas A&M University, part of the College of Engineering. Her research focuses on cyber-physical systems, power grid security, and resilient energy infrastructure. She holds a Ph.D., M.S., and B.S. in Electrical Engineering from the University of Illinois Urbana-Champaign and the University of Texas at Austin. Her work addresses challenges such as cyber-physical attack detection, smart grid resilience, and integration of renewable energy systems. Education: Ph.D., Electrical Engineering (Power and Energy Systems), University of Illinois Urbana-Champaign, 2011 M.S., Electrical Engineering (Power and Energy Systems), University of Illinois Urbana-Champaign, 2009 B.S., Electrical Engineering (High Honors), University of Texas at Austin, 2007 Research interests include: - Operation and control of power systems - Cyber-physical security and situational awareness - Data-driven analysis of coupled infrastructure - Interactions between computer and power networks - False data injection attack detection using machine learning Her recent publications emphasize scalable tools for cyber-physical systems, AI-driven grid optimization, and resilient energy management. Notable trends include leveraging graph neural networks for anomaly detection, blockchain for secure data exchange, and multi-agent frameworks for distributed energy resources. Dr. Davis’s work has been applied to real-world scenarios such as wildfire response optimization and geomagnetic disturbance analysis. She collaborates on interdisciplinary projects involving cybersecurity, power systems engineering, and environmental resilience.

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.

Rachid Houriziمشاهده پروفایل

استاد

• Human-Computer Interaction
• Collaborative Systems
• Situation Awareness
• +۱۲ مورد دیگر

Rachid Hourizi is a Professor and Director of the Institute of Coding (IoC) at the University of Bath, Department of Computer Science. He plays a leading role in national digital skills education and university-industry collaboration. He is affiliated with the Centre for Networks and Collective Behaviour and the Centre for Death and Society. His research interests span Human-Computer Interaction , collaborative systems , situation awareness , and autonomous systems , with applications in defence, emergency response, aviation, agriculture, and smart energy. He has led significant research projects funded by EPSRC, EU, and Innovate UK, focusing on information exchange, digital pedagogy, and energy efficiency. His recent publications highlight a strong trend in computing education, digital skills policy, and human factors in energy and autonomous systems. These works reflect interdisciplinary collaboration and real-world impact, particularly in workforce development and sustainable technology. Director, Institute of Coding (IoC), University of Bath Contributor to UN Sustainable Development Goals in energy and education Active in national digital skills initiatives and policy Rachid Hourizi has supervised academic work and collaborated on multiple funded research projects, including those with industrial and public sector partners. He has led efforts to certify Bath’s placement scheme and launch digital degree apprenticeships. While no specific grants are detailed beyond project titles, his role as PI and CoI on multiple large-scale projects indicates substantial grant leadership. He is involved in the Centre for Networks and Collective Behaviour and has contributed to projects integrating computing with social and environmental challenges.

• Virtual Reality (VR)
• Augmented Reality (AR)
• Mixed Reality (MR)
• +۵ مورد دیگر

Ekaterina Prasolova-Førland is a Professor at the Department of Pedagogy and Lifelong Learning, Faculty of Social and Educational Sciences, Norwegian University of Science and Technology (NTNU). She leads the Innovative Immersive Technologies for Learning (IMTEL) research group and IMTELlab, specializing in ICT and learning with virtual and augmented reality applications. Specialization in VR/AR/MR for education Director of IMTEL research group and lab Focus on medical training and military education Extensive publications in immersive learning Her research focuses on virtual reality , augmented reality , and immersive technologies for learning across multiple domains. Key areas include medical education , military training , and interprofessional collaboration through 3D virtual environments. Recent publications highlight her work in XR for clinical training , peer learning applications , and military education innovation . Her research group develops smart virtual hospitals and empathy-building simulations for complex educational scenarios.

Sean Sinclairمشاهده پروفایل

مدرس

• Healthcare Ethics
• Public Health Policy
• Professional Ethics
• +۴ مورد دیگر

Dr. Sean Sinclair is a Lecturer & Consultant in Applied Ethics at the IDEA Centre, University of Leeds. He combines academic research with external consulting for healthcare policy-makers and professional associations. PhD in Healthcare Ethics (University of Leeds) MSc in Philosophical Ethics (University of Edinburgh) Part-time BA in Philosophy (Birkbeck, University of London) Research Interests: Healthcare Ethics: Specializes in the ethics of healthcare allocation , public health policy , and professional ethics CPD . Critiques utilitarian dominance in policy through concepts like fair innings , rule of rescue , and disability equity . Public Debate Analysis: Develops extreme charity methodology to interpret public policy debates, exposing implicit values and improving stakeholder engagement. Professional Ethics: Focuses on ethics training for healthcare professionals, challenging current situational judgement tests and promoting dilemma-based CPD . Notable Contributions: 15+ peer-reviewed articles in Journal of Medical Ethics , Medicine, Health Care and Philosophy , and Value in Health , plus book reviews in Ethical Theory and Moral Practice . Scientific Awards: Cyril Joad Prize (Birkbeck) for academic excellence External Engagement: Combines academic work with consulting roles, emphasizing patient/public involvement in policy-making and equity-focused healthcare frameworks.

• distributed robot systems
• human-robot interaction
• multi-agent systems
• +۳ مورد دیگر

Yu Zhang serves as an Associate Professor in the Department of Computer Science and Engineering within the School of Computing and Augmented Intelligence at Arizona State University. His academic trajectory includes prior roles as a postdoctoral research scholar and research assistant professor at ASU, establishing him as a key contributor to robotics and artificial intelligence research. Education Ph.D. in Computer Science, University of Tennessee, Knoxville Research Focus Dr. Zhang's work centers on distributed robot systems, human-robot interaction, and multi-agent planning, with emphasis on human-aware decision-making frameworks. He develops explicable planning methodologies to enhance robot transparency and safety in collaborative environments, exploring implicit communication techniques like virtual shadows to maintain team situation awareness during tacit human-robot interaction. Publication Trends Analysis of his 15 most recent publications (2021-2025) reveals a dominant focus on explicable and safe planning for human-robot teams, constituting over 60% of his output. Key innovations include virtual shadow rendering for awareness projection, reward adaptation via Q-manipulation, and grounded language frameworks for robust coordination. His research consistently integrates multi-agent perspectives with human cognitive models to bridge robotic capabilities with human interpretability. Scientific Recognition No specific awards documented in available sources Mentorship and Teaching Dr. Zhang supervises doctoral and master's students through dissertation research (CSE 799) and thesis projects (CSE 599), teaching advanced courses including Artificial Intelligence (CSE 471/571) across 15+ semesters (2020-2025). His extensive graduate instruction portfolio demonstrates commitment to developing next-generation robotics researchers, though specific grant funding details remain unlisted. Research Environment Based at ASU's Tempe campus, Dr. Zhang contributes to the university's robotics ecosystem through investigations into human-aware planning and explicable autonomy. His work aligns with collaborative initiatives advancing multi-robot coordination and human-robot teaming for real-world applications.

• Operations Research
• Information Systems
• Economics
• +۱۲ مورد دیگر

Antonio Palmiro Volpentesta is an Associate Professor of Economics and Management Engineering at the University of Calabria, Department of Mechanical, Energy and Management Engineering. He serves as Vice-Director of the department and Director of GiudaLab, a research laboratory focused on information management engineering and agri-food sector innovation. With a career spanning over 35 years, he has contributed extensively to fields like virtual enterprises, knowledge management, and digital transformation. Mathematics, University of Pisa (1975) His research integrates Operations Research, Information Systems, and Management Engineering to address challenges in business modeling, digitalization, and sustainable rural development. Recent work explores food consumer behavior, revenue management in transport, and IoT applications for smart banking and mobility. GiudaLab and EBA laboratory initiatives highlight his commitment to translating research into practical solutions, including spin-offs like Platonet and Echopress. He has supervised over 200 theses and 4 PhD students, while directing numerous research projects funded by regional and European programs.

• Human Factors Engineering
• Automated Driving
• Driver State Modeling
• +۲ مورد دیگر

Jonas Radlmayr is a Researcher at the Department of Ergonomics, Technical University of Munich, where he has been actively contributing since 2014 under Prof. Klaus Bengler's Chair. His work focuses on human factors in automated driving systems, with emphasis on driver-state modeling and transition-of-control mechanisms. Education: Diplom-Ingenieur (Master's equivalent) in Mechanical Engineering, Technical University of Munich (2013), specializing in Control Engineering and Ergonomics Radlmayr's research investigates critical human-automation interaction challenges in conditionally automated driving (Level 3). His work examines how driver drowsiness, non-driving tasks, and system reliability impact take-over performance during transitions of vehicle control. He has pioneered methodological frameworks including the Take-Over Performance Score (TOPS) for quantifying driver readiness and developed integrative models for drowsiness progression in automated contexts. His experimental designs address real-world challenges in human-machine interface validation and driver monitoring system development. Analysis of his 15 most recent publications reveals consistent focus on driver availability metrics, human factors in cut-in scenarios, and mental model formation regarding automation levels. The research demonstrates strong interdisciplinary connections between cognitive psychology, transportation engineering, and physiological monitoring, with recurring themes in usability evaluation frameworks and safety-critical transition protocols. As an integral member of TUM's Ergonomics Chair, Radlmayr utilizes advanced research infrastructure including the Dynamical Mock-Up, Modular Ergonomic Mockup, and Static Driving Simulator. His collaborative work with industry partners addresses practical implementation challenges in automated vehicle design while advancing theoretical understanding of human-automation teaming in transportation systems.

Kenneth S. Cassidyمشاهده پروفایل

مدرس

• Human-Machine Interaction
• Cognitive Systems Engineering
• Resilient System Design
• +۲ مورد دیگر

Kenneth S. Cassidy is an instructor in the Department of Behavioral Sciences and Leadership at the United States Military Academy at West Point. A military officer with extensive operational experience, he holds a B.S. from Longwood University (2015), an MBA in Project Management from Liberty University (2019), and an M.S. in Industrial and Systems Engineering - Cognitive Systems Engineering from Ohio State University (2023). His military assignments include roles as Platoon Leader, Executive Officer, and Battalion S6 within the 3rd Armored Brigade Combat Team, 1st Cavalry Division, and 10th Special Forces Group (Airborne). Research Focus: Cassidy's work centers on Resilient human-machine performance strategies Cognitive systems engineering Team coordination under time pressure Adaptive distributed work systems Auditory situation awareness in protective environments Human-AI collaborative assessment Publications Highlight: Recent contributions examine generative AI evaluation methods, auditory perception challenges with hearing protection, and human-machine teaming frameworks. His research bridges military operations with cognitive engineering principles. Operational Background: Deployments to Kuwait (2017) and Afghanistan (2021) inform his practical insights into signal corps operations and special forces communication systems integration.

Henny Admoniمشاهده پروفایل

دانشیار

• Human-Robot Interaction
• Assistive Robotics
• Nonverbal Communication
• +۵ مورد دیگر

Henny Admoni is an Associate Professor in the Robotics Institute at Carnegie Mellon University (CMU), with a courtesy appointment in the Human-Computer Interaction Institute. She leads the Human And Robot Partners (HARP) Lab, focusing on assistive and collaborative robotics, particularly how robots can interpret human nonverbal cues like eye gaze to improve interactions. Her research spans healthcare, human-robot teamwork, and socially assistive robotics, supported by NSF, ONR, and industry partners. Admoni holds a PhD in Computer Science from Yale University and a BA/MA from Wesleyan University. Education PhD in Computer Science, Yale University BA/MA in Computer Science, Wesleyan University Research Interests Admoni’s work emphasizes human-centered robotics, including assistive systems for mobility-impaired users, driver situational awareness modeling, and fostering social support networks through AI. She investigates how robots can proactively learn from humans, adapt to team dynamics, and communicate transparently to build trust. Key themes include nonverbal communication, shared autonomy, and ethical design. Grants & Awards NSF CAREER Grant (2020) Okawa Research Grant (2021) A. Nico Habermann Career Development Professorship (CMU) Advising & Teaching Admoni advises graduate students on topics like robot learning, assistive systems, and human-robot teaming. She teaches courses on Human-Robot Interaction at both undergraduate and graduate levels, emphasizing interdisciplinary approaches that blend robotics, AI, and cognitive science. Labs & Projects The HARP Lab develops robots for meal preparation assistance, driving support, and socially assistive interventions. Current projects include the HARMONIC dataset for collaborative tasks and COHUMAIN for socio-cognitive architectures in human-machine teams. Admoni is on sabbatical at KTH University through 2025.

• Crisis Management
• Simulation-Gaming Exercises
• Critical Infrastructure Resilience
• +۵ مورد دیگر

Joeri Van Laere is a Professor of Informatics at the University of Skövde's School of Informatics. His research focuses on crisis management, simulation games, critical infrastructure resilience, and healthcare information systems. He has led multiple projects addressing payment system disruptions, self-service business intelligence challenges, and emergency response training. He coordinates courses in informatics and collaborates with municipalities and industries to develop practical solutions for real-world crises. Research Interests: Simulation-gaming for crisis training and resilience assessment Information systems development in healthcare and critical infrastructure User-centric design of self-service business intelligence tools Decision support systems leveraging distributed cognition Recent work emphasizes leveraging simulation games to bridge the gap between training and real-world crisis response. His articles highlight strategies for enhancing learning transfer through debriefing, mitigating cascading infrastructure failures, and improving situation monitoring systems. Ongoing projects include AI-driven healthcare prediction, drone protocols for crisis management, and GPS-based elderly safety systems.

• Cyber Security
• Software Engineering
• Cloud Computing
• +۴ مورد دیگر

Dr. Hussain Ahmad is an Assistant Professor (Lecturer) at the School of Computer and Mathematical Sciences, University of Adelaide, Australia. His research focuses on Cyber Security, Software Engineering, and Generative AI, with a particular emphasis on industry-driven innovation and real-world applications. He collaborates with prestigious institutions such as the Department of State Development South Australia, Defence Science and Technology Group Australia, and Cisco. Dr. Ahmad completed his PhD at the University of Adelaide, where he explored enhancing C2 network security, software vulnerability management, and scalable microservice architectures. He has led over 15 R&D projects, resulting in 12 peer-reviewed publications in top-tier venues like CORE A* and A-ranked conferences. His teaching philosophy integrates industry relevance, continuous feedback, and cutting-edge content, ensuring students gain practical skills aligned with modern IT demands. He advises students on research projects and maintains a strong focus on cloud-native systems, self-adaptive frameworks, and AI applications. Key contributions include frameworks like Smart HPA for resource-efficient auto-scaling and Co-Evolutionary Defence for Active Directory systems. His work bridges academia and industry, addressing challenges in cyber situational awareness, DevOps practices, and large-scale system resilience.