جست‌وجوی استاد و پژوهشگر

Diana Saplacan Lindblomمشاهده پروفایل

پژوهشگر

• Human-Robot Interaction
• Universal Design
• Ethics in AI
• +۶ مورد دیگر

Diana Saplacan Lindblom is a Researcher at the University of Oslo's Department of Informatics, Faculty of Mathematics and Natural Sciences. She is a member of the Robotics and Intelligent Systems Research Group (ROBIN) and actively contributes to the Vulnerability in Robot Society (VIROS) research project (2021-present) and the Ethical Risk Assessment of Artificial Intelligence in Practice (ENACT) project (2023-present). Dr. Saplacan received her Ph.D. from the University of Oslo in 2020 with a thesis titled "Situated abilities: Understanding Everyday Use of ICTs" from the Design of Information Systems (DESIGN) Research Group. During Spring 2023, she was a visiting researcher at the Human-Robot Interaction Lab, Department of Social Informatics, Kyoto University, Japan, and a guest researcher at Tohoku University's Frontier Research Institute for Interdisciplinary Sciences. Her research focuses on user studies in Human-Robot Interaction (HRI) and Human-Robot cooperation, with particular emphasis on digitalization of home- and healthcare services, robots as welfare technologies, and ethics regarded through Universal Design principles. She investigates privacy, safety, and security aspects related to robots in healthcare settings, bridging legal and technical considerations. Her work often employs qualitative methods including story dialogue techniques to understand user perspectives and professional reactions to emerging technologies. Analysis of her recent publications reveals a strong interdisciplinary approach connecting computer science, social sciences, and healthcare. Her work spans technical aspects of robotics, ethical considerations in AI implementation, and practical user studies across diverse populations including elderly care recipients and healthcare professionals. She frequently examines how Universal Design principles can be applied to social and assistive robots to ensure accessibility and inclusion. Dr. Saplacan has received notable recognition including an Honorable Mention at HRI (2024) and being named among "Women changing the field of AI in Norway" (2021, 2022). She has also earned Best Paper Awards at ACHI-IARIA (2018, 2020) and a Best Paper Finalist Award at ARSO (2021). HRI Honorable Mention (2024) Women changing the field of AI in Norway (2021, 2022) Best Paper Finalist Award - ARSO (2021) Best Paper Award, ACHI - IARIA (2020) Best Paper Award, ACHI - IARIA (2018) Dr. Saplacan has served as co-supervisor for Ph.D. candidates Adel Baselizadeh (completed 2024) and Marieke van Otterdijk (defense scheduled for December 2024). Her research is supported through collaborations with multiple academic partners including SINTEF, HIOF, and NTNU, as well as industry partners such as DNB, Posten, NAV, Medsensio, and Hypatia Learning. She actively contributes to standardization efforts as a member of Standards Norway Committee on AI & Ethics (WG3) and the IEEE Artificial Intelligence Standards Committee. She is a key contributor to the ROBIN research group's work on healthcare robotics and leads efforts in the UD-Robots project, which examines how universal design principles can be applied to robotics. Her work with the Norwegian Council for Digital Ethics and participation in international workshops demonstrates her commitment to shaping ethical frameworks for emerging technologies.

• Serious Games
• Simulation-Based Training
• Human-Computer Interaction
• +۳ مورد دیگر

Mikael Johannesson is a Senior Lecturer in Computer Science at the School of Informatics, University of Skövde. He specializes in the development and evaluation of serious games and simulation-based training systems for emergency response, healthcare, and traffic safety. Current research focuses on contextualization in healthcare simulation, cyclist detection algorithms, and immersive training environments. He co-developed the Elinor console for stroke rehabilitation and the SAREK simulation system for prehospital care. His work integrates mixed reality, perceptual cue analysis, and team collaboration dynamics in crisis scenarios. Recent publications analyze cyclist intention detection, home-based rehabilitation technology, and immersive role-playing environments for medical training. The 15 most recent articles (2010-2021) demonstrate expertise in simulation design, human-computer interaction, and traffic safety research. He serves as Course Coordinator for advanced-level (Master's) courses in computer science at the University of Skövde.

Annika Fredénمشاهده پروفایل

دانشیار

• Political Behavior
• Artificial Intelligence
• Experimental Methods
• +۴ مورد دیگر

Annika Fredén is an Associate Professor at the Department of Political Science, Lund University , specializing in political behavior , artificial intelligence applications in social sciences, and experimental methods . She leads a major AI-focused research project funded by the Wallenberg Foundation (WASP-HS) until 2026 in collaboration with Chalmers University of Technology. Research areas: Quantitative analysis of elections, strategic voting, bureaucratic decision-making, and AI-driven political text analysis Teaching: Supervision, methodology training, and political behavior Key collaborations: Chalmers University of Technology, Swedish political institutions Her recent work explores AI's role in political science, voter psychology during crises like the pandemic, and electoral system dynamics. Funding from the Marianne and Marcus Wallenberg Foundation supports her interdisciplinary AI research. She actively participates in public debates and academic seminars on these topics. Projects include developing AI tools to analyze Swedish parliamentary motions, investigate strategic voting patterns, and assess bureaucratic efficiency. She has published extensively in journals like Political Studies , Frontiers in Political Science , and Electoral Studies , focusing on voter decision-making, party cues, and institutional design.

• Human-Computer Interaction
• Computer Supported Cooperative Work (CSCW)
• Ubiquitous Computing
• +۳ مورد دیگر

Tony Tang is a tenured Associate Professor at the School of Computing and Information Systems , Singapore Management University , leading the RICELab (Rethinking Interaction, Collaboration and Engagement). His research spans Human-Computer Interaction (HCI), Computer Supported Cooperative Work (CSCW), and Ubiquitous Computing. Previously affiliated with the Faculty of Information at the University of Toronto and the Department of Computer Science at the University of Calgary , he has built a career focusing on technologies that enhance human-AI interaction, mixed-reality collaboration, and immersive analytics. Education : PhD in Electrical and Computer Engineering (2010, University of British Columbia), MSc in Computer Science (2005, University of Calgary), BSc in Computer Science and Psychology (2002, Simon Fraser University) His research explores human-AI interaction (user intent expression, AI feedback), mixed reality interfaces for collaborative learning, and digital workrooms with large interactive surfaces. Recent work focuses on embodied AI agents, VR gesture design, and neurodiverse engagement in digital spaces. Key trends in his publications include immersive analytics , haptic feedback systems , and inclusive design for marginalized user groups. His work bridges theoretical insights from HCI with practical implementations in virtual and augmented environments. Grants & Funding : Current: SMU-SUTD Tier 1 Grant (S$100,000), NAVER ($1,250,000 over 5 years), Meta gift ($30,000) Past: SSHRC Partnership Engage Grant, NSERC Discovery Grant, GRAND NCE funding, MITACS Accelerate Program Scientific Awards : NSERC Post-Doctoral Fellow (2011) Eyes High Doctoral Recruitment Award (University of Calgary, 2010) Teaching & Supervision : Supervised 3 postdoctoral fellows, 26 graduate students, and 35 undergraduate students. Served as PhD Director at the University of Toronto. Developed frameworks for graduate student competencies and research proposal writing. Service & Leadership : General Co-chair for CSCW 2022 , Associate Editor for International Journal on Human-Computer Studies and HCI Journal . Held administrative roles including Associate Dean, Research at the University of Toronto (2020-2022). Labs & Teams : Leads the RICELab , which investigates novel interaction paradigms for collaboration and engagement. Collaborated on projects involving drones, 360 video systems, and haptic proxies.

Stephen Montgomery-Smithمشاهده پروفایل

استاد

• Fluid Mechanics
• Functional Analysis
• Harmonic Analysis
• +۲ مورد دیگر

Stephen Montgomery-Smith is a Professor in the Department of Mathematics at the University of Missouri. His research spans fluid mechanics, functional analysis, numerical methods, and probability theory. He develops mathematical models for complex physical systems, including fiber suspensions in fluids, robotic kinematics using dual quaternions, and stochastic processes in biological contexts like the Luria-Delbrück experiment. His work combines theoretical rigor with practical applications in engineering and science. Recent publications feature innovations in motion simulation filters, instability analysis of non-Newtonian fluids, and dual quaternion applications in robotics. He tackles challenging problems such as the Navier-Stokes existence conjecture, employing diverse approaches from spectral analysis to computational algebra. His interdisciplinary collaborations extend to battery technology and materials science.

Scott A. Kuhlمشاهده پروفایل

دانشیار

• Computer Graphics
• Virtual Reality
• Immersive Virtual Environments
• +۳ مورد دیگر

Scott A. Kuhl is an Associate Professor of Computer Science at Michigan Technological University, with an affiliated appointment as an Associate Professor in Psychology and Human Factors. He holds a PhD in Computer Science from the University of Utah (2009) and undergraduate degrees in Computer Science and Mathematics from Augsburg University. His research focuses on computer graphics, immersive virtual environments, head-mounted displays (HMDs), and human spatial perception, with an emphasis on improving VR technologies for practical applications. He leads the Husky Game Development Enterprise (HGD), where students create games for business, education, and entertainment, releasing titles on platforms like itch.io. He advises on curriculum development for robotics and automation education, emphasizing open-source tools and industry collaboration. His work is supported by grants such as the NSF-funded Immersive Visualization Studio (CNS-1229297). Dr. Kuhl’s labs include the Immersive Visualization Studio (50-megapixel display with Vicon tracking) and the Virtual Environment Lab (WorldViz PPT tracking, NVIS nVisor ST HMD). He has received awards including the Best Full Paper at VRST 2009 and the Best ATMAE Conference Proceedings Paper in 2016. His research spans human perception in VR, HMD design, and interdisciplinary education. Grants and collaborations include partnerships with industry and academic institutions to enhance robotics education and VR technology. He mentors students in game development, virtual reality research, and perceptual studies, fostering a dynamic research and educational environment at Michigan Tech.

Donald Glowinskiمشاهده پروفایل

مدرس ارشد

• Music and Emotions
• Group Creativity
• Neuropsychology
• +۶ مورد دیگر

Donald Glowinski is a Senior Lecturer and Senior Researcher at the Swiss Center for Affective Sciences (University of Geneva), where he coordinates the Music & Science team and leads a consortium investigating the cognitive and emotional impact of DEMOS orchestras on children. His work bridges neuropsychology, music performance, and applied research to enhance team coordination and resilience in professional settings. He holds an MSc in Cognitive Science (EHESS), Music and Acoustics (CNSMDP), and Philosophy (Sorbonne-Paris IV), with a PhD in Computing Engineering from the University of Genoa. His research focuses on music’s role in emotions, group creativity, and translational science, including developing immersive virtual environments and curricula for interdisciplinary training. He is also involved in public engagement through initiatives like culturehack.art and collaborations with festivals such as Montreux Jazz and NIFFF. Key research interests include the interplay between music, emotion, and social dynamics. He explores how music ensemble performances can model adaptive teamwork, leveraging technologies like virtual reality to simulate real-world scenarios. His projects emphasize practical applications, such as improving safety training for workers and fostering resilience in high-pressure environments. Awards include the Prix pour la Vocation (Bleustein-Blanchet Foundation) and the Declic Award (Fondation de France). He actively contributes to scientific dissemination through public talks and cultural partnerships, advocating for science that directly informs tangible, accessible tools for diverse communities. His advisory roles include coordinating the Music & Science team and leading the DEMOS consortium with the Philharmonie de Paris. He also spearheads a new psychology curriculum using high-fidelity simulations, reflecting his commitment to bridging academic and applied domains.

Rainer Herpersمشاهده پروفایل

استاد

• Computer Vision
• Face and Gesture Recognition
• Computer Graphics
• +۷ مورد دیگر

Prof. Dr. Rainer Herpers is a full Professor at the Department of Computer Science within the Graduate Institute at Hochschule Bonn-Rhein-Sieg University of Applied Sciences . He serves as Scientific Director of the Graduate Institute and Director of the Institute of Visual Computing (IVC), leading interdisciplinary projects that bridge Computer Vision , Human Perception , and Real-Time Systems . His research explores gravitational effects on spatial orientation, serious games for medical training, and FPGA-based computer vision solutions. Research Interests: Computer Vision and Machine Vision Face and Gesture Recognition Artificial Neural Networks Robotics and Real-Time Systems Medical Informatics Usability in Work Safety Article Trends: Recent work focuses on gravity perception (2023-2024), neural network applications in environmental monitoring, and machine learning for network traffic analysis. Collaborations with York University and DLR highlight his interdisciplinary approach. Scientific Awards: Best Paper Award, IBM Centre for Advanced Studies in Computer Science (2020) Labs: Leads the Computer Vision Lab (C065) and Immersive Visualization Lab (C061) , developing systems like the FIVIS Bicycle Simulator and SimuBridge platform for education and safety evaluation.

Manu Madhavمشاهده پروفایل

استادیار

• Neural Circuits
• Spatial Navigation
• Memory Systems
• +۴ مورد دیگر

Manu Madhav is Assistant Professor at the School of Biomedical Engineering, University of British Columbia, and Tier 2 Canada Research Chair in Neural Circuits of Cognition and Control. His research investigates neural circuit mechanisms underlying spatial navigation and memory through rodent electrophysiology and human virtual reality experiments. Research focuses on neural computation of spatial representations, virtual reality paradigms for behavior analysis, neural manifold geometry, and translational applications for Alzheimer's detection. The lab develops novel experimental systems including the Dome VR apparatus for freely locomoting rodents and non-invasive field tracking methods. Recent publications examine path integration recalibration, neural coding strategies, and geometric representations in hippocampal circuits. Field research advances include techniques for tracking electric fish in natural habitats. Tier 2 Canada Research Chair in Neural Circuits of Cognition and Control Leads the Neural Circuits of Cognition and Control Laboratory developing neuroengineering approaches to map cognition. Research combines electrophysiology, virtual reality, computational modeling, and field biology to understand neural algorithms.

Sabrina Caldwellمشاهده پروفایل

مدرس ارشد

• Human centred computing
• human-AI teaming
• digital image authentication
• +۶ مورد دیگر

Sabrina Caldwell serves as a Senior Lecturer and Researcher at The Australian National University's School of Computing. As Co-chair of JPEG Trust within the ISO/IEC JTC 1/SC 29/WG 1 working group, she has led the development of international standard ISO/IEC 21617-1 for media trustworthiness assessment, scheduled for publication in October 2024. Her work bridges academic research with global standardization efforts in digital media security. Her research interests focus on two interconnected domains: digital image authentication (particularly distinguishing authentic photographs from AI-manipulated content) and physiological signal processing using neural networks. Within human-AI teaming, she investigates deception detection through multimodal analysis of nonverbal behavior and develops frameworks for assessing the credibility of visual media in the age of generative AI. Her fingerprint reveals strong concentrations in neural networks (100%), physiological signal processing (85%), and affective computing (30%). Analysis of her 29 research outputs shows increasing emphasis on multimodal deception detection and media trustworthiness standards since 2020. Her work demonstrates consistent collaboration with international researchers like Temmermans, Bhowmik, and Kyburz, with notable projects including MEC23: Advanced Biometrics and C2 Sociotechnical Experimentation. The publications reveal a strategic shift toward practical standardization frameworks after 2022, coinciding with her JPEG Trust leadership role. Caldwell holds active research supervision registration and leads projects including the 2023-2026 Australian government travel grant for international standards participation and the 2024 Human-machine aesthetics seed grant. Her projects consistently address real-world applications of computing for social good, particularly in media trust and human-centered biometrics.

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

Dr. Anil Bas is a Research Fellow at Bournemouth University's Centre for Applied Creative Technologies (CfACTs), supported by the Marie Skłodowska-Curie Actions Postdoctoral Fellowship. His work bridges computer vision, graphics, and machine learning, with a focus on photorealistic 3D scene representations, digital avatars, and AI-driven creative projects. Prior to this, he served as an Assistant Professor and Deputy Head of Department at Marmara University, Istanbul. He holds a PhD in Computer Science from the University of York (2018), funded by the Turkish Higher Education Council. His research explores novel view synthesis, neural rendering, and generative AI applications in creative fields such as poetry and drama. Notable projects include Silwerwit in die soontoe , an AI-generated Afrikaans poetry book, and studies on AI's role in post-anthropocene performance art. He also investigates technical challenges in face reconstruction, vehicle routing optimization, and maker education. Dr. Bas has contributed to over 20 peer-reviewed publications since 2013, spanning journals like International Journal of Computer Vision and conferences such as ECAI. His work frequently addresses interdisciplinary topics, blending computational methods with cultural and creative applications. He is actively involved in grant-funded projects and maintains strong ties to industry through collaborative research. Awards: Marie Skłodowska-Curie Actions Postdoctoral Fellowship (202X). External affiliations include roles as an ORCID researcher and social media presence across LinkedIn, Twitter (@dranilbas), and a personal website.

Laura Kloepperمشاهده پروفایل

دانشیار

• Animal Acoustics
• Animal Behavior
• Ecology
• +۴ مورد دیگر

Laura Kloepper is an Associate Professor in the Department of Biological Sciences at the University of New Hampshire (UNH), part of the College of Life Sciences and Agriculture. Her research focuses on animal acoustics, particularly bat echolocation, and its ecological applications. She leads the Ecological Acoustics and Behavior Lab, which develops technologies like drones and thermal tracking to study animal behavior and population dynamics. Education: Ph.D. in Zoology/Animal Biology from the University of Hawaii Manoa. She teaches courses including BIOL 412: Introductory Biology , BIOL 827: Animal Communication , and Acoustic Ecology . Research interests include sensorimotor adaptations in echolocating bats, collective behavior in flying groups, and passive acoustic methods for wildlife conservation. Current projects involve predator-prey interactions between hawks and bats, algorithms for analyzing bat call recordings, and population censusing of frogs, seabirds, and Antarctic penguins using acoustic approaches. Her work is supported by grants from the National Science Foundation and the U.S. Fish and Wildlife Service. Collaborations include Oxford University, University of Notre Dame, and Brown University.

• Medical Entomology
• Neuroethology
• Biomechanics
• +۴ مورد دیگر

Antoine Cribellier is a Researcher in the Department of Experimental Zoology at Wageningen University & Research , focusing on the biomechanics and neuroethology of mosquito flight behavior. His work bridges entomology, neuroscience, and computational biology to understand vector-host interactions. Primary affiliation: Wageningen University & Research Secondary collaboration: Institut de Recherche en Sciences de la Santé (IRSS) His research explores: Mosquito escape responses to human and environmental threats 3D flight kinematics using machine learning tools like DeepLabCut Sensory integration in swarming behavior Microclimate and land-use impacts on vector adaptation Recent publications highlight his expertise in mosquito aerodynamics and smart trapping technologies . Notable awards include the SEB Robert McNeill Alexander Prize 2022 for outstanding contributions. As co-promotor, he advises PhD candidates studying: van den Bogaard, A. (Microclimate selection by mosquitoes) Pinda, P. (Vector adaptation to climate change)

Giacomo Spiglerمشاهده پروفایل

استادیار

• Deep Learning
• Deep Reinforcement Learning
• Meta-Learning
• +۶ مورد دیگر

Dr. Giacomo Spigler is a Tenured Assistant Professor at Tilburg University's Department of Cognitive Science and Artificial Intelligence (TSHD). He co-directs the AI for Robotics Lab (AIR-Lab) and the MindLabs Robotics & Avatars Lab. His research focuses on deep reinforcement learning for robotics, meta-learning, and evolutionary robotics, with applications in human-robot interaction and autonomous systems. Education: Ph.D. in Computational Neuroscience, University of Sheffield (2018) M.Sc. Cognitive Science (Computational Neuroscience), University of Edinburgh (2014) B.Sc. Computer Engineering, Sant’Anna School of Advanced Studies and University of Pisa (2012) Research Interests: Spigler explores artificial general intelligence, continual learning, and biohybrid systems. He develops algorithms for robotics that bridge simulation and real-world deployment, emphasizing embodied cognition and intuitive engineering principles. Key Projects: Co-PI of the STEADFAST project (Swarm Technology for Military/First Responder Operations) Developed the Tilburg Hand robot platform for reinforcement learning research Teaching: Courses include Deep Reinforcement Learning (MSc), Calculus (BSc), and Elements of Machine Learning (BSc AI Minor), with a focus on hands-on robotics applications.

Andreas Kunzمشاهده پروفایل

مدرس

• Virtual Reality
• Mixed Reality
• Human-Computer Interaction
• +۶ مورد دیگر

Andreas Kunz is a Lecturer at the Department of Mechanical and Process Engineering, ETH Zurich, where he leads the Innovation Center for Virtual Reality (ICVR). His research focuses on developing user-oriented virtual and mixed reality systems tailored for industrial applications across product development processes and digital factories. Current Affiliation: ETH Zurich, Institute for Machine Tools Research Themes: Virtual Reality, Mixed Reality, Human-Computer Interaction, Digital Twin Systems Since joining ETH Zurich in 1994 and completing his habilitation in 2004 on "Interaction with the digital product model in virtual space," Kunz has pioneered VR systems for visualization, collaboration, and haptic interfaces in industrial contexts. His work combines academic research with practical implementation through industry collaborations. Recent research trends show increasing focus on real-world VR applications including: Multiuser redirected walking algorithms Attention guidance systems Industrial MTM motion transcription Smartphone-MR device integration Eye tracking for cognitive analysis Haptic interfaces for control panels The ICVR group under Kunz's leadership maintains strong industry partnerships while producing significant publications in IEEE VR, ISMAR, and ACM VRST conferences. Their work bridges theoretical VR research with practical implementations in manufacturing, assembly, and safety-critical environments.