جست‌وجوی استاد و پژوهشگر

• Human-Machine Interaction
• Usability Testing
• User Experience (UX)
• +۵ مورد دیگر

Jürgen Sauer is a Full Professor at the University of Fribourg , affiliated with the Department of Psychology under the Faculty of Letters and Human Sciences . With over 120 publications, his research focuses on Human-Machine Interaction , Usability Testing , User Experience (UX) , and Automation Design , particularly in high-stakes environments like X-ray baggage screening and spaceflight simulations . Email: juergen.sauer@unifr.ch Phone: +41 26 300 7622 Address: RM 01 bu. C-1.117, Rue PA de Faucigny 2, 1700 Fribourg Orcid: 0000-0003-2105-1694 His research projects, funded by the Swiss National Science Foundation (FNS), include: Improving work design for airport security officers (2019-2024): Developed pictorial scales for measuring psychological constructs in security environments. Social stress and support in hybrid teams (2018-2023): Investigated machine-induced social stressors and mitigation through social support. Automation in visual inspection tasks (2014-2018): Examined adaptable automation for baggage screening and system reliability effects. Usability testing effectiveness (2012-2016): Analyzed cultural background impacts and non-usability product features influencing test outcomes. Key contributions include the Luggage Inspection Simulation (LIS) environment for modeling work environments and the development of pictorial usability scales for multilingual applicability. His work bridges ergonomics , human factors , and applied psychology , with notable collaborations with researchers like Adrian Schwaninger and Andreas Sonderegger . His recent publications (2025-2014) analyze: Human-machine performance under false alarms and miscues Social stressor dynamics in hybrid teams Usability scale animation effects Phubbing behavior in professional contexts Accessible website design for non-disabled users

Jim Tørresenمشاهده پروفایل

استاد

• Artificial Intelligence
• Robotics
• Biology-Inspired Computing
• +۶ مورد دیگر

Jim Tørresen is a Professor of Computer Science at the Department of Informatics, University of Oslo, where he has been employed since 1999 (Associate Professor 1999-2005, Professor since 2006). He serves as group leader for the Robotics and Intelligent Systems (ROBIN) research group and is also a Principal Investigator at the Centre for Interdisciplinary Studies in Rhythm, Time and Motion (RITMO). His academic career includes visiting positions at Cornell University's Creative Machines Lab (2010-2011) and Kyoto University in Japan (1993-1994). His educational background includes a Dr.ing. (Ph.D.) in Computer Architecture from the Norwegian University of Science and Technology (1996) and an M.Sc. in Computer Architecture from the same institution (1991). Before his academic career, he worked in industry at Navia Aviation (1998-1999) and NERA Telecommunications (1996-1998). Tørresen's research spans artificial intelligence, robotics, and bio-inspired computing. His work focuses on biology-inspired algorithms, programmable logic (FPGA), robotics (simulation, prototyping, control), and human-robot interaction. He has made significant contributions to areas including evolutionary computing, reconfigurable hardware, and adaptive systems. His research often bridges theoretical computer science with practical applications in healthcare, music, and industrial settings. His recent publications demonstrate a strong focus on human-robot interaction, particularly in healthcare contexts for elderly care, as well as applications in sports science, musical robotics, and geological engineering. His work shows a consistent pattern of interdisciplinary research that combines machine learning techniques with domain-specific challenges. Tørresen has also authored a popular science book on artificial intelligence in the "what is" series by Universitetsforlaget, which discusses fundamental concepts, methods, future perspectives, and ethical aspects of AI. He has been active in academic leadership, serving as General Chair for the 22nd International Conference on Field Programmable Logic and Applications (FPL) in 2012 and the 9th Joint IEEE International Conference of Developmental Learning and Epigenetic Robotics in 2019. As group leader of ROBIN, he oversees research on intelligent systems that operate in dynamic environments requiring runtime adaptation. The group works at both fundamental and applied levels, using evolutionary algorithms for robot learning and machine learning techniques for classification and recognition tasks in various application domains.

Ryo Ikeshiroمشاهده پروفایل

استادیار

• Sound Art
• Sonification
• Computational Creativity
• +۳ مورد دیگر

Ryo Ikeshiro is an Assistant Professor at the School of Creative Media, City University of Hong Kong, and co-director of the spatial audio art/research unit SoundLab. His work bridges sound art, computational creativity, and cultural studies through immersive installations, algorithmic audio-visual systems, and sonification techniques. PhD in Creative Practice (Goldsmiths, University of London) MPhil in Music (University of Cambridge) BMus (King's College London) Ikeshiro's research interrogates the materiality of sound through: Multichannel Ambisonics and directional audio Neural network-driven temporal dislocation Sonification of climate data and historical soundscapes Machine learning for artistic interpretation Interplay of identity and technology East Asian ideophonic traditions His 2010-2024 publications and installations reveal cross-disciplinary engagement with: Fractal mathematics in audiovisual art Algorithmic composition systems Interactive installation technologies Sonic cartography Historical memory in sound Collaborative research frameworks SoundLab, which he co-directs, develops spatial audio research at the intersection of: Technical innovation Cultural representation Experimental pedagogy Public engagement International artistic exchange Practice-based research

Bradley Hayesمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Robotics
• Human-Robot Interaction
• +۵ مورد دیگر

Bradley Hayes is an Associate Professor in the Department of Computer Science at the University of Colorado Boulder, affiliated with the College of Engineering and Applied Science. He leads the Collaborative AI and Robotics (CAIRO) Lab, focusing on creating autonomous robots that collaborate effectively with humans through advances in explainable AI, machine learning, and human-robot interaction. His prior research includes foundational work at MIT's Interactive Robotics Group and Yale's Social Robotics Lab. Research interests span Explainable AI, Learning from Demonstration, Hierarchical Reinforcement Learning, Computer Vision, Natural Language Processing, and Cognitive Science. His work emphasizes making human-robot teams more efficient and safe through innovations like emotionally expressive robotic motion, socially aware navigation, and AR-based collaboration tools. Key contributions include techniques for robust robotic exploration, generative occupancy mapping, and systems for improving human trust through predictable robot behavior. His work has been applied to teleoperation training, surgical assistance, and space exploration scenarios. Grants and partnerships support development of assistive robotic canes and AR interfaces for collaborative tasks. Lab activities emphasize translating theoretical advancements into practical systems through close collaboration between researchers, engineers, and end-users. Education efforts include developing foundational robotics curricula addressing autonomy, perception, and control systems.

• Developmental Psychology
• Autism Spectrum Disorders
• Technology in Education
• +۵ مورد دیگر

Prof Nicola Yuill is a Professor of Developmental Psychology at the University of Sussex's School of Psychology. She leads the Autism Community Research Network Sussex (ACoRNS) and the Children & Technology Lab. Her research focuses on neurodiversity, particularly autism, emphasizing collaborative technologies and stakeholder co-creation of support tools. She explores digital storytelling, social interaction analysis, and inclusive design for neurodivergent populations. Yuill has secured grants from ESRC, NIH, and other bodies to investigate topics like online therapy efficacy, playground design for social play, and technology for communication. She trains Video Interaction Guidance practitioners and serves as a primary school governor. Her work bridges psychology and technology, aiming to empower autistic individuals through innovative methodologies. Key projects include the 'Digital Stories' initiative and evaluations of tablet interfaces for collaborative learning. Yuill's research highlights the importance of stakeholder partnership, with outputs featured on the National College for Research Methods and in guidelines for online therapy. Advising and grants: Yuill supervises UG/PG students and PhD candidates in children's social interaction and technology. She has led over 15 grants, including ESRC-funded studies on autism and EPSRC projects on collaborative learning interfaces. Her labs collaborate across disciplines, integrating informatics, linguistics, and education. Labs/teams: ACoRNS (focusing on autistic communities) and the Children & Technology Lab (designing inclusive tech solutions).

Rudie P.J. Kunnenمشاهده پروفایل

دانشیار

• Turbulent Flow
• Multiphase Flow
• Heat Transfer
• +۷ مورد دیگر

Rudie P.J. Kunnen is an Associate Professor at the Faculty of Applied Physics and Science Education , Eindhoven University of Technology, leading the Turbulent and Multiphase Flows group. His research focuses on heat, mass, and particulate transport in turbulent flows, with applications in geophysics and industry. Active in UN Sustainable Development Goals related to environmental protection Collaborator in projects like Active Contamination Control for Equipment and SubstrateS Research Interests : Turbulent flow dynamics, rotating convection, vortex structures, thermophoresis, plasma-liquid interactions, and geostrophic turbulence. His work combines experimental and numerical approaches (e.g., direct numerical simulation, particle image velocimetry). Scientific Awards : NWO Vici Prize (2024) Advising and Collaborations : Supervised multiple BSc and MSc theses at TU/e. Collaborates with researchers like F. Toschi and H.J.H. Clercx on turbulence projects.

Bill Buxtonمشاهده پروفایل

استاد مدعو

• Human-Computer Interaction (HCI)
• Design Thinking
• User Experience (UX) Design
• +۳ مورد دیگر

William (Bill) Buxton, OC, is a renowned designer, researcher, and advocate for human-centered innovation. Currently an Adjunct Professor at the University of Toronto's Department of Computer Science, he previously held roles including Partner Researcher at Microsoft Research (2005-2022), Chief Scientist at Alias|Wavefront/SGI, and faculty at the Ontario College of Art and Design. His work bridges art, design, and technology, emphasizing the social and cultural impact of interactive systems. Education: B.Mus. (Queen's University, 1973), M.Sc. Computer Science (University of Toronto, 1978) Research focuses on human-computer interaction (HCI), design thinking, and the history of innovation. He pioneered concepts like 'sketching in hardware' and contributed to foundational work on multitouch interfaces and natural user interaction. Recent talks include keynotes on ethics in technology, ubiquitous computing, and design philosophy. His writings (e.g., Sketching User Experiences ) and collections (e.g., The Buxton Collection of interactive devices) highlight his commitment to documenting design history. Honors include ACM SIGCHI Lifetime Achievement Award, Fellow of ACM, and Officer of the Order of Canada. Active in academia and industry, he advises on innovation policy and serves on design and technology boards.

• Disability Health
• Digital Health Technologies
• Visual Impairment Research
• +۵ مورد دیگر

Soyoung Choi is an Assistant Professor in the Department of Kinesiology and Community Health at the University of Illinois. She holds affiliations with the Carl R. Woese Institute for Genomic Biology and the Beckman Institute for Advanced Science and Technology. Her research focuses on improving healthcare accessibility for individuals with visual impairments through digital health technologies, physical activity interventions, and inclusive design strategies. Key research areas include mHealth accessibility for blind users, sleep health in visually impaired populations, and participatory design of health interventions. She employs both quantitative and qualitative methods, including scoping reviews and participatory action research. Her work addresses disparities in health technology access and promotes equitable health outcomes for disabled individuals. Choi collaborates across disciplines to advance understanding of disability health, digital health adoption barriers, and aging with visual impairments. Her research has been published in journals such as Adapted Physical Activity Quarterly , Journal of American College Health , and JMIR Formative Research .

• Journalism
• Communication Technology
• Social Media
• +۳ مورد دیگر

Yee Man (Margaret) Ng is an Associate Professor in Journalism and the Institute of Communications Research at the University of Illinois. She combines data science methodologies with communication research to study social media dynamics, digital journalism, and technology adoption patterns. Her research interests include: Computational social science Social media analytics Data visualization techniques Communication technology impacts Journalism innovation Post-adoption technology behavior Ng's methodology integrates big data analysis, machine learning algorithms, and traditional survey/experimental approaches. Current work extends diffusion of innovations theory by examining social media users' discontinuance and readoption behaviors. Academic contributions span both empirical research and educational practice. She has taught courses like: JOUR 460 - Data Storytelling JOUR 410 - Data Storytelling for Journalism JOUR 425 - Multimedia Editing and Design JOUR 199 - Hands-on Media Technology Her publications analyze topics ranging from YouTube's recommendation algorithms to digital sustainability in news media, with particular focus on: Platform migration patterns Algorithmic content moderation Political communication dynamics Media technology adoption Regional web usage differences Incivility measurement techniques

Jasmin Niessمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Reflective Technology
• Personal Informatics
• +۲ مورد دیگر

Jasmin Niess is an Associate Professor in the Design of Information Systems group at the University of Oslo. Her research explores how interactive technologies can support reflection, emotional awareness, and self-regulation. Research develops frameworks and tools for reflective technologies, examining how personal data visualizations can foster self-compassion and emotional awareness. Current projects investigate perception of AI systems and metrics for measuring reflective thought in technology interactions. Recent publications propose scales for assessing reflection and rumination in technology use, design principles for self-compassionate visualizations, and studies on user perceptions of conversational agents. Contributes to research groups on Designing Technologies for Democracy and Design of Information Systems.

Rémy Jacquemondمشاهده پروفایل

پژوهشگر

• Redox Flow Batteries
• Membrane Technology
• Materials Science
• +۳ مورد دیگر

Rémy Jacquemond is a Postdoctoral Researcher at Eindhoven University of Technology's Department of Chemical Engineering and Chemistry, working within both the Membrane Materials and Processes Group and Electrochemical Materials and Systems Group. His research focuses on developing advanced materials for next-generation redox flow batteries, with particular emphasis on membrane technology and electrode engineering. His academic background includes: BSc in General Chemical Sciences from Institut Universitaire de Technologie (IUT), Montpellier, France MSc in Chemical Engineering with materials science specialization from Ecole Nationale Superieure de Chimie de Montpellier (ENSCM), France Second MSc in Nanoscience, Materials and Processes from Universitat Rovira I Virgili (URV), Tarragona, Spain PhD in Chemical Engineering and Chemistry from Eindhoven University of Technology (2023) His research centers on solving critical challenges in redox flow battery technology, particularly the development of ion exchange membranes stable in organic solvents and engineered porous electrodes. He pioneers the application of neutron radiography for in-situ diagnostics of battery operation and employs non-solvent induced phase separation techniques for precise electrode microstructure control. His work directly contributes to UN Sustainable Development Goals related to clean energy and responsible consumption. Analysis of his publication record reveals a strong trajectory in advanced battery diagnostics and materials engineering, with increasing focus on neutron-based visualization techniques and microstructure-controlled electrode fabrication. His 2024 Nature Communications paper on concentration distribution mapping represents a methodological breakthrough, while his consistent development of phase separation techniques for electrode engineering demonstrates systematic innovation in manufacturing approaches. He has received significant recognition for his contributions: Energy Technology Division Graduate Student Award sponsored by Bio-Logic for work on porous carbon electrodes As an active postdoctoral researcher, Jacquemond contributes to research supervision and project leadership within his groups. His current work focuses on membrane diagnostics and novel porous materials development, with emphasis on improving battery efficiency, longevity, and compatibility with organic electrolytes. He maintains strong industry and academic collaborations, evidenced by multiple co-authored publications with international research teams. He operates within Eindhoven University of Technology's cutting-edge research infrastructure, utilizing specialized facilities for membrane synthesis, electrode fabrication, and advanced characterization including neutron imaging capabilities through partnerships with major research facilities. His work bridges fundamental materials science with practical energy storage applications.

• Nanotechnology
• Microfluidics
• Biosensors
• +۶ مورد دیگر

Sushanta Mitra is a Professor in the Department of Mechanical and Mechatronics Engineering and the Executive Director of the Waterloo Institute of Nanotechnology at the University of Waterloo. He holds cross-appointments in multiple research groups and leads the Micro-Nano Scale Transport Lab. His research focuses on nanotechnology, microfluidics, biosensors, and fluid dynamics, with applications in energy systems, biomedical engineering, and soft matter physics. Key research interests include liquid-liquid encapsulation, droplet dynamics, and advanced material characterization. His work spans interdisciplinary areas such as graphene physics, catalysis for fuel cells, and sensor development for medical diagnostics. He has pioneered techniques like magnetic manipulation of hydrogels and multilayer liquid encapsulation, with applications in drug delivery and environmental monitoring. Recent publications highlight innovations in biosensing platforms, including SERS-based systems for tuberculosis and glioma detection. His studies on soft interfaces, droplet adhesion, and magnetic actuation contribute to advancements in soft robotics and biomedical devices. Mitra’s lab emphasizes practical applications of nanotechnology to address global challenges in health, energy, and sustainability. No scientific awards are explicitly mentioned in the provided texts. His advising and grants involve collaborations in interdisciplinary projects, though specific details on grants or student advisement are not documented here. The Micro-Nano Scale Transport Lab serves as a hub for cutting-edge research in nanoscale transport phenomena and material science.

Maia Jacobsمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Health Technology Design
• Behavioral Science
• +۳ مورد دیگر

Maia Jacobs is an Assistant Professor of Computer Science and Preventive Medicine at Northwestern University. Her research focuses on human-centered computing to design health technologies that adapt to longitudinal health needs. She holds a Ph.D. in Human-Centered Computing from Georgia Institute of Technology and a B.S. in Industrial and Systems Engineering from the University of Wisconsin-Madison. Her work emphasizes user-centered design principles to create equitable and adaptive health interventions. Key research areas include wearable health tools, voice assistants for mental health, telehealth cancer care, and AI integration in healthcare workflows. She collaborates with low-income communities and informal caregivers to ensure technologies address real-world healthcare challenges. Recent publications explore AI-physician collaboration in oncology, burnout support for frontline workers, and ethical design of voice-assisted mental health services. Her projects often involve co-design with marginalized groups to promote health equity. Jacobs’ interdisciplinary approach bridges computer science, behavioral science, and clinical practice to advance personalized healthcare solutions.

• Polymer Chemistry
• Self-Assembly
• Drug Delivery
• +۳ مورد دیگر

Paul Joshua Hurst is a Postdoctoral Scholar in the Department of Chemistry at Stanford University, affiliated with the School of Humanities and Sciences. His research focuses on advanced polymer chemistry, self-assembly mechanisms, and their biomedical applications. He explores topics such as drug delivery systems, nanomedicines, and cryo-electron microscopy for material characterization. His work integrates interdisciplinary approaches, combining organic synthesis, materials science, and biophysics. Key areas of investigation include the design of bioreducible polymers for mRNA delivery, chemically driven hydrogel systems, and the structural analysis of enzyme@metal-organic frameworks using cryo-EM. He is affiliated with the CMAD, ChEM-H, and SSRL research programs. Recent research trends show a focus on reaction-driven self-assembly, sustainable polymer synthesis, and dynamic materials with tunable properties. His studies emphasize both fundamental mechanisms and translational applications in drug delivery and nanotechnology. No scientific awards have been listed in the provided information. While no student advisees are mentioned, his research contributions span over 15 peer-reviewed articles from 2020 to 2025, reflecting a strong publication trajectory in top-tier journals. His work is supported through collaborations with Stanford’s affiliated programs.

• Internet of Things (IoT)
• Cybersecurity
• Sensor Networks
• +۳ مورد دیگر

Shiwei Fang is an Assistant Professor in the Department of Computer & Cyber Sciences within the School of Computer and Cyber Sciences at the University of North Georgia. He holds a Ph.D. in Computer Science from the University of North Carolina (2021) and a B.E. in Computer Science from the State University of New York (2015). His research focuses on IoT systems, cybersecurity, sensor networks, and edge computing, with notable contributions to multimodal analytics, privacy visualization tools, and geospatial tracking datasets. He advises the Graduate Student Organization and serves on the SCCS Academic Web Oversight Committee. Education: Ph.D., Computer Science, University of North Carolina, 2021 B.E., Computer Science, State University of New York, 2015 Research interests include IoT security, context-aware systems, and sensor fusion. His work on IoBT-MAX and GDTM datasets highlights expertise in experimentation frameworks and geospatial tracking. Recent publications explore privacy risks in IoT, AR-based privacy visualization, and efficient inference models for edge computing. He has contributed to over 25 peer-reviewed articles since 2015, with a focus on real-world IoT applications and hardware-software co-design. Service roles include faculty advising and committee participation. He teaches courses like CSCI 3170/5170 on Computer Organization, bridging theoretical computer science with practical hardware concepts.