جست‌وجوی استاد و پژوهشگر

Antonella De Angeliمشاهده پروفایل

استاد

• Human-Computer Interaction
• Participatory Design
• Social Innovation
• +۳ مورد دیگر

Antonella De Angeli is a full professor of Human-Computer Interaction at the Free University of Bozen-Bolzano's Faculty of Engineering. She holds a PhD in Experimental Psychology from the University of Trieste, followed by post-doctoral research and industrial experience at NCR Ltd. Her academic career includes roles at the University of Manchester, University of Trento (as Associate Professor), and the University of Lincoln (as Professor). She leads research in Human-Computer Interaction with a focus on participatory design, social innovation, and technology's role in civic engagement. Her research emphasizes human-centric design principles rooted in Renaissance educational ideals, advocating for technology as a tool for democratic activism. Notable projects include the H2020-funded PieNews and Acanto initiatives, as well as collaborations with cultural institutions like Teatro Stabile Bolzano. She teaches courses in HCI, user research, and scientific communication at undergraduate and graduate levels. Dr. De Angeli's work spans interdisciplinary areas including AI ethics, aging technologies, and creative collaborations with generative AI. She actively bridges academic research with societal impact through projects addressing stereotypes, digital literacy, and participatory urban design. Her recent publications explore robot abuse, emotion-aware interfaces, and algorithmic critique through a steampunk lens.

• Human-Technology Interaction
• Industrial Automation
• Industrial Ergonomics
• +۴ مورد دیگر

Dr Iveta Eimontaite is a Lecturer in Human Factors and Cognitive Psychology at Cranfield University , affiliated with the Centre for Robotics and Assembly. Her work focuses on behavioral and cognitive aspects of Human-Technology Interaction (HTI), particularly in industrial contexts involving collaborative robots, exoskeletons, and augmented reality systems. Education: MSc in Cognitive Neuroscience (University of York, UK), PhD in Cognitive Psychology (Hull University, UK) Prior Positions: Research roles at Bristol Robotics Laboratory and Sheffield Robotics Her research explores psychological safety factors, operator acceptance of robotics, and emotion-driven decision-making in manufacturing environments. She employs mixed methods including physiological measures and behavioral experiments. Recent publications address Human-Robot Collaboration (2024), Industry 5.0 co-creation (2024), and AI-based positioning systems (2024), alongside earlier work on augmented reality interfaces (2022) and emotion effects in risk perception (2017). Current involvement in the H2020 SHERLOCK project emphasizes safe human-robot integration in manufacturing.

Mert Albabaمشاهده پروفایل

پژوهشگر

• Deep Reinforcement Learning
• Computer Vision
• Natural Language Processing
• +۳ مورد دیگر

Mert Albaba is a joint PhD student at ETH Zurich and the Max Planck Institute for Intelligent Systems (Tübingen), advised by Prof. Andreas Krause, Prof. Otmar Hilliges, and Prof. Michael Black. His research focuses on deep reinforcement learning, computer vision, and language models to model human behavior through generative approaches. He explores integrating vision-language models into imitation learning pipelines to enhance their generative capabilities. Affiliations: Max Planck Institute for Intelligent Systems (Primary), ETH Zurich Advisors: Andreas Krause, Otmar Hilliges, Michael Black Research Interests: Reinforcement learning and game theory for human behavior modeling Generative models for behavior representation Imitation learning with vision-language integration Key Projects: Development of frameworks like GT-DQN (RL + game theory) and SyNet (object detection for UAVs). Active contributor in repositories related to reinforcement learning, vision, and generative models on GitHub.

Cynthia Matuszekمشاهده پروفایل

استادیار

• Robotics
• Machine Learning
• Human-Robot Interaction
• +۵ مورد دیگر

Cynthia Matuszek is an Assistant Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). She directs UMBC’s Interactive Robotics and Language lab, focusing on enabling robots to learn from human interaction using natural language. Her research spans robotics, machine learning, human-robot interaction (HRI), and natural language processing (NLP). Notably, she was recognized in IEEE's 2018 '10 to Watch in AI' list. Dr. Matuszek holds a Ph.D. and M.S. in Computer Science & Engineering from the University of Washington (2014, 2010) and a B.S. in Computer Science from the University of Texas at Austin (2000). Her work bridges theoretical and applied domains, addressing challenges in grounded language learning, multimodal data fusion, and ethical AI deployment. Her recent publications emphasize cybersecurity (e.g., malware detection using compact features), neurosymbolic reasoning, and the integration of large language models into robotics. The lab’s work often explores VR-based human-robot collaboration scenarios, leveraging photogrammetry and simulation for reproducible studies. Key thematic trends in her articles include: Advancing grounded language learning through cross-modal alignment and interactive labeling Developing ethical AI systems capable of moral reasoning and command rejection Pioneering domain-specific cybersecurity solutions using tensor factorization and vector stores Expanding multilingual and multimodal capabilities for robots in unstructured environments Her research also addresses societal impacts, including studies on gender stereotypes in AI datasets and privacy implications of pervasive robotics. The lab’s work often intersects with NSF-funded initiatives, such as the CAREER award for inclusive robotic learning environments.

Jessica Barfieldمشاهده پروفایل

استادیار

• Human-Robot Interaction
• Artificial Intelligence Ethics
• Diversity in Technology
• +۳ مورد دیگر

Jessica Barfield is an Assistant Professor at the School of Information Science, University of Kentucky. Her work focuses on ethics in human-robot interaction (HRI), diversity in technology design, and the social implications of artificial intelligence. She investigates how robots' attributes like voice, appearance, and cultural identity influence user trust, bias, and societal impacts. Her research emphasizes inclusive design principles to address racial, ethnic, and gender biases in AI systems. Key areas include self-disclosure dynamics between humans and robots, voice assistant diversity, and ethical frameworks for mitigating harm in HRI. Recent studies explore topics such as robot colorization effects, voice switching in digital assistants, and the categorization of robots in social contexts. These projects aim to create equitable and transparent technologies that align with DEI goals.

• Human-Computer Interaction
• Gesture Recognition
• Child-Computer Interaction
• +۵ مورد دیگر

Lisa Anthony is a Professor affiliated with the University of Florida, specializing in Human-Computer Interaction (HCI) with a strong focus on gesture recognition, touchscreen interfaces, and child-computer interaction. Her research emphasizes the design of user-centered technologies for diverse populations, including children, older adults, and individuals with disabilities. Key contributions include studies on children's touchscreen interaction patterns, multimodal authentication systems, and mHealth applications for behavior change. Her work spans over two decades, with publications in top-tier venues such as CHI, ICMI, and IEEE Transactions. Notable projects include the MTAGIC initiative exploring child motion characteristics, the design of MyTrack+ for weight management, and studies on spherical interfaces. She collaborates extensively with researchers in computer science, education, and healthcare to address real-world challenges in technology accessibility and usability. Lisa's research has implications for improving educational tools, healthcare apps, and collaborative learning environments. While no grants or awards are explicitly listed, her prolific publication record underscores her sustained contributions to HCI and related fields.

Ekkart Kindlerمشاهده پروفایل

دانشیار

• Model-Based Software Engineering
• Process Mining
• Petri Nets
• +۴ مورد دیگر

Ekkart Kindler is an Associate Professor in the Department of Applied Mathematics and Computer Science at DTU Compute, Technical University of Denmark. His research focuses on model-based software engineering, process mining, and road condition assessment using vehicle sensor data. He leads the Competence Centre for Model-Based Software Engineering, supporting industry adoption of advanced software development methodologies. Education: M.Sc. (1990), Ph.D. (1995) from Technische Universität München; Habilitation in Computer Science (2001) from Humboldt-Universität zu Berlin. He held visiting professorships at German universities (2000–2007) and has extensive experience in formal methods, business process modeling, and Petri nets. Research interests include declarative process modeling, complexity metrics for cognitive load assessment, and the integration of formal methods into industrial software development. His work contributes to UN Sustainable Development Goals related to sustainable infrastructure (SDG 9) and innovation (SDG 9). Notable collaborations include road condition assessment projects using vehicle sensor data (LiRA-CD dataset) and contributions to Petri net standards (PNML). He has supervised PhD students such as K. I. Simonsen (protocol software) and A. Skar (road assessment). Grants and projects: Live Road Assessment with Vehicle Sensors (2019–2022), Model Transformation Tools (2013–2016), and waste management modeling (2012–2016). Active in open-source datasets and tool development for indoor climate control (climify.org).

George Caridakisمشاهده پروفایل

دانشیار

• Cultural Informatics
• Digital Culture
• HCI
• +۴ مورد دیگر

Associate Professor George Caridakis holds a faculty position at the Department of Cultural Technology and Communication, University of the Aegean, where he founded the Intelligent Interaction Research Group (ii.aegean.gr). He also serves as an Adjunct Professor at Athena Research Center (Athena RC) and a Senior Researcher at the National Technical University of Athens' Intelligent Systems, Content and Interaction Laboratory. His research spans Cultural Informatics, AI-driven Interaction, IoT, Mixed Reality, and Semantic Web technologies, with over 75 publications and an h-index of 20. Caridakis has led or contributed to over 20 European/National projects, focusing on cultural heritage preservation, digital twin technologies, and AI applications in education and tourism. He actively supervises graduate theses and teaches at both undergraduate and postgraduate levels. His work emphasizes participatory methods, context-aware systems, and cross-disciplinary collaboration in cultural spaces. Education details are not explicitly provided in the text, but his academic trajectory is evident through his roles and projects. Research interests include affective computing, embodied interaction, and heritage digitization. His methodologies often integrate semantic technologies and IoT to solve challenges in cultural preservation and visitor experience optimization. Recent work explores large language models (LLMs) for museum recommendations and robotics in education. Publications reflect a strong focus on cultural heritage management (e.g., digital twins, crowdsourcing, AR), user-centric design (recommender systems, sentiment analysis), and smart systems (IoT in heritage spaces). His projects like CAnTi and CHEKG demonstrate innovation in collaborative methodologies and modular knowledge graphs. Caridakis has served as a journal/conference reviewer and evaluator for funding bodies, contributing to the advancement of interdisciplinary research standards. He leads the OpenLab for Cultural Heritage Conservation, integrating VR/AR for site preservation. Collaborations span academia and industry, emphasizing applied research with practical societal impact. Current initiatives include advancing accessibility through regional digital infrastructures and enhancing citizen engagement via participatory frameworks.

• Cybersecurity
• Deep Learning
• Blockchain
• +۷ مورد دیگر

Yuansong (John) Qiao is a Research Fellow at the Software Research Institute (SRI), Technological University of the Shannon: Midlands Midwest. His work spans cybersecurity, blockchain, and reinforcement learning, contributing to technologies like decentralized edge environments, intrusion detection systems, and immersive 360° video analytics. He supervises PhD students and actively explores applications in robotics, digital twins, and IoT. Recent publications highlight his focus on multi-view deep learning for anomaly detection , blockchain integration with AI , and ROS-based reinforcement learning . These works address challenges in cyber threat identification, decentralized finance, and smart manufacturing. His methodological innovations include knowledge graphs for security analytics and spatial audio analysis for VR environments. Qiao’s research aligns with UN Sustainable Development Goals, particularly in Quality Education (through supervised student projects) and Industry Innovation (via tools like Containerchain and UniROS). His collaborations span cybersecurity frameworks, decentralized robotics, and privacy-preserving systems for smart cities.

• Robot Cooperation
• Human-Robot Interaction (HRI)
• Intelligent Systems
• +۳ مورد دیگر

Anaís Garrell Zulueta is an Associate Professor at the Polytechnic University of Catalonia (UPC) and a Robotics Researcher at the Robotics Institute (CSIC-UPC) . She serves as Vice-Director of the Mobile Robotics and Intelligent Systems subline. Education: B.S. in Mathematics (2006) from University of Barcelona (UB) under its excellence program Diploma d'Estudis Avançats (DEA) in Control, Vision, and Robotics (2007) from UPC European Doctorate (2013) from IRI, UPC/CSIC with Excellent Cum Laude honors Research Interests: Her work focuses on robot cooperation , human-robot interaction , people motion behavior , and robot companions . Current projects include TORNADO (foundation models for robots handling deformable objects), HandIA (AI-based hand rehabilitation), and LENA (lifelong navigation learning). Older work includes social-force models for urban navigation and human-assisted learning frameworks. Scientific Contributions: Second prize for best Spanish robotics thesis (2013) Key publications in IEEE Robotics and Automation Letters , ACM/IEEE HRI , and Springer book chapters Advising: Supervising three Ph.D. students: Ferran Gebelli Guinjoan , Lavinia Beatrice Hriscu Acsinte-Staut , and Edison Jair Bejarano Sepulveda .

Tommaso Polonelliمشاهده پروفایل

مدرس

• Embedded systems
• IoT
• Wireless Sensor Networks
• +۷ مورد دیگر

Dr. Tommaso Polonelli is a Lecturer and Postdoctoral Researcher at ETH Zürich's Department of Information Technology and Electrical Engineering, affiliated with the Center for Project-Based Learning (PBL). He leads teaching initiatives and research in IoT systems, energy-efficient electronics, and autonomous technologies. His research focuses on energy-efficient systems, smart sensing, and ultra-low power computing, with applications in UAVs, wind turbine monitoring, and wearable devices. He also serves as a Scientific Advisor at RTDT Laboratories AG, an ETH spin-off. Polonelli holds a PhD (2020) and Master’s degree (2017) in Electronic Engineering from the University of Bologna. He has co-authored over 60 publications and received awards such as the Spark Award (2021), KITE Award finalist (2024), and the Certificate of Achievement for National Scientific Qualification (2023). He is an active IEEE member and contributes to both academia and industry through innovations in sensor technology and predictive maintenance. His work emphasizes interdisciplinary collaboration, with projects ranging from structural health monitoring to AI-enhanced systems. Recent efforts include Aerosense—a MEMS-based monitoring system for wind turbines—and ElectraSight, a smart eyewear platform with non-invasive eye tracking.

• Game Technology
• Human-Computer Interaction
• Augmented Reality
• +۲ مورد دیگر

Dr. Henning Metzmacher serves as a Lecturer at ETH Zürich's Department of Computer Science, affiliated with the Game Technology Center (GTC). His research spans game technology, augmented reality applications for education, and personalized thermal comfort systems. With expertise in human-computer interaction and control systems, he develops innovative solutions ranging from scent-enabled gaming interfaces to AI-driven climatization technologies. His research interests focus on immersive technologies for education and human-centered environmental systems. Recent work explores sensory enhancement in gaming through olfactory feedback systems and augmented reality tools for AI education. Additionally, he investigates personalized thermal management using advanced control algorithms, sensor fusion, and real-time monitoring techniques. Publications demonstrate consistent focus on human-centered technology applications. Early work centered on thermal comfort modeling and building energy systems. Recent publications show strong emphasis on game technologies, augmented reality interfaces, and advanced control systems for personalized environments. This progression reflects expanding research into interactive systems and human-technology interfaces.

• Human-Computer Interaction
• Artificial Intelligence
• Data Visualization
• +۴ مورد دیگر

Tracy Yuexi Chen is an Assistant Professor in the Department of Computer Science at the University of Maryland, College Park. Previously worked at Adobe Research as a research scientist and conducted postdoctoral work at Stanford University. Holds a PhD in Human-Centered Computing from Georgia Tech. Leads the Human-Data Interaction Research Group focused on AI-driven systems for data visualization and communication. Current research: Human-centered AI, example-driven visualization generation, data analysis planning Key applications: Medical imaging, collaborative writing, responsive document design Research combines empirical studies, theoretical frameworks, and interactive systems. Recent work spans visual analytics of event sequences, SVG chart analysis, and AI-assisted tutorial creation. Has received significant recognition including an NSF CAREER Award and DARPA STTR contracts. 2025 IEEE VIS paper on VisAnatomy 2024 CHI papers on collaborative writing and what-if analysis 2023 EuroVis papers on visualization evaluation Scientific awards include: NSF CAREER Award (2023) Honorable Mention at IEEE VIS 2024 Active in academic service as Associate Editor for IEEE Transactions on Visualization and Computer Graphics. Sponsors research through DARPA contracts and maintains international collaborations across Austria, Germany, and FL.

Ge Gaoمشاهده پروفایل

استادیار

• Computer-supported cooperative work (CSCW)
• Computer-mediated communication (CMC)
• Human-centered computing (HCC)
• +۶ مورد دیگر

Ge Gao is an Assistant Professor at the University of Maryland's College of Information (INFO College). Her research focuses on the intersection of technology use and diversity in teamwork, employing mixed methods to design tools that enhance team communication and collaboration across contexts. She is available to advise PhD students and can be reached at gegao@umd.edu or via phone at 301-405-9518 in Hornbake Building (South Wing), Room 2123-A. Education: PhD in Communication from Cornell University (2017) MS in Psychology from Peking University (2010) BS in Psychology from Peking University (2007) Research Interests: Ge Gao's work centers on computer-supported cooperative work (CSCW), computer-mediated communication (CMC), human-centered computing (HCC), and multilingual/intercultural communication. She investigates how technology bridges linguistic and cultural divides in collaborative environments. Article Trends: Her recent publications (2025-2011) reveal a consistent focus on human-AI interaction, virtual reality social dynamics, multilingual collaboration tools, and the ethical implications of technology in professional and healthcare settings. Projects like "NatSGLD" and "CheXplain" highlight her contributions to robotics and medical AI transparency.

Louis Nisiotisمشاهده پروفایل

استادیار

• eXtended Reality (VR/AR/MR)
• Intelligent Reality Systems
• Immersive Learning Technologies
• +۵ مورد دیگر

Dr. Louis Nisiotis is an Assistant Professor in Computing at the University of Central Lancashire Cyprus (UCLan Cyprus) , part of the School of Sciences . He serves as Deputy Course Leader for the BSc (Hons) Computing program and has held academic roles since 2014. His expertise spans eXtended Reality (XR) , Intelligent Reality Systems , and Immersive Learning Technologies , with a focus on their application in education, cultural heritage preservation, and human-robot interaction. Dr. Nisiotis holds a PhD in Computing (2015) and MSc in Information Technology (2010) from Sheffield Hallam University, alongside a BSc in Computer Information Systems (2009) from the University of Derby. He is a Fellow of the Higher Education Academy and active in professional organizations like IEEE, ACM, and the Immersive Learning Research Network (iLRN). His research explores Cyber-Physical-Social Systems , XR applications in museums, and AI-driven immersive learning environments . Notable projects include developing VR tools for cultural heritage digitization and evaluating immersive technologies' impact on education and engagement. He has secured grants like the RECOMMIT Erasmus+ (2022) and contributed to international conferences as a speaker and panelist. Teaching Roles: Course Leadership in Computing, delivering modules like Game Concepts, Computer Graphics, and Mathematics for Games. Grants: Principal Investigator for multiple teaching enhancement grants (2016–2020) and EU-funded projects (2022). Awards: Best Poster Award (2019), 3rd Place at IEEE ICIR (2021), and recognition for inspirational teaching. Outreach: Organizes the UCLanian’s Game Dev Showcase Day and advises the Rays and Vectors student game studio. His work bridges emerging technologies like AI, robots, and social networks to create innovative Intelligent Reality Systems that enhance cultural preservation, education, and societal interactions. Current projects aim to merge virtual and physical spaces for transformative digital ecosystems.