جست‌وجوی استاد و پژوهشگر

Yincheng Jinمشاهده پروفایل

استادیار

• Human-Computer Interaction (HCI)
• Smart Health
• Mobile Computing
• +۳ مورد دیگر

Yincheng Jin is an Assistant Professor at Binghamton University's School of Computing. He holds a PhD in Computer Science from the University at Buffalo (2023). His research focuses on the intersection of Human-Computer Interaction (HCI), mobile computing, and artificial intelligence, with an emphasis on health and well-being applications. His work includes developing wearable systems, machine learning algorithms, and mobile technologies for smart health monitoring and accessibility solutions like ASL recognition. Key research interests include: Wearable sensing technologies for health monitoring Gesture and emotion recognition systems Security systems based on biometric features Context-aware IoT applications Recent publications explore innovations such as earphone-based facial reconstruction, acoustic gesture interaction, and non-invasive respiratory monitoring. His work bridges hardware innovation with machine learning to create practical health and accessibility solutions. Notable contributions include: Developing VTMonitor for tidal volume estimation via earbuds Creating Signring for continuous ASL recognition Advancing acoustic-based authentication systems ( Earppg , VibPath ) Prior experience includes an internship at Samsung Research America’s Digital Health Department.

Jakob Eyvind Bardramمشاهده پروفایل

استاد

• Mobile Computing
• Pervasive & Ubiquitous Computing
• Software Engineering
• +۴ مورد دیگر

Jakob Eyvind Bardram is a Professor and Head of the Digital Health Section at the Department of Health Technology at the Technical University of Denmark (DTU). His research focuses on mobile, wearable, and ubiquitous computing technologies applied to healthcare, including mobile sensing, human-computer interaction, and software architecture. Key application areas span clinical logistics, mental health monitoring, and digital phenotyping. He has led major initiatives such as the iHospital project (context-aware hospital systems) and MONARCA (mobile health solutions for bipolar disorder), co-founding companies like Monsenso and Cetrea. His work integrates technical innovation with clinical impact, supported by collaborations with hospitals and industry. Education: MSc and PhD in Computer Science Professional Affiliations: ACM, IEEE, Danish Academy of Technical Sciences (ATV) Editorial Roles: ACM PACM IMWUT, ACM Transactions on Computing for Healthcare Research emphasizes real-world deployment of health technologies, with contributions to cardiovascular risk assessment, behavioral activation systems, and frameworks like CARP Mobile Sensing. Awards include the 2012 Informatics Europe Curriculum Award for pervasive computing education.

• Automatic Speech Recognition
• Conversational User Interfaces
• Human-Computer Interaction
• +۶ مورد دیگر

Prof. Hans-Peter Hutter is a Professor of Computer Science at the ZHAW School of Engineering, specializing in Deep Learning-based Automatic Speech Recognition, Conversational User Interfaces, and Human-Centered Computing. He leads the Human-Centered Computing research group at InIT/ZHAW and has held this position since 2005. His work focuses on accessibility technologies, mobile usability, and inclusive design for visually impaired users. Education: Dr. sc. techn. ETH in Computer Engineering (ETH Zurich, 1996) Dipl. El.-Ing. ETH in Electrical Engineering (ETH Zurich, 1986) Research Interests: Advancing accessibility in digital systems (e.g., accessible PDFs, navigation aids for visually impaired users) Speech recognition and dialogue systems Mobile application design principles Service engineering and platform development His recent work emphasizes multimodal interaction, accessible document remediation, and SLAM systems for navigation assistance. Projects: Leading the InCrowd-VI dataset project for indoor navigation Developing MathNet for mathematical expression recognition Creating accessible tourism services in Lake Constance region Grants & Labs: Active in EU-funded and industry collaborations, leading the InIT Institute founded in 2002. Collaborates with organizations like SwissICT and ACM.

Martin Gaedkeمشاهده پروفایل

استاد

• Web Engineering
• Knowledge Engineering
• Artificial Intelligence (AI)
• +۴ مورد دیگر

Prof. Dr.-Ing. Martin Gaedke is a Full Professor and Dean of the Department of Computer Science at Technische Universität Chemnitz (TU Chemnitz). He leads the research group Distributed and Self-organizing Systems (VSR) and holds roles such as President of the International Society of Web Engineering (ISWE), founder of the International AIQT Foundation, and member of the German Foundation for University Admissions' IT-advisory board. His expertise spans Web Engineering, AI-driven systems, and decentralized technologies. Education: Martin Gaedke earned a Master's degree (1997) and doctoral degree (2000) in Computer Science/Engineering from the University of Karlsruhe (now Karlsruhe Institute of Technology). Research Focus: Gaedke's work advances collaborative systems in hyper-connected societies, emphasizing Web Engineering, knowledge engineering, and AI-supported hypermedia systems. Key areas include chatbot design patterns, decentralized web trust, smart IoT systems, and end-user development tools. His contributions include pioneering work in Web Engineering since the 1990s, notably co-authoring the first Web Engineering paper at WWW6 (1997). Recent Trends in Publications: Recent research highlights dynamic code migration, GenAI-driven UIs, and ethical AI in chatbots. He emphasizes trust in decentralized systems (e.g., Solid-based social networks) and practical applications like autonomous smart home agents (WS3H). Awards: Ranked 39th globally in Knowledge Engineering (2020), honored with the AI 2000 Most Influential Scholars Honorable Mention and listed in the AI 2000 Annual List. His work is cited over 1,800 times in key areas like Web Engineering and IoT. Advising & Outreach: Gaedke has mentored numerous researchers and entrepreneurs through roles as a Certified High Performance Coach and business advisor. His lab, VSR, develops open-source tools like the Web-Based Network Simulator (WNSWE) for education and industry. Labs/Teams: The Distributed and Self-organizing Systems (VSR) group at TU Chemnitz focuses on innovative projects such as the Trusting Decentralized Web Data framework and the GenAI-Driven Multimodal UI Architecture .

Cleo Sgouropoulouمشاهده پروفایل

استاد

• E-Learning Technologies
• Learning Outcomes and Competence Modeling
• Open Educational Resources (OER)
• +۶ مورد دیگر

Cleo Sgouropoulou is a Professor at the Department of Informatics and Computer Engineering at the University of West Attica (UNIWA) and currently serves as Vice-Rector for Finance, Planning, and Development. She holds a Diploma and PhD in Electrical and Computer Engineering from NTUA. Her academic roles include Scientific Director of UNIWA's Institute of Lifelong Education and former Head of the Department of Informatics and Computer Engineering. Her research focuses on software engineering for Learning Technology and Research Information Systems, with an emphasis on standardization (e.g., CEN TC353) and European projects related to e-Learning, Open Educational Resources (OER), and digital skills frameworks. She has coordinated major initiatives like the EuroLMAI European Norm and contributed to standardization of learning outcomes and learner mobility models. Prof. Sgouropoulou has authored over 140 publications in journals like Information and Software Technology and IEEE Transactions on Learning Technologies , with over 1,400 citations. Her work bridges AI, AR/VR, and pedagogy, exploring adaptive learning systems, fuzzy logic applications, and gamified educational tools. Recent research includes AI-enhanced augmented reality systems (e.g., PARSAT AR), digital escape rooms for environmental education, and personalized learning frameworks using Bayesian and reinforcement learning approaches. She actively participates in European standardization bodies, shaping policies for digital competencies and ICT professionalism. Her contributions have been formalized into CEN standards and adopted across education sectors. She also advocates for the integration of AI ethics and human-centered design in educational technology. Her grants and projects emphasize open educational resources, digital skill frameworks, and immersive technologies in special education. She collaborates with institutions like CEN, ELOT, and the Greek Mirror Committees to advance standardization efforts and promote equitable access to lifelong learning.

Ishtiaque Ahmedمشاهده پروفایل

استادیار

• Social Justice
• Environmental Justice
• Sustainable Design
• +۴ مورد دیگر

Ishtiaque Ahmed is an Assistant Professor in the Department of Computer Science at the University of Toronto. His research focuses on social and environmental justice, sustainable design, and ethics in technology, particularly in marginalized communities. He has advised numerous students across PhD, Master’s, and undergraduate programs, with topics ranging from postsecular computing to ethics in AI and robotics. His work integrates interdisciplinary approaches, including HCI, migration studies, and global development. Key projects include mCARE (a mobile health initiative for children with ASD in LMICs), and investigations into algorithmic fairness, digital privacy, and the socio-technical challenges faced by marginalized populations. Dr. Ahmed's research has explored topics such as internet disconnection risks, faith-based violence categorization, and the ethical implications of LLMs. He collaborates widely, mentoring researchers globally and serving on PhD committees at institutions like Cornell and Monash University. His advising and mentoring network spans diverse disciplines, including computer science, political science, and public health. He emphasizes participatory design methodologies and has been instrumental in fostering international collaborations to address global challenges like climate migration and digital exclusion.

Viktoria Pammer-Schindlerمشاهده پروفایل

دانشیار

• Human-Computer Interaction (HCI)
• Educational Technology (EdTech)
• AI in Education
• +۷ مورد دیگر

Assoc. Prof. Viktoria Pammer-Schindler is an Associate Professor in Human-Computer Interaction (HCI) and Educational Technology (EdTech) at Graz University of Technology. She is Deputy Head of the Institute of Human-Centred Computing and a research area head at the Know-Center. Her work focuses on interactive AI for productivity, learning, and socio-technical systems design. She teaches courses such as 'Designing Interactive Systems' and 'Conversational Systems,' and has received recognition for teaching excellence. Her research spans language-based interaction, workplace learning, and ethical AI, with over 50 peer-reviewed publications. She actively serves in roles like Special Issue Editor for IEEE Transactions on Technologies for Learning and President of the International Alliance to Advance Learning in the Digital Era. Affiliations: Graz University of Technology (Institute of Human-Centred Computing), Know-Center Research Areas: HCI, EdTech, AI ethics, conversational agents, workplace learning analytics, and socio-technical systems Her awards include the 2023 Outstanding Paper Award at Bled eConference and multiple teaching nominations. She advises over 20 graduate students and leads projects funded by national and EU grants. Current research explores generative AI in creativity, voice-based interaction, and ethics in professional learning technologies. She has supervised impactful theses on topics like GenAI for creative collaboration and AI-enabled environments for well-being. Her work bridges theory and practice through field studies in call centers, apprenticeships, and SMEs, emphasizing user-centered design principles.

Yuanyuan Fengمشاهده پروفایل

استادیار

• Human-Computer Interaction (HCI)
• Usable Privacy & Security
• Privacy-Enhancing Technologies
• +۵ مورد دیگر

Dr. Yuanyuan Feng is an Assistant Professor in the Department of Computer Science at the University of Vermont (UVM). She holds a Ph.D. from Drexel University's College of Computing & Informatics and completed a postdoctoral fellowship at Carnegie Mellon University's School of Computer Science. Her research focuses on human-centered computing, addressing socio-technical challenges in data privacy, usable security, health informatics, and responsible AI. Dr. Feng's work bridges the gap between technical systems and human needs, emphasizing ethical data usage and equitable technology design. Her recent grants include an NSF SaTC Award for advancing differential privacy communication and an NSF CRII Award examining privacy in college athletics performance tracking. She has published extensively on topics like IoT privacy, accessibility for visually impaired users, and post-pandemic data privacy attitudes. Education: Ph.D., Drexel University; Postdoc, Carnegie Mellon University Key Research Areas: HCI, Privacy-Enhancing Technologies, Health Informatics, AI Ethics Recent Projects: IoTA Assistant App , IoT Portal , Opt-Out Easy Dr. Feng teaches CS 3280 (Human-Computer Interaction) and mentors students pursuing Ph.D. research in human-centered computing. She actively seeks motivated undergraduate and graduate students interested in HCI, privacy, and ethical AI.

Eelke Folmerمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Virtual Reality
• Accessibility Technology
• +۵ مورد دیگر

Eelke Folmer is a Professor and Chair in the Department of Computer Science & Engineering at the University of Nevada, Reno (UNR), part of the College of Engineering. He leads the HCI Lab, which focuses on human-computer interaction, virtual reality (VR), and accessibility technologies. His research addresses challenges such as VR-induced sickness, spatial navigation, and neurovestibular perception in collaboration with UNR's Neuroscience department. Research interests include virtual locomotion, accessibility for visually impaired users, eye-tracking applications, and sensory substitution systems. His work is supported by grants from the National Science Foundation (NSF), Google, Mozilla Foundation, and UNR. Key projects include developing low-cost VR positional tracking (StereoTrack), studying gender differences in VR experiences, and creating navigation aids for blind users. Notable contributions include the design of accessible exergames for children with visual impairments and the development of Haptic Target Acquisition systems. His lab also explores underwater VR systems for neutral buoyancy training and has published extensively on telepresence, tactile feedback, and non-visual interfaces. Advising highlights include mentoring Nathan in VR locomotion research. Collaborations span interdisciplinary teams in computer science, neuroscience, and engineering. The lab's work emphasizes real-world applications, such as drone-guided navigation for athletes and inclusive gaming interfaces.

• Surgical Robotics
• Minimally Invasive Surgery
• Virtual Reality in Medical Training
• +۳ مورد دیگر

Caroline Giai Ly Cao serves as Professor in Industrial and Enterprise Systems Engineering, Bioengineering, and Biomedical and Translational Sciences at the University of Illinois Urbana-Champaign's Grainger College of Engineering. She directs both Engineering Innovation and Medical Simulation and Applied Health Technology Initiatives, driving interdisciplinary medical technology development. Her research focuses on surgical robotics and medical simulation, specializing in laparoscopic training systems with haptic feedback integration. Key interests include virtual reality applications for clinical practice, operator fatigue modeling in robot-assisted surgery, and stress response analysis in virtual environments. The fingerprint analysis confirms dominant expertise in minimally invasive surgery (76% weight) and virtual reality applications (25% weight). Recent publications reveal strong trends in mixed-reality medical imaging integration and neural network applications for surgical instrumentation. Her team develops decision support systems for robotic procedures while advancing human factors engineering in healthcare settings through fatigue modeling and stress induction studies. Scientific recognition includes: IEA Fellow (2024) As director of two major initiatives, Dr. Cao leads teams developing medical simulation tools that bridge engineering innovation with clinical practice. Her Applied Health Technology Initiatives program specifically creates translational solutions for surgical training and patient care enhancement through advanced simulation technologies.

Evangelos Niforatosمشاهده پروفایل

استادیار

• AI-Powered Human Augmentation
• Human-Computer Interaction (HCI)
• Ubiquitous Computing
• +۳ مورد دیگر

Evangelos Niforatos is an Assistant Professor of AI-Powered Human Augmentation at the Sustainable Design Engineering Department within the Faculty of Industrial Design Engineering at TU Delft. His research focuses on developing AI systems to enhance human perception and cognition, with particular attention to neuro-adaptive systems and large language models (LLMs) for human augmentation. Education: Ph.D. in Ubiquitous Computing and HCI, Universitá della Svizzera italiana (USI), Switzerland (2014–2018) M.Sc. in Computer Networks and Communications, Ionian University, Greece (2009–2011) B.Sc. in Informatics, Ionian University, Greece (2004–2008) Research Interests: Evangelos explores AI applications in human augmentation, including wearable technologies, brain-computer interfaces (BCIs), and generative AI tools for design and manufacturing. He emphasizes ethical considerations in AI, such as appropriate trust and bias mitigation, while addressing challenges like cognitive assistants in industrial settings and EEG integration in head-mounted devices. Key Projects: Developed Focals smart glasses at North Inc. (now Google), pioneering socially acceptable AR eyewear. Launched the Design at Scale (D@S) Lab and contributed to the COALA (H2020) research project. Secured grants for AI Augmented Engineering Education initiatives. Labs & Collaborations: Active in the Design at Scale (D@S) Lab and collaborates internationally on projects like COALA, focusing on scalable design methodologies and human-centric AI solutions.

Hui Guanمشاهده پروفایل

استادیار

• Machine Learning
• Artificial Intelligence
• Programming Systems
• +۳ مورد دیگر

Hui Guan is an Assistant Professor at the Manning College of Information and Computer Sciences (CICS) at the University of Massachusetts Amherst. Currently on leave, she works at Amazon AWS developing LLM systems. She holds a PhD in Electrical Engineering from North Carolina State University (2020) and is a member of the PLASMA lab at UMass. Education: PhD in Electrical Engineering, North Carolina State University, 2020 Research Interests: Focuses on machine learning systems, optimizing deep multitask and graph learning. Aims to improve efficiency, scalability, and reliability of ML through system innovations. Leverages principles like composability and locality awareness to democratize ML applications. Awards: NSF CAREER Award (2024) Amazon Research Award (2022) NCSU ECE Distinguished Dissertation Award (2020) IBM PhD Fellowship (2015-2018) Grants and Projects: Includes NSF support for projects like Adaptive Deep Learning Systems and Memory-Driven Collaboration for Embedded Systems. Received grants from Adobe and Dolby. Students and Advising: Advises PhD students including Lijun Zhang, Kunjal Panchal, and Qizheng Yang. Collaborates with students from other groups like Sohaib Ahmad. Labs and Teams: Active member of the PLASMA lab, focusing on programming languages and systems research.

Heleen Muijlwijkمشاهده پروفایل

پژوهشگر

• Human-Technology Interaction
• Explainable AI (XAI)
• Health Informatics
• +۳ مورد دیگر

Heleen Muijlwijk is a Postdoctoral Researcher at Eindhoven University of Technology , affiliated with the Human Technology Interaction department under the Industrial Engineering and Innovation Sciences school. Her work focuses on human-AI collaboration, explainable AI, and health coaching systems. With a dual background in Psychology (BSc) and Mathematics (MSc), she bridges qualitative and quantitative research methods to understand how technology can be designed for human needs. Education & Roles: Bachelor's in Psychology Master's in Mathematics Postdoctoral Researcher at TU/e Former Statistical Consultant at CQM High School Mathematics Teacher Research Interests: Exploring transparency in AI systems, mental models of technology, and applications in healthcare. She emphasizes human-centered design to ensure effective collaboration between health professionals and AI tools, particularly in self-tracking data analysis. Grants & Labs: Involved with EAISI Health and Eindhoven MedTech Innovation Center . Her work is supported by interdisciplinary collaborations with Philips Electronics. Volunteer Work: Guest lecturer at primary schools promoting critical thinking about AI, especially encouraging girls' participation in technology development.

Seongkook Heoمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Haptics
• Sensing Technologies
• +۳ مورد دیگر

Seongkook Heo is the Alfred Weaver Career Enhancement Assistant Professor in the Department of Computer Science at the University of Virginia. His primary research focuses on Human-Computer Interaction (HCI), with an emphasis on developing novel sensing techniques, haptic feedback systems, and interactive technologies. He directs the Ultimate User Interface Lab, aiming to bridge physical and digital worlds through advanced interaction methods. He holds a Ph.D. in Computer Science from KAIST (2017), supervised by Prof. Geehyuk Lee. Prior roles include postdoctoral research at the University of Toronto's DGP Lab under Prof. Daniel Wigdor and industry internships at Samsung Advanced Institute of Technology, Microsoft Research, and Autodesk Research. Key research areas include tactile interfaces, gesture recognition, and assistive technologies. His work has been recognized with awards such as the ACM CHI Best Paper Award, ACM MobileCHI Best Paper Award, and the Meta Research Award. He teaches courses on HCI and interactive technologies at UVA. His Ultimate User Interface Lab explores cutting-edge projects like MoiréTag for tangible interactions, Thing2Reality for XR communication, and Take My Hand for visually impaired navigation. Collaborative tools like Openmic and ThingShare enhance remote collaboration through spatial and object-sharing innovations.

Jonas Löwgrenمشاهده پروفایل

استاد

• Interaction Design
• Information Design
• Collaborative Media Design
• +۴ مورد دیگر

Jonas Löwgren is a Professor of Interaction and Information Design at Linköping University, Sweden. He holds a Ph.D. in Computer Science and has been a prominent academic since the 1990s, contributing significantly to interaction design theory and practice. Löwgren has led the development of influential academic programs, including the Master’s program in Interaction Design at Malmö University and the international Master’s program in Design at Linköping University. His research focuses on collaborative media design, interactive visualization, and the theoretical foundations of interaction design, emphasizing human-centered approaches and the role of technology in societal challenges. Education: Löwgren earned his M.Sc. (1987), Ph.D. (1991), and Docent (1995) in Computer Science from Linköping University. He has held academic positions at multiple institutions, including Malmö University (1999–2015) and Blekinge Technical University (2000–15 as Adjunct Professor). Research Interests: Löwgren’s work explores how technology can be designed to foster meaningful interactions, with a focus on sustainability, collaborative systems, and the ethical dimensions of design. He has pioneered studies on interactive visualization tools for education and urban planning, emphasizing inclusivity and citizen engagement in smart city development. Grants & Leadership: He has managed numerous research projects, such as the Substrate project (2009–15) and the News Media Concept Lab (2010–11). He has served as a faculty opponent for over 30 doctoral defenses and contributed to academic leadership roles, including steering committees for research centers like Internet of Things and People (2013–15). Labs & Teams: Löwgren leads the Media Design and Image Reproduction unit at Linköping University and collaborates with industry partners on projects like the Pinpoint visualization tool (2008) and the Avatopia cross-media community initiative (2001–03).