جست‌وجوی استاد و پژوهشگر

• Machine Learning
• Computer Vision
• Affective Computing
• +۷ مورد دیگر

Antonio Fernández-Caballero is a Full Professor at Universidad de Castilla-La Mancha in the Departamento de Sistemas Informáticos , with a career spanning since 1996. His academic contributions focus on interdisciplinary research at the intersection of Computer Science, Neuroscience, and Human-Computer Interaction. Primary affiliation: Universidad de Castilla-La Mancha Department: Sistemas Informáticos Academic rank: Professor His research interests include affective computing, machine learning, computer vision, and applications in healthcare and smart cities. He has published extensively on emotion recognition using EEG/fNIRS signals, robot gesture interpretation for autism therapy, and domain-specific generative AI for medical simulations. Recent publications highlight his work in extended reality for rehabilitation, IoT solutions for elderly care, and systematic reviews on deep learning for defect detection and smart city societal aspects. Collaborations span institutions in Spain and Portugal, with cross-disciplinary applications in medical informatics, robotics, and smart environments.

Amber Reinhartمشاهده پروفایل

دانشیار

• Health Communication
• Persuasive Message Design
• Behavior Change
• +۴ مورد دیگر

Dr. Amber Reinhart is an Associate Professor in the Department of Communication and Media at the University of Missouri–St. Louis (UMSL) , within the College of Arts and Sciences . Her expertise lies in health communication, with a focus on persuasive message design and behavioral change. She is particularly interested in how messages can be crafted to influence health-related decisions, such as organ donation and vaccine uptake, especially among diverse populations. Education: Ph.D. in Communication, University at Buffalo M.A. in Communication, University at Buffalo B.A. in Communication, SUNY Geneseo Research Interests: Dr. Reinhart’s research explores how message framing , psychological reactance , and narrative transportation affect health behaviors. She investigates strategies to reduce resistance to health messages and increase engagement, particularly in the context of organ donation and COVID-19 vaccine hesitancy . Her work also examines the role of trust , religiosity , and cultural factors in health decision-making among African American and White populations. Her recent research has increasingly focused on restoration scripts and autonomy-supportive messaging to counteract psychological reactance in public health campaigns. These efforts aim to improve the effectiveness of health communication interventions across different demographic groups. Publications: Dr. Reinhart has published extensively in top-tier journals such as Communication Monographs , Health Communication , and Communication Reports . Her work spans from methodological contributions like meta-analyses and encyclopedia entries to applied studies on health behavior change. A consistent theme across her publications is the integration of communication theory with practical health interventions. Teaching: She teaches a range of undergraduate and graduate courses, including Health Communication , Interpersonal Communication , Persuasion and Influence , and Advanced Research Methods . Her teaching philosophy emphasizes the application of communication theory to real-world health challenges. Contact: reinhartam@umsl.edu | Phone: 314-516-5489

Reha Civanlarمشاهده پروفایل

استاد

• Computer Networking
• Multimedia Communications
• Wireless Communications
• +۳ مورد دیگر

Reha Civanlar serves as Vice Rector and Founding Dean of the Faculty of Engineering at Ozyegin University, Istanbul, following a distinguished career spanning AT&T Labs-Research, Bell Labs, and DOCOMO USA Labs where he was Executive Vice President (2006-2008). His academic leadership extends to prior roles as Visiting Professor at Koc University (2002-2006) and research department head at major telecommunications laboratories. His educational foundation includes: PhD in Electrical & Electronics Engineering, North Carolina State University (1984) MS in Electrical & Electronics Engineering, METU (1981) BS in Electrical & Electronics Engineering, METU (1976) Dr. Civanlar's research focuses on computer networking and multimedia communications , with pioneering contributions to video compression, wireless systems, and Internet-based multimedia delivery. His work bridges theoretical innovation and practical implementation, particularly in scalable video coding and real-time communication systems. Analysis of his 2015-2021 publications reveals sustained leadership in video conferencing technologies, noise reduction algorithms, and software-defined networking for wireless systems. Key thematic threads include content-adaptive video processing, multi-view video transmission for 3DTV applications, and optimization of multimedia delivery over heterogeneous networks. His scientific recognition includes: IEEE ASSP Group's Best Paper Award (1985) Fulbright Scholar designation IEEE Fellow (2005) Dr. Civanlar has directed major research initiatives including the Visual Communications Research Department at AT&T and DOCOMO's Computer Networks and Media Research Laboratory. He currently provides strategic guidance through advisory roles at Vidyo Inc. (USA) and Argela Teknolojileri AS (Turkey), while shaping academic direction as Vice Rector at Ozyegin University. His laboratory leadership has consistently produced industry-adopted innovations in multimedia communications standards.

Justus Thiesمشاهده پروفایل

استاد

• Computer Graphics
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

Justus Thies is a Professor at the Technical University Darmstadt (since September 2023), leading research at the intersection of computer graphics , computer vision , and machine learning . His work focuses on real-time 3D reconstruction, tracking, and photorealistic rendering of humans and environments using commodity hardware, with applications in AR/VR , movie production , and 3D telepresence for collaborative virtual environments. Current faculty member at Technical University Darmstadt Research themes: 3D reconstruction, neural rendering, hybrid machine learning/Graphics methods Applications: AR/VR, telepresence, human-environment modeling His research emphasizes neural rendering and deep learning approaches for facial and body modeling, including projects like GEM (Gaussian Eigen Models), SynShot (synthetic prior inversion), and TeCH (text-guided clothed human reconstruction). Collaborations include institutions like Max Planck Institute for Intelligent Systems and Google . Key trends in his recent publications include: neural Gaussian splatting for real-time avatars, diffusion models for speech/audio-driven animation, and hybrid approaches that combine classical computer graphics principles with modern machine learning techniques. These methods address challenges in generalizability , controllability , and editability of 3D representations. Notable research contributions since 2014 include advancements in monocular facial reconstruction , real-time expression transfer , and neural rendering techniques that enable 3D scene synthesis from unpaired or sparse data. His work has received significant recognition, including Face2Face featured in Communications of the ACM (2019) and multiple publications at top venues like CVPR , ECCV , and SIGGRAPH .

Jussi Ängesleväمشاهده پروفایل

استاد

• Media Art
• Interaction Design
• Digital Materiality
• +۳ مورد دیگر

Jussi Ängeslevä is a Professor at Berlin University of the Arts and Creative Director at ART+COM Studios, specializing in media art, interaction design, and digital materiality. His career spans academic roles including Visiting Professor at Royal College of Art (2011-2018), Honorary Professor at UdK Berlin (2011-present), and Assistant Professor at UdK Berlin (2005-2007). He holds an MA in Audio-Visual Media Culture from the University of Lapland (2004) and an MA in Interaction Design from the Royal College of Art (2002). His research explores the intersection of computational design, physical interfaces, and spatial communication, with notable interests in kinetic sculptures, caustic light systems, and hybrid museum experiences. Projects like 'RGB|CMY Kinetic' and 'Pinnannousu' demonstrate his integration of mechatronics, computational optics, and environmental interaction. Ängeslevä has received over 20 international awards including a D&AD Black Pencil (2009), Cannes Lions Gold (2009), and Prix Ars Electronica (2003). His contributions to academic discourse include publications on prototyping methodologies, digital materiality, and embodied interaction in venues like Springer and Cambridge University Press. He actively participates in juries for Ars Electronica, D&AD, and Siggraph. Collaborations with institutions like EPFL and Museum für Naturkunde highlight his interdisciplinary approach. Current projects include 'NuForm' (hybrid museum experiences) and 'Place of Remembrance' (data-driven memorials using organic materials). He maintains affiliations with the Hybrid Plattform Berlin and contributes to design education globally.

Ryan Carterمشاهده پروفایل

دانشیار

• Music Composition
• Computer Music
• Electronic Music
• +۳ مورد دیگر

Ryan Carter is an Associate Professor of Music at Hamilton College, specializing in contemporary music composition and digital arts. His work bridges acoustic composition with computer programming, exemplified by his interactive app iMonkeypants. Education: Ph.D. in Music Composition from New York University, M.A. from Stony Brook University, B.Mus. from Oberlin Conservatory. Carter's research focuses on algorithmic composition, electronic music, and real-time interactive sound synthesis using the RTcmix audio programming language. His compositions have been performed by renowned ensembles including the Cleveland Chamber Symphony and the International Contemporary Ensemble. Recent commissions include works for Carnegie Hall, the Calder Quartet, and the National Flute Association. His publications and recordings have been released by major labels such as KAIROS Records and Navona Records. Selected Awards: Red Jasper Award (2022), National Endowment for the Arts grants, LA Phil Prize (2017), and multiple recognitions from Meet the Composer. Carter has taught courses like Introduction to Music, Sound, and Technology and Advanced Audio Production , reflecting his expertise in integrating technology with traditional music education.

Shih-Yang Suمشاهده پروفایل

پژوهشگر

• Human Motion Learning
• 3D Vision
• Character Animation
• +۳ مورد دیگر

Shih-Yang Su is a recent PhD graduate in Computer Science from the University of British Columbia, specializing in Human Motion Learning, 3D Vision, and Character Animation. His research bridges computer vision and graphics, with significant contributions to neural rendering and articulated human modeling. His primary research interests include: Human Motion Learning and Character Animation using neural representations Neural Radiance Fields (NeRF) for articulated objects and human bodies 3D Vision techniques for novel view synthesis and depth inpainting Reinforcement Learning applications in embodied environments His publication record shows a clear progression from reinforcement learning (2017-2018) toward neural rendering and human modeling (2020-2024), with increasing focus on articulated neural representations. Key publications include work on Neural Point Characters (ICCV 2023) and DANBO (ECCV 2022), which address fundamental challenges in representing articulated human bodies. Collaborations span multiple institutions including Meta Reality Labs (with Dr. Michael Zollhöfer and Dr. Timur Bagautdinov), University of Maryland (with Prof. Jia-Bin Huang), Borealis AI (with Dr. Hossein Hajimirsadeghi), and Academia Sinica (with Dr. Yi-Hsuang Yang and Dr. Li Su).

Jesse Wrightمشاهده پروفایل

استادیار

• Journalism
• Documentary Storytelling
• Visual Journalism
• +۳ مورد دیگر

Jesse Wright serves as a Teaching Assistant Professor of Journalism at the Reed School of Media and Communications, West Virginia University, appointed in February 2020 as a Mellon Foundation-funded practitioner in residence. He teaches beat reporting and contributes as a visual/audio editor for 100 Days in Appalachia, a digital publication housed at the WVU Media Innovation Center. Wright earned his bachelor's degree in journalism from West Virginia University after moving from South Africa in 1996, where he witnessed the end of Apartheid. His professional background includes serving as copy desk chief at the Dominion Post and news director/executive producer at West Virginia Public Broadcasting for programs including Inside Appalachia and Legislature Today . His research centers on community documentary storytelling and regional multimedia journalism , with emphasis on Appalachian communities. Wright co-developed a trans-disciplinary minor in community documentary storytelling with Professor Joel Beeson and integrated 100 Days in Appalachia into curriculum with Professor Dana Coester. His work spans collaborative projects like Appalachia Health News and the Ohio Valley ReSource , addressing democratic processes and health issues through visual/audio narratives. Scientific Awards: No scientific awards or fellowships were documented in the source material. Wright's academic contributions include program development through the Mellon Foundation residency and leadership in editorial collaborations. While specific student advising details are absent, his curriculum innovations directly impact journalism education. He maintains active partnerships with the WVU Media Innovation Center, West Virginia Public Broadcasting, and regional news consortia to bridge academic training and professional media practice. He operates within the WVU College of Creative Arts and Media ecosystem, leveraging the Media Innovation Center for 100 Days in Appalachia while advancing documentary storytelling as both pedagogical framework and community engagement tool across the Appalachian region.

Kazimierz Chorośمشاهده پروفایل

استاد

• digital image and video processing
• content-based video indexing and retrieval
• computer animations
• +۴ مورد دیگر

Kazimierz Choroś is a Professor at the Department of Applied Informatics , Faculty of Information and Communication Technology , Wrocław University of Science and Technology. He held leadership roles as Deputy Director of the Institute of Informatics (2008-2014) and Deputy Dean of the Faculty of Computer Science and Management (2016-2020). Research interests: digital image/video processing, content-based video indexing, computer animations, multimedia systems, web systems analysis, and information systems design. Organizer and Chair of the International Conference on Multimedia & Network Information Systems (MISSI 2022) Chair of Special Session WebSys 2020 at ICCCI 2020 Other activities: Since 1993, member and former President (1993-2002) of the SAGE Association (Polish Graduates of French Grandes Ecoles). Since 1982, member of the Polish Numismatic Society, author of dozens of numismatic publications, and Editor-in-Chief of Wrocławskie Zapiski Numizmatyczne (2003-present). Contact: Email: kazimierz.choros@pwr.edu.pl Phone: +48-71.320.3799 Office: Building D2, Room 201/1 Address: Wrocław University of Science and Technology, Wyb. Wyspiańskiego 27, 50-370 Wrocław, Poland

Nilüfer YURTAYمشاهده پروفایل

استاد

• Machine Learning
• Data Mining
• Artificial Intelligence
• +۷ مورد دیگر

Prof. Dr. Nilüfer YURTAY is a distinguished faculty member at Sakarya University's Faculty of Computer and Information Sciences, Department of Computer Engineering. Her academic career spans over three decades, beginning as a Research Assistant in 1992 and advancing to her current position as Professor. Current Courses: Computer Engineering Design, Optimization, Medical Statistics and Medical Informatics, Graduation Projects, Data Mining Applications, and Specialization Areas Previously Taught: Discrete Operational Structures, Data Mining, Applied Engineering Experience Training Professor YURTAY's research spans multiple domains of computer science with a focus on practical applications. Her work demonstrates consistent excellence in machine learning, data mining, and artificial intelligence, particularly applied to medical informatics, traffic safety analysis, and assistive technologies for visually impaired individuals. She has made significant contributions to feature selection algorithms, metaheuristic optimization techniques, and medical diagnosis systems. Her publication record reveals a strong trajectory of high-impact research, with recent works focusing on real-time object detection (AYOLO), traffic accident analysis using decision trees, binary chaotic optimization algorithms, and voice-assisted systems for visually impaired students. These publications appear in reputable journals including IEEE ACCESS, Applied Sciences, and Engineering Science and Technology. Professor YURTAY has supervised numerous graduate students, guiding research in data mining applications in healthcare, Turkish text-to-speech synthesis, pattern recognition in bioinformatics, and demand prediction for ATMs. Her academic leadership extends to developing educational resources, including her textbook 'Ayrık İşlemsel Yapılar' (Discrete Operational Structures). Her research group maintains active projects in medical informatics, traffic safety analysis, and assistive technologies, reflecting her commitment to solving real-world problems through computational methods. Professor YURTAY's work bridges theoretical computer science with practical applications that address societal challenges in healthcare, transportation, and accessibility.

Bing Zhaiمشاهده پروفایل

استادیار

• Time Series Data Analysis
• Biosignal Analysis
• Computational Behaviour Analysis
• +۷ مورد دیگر

Bing Zhai is an Assistant Professor in Computer Science at Northumbria University, specializing in developing practical AI tools to solve time-series data challenges in real-world applications. His research bridges the gap between signal/data and human-understandable knowledge through mathematical modeling and machine learning algorithms, with particular focus on healthcare applications. Education PhD in Data Science for Healthcare, School of Computing, Newcastle University Research Interests Dr. Zhai's primary research interests include time series data analysis, biosignal analysis, computational behaviour analysis, and healthcare applications. He has extensive experience developing machine learning and deep learning algorithms for biosignal data-based applications in physical behaviour assessment and health and well-being monitoring. His work spans AI for good initiatives, computer vision, and audio/speech analysis. At Northumbria University, he conducts sleepiness and fatigue research using machine learning methods and collaborates with more than a dozen research institutions on the IDEA-FAST project (€40 million), which focuses on identifying digital endpoints and biomarkers of sleep disturbance and fatigue. Research Trends Dr. Zhai's recent publications demonstrate a strong focus on applying machine learning to healthcare challenges, particularly in sleep analysis, medical imaging, and cardiovascular risk prediction. His work shows expertise in multimodal data fusion, explainable AI for medical applications, and specialized architectures for time-series and biosignal data processing. He frequently develops novel neural network architectures tailored for specific healthcare applications while maintaining practical usability. Supervision and Projects Dr. Zhai currently supervises PhD research, including Sarah Alshahrani's work on 'AI-Based Multimodal Model for Enhanced Clinical Decision Support and Phrase-Level Grounding in Chest Disease Detection' (started June 2024). He was previously a research associate at the School of Computing at Newcastle University, working on the IDEA-FAST project to identify digital endpoints and biomarkers of sleep disturbance and fatigue.

Srinath Sridharمشاهده پروفایل

استادیار

• 3D Computer Vision
• Artificial Intelligence
• Human-Object Interaction
• +۳ مورد دیگر

Srinath Sridhar serves as the John E. Savage Assistant Professor in the Department of Computer Science at Brown University, where he directs the Interactive 3D Vision & Learning Lab (IVL). His research program centers on 3D computer vision and artificial intelligence, specifically developing foundational methods for 4D spatiotemporal visual understanding of objects, human motion, and human-object interactions in dynamic environments. His academic foundation includes a PhD from the Max-Planck Institute (2016), an MSE from the University of Michigan (2012), and a BE from Anna University (2010). Prior to his faculty position, he completed a postdoctoral fellowship at Stanford University under Leonidas Guibas and gained industry experience at Microsoft Research and Honda Research Institute. Research interests span 3D computer vision, artificial intelligence, human-object interaction, robot perception, and deep learning. The IVL lab pioneers techniques for modeling complex 4D visual phenomena, with emphasis on real-world applicability in robotics and virtual environments. Current work integrates geometric computer vision with deep learning to solve challenges in dynamic scene understanding. Analysis of recent publications (2024-2025) reveals dominant trends in 3D vision, generative modeling, and human-robot interaction. Key themes include Gaussian splatting optimization, diffusion-based 3D generation, hand-object manipulation, and multimodal perception. The work consistently bridges theoretical advances with practical robotics applications, particularly in pose estimation, tactile sensing, and dynamic scene decomposition. His scientific recognition includes: NSF CAREER award Google Research Scholar award Best Student Paper award at WACV 2025 Best Paper Honorable Mention at Eurographics 2019 Sridhar teaches core computer vision courses including CSCI 1430 (Computer Vision) and specialized graduate seminars on 3D vision and robot perception. He maintains active research partnerships through his roles as Amazon Scholar and Visiting Faculty at the Indian Institute of Science (IISc), supported by grants from NSF and industry collaborators. The Interactive 3D Vision & Learning Lab (IVL) operates as a multidisciplinary hub for advancing 3D perception, with ongoing projects in generative 3D modeling, real-time pose tracking, and embodied AI. The lab emphasizes open collaboration and maintains strong ties with robotics research groups at Brown and industry partners.

Mike Cookمشاهده پروفایل

مدرس ارشد

• Computational Creativity
• Artificial Intelligence in Game Design
• Procedural Generation
• +۴ مورد دیگر

Dr. Mike Cook is a Senior Lecturer in the Department of Informatics at King’s College London, focusing on computational creativity and artificial intelligence applications in game design. He studies how AI can autonomously create video games, blending software engineering, design, and human-computer interaction. At King’s, he leads the Human-Centred Computing Group as Deputy Head and contributes to the Arts & Creativity Hub, which explores informatics in creative domains like games and storytelling. Research Interests: Computational creativity, automated game design, procedural generation, generative software, and AI-human collaboration in creative processes. Key Projects: Creator of AI game design systems Angelina , Puck , and Pixie , which generate games from newspaper headlines, code-level mechanics, and narrative structures. Scientific Awards: Recipient of the Royal Academy of Engineering Research Fellowship for his work on automated game design and creative AI tools. Public Engagement: Regularly participates in events like New Scientist Live and co-founded PROCJAM , a procedural generation game development jam.

Sung-Wook Baikمشاهده پروفایل

استاد

• Image Processing
• Pattern Recognition
• Video Analytics
• +۱۲ مورد دیگر

Sung-Wook Baik is a Full Professor at the Department of Digital Contents , Sejong University , and serves as Vice President of Research Affairs. He also holds an Adjunct Professor position at Ton Duc Thang University , Vietnam. His career spans over two decades, including leadership roles as Dean of Colleges of Software Convergence and Electronics and Information Engineering, Managing Director of the National Program of Excellence in Software, and Director of the Intelligent Media Laboratory (IM Lab). Education: Ph.D. in Information Technology, George Mason University (1999) M.A. in Computer Science, Northern Illinois University (1992) B.A. in Computational Statistics, Seoul National University (1987) Professor Baik’s research focuses on image processing, pattern recognition, video analytics, and smart energy systems for smart cities. His work integrates deep learning , transformers , and edge computing for applications in surveillance , fire detection , and energy load forecasting . He has published over 150 peer-reviewed papers and led international conferences, emphasizing IoT , IIoT , and multimodal data fusion . His recent publications highlight advancements in anomaly detection for smart surveillance, population projection using graph neural networks, and energy consumption prediction via hybrid deep learning. These works span journals like Pattern Recognition , IEEE Transactions on Industrial Informatics , and Applied Energy , with keywords covering Computer Science , Artificial Intelligence , and Smart City Infrastructure . Scientific Awards: Ministry of Science and ICT Minister's Citation (2020) Daeyang Academic Achievement Award (2018) Aejieon Academic Achievement Award (2016) Outstanding Research Award, Sejong University (2005) Commonwealth of Virginia Awards (2001, 1998) IEEE Contribution Award (2010) In collaboration with global teams, he advances smart surveillance and renewable energy management . His lab, IM Lab , specializes in intelligent media technologies , with patents in fire detection , energy forecasting , and person re-identification systems.

• Computer Vision
• Image Processing
• Facial Expression Recognition
• +۴ مورد دیگر

Yong Man Ro is a Professor of Electrical Engineering and ICT Endowed Chair Professor at Korea Advanced Institute of Science and Technology (KAIST). His research spans multiple areas of computer vision and artificial intelligence with a focus on facial expression recognition, video anomaly detection, and virtual reality applications. Professor Ro's research interests include: Computer Vision and Image Processing Facial Expression and Micro-expression Recognition Video Anomaly and Abnormal Event Detection Virtual Reality and 360-degree Image Quality Assessment Large Language and Vision Models Medical Image Analysis His recent publications demonstrate a strong trend toward multimodal AI systems, particularly focusing on the integration of language and vision capabilities. Professor Ro has made significant contributions to video anomaly detection with his BMAN framework and has recently been exploring the frontiers of large language and vision models with works like Moai and Meteor. His research trajectory shows evolution from foundational work in facial recognition to cutting-edge multimodal AI systems. Professor Ro has received substantial academic recognition with his work being cited over 12,865 times, indicating significant influence in his field.