جست‌وجوی استاد و پژوهشگر

Elizabeth Medina-Grayمشاهده پروفایل

دانشیار

• Music Theory
• Video Game Music
• Sound in Video Games
• +۲ مورد دیگر

Dr. Elizabeth Medina-Gray serves as Associate Professor in Composition and Music Studies at Ithaca College's School of Music, Theatre, and Dance, teaching music theory, aural skills, and video game music analysis since 2016. Education: Ph.D. in Music Theory, Yale University (2014) M.A. and M.Phil. in Music Theory, Yale University B.A. in Music and Chemistry, Swarthmore College Research Focus: Pioneering analytical frameworks for video game music and sound design, with emphasis on interactive media. Her work bridges music theory with game studies, examining how sonic elements enhance narrative and player engagement in digital environments through presentations at SMT, AMS, and NACVGM conferences. Professional Leadership: Executive committee member of the Society for the Study of Sound and Music in Games (SSSMG); NACVGM program committee (2015-2024); founding Associate Editor and former co-Editor-in-Chief of the Journal of Sound and Music in Games (2020-2024). Teaching Philosophy: Cultivates musicality and critical analysis across diverse student populations through courses integrating traditional theory with contemporary media, building on prior teaching experience at Yale University, Oberlin Conservatory, and Humboldt State University.

• Computer Vision
• Artificial Intelligence
• Pattern Recognition
• +۶ مورد دیگر

Andrey Vladimirovich Savchenko is a prominent researcher and educator in computer vision and artificial intelligence at the National Research University Higher School of Economics (HSE) in Nizhny Novgorod. He holds multiple positions including Professor at the Faculty of Informatics, Mathematics, and Computer Science, Leading Researcher at the Faculty of Computer Science and Institute of Artificial Intelligence and Digital Sciences, and Academic Director of the "Artificial Intelligence and Computer Vision" educational program. His educational background includes: 2016: Doctor of Technical Sciences from Nizhny Novgorod State Technical University 2015: Academic title of Associate Professor 2011: Candidate of Technical Sciences 2008: Specialist degree in Applied Mathematics and Computer Science Savchenko's research focuses on computer vision, pattern recognition, and artificial intelligence, with particular emphasis on facial recognition, emotion analysis, and efficient deep learning algorithms. His work bridges theoretical foundations with practical applications, especially in mobile computing environments where computational resources are limited. He has developed innovative methods for making AI systems more efficient without significant loss in accuracy. His recent publications demonstrate a strong trend toward multimodal analysis, combining visual, audio, and textual data for more robust recognition systems. There's a clear emphasis on making AI systems more efficient, especially for mobile devices, and on developing methods that can work with limited computational resources while maintaining high accuracy. His work spans fundamental research on neural network architectures and practical applications in education, healthcare, and human-computer interaction. Among his notable scientific achievements: Gratitude from the Governor of Nizhny Novgorod region (2022) Multiple gratitude awards from HSE (2021-2022) Best Teacher Award (2018-2019) Leaders of IT Industry Award from NEYMARK IT Campus (2023) Academic Success Bonus at HSE (2011-2013) Savchenko has successfully supervised numerous master's students and currently mentors PhD candidates working on cutting-edge topics like large language models for recommendation systems and document analysis. He has secured significant research funding, including projects with Huawei, Sberbank, and the Russian Science Foundation, totaling millions of rubles. His laboratory focuses on developing efficient algorithms for computer vision and multimodal data analysis. He leads the Laboratory of Theoretical Foundations of Artificial Intelligence Models and has established strong industry partnerships that ensure his research has practical impact. His NVIDIA Deep Learning Institute certification demonstrates his commitment to staying current with the latest AI technologies.

Kimin Leeمشاهده پروفایل

استادیار

• Safe and capable decision-making agents
• Physical AI
• Reinforcement Learning from Human Feedback
• +۹ مورد دیگر

Kimin Lee is an assistant professor at the Graduate School of AI at Korea Advanced Institute of Science and Technology (KAIST), where he focuses on developing safe and capable decision-making agents. His research spans multiple aspects of artificial intelligence with a strong emphasis on safety and reliability. Dr. Lee completed his educational journey at KAIST, earning a Ph.D. in Electrical Engineering with a focus on Machine/Deep Learning (2015-2020), advised by Professor Jinwoo Shin. He also holds a Master's degree in Electrical Engineering (Wireless Communication Networks, 2013-2015) and a Bachelor's degree in Electrical Engineering (2009-2013), both from KAIST. His primary research interests include: Physical AI - developing AI systems that can interact safely and effectively with the physical world Alignment - particularly reinforcement learning from human feedback (RLHF) and scalable oversight techniques Monitoring - safety evaluation frameworks and benchmarking for AI systems LLM Agents - enhancing the capabilities and safety of large language model-based agents Dr. Lee's recent publications reveal a strong trajectory toward addressing critical challenges in AI safety. His work consistently bridges theoretical advances with practical applications, particularly in the areas of reinforcement learning, computer vision, and natural language processing. A notable trend in his research is the development of methods to evaluate and enhance the safety of AI systems, especially large language models and diffusion models, while maintaining or improving their capabilities. As an active member of the academic community, Dr. Lee serves as an area chair for major conferences including NeurIPS, ICLR, and ICML, and regularly reviews for top-tier AI venues. He has also organized workshops focused on safe and trustworthy AI agents. Dr. Lee's research group at KAIST appears to focus on AI safety and decision-making, with research projects spanning from theoretical foundations to practical implementations of safe AI systems. His collaborative work with institutions like UC Berkeley and Google Research demonstrates the interdisciplinary nature of his research approach.

• Semiotics
• Media and Communication
• Educational Philosophy
• +۵ مورد دیگر

Dr. Natasa Lackovic is a Senior Lecturer in the Department of Educational Research at Lancaster University's School of Social Sciences . As a philosopher of media, communication, and technology in education, she specializes in visual and multimodal approaches to higher education. Co-Director, Social Futures Centre Senior Fellow of Higher Education Academy (SFHEA) Co-Editor, Video Journal of Educational Pedagogy Member, International Association of Semiotic Studies Research Associate, University of Belgrade Her research bridges dualisms like 'image-concept' and 'mind-body' through inquiry graphics , relational HE , and postdigital semiotics . She examines embodiment, materiality, and digital representation in education, emphasizing social justice and interdisciplinarity. Key article themes include: Postdigital literacies and digital culture Relational pedagogy and sociomaterial approaches Visual semiotics in critical thinking Decolonial and emancipatory educational frameworks Algorithmic ethics in pedagogy Environmental sustainability through multimodal methods Scientific contributions: Authored two seminal monographs Developed inquiry graphics as pedagogical/research method Coordinated Graphic Novels and Comics Research Network Over 20 PhD theses supervised

Ashwin Ramمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Wearable Computing
• Augmented Reality
• +۴ مورد دیگر

Ashwin Ram is a postdoctoral researcher at Saarland University's Human-Computer Interaction & Interactive Technologies Lab, under Prof. Jürgen Steimle. He holds a PhD in Computer Science from the National University of Singapore (NUS), advised by Prof. Shengdong Zhao, and a Bachelor's in Electronics Engineering from NIT Trichy. His research focuses on wearable augmented reality, smart glasses, and accessibility, leveraging cognitive and behavioral theories to design intelligent interfaces. Notable contributions include Mindful Moments (DIS '23, Honorable Mention), a mindfulness tool for smart glasses, and a quadruped robot guidance system for visually impaired individuals (CHI '24, Honorable Mention). He has served as an Associate Chair (AC) for UIST 2025 and CHI 2025. His work bridges HCI with wearable computing, exploring topics like video learning optimization (LSVP, IMWUT '21), sound source localization via neural networks (NCC '18), and accelerating Hawkes processes for event modeling (ICML '17 workshop). He collaborates internationally, including a research visit at UCL's Multi-Sensory Devices Group. Key achievements include 17 peer-reviewed publications (Google Scholar, ORCID: 0000-0003-1430-8770) and interdisciplinary projects like semantic floor map-based robot navigation. Beyond academia, he practices Carnatic music, plays guitar, and is fluent in Malayalam, Tamil, and English, with proficiency in French, German, and Hindi.

Franco Leporeمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Sensory Systems
• Brain Plasticity
• +۵ مورد دیگر

Franco Lepore is a Full Professor in the Department of Psychology at the University of Montreal and Director of the Centre de recherche en neuropsychologie et cognition (CERNEC). His research focuses on sensory systems, brain plasticity, and cognitive neuroscience, particularly studying visual and auditory processing in individuals with sensory deprivation. He has held the Canada Research Chair in Cognitive Neuroscience since 2008 and leads a team of 40 researchers. Education: PhD in Psychology (1971, University of Montreal), postdoctoral training at the University of Pisa. He established CERNEC in 1988, equipped with state-of-the-art facilities like a magnetoencephalography system. Research Interests: Investigates how sensory deprivation (blindness/deafness) induces brain reorganization, cross-modal plasticity, and emotional processing in the insula. Key studies include superior sound localization in the blind and neural mechanisms underlying blindsight. Awards: Ordre national du Québec (2009), Fellow of the Royal Society of Canada (1988), Richard Tees Leadership Award (2005), and numerous grants from Canadian Institutes of Health Research and Fonds de recherche du Québec. Advising & Grants: Supervised over 70 graduate students and secured millions in funding for projects on sensory systems, cochlear implants, and video game impacts on hippocampal integrity. Leads major networks like Réseau de recherche en santé de la vision (RRSV). Labs/Teams: Directs CERNEC labs with advanced neuroimaging tools (fMRI, MEG) and collaborates with institutions like the Montreal Neurological Institute. Research spans clinical applications, developmental neurobiology, and cognitive rehabilitation.

Yannis Konstasمشاهده پروفایل

دانشیار

• Natural Language Processing (NLP)
• Artificial Intelligence (AI)
• Natural Language Generation (NLG)
• +۳ مورد دیگر

Yannis Konstas is an Associate Professor (Reader in the UK system) at Heriot-Watt University’s School of Mathematical & Computer Sciences, Department of Computer Science. He co-leads the Safe and Secure AI for Robotics (SAIR) theme at the National Robotarium. His research focuses on Responsible, Safe, and Explainable AI applications using NLP, including Gender-Based Violence (GBV) detection via LLMs, Social Behavior Modeling, and Vision-Language-Action (VLA) models for robotics. He holds a PhD from the University of Edinburgh (2013), supervised by Mirella Lapata, and has held postdoctoral roles at the University of Washington and the University of Edinburgh. Research interests include Natural Language Generation (NLG), representations, modeling, and evaluation across domains like math problems and dialogue systems. His work spans Psycholinguistics, semantics, and Information Retrieval. He actively explores new fields, such as LLM interpretability and instruction-driven robotic manipulation. He accepts PhD students and collaborates on interdisciplinary projects, including regulatory compliance digitalization and embodied AI for egocentric video understanding. Education: PhD in Computer Science (2013), University of Edinburgh; Postdoctoral Researcher at University of Washington (2015–2017) and University of Edinburgh.

• Artificial Intelligence
• Computer Vision
• Natural Language Processing
• +۵ مورد دیگر

Gwenn Englebienne is an Assistant Professor at the Digital Society Institute and Human Media Interaction group of Utrecht University. Their research focuses on Artificial Intelligence, Computer Vision, and Human-AI Interaction, with applications in robotics, health, and social computing. They have contributed to over 80 research outputs since 2007, emphasizing embodied AI, social robotics, and explainable machine learning. Research interests span activity recognition, teleoperation systems, and ethical AI design. Notable work includes developing GNN-based group detection algorithms and evaluating chatbot reliability through automated question-answering frameworks. Their studies often bridge technical innovation with human-centered design, such as measuring embodiment via pupil dilation or addressing asymmetry in video-conferencing interactions. Key collaborations include work on social robotics, telepresence systems, and health monitoring using ambient sensors. Publications span conferences like IDA, CogMI, and LREC-COLING, reflecting interdisciplinary impact. A dataset on robot social positioning behavior is publicly accessible via 4TU.Centre for Research Data. Current work explores semi-supervised domain adaptation, spiking neural networks, and the psychological dimensions of AI trustworthiness. They lead initiatives in the Digital Society Institute to align technological advancements with societal needs.

Li Leidaمشاهده پروفایل

استاد

• Computer Vision
• Image and Video Quality Assessment
• Computational Aesthetics
• +۳ مورد دیگر

Professor Li Leida is a National Young Talent and doctoral supervisor at Xidian University's School of Artificial Intelligence. His research focuses on computer vision, image/video quality assessment, computational aesthetics, and visual sentiment analysis. He leads the Brain-like Visual Perception and Evaluation Laboratory and collaborates with industry partners like OPPO, Huawei, and Tencent. He has published over 90 papers in top venues like TPAMI and CVPR, with 6 highly cited papers and 8,400+ citations. He serves as deputy editor-in-chief of IEEE Transactions on Image Processing and is a senior member of IEEE/CCF/CSIG. Education & Academic Roles: PhD Supervisor/Master Supervisor Member of OPPO Computational Imaging Expert Committee Area Chair for ACM Multimedia 2025 Research Interests: Dr. Li's work bridges theoretical computer vision with practical applications in imaging quality, aesthetic evaluation, and sentiment analysis. His team develops benchmarks like AesBench for large model evaluation. Recent advancements include scanned image enhancement algorithms and personalized aesthetic datasets like PARA. Industry Impact: OPPO ColorOS integration Live broadcast camera technologies DXOMARK Portrait Quality Assessment Challenge winner (2024) Awards & Recognition: First Prize in Shaanxi Natural Science (2021) 2022 OPPO Industry Collaboration Award Stanford's Top 2% Global Scientists (2023-2024) Grants & Labs: Secured 5 National Natural Science Foundation projects. Active in lab collaborations with companies like DJI and Huawei's imaging teams.

Tem Frank Andersenمشاهده پروفایل

دانشیار

• Digital Leisure
• Media Studies
• Youth Culture
• +۵ مورد دیگر

Tem Frank Andersen is a Teaching Associate Professor at Aalborg University’s Department of Communication and Psychology, within the Faculty of Social Sciences and Humanities. His research focuses on digital leisure, encompassing comic books, e-sports, and superhero cultures, analyzed through media theory, fandom studies, and ideology critique. He leads projects like ‘Digital consumer culture & mental health’ and ‘ComixCraft’, emphasizing interactive media and experience design. His work intersects with UN Sustainable Development Goals related to climate awareness and cultural sustainability. Education: PhD in ICT and Learning (Youth and Computer Culture, 2006). Key research areas include digital media’s role in youth culture, sports technology, and climate discourse. He has published over 279 works, including articles on comics as climate communication tools and the psychological impacts of lightsaber fencing. Research interests span media ethnography, play theory, and the domestication of technology. His projects often bridge academia and public engagement, such as the ‘DiFUA’ initiative for digital research dissemination. He is affiliated with the InDiMedia Centre and the SSH Children and Youth Research Network. Recent activities include guest lectures on lightsaber fencing’s mental health benefits and peer reviews on animation challenges. Media contributions address societal issues like social media’s impact on youth and cultural preservation.

• Human-Computer Interaction
• User Experience Design
• Cognitive Psychology
• +۳ مورد دیگر

Demetrios Karis serves as an Adjunct Lecturer in Experience Design at Bentley University while operating his independent consultancy Karis User Experience Evaluation. His academic foundation includes a BA from Swarthmore College, PhD from Cornell University, and Post Doctoral Fellowship at the University of Illinois, Urbana-Champaign, with current office location in Smith Technology Center (Room 121). Education background: BA, Swarthmore College PhD, Cornell University Post Doctoral Fellowship, University of Illinois, Urbana-Champaign Dr. Karis's research spans four decades with two distinct phases: early foundational work in Human-Computer Interaction focusing on speech recognition interfaces and cognitive psychology (1980s-2000s), followed by a radical pivot toward existential climate collapse analysis (2018-2025). His current scholarship integrates biophysical, political, economic, military, health, and psychological perspectives to model civilizational risks, while earlier contributions established key principles in usability testing, remote collaboration systems, and speech interface design. This evolution reflects both technical expertise in user experience methodologies and growing urgency regarding planetary-scale crises. Analysis of his 15 most recent publications reveals a clear methodological continuity—applying rigorous human factors frameworks from his HCI work to complex societal systems in his climate research—while demonstrating extraordinary disciplinary range from psychophysiology to geopolitical forecasting. Regarding academic service, no specific awards or honors are documented in available sources. His position as Adjunct Lecturer suggests primary industry engagement through his consultancy, though he maintains active teaching responsibilities in Bentley's Experience Design program. The absence of listed advisees or grants indicates his academic role may be primarily instructional rather than research-mentorship focused. Dr. Karis's independent research practice through Karis User Experience Evaluation represents his primary operational base for advancing both technical UX work and macro-scale collapse modeling.

Ayush Tewariمشاهده پروفایل

استادیار

• Computer Vision
• 3D Reconstruction
• Neural Rendering
• +۳ مورد دیگر

Ayush Tewari is an Assistant Professor at the University of Cambridge. Previously, he was a postdoctoral researcher at MIT CSAIL under Bill Freeman, Josh Tenenbaum, and Vincent Sitzmann, and completed his Ph.D. at the Max Planck Institute for Informatics under Christian Theobalt. His research focuses on visual perception, developing methods to infer 3D structured representations from images and videos, aiming to bridge the gap between human perceptual capabilities and machine learning systems. Key research interests include neural rendering, inverse rendering, 3D reconstruction, and generative models. Notable contributions include advancements in Neural Radiance Fields (NeRF), diffusion models for inverse problems, and human-centric perception studies. His work has been published in top venues such as SIGGRAPH, CVPR, ICCV, and NeurIPS. Recent research trends emphasize ambiguity-aware inverse rendering, stochastic inverse problem solving using diffusion models, and integrating forward models for 3D scene inference. His work on Diffusion with Forward Models (NeurIPS 2023) proposes a novel framework for solving inverse problems without direct supervision. Awards: Best Paper Honorable Mention at BMVC 2022 (VoRF: Volumetric Relightable Faces). Labs/Projects: Core contributor to the DFM (Diffusion with Forward Models) project, advancing 3D scene understanding via probabilistic methods.

Vincent Wadeمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۸ مورد دیگر

Professor Vincent Wade is a prominent academic and co-founder of the ADAPT SFI Research Centre, holding the Professorial Chair of Computer Science (established 1990) and a Personal Chair in Artificial Intelligence at Trinity College Dublin's School of Computer Science and Statistics. He co-directs the DREAL Centre for Research Training and leads ADAPT, a globally recognized centre for digital media technology and AI research. His work spans intelligent systems, personalisation, machine learning, and ethical AI applications in healthcare and education. Research interests include AI-driven personalisation, multimodal interaction, knowledge graphs, and ethical considerations in digital technologies. He has published over 350 peer-reviewed papers, earned the prestigious Provost Innovation Award (2018), and holds patents in personalisation technologies. He co-founded EmpowerTheUser, a TCD spin-out focused on simulation-based learning analytics. Major Achievements: 2018 Provost Innovation Award (Trinity College Dublin) 2010 European Language Label Award Fellow of Trinity College Dublin Over 350 scientific publications Key Contributions: Developed the ADELE corpus for social conversation analysis Pioneered cross-site personalisation frameworks Advanced adaptive e-learning systems through platforms like Slicepedia and AMASE His research bridges technical innovation with societal impact, addressing challenges in healthcare, education, and digital ethics.

• Artificial Intelligence
• Game AI
• Procedural Content Generation
• +۴ مورد دیگر

Julian Togelius is an Associate Professor at the Department of Computer Science and Engineering, Tandon School of Engineering, New York University. He co-directs the NYU Game Innovation Lab and serves as Editor-in-Chief of IEEE Transactions on Games. His research focuses on AI techniques for game design and games as testbeds for AI development, including procedural content generation, evolutionary algorithms, and player modeling. He has organized major competitions like the General Video Game AI Competition and the Mario AI Championship. Research Interests: Julian explores AI-driven game design, procedural content generation (PCG), evolutionary computation, and the intersection of games with broader AI challenges. His work spans automatic level design, opponent AI, and using games to benchmark general intelligence. He emphasizes data-driven models of player experience and integrating machine learning into game development. Organizational Activities: He has held roles including General Chair of IEEE Computational Intelligence and Games (2017), co-organizer of the General Video Game Playing Competition, and editor roles in key journals. His work also extends to music generation (MetaCompose) and data-driven game design (e.g., 'Data Adventures' from open datasets). Professional Contributions: Julian has advised numerous PhD students focusing on AI and games, published over 160 peer-reviewed works, and authored/co-authored books like Artificial Intelligence and Games (2018) and Procedural Content Generation in Games (2016). His research bridges academic rigor with practical game development, emphasizing computational creativity and interactive systems.

Ole Goetheمشاهده پروفایل

دانشیار

• Artificial Intelligence
• User Experience (UX)
• Human-Computer Interaction (HCI)
• +۵ مورد دیگر

Ole Goethe is an Associate Professor at Kristiania University of Applied Sciences within the School of Arts, Design and Media's Westerdals Department of Film and Media. He holds concurrent roles at NTNU and Nord University. His work bridges academia and industry through research in human-technology interaction, gamification, and inclusive design. Education: Executive Program in Project Management, BI Norwegian Business School (2010-2011) Master's in Motion Picture, Academy of Art University (2004-2008) Bachelor of Arts in Computer Graphics & Minor in Computer Science, Academy of Art University (1997-2002) Research Interests: Focuses on synergized human-technology interactions, inclusive design principles, and gamification applications. Specializes in creating engaging systems that promote diversity, longevity of user engagement, and accessibility. Active in HCI, service design, and AI-driven systems. His work emphasizes ethical UX practices, adaptive game mechanics, and accessibility frameworks to address societal challenges through technology. Article Trends: Recent publications explore 'Attainable Game Experiences' - a framework ensuring inclusive gaming accessibility. Explores universal design principles in XR, exergames, and gamified civic systems. Earlier work covers e-learning gamification challenges and VR embodiment theories. Awards & Recognition: Not explicitly stated in provided texts, but recognized as a Toptal verified expert in design with industry collaborations at Harvard and LucasFilm. Grants & Advising: No specific grants listed. Advised over 15 years across academia and industry, mentoring teams in SaaS, edtech, and game development. Involved in design sprints, user research, and agile methodologies. Labs & Teams: Core contributor to Kristiania's Game Development program and Excited Centre for Excellence in IT Education. Collaborates with industry on projects like Correlate (productivity app) and Picturemarks (digital humanities platform).