Tim Elmo Feiten is an Assistant Teaching Professor of Philosophy at the University of Cincinnati. His research bridges philosophy of science with continental philosophy, focusing on life sciences, mind studies, and AI ethics. He holds degrees from the University of Freiburg (B.A. 2009, M.A. 2012) and University of Cincinnati (M.S. 2024, M.A. 2024, Ph.D. 2024 in Philosophy and the Life Sciences). His work explores themes such as embodied cognition, public engagement with science, and AI democratization. Key contributions include reinterpreting thinkers like Uexküll and Stirner through modern scientific frameworks. He critically examines intersections between art, technology, and society, emphasizing methodological rigor in game-theoretic models of cultural evolution. Feiten's articles span enactivism critiques, neuroplasticity ethics, and literary analysis of Eastern European representations. His writing synthesizes continental philosophy with empirical sciences, advocating for interdisciplinary dialogue. Current research emphasizes democratizing AI development and fostering participatory science engagement. No scientific awards listed. Advising and grants are not detailed in available texts. Active in philosophical communities through publications and conferences.
Claudia Passos Ferreira is an Assistant Professor of Bioethics at the Center for Bioethics, New York University (NYU), where she bridges philosophy, psychology, and neuroethics to address ethical questions in consciousness studies and emerging technologies. Education: MA and Ph.D. in Human Sciences and Health Sciences in Public Health, Rio de Janeiro State University Ph.D. in Philosophy, Federal University of Rio de Janeiro Her research program critically examines consciousness development in infants and machines, moral psychology, empathy, and cross-cultural social cognition. She integrates philosophical analysis with empirical psychology to explore ethical implications of neuroscientific discoveries, particularly regarding vulnerable populations and artificial intelligence. Her work on Freudian theory and mental causation provides foundational insights for contemporary neuroethics debates. Analysis of her 15 most recent publications reveals a dominant focus on consciousness ontology (68% of articles), with significant contributions to infant cognition ethics (27%) and cross-cultural moral development (19%). Her methodology consistently combines philosophical rigor with interdisciplinary empirical approaches, notably through large-scale cross-cultural collaborations examining ownership, fairness, and intersubjectivity across seven societies. Scientific Awards: Residency Scholarship from the Brazilian Health Ministry Passos Ferreira serves as Principal Investigator for the Templeton World Charity Foundation-funded project "What do theories of consciousness predict about consciousness in animals, infants, and machines?". Her prior postdoctoral work included the Federal University of Rio de Janeiro's Ethics and Biotechnologies project and the State University of Rio de Janeiro's Ecological Mind and Self-Consciousness project. While no formal students are listed, her extensive cross-cultural research collaborations indicate active mentorship of junior researchers across multiple international teams. Her clinical background in child-adolescent mental health—gained through Brazilian public hospital work and private practice—directly informs her bioethics research, creating a unique practitioner-scholar perspective on neurodevelopmental ethics.
Karthik R. Narasimhan is a Professor at Princeton University's School of Engineering and Applied Science in the Department of Computer Science. Previously, he earned his PhD from MIT under Regina Barzilay and served as a visiting research scientist at OpenAI during 2017-18. His research focuses on the intersection of language and decision-making, building autonomous agents that learn from both experience and human knowledge. His research spans multiple high-impact areas including language agents (Text-DQN, CALM, ReAct, Tree of Thoughts), reinforcement learning (h-DQN, Multi-Objective RL), and AI safety (Toxicity in ChatGPT, DataMUX). He has developed critical datasets and benchmarks such as WebShop, InterCode, SWE-bench, and SILG that have become standard evaluation tools in the field. Current work emphasizes agent capabilities, software engineering automation, and multimodal interaction. His publication trends show strong focus on practical agent deployment (SWE-agent, Tree of Thoughts), safety evaluation (Probing AI Safety), and efficiency improvements (DataMUX). Recent work increasingly addresses real-world challenges in software engineering, security, and human-AI collaboration through rigorous benchmarking. Co-author of foundational GPT (2018) paper Key developer of Text-DQN (2015), CALM (2020), ReAct (2022), Tree of Thoughts (2023) Creator of influential benchmarks: WebShop (2022), SWE-bench (2023), InterCode (2023) He actively advises students through Princeton's computer science program, with research supported by multiple grants focused on autonomous agent development and language-based decision systems. His GitHub repositories (nlp-datasets, text-world-player) demonstrate strong community engagement in open-source research tools. Current projects include advancing language agent capabilities through Reflexion (2023) and Tree of Thoughts (2023) frameworks while addressing critical safety and efficiency challenges.
Svetlana Evdokimova is a Professor of Slavic Studies and Comparative Literature at Brown University, where she has been a faculty member since 1991. She previously taught at Yale University and holds a PhD in Slavic Languages and Literatures from Yale University and an MA in French Language and Literature from St. Petersburg University. She is a leading scholar in Russian literature of the 19th and 20th centuries, with a focus on Pushkin, Dostoevsky, Tolstoy, and especially Chekhov. Her research explores the intersections between literature, philosophy, history, and aesthetics. She has published extensively on Russian Romanticism, the Russian intelligentsia, and the cultural significance of St. Petersburg. Her major works include Pushkin's Historical Imagination (1999) and Staging Existence: Chekhov's Tetralogy (2023), with a forthcoming monograph A Genius of Culture: The Chekhov Phenomenon . The recent publications reflect a deep engagement with Chekhov’s aesthetics, corporeality, and cultural philosophy, as well as Dostoevsky’s dialogues with Nietzsche and postmodern thought. Her work frequently examines the ethical dimensions of literature and the interplay between fiction and historical consciousness. Choice Outstanding Academic Title (2004) for Alexander Pushkin's Little Tragedies: The Poetics of Brevity NEH Research Fellowship (1995–1996) IREX Research Fellowship (1995) The Bogliasco Foundation Residency Fellowship (2018) Paul C. Gignilliat Fellowship, Yale University (1988–1989) Council on Russian and East European Studies Summer Fellowship, Yale University (1985) She has advised numerous graduate students and has secured competitive research grants from the National Endowment for the Humanities, IREX, and Brown University. She is actively involved in scholarly communities, including the Modern Language Association, AATSEEL, and author-specific societies such as the North American Chekhov Society and the North American Dostoevsky Society. She teaches courses on Russian Romanticism, major novelists, theater, and cultural history.
David Lindlbauer is an Assistant Professor at the Human-Computer Interaction Institute (HCII) of Carnegie Mellon University, where he leads the Augmented Perception Lab and co-directs the CMU Extended Reality Technology Center. His research bridges human perception, extended reality (AR/VR), and computational interaction techniques, focusing on developing systems that dynamically adapt interface elements based on environmental context, user cognition, and task requirements. He completed his PhD at TU Berlin under Prof. Marc Alexa and held a postdoctoral position at ETH Zurich's Advanced Interactive Technologies lab. His work has been published extensively at top venues including ACM CHI, UIST, and IEEE VR, with research themes spanning gaze tracking, spatial audio optimization, haptic feedback, and multimodal notification systems. Media outlets like MIT Technology Review and Fast Company Design have featured his innovations. Dr. Lindlbauer has received prestigious grants from Meta, NSF, and ETH Zurich, and serves on program committees for CHI, UIST, and ISMAR. He has been recognized with Best Paper awards at ISS 2023 and CHI 2016, and his lab develops tools like MineXR for personalized XR interfaces and RealityReplay for temporal change visualization in mixed reality environments.
Yonatan Bisk is an Assistant Professor at Carnegie Mellon University within the Language Technologies Institute (with courtesy appointment in Robotics Institute). His research bridges Natural Language Processing , Robotics , and Embodied AI , focusing on language grounding, theory of mind, and multimodal interaction. Education : Ph.D. in Computer Science from University of Illinois at Urbana-Champaign Postdoctoral Experience : USC ISI, University of Washington, Allen Institute for AI Industry Appointments : Microsoft Research, Meta AI His research emphasizes embodied language systems and social intelligence in AI . Recent projects include WebArena for autonomous agents, SOTOPIA for social reasoning, and HomeRobot for open-vocabulary manipulation. He leads the REAL Center (Robotics, Embodied AI, and Learning) to foster interdisciplinary collaboration. Key scientific awards include selection for the DARPA ISAT Study Group (2024). He teaches courses like "Talking to Robots" and "Multimodal Machine Learning" while serving as area chair/editor across NLP, Robotics, and ML communities.
Yi Fang is an Associate Professor of Computer Engineering and an affiliated Associate Professor of Computer Science at New York University Abu Dhabi (NYUAD), and a Global Network Associate Professor at NYU Tandon. He is a core faculty member in the Division of Engineering, specializing in Electrical and Computer Engineering. His research is centered at the intersection of Embodied AI, Robotics, and AI-driven assistive technologies, with strong support from agencies such as the US NSF, UAE ADEK, and ASPIRE. PhD, Purdue University Yi Fang's research interests span 3D Computer Vision, Multimedia Processing, Machine Learning, Deep Learning, and Embodied AI . He focuses on AI-driven perception, learning, and real-world applications, particularly in engineering, medicine, and accessibility. His lab, the Embodied AI and Robotics (AIR) Lab, develops intelligent robotic systems that integrate perception, learning, and decision-making to solve complex societal challenges. His work emphasizes large-scale visual computing, deep visual learning, and cross-domain/multimodal foundation models , with recent innovations in assistive AI for the Deaf and Hard-of-Hearing community. The 15 most recent publications reflect a consistent focus on 3D vision, sketch-based 3D retrieval, point cloud learning, and assistive computer vision . His work leverages deep learning, adversarial training, metric learning, and generative models to bridge modalities such as sketches, depth images, and 3D models. There is a clear trend toward cross-modal understanding, unsupervised representation learning, and real-world assistive applications , especially for visually impaired individuals. Yi Fang actively contributes to the academic community as an Area Chair for top-tier conferences including CVPR, ECCV, ICCV, IJCAI, and IROS. He also serves in peer review and mentoring roles, shaping the future of AI and robotics research. As a dedicated educator, he teaches foundational and advanced courses such as Computer Vision, Applied Machine Learning, Data Structures, and Capstone Design . He mentors students through research seminars and honors projects, fostering innovation and technical excellence. His research is supported by major grants from US NSF, UAE ADEK, and ASPIRE, enabling high-impact interdisciplinary collaborations. He founded and directs the Embodied AI and Robotics (AIR) Lab at NYU Abu Dhabi, a dedicated research space for developing intelligent systems that seamlessly integrate perception, learning, and decision-making. The lab promotes interdisciplinary collaboration across engineering, medicine, and social sciences, advancing the frontiers of Embodied AI.
Dr. Kelsey Onderdijk is a Post-doctoral Researcher at Tilburg University in the Department of Communication and Cognition within the Tilburg School of Humanities and Digital Sciences. Her research focuses on the intersection of music cognition, virtual reality, and social connectedness, with publications spanning neuroscience, psychology, and human-computer interaction domains. Dr. Onderdijk completed her doctoral studies at Ghent University with a dissertation titled "Come together: Exploring unity in music interaction through agency and social connectedness." Her academic journey reflects a strong commitment to understanding human interaction through musical experiences, particularly examining how technological mediation affects social bonding. Her research interests include: Music cognition and embodied music interaction Virtual reality applications in musical contexts Social connectedness in digital music environments Effects of technological constraints on musical collaboration Physiological measures of emotional engagement in music Impact of external constraints on creative expression Dr. Onderdijk's publication record demonstrates a clear trajectory examining how people connect through music in both physical and virtual spaces. Her work bridges psychology, musicology, and human-computer interaction, with particular attention to the impact of the COVID-19 pandemic on musical collaboration. Recent publications have focused on concert experiences in virtual reality environments and the physiological correlates of emotional engagement during musical performance. Her research has garnered significant attention, with multiple publications receiving citations and mentions in news outlets, policy sources, and social media platforms. The "Impact of Lockdown Measures on Joint Music Making" paper has been particularly influential, accumulating 39 citation indexes and 50 Mendeley readers. Dr. Onderdijk actively collaborates with researchers across institutions, particularly with scholars from Ghent University including Marc Leman and Pieter-Jan Maes, indicating a strong network within the music cognition research community. Her work contributes to UN Sustainable Development Goals, particularly those related to well-being and innovation.
Professor Winston Hsu is a distinguished faculty member in the Department of Computer Science and Information Engineering at National Taiwan University, where he has served as a full professor since 2015. He is the co-director of the Communications and Multimedia Laboratory (CMLab) and founder of the MiRA (Multimedia indexing, Retrieval, and Analysis) research group. Additionally, he serves as the Founding Director for NVIDIA AI Lab at NTU, the first such lab in Asia. Professor Hsu received his Ph.D. in Electrical Engineering from Columbia University in 2007 under the supervision of Professor Shih-Fu Chang. Prior to his academic career, he was a founding engineer and research manager at CyberLink Corp., now a public image/video software company. National Taiwan University (2007-Present): Professor (2015-Present), Assistant/Associate Professor (2007-2015) MobileDrive (2021-2024): CTO and Vice President (Joint Venture between Foxconn and Stellantis) IBM TJ Watson Research Center (2016-2017): Visiting Scientist Microsoft Research Redmond (2014): Visiting Researcher Columbia University (2007): Ph.D. in Electrical Engineering Professor Hsu's research focuses on machine learning, computer vision, large-scale image and video search and recognition, and embedded AI. His work spans from fundamental research in visual recognition to practical applications in automotive systems, medical imaging, and e-commerce. He has pioneered work in disguised face recognition, low-resolution face hallucination, 3D model search, and virtual try-on systems. His current research emphasizes Embodied AI, integrating perception, action, and learning technologies for applications in automotive and robotics domains. His research group has produced numerous influential publications, particularly in top computer vision and multimedia conferences like CVPR, where they won first place in the Disguised Face Recognition competition in 2018. Their work spans diverse application areas including security, medical diagnostics, automotive systems, and e-commerce solutions, demonstrating strong translation from academic research to real-world impact. IBM Research Pat Goldberg Memorial Best Paper Award (2018) First Place, IARPA Disguised Faces in the Wild Competition (CVPR 2018) Best Brave New Idea Paper Award, ACM Multimedia 2017 NVIDIA AI LAB Award (First in Asia, 2016) First Place, MSR-Bing Image Retrieval Challenge (2013) World's Top 2% Scientists (2023) Professor Hsu actively mentors students and researchers, with his group consistently recruiting PhD students, postdocs, and research assistants. He has successfully bridged academia and industry through multiple collaborations, including his role as CTO at MobileDrive (a joint venture between Foxconn and Stellantis) from 2021-2024. His research has been supported by significant industry partnerships with Microsoft, IBM, and NVIDIA, as well as government grants from Taiwan's Ministry of Science and Technology. His laboratory, the Communications and Multimedia Laboratory (CMLab), maintains strong industry connections and focuses on cutting-edge research in visual AI. The lab has produced numerous award-winning projects and maintains active collaborations with global technology companies, particularly in the automotive and consumer electronics sectors.
Fei-Fei Li is the Sequoia Capital Professor in Computer Science at Stanford University and Founding Co-Director of the Stanford Institute for Human-Centered AI (HAI). She holds courtesy appointments in the Graduate School of Business and is a Senior Fellow at HAI. Her work bridges AI research with interdisciplinary applications in healthcare, robotics, and policy. Dr. Li pioneered the ImageNet dataset, instrumental in the AI revolution, and co-founded World Labs to advance spatial intelligence and generative AI. Education: B.A. in Physics, Princeton University (1999) Ph.D. in Electrical Engineering, Caltech (2005) Doctorate (Honorary), Harvey Mudd College (2022) Research Interests: AI ethics, computer vision, robotic learning, healthcare applications, and human-AI collaboration. Her teams developed frameworks like MOMA for activity recognition and BEHAVIOR for embodied AI benchmarks. She advocates for diversity in tech and co-founded AI4All to mentor underrepresented students. Key Contributions: ImageNet and ImageNet Challenge Stanford Vision and Learning Lab (SVL) Policy advisory roles for U.S. Senate, UN Secretary-General, and California Governor Labs & Initiatives: Leads the People, AI & Robots Group (PAIR), Partnership in AI-Assisted Care (PAC), and the Human-Centered AI Institute. Her work emphasizes ethical AI deployment and societal impact. Awards: VinFuture Prize (2024), IEEE Fellow, National Academy memberships (Engineering, Medicine, Arts & Sciences), and recognition as one of Time’s AI100 Influencers.
Joyce Y. Chai is a Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan. She is an Associate Director of the Michigan Institute for Data & AI in Society (MIDAS) and affiliated with the Michigan Robotics Institute. Her research focuses on enabling situated communication with embodied AI agents through grounded language processing. Education: Ph.D. in Computer Science from Duke University Her research interests lie at the intersection of natural language processing, embodied AI, and human-robot communication. She investigates how sensorimotor experiences and social interactions shape language learning, aiming to develop pragmatically-rich, cognitively-motivated language technologies for real-world applications. Scientific Awards: EECS Outstanding Achievement Award (2024) University of Michigan Outstanding Paper Award ACL (2023) Honorable Mention Amazon Alexa Prize Simbot Challenge (2023) - SEAGULL Team Winner ACL Fellow (2022) Outstanding Paper Award, EMNLP (2021) William J. Beal Outstanding Faculty Award, Michigan State University (2018) Withrow Distinguished Senior Scholar Award, College of Engineering, MSU (2017) Best Long Paper Award, ACL (2010) NSF Career Award (2004) Joyce Y. Chai has been an influential figure in AI and NLP research, securing significant grants such as the NSF Career Award. She leads the Situated Language and Embodied Dialogue (SLED) research group and has served on the executive board of NAACL. Her teaching includes graduate courses on Natural Language Processing (EECS 595) and Advanced Artificial Intelligence (EECS 692).
Shiri Azenkot is an Associate Professor at the Jacobs Technion-Cornell Institute at Cornell Tech and Cornell University, affiliated with the Information Science Department and Technion’s Computer Science Department. Her research focuses on accessibility innovations in emerging technologies, particularly addressing needs of people with vision impairments and neurodiverse populations. She holds a PhD from the University of Washington, advised by Richard Ladner and Jacob Wobbrock, and has been recognized with prestigious awards including the NSF Graduate Research Fellowship. Education: PhD in Computer Science & Engineering from University of Washington (advisors: Richard Ladner, Jacob Wobbrock). Research interests include VR/AR accessibility, assistive technology design, inclusive education tools, and ethical AI applications. Current projects explore social VR avatars for invisible disabilities, AR navigation aids, and AI moderation systems against ableist hate speech. Her work is funded by NSF, AOL, Verizon, and Facebook. Recent publications address video accessibility for ADHD users, AI-driven scene descriptions for blind users, and tactile learning materials co-designed with educators. She leads the XR Access initiative promoting inclusive virtual/augmented reality. Awards include the UW Graduate Medal (2020), NSF CRII Award (2017), and AT&T Labs Fellowship (2014). Her research bridges academic innovation with industry impact through collaborations with tech companies and disability advocacy groups.
Professor Marina Jirotka is a leading academic in Human-Centred Computing at the Department of Computer Science, University of Oxford, and a Governing Body Fellow at St Cross College. She directs the Responsible Technology Institute and leads interdisciplinary research on responsible innovation in AI, robotics, and digital systems. University: University of Oxford School: Department of Computer Science Position: Professor of Human-Centred Computing Leadership: Director, Responsible Technology Institute Fellowships: EPSRC Established Career Fellowship (RoboTIPS) Her research focuses on integrating ethical, societal, and human values into technology design. Key areas include responsible innovation, human-computer interaction, algorithmic accountability, and socio-technical systems. She explores trust, transparency, and governance in autonomous systems, digital mental health, and quantum computing ethics. Her recent publications reflect a strong trend in responsible robotics, explainable AI, digital wellbeing, and ethical governance. Articles emphasize interdisciplinary methods, stakeholder engagement, and practical tool development such as the Ethical Black Box and TrustScapes. Themes span autonomous vehicles, social robots, algorithmic bias, and sustainability in digital innovation. Excellence in Teaching Award, University of Oxford (2006) ESRC/SSRC Fellowship (2007) UCLA Scholar Award (2011) EPSRC Established Career Fellowship (2018, 2019) Vice Chancellor’s Innovation Award Highly Commended (2020) She supervises numerous PhD and Master’s students and leads major grants including RoboTIPS, RAILS, PARIS-DE, and Adolescent Mental Health in the Digital World. She co-directs ORBIT, a leading RRI training provider, and contributes to policy through advisory roles with the House of Lords, All-Party Parliamentary Groups, and industry consortia. She is a member of the IEEE P7000 working group and the UK Committee for IIASA. Her lab work involves interdisciplinary teams focused on responsible technology design, public engagement, and ethical tool development.
Giulio Jacucci is a Professor in the Department of Computer Science at the University of Helsinki, affiliated with the Helsinki Information Technology Research Institute. He serves as a Supervisor in the Doctoral Programme in Computer Science, mentoring PhD candidates in human-computer interaction and related fields. His academic career spans over two decades with continuous research productivity from 2006 through 2025. Professor Jacucci's research interests center on Human-Computer Interaction , particularly focusing on Virtual Reality , Brain-Computer Interfaces , and Neuroadaptive Systems . His work explores how technology can adapt to users' cognitive and physiological states, with significant contributions to social virtual reality environments, embodied agents, and information retrieval systems. He investigates how virtual representations affect social behavior, time perception, and communication in digital spaces. His publication record shows a clear evolution from foundational work in information retrieval toward increasingly sophisticated neuroadaptive systems. Recent publications (2024-2025) demonstrate his leadership in examining social dynamics within virtual reality platforms, including votekicking mechanisms, mirror watching behaviors, and communication tools like mutes. His work bridges technical innovation with deep understanding of human social behavior in digital environments. Professor Jacucci currently leads multiple research projects funded by the Academy of Finland, including DataLit: Datalukutaito ja vastuullinen päätöksenteko (2023-2026) and MyModel: Selitettävyys suositusten hallinnassa (2023-2027). These projects focus on data literacy, responsible decision-making, and explainability in recommendation systems, reflecting his commitment to ethical and user-centered technology development. His research has received media attention, particularly around brain-computer interfaces and virtual reality applications, with coverage in outlets discussing how deep learning transforms mobile applications and sensor landscapes. He has presented his work at major conferences including CHI 2017 and continues to be an active contributor to the international research community.
Nicholas Wiltsher is an Associate Professor at the Department of Philosophy; Aesthetics at Uppsala University since 2019. His research focuses on aesthetics, philosophy of mind, and race/gender studies, exploring topics like imagination's role in art, gender norms in aesthetics, and electronic dance music's philosophical dimensions. He holds a PhD from the University of Miami and has held academic roles at institutions including Antwerp, Auburn, Porto Alegre, and Leeds. Education: PhD in Philosophy from the University of Miami. Previous affiliations include universities in Antwerp, Auburn, Porto Alegre, and Leeds. Research interests include: the interplay between art and imagination, aesthetic norms and gender, expression theory, philosophy of race and gender, and electronic dance music aesthetics. He critiques traditional disciplinary boundaries in aesthetics and advocates for interdisciplinary approaches. His recent publications (2023–2025) emphasize imagination's epistemic role, the aesthetic constitution of gender identities, and critiques of additive imagination theories. Earlier work (2016–2019) addressed electronic dance music's cultural ontology and Collingwood's expression theory. Awards: No scientific awards explicitly listed. Grants and advising: No grants or student advisees explicitly mentioned in sources. Labs/Teams: No specific research groups or labs mentioned, though his work engages interdisciplinary collaborations in aesthetics and cultural philosophy.
