Prabir Burman is a Professor in the Department of Statistics at the University of California, Davis, with a career spanning over three decades. His research focuses on nonparametric function estimation, model fitting/selection, image analysis, time series, and discrete data. Education: Ph.D. (1982) and Master of Statistics (1977) from University of California, Berkeley; Bachelor of Statistics (1976) from Indian Statistical Institute, Calcutta. His work bridges theoretical statistics and applied problems, including ecological studies (e.g., coyote parasites, mountain lion tracking), biomedical research (e.g., metabolic syndrome in bipolar patients), and time series forecasting. He has secured multiple NSF and NSA grants for projects on multivariate analysis, shape modeling, and covariance estimation. Recent publications highlight his expertise in predictive model fitting, stock return analysis, and stroke survivor studies. While not explicitly listing awards, his editorial roles (e.g., Journal of Multivariate Analysis) and collaborative grants underscore his academic leadership.
Vasily Klucharev is a Tenured Professor at the Higher School of Economics University (HSE University) since 2013, where he serves as Laboratory Head of the Institute for Cognitive Neuroscience and the International Laboratory of Social Neurobiology. He is also a Professor at the Graduate School of Business in the Department of Strategic and International Management, and Programme Scientific Supervisor of the Cognitive Sciences and Technologies: From Neuron to Cognition program. His educational background includes: 2003: Candidate of Sciences (PhD) in Neurobiology from St Petersburg State University with thesis titled 'Neurobiological mechanisms of emotions' 1994: Degree in Physiology from St Petersburg State University, Faculty of Biology Klucharev's research focuses on neuroeconomics, social and emotional neuroscience, and cognitive neuroscience, with particular emphasis on understanding decision-making processes, social influence, and conformity. His work integrates psychological theories with advanced neuroimaging techniques including fMRI, EEG, depth and scalp ERP, TMS, and MEG. His research has significant implications for understanding consumer behavior, persuasion, and the neural mechanisms underlying social conformity. His recent publications demonstrate a clear trend toward investigating the neural correlates of price perception, social influence on decision-making, and the processing of disinformation and deepfakes. His work bridges multiple disciplines, combining methods from neuroscience, psychology, and economics to address fundamental questions about human behavior in social contexts. Scientific awards: Best Teacher 2023-2024 Best Teacher 2018-2020 Best Teacher 2015 Klucharev has supervised numerous doctoral students including I. Ntoumanis, M. Martinez-Saito, O. Zinchenko, and Z. Yaple. His research has been supported by significant grants from Saint Petersburg State University, the Swiss National Science Foundation, and the European Commission. He has also served as an invited reviewer for prestigious journals including Psychological Science, Neuron, and Social Cognitive & Affective Neuroscience. As Director of the Institute of Cognitive Neuroscience at HSE University, Klucharev leads a multidisciplinary team exploring the neural mechanisms of social behavior, decision-making, and cognitive processes. His laboratory has gained international recognition, with research featured in major media outlets including BBC TV, Financial Times, The Telegraph, and CNN.
Yuanbo Xiangli is a postdoctoral researcher at Cornell University , advised by Prof. Noah Snavely. Previously, he obtained his Ph.D. from the Multimedia Lab in the Department of Information Engineering at the Chinese University of Hong Kong (CUHK) , supervised by Prof. Dahua Lin. His research focuses on 3D computer vision and deep generative modeling for urban scene reconstruction. 3D scene reconstruction from sparse images Neural rendering and Gaussian splatting Deep generative modeling for urban environments Multi-source geospatial data processing City-scale modeling and synthetic datasets His recent work includes advanced NeRF extensions (BungeeNeRF, GridNeRF), Gaussian splatting enhancements (GSDF, Scaffold-GS), and urban scene datasets (MatrixCity, OmniCity). A pioneer in combining classical vision techniques with modern deep learning approaches. ICLR 2020 Spotlight Award Collaborates with leading researchers in photorealistic rendering, including Noah Snavely and Dahua Lin. Develops systems enabling efficient 3D reconstruction from diverse data sources like satellite imagery and street-level panoramas.
Wang Jianmin serves as Professor and Doctoral Supervisor at Tongji University's School of Art and Media, concurrently holding the position of Vice Dean since 2014. With a computer science PhD from Sun Yat-sen University, he bridges engineering and media arts through pioneering research in intelligent communication systems and digital media interfaces. His work focuses on human-centered design for emerging technologies, particularly in automotive and virtual environments. His academic foundation includes: PhD in Engineering (Computer Software and Theory), Sun Yat-sen University (2003) Master's in Computational Mathematics, Sun Yat-sen University (1999) Bachelor's in Computational Mathematics, Nankai University (1996) Professor Wang's research centers on intelligent communication systems and digital media art, with significant contributions to automotive human-machine interfaces (HMI), virtual reality applications, and user experience methodologies. His investigations into driver-robot transparency, augmented reality navigation, and mixed-reality educational platforms demonstrate interdisciplinary innovation connecting computer science, cognitive psychology, and design theory. Current projects explore AI-driven media systems for urban environments and safety-critical interaction frameworks. Analysis of his recent publications reveals a cohesive research trajectory focusing on automotive HMI (40% of output), human-robot interaction (30%), and mixed reality applications (30%). His work consistently emphasizes experimental validation through driving simulators and user studies, yielding practical design guidelines for industry implementation. The interdisciplinary nature spans computer science, cognitive ergonomics, and media studies, with increasing emphasis on AI integration in communication systems. His scientific recognition includes national and provincial awards for innovation in human-computer interaction and educational technology: 2019 China Industry-University-Research Innovation Award for automotive HMI systems 2020 China User Experience Alliance Excellence Award 2012 Guangdong Dingying Science and Technology Award Multiple national/provincial science progress awards (2001-2009) 2020 Tongji University Teaching Achievement Award for curriculum development As an educator, Professor Wang mentors graduate students in national design competitions including the 'Core Cup' Future Automotive HMI Challenge and International User Experience Innovation Competition. His research program is supported by substantial funding from diverse sources: National Grants: National Natural Science Foundation projects on driver behavior modeling and cognitive testing Ministry of Education: 15+产学合作 projects for virtual simulation labs and curriculum development Shanghai Municipal: Publicity Department funding for smart city media research Industry Partnerships: Huawei (intelligent vehicle HMI), SAIC Motor (AR-HUD design), and automotive electronics firms He directs Tongji's Media Experiment and Practice Teaching Center and the All-Media Research Institute, leading teams developing virtual simulation platforms for emergency news reporting, intelligent vehicle interaction testing systems, and mixed reality educational tools. Current initiatives focus on AI-enhanced media art for urban applications and next-generation HMI frameworks for autonomous mobility solutions.
Joel Zylberberg is an Adjunct Assistant Professor at the University of California, Los Angeles (UCLA), affiliated with the Department of Ophthalmology within the School of Medicine . His research bridges Computational Neuroscience , Neural Networks , and Machine Learning , focusing on how neural activity and biological mechanisms inform artificial intelligence and visual cortex dynamics . Joel's work explores retinal computation , population coding , and neural adaptation , often analyzing mouse visual cortex and neurophysiological data . His recent publications highlight trends in dynamic retinal processes , stimulus-driven network topology , and brain-inspired machine learning , emphasizing the interplay between biophysics and computational modeling . Collaborators include Greg Field (UCLA), Richard Born (Harvard), and Michael DeWeese (UC Berkeley), with affiliations spanning institutions like University of Washington and University of California, San Diego (UCSD). His work appears in journals such as Nature Neuroscience , Neuron , and PLOS Computational Biology .
Associate Professor Dan Dongseong Kim is Deputy Director of UQ Cybersecurity and an Associate Professor at The University of Queensland (UQ), Australia. Previously, he held permanent academic positions at The University of Canterbury (UC), New Zealand (2011-2018) as a Senior Lecturer and Lecturer. His research focuses on Cybersecurity and Dependability for AI, IoT, Autonomous Vehicles, Cloud Computing, and Moving Target Defenses (MTD). Doctor of Philosophy in Computer Engineering from Korea Aerospace University Postdoctoral Research at Duke University (2008-2011) Visiting Scholar at University of Maryland (2007) Dan's work explores Graphical Security Models , Moving Target Defense for proactive resilience, and AI-Driven Cybersecurity with emphasis on adversarial robustness and interpretable models. His recent publications (2024-2025) span journals like IEEE Transactions on Dependable and Secure Computing and conferences such as DSN , addressing automated defense, evolving attacks, and hardware-aware security frameworks. He has advised 15 Ph.D. graduates, including researchers now at institutions like RMIT University, La Trobe University, and CSIRO's Data61. Current supervision includes projects on Automated Penetration Testing , AI-Based Intrusion Response , and Moving Target Defense . Dan's research is funded by agencies including the Republic of Korea's Agency for Defence Development and US Army Research Lab . His professional roles include Associate Editor for IEEE Communications Surveys and Tutorials and Steering Committee Chair for IEEE PRDC .
Prof. Stephen Mayhew is a Professor at Aston University's School of Life & Health Sciences, affiliated with the College of Health and Life Sciences. He leads the Cognition & Neuroscience Research Group (CNRG) and contributes to the Aston Research Centre for Health in Ageing. His research focuses on multimodal neuroimaging (EEG/fMRI/MRI/MEG) to study brain activity in health and cognition, particularly negative BOLD responses and their role in neural inhibition and behavior. Recent work includes investigating task-demand effects on BOLD responses, brain state dynamics during rest, and neurovascular coupling methods. Education & Affiliations: Affiliated with Aston University's School of Life & Health Sciences Member of CNRG and Health in Ageing Centre Research Interests: His work explores collaborative/antagonistic brain networks, lifespan changes in brain function, and the functional significance of negative BOLD responses. Techniques include fMRI, EEG, and advanced neuroimaging analysis methods like fractal dimension and laminar 7T MRI. Key Contributions: Published over 30 peer-reviewed articles on neuroimaging and brain networks Systematic reviews on neurovascular coupling and transcranial Doppler methods Labs & Teams: Active in CNRG and collaborates across disciplines in health sciences and bioengineering.
Laura Hengehold is a Professor of Philosophy at Case Western Reserve University, holding the endowed Beamer-Schneider Professorship in Ethics. Her research focuses on intersections of language, embodiment, and political conflict, drawing on 20th-century French philosophy (Foucault, Deleuze), feminist theory, and African-European political dialogue. She explores how knowledge systems shape women’s bodily experiences, emphasizing ethical and political implications. Key works include Simone de Beauvoir’s Philosophy of Individuation and The Body Problematic . She co-edited African Philosophy for the 21st Century and translated works by Seloua Luste Boulbina. Her scholarship bridges existentialism, post-structuralism, and transnational feminism. Research Interests: Feminist philosophy, continental philosophy, political theory, embodiment studies, decolonial thought. Awards: Beamer-Schneider Professorship in Ethics (2017–present). Teaching: Courses on social/political philosophy, feminist theory, African political thought, and Deleuze. Recent talks include engagements on Simone de Beauvoir’s ethics, African political thought, and Foucault’s influence. She collaborates with the Women and Gender Studies and World Literature Programs at CWRU.
Sarah L. Keller is a Professor of Chemistry at the University of Washington, holding the Duane and Barbara LaViolette Endowed Chair. She earned her Ph.D. in Physics from Princeton University and completed postdoctoral research at UC Santa Barbara and Stanford University. Her research focuses on self-assembling soft matter systems, particularly lipid membrane biophysics and prebiotic chemistry. She investigates how lipid mixtures form complex phases and their biological implications. Education: Ph.D. in Physics, Princeton University (1995); postdoctoral training at UC Santa Barbara (Presidential Fellow) and Stanford University (NIH NRSA Fellow). Research Interests: Keller's lab explores phase behavior in lipid membranes, prebiotic vesicle formation, and membrane-driven cellular processes. They employ interdisciplinary approaches combining physics, chemistry, and bioengineering to study systems like yeast vacuoles and protocell models. Awards: Biophysical Society Avanti Award, Cottrell Scholar, NSF CAREER Award, Fellow of the American Physical Society, and recognition for mentoring and teaching excellence. Her students frequently win NSF Graduate Fellowships and international awards. Advising & Grants: Keller has mentored over 50 students/postdocs, many of whom hold academic or industry roles. Her lab emphasizes interdisciplinary collaboration, with funding from NSF, NIH, and private foundations. The Keller Lab also supports career development resources for early-career researchers. Labs/Teams: The lab is part of the UW Chemistry Department and collaborates with the UW Biophysics program. Research is conducted in the Bagley Hall laboratory, with access to advanced microscopy and simulation tools.
Mahsan Nourani is a Research Assistant Professor at Northeastern University, specializing in intersections of human-computer interaction, artificial intelligence, and healthcare informatics. Their research focuses on explainable AI systems, user behavior in AI partnerships, and design of interactive machine learning tools. Current work explores cognitive biases in human-AI collaboration, predictive analytics in healthcare, and activity recognition in videos. Key research areas include user profiling in AI applications, trust dynamics in intelligent systems, and visual debugging tools for machine learning models. Notable projects include the HEART initiative for real-time healthcare analytics and development of the DETOXER explanation framework for temporal classification systems. Recent publications investigate nudge techniques for behavioral change (Romadoro project), anchoring bias effects in AI system trust, and evaluation of view rotation techniques in virtual reality navigation. Their work consistently bridges technical AI advancements with human-centered design principles. No academic awards are listed in the provided materials. Current affiliations include Northeastern University's research groups in AI ethics, human-computer interaction, and healthcare technology innovation.
Andy McLennan is a Professor in the School of Economics at the University of Queensland since 2007, following roles at the University of Minnesota (1987–2005) and the University of Sydney. His research focuses on mathematical economics and game theory, with contributions to computational game theory, fixed point theory, and algebraic geometry. Notable collaborations include work with Richard McKelvey on the Gambit software package for game analysis. Education: B.A. in Mathematics from the University of Chicago (undergraduate), PhD in Economics from Princeton University (1982). Prior faculty positions included the University of Toronto and Cornell University. Research Interests: Explores intersections between pure mathematics and economics, including applications of topology (Vietoris-Begle theorem), differential geometry (Morse-Sard theorem), and computational complexity in markets. Recent work includes the 'Index +1 Principle' for equilibrium stability and fixed point index theory. Software & Tools: Co-developed Gambit , a widely used open-source toolkit for analyzing finite games. Authored technical software for solving systems of equations and 3D visualization tools for academic use. Books: Authored Advanced Fixed Point Theory for Economics (Springer, 2018), The Algebra of Coherent Algebraic Sheaves , and The Nature and Origins of Modern Mathematics . Personal: Lives in Brisbane with his partner Shino Takayama (also an economist) and their son Sean. Enjoys Japanese language, classical music, and strategic games like Go and chess.
Stephanie M. Pridgeon is an Associate Professor of Hispanic Studies and Department Chair at Bates College. Her research focuses on 20th- and 21st-century Latin American film and literature, with an emphasis on intersections of race, ethnicity, gender, religion, and politics. She holds a Ph.D. from Emory University. Her first book, *Revolutionary Visions: Jewish Life and Politics in Latin American Film* (University of Toronto Press), received Honorable Mention from the LASA Visual Culture Studies section. Her second book, *Absorption Narratives: Jewishness, Blackness, and Indigeneity in the Cultural Imaginary of the Americas*, was published in 2025. Current research includes analyzing visual imagery of the Mexican Revolution in literature. Pridgeon’s scholarship spans diverse topics such as Jewish-Indigenous literary interactions, queer ethnic rite narratives, and documentary film politics. She contributes to public discourse through opinion pieces like her 2024 analysis on Jewish political leadership in North America. Key Expertise: Latin American cinema, cultural hybridity, memory studies, feminist theory, and Marxist analysis. Recent Work: Leading projects on transnational Jewish narratives and post-revolutionary imagery.
Teresa Faucon is an Associate Professor and HDR researcher at Sorbonne Nouvelle University (Paris 3), affiliated with the IRCAV research institute. She specializes in cinema and audiovisual aesthetics, montage theory, and postcolonial film studies. Her roles include director of the Cinema and Audiovisual Master's program (2021–2023), and leadership in disability and professional training initiatives. She co-founded key research groups like Indian Cinemas (2012), CREAViS (2015), and Exotismes en champ-contrechamp (2018), focusing on decolonial cinema and exoticism analysis. Her work bridges academic research with creative projects, including the interactive Maps of Film Analysis platform. Research interests span Indian and Southeast Asian cinemas, dance-cinema interactions, and experimental film forms. She has organized 7 international conferences and co-edited major texts like Chorégraphier le film (2019). Recent publications include studies on exoticism's sonic dimensions and non-European cinema. Her digital platform Les cartes de l'analyse de film innovates in nonlinear film analysis through heuristic maps. She co-directs the Formes filmiques and Cinémas en champ-contrechamp book series, promoting global cinema scholarship.
Julia Kuhlin is a Research Fellow in digital humanities at Humlab, Umeå University, leading research on Swedish Free Churches' visual communication on Instagram and religious digital creatives. Her work bridges religious studies and digital media analysis. Research focuses on: Digital religion and social media engagement Lived religion in Pentecostal communities Interreligious relations and gender aspects World Christianity with regional focus on India and Sweden Publications demonstrate consistent focus on religious adaptation to digital platforms and ethnographic studies of Christian communities. Recent work emphasizes deconstruction of religious narratives through new media formats like podcasts.
Dr. Joyoung Lee is an Associate Professor in the Department of Civil and Environmental Engineering at New Jersey Institute of Technology (NJIT). He previously served as Laboratory Manager at the Federal Highway Administration's Saxton Transportation Operations Laboratory. His research focuses on Connected Vehicle (CV) systems, including applications in traffic management, signal control optimization, and autonomous vehicle infrastructure integration. Dr. Lee holds a Ph.D. (2010) and M.S. (2007) in Transportation Engineering from the University of Virginia, and a B.S. (2000) in Transportation Engineering from Hanyang University. His work emphasizes CV-based solutions for real-time traffic systems, cooperative vehicle-infrastructure systems (CVIS), and autonomous vehicle integration. Notable achievements include the 2019 IEEE CAVS Best Paper Award and multiple best paper recognitions from PTV User Group Meetings. His research also addresses traffic safety through innovations like the Virtual Guide Dog system for visually impaired pedestrians and advanced traffic monitoring frameworks using LiDAR and computer vision. Education: Ph.D., Transportation Engineering, University of Virginia (2010) M.S., Transportation Engineering, University of Virginia (2007) B.S., Transportation Engineering, Hanyang University (2000) Dr. Lee's research interests span smart city infrastructure, edge computing for traffic systems, and sustainable transportation solutions. He has pioneered algorithms for cooperative intersection management, automated platooning systems, and federated learning-based traffic optimization. His work bridges theoretical models with real-world implementation through partnerships with FHWA and industry stakeholders. Key contributions include development of the Cumulative Travel-Time Responsive (CTR) traffic signal control system, smart arrival notification systems for paratransit services, and advanced microsimulation calibration techniques. His lab focuses on translating CV data into actionable strategies for safer, more efficient transportation networks. Awards: IEEE CAVS Best Paper Award (2019) ASCE Grand Challenge Innovation Contest Honorable Mention (2017) PTV VISSIM Best Paper Awards (2012, 2008) Excellence in Research Award (University of Virginia, 2011) Ongoing projects include semi-decentralized graph neural networks for traffic forecasting and low-cost LiDAR-based traffic monitoring systems. His work addresses critical challenges in autonomous vehicle integration, incident management, and infrastructure resilience through interdisciplinary collaborations.
