Mennatallah El-Assady is an Assistant Professor at the Department of Computer Science, ETH Zurich, leading the Interactive Visualization and Intelligence Augmentation Lab (IVIA). Prior roles include research fellow at ETH Zurich's AI Center, research associate and doctoral student at the University of Konstanz (Germany) and OntarioTech University (Canada). Her research focuses on integrating data mining, machine learning, and visual analytics for text data, with applications in explainable AI, digital humanities, computational linguistics, and political communication analysis. Key projects include explAIner (interactive explainable ML), LingVis (linguistic visualization), and VisArgue (rhetorical analysis in debates). Notable scientific awards include the Best Paper Award and Honorable Mention at IEEE VIS and ACM TIIS. Her work spans interdisciplinary collaborations, particularly bridging visualization techniques with social sciences and musicology. Labs and teams highlight her leadership at IVIA and partnerships with institutions in Switzerland, Germany, and Canada.
Srđan Divac is a Teaching Assistant at the Department of General Electrical Engineering and Electronics within the Faculty of Technical Sciences, University of Kragujevac . He earned his PhD in 2025 (average grade: 9.88) after completing his master's (2018, grade: 10) and bachelor's (2017, grade: 9.67) studies at the same institution. His research focuses on: Numerical methods in electromagnetics Measurement uncertainty analysis for electrical machines Dynamic hysteresis modeling in ferromagnetic materials Harmonic interpolation techniques for nonlinear circuits Instantaneous magnetisation power analysis Equivalent circuit parameter estimation Key article trends include simulation of magnetic hysteresis loops, electromagnetic computation for power systems, and advanced modeling of ferromagnetic and permalloy materials under varying excitation frequencies. His work appears in journals like Applied Sciences and Energies , as well as conferences such as IcETRAN and PES .
Mathias Kirchner is a Researcher at the University of Natural Resources and Life Sciences, Vienna (BOKU), affiliated with the wZGWN Centre for Global Change and Sustainability. Currently on parental part-time status (available Mondays and Wednesdays), he contributes to teaching and research in climate change economics, with a focus on policy-relevant modeling for Austrian sustainability transitions. His research spans : Climate Change Economics (CO2 pricing, decarbonization pathways) Environmental Policy (land use, stakeholder integration) Social Equity (distributional impacts, poverty assessments) Integrated Assessment Modeling (system dynamics, multi-model approaches) Work emphasizes Austrian contexts while addressing global challenges like SDG implementation and climate justice. Recent publications (2022-2025) reveal three dominant trends : (1) Economic modeling of carbon taxation with focus on revenue recycling and triple dividends, (2) Social equity analyses of decarbonization in housing/mobility sectors, and (3) Stakeholder-driven methodologies for SDG pathway validation. Key subfields include distributional impacts across income groups, land-use change under climate scenarios, and causal loop diagram applications. Dr. Kirchner operates within the wZGWN Centre for Global Change and Sustainability , an interdisciplinary hub at BOKU addressing climate adaptation, resource management, and policy coherence through integrated modeling approaches that bridge natural and social sciences.
Kees Lokman is an Associate Professor and Chair of Landscape Architecture at the University of British Columbia (UBC) School of Architecture and Landscape Architecture. His research addresses design challenges related to sea level rise adaptation, water/food shortages, and energy transitions, with a focus on community values. He directs the UBC Coastal Adaptation Lab and leads the transdisciplinary project Living with Water , funded by the Pacific Institute for Climate Solutions. Education: MDesS, Harvard Graduate School of Design MSc, Wageningen University BSc, Wageningen University His work intersects coastal adaptation, urban ecology, and climate-resilient design, emphasizing collaboration with Indigenous communities and governmental stakeholders. Research outcomes have been published in journals like Journal of Landscape Architecture and Landscape Research . Scientific Trends: Recent articles explore fluid geographies, flood-resilient landscapes, and integrating Indigenous knowledge into coastal adaptation. Key subfields include design frameworks for uncertainty, GIS-based risk visualization, and urban metabolism applications. Awards & Funding: CELA 2019 Excellence in Research and Creative Work Award (Junior Level) Natural Resources Canada Social Sciences and Humanities Research Council Creative Industries Fund NL Hampton New Faculty Grant Professional Practice: He has practiced at Piet Oudolf’s office in the Netherlands and Terry Guen Design Associates in Chicago, and founded Parallax Landscape . His lab collaborates with Squamish and Tsleil-Waututh First Nations on coastal flooding solutions.
Andrew S. Gordon is a Research Associate Professor of Computer Science at the University of Southern California and Director of Interactive Narrative Research at the Institute for Creative Technologies. His work integrates artificial intelligence, cognitive science, and interactive storytelling to create systems that automatically interpret and generate narrative structures, with a special focus on commonsense reasoning and abductive inference. Education Ph.D. in Computer Science, Northwestern University, 1999 Research Interests Gordon’s research converges on computational narrative intelligence . He develops formal models of commonsense psychology that enable machines to reason about human intentions, beliefs, and emotions. His group designs interactive narrative systems for training and education, builds large-scale story corpora, and pioneers abductive reasoning techniques that combine symbolic logic and statistical learning to interpret temporal data. Recent work explores how large language models can be guided to co-create interactive fiction and how vision–language models can be benchmarked for causal understanding. Publication Trends Across more than two decades, his publications reveal consistent themes: (1) foundational theories of commonsense psychology and strategy representation, (2) narrative technologies that blend AI planning with human creativity, and (3) practical training simulations for defense and education. The 2024-2025 papers highlight a pivot toward evaluating and steering large language models for narrative tasks, while earlier work established abductive reasoning frameworks such as “Etcetera Abduction.” Awards & Honors Best Paper Award, System Lifecycle and Technologies Track, Simulation Interoperability Standards Organization (SIW 2021) Advising & Grants He has successfully mentored three PhD students—Reid Swanson (2010), Christopher Wienberg (2017), and Melissa Roemmele (2018)—whose dissertations span computational narrative, commonsense reasoning, and interactive fiction. His research has been continuously supported by agencies including the U.S. Army, DARPA, and NSF for projects on virtual training environments, narrative-centered learning, and large-scale commonsense knowledge acquisition. Labs & Teams Gordon directs the Interactive Narrative Research Group at USC’s Institute for Creative Technologies, where interdisciplinary teams of computer scientists, cognitive psychologists, and interactive media designers collaborate on systems such as the Rapid Integration & Development Environment (RIDE) for embodied conversational agents and story-driven training simulations.
Professor Paul Blackwell is a faculty member at the University of Sheffield within the School of Mathematical and Physical Sciences . His academic work focuses on Bayesian statistics , statistical ecology , and inference for stochastic processes , applied to disciplines including environmental science, archaeology, and marine biology. His recent research involves animal movement modeling using continuous-time Bayesian frameworks , radiocarbon calibration for archaeological dating, and ecological uncertainty quantification . Publications span Bayesian computation , habitat selection , and ecosystem dynamics , with applications in reindeer behavior , coral reef resilience , and fisheries management . He contributes to Bayesian methodology for ecological and environmental modeling , integrating stochastic processes with real-world data . His projects often involve interdisciplinary collaboration, particularly with marine and climate scientists .
Dr Devin G. Ray is a Lecturer in the School of Psychology at the University of Aberdeen, located in the William Guild building, office S05. His research centres on person perception and person memory, with particular attention to face recognition, impression formation, prejudice, and group processes. More recently, his work has explored the social consequences of remembering and forgetting during interpersonal interaction. Research Interests Person perception and memory Face recognition and categorization Impression formation and prejudice Group processes and intergroup relations Social consequences of memory and forgetting Across over 20 peer-reviewed publications spanning 2007–2025, Dr Ray has investigated how memory functions not only as a cognitive process but also as a social signal. His studies reveal that forgetting can communicate interpersonal importance, that uncertainty about category membership impairs face recognition, and that social comparisons in learning contexts can both hinder and enhance knowledge exchange. Scientific Awards None explicitly mentioned in the provided text. Advising & Grants No specific doctoral or master’s students, research grants, or funded projects are listed in the supplied material. Laboratories & Teams Information about dedicated laboratories, research teams, or group affiliations beyond the School of Psychology is not provided.
Michael Bruter is a tenured Professor of Political Science and European Politics at The London School of Economics and Political Science (LSE), where he has been a faculty member since 2001. His research focuses on electoral psychology, European identity, political communication, and public opinion dynamics. PhD in Political Science, University of Houston (2001) DEA in European Political and Economic History, University of Bordeaux (1998) MA in European Studies, University of Hull (1997) Bruter's work explores the psychological dimensions of voting behavior, the evolution of European identity, and the role of media and symbols in political perception. His research often combines experimental methodologies with comparative political analysis, addressing topics like youth political engagement, extreme right ideologies, and the emotional mechanics of electoral decision-making. Recent publications emphasize affective dimensions of political behavior, institutional communication, and transnational identity formation. Key themes include electoral psychology, European integration challenges, and media-driven identity construction. Best International Research Award, Market Research Society (2013) Shortlisted for Best International Research Award, Market Research Society (2014) He has advised 10 PhD students on topics ranging from extreme right politics to migrant political attitudes. Bruter directs the Electoral Psychology Observatory, a research team conducting experiments on voter behavior, including polling booth dynamics and electoral experience effects.
Malaika Brengman serves as a Senior Lecturer and postdoctoral researcher at the Free University of Brussels, specializing in consumer behavior within retail contexts. Her academic work bridges Communication Sciences, Business Studies, and Media Innovation through interdisciplinary research on digital retail environments. Her research focuses on consumer decision-making processes in physical and virtual retail spaces, with particular expertise in trust formation, digital signage effectiveness, and the psychological impact of emerging technologies. Key interests include: How virtual worlds influence retail appeal and consumer threat perception The relationship between store environment design and initial trust development Implicit measurement techniques for assessing service experiences Consumer responses to AI-driven personalization in retail settings Analysis of her recent publications reveals a strong emphasis on augmented reality applications, vaccine attitude segmentation, and social media addiction pathways, demonstrating methodological diversity across behavioral experiments and large-scale consumer surveys. Her scientific contributions have been recognized through multiple awards including the Best Conference Paper Award (2010), Best Extended Abstract Award (2020), and a Highly Commended Paper distinction (2016). These accolades highlight her impact in retail technology and consumer psychology research. Brengman actively supervises doctoral candidates and serves on PhD committees, with documented supervision of at least 153 academic works. She frequently engages with media as an expert on consumer finance topics, particularly regarding energy pricing impacts and savings behaviors during economic uncertainty. Her current projects include Brubotics (human-centered robotics) and SHALGO (algorithmic systems research). She maintains significant external engagement through advisory roles in consumer protection initiatives and regular media commentary on retail trends and consumer behavior patterns.
Pascal Morin serves as a University Professor at Sorbonne University within the Faculty of Science and Engineering. He is an active member of the ASIMOV research team at the Intelligent and Robotic Systems Institute (ISIR), located at 4 Place Jussieu in Paris. His office H17 serves as the base for his research activities in advanced robotics and control systems. Professor Morin's research focuses on cutting-edge robotics applications, particularly in unmanned aerial vehicle navigation and control systems. His work spans nonlinear control theory, visual servoing techniques, and micro air vehicle development. Key interests include homography estimation for image stabilization, thermal anemometry for airflow sensing, and obstacle avoidance algorithms for precision robotics. His publications demonstrate consistent innovation in combining theoretical control frameworks with practical robotic implementations. Analysis of his 15 most recent publications reveals strong thematic continuity in UAV navigation systems, with increasing integration of deep learning techniques since 2020. His work consistently addresses GPS-denied environments and sensor fusion challenges, with notable contributions to thermal-based odometry and visual-inertial navigation systems. The research trajectory shows progression from theoretical control frameworks toward increasingly complex real-world applications including power line inspection and microscopy manipulation. Professor Morin actively collaborates with major aerospace institutions including ONERA and DLR, as evidenced by his participation in the EuRoC challenge. His editorial work on MAV navigation special collections demonstrates leadership in the micro air vehicle research community. While specific grant details aren't provided in the source material, his sustained publication output across multiple high-impact journals indicates successful funding acquisition. As a core member of the ASIMOV team at ISIR, Professor Morin contributes to Sorbonne University's leadership in robotics research. The team maintains strong industry connections through publications in Aerospace Lab and collaborations with organizations like AIAA. Current research directions appear focused on thermal sensor integration for MAVs and nonlinear control solutions for challenging operational environments.
Jens Lemanski is an Associate Professor at the Philosophical Seminar of the University of Tübingen, with part-time roles as an Adjunct Professor at the University of Münster and a Researcher at Fernuniversität Hagen. His research spans Logic and Philosophy of Logic , Linguistic Communication , 19th Century German Philosophy , and Visualization in Mathematics . His work focuses on the historical and philosophical foundations of logic diagrams, including projects like Logic Diagrams in Kantianism (Fritz-Thyssen-Stiftung) and Gestures and Diagrams in Visual-Spatial Communications (DFG-priority programme). He has contributed extensively to understanding the evolution of logic from antiquity to modernity, emphasizing the role of diagrams in Euler-type systems , Byzantine logic , and Kantian thought . Lemanski co-edits Historia Logicae (College Publications) and serves as a Book Review Editor for History and Philosophy of Logic . His recent publications analyze the interplay between transcendental philosophy , formal logic , and AI-driven multimodal communication . He holds a PhD from Johannes Gutenberg University Mainz (2011) and contributes to conferences like Diagrammatic Representation and Inference (2024).
Ryan Tsuchida, MD is an Assistant Professor in the Department of Emergency Medicine at the University of Wisconsin–Madison School of Medicine and Public Health. He serves as Assistant Dean for Multicultural Affairs for Health Professions Learners, advancing diversity, equity, and inclusion (DEI) across five health professions degree programs and residency/fellowship programs under UW Health. Education: Undergraduate from University of California, Los Angeles; Medical degree from University of Michigan Medical School; Emergency Medicine residency at University of Michigan Medical Center (Chief Resident). Leadership: President-Elect of the Academy for Diversity and Inclusion in Emergency Medicine (ADIEM); former Chair of the Equity, Diversity, and Inclusion (EDI) Committee at UW. Research & Advocacy: Focus on DEI curricula, health equity dashboards, cultural humility, and systemic bias mitigation in emergency medicine. His work bridges clinical practice and institutional reform. Honors: Wisconsin’s Most Influential Asian American Leaders (2024), BerbeeWalsh Faculty Award for Excellence in Leadership and Service (2022-23), Outstanding Future Academician Award (2021), Dr. Arno Kumagai Award (2021).
Stefano Castruccio is a Notre Dame Collegiate Associate Professor at the University of Notre Dame, specializing in environmental statistics and spatio-temporal modeling since joining in 2017. His research bridges statistical methodology with critical environmental applications including renewable energy assessment and air pollution impact analysis. His educational background includes: Ph.D. in Statistics from the University of Chicago (2013) M.S. in Mathematical Engineering from Politecnico di Milano, Italy (2007) B.S. in Mathematical Engineering from Politecnico di Milano, Italy (2005) Prof. Castruccio's research centers on developing computationally efficient spatio-temporal models for environmental systems, with major contributions in wind energy resource assessment and climate modeling. His methodological innovations integrate physics-informed machine learning with traditional statistical frameworks to address challenges in high-resolution data analysis and uncertainty quantification. His recent publications (2018-2025) reveal a strategic evolution toward deep learning integration for wind modeling and physics-constrained statistical frameworks, significantly advancing computational approaches for renewable energy forecasting and environmental risk assessment. His scientific recognition includes: Elected fellow of the American Statistical Association Elected member of the International Statistical Institute 2024 Gordon Bell Prize for Climate Modelling 2023 TIES President's invited lecture 2021 TIES Abdel El-Shaarawi Early Investigator Award 2020 Early Investigator Award from ASA Section on Statistics and the Environment Research funding includes major grants from NSF, NASA, and KAUST, most recently a $240,000 NSF CDS&E-MSS award for physics-informed forecasting of high-resolution spatio-temporal data. He maintains active international collaborations with Politecnico di Milano and KAUST through his research group's GitHub repository. His team focuses on open-source development of statistical tools for environmental applications, with ongoing projects in turbulent boundary layer modeling and high-resolution wind energy forecasting.
Xiaolin Hu is a Professor in the Department of Computer Science at Georgia State University within the College of Arts & Sciences. His research focuses on modeling and simulation theory with applications in complex systems science, agent-based systems, and advanced computing environments. Ph.D. in Electrical and Computer Engineering, University of Arizona (2004) NSF CAREER Award recipient Senior member of IEEE and Society for Modeling and Simulation International (SCS) Associate editor for ACM Transactions on Modeling and Computer Simulation (TOMACS) and other journals SIMULATION: Transactions journal and International Journal of Modeling, Simulation, and Scientific Computing (IJMSSC) Dr. Hu's research spans three major areas: Dynamic Data-Driven Simulation (DDDS): Development of simulation frameworks that assimilate real-time data, particularly applied to wildfire spread prediction and autonomous systems. Multi-Agent Systems: Study of adaptive behaviors and coordination mechanisms for unmanned aircraft and social/public health systems. Advanced Computing: Implementation of parallel and cloud computing solutions for large-scale simulations. His recent publications (2025-2023) demonstrate a strong focus on integrating real-time data from UAVs and satellite systems into wildfire simulations, utilizing Bayesian methods for sequential data assimilation, and developing cloud-based simulation services. These works bridge computational modeling with environmental science applications. Scientific recognitions include: National Science Foundation (NSF) CAREER Award Dr. Hu has chaired multiple international conferences in modeling and simulation and leads the SIMS Lab at Georgia State University, which specializes in simulation technologies and their applications in diverse domains.
Kathryn Graddy is the Dean of the Brandeis International Business School and holds the Fred and Rita Richman Distinguished Professorship in Economics at Brandeis University. She specializes in the economics of art and culture, with particular focus on art auctions, price discrimination, and anti-competitive behavior. Her research explores behavioral economics in art markets, investment returns to violins, and the impact of art critics on market valuations. Education: She earned a Ph.D. from Princeton University, an M.B.A. from Columbia University, and dual B.A. and B.S. degrees from Tulane University. Research Interests: Graddy investigates how artistic creativity influences market outcomes, the role of auction guarantees, and the psychological factors (e.g., anchoring, loss aversion) affecting art prices. She also analyzes historical market trends using data spanning centuries of art sales. Awards: She received the 2012 Pommerhene Prize for Best Paper in the Journal of Cultural Economics and an Honorary Doctorate from Copenhagen Business School (2018). Advising & Grants: While specific grants are not listed, her leadership roles indicate extensive involvement in academic governance and institutional strategy. She teaches microeconomics, game theory, and industrial organization at all academic levels. Labs/Teams: Her work is affiliated with the Department of Economics and the Brandeis International Business School, where she leads interdisciplinary initiatives in cultural economics and market analysis.
