J.D. Jansen is a full Professor at Delft University of Technology (TU Delft) in the School of Civil Engineering & Geosciences, specializing in the Reservoir Engineering department. His research focuses on systems and control theory applied to subsurface flow mechanics, with applications in oil and gas production, geothermal energy, and induced seismicity. He actively contributes to academic networks through editorial roles, keynote presentations, and international collaborations. Active in computational geosciences (modeling, simulation, data analysis) Member of the Dutch Mining Council since 2016 Recipient of two Society of Petroleum Engineers awards in 2018 His work emphasizes optimization of subsurface processes, numerical modeling of porous materials, and seismicity mitigation. Recent publications highlight fault slip mechanics, benchmarking simulations, and stress pattern analysis in geothermal systems. Collaborations span geomechanics, reservoir engineering, and data assimilation domains. Scientific awards include: Distinguished Membership of the Society of Petroleum Engineers (2018) SPE Distinguished Achievement Award for Petroleum Engineering Faculty (2018) He leads research initiatives in induced seismicity, particularly in the Groningen Field, and contributes to model-based production optimization. Media engagements since 2020 demonstrate public outreach in energy transition topics.
Harish Ravichandar is an Assistant Professor at the School of Interactive Computing , Georgia Institute of Technology, and a core faculty member of the Institute for Robotics and Intelligent Machines (IRIM) . He leads the Structured Techniques for Algorithmic Robotics (STAR) Lab , focusing on structured computational frameworks and learning algorithms with inductive biases to enhance robot efficiency, reliability, and self-sufficiency in human-robot collaboration and complex applications like dexterous manipulation and multi-agent coordination. His research bridges robot learning , human-robot interaction , and multi-agent systems , emphasizing stable, frugal, and safe skill acquisition from human demonstrations. Key themes include intention inference , trajectory optimization , and heterogeneous team coordination , often leveraging Koopman operators , hypernetworks , and graph-based methods . Scientific recognition includes the NSF CAREER Award , IEEE MRS Best Paper Award , and Georgia Tech’s College of Computing Outstanding Post-Doctoral Research Award . His work also received the ASME DSCC Best Student Paper Award and P&W Institute Graduate Fellowship . Harish’s educational background includes a Ph.D. in Electrical and Computer Engineering from the University of Connecticut (2018) , an M.S. from the University of Florida (2014) , and a B.E. in Instrumentation and Control Engineering from Anna University (2012) . He previously held postdoctoral and research scientist roles at Georgia Tech before his current position.
Christian Lindh is an active Associate Professor and Senior Lecturer at Lund University's Division of Occupational and Environmental Medicine. He serves as Research Team Manager for Applied Mass Spectrometry in Environmental Medicine and is affiliated with EpiHealth: Epidemiology for Health. His research focuses on environmental and occupational exposures and their health impacts, with particular expertise in biomonitoring and analytical chemistry. His research interests span Occupational Health , Environmental Health , Analytical Chemistry , Exposure Assessment , and Epidemiology . Lindh specializes in studying human exposure to environmental pollutants including PFAS, heavy metals, phthalates, and polycyclic aromatic hydrocarbons, with particular focus on vulnerable populations such as pregnant women and children. His work contributes to UN Sustainable Development Goals related to health and environmental protection. Analysis of his recent publications reveals a strong focus on environmental epidemiology, particularly examining PFAS exposure patterns, heavy metal toxicity, and the health impacts of environmental contaminants across different life stages. His research employs advanced analytical techniques, particularly mass spectrometry, to precisely measure exposure levels and investigate dose-response relationships. Lindh has secured significant research funding, currently leading projects including 'Temporal Trends in Lead, Mercury, and Cadmium Levels in Children' (Swedish Environmental Protection Agency, 2025-2026) and 'Trade-offs between food safety and food security' (FORMAS, 2024-2027). He serves as Principal Investigator on multiple active research projects totaling 15, with 7 currently active and 7 completed. As Manager of the 'Targeted Exposomics at Lund University' infrastructure, Lindh leads the Applied Mass Spectrometry in Environmental Medicine research team. His work bridges analytical chemistry with public health research, developing methodologies to assess human exposure to environmental chemicals and evaluating their health consequences through epidemiological studies.
Brett Sanders is a Professor in the Department of Civil and Environmental Engineering at the Samueli School of Engineering, University of California, Irvine. His research focuses on developing innovative algorithms for flow and transport in river and coastal systems and integrating information technologies to create more accurate and efficient simulation tools for flood hazard assessment. His primary research interests include: Flooding and erosion hazards, particularly coastal flooding and urban flooding Surface water quality Low impact development impacts on hydrology Dam-break flooding Aerial and terrestrial lidar scanning Geographical information systems High performance computing for simulation tools Social dimensions of flood risk and adaptation behaviors Dr. Sanders' recent publications (2024-2025) reveal a comprehensive research program addressing both technical and social aspects of flood risk. His work spans computational hydrodynamics, flood hazard mapping, infrastructure vulnerability assessment, and the socioeconomic dimensions of flood risk. He has made significant contributions to understanding multi-grid modeling of urban flooding, post-fire flood hazards, satellite-based monitoring of land motion, and social inequalities in flood exposure. His research demonstrates how flood dynamics are more complex than simple bath-tub filling models suggest, with important implications for urban planning and climate adaptation. Dr. Sanders has received recognition as a Chancellor's Professor at UC Irvine, indicating distinguished scholarly achievement. His educational background includes: Ph.D. in Civil Engineering from the University of Michigan (1997) M.S. in Civil Engineering from the University of Michigan (1994) B.S. in Civil Engineering from the University of California, Berkeley (1993)
Dr. Divya Jayakumar Nair serves as Senior Lecturer in the School of Civil and Environmental Engineering at the University of New South Wales (UNSW), where she also holds the position of Associate Dean International – South Asia for UNSW Engineering. Her academic work is centered at the Research Centre for Integrated Transport Innovation (rCITI), focusing on transportation systems, network optimization, and disaster management applications. Dr. Nair's research interests span transportation engineering, disaster management, and urban mobility systems. Her work investigates complex network design problems, particularly in pre-disaster evacuation planning, transportation resilience, and food rescue logistics. She employs advanced analytical methods including traffic equilibrium modeling, network optimization techniques, and data-driven approaches to solve real-world transportation challenges with significant societal impact. Her recent publications demonstrate a strong focus on transportation resilience during disasters, with particular attention to equity considerations in pre-event planning. Dr. Nair's research shows how transportation networks can be optimized to improve emergency response while ensuring equitable access to safety for all population segments. Her work bridges theoretical network optimization with practical applications in urban environments facing climate-related challenges. Dr. Nair collaborates extensively with leading researchers in transportation including S. Travis Waller, Vinay V. Dixit, David Rey, and Taha Rashidi. Her collaborative approach spans multiple institutions and addresses pressing challenges in urban transportation systems worldwide.
Vera Liao is a Principal Researcher at Microsoft Research, where she is part of the FATE (Fairness, Accountability, Transparency, and Ethics of AI) group. She will join the University of Michigan Computer Science and Engineering department as an Associate Professor in fall 2025. Her work focuses on human-AI interaction, explainable AI, and responsible computing. Liao has made significant contributions to IBM products such as AI Explainability 360 and Uncertainty Quantification 360 during her time at IBM T.J. Watson Research Center. Dr. Liao received her education from the University of Illinois at Urbana-Champaign and Tsinghua University. Her academic journey has positioned her at the intersection of human-computer interaction and artificial intelligence, with a strong emphasis on creating AI systems that are transparent, accountable, and user-centered. Vera Liao's research primarily centers around human-centered AI explainability and transparency. She investigates how to design AI systems that effectively communicate their capabilities, limitations, and decision-making processes to users. Her work examines the intersection of AI transparency with trust, control, and user experience. Liao has pioneered approaches to bridging the socio-technical gap in AI evaluation and has developed frameworks for contextualized evaluation of explainable AI systems. Her research spans multiple domains including conversational interfaces, data storytelling, and creative work with generative AI. Liao's publications reveal a clear trend toward addressing the challenges of large language models and their impact on human-AI interaction. Her recent work focuses on understanding how uncertainty communication affects user trust, how to design for appropriate reliance on AI systems, and how to create authentic co-creation experiences with generative models. She has been examining the risks in AI-infused information ecosystems and developing methods for human-centered evaluation of language technologies. Her scientific contributions have been recognized with multiple honors: Best Paper Award, Honorable Mention at CHI 2025 (two papers) Best Paper Award at CHI 2024 Best Paper Award, Honorable Mention at FAccT 2023 Best Paper Award, Honorable Mention at HCOMP 2022 Best Paper Award, Honorable Mention at CHI 2021 Best Paper Award, Honorable Mention at CHI 2014 Outstanding Paper Award at IUI 2019 Dr. Liao is an active mentor, having guided numerous research interns from top universities including Cornell, Princeton, CMU, Stanford, and MIT. She serves in editorial roles as Co-Editor-in-Chief of the Springer Human-Computer Interaction Book Series and as an Editor for ACM CSCW. Liao has secured research funding through her work at Microsoft Research and previously at IBM, focusing on projects related to AI explainability, transparency, and responsible AI development. As part of Microsoft Research's FATE group, Liao collaborates with a multidisciplinary team of researchers focused on the ethical implications of AI technologies. Her work bridges the gap between technical AI development and human-centered design principles, ensuring that AI systems are developed with user needs and societal impacts in mind.
Prof. Tibor Neugebauer is a Full Professor of Finance at the University of Luxembourg’s Faculty of Law, Economics and Finance (FDEF), Department of Finance. He holds a Doctorate in Economics from the University of Valencia (2000) and professional qualifications from Hannover, with prior academic positions at institutions including York, Kiel, Hannover, and research stays at Lisbon, Bari, Valencia, and Rome. His research focuses on Experimental Finance and Economics, particularly behavioral finance, asset markets, auctions, and decision-making under uncertainty. He designs laboratory experiments to analyze markets, strategic interactions, and algorithm-human dynamics, with recent emphasis on algorithmic trading and market regulations. Education: Doctor of Economics, University of Valencia (2000) Master of Science in Economics, University of Alicante (1997) Bachelor’s in Economics, University of Bonn (1994) Professional Qualification in Economics, University of Hannover (2006) Research Interests: Prof. Neugebauer’s work examines institutional and informational structures’ impact on market outcomes, including fairness in co-determination, communication effects in asset markets, and algorithmic arbitrage. His experiments explore human behavior in complex environments, such as speculative asset trading and regulatory interventions. He has pioneered studies on algorithmic trading’s role in experimental markets, combining theoretical models with empirical behavioral insights. Key Contributions: His research addresses topics like margin trading regulations, Modigliani-Miller theorem validity in experimental settings, and the ‘greater fool’ phenomenon. Recent studies emphasize algorithmic-human interaction dynamics, market efficiency under varying mechanisms, and the implications of wash trading. Awards & Grants: No specific awards listed, but his extensive publication record reflects sustained recognition in experimental finance. Grants and collaborations likely relate to his research on market design and behavioral finance. Labs/Teams: Active in the FDEF’s finance research group, contributing to Luxembourg’s international reputation in experimental economics and finance. Collaborates with global institutions on algorithmic trading and market dynamics.
Dr James Herbert-Read is an Associate Professor and Whitten Lecturer in Marine Biology at the Department of Zoology, University of Cambridge. He serves as Deputy Head of Department (Postgraduate Education) and leads the Marine Behavioural Ecology Group. His research focuses on understanding how animals, particularly marine organisms, collect and process information from their environments to make behavioral decisions, with emphasis on social interactions, adaptation mechanisms, and ecological constraints. His group employs theoretical frameworks, controlled experiments, and quantitative field studies to investigate behavioral diversity in marine species. Key themes include collective behavior, predator-prey dynamics, camouflage strategies, and the impacts of environmental stressors on animal decision-making. Recent publications highlight work on lionfish vocalization mechanisms, cuttlefish camouflage, citizen science applications in marine research, and behavioral responses to visual and acoustic noise. Scientific awards and affiliations include: Whitten Lecturer in Marine Biology Associate Professor, University of Cambridge He has supervised research projects on topics such as: Social attraction in invasive fish species Evolution of coordinated movement Neurophysiological basis for leadership in shoals Maternal effects on offspring exploration
Michael Siegrist is a Full Professor of Consumer Behavior at ETH Zurich's Department of Health Sciences and Technology. His research focuses on risk perception, risk communication, acceptance of new technologies, and decision making under uncertainty, with particular emphasis on food and consumer behavior. He has established himself as a leading researcher in understanding how people perceive risks related to food, chemicals, and emerging technologies. Dr. Siegrist earned his education at the University of Zurich, where he studied psychology, economics, and mass communication. He completed his dissertation in 1994 and his Habilitation in 2001 at the Faculty of Arts. Between 1998-2000, he was a visiting researcher at Western Washington University, funded by the Swiss National Science Foundation. He began teaching and research activities at ETH Zurich in 2004 and became a Full Professor there in 2007. His research interests span risk perception and communication, with particular focus on food safety, disgust sensitivity, naturalness perception, and sustainability. His work examines how consumers evaluate risks related to food technologies, chemicals, and environmental issues. He has published extensively on topics including cultured meat acceptance, food labeling, household chemical safety, and the psychological factors influencing consumer decisions under uncertainty. His research often employs cross-cultural approaches, comparing consumer perceptions across different countries and demographic groups. Dr. Siegrist's publications reveal a strong trend toward understanding the psychological mechanisms behind consumer acceptance of novel food technologies, particularly alternative proteins. His recent work increasingly focuses on sustainability issues in food consumption, examining how consumers perceive environmental impacts of food choices and respond to policy measures aimed at promoting sustainable eating habits. He has made significant contributions to understanding how naturalness claims, disgust sensitivity, and cultural factors shape food preferences and risk perceptions. As an active researcher, Dr. Siegrist collaborates with numerous colleagues across disciplines, including veterinary science, nutrition, and agricultural technology. His work spans both theoretical contributions to risk perception frameworks and practical applications for food industry and policy development.
Dustin Tingley is a Professor of Government at Harvard University and holds a joint appointment at the Harvard Kennedy School of Public Policy . He serves as Interim Vice Provost for Advances in Learning and directs the Data Science and Technology Group and the Harvard Initiative on Learning and Teaching . He earned a PhD in Politics from Princeton and a BA in political science and math from the University of Rochester. Key Roles : Deputy Vice Provost (past), Chair of Harvard's Standing Committee on Climate Education Research Focus : Climate change politics, data science, causal inference, and international political economy His recent work explores the political economy of climate transitions , public opinion on carbon policies , and machine learning applications in social sciences . He co-founded ABLConnect , a repository for active learning pedagogy, and organized conferences on causal mechanisms , teaching with AI , and equitable classrooms . Awards : Gladys M. Kammerer Award (2015) for co-authored book Sailing the Water’s Edge Notable Publications : Uncertain Futures: How to Unlock the Climate Impasse (2023, with Alex Gazmararian) The Political Economy of the Clean Energy Transition (2025)
Marjorie Corman Aaron serves as Professor of Practice and Director of the Center for Practice at the University of Cincinnati College of Law, where she teaches negotiation, client counseling, trial practice, mediation, and decision analysis. Her leadership oversees the law school's trial practice program and student competition teams in dispute resolution. Her academic foundation includes a BA from Princeton University and JD from Harvard Law School. Professor Aaron's research revolutionizes lawyer-client communication through structured decision-making frameworks. She pioneered methodologies for counseling clients through legal uncertainties, emphasizing decision tree analysis to quantify risks and outcomes. Her seminal works "Client Science" and "Risk and Rigor" bridge psychological insights with practical legal strategy, transforming how attorneys navigate complex negotiations and settlement discussions while maintaining ethical rigor. Her scholarly trajectory reveals consistent innovation in dispute resolution pedagogy, evolving from foundational decision analysis techniques to contemporary explorations of mediator neutrality in politically charged contexts and ethical implications of nondisclosure agreements. Her distinguished recognition includes: Harold C. Schott Scholarship Award (2019) Goldman Prize for Excellence in Teaching (2010) University President’s Excellence Award for Teaching (2006) American College of Civil Trial Mediators Education/Training Achievement Award (1998) CPR Institute for Dispute Resolution Second Prize for Excellence (1995) As an educator, she mentors students through national competition teams while extending her impact via workshops for law firms, corporations, and government entities. Her digital platforms (clientsciencecourse.com and riskandrigor.com) provide global resources for legal educators, complemented by frequent guest lectures at Harvard, Michigan, and international institutions. The Center for Practice functions as an experiential learning hub under her direction, integrating theoretical knowledge with hands-on trial advocacy training and dispute resolution simulations that prepare students for real-world legal practice.
Professor Francisco Gomes is a Professor of Finance at the London Business School , where he has been a faculty member since 2000. His research focuses on capital markets, asset allocation, household finance, and macroeconomics , with a particular emphasis on life-cycle investing, retirement policy, and risk-sharing mechanisms. BA - Universidade Nova de Lisboa MA/PhD - Harvard University His work has been published in top-tier journals like The Journal of Finance , The Review of Financial Studies , and The American Economic Review . Recent publications analyze automation's impact on wealth dispersion, yield-chasing behavior in household investments, and optimal target-date fund strategies for retirement planning. Professor Gomes is a Research Affiliate of the Centre for Economic Policy Research (CEPR) and co-founded the CEPR Network on Household Finance. His research bridges theoretical models with empirical analysis, often incorporating computational methods (e.g., Fortran/Matlab code for life-cycle models).
Edwin Olson is an Associate Professor of Computer Science and Engineering at the University of Michigan, where he directs the APRIL Robotics Lab. He also serves as CEO of May Mobility Inc., a company focused on developing driverless shuttles. His research spans autonomy, perception, robotics, and learning, with notable contributions to technologies like AprilTags and the LCM middleware. Olson has led groundbreaking projects, including the 2010 MAGIC competition-winning robot team and the DARPA Urban Challenge. He has been recognized with awards such as Popular Science's 'Brilliant Ten' (2012), the DARPA Young Faculty Award (2013), and the College of Engineering Education Excellence Award (2015). His work emphasizes real-world applications of autonomous systems, including risk assessment, multi-policy decision making, and sensor fusion. Recent articles focus on autonomous agent behavior prediction, remote assistance systems, and infrastructure calibration. Olson's academic contributions are complemented by industry roles, including his tenure at Toyota Research Institute as Co-Director for Autonomous Driving Development. Education: PhD in Computer Science from MIT (2008) Key Projects: MAGIC 2010, DARPA Urban Challenge, Toyota Research Institute Labs: APRIL Robotics Lab Awards: DARPA Young Faculty Award, Brilliant Ten, Education Excellence Award
Professor Ute Stephan is a Professor of Entrepreneurship at King's Business School, King’s College London, where she is affiliated with the Strategy, International Management & Entrepreneurship department. She is a globally recognized scholar in the psychology of entrepreneurship, with a focus on entrepreneurial well-being, mental health, social entrepreneurship, and the role of culture and institutions. Research Interests: Entrepreneurial well-being, stress, and mental health Social and inclusive entrepreneurship Cross-cultural innovation and national culture Family business and women entrepreneurs Entrepreneurial resilience during crises (e.g., Covid-19) Feedback-seeking and social networks Her recent publications reveal a strong trend toward understanding the psychological and social dimensions of entrepreneurship, particularly how entrepreneurs navigate uncertainty, maintain well-being, and create inclusive impact. Her work integrates insights from organizational behavior, psychology, and management, often using cross-national data and meta-analytic methods. Scientific Awards and Recognition: 2025 JIBS Decade Award Fellow, International Association of Applied Psychology (IAAP) 21st Century Entrepreneurship Fellow Winner, 2016 GLOBE Robert J. House Best Research Paper Award Highly Commended, 2015 GLOBE Robert J. House Best Research Paper Award Nominee, 2021 Journal of Management Scholarly Impact Award She has secured over £3 million in research funding from the European Commission, UK Government, UK research councils, and German institutions. She serves as Associate Editor at Journal of Management and Entrepreneurship Theory & Practice , and previously held editorial leadership roles at Applied Psychology and Journal of International Business Studies . She is an elected board member of the IAAP and chairs its publication committee. She also advises the Founder Mental Health Pledge and is an IfM Research Fellow at IfM Bonn. Labs and Research Teams: Lead investigator of the 25-country study on Entrepreneurship & COVID-19 Principal investigator of the WEWell project on women entrepreneurs’ well-being Lead investigator of the SEFORIS and SELUSI projects on social enterprises Team member in large-scale international collaborations across Europe, Asia, and the Americas
Ziran Wang is an Assistant Professor in the Department of Civil Engineering at Purdue University's College of Engineering, appointed as new faculty in 2022. His research bridges digital twin technologies, autonomous driving systems, and human-machine interaction to advance intelligent transportation solutions. Ph.D. in Mechanical Engineering, University of California, Riverside Prior role: Principal Researcher at Toyota North America His work focuses on creating personalized autonomous driving experiences through machine learning, emphasizing safety and efficiency in real-world applications. Key areas include multimodal large language model integration, federated learning for privacy-preserving data sharing, and cooperative perception frameworks. He develops novel approaches for digital twin-based traffic simulation, medical emergency detection in vehicles, and human behavior modeling in complex urban environments. Analysis of his 2024-2025 publications reveals a dominant trend toward generative AI applications in autonomous driving, particularly for perception-prediction-planning integration and real-world validation. His research increasingly incorporates digital twins for safety-critical testing and explores medical applications through in-vehicle health monitoring systems. Dr. Wang advises graduate students including Wenhui Huang and leads the Purdue Digital Twin Lab, which develops advanced simulation and testing platforms for autonomous systems. His lab maintains strong industry partnerships with Toyota for real-world deployment and validation of research成果.
