Fahui Wang is the Cyril & Tutta Vetter Alumni Professor in the Department of Geography & Anthropology at Louisiana State University (LSU). He holds a B.S. in Geography from Peking University (1988), an M.A. in Economics (1993), and a Ph.D. in City & Regional Planning (1995), both from The Ohio State University. His research focuses on spatially-integrated social sciences, public policy, and GIS applications in healthcare, urban planning, and public safety. He has authored/co-authored multiple influential books and peer-reviewed articles, including works on computational methods in GIS and healthcare accessibility analysis. Professor Wang’s work has been supported by grants from the National Institutes of Health, National Science Foundation, and U.S. Departments of Housing and Urban Development and Justice. His accolades include LSU’s Distinguished Research Master Award (2023) and CPGIS Distinguished Scholar (2023). He teaches advanced courses in GIS, urban geography, and quantitative methods, and leads research initiatives in the LSU Geoscience department. His lab focuses on geospatial technologies for addressing societal challenges in healthcare access, urban planning, and crime analysis.
Sascha van Schendel is an Assistant Professor in Data Protection & Cybersecurity at the Department of Law & Markets, Erasmus School of Law, Erasmus University Rotterdam. She is affiliated with the Erasmus Centre of Law and Digitalization and contributes to the Sectorplan SSH-Breed research initiative on the influence of digitalization on work, prosperity, and entrepreneurship. Her research lies at the intersection of law, technology, and fundamental rights, with a focus on data protection, privacy, algorithmic governance, and the regulation of emerging technologies in public and environmental domains. She has published widely on topics including GDPR compliance, privacy by design, smart energy systems, AI in criminal justice, and the legal implications of predictive policing. The recent publications reflect a strong trend toward the regulation of data in public infrastructure (e.g., energy grids), algorithmic accountability in law enforcement, and the integration of legal and technical perspectives in privacy-preserving systems. Her work spans environmental law, criminal procedure, and digital constitutionalism, demonstrating interdisciplinary reach. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: While no formal PhD or Master’s students are listed, Dr. van Schendel has been involved in significant research projects such as the NWO-funded Megamind project on smart energy grids, indicating experience with competitive grant funding. She actively collaborates with legal scholars and contributes to public policy debates, including responses to national legislation like the Dutch Cybersecurity Bill. Labs and Teams: She is a core member of the Erasmus Centre of Law and Digitalization, a research hub focusing on the legal challenges of digital transformation. Her work is embedded in interdisciplinary collaborations involving law, technology, and public policy experts.
Emma Pierson is an Assistant Professor of Computer Science at the University of California, Berkeley, affiliated with the Berkeley Artificial Intelligence Research Lab (BAIR) , Computational Precision Health , and the Center for Human-Compatible AI . She focuses on developing data science and machine learning methods to address issues in healthcare equity and social inequality . Her work includes studies on race adjustments in clinical algorithms, migration patterns, and leveraging LLMs for health equity. Education: Ph.D. in Computer Science from Stanford University (2020), Master’s in Statistics from the University of Oxford. Prior roles include Assistant Professor at Cornell Tech, Senior Researcher at Microsoft Research, and data scientist at 23andMe and Coursera. Research Interests: Her research spans fair clinical prediction , sparse autoencoders , health disparities , and algorithmic fairness . Notable projects include the MIGRATE dataset for granular migration analysis and studies on policing disparities. Awards: NSF CAREER Award, Rhodes Scholarship, Hertz Fellowship, MIT Technology Review 35 Innovators Under 35, and Samsung AI Researcher of the Year. She writes a statistics blog ( Obsession with Regression ) and contributes to media outlets like The New York Times and FiveThirtyEight . Labs/Teams: Leads the MIGRATE project, a collaboration to analyze fine-grained migration data. Engages in interdisciplinary work across AI, healthcare, and social science.
Margarita Boenig-Liptsin is a tenure-track Assistant Professor of Ethics, Technology and Society at ETH Zurich's Department of Humanities, Social and Political Sciences, a position she has held since September 2022. Trained in Science, Technology and Society with dual PhDs from Harvard University (History of Science) and Université Paris-Sorbonne (Philosophy), she brings interdisciplinary expertise to examining the relationship between technology, power, democracy, and ethics. Her research spans several interconnected areas focusing on transformations to human identity and citizenship in relation to information technologies across time and cultures. She investigates the social and political aspects of digital technologies, identity and selfhood in technological societies, ethics of technology, and comparative cultures of innovation. Her work uniquely bridges historical analysis with contemporary ethical concerns, examining how concepts like human dignity evolve alongside technological developments from punch cards to AI governance frameworks. Her recent publications (2023-2025) reveal a strong focus on AI ethics, data justice, and the philosophical implications of algorithmic systems. These works demonstrate her consistent interest in how technology shapes democratic processes, citizenship, and ethical frameworks. Her research shows progression from historical studies of computer literacy programs to contemporary analyses of generative AI's impact on knowledge production and everyday ethics. Her scientific recognition includes: NSF funding for her collaborative project on Silicon Valley's innovation imaginary Mozilla Foundation Responsible Computer Science Challenge grant (2018-2021) Academic Data Science Alliance support (2020-2022) Sorbonne Université's Paris IAS Chair on 'Major Changes' (2021-2022) At ETH Zurich, she leads research and teaching initiatives that build connections between engineering and social sciences. Previously at UC Berkeley, she directed the Human Contexts and Ethics Program, developing the Human Contexts and Ethics component for data science education. Her work consistently emphasizes translating social science theory for diverse audiences and connecting scholarly work to community needs in Zurich, Switzerland, and Europe. She teaches courses including 'Artificial Intelligence and Human Values' and 'Research in Ethics, Technology and Society' for the Fall 2025 semester.
Dr. Auzeen Shariati is an Associate Professor and Director of Undergraduate Programs in the Department of Criminology, Law and Society at George Mason University. She holds a Ph.D. in Public Affairs and Criminal Justice from Florida International University (2017), an M.A. in Criminal Law and Criminology from Allameh Tabataba’I University (2010), and a B.A. in Judicial Law from the University of Tehran (2006). Prior to academia, she practiced as a defense attorney at the Iranian Bar Association. Her research focuses on environmental criminology, crime prevention, victimization, policing strategies, and comparative criminal justice systems. Key areas include pandemic impacts on domestic violence, school safety through Crime Prevention Through Environmental Design (CPTED), and policy evaluation in criminal justice. She has published extensively in journals like American Journal of Criminal Justice , Journal of Family Violence , and Security Journal . Recent work examines how the Covid-19 pandemic and social upheavals like the murder of George Floyd influenced domestic violence reporting and victim experiences. Her studies combine quantitative and qualitative methods, emphasizing real-world policy implications. Dr. Shariati teaches courses such as Introduction to Criminology , Law and Justice Around the World , and Evaluation of Crime and Justice Policies . She actively presents at conferences like the American Society of Criminology and has contributed to public discourse on campus safety and criminal justice reform through media engagements.
Virginia Polytechnic Institute and State UniversityUnited States
Eugenia Rho is an Assistant Professor in the Department of Computer Science at Virginia Polytechnic Institute and State University (Virginia Tech), part of the College of Engineering. Her research focuses on data analytics, machine learning, natural language processing, and human-computer interaction, with particular emphasis on social media discourse, online identity dynamics, and ethical AI applications. Education includes a Ph.D. in Information and Computer Sciences from the University of California, Irvine (2020), and a B.A. in Political Science from Columbia University (2011). Her interdisciplinary background bridges computer science and social sciences. Research interests span AI-assisted communication tools, counterspeech strategies for online hate mitigation, and neurodivergent perspectives in technology design. Her work often integrates computational methods with social science theories to address real-world challenges such as bias detection, mental health support, and ethical AI deployment. Recent publications highlight themes like AI collaboration in writing, identity-driven online interactions, and the efficacy of counterspeech. Her projects frequently involve designing human-centered technologies that prioritize accessibility and ethical considerations. No scientific awards are explicitly mentioned in the provided text. She maintains an active Google Scholar profile and a personal homepage (URLs not provided in the text).
Emily D. Gottfried, PhD, is an Associate Professor at the Medical University of South Carolina (MUSC) in the Department of Psychiatry and Behavioral Sciences, College of Medicine. She serves as Director of the MUSC Sexual Behaviors Clinic and Lab (SBCL) and CPSPD Student Education & Research, conducting forensic evaluations, physiological sexual arousal assessments, and mentoring students. She is licensed in South Carolina and Georgia, and a National Register Health Service Psychologist. Bachelor’s in Psychology, San Diego State University Master’s in Psychology, Teachers College, Columbia University PhD in Clinical Psychology, Florida State University Her research focuses on sex offender risk assessment , malingering detection (PPG/VPP technology), female offender psychology , and forensic evaluation validity . Recent work includes dimensional personality models and QAnon-related threat analysis . She has published extensively on psychopathy , penile/vaginal plethysmography , and mental health court outcomes . Notable publication trends include Forensic validity of symptom detection tools Psychopathy in female offenders Technology's role in sexual behavior assessment Telehealth adaptation during pandemics MMPI-2-RF applications in correctional settings Psychological factors in civil commitment She leads ongoing funded studies on female sexual arousal and police officer behavioral outcomes , operating at the intersection of forensic science and clinical psychology .
Laura Albert is a Professor of Industrial & Systems Engineering at the University of Wisconsin-Madison and former David H. Gustafson Department Chair (2021-24). She serves as a Fellow of AAAS and IISE, and previously held the INFORMS presidency. Her research focuses on optimizing public-sector systems, with applications in critical infrastructure protection, emergency response, and cybersecurity. She advocates for public engagement through op-eds and blogs like 'Punk Rock Operations Research.' Education: PhD in Industrial Engineering, University of Illinois at Urbana-Champaign (2006) MS in Industrial Engineering, University of Illinois at Urbana-Champaign (2001) BS in Industrial Engineering, University of Illinois at Urbana-Champaign (2000) Research Interests: Dr. Albert’s work bridges operations research and public policy, addressing challenges in emergency medical services, voting system security, law enforcement strategies, and opioid treatment diversion programs. She employs mathematical optimization, game theory, and stochastic modeling to design resilient systems. Awards: INFORMS Impact Prize (2018) NSF CAREER Award (2011) Fulbright Award (2020) AAAS Fellow (2020) Advising & Grants: While explicit student names aren’t listed, her research has been supported by grants from the NSF, Army Research Office, and other agencies. She advises on interdisciplinary projects involving public health, cybersecurity, and disaster management. Labs/Teams: Engaged in collaborative efforts across the College of Engineering, including affiliations with the Electrical & Computer Engineering department. Leads initiatives on resilient infrastructure and emergency response systems.
Karen Livescu is a Professor at the Toyota Technological Institute at Chicago (TTIC), a philanthropically endowed graduate institute for computer science located on the University of Chicago campus. She also serves as a courtesy faculty member in the Department of Computer Science at the University of Chicago and is an Affiliated Scholar at the Data Science Institute there. Her research focuses on advancing speech and language processing through innovative machine learning approaches. Education: PhD in Electrical Engineering and Computer Science from MIT (2005) S.M. from MIT Department of Electrical Engineering and Computer Science (1999) A.B. in Physics from Princeton University (1996) Karen's research spans multiple dimensions of speech and language processing with particular emphasis on speech recognition, spoken language understanding, and multimodal processing. She has made significant contributions to articulatory feature-based speech recognition, self-supervised learning for speech representation, and sign language processing. Her work consistently bridges machine learning techniques with linguistic and speech science knowledge, focusing on creating more robust, interpretable, and inclusive speech processing systems that can handle diverse languages and modalities. Her recent publication trajectory reveals a strong focus on self-supervised learning for speech representation, multilingual speech processing, and sign language understanding. She has been instrumental in developing benchmark frameworks like SUPERB and ML-SUPERB that have become standard evaluation tools in the speech community. Her work increasingly addresses critical challenges in low-resource language scenarios, language disparities in speech technology, and ethical considerations in real-world deployment. Scientific Awards: Best Paper award at EMNLP 2024 for 'Towards robust speech representation learning for thousands of languages' Best Student Paper Award at ASRU 2023 Best Short Paper Award at CRAC 2021 Top system at WMT-SLT 2023 Karen has successfully advised numerous PhD students and postdoctoral researchers who have gone on to faculty positions at institutions like University of Waterloo, University of Edinburgh, and Stellenbosch University, as well as industry roles at major technology companies including Google, Meta, and NVIDIA. Her research group has secured significant funding for projects including the development of the SLUE benchmark for spoken language understanding and the SUPERB framework for evaluating self-supervised speech models. She has been actively involved in organizing workshops and symposia that bring together researchers in speech and language processing. Karen leads the Speech and Language at TTIC (SL@TTIC) research group, which maintains a strong collaborative relationship with researchers at the University of Chicago and other institutions. The group has been particularly active in advancing sign language processing through projects like ChicagoFSWild and OpenASL, while also making significant contributions to spoken language understanding and multilingual speech recognition. Her team regularly participates in community challenges and benchmarks, helping to push the field forward through open science and collaborative evaluation frameworks.
Panayiotis Kolios is an Assistant Professor at the Department of Computer Science, University of Cyprus (UCY). Previously, he served as a Research Assistant Professor at the KIOS Research and Innovation Centre of Excellence (2013–2024) and a Visiting Lecturer at UCY. He holds a BEng and PhD in Telecommunications Engineering from King’s College London (2008 and 2012, respectively). His research focuses on networked intelligent systems, emergency management using AI and UAV technologies, and cyber-physical systems. Education: BEng in Telecommunications Engineering, King’s College London, 2008 PhD in Telecommunications Engineering, King’s College London, 2012 Research Interests: His work centers on autonomous systems, intelligent transportation, and emergency management. Key areas include AI-driven disaster response, UAV-based surveillance, and algorithmic optimization for critical infrastructure. He develops solutions for real-time situational awareness and decision-support in emergencies. Recent work trends show a focus on multi-UAV coordination, disaster management platforms (like AIDERS), and AI applications in emergency response. His team’s 2023 win in the Cooperative Aerial Robots Inspection Challenge highlights advancements in UAV inspection algorithms. Scientific Awards: First Prize in Cooperative Aerial Robots Inspection Challenge (CDC 2023) Grants and Advising: He has secured over €40 million in EU and industrial grants, leading projects like PREDICATE, SWIFTERS, and AIDERS. His team advises on emergency response strategies and has trained first responders through EU-funded programs such as the Exchange of Experts training. Labs and Teams: He leads the Security and Emergency Response Group at KIOS CoE and established the Cyprus Civil Defence Aerial Observation Unit. His team collaborates with institutions like the Cyprus Police and Fire Service to operationalize UAV technologies in disaster scenarios.
Sergio Carrera serves as Senior Research Fellow and Head of the Justice and Home Affairs Unit at the Centre for European Policy Studies (CEPS), a prominent Brussels-based think tank. Additionally, he holds the position of Adjunct Professor at the Paris School of International Affairs (PSIA) in SciencesPo, France, where he contributes to academic teaching and research in international affairs. Dr. Carrera's academic background includes a Ph.D. on immigration and citizenship from Maastricht University (The Netherlands), an LL.M. in European, Comparative and International Law from the University of Maastricht, and a Law Degree from Universidad de Salamanca in Spain. His extensive educational foundation in European and international law underpins his expertise in EU justice and home affairs policy. His primary research interests focus on EU justice and home affairs (JHA) law and the Area of Freedom, Security and Justice policy, with particular emphasis on migration, asylum, citizenship, and Schengen policies. Dr. Carrera's expertise also extends to EU criminal justice law and police cooperation, examining their impacts on data protection, privacy, and the rights of the defense. His work consistently addresses the intersection between security measures and fundamental rights within the European context. Dr. Carrera has produced an extensive body of scholarly work, with over 190 published publications according to the available information. His recent research has particularly focused on EU-US data transfers, rule of law challenges in the context of migration management, global asylum governance, and the evolving landscape of EU security policy. His publications demonstrate a consistent concern with ensuring that security and migration policies uphold fundamental rights and the rule of law. Among his notable contributions are policy analyses on the European Green Deal's implications for climate policy, assessments of the EU's response to the Ukraine crisis, and examinations of the impact of the Trump administration on EU security policy. His research often bridges academic analysis with practical policy recommendations for EU institutions. Dr. Carrera leads and participates in numerous research projects addressing critical issues in EU policy. Current initiatives include "Reclaiming our past, rebuilding our future: new approaches to fighting antigypsyism" (2024-2026) and the "Study on Mapping Civil Dialogue Practices in the EU Institutions" (2024-2025). Previous significant projects include "Global Asylum Governance and European Union's Role" (ASILE, 2019-2023), "Pan-European Response to the ImpactS of COVID-19" (PERISCOPE, 2020-2023), and "IT tools and methods for managing migration FLOWS" (ITFLOWS, 2020-2023). His work has been commissioned by various EU institutions, including the European Parliament's Policy Department for Citizens' Rights and Constitutional Affairs, demonstrating the policy relevance and impact of his research. Dr. Carrera's expertise is frequently sought for task forces addressing timely issues such as EU-US data transfers, digital justice, and cross-border cooperation in criminal matters.
Karin Roelofs is Professor of Experimental Psychopathology at the Behavioural Science Institute (BSI) and Principal Investigator at the Donders Centre for Cognitive Neuroimaging and Donders Institute for Brain, Cognition and Behaviour at Radboud University Nijmegen. She chairs the PI-group "Affective Neuroscience" and holds the chair in Experimental Psychopathology. Her research focuses on psychological and neuroendocrine mechanisms underlying social-motivational behavior in both healthy individuals and patients with stress-related and social-motivational disorders such as social anxiety and aggression. She employs various brain imaging techniques (fMRI, MEG) combined with neural stimulation (TUS, tACS) or pharmacological interventions during emotion control and decision making tasks. Her work investigates how stress influences the neural development of emotion control through longitudinal studies including the Nijmegen Longitudinal Study (NLS), BIBO, and the Police In-Action (PIA) cohort. Her key research questions address how people regulate emotional actions, whether emotion control can be improved by influencing brain activity or through real-time biofeedback, and whether psychopathology can be predicted based on acute stress reactions and recovery patterns. Her publications span high-impact journals including Nature Communications, Nature Human Behaviour, and Nature Reviews Neuroscience, demonstrating her leadership in understanding the neural basis of emotion regulation and stress responses. ERC Advanced Grant (2025) ERC Consolidator Grant (2017) ERC Starting Grant (2012) NWO VICI, VIDI, and VENI grants Elected Member of Royal Netherlands Academy of Arts and Sciences Elected Member of Academia Europaea Professor Roelofs has secured numerous significant grants including the HEART2ADAPT project (2019-2025, ERC-AdG), PIA: Police In-action longitudinal study (2015-2021), and DYNAMORE: Dynamic modelling of resilience (2017-2025). She serves on multiple boards including ALLEA (All European Academies), the Selection committee for the ERC Advanced Grant, and as Board Member of INTRESA (International Resilience Research Alliance). She is also a registered GZ psychologist (BIG) and cognitive behavioral therapist (VCGT), bridging clinical practice with cutting-edge neuroscience research.
Dr. XiaoYue Cathy Liu is an Associate Professor in the Department of Civil & Environmental Engineering at the University of Utah. She holds a PhD in Transportation Engineering from the University of Washington and advanced degrees in Transportation Planning and Electronics Engineering. Her research focuses on sustainable transportation systems, shared mobility, public transit optimization, managed lanes, and intelligent transportation systems. She actively serves on committees including the Transportation Research Board's Highway Capacity Quality of Service (HCQS) Committee and chairs its Technology Transfer Subcommittee. She also advises the Utah Model Advisory Committee and previously served on Salt Lake City’s Transportation Advisory Board. Dr. Liu is a licensed professional engineer in Utah. Education: PhD, Transportation Engineering, University of Washington (2013) MA, Transportation Planning & Management, Texas Southern University BS, Electronics & Electrical Engineering, Beijing Jiaotong University Graduate Certificate, Global Trade & Logistics, University of Washington (2011) Research Interests: Electric vehicle infrastructure and charging networks Smart transportation systems and agent-based modeling GIS-based asset management for transportation infrastructure Snowplowing operations optimization and winter maintenance Managed lanes and high-occupancy toll (HOT) lane analysis Public transit equity and accessibility Her recent publications emphasize data-driven approaches to transportation challenges, including EV demand forecasting, drone delivery networks, and resilience in interdependent transit systems. She collaborates on projects addressing Utah’s unique transportation needs, such as optimizing snowplow routes and integrating renewable energy into public transport systems. Professional Contributions: Board member, Utah Model Advisory Committee Former Chair, Salt Lake City Transportation Advisory Board (2013-2016) TRB Managed Lane Committee member TRB Transit Capacity & Quality of Service (TCQS) Committee member (2016-2019) Dr. Liu’s work bridges transportation engineering with computational methods, focusing on equity, sustainability, and operational efficiency. She leads research initiatives involving large-scale modeling, geospatial analytics, and interdisciplinary solutions for modern mobility challenges.
Devansh Saxena is an Assistant Professor at the University of Wisconsin-Madison, holding dual affiliations in the Information School and the School of Computer, Data & Information Sciences. His research focuses on sociotechnical practices of decision-making in high-stakes domains, particularly examining the social impacts of AI in government agencies, community-based organizations, and public health. Saxena employs mixed-methods approaches, blending computational and design methods to develop human-centered AI systems that prioritize equity and collective decision-making. He holds a Ph.D. in Computer Science from Marquette University, advised by Dr. Shion Guha and Dr. Michael Zimmer. His work intersects Human-Computer Interaction (HCI), Machine Learning, and FAccT (Fairness, Accountability, and Transparency in Sociotechnical Systems). Key areas of research include responsible AI, participatory algorithm design, and rethinking risk assessment in public sector systems such as child welfare. Saxena has received prestigious recognition, including the Best Paper Award at CHI 2023 and the Presidential Postdoctoral Fellowship at Carnegie Mellon University. Recent projects include analyzing algorithmic harms in child welfare through casenote computational analysis, advocating for participatory AI frameworks in government, and exploring ethical AI innovation in early-stage concept selection. His work emphasizes bridging technical and sociocultural dimensions to ensure technologies serve public interest.
Julian Berger is a postdoctoral researcher at the Max Planck Institute for Human Development in the Center for Adaptive Rationality , where he explores how to enhance decision-making through hybrid human-AI systems. He is also a fellow of the Joachim Herz Foundation and has received funding from the Foundation of German Business and the Danish Data Science Academy. Education: M.A. Psychology in Business and Economics, Universidade Catolica Portuguesa (2021) B.A. Politics, Administration and International Relations, Zeppelin Universität (2018) His research spans human-AI collaboration , collective intelligence , and interpretable machine learning . A recurring theme in his work is developing methods to combine human expertise with AI capabilities for accuracy in domains like medical diagnostics , credit scoring , and football analytics . He has authored publications in high-impact venues such as PNAS , Nature Human Behavior , and Science and Medicine in Football . Scientific awards and funding include: Fellowship for interdisciplinary economics, Joachim Herz Foundation (2024) PhD funding from the Foundation of German Business (Stiftung der deutschen Wirtschaft) Research grant from the Danish Data Science Academy His recent article trends emphasize ensembling techniques that leverage complementary human and AI errors, algorithmic fairness, and practical heuristics like Hybrid Confirmation Trees. These works demonstrate significant improvements in diagnostic accuracy and decision cost-efficiency. Beyond academia, Berger works as a consultant and ML engineer with Simply Rational , focusing on interpretable models for financial and sports analytics. His work bridges theoretical research with real-world applications, prioritizing fairness, transparency, and human accountability in AI systems.
