Prof. Coen Teulings is a Professor of Economics at Utrecht University's Department of Economics, part of the Law, Economics, Governance and Organisation faculty. He holds concurrent roles as a Fellow at CEPR, IZA, and CES-Ifo. Previously, he served as Professor of Economics at the University of Cambridge (2013–2017) and part-time Professor at the University of Amsterdam (2004–2017). His professional history includes seven years as President of the Netherlands Bureau for Economic Policy Analysis (CPB), CEO of SEO Economic Research (2004–2006), and Director of the Tinbergen Institute (1998–2004). Teulings earned a Master's degree in Economics (cum laude, 1985) and a PhD (1990) from the University of Amsterdam. He has advised governmental and international bodies, including the Dutch House of Commons Economic Advisors and the UK's Office for Budget Responsibility. His research focuses on labor economics, macroeconomics, urban economics, and policy analysis, with notable work on minimum wages, income inequality, and secular stagnation. He co-edited the 2014 E-book on Secular Stagnation with Richard Baldwin. Teulings' recent publications address topics like agglomeration effects, urban retail dynamics, and wealth distribution. He contributes to policy debates through roles on the AFM Capital Markets Committee and supervisory boards of institutions like the Boekmanstichting. His ancillary activities include a biweekly column in the Financial Daily (FD) and academic governance roles in the Netherlands and Europe.
Jessica Roberts is an Assistant Professor in the School of Interactive Computing at Georgia Tech. She holds a PhD in the Learning Sciences and directs the Technology-Integrated Learning Environments (TILEs) Lab. Her work focuses on technology-mediated learning in informal environments like museums and citizen science projects, emphasizing geospatial analysis, data visualization, and accessibility. Prior to academia, she was a middle school teacher. Education: PhD in Learning Sciences (specific institution not listed) Postdoctoral research at Carnegie Mellon University's Human-Computer Interaction Institute Postdoctoral work at Northwestern University's Tidal Lab Research Interests: Dr. Roberts explores how interactive technologies can foster inclusive, socially meaningful learning experiences. Her projects include: Data sonification systems for visually impaired audiences AI literacy frameworks for K-12 classrooms Citizen science platforms that democratize environmental data exploration Embodied interaction designs to enhance public engagement with scientific data Article Trends: Recent work highlights innovations in AI education, climate data visualization, and accessibility technologies. Over half of her 2023-2025 publications address data sonification systems for marginalized audiences or AI literacy challenges in K-12 contexts. Awards: Brook Byers Institute for Sustainable Systems Faculty Fellow Advising & Grants: Leads the TILEs Lab, which collaborates with institutions like the Field Museum of Natural History. Projects have been exhibited at major science museums, indicating significant external partnerships. Labs/Teams: Director of the TILEs Lab, affiliated with GVU Center at Georgia Tech. Collaborates with interdisciplinary teams across education, computer science, and environmental science domains.
Marcelo M. Wanderley is a Professor and Director of the Centre for Interdisciplinary Research in Music Media and Technology (CIRMMT) at McGill University's Schulich School of Music. His academic roles include Area Coordinator for Music Technology and membership on the Executive Committee. He holds a PhD in acoustics, signal processing, and computer science from Université Pierre et Marie Curie (Paris VI). Wanderley's research focuses on novel interfaces for music performance, digital musical instruments (DMIs), and human-computer interaction. He has authored influential works such as New Digital Musical Instruments: Control and Interaction Beyond the Keyboard (2006) and pioneered research in gestural control of music. His work integrates engineering, computer science, and musicology to create innovative performance tools, including the T-Stick and Karlax instruments. He has held visiting professorships at Université de Bretagne Sud, Universidade Federal de Minas Gerais (Brazil), and the University of Mons (Belgium), where he was awarded prestigious chairs. Wanderley's awards include the Inria International Chair (2016–2020) and the Distinguished Visitor Award from the University of Auckland. His research has been widely cited in the International Conference on New Interfaces for Musical Expression (NIME), and he actively contributes to editorial boards (e.g., Computer Music Journal ) and academic leadership roles. Wanderley's lab, the Input Devices and Music Interaction Lab (IDMIL), develops open-source frameworks like Puara and Probatio for DMI design and mapping. Key research areas include haptic feedback systems, motion capture of musical performances, and accessibility in music technology. He emphasizes interdisciplinary collaboration, bridging engineering, art, and cognitive science to advance musical expression and performance practices.
Dr. Kaiqun Fu is an Assistant Professor in the McComish Department of Electrical Engineering and Computer Science at South Dakota State University (SDSU). He holds a Ph.D. and M.S. in Computer Science from Virginia Tech (2021 and 2016). His research focuses on spatial data mining, spatiotemporal event analysis, graph neural networks, and urban computing applications such as traffic impact prediction and social media-driven insights. He also explores physics-informed machine learning for power systems and interdisciplinary topics like 'deaths of despair' in rural areas. Education: Ph.D. in Computer Science, Virginia Tech, 2021 M.S. in Computer Science, Virginia Tech, 2016 Research Interests: His work emphasizes machine learning and deep learning applications in spatial-temporal domains, including: Graph neural networks for traffic incident prediction Social media analysis for urban challenges Physics-informed models for power grid stability Citation forecasting in scientific publications Grants & Projects: NSF CRII ($174,734): Spatiotemporal impacts of traffic events via graph neural networks (2024–2026) NSF EAGER ($300,000): Socio-economic impacts of emerging technologies (2024–2026) SDSU RSCA ($10,118): Graph transformer-based location learning (2023–2024) Professional Involvement: He chairs ACM SIGSPATIAL's SRC committee, serves on SDSU's Computer Science curriculum committees, and is an IEEE member. He co-edits Frontiers in Big Data and advises on interdisciplinary projects like climate-impacted grid security (NSF RII Track-2, $750,000). Labs/Teams: Collaborates with interdisciplinary groups focusing on smart cities, data-driven infrastructure resilience, and GeoAI applications.
Robert L. Hicks is a Professor of Economics and Marine Science at The College of William and Mary, holding joint appointments in the Department of Economics and the School of Marine Science. He is affiliated with the Environmental Science and Policy Program and the Thomas Jefferson Program in Public Policy. With a Ph.D. from the University of Maryland and a B.A. from North Carolina State University, Hicks has been a visiting professor at institutions in Germany and Spain, including the University of Bonn and the University of Hannover. His research focuses on environmental and natural resource economics, welfare economics, and econometrics, with notable contributions to fisheries management, eco-labeling, and recreational resource valuation. He has served on the editorial board of Marine Resource Economics and received grants from the National Science Foundation, U.S. Department of Commerce, and philanthropic organizations like the Bill and Melinda Gates Foundation. His awards include the Alumni Fellowship Award and the Plumeri Award for Faculty Excellence. Education: B.A., North Carolina State University Ph.D., University of Maryland Research Interests: Environmental economics emphasizes sustainable resource management, while his work in econometrics advances quantitative methods for policy analysis. Key areas include recreational fishing valuation, eco-labeling impacts, and spatial modeling in fisheries. His research bridges theoretical frameworks with practical applications in coastal and marine environments. Grants & Awards: Recipient of grants from NSF, U.S. Department of Commerce, William and Flora Hewlett Foundation, and Bill and Melinda Gates Foundation Alumni Fellowship Award Plumeri Award for Faculty Excellence Labs & Affiliations: Active in interdisciplinary collaborations, Hicks contributes to policy boards such as NOAA’s Science Advisory Board and aids in shaping environmental and marine policy through academic partnerships.
Paul Kieffaber is an affiliated researcher in the Department of Data Science at William & Mary's College of Arts & Sciences. His work focuses on electrophysiological studies of cognitive processes, particularly aging-related changes in neural mechanisms. Research emphasizes error detection, executive control, and neurocognitive decline using EEG/ERP methodologies. Key areas include: Neural correlates of cognitive aging ERP analysis of error processing Neuroplasticity in aging populations EEG-based neurometric assessment development Recent publications explore theta/gamma oscillations in memory processes (2024), error-related negativity dynamics (2023), and auditory ERP components in schizophrenia (2023). Current research integrates computational neuroscience methods with traditional EEG analysis to understand age-related cognitive changes. No current students/awards listed in provided texts.
Giacomo Fiumara is an Associate Professor at the University of Messina, Department of Mathematical and Computer Sciences, Physical Sciences and Earth Sciences. He holds academic rank since October 2021. Previously, he served as a Permanent Researcher (2008–2021) and secondary school teacher (1997–2008). He earned a Doctorate in Physics (1993) and a Degree in Physics (1989), both from the University of Messina. He is an associate member of the Accademia Peloritana dei Pericolanti and qualified as an associate professor in INF/01 and ING-INF/05 sectors. His research focuses on social network analysis, network science, data science, criminal networks, knowledge representation, bioinformatics, and computational modeling. He has supervised over 170 theses and advised PhD students in Mathematics and Computational Sciences. Key collaborations include work with Prof. Pasquale De Meo on criminal networks and complex systems, and international projects with institutions in the US, UK, China, and Australia. Teaching includes courses on Algorithms, Data Structures, Bioinformatics, and Machine Learning across Computer Science, Engineering, and Medical programs since 2000. He also contributed to international programs at Lviv Polytechnic, Birzeit University, Cluj-Napoca, and Murcia. His editorial roles include Associate Editor of IEEE Access and Academic Editor of Complexity. He holds a patent for predictive analysis of criminal organizations' social structures and has received FFABR research funding. Key awards include FFABR funding (2017) and recognition in the FFABR Unime 2020 II edition. He organized conferences like Crimenet 2014 and participated in high-profile events such as the 2022 Complex Networks conference in Palermo, presenting on quantum walks for criminal network analysis.
Céline Clauzel is a Professor of Geography at the University of Paris 1 Panthéon-Sorbonne and a member of the Laboratory for Social Dynamics and Space Recomposition (LADYSS). She holds a Junior membership in the University Institute of France (IUF, 2023). Her research focuses on spatial modeling of ecological networks, biodiversity management, and human-wildlife interactions, with a geographic emphasis on France, China, and urban environments. Research Projects: Co-leader of the COOLSCHOOLS project (2022–2025) and leader of the INTERFACE project (2022–2023). Key roles in TRAMARE, REAUMUR, and ecological transparency studies for transportation networks. Administrative Roles: Member of LabEx DynamiTe Steering Committee, Scientific Council of the Foundation for Research on Biodiversity (FRB), and elected member of LADYSS laboratory council. Her work bridges ecology and urban planning, emphasizing decision-support tools for biodiversity management. Recent studies explore urban green spaces, wildlife corridors, and citizen science applications in biodiversity monitoring. Awards: Junior IUF membership (2023). Supervises doctoral students focusing on topics like railway permeability, school biodiversity engagement, and connectivity modeling in urban environments. Collaborates with institutions like SNCF, CDC Biodiversité, and the Morvan Regional Natural Park. Active in interdisciplinary initiatives, including co-creating platforms for researchers and practitioners to address ecological challenges in infrastructure and urban development.
Zhen Liu is an Assistant Professor at the School of Data Science, CUHK-Shenzhen. His research focuses on generative models, 3D representations, and the synergy of spatial and semantic understanding in AI systems. With a PhD from Mila and Université de Montréal, he develops foundational methods for physics simulation, 3D assembly, and semantic reasoning in neural networks. His work bridges machine learning with applications in computer vision and graphics, emphasizing: Generative architectures for 3D content creation Diffusion model alignment techniques Efficient parameter finetuning strategies Dr. Liu mentors students in AI research and contributes to advancing 3D generative modeling paradigms.
Daanika Gordon is an Associate Professor of Sociology at Tufts University, with a secondary appointment in Studies in Race, Colonialism, and Diaspora. Her research explores the intersection of racial inequality, urban governance, and policing through organizational and interactional lenses. PhD, University of Wisconsin–Madison (2018) MS, University of Wisconsin–Madison (2013) BA, Development Studies & Sociology, UC Berkeley (2009) Her work connects theories of race and racism with urban political economy and organizational behavior, focusing on how: Policing functions as a tool for urban governance Racial inequalities emerge from race-neutral policies Segregation is dynamically produced through relational processes Recent publications analyze police funding debates, data science applications in policing, and the bureaucratic dissociation of race. Her groundbreaking 2022 book Policing the Racial Divide won the 2023 Edwin H. Sutherland Book Award. She teaches sociology of race, criminal legal systems, and research design while serving on the advisory committee for the Tufts University Prison Initiative. Her research has been funded by: Institute for Citizens & Scholars Bernstein Faculty Fellowship Neubauer Faculty Fellowship National Science Foundation
Prof. Valentina Boeva is an Assistant Professor at the Department of Computer Science, ETH Zürich, specializing in biomedical informatics. Her research focuses on integrating machine learning and computational methods to address challenges in genomics, oncology, and precision medicine. She holds a position in the Professur für Biomedizininformatik (Biomedical Informatics) and is based at CAB G32.2, Universitätstrasse 6, Zürich, Switzerland. Her work emphasizes applications such as cancer biomarker discovery, tumor heterogeneity analysis, and epigenetic profiling. She teaches courses including Machine Learning Seminar, Data Science Lab, and Machine Learning for Genomics. Her research group develops computational tools like CDState and UniversalEPI to decode complex biological systems. She actively publishes in top-tier journals, with recent work on exosome-driven diagnostics and chromatin interaction modeling. Her scientific contributions span methodologies for single-cell data analysis, survival modeling, and drug response prediction. She collaborates across disciplines to bridge computational science with clinical applications in cancer research.
Mengni Chen is a Tenure Track Assistant Professor at the Department of Sociology , University of Copenhagen , affiliated with the Faculty of Social Sciences . She holds a PhD from the University of Hong Kong and previously worked as a research scientist at institutions including the University of Cologne (Germany), Catholic University of Louvain (Belgium), and Vienna University of Economics and Business (Austria). Her research focuses on marriage/family dynamics, gender inequality, intergenerational relationships, socioeconomic development, and population dynamics. She teaches courses such as 'Population and Society,' 'Social Problems,' 'Family Sociology of a Changing Society,' and 'Advanced Quantitative Data Analysis.' Recent Research Highlights: - Analyzes late parenthood trends in East Asia. - Explores intergenerational emotional dynamics in aging Chinese families. - Investigates gender equality in household labor via Hong Kong case studies. - Examines spatial-temporal suicide determinants in China. - Compares life expectancy between Hong Kong and Japan. Professional Contributions: - Authored/edited 27 peer-reviewed publications since 2015. - Research spans sociology, demography, public health, and policy analysis. - Collaborations with international institutions in Europe, Asia, and beyond. - Active in policy-relevant demographic studies addressing societal challenges.
Marko Lovric is an Assistant Professor at Wageningen University & Research's Department of Forest and Nature Conservation Policy. He holds a PhD in forest policy from the University of Freiburg, Germany. His expertise spans forest policy, environmental governance, data analysis, and AI applications in forestry. He has 17 years of research experience, focusing on European ecosystem services, bioeconomy transitions, forest certification, and international forest policy formulation. Education: PhD in Forest Policy (University of Freiburg), prior roles include senior researcher at the European Forest Institute and assistant at the University of Zagreb's Faculty of Forestry. Research Interests: Marko’s work addresses forest policy implementation, ecosystem service valuation, bioeconomy modeling, and international trade dynamics. He employs quantitative methods, big data, and network analysis to explore governance innovations and sustainable forest management strategies. Projects: He coordinated the H2020 SINCERE project on forest ecosystem services and the Horizon Europe project on forest research ecosystems. Current projects include INTERCEDE, focusing on future forest incomes and ecosystem services. Teaching: Involves MSc courses in forest policy, including internships and thesis supervision in forest conservation policy. Labs/Teams: Active in Wageningen’s Forest and Nature Conservation Policy group, contributing to interdisciplinary projects on governance and bioeconomy transitions.
Professor Peta Mitchell is a leading scholar in digital media and geographies at Queensland University of Technology (QUT), where she holds a Professorship in the School of Communication and the Digital Media Research Centre (DMRC). She leads the Urban Media and Digital Geographies Research Group and serves as Director of Research Training for QUT's Faculty of Creative Industries, Education, and Social Justice. In 2023, Professor Mitchell was appointed to serve a three-year term on the Australian Research Council's College of Experts, recognizing her significant contributions to research in digital media and geographies. Professor Mitchell earned her Doctor of Philosophy from the University of Queensland. Her academic journey has established her as a prominent voice in the interdisciplinary field bridging geography, media studies, and digital culture. She has received prestigious fellowships including a Vice Chancellor's Research Fellowship from QUT (2014-2018) and a visiting fellowship from the Institute for Advanced Studies in the Humanities at the University of Edinburgh (2009). Professor Mitchell's research explores the complex connections among space, place, society, and the digital. Her work focuses on digital and media geographies, everyday digital and data cultures, digital inclusion, and network contagion. She has made significant contributions to understanding how digital technologies reshape our relationship with space and place, particularly in urban environments. Her research examines how location-aware technologies influence social dynamics, cultural practices, and power relations, with particular attention to issues of inclusion, privacy, and justice in digital contexts. Professor Mitchell has investigated how digital media practices shape experiences of belonging, particularly among marginalized communities, and how geospatial data is produced, circulated, and contested in contemporary society. Her extensive publication record reveals a trajectory of increasingly interdisciplinary work that bridges humanities, social sciences, and spatial sciences. Recent publications show a growing focus on the intersection of digital technologies with environmental concerns, multispecies justice, and urban governance. Professor Mitchell's work has evolved to address emerging challenges related to generative AI, smart city technologies, and the ethical implications of location-aware applications. Her research consistently engages with questions of power, equity, and social justice in digital spaces, making significant contributions to both theoretical frameworks and practical applications in the field. Vice Chancellor's Research Fellowship, Queensland University of Technology (2014-2018) Faculty research fellowship, Centre for Critical and Cultural Studies, University of Queensland Visiting fellowship, Institute for Advanced Studies in the Humanities (IASH), University of Edinburgh (2009) Professor Mitchell has successfully supervised numerous doctoral students whose research explores diverse aspects of digital media and geographies. Her current and former students have investigated topics including smart urban governance, digital privacy, diaspora media practices, digital inclusion, and the cultural dimensions of location-based technologies. She has secured substantial research funding through competitive grants, including multiple ARC Discovery and Linkage Projects. Her current projects include "Generative AI and the Future of Academic Writing and Publishing" (2025-2028) and "Promoting Low-Income Parents' Digital Media Literacies" (2025-2028), demonstrating her ongoing commitment to addressing pressing contemporary issues at the intersection of technology, society, and space. As leader of the Urban Media and Digital Geographies Research Group within QUT's Digital Media Research Centre, Professor Mitchell fosters interdisciplinary collaboration among researchers examining how digital technologies reshape urban spaces and social relations. Her research group brings together scholars from geography, communication, design, computer science, and the humanities to investigate the spatial dimensions of digital culture. The group's work has particular relevance for understanding the implications of smart city technologies, location-aware applications, and digital inclusion initiatives in contemporary urban contexts.
Melih Kandemir is an Associate Professor at the Department of Mathematics and Computer Science, Southern Denmark University. He also serves as Research Group Leader at the Bosch Center for Artificial Intelligence (2018–2021) and held a previous role as Assistant Professor at Ozyegin University (2017–2018). His research focuses on machine learning, Bayesian methods, reinforcement learning, and uncertainty quantification. **Education**: PhD in Computer Science from Aalto University (2013), specializing in 'Learning Mental States from Biosignals'. **Research Interests**: Machine Learning, Bayesian Inference, Reinforcement Learning, Deep Neural Networks, Stochastic Processes. His work emphasizes theoretical foundations and practical applications in domains like medical imaging, control systems, and robotics. **Awards**: Two Best Paper Awards (2017). **Grants & Projects**: Includes the Carlsberg Young Researcher Fellowship (2022–2026), Novo Nordisk Foundation grants (2021–2024), and DFF-funded research on PAC-Bayesian reinforcement learning (2025–2027). **Labs/Teams**: Leads research on Bayesian deep learning and reinforcement learning within the Bosch Center for AI and SDU's interdisciplinary groups.
