Olivia Adair is a researcher in the School of Mathematics and Physics , focusing on health economics and colorectal cancer screening. Her work integrates microsimulation modeling, systematic reviews, and cost-effectiveness analysis to evaluate public health policies in Northern Ireland and internationally. Research Trends : Her recent publications emphasize comparative modeling methods, economic evaluations of screening programs, and systematic reviews of healthcare interventions. Key themes include cost-effectiveness , population-specific screening , and health policy validation . Scientific Awards : William and Betty MacQuitty Travel Scholarship (2023) Grants & Collaborations : She collaborates with experts like Dr. Felix Lamrock, Professor Mark Lawler, and Dr. Emma McFerran, focusing on regional cancer screening challenges. Her thesis project highlights interdisciplinary teamwork in healthcare modeling.
Professor Ann Elisabeth Gunnulfsen works at the Department of Teacher Education and School Research (ILS) , University of Oslo. She focuses on educational leadership , school governance , and curriculum reform through projects like ChangeLead and RE-FORMED . Education: PhD in school governance (2018), University of Oslo Master of Philosophy in Educational Leadership (2010), UiO Research Focus: Policy enactment in schools National testing and accountability Curriculum implementation International comparative studies (e.g., ISSPP ) Her publications (15 recent) analyze leadership responses to reforms like Fagfornyelsen , emphasizing tensions between internal accountability and external policy demands. She co-edited books on reading strategies and school leaders as legal interpreters . Collaborations: Part of the CLEG research group , she leads projects like VIST (video assessment) and contributes to DIVA (digital integration). Guest researcher at UC Berkeley (2015-2016).
Guido Perboli is a Full Professor in the Department of Management and Production Engineering (DIGEP) at the Polytechnic University of Turin, where he also serves as Logistics Coordinator and Project Coordinator for activities supporting relationships with government bodies. He is a member of the Interdepartmental Center CARS@PoliTO (Center for Automotive Research and Sustainable Mobility) and serves as Director of the ICT for City Logistics and Enterprises (ICElab@Polito) research center, which he founded in 2016. His research interests span a broad range of topics including Operations Research, Logistics, Last-mile Delivery, Sustainable Logistics, Combinatorial Optimization, Stochastic Programming, Business Development, and Lean Business methodologies. His work particularly focuses on City Logistics, Green Logistics, and the application of emerging technologies like Blockchain and AI in supply chain management. He has developed GUEST, a Lean Business methodology for innovation processes from early idea definition to implementation. Professor Perboli's recent publications demonstrate a strong focus on urban logistics, last-mile delivery optimization, blockchain applications in supply chains, and the integration of AI techniques in transportation systems. His work shows an increasing trend toward interdisciplinary research that combines optimization methods with emerging technologies to address sustainable urban mobility challenges. Professional Recognition: CASE Best Paper award from IEEE Conference on Automation Science and Engineering (2011) Effective member of INFORMS (2019-present) Effective member of EURO (1995-present) Effective member of AIRO (1995-present) Associate Editor for Journal of Applied Research and Technology (2020-present) Associate Editor for Sustainability (2018-present) Professor Perboli actively advises PhD students and has supervised numerous research projects, including EU-funded initiatives like SINFONICA, HESTER, and 5G-LOGINNOV. He serves as Scientific Director for multiple commercial research projects focused on blockchain, IoT, and AI applications in logistics. Beyond academia, he is Chief Scientific Officer of Arisk S.p.A., a fintech company specializing in business crisis prediction using AI and machine learning. His research group, ICElab@Polito, focuses on two main areas supporting urban growth: logistics and enterprises. The center collaborates with numerous companies including Amazon, DHL, and FCA, addressing real-world challenges in urban logistics and supply chain management through innovative research approaches.
Bryan Dowd is a Professor in the Division of Health Policy & Management at the University of Minnesota. With a PhD in Public Policy Analysis from the University of Pennsylvania (1982), MS in Urban Administration from Georgia State University (1976), and BA in Architecture from Georgia Institute of Technology (1972), his work focuses on health economics , statistical modeling , and healthcare financing . PhD, Public Policy Analysis, University of Pennsylvania, 1982 MS, Urban Administration, Georgia State University, 1976 BA, Architecture, Georgia Institute of Technology, 1972 His research spans health insurance dynamics , payment models , and statistical methodologies in healthcare. Key themes include upcoding practices , instrumental variable applications , and policy implications of risk ratios . Publications often address healthcare access , economic incentives , and data-driven policy evaluation . Recent article trends highlight moral hazard decomposition , odds ratio critiques , and switching cost analysis in Medicare Advantage. These works emphasize causal inference , economic modeling , and policy design challenges . Contact: dowdx001@umn.edu
Sanjay Srinivasan is a Professor of Petroleum and Natural Gas Engineering and the John and Willie Leone Family Chair in the Department of Energy and Mineral Engineering at Penn State University. He serves as Director of the EMS Energy Institute and leads the Penn State Initiative for Geostatistics and GeoModeling Applications. His research focuses on petroleum reservoir characterization, CO2 sequestration, and integration of seismic data in reservoir models through advanced geostatistical and machine learning methods. Ph.D., Petroleum Engineering, Stanford University M.S., Petroleum Engineering, University of Southern California B. Tech, Petroleum Engineering, Indian School of Mines Srinivasan’s work addresses reservoir recovery processes, unconventional reservoirs, and subsurface energy security. His methodologies include probabilistic modeling, data assimilation, and AI-driven workflows for fracture network mapping and porous media generation. Key applications span Gulf of Mexico deepwater plays and geological carbon storage. Recent publications highlight trends in: Reinforcement learning for geostatistical workflows and well optimization Physics-informed GANs for 3D porous media modeling Probabilistic integration of geomechanical and geostatistical inferences Machine learning approaches for seismic fracture identification CO2 sequestration in heterogeneous reservoirs Scientific awards include Distinguished Member (SPE, 2022), SPE Faculty Pipeline Award (2012), Cox Visiting Fellowship (Stanford, 2010), and SPE Southwest Region Reservoir Description Award (2009).
Katherine L. Milkman is the James G. Dinan Endowed Professor at The Wharton School of the University of Pennsylvania, with secondary appointments in the Perelman School of Medicine and School of Arts and Sciences. She co-founded and co-directs the Behavior Change for Good Initiative , focusing on harnessing behavioral economics and psychology for societal benefit. Education: PhD in Computer Science and Business, Harvard University Undergraduate degree (summa cum laude) in Operations Research and American Studies, Princeton University Her research bridges behavioral economics , decision-making , and health psychology , with applications in education, finance, and public health. Recent studies explore quantification fixation , streak incentives , and diversity interventions using megastudy methodologies. Scientific awards include Thinkers50 Top 50 Management Thinker (2021, 2023) APS Fellow (2020) FABBS Early Career Award (2015) Wyss Award (Harvard, 2008) She teaches courses in decision-making and judgment research , including OIDD9950 (Dissertation) and OIDD2990 (Judgment & Decision Making Research). Media outlets like The New York Times and Nature regularly feature her work, while her podcast Choiceology disseminates behavioral economics insights to a broader audience.
Christian Lundahl is Professor of Education at Örebro University, specializing in the history of assessments, evaluation, and Swedish educational research. His work focuses on internationalization of educational data, marketization of schools, and the role of PISA in policy debates. He leads the transnational research project The Global Laboratory – Torsten Husén and the Internationalization of Educational Research (funded by the Swedish Research Council) and co-edited books like Beyond PISA . Lundahl also developed Sweden’s first MOOC for teacher education and serves as scientific leader for the Open Parliament Laboratory (OPaL) . Research Interests : History of educational assessments and evaluations Transnational educational policy flows Marketization and computational analysis in education PISA data utilization and mis/trust Curriculum theory and policy Equity in grading and national tests Recent Trends in Publications include computational analytics in policy data, historical analysis of educational laboratories, and critiques of PISA’s political role. His 2025 articles examine sampling bias in parliamentary data and school marketization. Projects and Leadership : Principal investigator for The Global Laboratory (2020-2024) Co-developer of Sweden’s first MOOC for teacher training (2013) Scientific leader of OPaL – The Open Parliament Laboratory Visiting Professor at Humboldt University (2020)
Kai Leonhard is an Adjunct Professor at the Chair of Technical Thermodynamics , RWTH Aachen University. His research focuses on computational chemistry, thermodynamics, and molecular modeling, particularly in solvent design and reactive chemical processes. Department: Chair of Technical Thermodynamics Email: kai.leonhard@ltt.rwth-aachen.de Prof. Leonhard's work integrates quantum chemistry with computer-aided molecular and process design (CAMD/CAPD), emphasizing solvation thermodynamics, reaction kinetics, and machine learning applications. His projects span biofuel combustion, microgel synthesis, and sustainable solvent development. Recent publications highlight advancements in COSMO-RS-based solvent screening, reaction network exploration via ChemTraYzer-TAD, and multi-fidelity modeling for partition coefficients. He employs machine learning to enhance predictive thermodynamic models and optimize chemical processes.
Johannes Schöning is a Professor of Human-Computer Interaction (HCI) at the University of St. Gallen and leads the Ubiquitous Media Technology Lab . His research focuses on developing user interfaces that empower individuals and communities through data-driven decision-making, with interdisciplinary applications in geographic information science, public health, medical contexts, and extreme environments like space missions. He emphasizes methodological rigor from AI, computer graphics, and cognitive psychology. Organizes AlpCHI 2026 Chair of ACM Eugene Lawler Award Committee Editorial Board, AI Perspectives (Springer Nature) Research Trends : His publications from 2025–2024 reveal a focus on Mixed Reality (autoethnography, weight perception), Accessibility (visual impairment support), Environmental HCI (CO2 eco-feedback), and Geospatial Technologies (navigation externalities, map analytics). Interdisciplinary work appears in journals like Nature and PLOS ONE . Scientific Recognition : ACM Distinguished Member Best Paper & Accessibility Awards (Interact 2019, MobileHCI 2015) Junior Fellow, Gesellschaft für Informatik (2013) Academic Service : Active in conference leadership (SIGCHI Switzerland Chair 2021–2023, ISS 2016 Program Chair) and reviewing for top venues including ACM CHI , Ubicomp , and IEEE VR . Regular reviewer for European science foundations and DFG/BMBF proposals.
Natalia Díaz Rodríguez is an Assistant Professor of Artificial Intelligence at ENSTA ParisTech, where she works in the Computer Science and Systems Engineering department within the Autonomous Systems and Robotics Lab (U2IS). She is also affiliated with the INRIA Flowers team, focusing on developmental robotics. Her research spans deep learning, reinforcement learning, continual learning, and symbolic AI, with applications in explainable AI, computer vision, and robotics for social good. Her academic background includes a double PhD in Artificial Intelligence from Abo Akademi University and the University of Granada, alongside MSc degrees in Soft Computing and Computer Engineering from the University of Granada. She contributes to interdisciplinary AI, particularly in robotics, ethics, and healthcare applications, and co-organizes workshops on continual learning. Double PhD in Artificial Intelligence (2015), Abo Akademi University and University of Granada Doctoral diploma on Innovation and Entrepreneurship (2017), EIT Digital MSc in Soft Computing and Intelligent Systems (2012), University of Granada MSc in Computer Engineering (2010), University of Granada Her recent publications focus on trustworthy AI, including bias identification, counterfactual explanations, and continual learning strategies, reflecting her commitment to ethical and robust AI systems. She also explores AI applications in structural engineering, climate visualization, and financial risk assessment, emphasizing practical deployment and interpretability.
Prof. Dr. Ulrich Rosar has held the Chair of Sociology II at the Institute of Social Sciences, Heinrich Heine University Düsseldorf , since 2010. He served as Dean of the Faculty of Philosophy at HHU Düsseldorf (2015–2019) and was re-elected as Deputy Spokesperson of the Düsseldorf Institute for Internet and Democracy (DIID) in December 2023. His academic work bridges political sociology , sociological inequality analysis , and empirical social research methods . Research Focus: Political sociology (candidate attractiveness, voting behavior, media influence); inequality analysis (implicit biases in electoral outcomes, structural disparities); empirical methods (ALLBUS data, longitudinal studies). Publications: Recent work examines physical attractiveness in elections (2005–2021 German federal elections), digital campaigning trends , and social media’s impact on electoral success (2023–2025). Earlier studies include ALLBUS data analysis (2020) and historical political discourse (2018).
Johanna Naukkarinen is a Researcher at the School of Energy Systems at Lappeenranta University of Technology. Her work focuses on engineering education, gender dynamics in STEM, and lifelong learning competencies. Researcher, School of Energy Systems, Lappeenranta University of Technology Email: Johanna.Naukkarinen@lut.fi Her research explores: Gender disparities in engineering education and careers Pedagogical strategies for lifelong learning Mathematical skill development in first-year engineering students Technology education reform and sustainability integration Use of digital tools for competency enhancement Professional identity formation in early-career engineers Recent publications highlight trends in: Comparative studies across Belgium, Ireland, and Finland Co-creation methods in educational design Assessment of online learning environments Gendered perspectives on engineering recruitment Interdisciplinary approaches to sustainability education Workplace dynamics in technology sectors
Keunhyun (Keun) Park is an Assistant Professor of Urban Forestry at the University of British Columbia (UBC), affiliated with the Department of Forest Resources Management . He also holds an Adjunct Professor position at Utah State University in the Department of Landscape Architecture and Environmental Planning. Education: BSc and MSc in Landscape Architecture from Seoul National University; PhD in Urban Planning and Design from the University of Utah Research Lab: Faculty lead of the Urban Nature Design Research Lab ( under_lab ) His research focuses on designing healthy, just, and resilient cities through urban nature , with particular emphasis on: Environmental justice and equitable access to urban green spaces Human behavior in public spaces using drone/sensor/VR technology Smart growth urban design impacts on public health and ecological systems Recent publications demonstrate expertise in GIS applications , pedestrian behavior analysis , and urban planning across 20+ studies from 2013-2025. Collaborations include the Vancouver Park Board , Metro Vancouver , and Wasatch Front Regional Council .
Mads Leth Jakobsen is an Associate Professor at the Department of Political Science , Aarhus University, specializing in Public Leadership , Leadership Development , and Bureaucracy and Debureaucratization . He serves as a member of the King Frederik Center for Public Leadership management team, focusing on leadership for public value creation and handling complex social challenges like the climate crisis. Academic Rank: Associate Professor Primary Research: Public Leadership, Distributed Leadership, Climate Governance Teaching: Public Leadership and Governance on political science programs Key Projects: Public Value Leadership (2022), Distributed Leadership (2012-2016) His research explores paradox leadership , organizational responses to climate challenges, and leadership credibility. Recent publications examine municipal climate strategies, bureaucratic dynamics, and leadership development frameworks. He emphasizes the interplay between leadership practices and employee outcomes in public sector organizations. Scientific awards and student supervision details are not listed in the available information. His articles highlight a strong focus on reconciling performance regimes with organizational learning, leadership credibility, and innovative governance models in public sector contexts.
Katie Headrick Taylor is an Associate Professor at the University of Washington College of Education , Department of Learning Sciences & Human Development . Her work focuses on reimagining public education through digitally mediated, intergenerational learning initiatives that prioritize equity and collaboration across diverse communities. Research Interests: Digital Literacies Equity Studies Learning Sciences & Human Development Qualitative Research Methods Technology in Teaching and Learning Her recent publications explore themes such as locative literacies , community technology mapping , and equity-driven STEM collaboration , emphasizing mobile and geospatial technologies. Theoretical frameworks center race, class, culture, gender, and place in learning processes.
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