Lorraine (Xiang) Li is an Assistant Professor in the Department of Computer Science at the University of Pittsburgh’s School of Computing and Information (SCI). Her research focuses on the intersection of natural language processing, commonsense reasoning, knowledge representation, and machine learning, particularly in designing probabilistic models and evaluation methods for implicit commonsense knowledge in language. Li holds a PhD from the University of Massachusetts, Amherst, and previously worked as a young investigator with the Mosaic team at AI2. She has an M.S. in Computer Science from the University of Chicago, where she conducted research at TTIC. Her work emphasizes advancing AI’s ability to reason contextually and generate robust, human-like understanding through probabilistic frameworks. Key research themes include bias detection in reasoning models, iterative model editing, domain adaptation with LLMs, and evaluating commonsense through probabilistic measures. Her recent publications explore challenges like confirmation bias in chain-of-thought reasoning and geographical robustness in object recognition. Li actively contributes to the NLP community, serving on program committees for ACL, EMNLP, NAACL, and ARR. Though no formal awards are listed, her prolific publication record reflects her impact in AI research. She currently leads research in procedural knowledge models (e.g., Plasma) and long-tail knowledge generation, advancing foundational AI methodologies.
Jonathan Levine is a Professor of Urban and Regional Planning at the University of Michigan's Taubman College of Architecture and Urban Planning, where he has been faculty since 1991. His work focuses on transportation planning, housing and equitable development, and land use and environmental planning, with a particular emphasis on shifting from mobility-based to accessibility-based planning paradigms. Levine's educational background includes: Ph.D. in City and Regional Planning from the University of California, Berkeley M.C.P. in City and Regional Planning from the University of California, Berkeley M.S. in Engineering (Civil Engineering-Transportation focus) from the University of California, Berkeley B.S. in Political Economy of Natural Resources from the University of California, Berkeley His research centers on the potential and rationales for policy reform in transportation and land use. Levine argues that a shift in the transportation and land-use planning paradigm from a mobility to an accessibility basis is compelled by transportation theory and would be transformative to planning practices. His current work includes sponsored projects and the book "From Mobility to Accessibility: Transforming Urban Transportation and Land-Use Planning" (Cornell University Press, 2019), co-authored with Joe Grengs and Louis Merlin. He previously authored "Zoned Out: Regulation, Markets, and Choices in Transportation and Metropolitan Land Use" (Resources for the Future, 2006), which argued for policy reform based on expanding households' effective range of choices. Levine's recent publications demonstrate a clear trend toward accessibility-based evaluation of transportation systems and land-use planning. His articles explore topics such as comparing bus rapid transit and light rail, project-level accessibility analysis, overcoming the last-mile problem, and the effects of automated transit systems. His work consistently challenges traditional transportation planning paradigms and advocates for approaches that prioritize access to destinations rather than mere mobility. Levine's contributions to the field have been recognized with several prestigious awards: 2010 Chester Rapkin Award for best paper in the Journal of Planning Education and Research 2011 Residential Fellowship at the Rockefeller Foundation Center in Bellagio, Italy 2001 Excellence in Urban Policy Scholarship Award from the Association of Collegiate Schools of Planning and U.S. Department of Housing and Urban Development 1996 Best of Association of Collegiate Schools of Planning Award Levine has led significant research projects including Implementation of Accessibility-Based Evaluation for Transportation and Land-Use Planning funded by NEXTRANS, Sustainable Transportation for a 3rd Century addressing the last mile problem, and Accessibility Evaluation from Laboratory to Practice. His teaching portfolio includes Transportation and Land-Use Planning, Public Economics for Urban Planning, Research Design, and the MUP Capstone studio, where he guides students through real-world planning challenges. As a thought leader in urban planning, Levine regularly contributes to public discourse on zoning policies, housing diversity, and transportation planning. He has been featured in numerous media outlets discussing how land use policies impact sustainability, affordability, and racial justice, emphasizing that "zoning is behind all of it, and is not only the cause, but exacerbates it." His insights on the historical role of single-family zoning in perpetuating racial segregation have been particularly influential in contemporary housing policy debates.
Iris D. Tommelein serves as the Roy W. Carlson Distinguished Professor in the Civil and Environmental Engineering Department at the University of California, Berkeley's College of Engineering, where she directs the Project Production Systems Laboratory (P2SL). A globally recognized pioneer in Lean Construction, she has revolutionized architecture-engineering-construction (AEC) practices through research, industry workshops, and leadership since co-founding the Lean Construction Institute in 1997. Her educational foundation spans multiple disciplines: Ph.D. in Civil Engineering (Construction Engineering and Management), Stanford University, 1989 M.S. in Computer Science (Artificial Intelligence), Stanford University, 1989 M.S. in Civil Engineering (Construction Engineering and Management), Stanford University, 1985 B.S. (5-year degree) in Civil Engineer-Architect, Vrije Universiteit Brussel, Belgium, 1984 Professor Tommelein's research centers on transforming construction processes through Lean principles and digital innovation . Her work pioneers takt planning for workflow reliability, industrialized construction for labor and sustainability challenges, and mistakeproofing to eliminate errors. She integrates digital twins , AI , and optimization to develop practical decision-support systems for supply chains, logistics, and production management. Recent focus includes modular offsite construction and Industry 4.0 applications. Analysis of her 2023-2025 publications reveals intensifying research on takt planning maturity models and industrialized construction feasibility , with growing emphasis on mass timber automation and visual management systems. Her work consistently bridges lean theory with practical implementation across megaprojects, subcontracting networks, and heavy civil engineering. Her exceptional contributions have earned: Lean Pioneer Award (Lean Construction Institute, 2015) National Academy of Construction induction (2019) PPI Technical Achievement Award (2022) Robert B. Harris Award (University of Michigan, 2024) ASCE Construction Management Award (2024) - first woman recipient in 51 years Through the P2SL, she leads industry-collaborative research on production system design, mistakeproofing frameworks, and digital transformation. Her grant-funded projects develop assessment tools for industrialized construction adoption and takt planning methods adaptable to diverse project types. She actively mentors graduate students and drives knowledge transfer via workshops and the annual Construction Innovation Day. The Project Production Systems Laboratory (P2SL) operates as a global hub for construction innovation, partnering with owners, contractors, and suppliers to implement lean production systems. Current initiatives include developing serious games for mistakeproofing training, optimizing work density methods for heavy civil projects, and creating digital twins for real-time construction management.
Mustafa Bilgic is a Professor and Chair of the Computer Science Department at Illinois Institute of Technology, where he also directs the Master of Artificial Intelligence program and the Machine Learning Laboratory. His research focuses on machine learning, active learning, explainable AI, and probabilistic graphical models, with applications in healthcare, social media analysis, and biomedical engineering. He has received funding from NSF, NIH, and Samsung, among others. Education: PhD in Computer Science, University of Maryland at College Park (2010) M.S. in Computer Science, University of Maryland at College Park (2006) B.S. in Computer Science, University of Texas at Austin (2004, with High Honors and Special Honors) Research Highlights: Dr. Bilgic's work emphasizes AI ethics, algorithm transparency, and interactive machine learning systems. Notable projects include analyzing political news engagement dynamics and developing frameworks for eliminating explanation noise in AI models. His lab explores tools like OrganoID for tracking organoid growth and IDGI for improving model interpretability. Awards: NSF CAREER Award (2014) ACM SIGKDD Best Student Paper Award (2008) Illinois Tech College of Computing Teaching Excellence Award (2021) Teaching and Leadership: Bilgic teaches advanced courses in AI, machine learning, and data mining. He leads initiatives to bridge AI theory and practical applications, emphasizing interdisciplinary collaboration. His administrative roles include overseeing the AI master’s program and fostering innovation in computing education.
Dr Dimitrios Tsarapatsanis is a Senior Lecturer at York Law School, University of York. Previously, he served as a Lecturer in Law at the University of Sheffield. He holds an LLB from the University of Athens, an LLM in EU and International Law, and a PhD from Université Paris X-Nanterre. His research focuses on legal theory, human rights, AI ethics, and European law. Education: LLB, University of Athens LLM in EU and International Law, University of Athens DEA in Legal Theory, Université Paris X-Nanterre PhD (summa cum laude), Université Paris X-Nanterre Research Interests: Legal realism, administrative law, judicial decision-making, AI ethics in law, human rights jurisprudence, and bioethical legal issues. His work bridges theoretical jurisprudence with practical legal challenges, particularly in European contexts. Recent work explores the application of natural language processing to predict judicial outcomes and the ethical implications of AI in legal systems. He has also contributed to debates on the European Court of Human Rights' strategies and the legal status of prenatal life. Recipient of the Paul Ricoeur Prize (2009) for his doctoral thesis on prenatal legal personhood. Collaborations: Active in interdisciplinary projects, including the 'AI Law and Ethics: The Challenge of AI Wrongdoing' initiative. His research often intersects with political theory and institutional analysis. Professional Contributions: Fellow of the Higher Education Academy (2018). Previously practiced law in Greece, focusing on EU law and human rights cases.
Professor Joseph Wood is a Professor of Visual Analytics at City St George's, University of London, where he serves as a founding member of the giCentre. His academic career spans over three decades, with continuous contributions to Geographic Information Science and visualization since 1990. He previously served as Head of Department for Computer Science at City University between 2014 and 2017. Professor Wood's educational background includes a PhD in Geographical Information Science from the University of Leicester (1996), an MSc in the same field from the University of Leicester (1990), and a BSc in Physical Geography & Geology from the University of Sheffield (1989). His academic progression shows steady advancement from Research Scholar at the University of Leicester (1990-1992) through various lecturer and senior positions to his current professorship. His research interests center on visual analytics and data visualization, with particular expertise in geographic information science and terrain analysis. Professor Wood has developed innovative methods bridging GI Science, Data Visualization, and education domains. His specific interests include narrative of visual analytic design, computational thinking in pedagogy, and novel visualization design for geographic data. His work demonstrates a consistent focus on making complex spatial data understandable through innovative visualization techniques. Analysis of Professor Wood's recent publications reveals a strong emphasis on practical applications of visualization techniques across diverse domains including transportation, epidemiology, sports analytics, and historical migration patterns. His work shows an evolution from foundational geographic information science toward broader applications in visual analytics, with increasing focus on narrative structures, responsive design, and accessibility considerations in visualization. The interdisciplinary nature of his research is evident in collaborations spanning computer science, geography, urban planning, and public health domains. Professor Wood has been actively involved in the academic community, serving on organizing and program committees for major international conferences including IEEE Infovis and VAST, Eurovis, GIScience, Spatial Accuracy, and Geomorphometry. His contributions to the field have been recognized through invitations to deliver keynote talks at prestigious venues ranging from GeoComputation to TEDx, where he presented on topics such as visualizing movement behavior of cyclists. As an advisor, Professor Wood has supervised numerous PhD and Master's students, with current supervision of Julia Crossley (Student conceptualisation of abstraction in computer science) and Jude Nzemeke (Understanding student misconception in recursive algorithmic thinking). His extensive supervision history includes completed PhDs on topics ranging from cycling behavior to spatio-social relations in photographic archives. His academic leadership extends to software development, with contributions to tools like litvis, elm-vega/el-vegalite, giCentre Utils, handy, and LandSerf GIS. Professor Wood is an active member of professional organizations including IEEE (2007-present), Association of Computing Machinery (ACM) (2007-present), and Association of Geographic Information (AGI) (1997-present), demonstrating his commitment to interdisciplinary collaboration across computer science and geographic information domains.
Dr. Apostolos Chronopoulos is a Senior Lecturer in Intellectual Property Law at Queen Mary University of London's School of Law, affiliated with the Centre for Commercial Law Studies. He holds degrees from Athens University (LLB), King's College London (LLM), and Ludwig Maximilian University of Munich (Dr. jur.). His research focuses on intellectual property law, particularly trademark law, patent law, and their intersections with competition law and economic analysis. Chronopoulos' work addresses complex issues such as trade dress functionality, trademark exhaustion, and the doctrine of equivalents in patents. He emphasizes balancing economic considerations, legal frameworks, and competitive dynamics. His recent publications include Judicially Crafted Property Rights in Valuable Intangibles (2024) and Trade Dress Functionality (2023). He contributes to academic institutions like the Queen Mary Intellectual Property Research Institute (QMIPRI) and maintains an active research profile through SSRN. His scholarship explores theoretical and practical aspects of intellectual property, including free-riding prevention, legal doctrines, and cross-jurisdictional analysis.
Megan Crawford is a Lecturer at Edinburgh Napier University's Business School, specializing in Data Science and Scenario Planning. She serves as Principal Investigator of the Futures and Analytics Research (FAR) Hub and Deputy Lead of Enterprise Data Intelligence & Analytics within the Centre for Business Innovations and Sustainable Solutions (CBISS). In 2023, she became Turing Academic Liaison for the Business School following Edinburgh Napier's membership in the prestigious Turing University Network. Dr. Crawford's educational background includes a PhD in Management Science from the University of Strathclyde, an MSc in Behavioural & Economic Sciences from Warwick University, and joint BAs in Cognitive Psychology and Philosophy from Texas A&M University-Corpus Christi. Her research focuses on how individuals and organizations frame decisions about the future, structured group techniques for optimization, and strategy development with AI integration, all approached through behavioral and complexity science lenses to advance UN Sustainable Development Goals. Her research output reveals a consistent focus on scenario planning methodology, cognitive biases in future thinking, and the application of structured group techniques. Recent publications show increasing emphasis on AI integration with scenario planning, pandemic response scenarios, and developing frameworks for evaluating scenario quality. Her work spans theoretical development of scenario typologies alongside practical applications in organizational settings. As Turing Academic Liaison, Dr. Crawford bridges Edinburgh Napier's research with the UK's National Institute for AI and Data Science. She has established the FAR Hub as an inclusive online learning center focused on advancing digital literacy, particularly addressing digital poverty concerns across the UK through partnerships with organizations representing underrepresented populations. Dr. Crawford actively supervises doctoral students, including external PhD candidates at Mary Immaculate College, Northumbria University, and collaborative projects with Universidad Maimónides and Harvard University. Her supervision topics span AI in education, banking compliance, and cross-cultural memory studies, reflecting her interdisciplinary approach.
Isabelle Le Breton-Miller is a Full Professor at the Department of Management, HEC Montréal. She holds the Chair on Succession and Family Business and serves as Website Manager for From Dream to Succession Training. She earned her PhD in Management from Imperial College London and an MSc in Management and Human Resources Management from HEC Montréal. Expertise: Family business, management, business strategy. Research Focus: Succession planning, governance structures, ethical dynamics, and competitive strategies in family firms. Her recent research explores topics such as CEO religion and CSR , green practices in family firms , and ethical bifurcation during crises . She collaborates extensively with Danny Miller and other scholars on publications in journals like Journal of Business Ethics and Entrepreneurship Theory and Practice . Scientific Awards: FERC Lifetime Influence and Impact Award (2021) Elsevier-Mendeley Top 2% Influential Researchers (2021) Academy of Management and IFERA Best Paper Awards (2021) She has supervised doctoral and master’s research, including studies on relational management in family businesses and professionalization processes in family enterprises . Her teaching includes seminars on family business research and management methodologies.
François Lévêque is a Professor of Economics at the Center for Industrial Economics (CERNA) at MINES ParisTech. His primary affiliation is with the university's research center focused on industrial economics, energy policy, and regulatory frameworks. Research Interests: Lévêque's work spans Energy Economics, Antitrust, Intellectual Property, and Regulatory Economics. He has extensively studied nuclear power economics, competition policy, and the implications of market structures in energy sectors. His recent work addresses global energy challenges, such as gas market integration and nuclear safety compliance. Key Publications and Awards: He authored Hyper-powerful companies - Giants and Titans, the end of the global model? (2021), which won the 2021 High School Economics Prize. His research has appeared in journals like Energy Policy , Journal of Environmental Economics and Management , and Concurrences , focusing on topics such as EU energy policy, nuclear accident probabilities, and antitrust enforcement. Grants and Roles: Lévêque coordinated EU projects like CESSA (Security of Supply) and contributed to studies on ecological tax reforms. He advises on energy regulation, competition policy, and intellectual property issues for entities like DG Comp (EU) and the OECD. Labs and Teams: He is part of CERNA's research teams, including the Chair in European Natural Gas Economy and the Energy Efficiency Economics group. His work intersects with interdisciplinary projects on climate adaptation and industrial policy.
Peter Ritchken is a Professor of Banking & Finance at the Weatherhead School of Management, Case Western Reserve University, where he holds the Mario J. Gabelli Distinguished Professorship in Finance. He joined the faculty in 1981 after completing his PhD at Case Western Reserve University and has established himself as a leading scholar in finance, particularly in derivatives, risk management, and fixed income markets. His research interests span several key areas in finance: Fixed Income and Term Structure Models Risk Management in Financial Markets Contingent Claims Valuation Real Options Risk Management in Supply Chains Credit Risk Management Capital Structure Ritchken's scholarly work focuses on understanding price determination in capital markets, risk management strategies for firms across various dimensions (market risk, interest rate risk, credit risk, and operational risk), and the rationale for derivative usage. His research employs sophisticated mathematical finance techniques to address practical financial problems, with applications in banking regulation and supply chain management. He has developed influential models for pricing interest rate claims, implementing stochastic volatility option models, and solving real option problems. His publications appear in top finance journals including the Review of Financial Studies, Management Science, Journal of Finance, and Mathematical Finance. His recent work has increasingly focused on the intersection of operations management and finance, particularly examining how supply chain dynamics interact with financial decision-making. Ritchken has received significant recognition for his contributions: 2014 University Research Award, Weatherhead School of Management Weatherhead Excellence in Teaching Award, 2011 As an educator, Ritchken has made substantial contributions to finance education. He is the founder and director of the Weatherhead School of Management Master of Science in Management-Finance (MSM-Finance) program. He teaches across multiple programs including the MBA, executive MBA, MSM-Finance, and PhD of Finance and Operations Research. His courses cover Risk Management, Derivatives, Fixed Income, Mortgage and Credit Markets, Mathematical Finance, Investment Management, Real Options, and Quantitative Finance. He has also conducted executive education programs worldwide, including in the United States, Europe, Asia, and Australia. Ritchken serves as a research scholar for the Research Department at the Federal Reserve Bank in Cleveland and acts as Faculty Advisor for GARP (Global Association of Risk Professionals). He has consulted with large investment banks and brokerage firms, bridging academic research with practical industry applications.
Ted Tschang is Associate Professor of Strategic Management at Lee Kong Chian School of Business, Singapore Management University. His research examines innovation processes across creative industries, with particular focus on design thinking, business model innovation, and the organization of innovation systems. Research Domains: Platform ecosystems and digital entrepreneurship AI's impact on employment and automation Video game development as innovation model Creative industry globalization His recent work investigates how COVID-19 accelerated AI disruption and the role of entrepreneurs in expanding platform ecosystems. Tschang's empirical studies span virtual worlds, gaming prototypes, and creative outsourcing networks.
Panagiota Nasiopoulou serves as a Lecturer in pedagogy at Södertörn University, specializing in preschool education research and teacher training. Her work investigates structural determinants of preschool quality, including group organization, teacher competence, and curriculum implementation within the Swedish educational context. She earned her PhD in Child and Youth Studies from the University of Gothenburg in 2020, with doctoral research examining preschool teachers' decision-making regarding group division and curriculum content under varying structural conditions. Dr. Nasiopoulou's research program centers on preschool quality assessment through structural lenses, with particular emphasis on quantitative analysis and mixed-methods approaches. Her investigations consistently explore how factors like group size, teacher education levels, and organizational frameworks influence pedagogical practices and child outcomes. She maintains a strong focus on practical applications for improving preschool environments through evidence-based insights. Analysis of her publication record reveals sustained investigation into ECERS-3 quality assessment applications, teacher professional profiles, and curriculum implementation challenges in Swedish preschools. Her work demonstrates methodological diversity through quantitative analyses, observational studies, and policy critiques, consistently linking structural conditions to educational quality outcomes. Her teaching portfolio spans preschool teacher education courses covering historical perspectives on educational ideals, interculturality, educational documentation, and quality development processes. She also contributes to doctoral education through methods instruction in Educational Science Studies, emphasizing rigorous research design applicable to early childhood contexts. While specific laboratory affiliations or research teams aren't documented in available materials, her collaborative publications with researchers like Sheridan, Williams, and Mellgren indicate active participation in interdisciplinary early childhood research networks focused on Swedish preschool systems.
Prof. Dr. Bettina Fritzsche is a Professor of General Educational Science with a focus on qualitative research methods at the Institute of Educational Science , University of Education Freiburg. She serves as Dean of Studies, Faculty I, and Head of BA/MA Educational Science programs. Her research examines educational practices through reconstructive methodologies, ethnography, and videography, with particular attention to cultural comparison, vulnerability, and inclusion/exclusion dynamics in pedagogical settings. University: University of Education Freiburg Role: Professor, Dean of Studies, Program Head Departments: Institute of Educational Science Email: bettina.fritzsche@ph-freiburg.de Research Focus: Fritzsche specializes in reconstructive educational research , analyzing teacher-student interactions and institutional norms through a cultural comparative lens . Her work applies Judith Butler's recognition theory to study how heterogeneity and inequality manifest in schools, particularly through policies aimed at inclusion. She investigates meta-ethnographic synthesis and methodological pluralism to understand cross-cultural educational practices. Article Trends: Her publications emphasize praxeological approaches to schooling, ethnographic case studies , and transnational educational comparisons . Key themes include vulnerability production , symbolic exclusion , and pedagogical border-drawing , with methodological innovations in videography and cultural translation .
Joy Lu is an Assistant Professor of Marketing at the Tepper School of Business, Carnegie Mellon University, where she has been a faculty member since July 2018. She also held the Xerox Junior Faculty Chair position from July 2023 to July 2024. Her research focuses on consumer behavior, information search processes, and digital media consumption patterns, with particular expertise in eye-tracking methodologies and online learning environments. Education: PhD in Marketing/Dual AM in Statistics, University of Pennsylvania, 2018 BS in Economics and Engineering & Applied Science, California Institute of Technology, 2013 Dr. Lu's research examines how consumers navigate information in digital environments, with a particular focus on eye-tracking studies of web page interactions. She has made significant contributions to understanding binge-watching and media consumption patterns, exploring how consumers plan and allocate time for future media consumption. Her research on online learning investigates how different content delivery formats affect learner engagement and outcomes. Additionally, she has explored topics in algorithmic transparency and how explainable AI can aid consumer decision making, particularly for vulnerable populations. Analysis of Dr. Lu's recent publications reveals a strong focus on digital consumer behavior, particularly how users interact with online content. Her work combines rigorous experimental methods with sophisticated modeling approaches to understand complex decision processes. A recurring theme is how consumers allocate attention and time in digital environments, whether for shopping, learning, or entertainment. Her research has important implications for website design, educational platform development, and content delivery strategies across multiple industries. Scientific Awards: 2020 Carnegie Bosch Institute Research Award 2019 Carnegie Bosch Institute Research Award 2013 David M. Grether Prize in Social Science Russell Ackoff Doctoral Student Fellowship Patty and Jay H. Baker Ph.D. Fellowship Innovative Models for Undergraduate Research Fellow (2020-2021) Dr. Lu serves on the editorial board of the Journal of Marketing Research and has conducted peer reviews for prestigious journals including PLoS ONE, Journal of the Academy of Marketing Science, and the Journal of Marketing Research. She has also reviewed for major conferences including the Society for Consumer Psychology and the Association for Consumer Research. Her research has been supported by grants from organizations such as the Jay H. Baker Retailing Center and the Wharton Behavioral Lab at the University of Pennsylvania. While specific laboratory information isn't provided in the available text, Dr. Lu's research involves sophisticated methodologies including eye-tracking experiments and analysis of large-scale user behavior data from online platforms. Her work suggests collaboration with interdisciplinary teams spanning marketing, psychology, and information systems to investigate complex consumer decision processes in digital environments.
