Prof. Dr. Peter Buxmann is a full professor of business informatics at the Technical University of Darmstadt, holding the Chair in this field. He is an internationally renowned speaker, senior business advisor, and podcaster for the Frankfurter Allgemeine Zeitung. His roles include advisory board memberships for institutions like the Weizenbaum Institute for the Networked Society and Eckelmann AG. His research focuses on AI applications, digital transformation, and future work paradigms, with over 300 publications in top journals and conferences. Education: PhD and habilitation from University of Frankfurt, including a research stay at UC Berkeley's Haas School of Business. Previous positions: Professor at Technical University of Freiberg (2000-2004). Research Interests: Artificial Intelligence (applications in business, healthcare, and ethics), Digital Transformation (organizational and societal impacts), Data-Driven Business Models (platform economics, innovation ecosystems), and Future of Work (human-robot collaboration, agile principles). Keynote Topics: Generative AI and its industry applications Strategic digital transformation frameworks Ethical AI governance Labs/Teams: Leads the HIGHEST innovation center at TU Darmstadt and collaborates with TechQuartier Frankfurt. Founded multiple startups focusing on AI solutions.
Chyrell D. Bellamy, PhD, MSW is Professor of Psychiatry at Yale University's Department of Psychiatry and Director of the Yale Program for Recovery and Community Health (PRCH). She also serves as Director of Peer Support Services & Research and Director of the Yale Lived Experience Transformational Leadership Academy (LET(s)Lead). Additionally, Dr. Bellamy functions as a Senior Policy Adviser for the Office of the Commissioner for the State of Connecticut Department of Mental Health and Addiction Services (DMHAS). Yale School of Medicine, Department of Psychiatry Yale Program for Recovery and Community Health (PRCH) Yale Lived Experience Transformational Leadership Academy (LET(s)Lead) Connecticut Mental Health Center Center for Brain & Mind Health Dr. Bellamy's research expertise centers on community-based participatory research and co-design with communities of color and individuals living with psychiatric illness, substance use disorders, HIV, homelessness, and incarceration histories. Her work focuses on healthcare disparities, sociocultural pathways of recovery, development of culturally responsive interventions, qualitative research methods, and community/clinic-based psychosocial and wellness interventions. She brings personal and professional expertise as a frontline service provider, clinician, social worker, and community organizer, openly identifying as a person with lived experience of multiple marginalized identities including mental illness, trauma, and addictions. Dr. Bellamy's publication record demonstrates significant contributions to mental health equity, with a focus on culturally responsive interventions for marginalized populations. Her research trends show a consistent emphasis on community-driven approaches, particularly through initiatives like Harambee (a wellness intervention for serious mental illness) and Imani Breakthrough (a faith-based opioid recovery program). Her recent publications increasingly incorporate technology and AI considerations in mental healthcare while maintaining strong community engagement principles. The breadth of her work spans from local Connecticut implementations to international collaborations in Brazil. PCORI award for co-located primary care for people with mental illness NIMH R34 award for whole health intervention mechanisms CT DMHAS/SAMHSA State Opioid Recovery funds for Imani Breakthrough program NIH Common Fund/NIDA grant for culturally responsive substance use recovery NIH R34 grant for peer support implementation in Brazil NIH NIMHD grant for Recovery Finance study Dr. Bellamy actively mentors researchers through her leadership roles and directs multiple federally funded research initiatives. Her work with the Yale Program for Recovery and Community Health has secured substantial grant funding from NIH, PCORI, NIMH, and state agencies, focusing on innovative approaches to mental health and substance use recovery. Her research portfolio demonstrates strong community partnerships and a commitment to translating research into practice through programs like LET(s)LEAD, which provides leadership training for people with lived experiences. Dr. Bellamy leads the Yale Program for Recovery and Community Health, which operates through a collaborative network of researchers, community members, and practitioners. Her work with the Lived Experience Transformational Leadership Academy (LET(s)LEAD) represents a significant team-based approach that centers lived experience in research and service delivery. She collaborates extensively with community organizations, particularly faith-based institutions serving Black and Latinx communities, and maintains international partnerships in Brazil for mental health system transformation.
Dr. Jiabin Luo is a Senior Lecturer in Business Analytics at Aston University's Aston Business School, within the College of Business and Social Sciences. She holds a PhD in Management Science from the University of Southampton and has held academic and research roles at institutions including Coventry University and De Montfort University. Her research focuses on optimization and decision-making in logistics, supply chain management, maritime shipping, and production planning. She is Programme Co-Director of the MSc Degree Apprenticeship in Digital & Technology Solutions Specialist. Education: PhD in Management Science, University of Southampton, UK MSc in Risk and Stochastics, London School of Economics and Political Science, UK MSc in Statistics, University of Nottingham, UK BSc in Mathematics, Zhongshan University, China PGCert in Learning and Teaching in Higher Education Research Interests: Transportation and logistics optimization Maritime shipping and port operations Production planning and inventory management Supply chain management and sustainability Fuzzy optimization and scenario-based modeling Recent Research Trends: Her work emphasizes optimization techniques in logistics systems, including automated container terminals, intermodal transport, and risk management. Recent articles explore machine learning for credit risk prediction and geospatial analysis of traffic datasets. Awards and Memberships: Fellow of The Higher Education Academy Member of The Operational Research Society Member of British Academy of Management Grants and Collaborations: Newton Researcher Links: Strategy & Policy Innovation in Supply Chain Management (2018) Newton Researcher Links: Emission Control in Green Port Development (2017) EPSRC Grant: Resilience of Manufacturing Supply Networks (2013–2016)
Zhang Yan is a Full Professor at the Department of Informatics, University of Oslo, Norway. He previously served as Head of Department and Chief Scientist at Simula Research Laboratory (2014–2016). His research focuses on advanced communication technologies including Internet of Things (IoT), 5G/6G networks, mobile edge computing, and blockchain applications. He has held significant roles such as IEEE VTS Distinguished Lecturer (2016–2020) and Chair of IEEE TCGCC (2019–2021). His honors include IEEE Fellow (2020), election to Academia Europaea (2020), and recognition as a Web of Science Highly Cited Researcher (2018–2019). Research interests span interdisciplinary areas like network dynamics, socio-economic systems, and algorithmic design. His work bridges theoretical foundations with practical applications in smart grids, vehicular networks, and global trade systems. Recent publications emphasize network science methodologies applied to economic complexity and information diffusion. Professional contributions include editorial roles for top journals and leadership in EU-funded projects. His awards reflect impactful contributions to both technical innovation and scientific leadership in informatics and communications.
Fatima Fabião is an Assistant Professor at the Lisbon School of Economics and Management (ISEG), University of Lisbon, where she has been affiliated since 1990. Her work bridges mathematical methodologies with economic and financial theory, focusing on growth models, optimal control, and differential equations. She teaches courses in mathematical analysis, difference equations, and complex equations in economics and management programs. Affiliations: ISEG – University of Lisbon (since 1990) Roles: Course coordinator for key subjects like Mathematical Analysis III and Difference Equations Her research explores economic growth dynamics through modified Solow models incorporating time delays, optimal resource extraction strategies via control theory, and financial applications of Black-Scholes equations. She has also contributed to pedagogical innovations integrating mathematical logic into primary education.
Ranjodh Singh is a Senior Lecturer at the School of Accounting, Economics and Finance within the Faculty of Business and Law at Curtin University. He holds a BSc (Hons) and PhD in disciplines relevant to his research focus. His teaching responsibilities include undergraduate and postgraduate courses in Data Analytics and Econometrics, and he supervises Honours, Masters, and PhD students in these areas. Ranjodh’s research interests center on Applied Econometrics , Applied Statistics , and Housing Economics . His work explores topics such as housing market dynamics, policy impacts on mental wellbeing, Indigenous mobility, and nonlinear econometric modeling. Recent studies include analyzing rental subsidy effectiveness, cannabis-tobacco consumption linkages, and post-pandemic housing demand shifts. His publications span leading journals like Housing Studies , International Journal of Housing Policy , and Journal of Population Economics . He frequently collaborates with researchers across disciplines, including economists, statisticians, and sociologists. His research has addressed policy-relevant issues such as rental affordability, remote infrastructure planning, and pandemic-driven economic shifts. Ranjodh’s contributions extend to major research initiatives like the AHURI Final Reports series, focusing on housing stress and Indigenous community needs. His methodologies blend traditional econometrics with machine learning advancements, as seen in his work on nonlinear models and forecast combinations.
Prof. Dr. hab. Marek Pawlak is a tenured Professor at the Department of Business Management , Institute of Journalism and Management , Faculty of Social Sciences , John Paul II Catholic University of Lublin . He holds academic degrees including MBA, Technical University of Lublin (1980) PhD, Technical University of Gdańsk (1987) Hab. PhD, Institute of Organization and Management in Industry, Warsaw (1997) Professor, Institute of Organization and Management in Industry, Warsaw (2009) His research focuses on Corporate Governance Computer Sciences Application in Management Business Ethics Strategic Management Project Management . His recent publications analyze generational changes in family business leadership, tax haven usage by multinational corporations, and moral development indices of future leaders. He has coordinated international projects like TEMPUS JEP 04214 and received grants from the Polish Ministry of Science and Higher Education on topics including genetic algorithms for production scheduling and CSR impact on consumer behavior. He has served as a Vice-Dean at both Technical University of Lublin and John Paul II Catholic University of Lublin. Professional activities include multiple Erasmus+ teaching assignments at Spanish institutions (Universidad Francisco de Vitoria, University of Seville) and industry consultancy roles. His scientific work spans 40+ years with over 140 publications, including books like Zarządzanie projektami (PWN, 2006) and Zarządzanie grupą przedsiębiorstw (KUL, 2015).
Stefan Thomas is a Professor at the Law Faculty of Eberhard Karls University Tübingen, holding the Chair in Private Law, Commercial Law, Competition and Insurance Law since 2009. He serves as Director of the Tübingen Research Institute on the Determinants of Economic Activity (TRIDEA) and holds affiliations with the Institute for Global Law, Economics and Finance (Queen Mary University of London) and the Center for Advanced Studies on the Foundations of Law and Finance (Goethe-Universität Frankfurt). Johannes Gutenberg University Mainz: Dr. iur. (2004, summa cum laude) German Lawyer Qualifications: First State Examination (2000), Second State Examination (2002) His research focuses on antitrust law , particularly merger control , algorithmic collusion , and integrating sustainability into competition analysis . He examines the role of competition in balancing economic efficiency and societal goals , with recent work on AI in legal design and shipping costs in platform retail . Key article trends reveal: digital economy challenges (2024), sustainability and antitrust (2023), algorithmic pricing (2022), and merger jurisprudence (2021). Collaborations with Roman Inderst and Felix Rhiel are frequent. 2021: Antitrust Writing Awards (Academic Articles/Mergers) 2005: Peregrinus Stiftung Prize for dissertation He co-edits the Zeitschrift für Wettbewerbsrecht (ZWeR) and leads the AI MEETS LAW platform. His teaching includes advanced civil law courses and specialized competition law programs at Tübingen University.
Assoc. Prof. Meltem Gürünlü serves as a faculty member and department head of the Department of International Trade and Finance (Eng.). She has conducted Erasmus teaching mobility at the University of Split, Croatia (May 2023), delivering a seminar on legislative-environment interactions and strengthening academic ties. Her research focuses on corporate finance, behavioral finance, sustainability, and emerging markets, with particular attention to digital transformation, corporate governance, and fintech innovations. Recent work explores topics like cryptocurrency ecosystems, green bonds, and the future of financial systems. Her academic contributions span over 40 publications since 2007, addressing themes such as capital structure dynamics, foreign ownership impacts, and the role of technology in finance. Key areas include analyzing business groups' financial behaviors, evaluating earnings management practices, and investigating investor perceptions of sustainability initiatives. Her work bridges theoretical frameworks with empirical evidence, often using Turkish market data (e.g., Borsa Istanbul). Notably, Prof. Gürünlü’s research highlights interdisciplinary intersections—e.g., blockchain’s governance implications, renewable energy financing challenges, and the ethical dimensions of AI in finance. Her scholarship emphasizes practical policy recommendations for regulatory frameworks and corporate strategies in evolving financial landscapes.
Koen Van Dam is a Research Fellow at Imperial College London's Department of Chemical Engineering, part of the Urban Energy Systems group within the Faculty of Engineering. His work focuses on agent-based modelling of socio-technical systems to support decision-making in urban energy and transport infrastructure design. He leads the SEF05 Urban Energy Systems module in the Sustainable Energy Futures MSc program and co-organizes computational social science summer schools. Koen has held visiting researcher positions at the National University of Singapore and TU Delft, and previously served as president of Eurodoc (European council for doctoral candidates). Education: MSc in Artificial Intelligence (Vrije Universiteit Amsterdam), PhD from TU Delft (2009) with thesis on agent-based modelling of socio-technical systems. Research interests emphasize integrating spatial/temporal data across energy and transport sectors to model urban systems at multiple scales. Projects include: FCDO Climate Compatible Growth (CCG) project COP26 Rapid Response Facility technical lead EPSRC-funded Digital City Exchange (DCE) and IDLES projects resilience.io (DFID project) Key contributions include decision support tools for: Electric vehicle infrastructure planning Low-carbon energy systems Smart district design Post-pandemic urban resilience Awards: None explicitly listed, though his extensive project leadership indicates recognition in sustainability research. Advising: Supervised over 40 MSc/MEng projects on smart cities, energy demand, EVs, bioenergy, and resilient infrastructure. Active in education through master's course leadership and international summer schools. Labs/Teams: Affiliated with Energy Futures Lab, Network of Excellence in Air Quality, and the Artificial Intelligence Climate Compatible Growth initiative.
Professor Di Luo holds dual roles as a Visiting Professor at the University of Southampton's Southampton Business School and as Professor (Chair) of Finance and Economics at the University of Dundee's Business School. He is also the Associate Dean of People & Culture at Dundee and serves as Associate Editor of the Journal of Sustainable Finance and Investment . His research focuses on asset pricing, behavioral finance, ESG, and Fintech, with recent projects addressing sustainability, ambiguity in financial markets, and cryptocurrency mechanisms. Di completed his PhD in Finance at Nottingham University Business School, alongside a MSc and BSc in Finance from Nankai University, China. He has published extensively in top-tier journals such as the Journal of Banking & Finance and European Financial Management . His teaching experience includes leading modules on portfolio management and derivatives at the University of Southampton, where he also earned HEA Fellowship and PGCAP qualifications. Di supervises MSc and PhD students at Southampton Business School, including current PhD candidate Xiaohan Yu. He has held roles such as MSc Risk and Finance Programme Leader and EDI Champion for the South Coast Doctoral Training Program. His external engagement includes speaking at the 2022 Frontiers of Development Conference.
Serena Ng is the Edwin W. Rickert Professor of Economics at Columbia University and an Affiliated Faculty member in the Department of Statistics. Her research spans econometrics, empirical macroeconomics, time series analysis, and big data methods, with a focus on factor models, missing data, and macroeconomic forecasting. She has developed influential datasets such as FRED-MD and FRED-QD, widely used in macroeconomic research. Her research interests include: High-dimensional econometric modeling Factor analysis and principal components Missing data and matrix completion Dynamic modeling of disasters and climate shocks Macroeconomic forecasting and nowcasting Structural vector autoregressions and DSGE identification Her recent publications (2021–2025) reflect a strong trend toward integrating machine learning and computational methods into econometric modeling, particularly in handling large datasets, imputing missing values, and analyzing the macroeconomic impact of climate and disaster shocks. She has also contributed to foundational work in uncertainty measurement and time-varying parameter models. Her scientific contributions are recognized through extensive publication in leading journals. While no specific awards are listed, her editorial and collaborative roles (e.g., with the Journal of Econometrics) indicate high standing in the profession. She advises doctoral students in economics and statistics, though no names are publicly listed. She has received funding from major institutions including the National Science Foundation and NIH for interdisciplinary research. Her work bridges econometrics with environmental and health economics, particularly in projects related to climate adaptation and disaster impacts. She maintains a laboratory-like research group focused on macroeconometric modeling and big data analysis, contributing to the development of tools for real-time economic monitoring and policy analysis.
Gary L. Darmstadt, MD, MS, is a Professor (Teaching) of Pediatrics (Neonatology) at Stanford University School of Medicine and holds a courtesy appointment in Obstetrics & Gynecology. He serves as Associate Dean for Maternal and Child Health and leads the Global Center for Gender Equality at Stanford. His career spans academic medicine, global health leadership at the Bill & Melinda Gates Foundation, and pioneering work in newborn health research. Education & Training: MD from UC San Diego, MS in Agronomy from University of Wisconsin, and residency in Pediatrics at Johns Hopkins. Advanced training includes Dermatology at Stanford and Pediatric Infectious Disease at University of Washington. Research Focus: Advances in maternal and child health, neonatal survival, gender equality in global health, and application of artificial intelligence to health equity challenges. Key projects include The Lancet Series on Gender Equality, Grand Challenges for Women's Health, and interventions to reduce neonatal infections in low-resource settings. Publications & Impact: Over 245 peer-reviewed articles, including landmark studies on neonatal infection mortality, preterm birth biomarkers, and gender norms' impact on health outcomes. Recent work emphasizes machine learning applications in global health diagnostics and policy. Awards & Recognition: Recipient of prestigious honors such as the 2021 Johns Hopkins Outstanding Alumnus Award, 2017 UC San Diego Alumnus of the Year, and multiple Gates Foundation awards for innovative programs. Leads global advisory roles at WHO, UNICEF, and the Global Mental Health Council. Current Roles: Member of Bio-X, Stanford HAI, and Wu Tsai Neurosciences Institute. Oversees interdisciplinary initiatives like the Global Center for Gender Equality and co-directs global pediatric research programs.
Filippo Celata is a Full Professor at the Department of Methods and Models for Economy, Territory and Finance , Faculty of Economics , Sapienza University of Rome. He coordinates the PhD program in Geografia Economica e Statistica Territoriale and the Dottorato Modelli per l'Economia, il Territorio e la Finanza . Researcher since 2006, Full Professor since 2021 Editor-in-Chief of Rivista Geografica Italiana Coordinator of multiple research projects including PNRR PE CHANGES and Horizon Marie Curie Staff Exchange Media presence in Corriere della Sera , Wall Street Journal , Rai TV networks, and international outlets His research focuses on urban and regional economies , sociospatial inequalities , and spatial data analysis , with particular emphasis on: Platform economy's impact on urban housing Critical geographies of the Mediterranean Climate change adaptation in coastal areas Post-pandemic urban governance Digital geographies and algorithmic mediation Community-led sustainability initiatives Recent publications examine: Short-term rental dynamics in European cities Italian radical geography's historical roots Climate crisis effects on coastal territories Digital platforms' role in spatial commodification Community gardening regulation in Rome He coordinates PhD workshops and seminars on economic geography, with a methodology focused on: Multi-level governance analysis Critical policy evaluation Decolonizing geographical traditions Qualitative-quantitative data integration
Yiding Wang is an Assistant Professor in the Department of Accounting and International Business at the Marilyn Davies College of Business, University of Houston-Downtown, holding a Ph.D. in Business Administration from the University of Oklahoma and maintaining active CPA certification through the AICPA. Her academic credentials include: Ph.D. in Business Administration, University of Oklahoma M.S. in Taxation, Gonzaga University B.S. in Economics, Brigham Young University Professor Wang's research integrates technical accounting practices with human behavioral dimensions, focusing on: Financial disclosure mechanisms and market impacts Employee-perception dynamics in earnings benchmarking Ethical reputation effects on career development Algorithmic trading influences on corporate reporting Her work examines how algorithmic systems reshape forward-looking disclosures, how psychological factors affect earnings interpretations, and the tangible career implications of organizational ethics. Her 2023-2024 publications reveal a cohesive research trajectory bridging quantitative accounting methods with behavioral insights, appearing in premier outlets like the Journal of Accounting Research and Journal of Business Ethics. This dual focus demonstrates increasing scholarly impact at the intersection of financial reporting standards and human decision-making processes. Her research excellence has been recognized through: Consecutive Excellence in Research Awards from the Marilyn Davies College of Business (2023-2024) Top paper awards at American Accounting Association meetings (2021-2022) Academy of Management SIM Track Best Paper Award (2022) Doctoral teaching recognition from the Michael F. Price College of Business (2021) As an educator, Professor Wang teaches graduate-level Advanced Auditing courses while maintaining active research programs; her CPA certification and award-winning scholarship demonstrate exceptional integration of professional practice and academic rigor in accounting education.
