Gregory Van Seghbroeck is a postdoctoral researcher at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology (EA05). His work focuses on cloud computing, big data systems, and smart city infrastructure. Affiliation: Ghent University, IMEC research group Research Trends: Data placement optimization, workflow management, low-latency querying, cloud-native architectures He has supervised doctoral projects including Thomas Vanhove (2018), Leandro Ordonez Ante (2022), and currently advises Stan De Groeve (2025-2026). Key publication themes include: Interactive querying for latency-sensitive applications Geo-distributed data/cloud resource allocation Workflow orchestration frameworks (BRAHMA, SpeCH) Smart city data infrastructure
Ludovico Carrino is an Associate Professor of Public Economics at the University of Trieste and holds affiliations with King’s College London and Ca’ Foscari University of Venice. He is a Research Fellow at King’s, an Adjunct Professor at the University of Trieste, and a Consultant for the World Health Organization’s Kobe Centre. His research focuses on the economics of aging, long-term care, pensions, and mental health policy, with a strong emphasis on applied health economics and policy evaluation. Education: PhD in Economics from Ca’ Foscari University (2015), Master’s and Bachelor’s in Economics from the University of Trieste. Key roles: Co-investigator on projects like IN-CARE (EU-funded) and WORKLONG (ESRC-funded), leading research on aging populations and policy impacts. Research interests include the social and economic determinants of health, particularly in aging populations. He has published extensively on long-term care systems, pension reforms, and the mental health impacts of public policies. Notable projects include evaluating the UK’s Campaign to End Loneliness and studying the effects of extended working lives on health. His work has been disseminated through high-impact journals like Health Economics , Journal of Epidemiology and Community Health , and American Journal of Geriatric Psychiatry . He has also engaged with policymakers through advisory roles and media contributions, addressing topics such as pension reform and long-term care equity. Teaching responsibilities include courses in public economics, macroeconomics, and data analysis at the University of Trieste and King’s College London. He has supervised numerous doctoral and postgraduate students, contributing to their academic and professional development.
Julia Gutierrez is an Assistant Professor in the Department of Women's, Gender, and Sexuality Studies at Agnes Scott College, where she contributes to interdisciplinary scholarship at the intersection of poverty, immigration, and gender. Her research centers on Latina immigrant women’s experiences with poverty in urban U.S. contexts, particularly in Chicago. Her educational background includes a BA from Northeastern Illinois University, an MA from the University of Wisconsin, and a PhD from Arizona State University. These qualifications ground her expertise in feminist social science research. Dr. Gutierrez’s research interests include feminist qualitative methods, transnational feminism, intersectionality, and borderlands theory. She critically examines how poverty is measured beyond income, advocating for multidimensional approaches that incorporate healthcare, housing, food insecurity, and education. Using the Alkire-Foster methodology, she has developed frameworks to assess the depth of poverty in marginalized communities. Her recent publications and presentations reflect a strong trajectory in poverty research, particularly through feminist lenses. The body of work demonstrates consistent engagement with urban poverty, immigrant resilience, and policy implications. Themes across her articles highlight methodological innovation, narrative-centered inquiry, and structural inequality. Presented at major conferences including the American Studies Association, National Women’s Studies Association, and the ACS Data Users Conference. Contributor to the Stanford Center on Poverty and Inequality’s American Voices Project, the largest national mixed-methods study on U.S. poverty. Published in QED: A Journal in GLBTQ Worldmaking and Stanford reports. Dr. Gutierrez teaches courses such as Introduction to Women’s, Gender, and Sexuality Studies, Intersectional Research Methods, and U.S. Women of Color and Economic Inequality. While no formal advisees are listed, her mentorship is evident through her pedagogical focus on equity and inclusion. She has not received named scientific awards, but her research has been supported through institutional collaborations. There is no mention of a lab or research team, though her work suggests collaborative engagement with national research initiatives.
Assistant Professor Süha Tuna is affiliated with Istanbul Technical University at the Institute of Informatics in the Computational Science and Engineering department. She holds a postdoctoral degree from the University of Strathclyde and has been actively involved in academic roles since 2010.
Laura E. Brown is Associate Professor of Computer Science at Michigan Technological University, also serving as Associate Dean for Data Science Initiatives in the College of Computing and Director of the university’s M.S. and B.S. Data Science programs. She is a core member of the Institute of Computing and Cybersystems (ICC), the Ecosystem Science Center (ESC), and the Center for Agile Interconnected Microgrids (AIM). Education Ph.D., Biomedical Informatics — Vanderbilt University M.S., Biomedical Informatics — Vanderbilt University M.S.E., Electrical Engineering & Computer Science — University of Michigan B.S., Engineering — Swarthmore College Research Interests Laura’s scholarship spans artificial intelligence, machine learning, and data science, with theoretical advances tightly coupled to high-impact applications in energy systems (microgrids, power analytics), health and biomedical informatics, and computer science pedagogy. She is passionate about translating algorithmic innovations into real-world deployments that improve sustainability, clinical decision-making, and equitable education. A second major strand of her work centers on educational innovation: developing automated code-critiquing systems, studying their influence on student self-efficacy—especially for women in engineering—and leading campus-wide initiatives such as Carpentries workshops and ICPC programming competitions. Publication Trends Brown’s 2018–2025 publication record reveals sustained productivity in three overlapping domains: (1) AI/ML methodology—hardware prefetching, neural architectures, transfer learning; (2) energy analytics—forecasting coincident peak load, solar irradiance, battery degradation; and (3) computing education—automated feedback, gender studies, curriculum design. Recent emphasis has shifted toward educational technology, with multiple 2023–2025 papers on code critiquers and their psychological impact. Research Funding & Grants NSF Revolution through Evolution: $699 K, PI (2015–2019) DoD Distributed Agent-Based Management of Agile Microgrids: ~$1 M, co-PI (2013–2017) NSF Adaptive Memory Resource Management in a Data Center: $299 K, PI (2014–2017) NSF Microdevice for Rapid Blood Typing without Reagents: $300 K, co-PI (2016–2019) Google Explore CS Research Workshops: $18 K PI / $35 K co-PI (2018–2020) Student Engagement & Leadership Laura co-advises Women in Computing Science (WiCS) , organizes Michigan Tech’s ICPC regional site, and has led Google-sponsored undergraduate research workshops, Summer Youth Programs, and multiple Carpentries training events.
Sharon Wolf is an Associate Professor at the University of Pennsylvania Graduate School of Education, where she holds a joint appointment in the Human Development and Quantitative Methods Division. An applied developmental psychologist, she investigates how poverty and educational environments shape children’s development in the United States and low-income countries, leveraging large-scale randomized controlled trials to evaluate scalable teacher-training and parenting interventions. Education: Ph.D. in Applied Psychology (concentration in Quantitative Analysis), New York University Postdoctoral Research Scientist, Global TIES for Children, New York University National Poverty Fellow, Institute for Research on Poverty, University of Wisconsin–Madison (in residence at U.S. Department of Health & Human Services) Research Interests: Dr. Wolf’s scholarship integrates three strands: (1) designing and rigorously evaluating interventions that improve classroom quality and child learning, (2) developing culturally sensitive metrics for early learning and development, and (3) unpacking how poverty-alleviation policies interact with school quality to influence children’s cognitive and socio-emotional trajectories. Her current projects span Ghana, Côte d’Ivoire, and Nigeria, testing teacher coaching, parental nudges, cash transfers, and targeted instruction models. Recent Publication Trends: Across the 15 most recent articles (2024-2025), a clear emphasis emerges on multi-method, longitudinal field experiments that combine classroom observation, caregiver surveys, and direct child assessments. Themes include teacher labor markets, heat and cognition, food insecurity measurement, and the scaling of behavioral nudges via mobile technology. Collectively this body of work advances both developmental theory and policy by demonstrating causal pathways from adult-focused supports (cash, training, mental-health relief) to measurable gains in school readiness, executive function, and learning persistence. Scientific Awards & Honors: Multiple Spencer Foundation Research Grants Penn Global Research Grant recipient European Research Council Starting Grant Co-Investigator, LEAD project National Poverty Fellow, Institute for Research on Poverty Grants & Current Funding: NSF, Spencer Foundation, Jacobs Foundation, USAID, World Bank, and ERC awards totaling >$15 M active funding Longitudinal follow-ups of QP4G and LEAD cohorts through 2027 Editorial & Leadership Roles: Dr. Wolf serves on the editorial board of the Journal of Applied Developmental Psychology , co-edited a 2024 Nature npj collection on global achievement inequality, and advises ministries of education in Ghana and Côte d’Ivoire on evidence-based scaling strategies.
Dr. Wojciech Roszka is a Lecturer at the Department of Statistics, Poznan University of Economics. He serves on the Committee for Periodic Evaluation of Academic Teachers and contributes to the Polish Statistical Association as a member of the Audit Committee of the Poznan Branch. Current academic affiliation: Poznan University of Economics Primary role: Lecturer in Statistics Committee memberships: Academic Evaluation, Polish Statistical Association Audit Research interests focus on: Academic productivity patterns and systemic inequalities Gender disparities in scientific collaboration and publication Spatial microsimulation and statistical data integration Longitudinal analysis of research careers His publication trends reveal sustained attention to productivity classification, statistical methodology, and socio-economic factors in science, with recent work expanding into environmental transcriptomics and longitudinal faculty evaluation frameworks. Other roles : Office location: Building C, Room 404 Contact: 61 854 36 85
Prof. Dr. rer. pol. Dr. hc Hans-Ulrich Küpper is a full Professor at the Ludwig Maximilian University of Munich, serving on the university’s Board of Directors. He is affiliated with the Department of Business Administration and leads research at the Institute for Production Management and Controlling, with a focus on production management and controlling. Education & Academic Titles: Doctorate in Economics (Dr. rer. pol.) Honorary Doctorate (Dr. hc) Research Interests: His scholarly work centers on the theoretical foundations of controlling , the design of controlling instruments for non-industrial enterprises , the advancement of corporate accounting systems , and corporate ethics . He integrates quantitative and normative perspectives, exploring how ethical considerations permeate accounting and control mechanisms within organizations and universities. Publication Trajectory: Across more than three decades (1973–2007), his publications reveal a steady focus on controlling theory & practice , cost accounting innovations , business ethics integration , and university governance . Recent work (2005-2007) emphasizes value-creation paradigms in business administration and the role of ethics in corporate reporting, reflecting a shift toward multidimensional performance measures and stakeholder accountability. Scientific Awards: No specific awards or honors are listed in the provided material. Advising & Grants: While individual student names are not mentioned, his extensive production of textbooks, exercise books, and edited handbooks indicates significant pedagogical commitment and supervision activities. Details on external grants are not provided. Labs, Teams & Institutional Roles: As a member of the university’s Board of Directors and head of the Institute for Production Management and Controlling, he steers strategic initiatives in research management and academic planning at LMU Munich.
Professor Dr. Andreas Knabe is a Research Professor at the Leibniz Institute for Economic Research Halle (IWH) since June 2016 and holds the Chair of Public Finance at the Faculty of Economics and Business Administration at Otto von Guericke University Magdeburg. He is also a Research Fellow of the CESifo research network. Research Focus: Labor market, social policy, satisfaction research, and regional disparities. Membership: Social Policy Committee of the German Association for Social Policy. Publications: His work includes multidimensional well-being analyses using OECD data, exploring regional inequality and EU funding eligibility.
Mikael Kurula is an Academic Lecturer in Mathematics at Åbo Akademi University, Finland. His research and teaching focus primarily on applied mathematics, with special emphasis on systems theory, control theory, and operator theory. Dr. Kurula's research interests span multiple areas of applied mathematics: Control Theory - particularly model predictive control and robust output regulation Systems Theory - including infinite-dimensional systems and port-Hamiltonian systems Operator Theory - with applications to mathematical systems theory Mathematical Physics - especially related to wave systems and energy-based modeling His recent publications demonstrate a strong focus on time-varying systems, infinite-dimensional control systems, and mathematical foundations of control theory. Kurula has made significant contributions to the theory of port-Hamiltonian systems and model predictive control in Hilbert spaces, with numerous publications in top-tier journals such as IEEE Transactions on Automatic Control and Complex Analysis and Operator Theory. As an educator, Dr. Kurula teaches multiple mathematics courses including: Differentialekvationer (Differential Equations) Sannolikhetslära och statistik (Probability and Statistics) Numeriska metoder (Numerical Methods) Försöksplanering (Experimental Design) Seminarier i matematik (Mathematics Seminars) Talteori (Number Theory) Dr. Kurula actively supervises graduate students, offering master's thesis projects in applied mathematics, including topics such as "Self-learning automatic control" and "Data-driven explicit MPC." He has supervised at least one master's thesis, that of Tuomas Virtanen. Outside of his academic work, Dr. Kurula enjoys karate and open source software.
Paul Eilers is a researcher in the Epidemiology department at Erasmus MC , with extensive contributions to statistical methodology and biomedical applications. His work spans survival analysis, computational statistics, and signal processing. Specializes in advanced statistical modeling with splines Active in medical informatics and epidemiological research Collaborates internationally on multidisciplinary projects Research Interests : Develops innovative statistical techniques for complex biomedical data, focusing on: Spline-based smoothing algorithms Survival analysis with multiple time scales Multidimensional P-splines for neuroscience Deconvolution methods in NMR spectroscopy Computational efficiency in determinant derivatives Application of statistics to clinical research Scientific Output : Demonstrates expertise in statistical modeling through 115 research outputs, including recent work on: Quantile regression techniques Semiparametric proportional hazards models Adaptive smoothing for neuronal activity analysis Modern approaches to statistical computing Collaboration Network : Maintains active collaborations across disciplines, particularly in: Medical statistics applications Computational method development Chemometrics and bioinformatics Cross-institutional research projects
Torben Iversen is the Harold Hitchings Burbank Professor of Political Economy in the Department of Government at Harvard University. He is also a Faculty Associate at the Institute for Quantitative Social Science, the Center for European Studies, and the Weatherhead Center for International Affairs. His extensive academic career at Harvard spans from Assistant Professor (1994-1999) to his current named professorship (2005-present). Iversen's research focuses on comparative political economy, electoral politics, and applied formal theory. His work examines the intersection of democracy, capitalism, and welfare state development, with particular attention to gender politics, inequality, and institutional evolution. He has made significant contributions to understanding how political institutions shape economic outcomes and how economic changes transform political representation. His recent publications reveal a sustained interest in how technological and economic transformations (particularly the information revolution and knowledge economy) affect welfare state politics and democratic representation. His work consistently combines theoretical innovation with empirical rigor, often collaborating with leading scholars in the field. Member, American Academy of Arts and Sciences (2017-) Catherine A. and Mary C. Gellert Radcliffe Fellow (2020-21) Guggenheim Fellow (2008-09) BP Centennial Professor at LSE (2016-17) Rigmor and Carl Holst-Knudsens Science Prize (2016) Victoria Schuck Award for best book on women and politics (2010) Iversen has served on numerous dissertation committees (currently 11) and has held leadership positions including Chair of the Political Economy and Government Program at Harvard (2005-2022) and Chair of the Department's Curriculum Committee (2019-2020). His professional service extends to editorial boards of leading journals and membership on prestigious committees including the Membership Selection Committee for the American Academy of Arts and Sciences (2017-2020). He has directed numerous research initiatives including workshops in comparative political economy at multiple institutions and has been a co-organizer of the Workshop in Comparative Political Economy since 1999. His work has been supported by major grants from the National Science Foundation and other prestigious funding bodies.
Kazimierz Choroś is a Professor at the Department of Applied Informatics , Faculty of Information and Communication Technology , Wrocław University of Science and Technology. He held leadership roles as Deputy Director of the Institute of Informatics (2008-2014) and Deputy Dean of the Faculty of Computer Science and Management (2016-2020). Research interests: digital image/video processing, content-based video indexing, computer animations, multimedia systems, web systems analysis, and information systems design. Organizer and Chair of the International Conference on Multimedia & Network Information Systems (MISSI 2022) Chair of Special Session WebSys 2020 at ICCCI 2020 Other activities: Since 1993, member and former President (1993-2002) of the SAGE Association (Polish Graduates of French Grandes Ecoles). Since 1982, member of the Polish Numismatic Society, author of dozens of numismatic publications, and Editor-in-Chief of Wrocławskie Zapiski Numizmatyczne (2003-present). Contact: Email: kazimierz.choros@pwr.edu.pl Phone: +48-71.320.3799 Office: Building D2, Room 201/1 Address: Wrocław University of Science and Technology, Wyb. Wyspiańskiego 27, 50-370 Wrocław, Poland
Spyros Sioutas is a Professor at the University of Patras, Division of Computer Software, Department of Computer Engineering and Informatics. His research focuses on multidimensional data structures, decentralized big data management, spatio-temporal databases, distributed systems for cloud computing, and machine learning. His recent publications highlight trends in IoT systems, federated learning, TinyML, and NoSQL database optimization. Key areas include LoRa-based data transmission, graph embeddings for fraud detection, and energy-efficient distributed algorithms. He contributes to the academic community through leadership in the Division of Computer Software and collaboration with research labs such as the Database Laboratory and High-Performance Information Systems Laboratory at the University of Patras.
Dr. Chuanbin Zhu is an Assistant Professor in Geotechnical Engineering at Northumbria University 's Faculty of Engineering and Environment. He holds a PhD in Civil Engineering from Queensland University of Technology (2018) and has worked at prestigious institutions including GFZ German Research Centre for Geosciences (2018-2022) and University of Canterbury (2022-2024). Research Focus: Earthquake hazard assessment through site effects characterization, physics-based simulations, and machine learning Key Contributions: Horizon 2020 SERA project (European seismic hazard model), New Zealand NSHM project Academic Service: Journal reviewer, Guest Editor for SCI journals, and session organizer at major seismology conferences Research Interests Dr. Zhu specializes in earthquake site effects , focusing on: Site-effects characterization using observational data and simulations Subsurface property inversion with microtremor data Uncertainty quantification in seismic modeling Deep learning applications in engineering seismology Signal processing for seismic wave analysis Scientific Recognition Outstanding PhD Thesis Award (top 5%) from QUT Associate Fellow of the Higher Education Academy Publications Trends His recent work emphasizes machine learning integration with traditional seismology, focusing on site classification via neural networks, high-resolution site mapping , and hybrid simulation methods that combine physics and data-driven approaches. Geographic focus includes China, New Zealand, and Japan.
