Morgane Tidière is a researcher affiliated with the Interdisciplinary Centre on Population Dynamics (CPop) at the University of Southern Denmark. Her work focuses on biodemography, conservation biology, and evolutionary demography, particularly examining aging patterns in zoo-housed and wild mammals. She has contributed to studies on reproductive senescence, species delineation, and the impact of sub-species variation on conservation strategies. Her research frequently integrates demographic data from captive populations to inform wildlife management and longevity mechanisms. Key research areas include comparative analyses of lifespan and aging rates across species, with a focus on mammals such as tigers, lemurs, and marine mammals. Her recent work highlights advancements in animal welfare practices in zoological institutions and their parallels with human longevity trends. Tidière is also involved in projects addressing genetic structure of endangered species like Chaerephon bats on Madagascar and the Comoro Islands.
Mikkel Thorup is a Professor at the Department of Computer Science, University of Copenhagen, and a VILLUM Investigator heading the Basic Algorithms Research Copenhagen (BARC) Center supported by a €5.3 million grant from the VILLUM Foundation. Born in 1965, he holds a D.Phil. from Oxford University (1993). Prior roles include positions at the University of Copenhagen (1993–1998) and AT&T Labs-Research (1998–2013). His research focuses on algorithms, data structures, and hashing, with a particular emphasis on unifying theoretical and practical aspects. Awards include the ACM Fellowship, Villum Kann Rasmussen Award, and Fulkerson Prize. Education: D.Phil. in Computer Science, Oxford University (1993). Earlier positions: University of Copenhagen (1993–1998), AT&T Labs-Research (1998–2013). Research interests encompass algorithm design, data structure optimization, and hashing techniques. His work bridges theory and practice, addressing problems like graph clustering, optimization, and efficient sampling. He is known for contributions to correlation clustering, hash function analysis, and dynamic graph algorithms. Awards include the 2011 MAA Robbins Award, 2015 Villum Kann Rasmussen Award (Denmark’s top research prize), and 2021 AMS-MOS Fulkerson Prize. His Erdős number is 2, and he boasts an H-index above 60 with over 200 publications in top venues like STOC, FOCS, and SODA. Advising and grants: Leads BARC since 2017, funded by VILLUM Foundation. His research has influenced both academia and industry, particularly in telecommunications and algorithmic efficiency. Collaborates internationally, with a focus on foundational algorithmic challenges. Labs/Teams: Founder and head of BARC, fostering research in algorithms and their applications. Engages in interdisciplinary work combining theory with practical implementations.
Associate Professor Dario Pacino is affiliated with the Technical University of Denmark (DTU), specifically within the Department of Technology, Management and Economics under the Operations Research Section. His research focuses on optimization challenges in logistics and transportation systems, including container stowage planning, berth allocation, and the application of AI techniques like reinforcement learning. He holds a position at DTU's Management Science Division and is based in Lyngby, Denmark. His work emphasizes heuristic and metaheuristic algorithms for solving complex logistics problems. Notable areas include Roll-on/Roll-off (RoRo) ship stowage planning, dynamic berth allocation, and discrete event simulation for healthcare logistics. He has contributed to mathematical models addressing draft limits in shipping and stochastic fleet optimization for urban mobility. Publications from 2022 onward highlight advancements in reinforcement learning integration with traditional operations research methods, demonstrating a trend toward AI-driven logistics solutions. His work bridges theoretical optimization with practical applications in maritime and healthcare sectors. No scientific awards are explicitly listed in the provided text. His advising and grants sections remain unspecified, though his research collaborations are evident through multi-institutional projects. He is part of the Operations Research Section's research team, focusing on decision support systems and optimization under uncertainty.
Magnus Bender is an Assistant Professor at the Department of Programming, Logic and Intelligent Systems , part of the Department of People and Technology at Roskilde University (DK-4000 Roskilde, Denmark). He holds a Dr. rer. nat. (2024), M.Sc. (2021), and B.Sc. (2019) in Computer Science from Universität zu Lübeck. His research focuses on Artificial Intelligence in the Humanities and Law , including transformer models (BERT/GPT), text mining, legal text analysis, and ethics in AI. Recent work includes projects like DiRec: Safeguarding Diversity in News Recommendation (2022–2027) and organizing workshops such as Workshop on Humanities-Centred Artificial Intelligence (2025). He received the Best Paper Award (IEEE ICSC 2024) for work on human feedback in AI systems. Education: Dr. rer. nat. in Computer Science, Universität zu Lübeck (2024) M.Sc. in Computer Science, Universität zu Lübeck (2021) B.Sc. in Computer Science, Universität zu Lübeck (2019) External Positions: Research Associate (Postdoc) at University of Hamburg (2024–2025) Research Assistant at Universität zu Lübeck (2021–2024) His research integrates technical AI advancements with societal applications, emphasizing ethics and human-centered approaches. He actively contributes to interdisciplinary projects bridging computer science, law, and humanities.
Rune Møller Jensen is an Associate Professor in Data Science and Head of The Maritime Hub at the IT University of Copenhagen. He specializes in container vessel stowage planning optimization, with expertise in metaheuristics, constraint programming, and mathematical programming. His work bridges academia and industry through projects like churn prediction and AIS-based ETA forecasting. He co-founded Sealytix, a leading stowage analytics firm, and previously led Optivation until 2022. Jensen holds awards including the Hede Nielsen Prize (2005) and The McKinsey Award (1998). Education: Studied Symbolic AI at Carnegie Mellon University (CMU). Research focuses on optimizing maritime logistics, energy-efficient transportation, and decision support systems for liner shipping. Key projects include Greenship (2014-2016), REALCAP (2016-2018), and BAYSTOW (2008-2012). Media engagements include discussions on AI ethics and industry collaboration. His research portfolio spans 86 publications and 10+ projects, emphasizing optimization algorithms and real-world maritime applications. As head of The Maritime Hub, he supports emerging researchers through interdisciplinary initiatives.
Marco Chiarandini is an Associate Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), with a secondary affiliation to the SDU Climate Cluster. His research focuses on Operations Research, Optimization Algorithms, and their applications in domains such as transportation, healthcare, and education. He has led or contributed to projects addressing dynamic traffic estimation, dementia care app design, and sustainable software development. Chiarandini has supervised students including P. Tampakis and C. McCarthy, and his work has been featured in interdisciplinary collaborations with institutions globally. His recent articles explore topics like goal-scoring prediction in football and urban traffic modeling, reflecting his expertise in data science and algorithmic design. His academic contributions span over 50 publications, emphasizing methodological advancements in optimization and heuristic algorithms. He actively participates in conferences and peer review, and has coordinated EU-funded projects like Data Science for University Management (2019–2023). Chiarandini’s teaching includes courses on linear programming and metaheuristics, integrating practical applications with theoretical foundations.
Juan Carlos Parra-Alvarez is an Associate Professor at Aarhus University's Department of Economics and Business Economics, with adjunct roles at Aalborg University and research fellowships at CREATES and the Danish Finance Institute. He holds a PhD in Economics and Business from Aarhus University. His research focuses on quantitative methods for macroeconomic and financial analysis, including dynamic equilibrium economies, asset pricing, and disaster risk modeling. Key interests span continuous-time econometrics, heterogeneous agent modeling, and consumption-based capital asset pricing. Recent publications demonstrate concentrated work on refining estimation techniques for DSGE models, solving peso problems in asset pricing, and developing risk-sensitive approximation methods. Awards include the William E. Brigman Award for outstanding graduate research.
Stephanie Forrest is a Professor in the School of Computing and Augmented Intelligence (SCAI) at Arizona State University (ASU), where she also serves as Director of the Biodesign Center for Biocomputation, Security and Society. She is an External Faculty member of the Santa Fe Institute (SFI), where she previously held leadership roles including Co-Chair of the Science Board (2010–2013) and Interim Vice President for Academic Affairs (1999–2000). Prior to joining ASU, she was a Regents Distinguished Professor and Department Chair of Computer Science at the University of New Mexico (2006–2011). B.A., St. John's College M.S., Ph.D., University of Michigan, Computer Science Her research lies at the intersection of biology and computation, focusing on computational immunology, automated software repair, evolutionary computation, and modeling complex systems such as cancer and immune responses. She pioneers bio-inspired algorithms for cybersecurity and develops evolutionary techniques for software optimization and repair. Her work integrates principles from immunology, genetics, and complex adaptive systems to solve problems in computer science. The trends in her recent publications reveal a sustained focus on automated program repair using evolutionary computation, GPU code optimization, and modeling biological systems. Her work increasingly combines machine learning with mutation-based search, explores semantic representations in code repair, and applies bio-inspired models to real-world software and security challenges. ACM/AAAI Allen Newell Award (2011) Presidential Young Investigator Award (1991) Stanislaw Ulam Memorial Lectures, SFI (2013) IEEE Fellow UNM Annual Research Lecture (2012) IEEE S&P Test of Time Award (2020) ICSE Most Influential Paper Award (2019) ACM/SIGEVO Impact Award (2019) SEAMS Best Paper Award (2019) WEIS Best Paper Award (2015) Stephanie Forrest has advised numerous students and researchers, often in collaboration with W. Weimer, C. Le Goues, and M. Moses. Her research is supported by major funding agencies including the National Science Foundation (NSF), Defense Advanced Research Projects Agency (DARPA), Air Force Research Laboratory (AFRL), and the Santa Fe Institute. She has also contributed to public policy as a Jefferson Science Fellow at the U.S. Department of State (2013–2014), advising on cyber-policy. She currently chairs the Government Affairs Committee of the Computing Research Association (CRA). She leads the Biodesign Center for Biocomputation, Security and Society, which brings together interdisciplinary teams to study the co-evolution of technology and society. Her research group has developed tools for intrusion detection (e.g., STIDE, pH, RISE), automated software repair (e.g., GenProg), and biological modeling (e.g., CancerSim). Current projects include engineering diversity for enhanced cybersecurity, measuring internet censorship, and modeling immune and cancer systems.
Simon Levin is the James S. McDonnell Distinguished University Professor in the Department of Ecology and Evolutionary Biology at Princeton University. He is also the Director of the Center for BioComplexity. His work bridges theoretical ecology, biodiversity science, and socioeconomic systems, with a strong emphasis on scaling principles and sustainability. Levin's research focuses on the dynamics of biological diversity across scales, from molecular to global systems. He investigates how ecological and evolutionary theory can inform sustainable management of natural resources, especially in the context of public goods and common-pool resources. His lab employs mathematical models and empirical data to explore collective behavior, ecosystem resilience, and biocomplexity. His recent publications reveal a strong trend toward integrating human behavior into ecological and epidemiological models, exploring prosocial behavior, risk compensation, and invasion dynamics. This reflects a growing emphasis on social-ecological systems and the role of human agency in environmental outcomes. Levin has advised several students and postdoctoral researchers, including Xander Huggins and Ryan Chisholm, both of whom have received notable recognition in ecology. His lab continues to publish in high-impact journals such as PNAS , Current Biology , and Journal of Theoretical Biology . He is actively engaged in research and shows no signs of retirement or former status, maintaining a current email and ongoing publication record.
Alessandro Pluchino is an Associate Professor of Theoretical Physics, Mathematical Methods and Models at the Department of Physics and Astronomy "E. Majorana", University of Catania. He holds the qualification of Full Professor in Theoretical Physics of Fundamental Interactions and serves as a research delegate at INFN, local coordinator of LINCOLN (Learning Complex Networks), and staff member of DYNSYSMATH. He is also a member of the Società Italiana di Fisica and the Complex Systems Society, and the University of Catania referent for the Piano Nazionale Lauree Scientifiche (PLS) in Physics. His research spans the modeling and simulation of complex systems using agent-based models and network analysis, with applications in biological, ecological, economic, and social systems. He also investigates fundamental physics, statistical mechanics, chaos theory, and complex networks. His work extends to optimization methods in smart cities, sustainability, energy, and transportation infrastructure. Pluchino has authored over 100 scientific publications and several books. His recent publications focus on career dynamics in sports and seismic vulnerability using machine learning, reflecting a strong interdisciplinary trend combining physics, data science, and societal applications. His scientific achievements have been recognized with two Ig-Nobel Prizes: in 2010 for Management, for demonstrating mathematically that random promotions improve organizational efficiency, and in 2022 for Economics, for studying the role of luck in success—both shared with Andrea Rapisarda and collaborators. He actively supervises numerous PhD and master’s students across physics, engineering, and interdisciplinary programs, and teaches courses such as Agent-Based Models, Dynamic Systems and Chaos, History of Physics and Epistemology, and General Physics. He is an editorial board member of PLOS ONE, Entropy, and Frontiers in Physics, underscoring his influence in the scientific community. Pluchino leads and participates in several research teams and networks, including LINCOLN and DYNSYSMATH, and is deeply engaged in scientific dissemination for non-specialist audiences.
Andrea Rapisarda is a Full Professor of Theoretical Physics at the University of Catania, Italy, affiliated with the Department of Physics and Astronomy "Ettore Majorana" and INFN Catania. He is the coordinator of the PhD program in Complex Systems for Physical, Socio-economic and Life Sciences and serves as co-director of the International School on Complexity at the Ettore Majorana Foundation in Erice. Additionally, he is an External Faculty member at the Complexity Science Hub Vienna, reflecting his international academic engagement. His research spans Complex Systems, Statistical Mechanics, Deterministic Chaos, Nonlinear Dynamics, Complex Networks, and Agent-Based Models , with a strong emphasis on applications to socio-economic systems. He investigates the role of randomness, luck, and inefficiencies in hierarchical organizations, drawing from interdisciplinary methods in physics and computational modeling. His work has demonstrated how random strategies can outperform merit-based ones in organizational efficiency and democratic design. The 15 most recent publications highlight a consistent focus on modeling randomness in success, inequality, and decision-making across domains such as sports, economics, politics, and public health. His work integrates agent-based simulations, network analysis, and statistical physics to understand complex phenomena, often with policy-relevant implications. Ig Nobel Prize for Management (2010) Ig Nobel Prize for Economics (2022) Rapisarda is an active advisor and researcher, though specific student names are not listed in the provided texts. He has contributed to numerous editorial boards, including Physica A, Entropy, Frontiers in Physics (Social Physics) , and Complexity . He has also been involved in public outreach, policy discussions on democratic reform via sortition, and science communication through media interviews and public lectures. He leads research projects on improving organizational and societal systems using insights from complexity science.
Dorte Kronborg is an Associate Professor at the Department of Finance and a member of the Center for Statistics at Copenhagen Business School (CBS). She serves as Academic Director for the BSc and MSc programs in Business Administration and Mathematical Business Economics (HA(mat.) and Cand.Merc.(mat.)). Her research focuses on applying mathematical statistical methods to business economics, with primary interests in event history analysis, categorical longitudinal data, and efficiency analysis in productivity assessment. Education and Academic Background: While specific academic degrees beyond her professional titles are not explicitly detailed, she holds a Cand.scient (Candidatus Scientiarum) degree and has been affiliated with CBS for decades. Her work integrates statistical methodologies with economic applications, emphasizing practical relevance in efficiency measurement and frontier analysis. Research Interests: Her research spans applied statistics, efficiency analysis, and benchmarking, with contributions to nonparametric modeling, production frontiers, and longitudinal data analysis. She has collaborated extensively on projects involving bank efficiency in Bangladesh, organic farming comparisons, and Islamic banking performance during crises. Grants and Advising: While specific grants are not listed, her extensive publication record indicates sustained research activity. She oversees academic programs at CBS, directly influencing curriculum development and student advising in mathematical business economics. Labs and Teams: She is part of the Center for Statistics and Department of Finance at CBS, collaborating with institutions like the Department of Food and Resource Economics (University of Copenhagen) on interdisciplinary projects.
Abhijit Mazumdar serves as a Research Fellow in the Department of Electronic Systems within Aalborg University's Faculty of IT and Design. He is actively affiliated with the Automation & Control Learning and Decisions Lab, focusing on theoretical and applied aspects of safety-critical decision systems. His research centers on Markov Decision Processes , safety verification , and reinforcement learning with critical applications in control systems. Key interests include stochastic safety analysis of hybrid systems, constrained optimization under uncertainty, and model-free safety verification techniques that prevent safety violations during learning. His work bridges theoretical computer science with practical engineering implementations in autonomous systems. Recent publications demonstrate a strong trend toward formal safety guarantees in learning-based control, with 75% of his 2023-2024 output addressing safety verification for Markovian systems. His fingerprint analysis shows dominant specialization in Computer Science (100%) and Engineering (100%) , particularly in safety-critical domains where theoretical rigor meets real-world implementation constraints. Dr. Mazumdar collaborates extensively within Aalborg University's technical ecosystem, particularly with researchers in control theory and formal methods. His laboratory work in the Automation & Control Learning and Decisions Lab focuses on developing mathematically rigorous frameworks for safe decision-making in uncertain environments.
Giorgio Bacci is an Associate Professor at the Department of Computer Science , Aalborg University , Denmark. He is a member of the Distributed, Embedded, and Intelligent Systems (DEIS) research group led by Prof. Kim G. Larsen. He earned his Ph.D. in Computer Science from the University of Udine (2013) under Prof. Marino Miculan, following M.Sc. and B.Sc. degrees in Computer Science from the same university (2008 and 2005, both 110/110 cum laude ). Research Interests include: Behavioural Metrics : Quantitative methods for system equivalence and approximation. Model Synthesis and Automata Learning : Automated construction of models for probabilistic/stochastic systems. Analysis of Cyber-Physical Systems : Formal verification techniques for real-time and hybrid systems. Process Algebras : Nondeterministic, probabilistic, and stochastic process calculi. Semantics of Programming Languages : Formal models for probabilistic and concurrent computation. Scientific Service includes roles as PC member for LICS 2025 , ICALP 2025 , and co-chair for EXPRESS/SOS 2025 and GandALF 2025 . He has contributed to 35 publications in areas like probabilistic automata , Markov processes , and bigraphical models , with a focus on computational complexity and behavioral distances . Awards include: Teacher of the Year 2022/2023 (Department of Computer Science, Aalborg University) Best Paper Award at CALCO 2021 .
Christoph Matheja is an Associate Professor at the Technical University of Denmark , affiliated with the Department of Applied Mathematics and Computer Science . His work focuses on formal verification, probabilistic programming, and software systems engineering. Research Highlights : Operational semantics for probabilistic programs, fixed-point characterizations of rewards in MDPs, and data-driven Petri net modeling for process mining. Publications span formal verification techniques, probabilistic programming paradigms, and tools for process mining, emphasizing interdisciplinary applications in computer science and software engineering. Scientific Awards : POPL 2021 Distinguished Paper Advising & Grants : Supervises PhD students in automated reasoning about randomized algorithms, with project funding active from 2023 to 2026. Professional Activities : Serves on committees for ACM SIGPLAN Symposium on Principles of Programming Languages (2022–present), International Conference on Computer Aided Verification (2023–present), and Formal Methods Symposium (2022–present). Organizer of the 2022 Workshop on Verification of Probabilistic Programs.
