Ozalp is Professor of Computer Science at the University of Bologna. He received a Ph.D. in 1981 from the University of California at Berkeley. Ozalp’s virtual memory extensions to AT&T Unix as a graduate student at UC Berkeley became the basis for a long line of “BSD Unix” distributions. He is the recipient of the 1982 Sakrison Memorial Award (together with Bill Joy), 1989 UNIX International Recognition Award and 1993 USENIX Association Lifetime Achievement Award for his contributions to the Unix system community and to Open Industry Standards. In 2002 Ozalp was made a Fellow of the ACM for his “contributions to fault-tolerant distributed computing, BSD Unix, and for leadership in the European distributed systems community”. In 2007, he co-founded the IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO) conference series and was a member of its Steering Committee from 2007 to 2019. He has served for two decades on the editorial boards of ACM Transactions on Computer Systems, ACM Transactions on Autonomous and Adaptive Systems and Springer Distributed Computing.

Gianfranco is Professor of Computer Engineering at the University of Padova, Italy (1990-) and an Academic Visitor at the IBM T.J.Watson Research Center. He was an Assistant Professor of Computer Science at Cornell University (1984-1991). He received an M.S. (1982) and a Ph.D. (1985) in Electrical Engineering from the University of Illinois Urbana-Champaign, after earning a Laurea cum Laude (1978, EE) from the University of Padova. In Padova, he has served as the Vice Rector for Computing (2012-15) and as a Member of the University Administrative Board (2016-2020). His research interests are in the areas of parallel algorithms and architectures, high performance computing, theory of computation, formal languages, VLSI, signal processing. He has co-founded and organized the yearly workshop ScalPerf: Scalable Approaches to High Performance and High Productivity Computing (2003-24). 

Paolo Boldi is Full Professor at the Università degli Studi di Milano since 2015, where he is currently the co-ordinator of the PhD Program in Computer Science and of the Computer Science Degree.

His main research topics are algorithms and data structures for big data, web crawling and indexing, graph compression, succinct and quasi-succinct data structures, distributed systems, anonymity and alternative models of computation. Recently, his works focused on problems related to complex networks (especially, the World-Wide Web, social networks and biological networks), a field where his research has also produced software tools used by many people working in the same area.

He chaired many important conferences in this sector (e.g., WSDM, WWW, ACM WebScience), and published over one hundred papers; he was also recipient of three Yahoo! Faculty Awards and co-recipient of a Google Focused Award, and member of many EU research projects. He was keynote speaker at many conferences such as ECIR, SPIRE, MFCS, IIR and invited scholar at the Institut des Hautes Études Scientifiques.

Valeria is Full Professor of Computer Engineering at the Tor Vergata University of Rome, Italy. Her research interests are in the field of distributed software systems, including Cloud and Edge systems and services, resource management and self-adaptation, quality assurance. She has co-authored over one hundred publications in international journals and conferences and serves on the editorial boards of IEEE Transactions on Parallel and Distributed Systems and Elsevier Journal of Parallel and Distributed Computing.

Nicolò Cesa-Bianchi is Professor of Computer Science at Università degli Studi di Milano and holds a joint appointment at Politecnico di Milano. His main research interests are the design and analysis of machine learning algorithms for online learning, sequential decision-making, and graph analytics. He is co-author of the monographs "Prediction, Learning, and Games" and "Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems". He served as President of the Association for Computational Learning and co-chaired the program committees of some of the most important machine learning conferences, including NeurIPS, COLT, and ALT. He is the recipient of a Google Research Award, a Xerox Foundation Award, a Criteo Faculty Award, a Google Focused Award, and an IBM Research Award. He is ELLIS fellow, member of the ELLIS board, and co-director of the ELLIS program on Interactive Learning and Interventional Representations. He is a corresponding member of the Italian Academy of Sciences.

Michele Colajanni is a Full Professor at the Department of Computer Science and Engineering of the University of Bologna. He is also affiliated with the Bologna Business School and the Johns Hopkins University, SAIS Europe. He graduated in Pisa, and he was with the University of Rome and the University of Modena. His research interests include cybersecurity, scalable architectures for big data management and AI analytics. He founded the Research Center on Security and Safety and the Cyber Academy for ethical hackers. He has directed courses and masters for universities, ministries, and companies. His scientific production includes more than 250 peer-reviewed articles, direction of national and international projects, and several presentations in workshops, conferences, and invited lectures.

Abe Davis is an Assistant Professor in the Computer Science Department at Cornell University, where his research group works at the intersections of computer graphics, vision, and human-computer interaction. Abe earned his Ph.D. in EECS from MIT CSAIL, and his thesis won the MIT Sprowls Award for Outstanding PhD Dissertation in Computer Science as well as honorable mention for the ACM SIGGRAPH Outstanding Doctoral Dissertation Award. Abe was also named one of Forbes Magazine's "30 under 30", Business Insider's "50 Scientists Who are Changing the World" and "8 Innovative Scientists in Tech and Engineering", he has won the "Most Practical SHM Solution for Civil Infrastructures" Award at IWSHM, and is a recipient of the NSF CAREER award in 2024.

Barbara Di Camillo is Full Professor in Computer Science with the Department of Information Engineering, University of Padova. Her research activity is centred on the development and application of advanced modelling, data mining, and machine learning methods for high-throughput biological data analysis in the field of Bioinformatics and Health Informatics. This includes model/methods development and application in the field of systems biology, reverse engineering, and predictive medicine. In particular, she has been working on omics data studying metagenomics and transcriptomics regulatory networks and cell-cell communication networks from scRNAseq data. She is working on the use of dynamic Bayesian networks to model disease dynamics and the effect of the interaction of different variables (societal, clinical, environmental, and genetic) and their effect on complex clinical phenotypes.

Matteo Frigo received his PhD from the Massachusetts Institute of Technology in 1999.  His research interests include the theory and practice of parallel algorithms, the Cilk multi-threaded runtime system, cache-oblivious algorithms, signal processing, and more recently, zero-knowledge proofs.  He spent more than a decade in the Cloud industry, and he is the architect of several storage and networking systems deployed in major cloud platforms.

He is the recepient of the 1999 Wilkinson Prize for Numerical Software, the 2008 and 2009 ACM Most Influential PLDI Paper Award, the 2009 SPAA Best Paper Award, and the 2019 IEEE FOCS Test of Time Award.

Vittorio Maniezzo is Full Professor of Computer Science at the Department of Computer Science and Engineering of the University of Bologna. He has been working on heuristic algorithms for combinatorial optimization since his Ph.D., first as one of the original designers of the Ant System algorithm - later evolved as Ant Colony Optimization (ACO) - and more recently as one of the promoters of the active community on matheuristics (2006 to present). Both contributions have led to a series of dedicated international workshops. He is currently interested in operational analytics, combining matheuristics with predictive modules.

Lorenzo Orecchia is an Assistant Professor in the Department of Computer Science at the University of Chicago. Lorenzo’s research focuses on the design of efficient algorithms for fundamental computational challenges in machine learning and combinatorial optimization. His approach is based on combining ideas from continuous and discrete optimization into a single framework for algorithm design. Lorenzo obtained his PhD in computer science at UC Berkeley in 2011, and was an applied mathematics instructor at MIT until 2015. He is a recipient of the 2014 SODA Best Paper award and of the NSF CAREER Award in 2020.

Alessandro Panconesi is a Full Professor of Computer Science at Sapienza University of Rome. He earned his Ph.D. in Computer Science from Cornell University. His research interests encompass all things algorithmic, with a special emphasis on randomised and distributed algorithms and, more recently, machine learning. He is President of BICI, the Bertinoro International Center for Informatics. He has received international recognition for his research, including the ACM Danny Lewin Best Student Paper Award and the Dijkstra Prize. Additionally, he has been awarded several faculty awards from IBM, Yahoo!, and Google, including receiving the Google Focused Award twice. He is a staunch supporter of AS Roma.

Keshav Pingali is the W.A."Tex" Moncrief Chair of Grid and Distributed Computing in the Department of Computer Science at the University of Texas at Austin, and a member of the Oden Institute for Computational Engineering and Sciences (ICES) at UT Austin. He has a PhD from MIT, and a B.Tech. from the Indian Institute of Technology, Kanpur, where he was awarded the President's Gold Medal and the Lalit Narain Das Memorial Gold Medal. Pingali has made deep and wide-ranging contributions to many areas of parallel computing including programming languages, compilers, and runtime systems for multicore, manycore and distributed computers. His current research is focused on programming models and tools for high-performance graph computing.

Pingali is a Fellow of the IEEE, ACM, and AAAS, and a foreign member of the Academia Europeana. He received the IIT Kanpur Distinguished Alumnus Award in 2013, the 2023 IEEE CS Charles Babbage Award, the 2023 ACM/IEEE CS Ken Kennedy Award, and the 2024 ACM SIGPLAN Programming Languages Achievement Award. Between 2008 and 2011, he was the co-Editor-in-chief of the ACM Transactions on Programming Languages and Systems. He has served on many international committees including the NSF CISE Advisory Committee (2009-2012) and the Board of Directors of CoLab, a joint research initiative between the government of Portugal and UT Austin (2007-2017).

Samantha Riesenfeld is Assistant Professor in the University of Chicago Pritzker School of Molecular Engineering, with additional affiliations in the Department of Medicine, the Institute for Biophysical Dynamics, the Data Science Institute, the Comprehensive Cancer Center, and the Committee on Immunology. She is also a Chan-Zuckerberg Biohub Investigator and a faculty member of the NSF-Simons National Institute for Theory and Mathematics in Biology. She leads a highly interdisciplinary research group that develops and applies machine learning methods to investigate complex biological systems using genomic, transcriptomic, and multimodal data. Areas of focus include inflammatory immune responses and solid tumor cancers. Dr. Riesenfeld has a BA in mathematics and computer science from Harvard University and a PhD in theoretical computer science from UC Berkeley. She did postdoctoral training at the interface of machine learning, systems biology, and immunology at the Broad Institute of MIT and Harvard, Brigham and Women’s Hospital, and the Gladstone Institutes at UCSF. Her honors include an NIH F32 NRSA postdoctoral fellowship, a BroadIgnite postdoctoral award, and a Cancer Research Foundation Young Investigator Award.