Bio: James Joshi is a Professor in the School of Computing and Information at the University of Pittsburgh. He received his Ph.D. from Purdue University. His research spans access control, distributed systems security and privacy, trust management, and security and privacy in AI/ML. He is the founding director of LERSAIS, an NCAE in Cybersecurity. Earlier, he served as a Program Director in the U.S. National Science Foundation's CISE and TIP directorates. He is also a Fellow of IEEE, AAAS, AIIA, and AAIA, and an ACM Distinguished Member.

Bio: Heiko Ludwig is a Principal Research Staff Member and Senior Manager with IBM’s Almaden Research Center in San Jose, CA. Leading the AI Foundations Engineering organization, Heiko is working on topics related to AI and distributed systems. His main focus areas are the AI tool chain, model efficiency and performance.

Throughout his career he was mostly dealing with topics around AI, distributed systems, and security and privacy. This stretches from early work on inductive reasoning, to middleware, performance management, and machine learning, in particular security and privacy, AI compliance, and federated learning.

Heiko is an ACM Distinguished Engineer and published more than 150 refereed papers cited more than 15000 times and holds more than 50 patents. He served as associated and editor-in-chief emeritus of multiple journals and served on numerous program committees of conferences and workshops in the field. He co-organized conferences and served as PC Co-Chair and General Co-Chair on a number of conferences. He serves regularly on PhD and Tenure Committees of leading universities and gives lectures in master and PhD classes on numerous occasions. He also gave a number of keynote speeches at conferences n the field. Heiko served as a project reviewer of EU and US research funding programs.

Prior to the Alamaden Research Center, Heiko held different positions at IBM in different countries. He holds a Master's (Diplom) degree and a PhD in information systems (Wirtschaftsinformatik) from Otto-Friedrich University Bamberg, Germany.

Bio: Dr. Daniela Oliveira is a cybersecurity researcher with over 15 years of experience spanning academia and the U.S. federal government. She holds a Ph.D. in Computer Science from the University of California, Davis, with a specialization in computer security.

At the National Science Foundation (NSF), she serves as the Acting Section Head for Cyber-Physical and Intelligent Systems (CPI) and as the Lead Program Director for the NSF's flagship cybersecurity program, Security, Privacy, and Trust in Cyberspace (SaTC). In these roles, she oversees a portfolio of more than 1,000 active research projects with a combined budget exceeding $60 million.

Prior to joining the NSF, Dr. Oliveira was a Professor of Cybersecurity at the University of Florida, where she secured over $10 million in funding for pioneering research in IoT device security, phishing resistance, and human-centered cybersecurity. Her work has been supported by the NSF, DARPA, NIH, MIT Lincoln Laboratory, and Google. She is a recipient of the Google Security and Privacy Research Award, the NSF CAREER award, and the U.S. Presidential Early Career Award for Scientists and Engineers (PECASE).

Bio: Dr. Indrajit Ray is Professor and Associate Chair in the Department of Computer Science at Colorado State University, Fort Collins, CO. His main research interests are in the areas of security risk modeling and evaluation, vulnerability management and mitigation, cyber-physical systems resiliency design and architecting, applied cryptography and protocols, trust models, and privacy. His research has been funded primarily by U.S. Federal Agencies: the National Science Foundation, the Office of Naval research, the Air Force Office of Scientific Research, the Air Force Research Laboratory, the National Institute of Health, the Department of Energy and the Federal Aviation Administration. His research has also been funded by the industry. He has published over 200 technical peer-reviewed articles in different journals and conferences, book chapters and edited volumes. He holds 4 US Patents. He had established the Cyber Security program at both the University of Michigan-Dearborn as well as at the Colorado State University. He has advised / co-advised 12 Ph.D. students and more than 25 M.S. students – including several women students and students from minority and under-represented groups – all of whom are well placed in academia and industry. Over the years, he has also mentored several undergraduate students as well K-12 students. He had helped to develop the cyber security curriculum at local high schools, been an advocate of K-12 student privacy with respect to use of technology in the Colorado school system and actively participated in cyber security training for senior citizens in the community. From March 2018 to June 2021, he served as a Program Director in the Secure and Trustworthy Cyberspace (SaTC) program at the U.S. National Science Foundation. He established the IFIP TC-11 Working Group 11.9 on Digital Forensics and served as its first Chair until 2008.

Bio: Jaideep Vaidya is a Distinguished Professor of Computer Information Systems and Vice Dean for Faculty Affairs and Research at Rutgers University, the Director of the Rutgers Institute for Data Science, Learning, and Applications. He received the B.E. degree in Computer Engineering from the University of Mumbai, the M.S. and Ph.D. degree in Computer Science from Purdue University. His general area of research is at the intersection of security, privacy, data mining, data management, and artificial intelligence. He has published over 200 technical papers in peer-reviewed journals and conference proceedings, and has received best paper awards from the premier conferences in data mining, databases, digital government, security, and informatics. He is a Fellow of the AAAS, ACMI, AIMBE, IAHSI, IEEE, and IFIP as well as an ACM Distinguished Scientist. He served as the Editor-in-Chief of the IEEE Transactions on Dependable and Secure Computing, proposed the IEEE Transactions on Privacy, and was the 2024 Vice President of Publication for IEEE Computer Society. Currently, he is the Editor-in-Chief of the ACM Transactions on Internet Technology. He has received several awards including the 2025 IFIP TC11 Kristian Beckman Award, the European Symposium on Research in Computer Security (ESORICS) Outstanding Research Award, and the IEEE Technical Community on Services Computing Research Innovation Award. Notably, the team he led won the first prize in the US-UK Privacy Enhancing Technologies Challenge in the Financial Crime Track in 2023.

Bio: Paolo Boldi is a Full Professor of Computer Science at the Università degli Studi di Milano, where he is a member of the Laboratory for Web Algorithmics. He received his Ph.D. in computer science from the University of Milano. His research focuses on algorithms and data structures for very large graphs and networks, graph compression, network centrality, web crawling and indexing, and the theory of graph fibrations and symmetries. He co-developed widely used tools such as WebGraph and HyperBall, and co-authored the "Four Degrees of Separation" study of the Facebook graph. He has received three Yahoo! Faculty Awards and a Google Focused Research Award, and has chaired conferences including WWW, WSDM, and ACM Web Science.

Bio: Elisa Bertino is a Samuel Conte Distinguished Professor of Computer Science at Purdue University. She is current President of the Association for Computing Machinery (ACM). She has made pioneering contributions over 40 years to information and systems security and privacy, along with contributions to broadening participation in computing via professional leadership and mentoring. Her contributions to data security and privacy include context-based access control, data integrity, privacy-preserving analytics, and data protection from insider threats. Her recent work focuses on security of cellular networks and IoT systems. Prior to joining Purdue, she was a professor and department head at the Department of Computer Science of the University of Milan (Italy). She has been a postdoc at the IBM Research Laboratory (now Almaden) in San Jose, and a Visiting Professor at the Singapore Management University, the Singapore National University, and Linköping University.

She has served as Editor-in-Chief of the IEEE Transactions on Dependable and Secure Computing, and as coordinating Co-Editor-in-Chief of the Very Large Database Systems Journal (VLDB). She served as Chair of the ACM Special Interest Group on Security, Audit and Control (SIGSAC) for the period 2009-2013. She is a co-founder of the ACM Conference on Data and Application Security and Privacy (ACM CODASPY). The conference started in 2011 and is the main forum for high-quality research on data privacy and security.

Elisa Bertino is a Fellow member of ACM, IEEE, and AAAS. She received the 2019-2020 ACM Athena Lecturer Award and has been named to GSMA’s Mobile Security Research Hall of Fame for her work on 4G and 5G cellular network security. She received the 2014 ACM SIGSAC Outstanding Contribution Award “For her seminal research contributions and outstanding leadership to Data Security and Privacy for the past 25 years,” the 2021 IEEE Innovation in Societal Infrastructure Award “For advancing the security and privacy of new-generation cellular networks,” and the 2005 IEEE Computer Society Tsutomu Kanai Award for “pioneering and innovative research contributions to secure distributed systems.”

Bio: Padmanabhan (Babu) Pillai is an Associate Teaching Professor in the Computer Science Department at Carnegie Mellon University. Before joining the CMU faculty, he spent more than twenty years as a research scientist at Intel Labs, where he was part of the Intel Science and Technology Center on Visual Cloud Systems at CMU. He received his Ph.D. in computer science and engineering from the University of Michigan and his B.S. in electrical and computer engineering from Carnegie Mellon. His research focuses on distributed and interactive systems, in particular edge computing (cloudlets) for real-time perception and mobile applications, low-power and real-time embedded systems, and parallel array frameworks for Python.

Bio: Calton Pu is a Professor and holds the John P. Imlay, Jr. Chair in Software in the College of Computing at the Georgia Institute of Technology, where he also directs the Center for Experimental Research in Computer Systems (CERCS). He received his Ph.D. in computer science and engineering from the University of Washington. His research spans service computing, distributed and cloud computing, systems performance, information security, and dynamic analytics on changing big data. He is a Fellow of IEEE and AAAS, has served as general or program chair of numerous conferences, including ICDE and CIKM, and has served on more than 120 program committees.

Bio: KC (Casey) Santosh is a Professor in the new B.S. in Artificial Intelligence program at the Oregon Institute of Technology, where he chairs the Computer Systems Engineering Technology and Applied Computing departments and directs the Center of Excellence in Applied Computing. He previously chaired the Department of Computer Science at the University of South Dakota (2020–2026) and founded its AI Research Lab. He received his Ph.D. in computer science (AI) from INRIA Nancy, France, and was a research fellow at the U.S. National Institutes of Health. His research spans AI for healthcare, medical imaging, explainable AI, and sustainable computing. He has authored 13 books and more than 280 peer-reviewed papers, and is an IEEE Distinguished Lecturer, ACM Distinguished Speaker, and U.S. Department of State speaker on AI.