Bio: James Joshi is a professor of School of Computing and Information at the University of Pittsburgh, and the director/founder of the Laboratory of Education and Research on Security Assured Information Systems (LERSAIS). From 2019 – Feb, 2023, he served as a Program Director in the Computer and Network System (CNS) division and its Secure and Trustworthy Cyberspace (SaTC) program, and as an Expert in the Directorate of Technology, Innovation and Partnerships (TIP) at the U.S. National Science Foundation. He also served as the Co-Chair of the Privacy Interagency Working Group of the Networking and Information Technology R&D (NITRD). He is a Fellow of IEEE, AAAS, AAIA Fand AIIA, an ACM Distinguished Member, and an IEEE CS Golden Core member. His research is focused broadly on cybersecurity and privacy areas including advanced access control models, security and privacy of distributed systems and AI/ML, and trust management. He had served as the Editor-In-Chief of IEEE Transactions on Services Computing. He currently serves on the Council Executive Committee of AAAS. He is the Founding Steering Committee chair of IEEE CIC/CogMI/TPS.

Bio: Professor Elisa Bertino joined Purdue in January 2004 as professor in Computer Science and research director at CERIAS. Her research interests cover many areas in the fields of information security and database systems. Her research combines both theoretical and practical aspects, addressing applications on a number of domains, such as medicine and humanities. Current research includes: access control systems, secure publishing techniques and secure broadcast for XML data; advanced RBAC models and foundations of access control models; trust negotiation languages and privacy; data mining and security; multi-strategy filtering systems for Web pages and sites; security for grid computing systems; integration of virtual reality techniques and databases; and geographical information systems and spatial databases.

Bio: Dr. Matt Gaston is the director of the AI Division at the Carnegie Mellon University Software Engineering Institute and the founding director of the SEI’s Emerging Technology Center. He also holds an appointment as an adjunct associate professor at the Carnegie Mellon University Institute for Software Research.
As the director of the AI Division, Dr. Gaston leads a diverse team of researchers, engineers, and innovators who assist the US Department of Defense in developing and using leap-ahead AI capabilities that are reliable, responsible, safe, fair, and transparent. He is a leader of the community-wide National AI Engineering Initiative focused on establishing and growing the discipline of AI engineering. Since 2011, Dr. Gaston has led the establishment and growth of the SEI Emerging Technology Center (ETC). With his leadership, the ETC research portfolio has grown to include work in the fields of autonomy, analytics, visualization, and quantum computing.

Bio: Ling Liu is a Professor in the School of Computer Science at Georgia Institute of Technology. She directs the research programs in Distributed Data Intensive Systems Lab (DiSL), examining various aspects of large scale big data systems and analytics, including performance, availability, security, privacy and trust. Prof. Liu is an elected IEEE Fellow and a recipient of IEEE Computer Society Technical Achievement Award (2012). She has published over 300 international journal and conference articles and is a recipient of the best paper award from numerous top venues, including ICDCS, WWW, IEEE Cloud, IEEE ICWS, ACM/IEEE CCGrid. In addition to serve as general chair and PC chairs of numerous IEEE and ACM conferences in big data, distributed computing, cloud computing, data engineering, very large databases fields, Prof. Liu served as the editor in chief of IEEE Transactions on Service Computing (2013-2016), on editorial board of over a dozen international journals. Ling’s current research is sponsored primarily by NSF and IBM.

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 Platforms research group, Heiko is currently working on topics related to distributed systems and AI. This includes federated machine learning and inference along, privacy and security, data acquisition and the relationship between data and model performance. The results of this work contribute to various IBM lines of business.

Bio: 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.

Bio: Vincent Conitzer is Professor of Computer Science (with affiliate/courtesy appointments in Machine Learning, Philosophy, and the Tepper School of Business) at Carnegie Mellon University, where he directs the Foundations of Cooperative AI Lab (FOCAL). He is also Head of Technical AI Engagement at the Institute for Ethics in AI, and Professor of Computer Science and Philosophy, at the University of Oxford.
Previous to joining CMU, Conitzer was the Kimberly J. Jenkins Distinguished University Professor of New Technologies and Professor of Computer Science, Professor of Economics, and Professor of Philosophy at Duke University. He received Ph.D. (2006) and M.S. (2003) degrees in Computer Science from Carnegie Mellon University, and an A.B. (2001) degree in Applied Mathematics from Harvard University.
Conitzer has received the ACM/SIGAI Autonomous Agents Research Award, the Social Choice and Welfare Prize, a Presidential Early Career Award for Scientists and Engineers (PECASE), the IJCAI Computers and Thought Award, an NSF CAREER award, the inaugural Victor Lesser dissertation award, an honorable mention for the ACM dissertation award, and several awards for papers and service at the AAAI and AAMAS conferences. He has also been named a Guggenheim Fellow, a Sloan Fellow, a Kavli Fellow, a Bass Fellow, an ACM Fellow, a AAAI Fellow, and one of AI's Ten to Watch. He has served as program and/or general chair of the AAAI, AAMAS, AIES, COMSOC, and EC conferences. Conitzer and Preston McAfee were the founding Editors-in-Chief of the ACM Transactions on Economics and Computation (TEAC). With Jana Schaich Borg and Walter Sinnott-Armstrong, he authored "Moral AI: And How We Get There" (2024).

Bio: Dr. Huan Liu is a Regents Professor and Ira A. Fulton Professor of Computer Science and Engineering at Arizona State University. He obtained his Ph.D. in Computer Science at University of Southern California and B.Eng. in Computer Science and Electrical Engineering at Shanghai JiaoTong University. Before he joined ASU, he worked at Telecom Australia Research Labs and was on the faculty at National University of Singapore. At Arizona State University, he was recognized for excellence in teaching and research in Computer Science and Engineering and received the 2014 President’s Award for Innovation. He is the recipient of the ACM SIGKDD 2022 Innovation Award. His research interests are in data mining, machine learning, feature selection, social computing, social media mining, and artificial intelligence, investigating interdisciplinary problems that arise in many real-world, data-intensive applications with high-dimensional data of disparate forms such as social media. His well-cited publications include books, book chapters, encyclopedia entries as well as conference and journal papers. He is a co-author of a text, Social Media Mining: An Introduction, Cambridge University Press. He is a founding organizer of the International Conference Series on Social Computing, Behavioral-Cultural Modeling, and Prediction, Editor in Chief of ACM TIST, and Field Chief Editor of Frontiers in Big Data and its Specialty Chief Editor of Data Mining and Management. He is a Fellow of ACM, AAAI, AAAS, and IEEE.

Bio: Dr. Amarda Shehu is Professor of Computer Science, Associate Dean for Research, and the Vice President and Chief AI Officer at George Mason University. She leads the university’s AI strategy across research, education, workforce development, and public engagement. She has led the Institute for Digital Innovation and has launched multiple transdisciplinary centers. She is also the architect of Mason’s new M.S. in Artificial Intelligence degree program and chairs the university’s AI-in-Government Council, advancing AI collaboration across academia, industry, and public agencies. An active AI researcher, Dr. Shehu has published over 200 papers with students and collaborators. She is a fellow of several societies and has received recognitions and awards for her research, education, mentorship, and service. Her research lab has sustained a long thread of inquiry at the intersection of AI and molecular biology, pioneering probabilistic, machine learning, and generative methods to advance understanding and discovery in protein science, genomics, and molecular design.

Bio: Professor Shen is currently a Professor in computer vision and machine learning with the Department of Computer Science, City St George's, University of London. His research interests spread across subareas in artificial intelligence (AI), including computer vision, deep learning, data science and machine learning. His research results have expounded in more than 100 publications at prestigious journals and conferences, with several awards: the Lee Foundation Fellowship for Research Excellence Singapore, the Microsoft Mobile Plus Cloud Computing Theme Research Program Award, the Best Reviewer Award for Information Processing and Management (IP&M) 2019 and ACM Multimedia 2020, the Test of Time Reviewer Award for Information Processing and Management (IP&M) 2022, and Associate Editor with Honourable Mention for Pattern Recognition (PR) 2023/24. He also serves as an Associate Editor and (or) a member for the Editorial Board of leading journals: IP&M, Pattern Recognition (PR), IEEE Transactions on Big Data, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia, and ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMM). He is Fellow of RSA and senior member of IEEE.

Bio: Calton Pu was born in Taiwan and grew up in Brazil. He received his PhD from University of Washington in 1986 and served on the faculty of Columbia University and Oregon Graduate Institute. Currently, he is holding the position of Professor and John P. Imlay, Jr. Chair in Software in the College of Computing, Georgia Institute of Technology. He has worked on several projects in systems and database research. His contributions to systems research include program specialization and software feedback. His contributions to database research include extended transaction models and their implementation. His recent research has focused on automated system management in clouds (Elba project), information quality (e.g., spam processing), and big data in Internet of Things. He has collaborated extensively with scientists and industry researchers. He has published more than 70 journal papers and book chapters, 280 conference and refereed workshop papers. He served on more than 120 program committees, including the co-PC chairs of SRDS'95, ICDE’99, COOPIS’02, SRDS’03, DOA’07, DEBS’09, ICWS’10, CollaborateCom'11, ICAC’13, CLOUD’15, and Big Data Congress’16. He also served as co-general chair of ICDE'97, CIKM'01, ICDE’06, DEPSA’07, CEAS’07, SCC’08, CollaborateCom’08, World Service Congress’11, CollaborateCom’12, and IEEE CIC’15.

Bio: As Vice Chancellor for Research Infrastructure at the University of Pittsburgh, Dr. Robert Cunningham is responsible for the strategic leadership of the University's research infrastructure and serves as the deputy director of special initiatives. He focuses on the effective operation, financial stability and future growth opportunities across the full spectrum of Pitt research platforms, including physical and virtual laboratories, institution-scale equipment and facilities, and a renewed focus on all our centers and institutes. Rob serves in multiple leadership roles, including Executive Director of the Pittsburgh Quantum Institute and the Center for the Neural Basis of Cognition, and the Chair of the Center for Research Computing Advisory Committee.
Dr. Cunningham holds a PhD in cognitive and neural systems. Prior to joining Pitt, he served as Carnegie Mellon University’s associate director of cyber assurance in the CERT Division at the Software Engineering Institute, as well as an adjunct professor of cybersecurity at the Institute for Software Research in the School of Computer Science, and an adjunct professor in the Department of Electrical and Computer Engineering in the College of Engineering. He has broad training and experience across STEM, cyber science, physical science and neuroscience, as well as leading enterprise-scale teams of faculty and staff. He has served as the director of the Laboratory of Physical Sciences at the University of Maryland (UMD), and as the leader of multiple research groups at MIT Lincoln Laboratory.
His research has explored machine learning, digital image processing, and image and video understanding, as well as computer intrusion detection, systems security and privacy, and software engineering. He has patented security-related technology, presented and published widely, chaired the IEEE Cybersecurity Initiative, and served as founder and general chair for the IEEE Cybersecurity Development Conference.

Bio: Indrakshi Ray is a Professor in the Computer Science Department at Colorado State University. She has also been a visiting faculty at Air Force Research Laboratory, Naval Research Laboratory, and at INRIA, Rocquencourt, France. Prior to joining Colorado State, she was a faculty at the University of Michigan-Dearborn. She obtained her Ph.D. from George Mason University under the joint supervision of Professor Sushil Jajodia and Professor Paul Ammann. Her Master's degree in Computer Science and Engineering is from Jadavpur University, Kolkata, India. Her Bachelor of Engineering degree in Computer Science and Technology is from B.E.College, Kolkata, India.
Dr. Ray's research interests include security and privacy, database systems, e-commerce and formal methods in software engineering. She has published over a hundred technical papers in refereed journals and conference proceedings. She is on the editorial board of Computer Standards and Interfaces. She has been a guest editor of ACM Transactions of Information Systems Security and Journal of Digital Library. She has served in various capacities for journals and conferences. She was the Program Chair of ACM SACMAT 2006, Program Co-Chair for CSS 2013, ICISS 2013, IFIP DBSec 2003, and General Chair of SACMAT 2008. She has served on the program committees of various conferences including ACM SACMAT, DBSec, EDBT, ESORICS, and ICDE. She is a senior member of the IEEE and a senior member of ACM.

Bio: Satya's multi-decade research career has focused on the challenges of performance, scalability, availability and trust in information systems that reach from the cloud to the mobile edge of the Internet. In the course of this work, he has pioneered many advances in distributed systems, mobile computing, pervasive computing, and the Internet of Things (IoT). Most recently, he has been viewed as “The Father of Edge Computing” for his seminal 2009 paper, and his pioneering contributions to the foundations of edge computing. Satya is the Jaime Carbonell University Professor of Computer Science at Carnegie Mellon University. He received the PhD in Computer Science from Carnegie Mellon, after Bachelor's and Master's degrees from the Indian Institute of Technology, Madras. He is a Fellow of the ACM and the IEEE, and a member of the National Academy of Engineering.

Bio: Dr. Bhavani Thuraisingham is the Founders Chair Professor of Computer Science and the Founding Executive Director of the Cyber Security Research and Education Institute at the University of Texas at Dallas (UTD). She is an elected Fellow of the ACM, IEEE, the AAAS, and the NAI. Her research interests are integrating cyber security and artificial intelligence/data science including as they relate to the cloud, social media, and Transportation Systems. She has received several technical, education and leadership awards including the IEEE CS 1997 Edward J. McCluskey Technical Achievement Award, the IEEE CS 2023 Taylor L. Booth Education Award, ACM SIGSAC 2010 Outstanding Contributions Award, the IEEE Comsoc Communications and Information Security 2019 Technical Recognition Award, the IEEE CS Services Computing 2017 Research Innovation Award, the ACM CODASPY 2017 Lasting Research Award, and the ACM SACMAT 10 Year Test of Time Awards for 2018 and 2019 (for papers published in 2008 and 2009). Her 44+ year career includes industry (Honeywell), federal research laboratory (MITRE), US government (NSF) and US Academia. Her work has resulted in 140+ journal articles, 300+ conference papers, 200+ keynote and featured addresses, seven US patents, sixteen books, and over 120 panel presentations including at Fortune Media, Lloyds of London Insurance, Dell Technologies World, United Nations, and the White House Office of Science and Technology Policy. She has also written opinion columns for popular venues such as the New York Times, Inc. Magazine, Womensday.com and the Legal 500, She received her PhD from the University of Wales, Swansea, UK, and the prestigious earned higher doctorate (D. Eng) from the University of Bristol, UK. She also has a Certificate in Public Policy Analysis from the London School of Economics and Political Science. She has been featured in the book by the ACM in 2024 titled: “Rendering History: The Women of ACM-W” as one of the 30+ “Women that Changed the Face of World Wide Computing Forever.”