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Brian Harvey is Teaching Professor Emeritus at the University of California at Berkeley. His interests include computer science education, curricula, programming languages, and visual languages. Harvey is the author of Computer Science Logo Style and Simply Scheme (with Matthew Wright), an introduction to computer programming for non-majors. With his Berkeley colleague Dan Garcia, Harvey developed the Beauty and Joy of Computing (BJC) curriculum. In his interview, he discusses the inspiration behind his computer center at Lincoln-Sudbury Regional High School, the success of the Beauty and Joy of Computing curriculum, why grades are “evil,” and more

Carla Fabiana Chiasserini is a Professor at Politecnico di Torino. Her research interests include algorithm design and analysis, machine learning for networking, wireless networks, and power management for networked devices. Chiasserini was recently named an ACM Fellow for contributions to the design of high-performance mobile networks and services. In her interview, she discusses how computer networks benefit from machine learning, medical applications of the O-RAN project, full exploitation of connected car data, and more.

Ashish Sharma is a Senior Applied Scientist at the Microsoft Office of Applied Research after earning his PhD at the University of Washington. Sharma recently received the ACM Doctoral Dissertation Award for his dissertation ‘Human-AI Collaboration to Support Mental Health and Well Being” in which he developed fundamental advances in natural language processing to positively impact the mental health of large groups of people. In his interview, he discusses what drew him to the field of human-AI collaboration, how his technology works with differing mental health situations, its potential for long-term impact, and more.

Sewon Min is an Assistant Professor at the University of California, Berkeley and a research scientist at the Allen Institute for AI. At UC Berkeley, she is part of the Berkeley Artificial Intelligence Research Lab (BAIR) as well as the Berkeley NLP Group. Min recently received an Honorable Mention for the ACM Doctoral Dissertation Award for her dissertation “Rethinking Data Use and Large Language Models.”  In her interview, she discusses the limitations of large language model learning, LLMs and private information, designing models that align with data owner interests, and more.

Peter Stone is a Professor at The University of Texas at Austin, where he is the founder and director of the Learning Agents Research Group (LARG). He is also the Chief Scientist of Sony AI. He is an ACM Fellow and recently received the ACM-AAAI Allen Newell Award for significant contributions to the theory and practice of artificial intelligence. In his interview, he discusses utilizing intelligent agents at intersections, participating in the international RoboCup competitions, novel applications of AI in the future, and more.

Derek Dreyer is a Scientific Director at the Max Planck Institute for Software Systems (MPI-SWS) in Saarbrücken, Germany. At MPI-SWS, he leads the Foundations of Programming Group. His broad range of interests include type systems, semantics of programming languages, verification of concurrent programs, and interactive theorem proving. In his interview, he discusses the RustBelt project and its open-source development model, Iris separation logic, his lifelong appreciation of classical music, and more.

Since retiring from the National Science Foundation in 2011, Carl E. Landwehr has served in many positions, most recently as Visiting Professor at the University of Michigan, Ann Arbor, and lead research scientist at the Cyber Security and Privacy Research Institute, George Washington University. In his interview, he discusses developments in computer security during his career, trustworthy computing, teaching undergraduates to make good decisions in cybersecurity and public policy, and more.

Rachid Guerraoui is a Professor in the School of Computer and Communications Sciences at EPFL. He is recognized as one of the leading figures in distributed computing, an area of research that aims to make multiple computers work together to solve a common problem. His innovations address the fundamental theory and practice of distributed computing, including problems such as agreement and reliable information dissemination. In his interview, he discusses the importance of BFT protocols, robustness and developing trustworthy models, his efforts to improve computer science education in Africa, and more.

Susanne B?dker is a Professor at Aarhus University (Denmark). Her research interests include human-computer interaction (HCI), computer-supported cooperative work, and participatory design, and she is credited with introducing activity theory to human-computer interaction. B?dker was an Associate Editor of ACM Transactions on Computer-Human Interaction (TOCHI) from 2004-2018. In her interview, she discusses activity theory and its origins, her Common Interactive Objects project, the importance of participatory design, and more.

 Tim Menzies is a Professor at North Carolina State University. His interests include artificial intelligence, intelligent agents, data sciences, analytics, as well as software engineering and programming languages. One of his goals is to develop computer systems that make the best decisions possible with the least amount of data. In his interview, he discusses how automated software engineering is evolving, the relationship between AI and computer programming, reproducible software engineering research, and more.

Amey Dharwadker is a Machine Learning Engineering Manager at Meta, leading the Facebook Video Recommendations Quality Ranking team. He oversees the development of video ranking models that enhance content quality and personalization for over two billion users daily. Previously, Dharwadker advanced user engagement and revenue growth across Meta’s platforms through his work on Facebook’s News Feed and Ads Ranking systems. In his interview, he discusses recommender systems for videos, modeling complex user-content interactions through advanced neural network architectures, the VideoRecsys workshop, and more.

Nicola Dell is an Associate Professor at the Jacobs Technion-Cornell Institute at Cornell Tech and in the Information Science Department at Cornell University. Her research investigates the impact of digital technologies on underserved communities and builds systems and interventions that make our computing-mediated world safer and more equitable for everyone. In her interview, she discusses empowering people to solve problems in real-world settings, her work with the Clinic to End Tech Abuse, easing the challenges home health aides face, and more.

Ian F. Akyildiz served as the Ken Byers Chair Professor in Telecommunications at the School of Electrical and Computer Engineering at the Georgia Institute of Technology for 35 years before retiring in 2020. Since 1989, he has also been the President and CTO of Truva Inc., a company dedicated to conducting research and teaching classes in the telecommunications field. In his interview, he discusses the benefits of nanonetworks, the integration of 5G and 6G technology with the Metaverse, the goals of the Technology Innovation Institute, and more.

Abhik Roychoudhury is Provost’s Chair Professor of Computer Science at the National University of Singapore (NUS). His interests include software testing and analysis, and more generally trustworthy software systems. Roychoudhury’s research group has also made significant contributions to fuzzing and symbolic execution, and their usage in software testing/automatic programming. In this area, his group has been honored with various awards including an ICSE Most Influential Paper Award (10 Year Test-of-Time Award) for automated program repair. In his interview, he discusses automated program repair methods, researching fuzzing and software security, the Three "I"s of Research, and more.

Heloisa Caroline de Souza Pereira Candello is a research scientist at the Responsible & Inclusive Group at the IBM Research laboratory in S?o Paulo, Brazil. She applies her expertise in user research and user experience design to create engaging and ethical AI interactive systems, especially conversational interfaces. One of her primary interests has been in applying design methods to uncover how people use multimedia features in their mobile devices in cultural heritage settings. In her interview, she discusses user experience fostering ethical AI systems, recent changes in chatbots, how cultural heritage impacts the use of multimedia features, and more.

Jonathan Crowcroft is the Marconi Professor of Communications Systems in the Computer Lab at the University of Cambridge. He is also a Visiting Professor at the Department of Computing at Imperial College London, and the Chair of the Program Committee at the Alan Turing Institute. He is credited with fundamental contributions to rural broadband, helping extend the Internet to multimedia, and founding the field of opportunistic networking. In his interview, he discusses Internet bandwidth challenges, data vulnerabilities in the cloud, his work with the ACM Symposium on Computer Science and Law, and more.

Xin Luna Dong is Principal Research Scientist at Meta Reality Labs, where she is leading the machine learning efforts to build an intelligent personal assistant. Developing an intelligent personal assistant includes work in contextual AI, multimodal conversation, search, and question answering, as well as recommendation and personalization. Her research interests include databases, data mining, natural language processing (NLP), and machine learning. In her interview, she discusses knowledge graphs and applications, virtual assistants for wearable devices, personal information management and personalization, and more.