ACM ByteCast

In this episode, Luiz André Barroso, Google Fellow and ACM-IEEE CS Eckert-Mauchly Award recipient, talks about his background in computing, strategies for building efficiencies and hardware acceleration, passion for building Google Maps and Google Earth, opportunities for industry-wide collaborations and energy efficiency in data centers, and excitement for machine learning and online safety.

In this episode of ACM ByteCast, Rashmi Mohan hosts 2021-2022 ACM Athena Lecturer Ayanna Howard, Dean of the College of Engineering at The Ohio State University and founder and President of the Board of Directors of Zyrobotics. Previously she was chair of the Georgia Institute of Technology School of Interactive Computing in the College of Computing, where she founded and led the Human-Automation Systems Lab (HumAnS). Before that, she worked at NASA’s Jet Propulsion Laboratory (JPL). She is a Fellow of AAAI and IEEE. Among her many honors, Howard received the Computer Research Association’s A. Nico Habermann Award and the Richard A. Tapia Achievement Award. Forbes named her to its America's Top 50 Women in Tech list. In the interview Ayanna looks back on her early love of robotics, inspired by science fiction, teaching herself how to program, and working a high school job at the California Institute of Technology. She shares some of her favorite research projects at JPL, where she designed expert systems, and describes the transition from government/industrial work to academia. She also talks about AI challenges relating to training models and large-scale deployment of lab-tested algorithms—offering warnings for technologists—as well as some potential solutions from her research. Rashmi and Ayanna also touch on her company, Zyrobotics, which develops mobile therapy and educational products for children with special needs, and her book, Sex, Race, and Robots: How to Be Human in the Age of AI.

In this episode of ACM ByteCast, Rashmi Mohan hosts Mounia Lalmas, Director of Research and Head of Tech Research in Personalization at Spotify, leading a team of researchers in content personalization and discovery. Prior to that, she was Director of Research at Yahoo London. She also holds an Honorary Professorship at University College London. Mounia’s work focuses on studying user engagement in areas such as native advertising, digital media, social media, and search, and now audio (music and talk). She is a frequent conference speaker, author, and organizer whose research has appeared at many ACM (and other) conferences, including CIKM, RecSys, SIGIR, SIGKDD, UMAP, WSDM, WWW, and more. Mounia relates her beginnings in computing as a young student growing up in Algeria, her love for mathematical abstraction, and passion for evaluation and user engagement. She also traces her interest in the field of information retrieval and highlights some of the challenges in building robust recommender systems for music lovers. Mounia and Rashmi also discuss the differences between academic and industrial research, the important role conferences and networking play in computing research, and what excites her most in the fields of personalization research and information retrieval.

In this episode of ACM ByteCast, Rashmi Mohan hosts Bryan Cantrill, Co-founder and Chief Technology Officer at Oxide Computer Company and a past member of the ACM Queue Editorial Board. Previously, he was Vice President of Engineering and CTO at Joyent. He is known for his work on the award-winning DTrace software, a comprehensive dynamic tracing framework for which he was included in MIT Technology Review’s TR35 (35 Top Young Innovators) list. Bryan describes discovering computing as a kid growing up in the 80s and falling in love with the challenge of solving difficult problems and getting hard programs to work. He talks about DTrace, which he first conceived as an undergraduate at Brown University and co-designed at Sun Microsystems (later acquired by Oracle). He also explains why he thinks open source will conquer every domain, his current challenge of designing a rack-scale computer for the enterprise, and much more.

In this episode of ACM ByteCast, our special guest host Scott Hanselman (of The Hanselminutes Podcast) welcomes 2013 ACM A.M. Turing Award laureate Leslie Lamport of Microsoft Research, best known for his seminal work in distributed and concurrent systems, and as the initial developer of the document preparation system LaTeX and the author of its first manual. Among his many honors and recognitions, Lamport is a Fellow of ACM and has received the IEEE Emanuel R. Piore Award, the Dijkstra Prize, and the IEEE John von Neumann Medal. Leslie shares his journey into computing, which started out as something he only did in his spare time as a mathematician. Scott and Leslie discuss the differences and similarities between computer science and software engineering, the math involved in Leslie’s high-level temporal logic of actions (TLA), which can help solve the famous Byzantine Generals Problem, and the algorithms Leslie himself has created. He also reflects on how the building of distributed systems has changes since the 60s and 70s. Subscribe to the Hanselminutes Podcast: https://www.hanselminutes.com/. Links: Time-Clocks Paper Bakery Algorithm Mutual Exclusion Algorithm

In this episode of ACM ByteCast, Rashmi Mohan hosts Suchi Saria, the John C. Malone Associate Professor of Machine Learning and Healthcare at Johns Hopkins University, where she uses big data to improve patient outcomes. She directs the Machine Learning and Healthcare Lab and is the founding research director of the Malone Center for Engineering in Healthcare. Saria has worked on projects with the NSF, NIH, DARPA, and the FDA and is the founder of Bayesian Health. Her many recognitions include Popular Science magazine’s “Brilliant 10”, the MIT Technology Review’s 35 Innovators Under 35, and World Economic Forum Young Global Leader. Suchi describes tinkering with LEGO Mindstorm and reading about AI and the future as a child in India and how, years later, she ended up at the forefront of applying machine learning techniques to computational biology. She explains how ML can help healthcare go from a reactive to a predictive and preventive model, and the challenge of making sure that the medical data collected is actionable, interpretable, safe, and free of bias. She also talks about the transition from research to practice and offers her best advice for students interested in pursuing computing.

In this episode of ACM ByteCast, Rashmi Mohan hosts past ACM Grace Murray Hopper Award recipient Luis von Ahn, co-founder and CEO of Duolingo, the world's most popular language-learning platform. He is also a Consulting Professor in the Computer Science Department at Carnegie Mellon University. Known as one of the pioneers of crowdsourcing, his many recognitions include the MacArthur Fellowship, MIT Technology Review's TR35, and the Lemelson-MIT Prize. They discuss how he, Manuel Blum, and others at Carnegie Mellon conceived the now famous technology behind reCAPTCHA, the company he founded before Duolingo, and sold to Google in 2009. Von Ahn gives insight into his journey toward harnessing the power of crowdsourcing to provide free, globally distributed language learning. They discuss the dominance of the English language in computing, the benefits and challenges of starting a company in Pittsburgh, some Duolingo user stories Luis has found particularly gratifying, and more.

In this episode of ACM ByteCast, Rashmi Mohan hosts Ramesh Raskar, Associate Professor at MIT Media Lab where he directs the Camera Culture research group. He holds more than 90 patents in computer vision, computational health, sensors, and imaging, and has co-authored books on Spatial Augmented Reality, Computational Photography, and 3D Imaging. His many awards and recognitions include the prestigious 2004 TR100 (MIT Technology Review), 2016 Lemelson–MIT Prize, and 2017 ACM SIGGRAPH Award. Raskar discusses the fascinating research field dedicated to capturing and recording the world in new ways. He explains how computer vision provides a new eye and brain to help us both in seeing and processing the world and shares his recent work with extremely high-speed imaging. He also mentions his COVID-19 project: developing privacy-first contact-tracing tools to stem the spread of the outbreak. Raskar also discusses balancing entrepreneurship and research, and his REDX project to bring peer-to-peer invention to his students and advance AI for Impact. Follow Ramesh and PathCheck Foundation on Twitter. Camera Culture research group at MIT Media Lab. PathCheck Foundation (COVID-19 research & technology)

In this episode of ByteCast, Rashmi Mohan hosts Denae Ford, a Senior Researcher at Microsoft Research in the Software Analysis and Intelligence Team (SAINTes) group and an Affiliate Assistant Professor in the Human Centered Design and Engineering Department at the University of Washington. Her research lies at the intersection of human-computer interaction and software engineering. In her work she identifies and dismantles cognitive and social barriers by designing mechanisms to support software developer participation in online socio-technical ecosystems. Ford is also a recipient of the National GEM Consortium Fellowship, National Science Foundation Graduate Research Fellowship, and Microsoft Research Ph.D. Fellowship. She is best known for her research on just-in-time mentorship as a mode to empower welcoming engagement in collaborative Q&A for online programming communities, including open-source software and work to empower marginalized software developers in online communities. In the interview, Ford relates how an undergraduate research project inspired her to pursue a PhD in computing. She describes her approach in designing various research studies, the process she used to identify challenges and barriers to engagement in communities such as StackOverflow and GitHub, and how she and her collaborators went about building interventions. They also discuss how some of these interventions can be applied by industry. Ford also shares some future directions and developments in computing that most excite her—and the possibilities in making the field more equitable and inclusive.

In this episode of ACM ByteCast, Rashmi Mohan hosts ACM Grace Murray Hopper Award recipient Jeffrey Heer. Heer is the co-founder of Trifacta, a provider of interactive tools for scalable data transformation, and the Jerre D. Noe Endowed Professor of Computer Science & Engineering at the University of Washington, where he directs the Interactive Data Lab and conducts research on data visualization, human-computer interaction, and social computing. The visualization tools developed by Heer and his collaborators – Vega(-Lite), D3.js, Protovis, Prefuse – are used by researchers, companies, and data enthusiasts around the world. In the interview, Heer explains how his longstanding interest in psychology and cognitive science led him to focus on human-computer interaction as a student in computing. He describes the deep satisfaction (and fun) of interdisciplinary research drawing on computer science, statistics, psychology, and design, as well as his passion for building open-source tools that people in the real world can use. He also covers some of the challenges particular to building visualizations in the age of big data, starting a company to commercialize academic research, and his current efforts to promote more comprehensive, robust, and transparent analysis results.