ACM ByteCast

In this episode of ACM ByteCast, Harald Störrle hosts Darja Smite, Professor of Software Engineering at Blekinge Institute of Technology and a part-time research scientist at SINTEF ICT. Darja is an expert on the future of work and the impact of globalization and offshoring in software companies. She has conducted research with and international companies such as ABB, Boss Media, CALVI, DXC, Emerson Process Management, Ericsson, SONY, Spotify, and, Telenor and has insights from cooperating with offshore vendors in India, China, Poland, Latvia, Ukraine and Russia. Darja shares her background, growing up in Latvia with a love for math, and later moving to Sweden for work and Norway to conduct research at SINTEF, one of Europe's largest independent research organizations. She shares some of her research findings on outsourcing and discusses the effect automation will have on outsourcing and profitability. She also discusses reasons why people stay or leave their jobs, as well as cultural differences and the challenge of people from different cultures finding common ground. Darja also touches on the impact of COVID on work practices in the past five years and offers advice for people considering a career in IT.

In this episode, part of a special collaboration between ACM ByteCast and the American Medical Informatics Association (AMIA)’s For Your Informatics podcast, Sabrina Hsueh hosts accessibility researcher and inventor Chieko Asakawa, an IBM Fellow at the IBM T.J. Watson Research Center, the Chief Executive Director of The National Museum of Emerging Science and Innovation (Miraikan) in Japan, and an IBM Distinguished Service Professor at Carnegie Mellon University. Chieko’s inventions include the Home Page Reader (HPR); a word processor for Braille documents; a digital library for Braille documents; an application to improve accessibility of streaming services; and, most recently, the AI Suitcase project. Her career has been recognized with numerous prestigious awards and honors, including becoming the first Japanese woman IBM Fellow in 2009, receiving the “Medal of Honor with Purple Ribbon” from the Emperor of Japan in 2013, her induction into the US National Inventors Hall of Fame in 2019, being named a Fellow of the National Academy of Inventors, and the ACM SIGACCESS Award for Outstanding Contributions to Computing and Accessibility in 2024. In the interview, Chieko shares how becoming blind early in life led her to work in accessibility research. She talks about her IBM team’s work on the Home Page Reader, the first practical voice browser to provide effective internet access for blind and visually impaired computer users, as well as more recent work on the AI suitcase, a robot that helps visually impaired people walk around and navigate independently. Chieko and Sabrina touch on AI’s potential in aiding accessibility and the inspiration for the AI Suitcase. She offers advice and best practices for both early and mid-career researchers and interdisciplinary professionals.

Join Alvin Wang Graylin, Global VP at HTC and a leader in VR, as he discusses his impressive tech journey, from early computer experiences to his role in immersive technology. He shares insights on the convergence of AI and VR, and how these innovations can transform education and employment. Alvin reveals his experiences in the Chinese tech landscape, emphasizing the importance of networking and ethical considerations in AI tech. His perspectives on societal impact and the future of technology inspire aspiring technologists to be responsible and innovative.

In this episode of ACM ByteCast, Bruke Kifle hosts ACM Fellow and ACM Distinguished Service Award recipient Jennifer Chayes, Dean of the College of Computing, Data Science, and Society at UC Berkeley. Before joining Berkeley, she co-founded the Theory Group at Microsoft Research Redmond and later founded and led three interdisciplinary labs: Microsoft Research New England, New York City, and Montreal. Her research areas include phase transitions in CS, structural and dynamical properties of networks including graph algorithms, and applications of ML. Jennifer is one of the inventors of the field of graphons, widely used for the ML of large-scale networks. Her recent work includes generative AI and ML theory in areas like cancer, immunotherapy, climate change, and ethical decision making, with more than 150 scientific papers authored and 30 patents she co-invented. Her honors and recognitions include the Anita Borg Institute Women of Vision Leadership Award, SIAM’s John von Neumann Lecture Award (the highest honor bestowed by SIAM), and election to the American Academy of Arts and Sciences and the National Academy of Sciences. She serves on numerous boards and advisory committees and has served on the ACM A.M. Turing Award Selection Committee. Jennifer shares her early experience as the child of Iranian immigrants, dropping out of high school and learning to embrace risk. She describes her journey from being a pre-med biology major to a PhD in mathematical physics, and how her love of theory and an interest in interdisciplinary work led her to start a Theory Group at Microsoft Research. She also relates how her later interest in economics and game theory led to the founding of Microsoft Research New England, and highlights some of her work there. She and Bruke talk about the challenges she has navigated throughout her career, and how that has influenced her approach to interdisciplinary research. Jennifer also shares her vision and goals for the College of Computing, Data Science, and Society at UC Berkeley. Finally, she opines on the skills needed for future leaders in computing, some of the urgent problems of our time, and offers some advice to young computing professionals.

Roger Dannenberg, Professor Emeritus at Carnegie Mellon University, is a trailblazer in computer music and co-creator of Audacity. He explores the fusion of sound, mathematics, and AI, discussing how technology has transformed music creation. Roger highlights the dual role of AI as both a challenge and an opportunity for musicians. He also shares his passion for making music accessible through open-source tools and emphasizes the importance of pursuing one's passions in tech fields. Tune in for insights on the future of music and technology!

Xin Luna Dong, Principal Scientist at Meta Reality Labs and a renowned expert on knowledge graphs, shares the spark behind her early fascination with computing in China. She dives into the structure and significance of knowledge graphs, detailing their roles at Google and Amazon. The conversation reveals how advancements in ML and AI are transforming data integration methods. Luna also discusses Retrieval-Augmented Generation (RAG) and its potential to enhance personalized experiences in information retrieval, alongside valuable career insights for aspiring data professionals.

Nashlie Sephus, Principal Tech Evangelist at Amazon AI, is a trailblazer in AI fairness and bias mitigation. She dives into her early love for math and music, which informed her doctoral work in digital signal processing. Nashlie discusses her role in developing visual search technology that revolutionized part identification at Amazon. She also shares insights on the importance of responsible AI, community empowerment through her nonprofit Bean Path, and the necessity for diversity within tech to drive innovation.

Wen-Mei Hwu, a Senior Distinguished Research Scientist at NVIDIA and Professor Emeritus at the University of Illinois, shares insights into processor architecture evolution. He discusses the impact of Moore’s Law and Dennard Scaling on efficiency in chip design. The conversation delves into the early days of specialized processors, the rise of GPUs, and the complexities of full-stack development. Wen-Mei also speculates on future innovations in computing and his vision for technology aimed at enhancing human relationships.

In this episode of ACM ByteCast, Harald Störrle hosts ACM Fellow and Software System Award recipient Xavier Leroy, professor at Collège de France and member of the Académie des Sciences. Best known for his role as a primary developer of the OCaml programming language, Xavier is an internationally recognized expert on functional programming languages and compilers, focusing on their reliability and security, and has a strong interest in formal methods, formal proofs, and certified compilation. He is the lead developer of CompCert, the first industrial-strength optimizing compiler with a mechanically checked proof of correctness, with applications to real-world settings as critical as Airbus aircraft. In the past, he was a senior scientist at INRIA, a leading French research institute in computer science, where he is currently a member of the Cambium research team. His honors and recognitions also include the ACM SIGPLAN Programming Languages Achievement Award and the Milner Award from the Royal Society. Xavier shares the evolution of Ocaml, which grew out of Caml, an early ML (Meta Language) variant, and how it came to be adopted by Jane Street Capital for its financial applications. He also talks about his interest in formal verification, whose adoption in the software industry is still low due to high costs and the need for mathematical specifications. Harald and Xavier also dive into a discussion of AI tools like Copilot and the current limitations of AI-generated code in software engineering. The conversation also touches on ACM’s efforts to become a more global and diverse organization and opportunities to bridge the gap between academia and industry.

In this episode of ACM ByteCast, Bruke Kifle hosts ACM Fellow Ramón Cáceres, a computer science researcher and software engineer. His areas of focus have included systems and networks, mobile and edge computing, mobility modeling, security, and privacy. Most recently he was at Google, where he built large-scale privacy infrastructure. Previously, Ramón was a researcher at Bell Labs, AT&T Labs, and IBM Research. He also held leadership positions in several startup companies. In addition to being the first ACM Fellow from the Dominican Republic, he is an IEEE Fellow and has served on the board of the CRA Committee on Widening Participation in Computing Research. He holds a PhD in Computer Science from the University of California at Berkeley. Ramón, who took an indirect path to computer science, shares how he started in computer engineering but grew more interested in software, and how his strong background in hardware helped throughout his scientific and engineering career. He identifies some of the most significant challenges facing privacy and security and sheds lights on his work with the Google team that developed Zanzibar, Google's global authorization system supporting services used by billions of people. Ramón looks toward the future of mobile and edge computing in the next 5-10 years and his particular interest in federated machine learning, which brings together AI and mobile and edge computing. In the wide-ranging interview, he also reflects on growing up in the Dominican Republic and later discovering a love for sailing while in Silicon Valley, shares his efforts to bring underrepresented groups into the field of computing, and offers advice for aspiring software engineers.