David Tse

David Tse
Name	David Tse
Birth date	1960s
Nationality	American
Fields	Information theory, Electrical engineering, Computer science
Workplaces	Stanford University
Alma mater	California Institute of Technology, Massachusetts Institute of Technology
Doctoral advisor	Robert G. Gallager
Known for	Capacity of wireless networks, deterministic approaches to communication, information theory
Awards	IEEE Fellow, MacArthur Fellowship

David Tse is an American engineer and theorist renowned for contributions to information theory, wireless communication, and statistical signal processing. He is a professor at Stanford University whose work spans foundational results in channel capacity, network information theory, and algorithms for multiuser systems. His research has influenced standards in cellular network design and inspired advances in machine learning and coding theory.

Early life and education

He completed undergraduate studies at the California Institute of Technology where he studied electrical engineering and developed early interests in signal processing and communications theory. He pursued graduate studies at the Massachusetts Institute of Technology under the supervision of Robert G. Gallager, earning a Ph.D. focused on theoretical aspects of information theory and stochastic processes. During his doctoral work he interacted with faculty members associated with MIT Lincoln Laboratory and participated in collaborations that connected academic theory to problems faced by Bell Labs and the broader telecommunications industry.

Academic career

He joined the faculty of Stanford University in the Department of Electrical Engineering and later held appointments bridging computer science and statistics. At Stanford University he taught courses tied to information theory, network algorithms, and probability theory while advising doctoral students who went on to positions at institutions such as University of California, Berkeley, Princeton University, Harvard University, and industry laboratories including Google and Microsoft Research. He has held visiting positions at research centers including Microsoft Research and collaborated with engineers from Qualcomm and Nokia on applied problems in multiple-input multiple-output systems. He has served on program committees for conferences such as IEEE International Symposium on Information Theory and NeurIPS and on editorial boards of journals including IEEE Transactions on Information Theory.

Research contributions

His work provided rigorous characterizations of capacity limits in multiuser environments, notably advancing understanding of interference channels, broadcast channels, and relay networks within network information theory. He introduced deterministic approximations that linked the behavior of complex stochastic channels to tractable combinatorial models, facilitating insights that influenced design in cellular network architectures and standards pursued by 3GPP. He developed algorithms for resource allocation and scheduling that drew on connections between queueing theory, Markov processes, and utility optimization frameworks used in Internet engineering.

He made significant contributions to MIMO (multiple-input multiple-output) systems, establishing performance bounds and practical signaling strategies that informed technological development at Qualcomm and shaped research in Massive MIMO for next-generation wireless. His studies of distributed compression and coordination in sensor and ad hoc networks linked topics in rate-distortion theory with practical constraints faced by deployments like those by Cisco Systems and military research at DARPA.

Cross-disciplinary work connected his information-theoretic methods to problems in statistical physics and machine learning, where ideas about sparse representations and message-passing algorithms influenced approaches in compressed sensing and inference methods used by groups at Google DeepMind and academic labs at Carnegie Mellon University.

Awards and honors

He was elected a fellow of the Institute of Electrical and Electronics Engineers in recognition of contributions to information theory and communication systems. He received a prestigious MacArthur Fellowship for innovative work linking theory and application in communication networks. His papers have been recognized with best paper awards at venues such as the IEEE International Conference on Communications and the ACM Symposium on Theory of Computing; professional societies including the American Association for the Advancement of Science and the National Academy of Engineering have cited his influence when promoting collaborative initiatives. He has been invited to give named lectures at institutions like Harvard University and ETH Zurich and has served on advisory panels for agencies such as NSF and DARPA.

Selected publications

- Tse, D., and Hanly, S. "Multiaccess fading channels—part I: Polymatroid structure, optimal resource allocation and throughput capacities." IEEE Transactions on Information Theory, foundational paper linking multiuser detection to capacity regions. - Tse, D., and Viswanath, P. "Fundamentals of Wireless Communication." Cambridge University Press textbook synthesizing results in wireless communication, fading channels, and MIMO theory. - Avestimehr, S., Diggavi, S., and Tse, D. "Wireless network information flow: A deterministic approach." IEEE Transactions on Information Theory paper proposing deterministic models for approximate capacity characterization. - Tse, D., et al. "Capacity-achieving strategies for interference channels." Proceedings of the IEEE International Symposium on Information Theory presenting strategies for interference management. - Cover, T. M., and Tse, D. "Elements of information theory" (contributor). Seminal work linking classical information theory concepts to contemporary network problems.

Category:Living people Category:American electrical engineers Category:Information theorists