Jacobs Family Scholar, HDSI Fellow, and Professor
Editor in Chief
Other Center Affiliations
My research area involves stochastic analysis, design, and control of information collection, processing, and transfer in modern networked systems. This covers broad theoretical questions as well as practical implementation of various solutions. In my research group, we often prove theorems but we also build and test our theoretical findings when possible (graduate applicants, please refer to this link!). In particular, the work can be broadly broken into the following areas:
1. Active Learning, Active Hypothesis Testing and Sequential Information Theory,
2. Stochastic Control and Optimization of Networks, and
3. AI and Learning-enabled Optimization of Wireless Communications and Networks
On the theoretical front, I am most concerned with the problem of sequential information acquisition and interactive learning where the cost of data collection and/or labeling can be substantially reduced. Here the challenge is to deal with imperfect and noisy data as well as the dynamics of data. Here our objective has been to 1) develop algorithms that acquire the most informative features with the minimum cost and 2) design queries and data collections that account for the uncertainty and inconsistency (of humans) in the loop.
On the more practical front, I am interested to apply our developed algorithms in the following three application domains: 1) next generation wireless networks , 2) service drones, and other 3) decentralized learning and control systems.
Prof. Tara Javidi and UCSD have been selected to join the Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, a program of Schmidt Futures, to accelerate the next scientific revolution by applying AI to research in science, technology, engineering and mathematics (STEM). The fellowship will support postdoctoral scholars in applying AI technology to research in STEM fields.
The U.S. National Science Foundation recently announced 11 new artificial-intelligence research institutes, including The Institute for Learning-enabled Optimization at Scale (TILOS) lead by Prof Tara Javidi as one of the 4 coPIs. The AI research institutes are part of a $220 million investment spanning seven research areas in AI. Each institute receives about $20 million over five years. Congratulations to TILOS Team!
Prof. Tara Javidi along with her collaborators has been awarded one of highly competitive 2021 MURI projects, entitled "AutoCoMBOT: Autonomy in Cyberspace through robot learning and Man-BOT Teaming"!
Our JSAC paper on "Active Learning and CSI Acquisition for mmWave Initial Alignment"- coauthored with (former) PhD students Sung-En Chiu and Nancy Ronquillo- has received the IEEE Communications Society & Information Theory Society Joint Paper Award!
Prof. Tara Javidi is awarded University of Michigan ECE’s Distinguished Educator Award for her excellence in information and system theory education. This award is the highest recognition granted by UM ECE to its alumni in academia and recognizes those who have made a significant and lasting impact in education.
Women in Information Theory Society Production
Congratulations to newly graduated Dr Nancy Ronquillo!