Home > Seminars > All Right and On Time: Delivering Trustworthy and Timely Information in the Age of Data Science

All Right and On Time: Delivering Trustworthy and Timely Information in the Age of Data Science


11/12/2019 at 11:00AM


11/12/2019 at 12:00PM


258 Fitzpatrick Hall
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Data science boasts that computers will be able to predict our future; a future we hope will have fleets of autonomous vehicles, robotic medical teams, and tactile internet experiences. Yet, will we ever be able to trust predictions made by algorithms and the timeliness of our networks? In the first half of this seminar, I will present SafePredict, a machine learning meta-algorithm capable of providing arbitrary correctness by using refusals. The strength of SafePredict is in its minimal assumptions which make it compatible with any prediction algorithm. In the second half of this seminar, I will talk about my recent results relating the age of information, a receiver-centric notion of delay, with arbitrary horizons and partial updates, i.e., lossy compressed updates. Adopting the concept of the age of information promises to improve the performance of systems that heavily depend on having timely updates which are becoming more commonplace.

Seminar Speaker:

David Ramirez

David Ramirez

David Ramirez is a postdoctoral researcher at Princeton University working with H. Vincent Poor and also a postdoctoral diversity fellow of the School of Engineering and Applied Sciences. He obtained his Ph.D. and M.S. in ECE from Rice University, advised by Behnaam Aazhang, and his bachelor's degree in Physics from "Monterrey Tec" in Mexico.
His research has focused on optimal resource allocation for future wireless networks, e.g., networks operating in full-duplex or in millimeter-wave frequencies. David's research is now focused on promoting and enabling service-centric wireless networks to improve day-to-day life, e.g., arbitrarily correct predictions, secure distributed computing, more timely and less delayed service provisioning.

David has been the recipient of a Princeton Postdoctoral Fellowship, Texas Instrument Graduate Fellowship, the Robert Lowry Patten Graduate Student award at Rice University, multiple speaking and service awards, and was recently selected as a candidate member for Mexico’s National System of Researchers. Beyond research, David is actively engaged with promoting diversity, equity, and inclusion within academia. He has guided dozens of URM students to pursue graduate degrees at top programs.