Congratulations to RISELab’s newest faculty member Aditya Parameswaran for winning this year’s VLDB Early Career Award. The award recognizes a researcher who has demonstrated research impact through a specific technical contribution of high significance since completing their Ph.D. More information can be found here: https://vldb.org/2019/?2019-vldb-endowment-awards Congrats Aditya!
Congratulations to Professor Raluca Ada Popa for making this year’s M.I.T. Technology Review’s list of 35 Innovators Under 35! Read more on the M.I.T. Technology Review website.
Congratulations to Prof. Raluca Ada Popa for receiving the prestigious Microsoft Research Faculty Fellowship! The fellowship recognizes innovative, promising new faculty members, whose exceptional talent for research and innovation identifies them as emerging leaders in their fields.
For a summary of recent news and publications, check out the RISELab Newsletter here.
We are excited to announce the launch of RISELab’s DARE program. One of the most challenging barriers to participating in research for undergraduate students is reaching out to professors and finding a match that works for both the student and the professor. DARE, founded by Professor Raluca Ada Popa and her students Wenting Zheng and Jessica Ji, acts as an active liaison to remove this barrier and make electrical engineering and computer science research more readily accessible, as well as to encourage diversity of thought in these growing fields. DARE strongly encourages women and traditionally under-represented groups to apply. Website: https://dare.berkeley.edu Raluca Ada Popa
Tutorials from RISE Camp held at International House in Berkeley, CA on October 11-12, 2018 are now available the RISE Camp website here. Additional information including the Agenda can also be found there.
A summary of our recent news, publications, awards and a note from our Director Ion Stoica is available online at this link.
Professor Joseph Gonzalez was recently awarded the prestigious Okawa research grant to explore systems for managing the machine learning lifecycle. More information can be found at EECS News and the Okawa Foundation website.