Brief bio: Aravind Srinivasan's main research-interests are in algorithms, probabilistic methods, data science, network science, and machine learning: theory, and applications in areas including health, E-commerce, cloud computing, Internet advertising, and fairness. They span areas including:
New Papers: Seven papers to
appear in AISTATS or AAMAS 2022:
|Education:||B.Tech. (Computer Science & Engineering),
Indian Institute of Technology Madras, 1989. Advisor:
Prof. C. Pandu Rangan
Ph.D. (Computer Science), Cornell University, 1993. Advisor: Prof. David B. Shmoys
|Postdoc:||Institute for Advanced Study (Princeton) and DIMACS (Rutgers), 1993-94.|
|Publications:||My publications and co-authors.|
|Teaching:|| I will teach a substantially re-designed class CMSC 454, Algorithms for Data Science, in Spring 2022; it will include sketching and
streaming, high-dimensional geometry, algorithmic linear algebra, optimization
and gradient descent, differential privacy, and fairness.
My previous courses.
|Students:||Current PhD Students:
Seyed Abdulaziz Esmaeili,
(Duppala, Esmaeili, Prins, and Tsepenekas co-advised with John P. Dickerson; Madan co-advised with
Former PhD Students:
Current/former MS students: Dr. Ioana Bercea, Evar Jones, Dan-Dan Lin, Geoffrey Moores, and Tommy Pensyl.
Other current/former students with significant collaborations: Dr. Suman Banerjee, Dr. Rajiv Gandhi, Dr. Seungjoon Lee, Dr. Ruggero Morselli, and Dr. Barna Saha.
Summer intern at Bell Labs: Dr. Adam Meyerson.
Mentorship of undergrad Gemstone teams:
Undergraduate independent study: Michael Eleff (Spring 2015).
High-school student continuing through undergrad: Naveen Raman (2018-2020; co-advised by John Dickerson and Max Leiserson).
High-school students: Antares Chen (2014-2015; co-advised by David Harris), Tanya Das (2021-2022; co-advised by Achla Marathe and Anil Vullikanti), Naveen Durvasula (2015-2019 and ongoing; co-advised by John Dickerson), Anushka Gandhi (2021-2022; co-advised by Achla Marathe and Anil Vullikanti), Levon Mkrtchyan (2006), Steven Qu (2017-2019 and ongoing; co-advised by Madhav Marathe and Anil Vullikanti), Shreya Vallimanalan (2020-2021; co-advised by Anil Vullikanti), Claire Zhang (2021-2022; co-advised by Leonidas Tsepenekas and Michael Winer), and Shawn Zhao (2019-2020; co-advised by Brian Brubach).
|Recent/Current Program Committees:||Area Chair, ICLR 2022; PC Member, SODA 2022; Area Chair, ICLR 2021; Area Chair, ICML 2020; Senior PC, AAAI 2020.|
|Editorial Boards:||Associate Editor, ACM Transactions on Algorithms (TALG; Editor-in-Chief, 2014-2020).
Editor, Theory of Computing (ToC), an open-access journal (Managing Editor, 2006-2019).
Editor, Journal of the IISc.
Associate Editor, Networks, 2006-2019.
Associate Editor, Journal of Computer and System Sciences (JCSS), 2004-2014.
Editor, Journal of Discrete Algorithms (JDA), 2004-2012.
Guest Co-editor, special issue of the SIAM Journal on Computing for selected papers from STOC 2010 (completed).
Guest Co-editor, special issue of Theory of Computing Systems (2004) for selected papers from SPAA 2004 (completed).
Guest Co-editor, special issue of JCSS (2004) for selected papers from STOC 2003 (completed).
|Links:||My links are here.|
|Contact:|| Room 4164, Iribe Center
Dept. of Computer Science
University of Maryland at College Park
College Park, MD 20742, USA
Phone (email preferred): 301-405-2695, Fax: 301-405-6707
E-mail: asriniv1 AT umd DOT edu