picture
Aravind Srinivasan
Hi, welcome to my home-page.
I am a
Distinguished University Professor and Professor of
Computer Science,
UMIACS, and
AMSC, at the
University of Maryland, College Park.
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:
- Algorithms, probabilistic methods, and continuous/combinatorial optimization;
- Interpretability and explainability in AI;
- The interface of algorithms, AI, and machine learning in:
- Data science and health: incl. computational epidemiology, (cancer) genomics, pharmacology, organ exchange, and medical devices.
- Data science and the Internet economy: incl. E-commerce, digital marketing, cloud optimization, crowdsourcing, and social networks.
- Data science and fairness: systematically incorporating (probabilistic, per-user/demographic) fairness in AI and in algorithms.
- Algorithms in networking (wireless and peer-to-peer), social networks, and
distributed/parallel computing;
- Computational approaches to sustainable growth (incl. energy, monitoring
and sensing, electric-power and water networks).
Dr. Srinivasan received his PhD from
Cornell University, and Bachelor's from
IIT Madras.
He is an elected Fellow of six professional societies:
ACM,
IEEE,
AMS,
AAAS,
EATCS,
and
SIAM.
He has been elected a Member of
Academia Europaea, the Academy of Europe. He was appointed a
Distinguished University Professor of the University of Maryland in 2020: this is the
highest academic honor the university confers upon its faculty.
He received a
Distinguished Alumnus Award from his
alma mater
IIT Madras. He also received the
Distinguished Faculty Award from the Board of
Visitors of the
College of Computing, Mathematical, and Natural Sciences (University
of Maryland). He is a recipient of the
Dijkstra Prize, the
Danny Lewin Award, and the
Distinguished Career Award in Computer Science from the Washington Academy of Sciences. One of his coauthored papers on forecasting/prediction received a KDD
Test of Time Award.
His past/current research has been funded by
research awards from
Adobe,
Amazon, and
Google, and by grants/contracts from
the NSF, IARPA, the Laboratory for Telecommunication Sciences, and USARO.
He serves as Associate Editor for the
ACM Transactions on Algorithms
(
Editor-in-Chief, 2014-2020),
as an Editor for
Theory of Computing
(
Managing Editor, 2006-2019),
and
as an Editor for the
Journal of the IISc.
Srinivasan has also been serving as an
Amazon Scholar since 2019.
Expanded bio and full CV: Here are
my
expanded bio and a
link
to my CV (last updated: May 13, 2025).
For prospective students:
Please read
this if you wish to email me
about admissions or about working with me.
Teaching:
I am teaching the class CMSC 454,
Algorithms for Data Science, in Fall 2025; there will be significant similarities with a
previous offering, with some new topics as well.
Students: Please join the class' Piazza forum when the semester starts.
My
previous courses.
Students:
Current PhD Students:
Sharmila Duppala,
Kishen Gowda,
Sanna Madan,
Nitya Raju,
and
Renata Valieva.
(Duppala co-advised with
John P. Dickerson;
Gowda co-advised with
Laxman Dhulipala;
Madan co-advised with
Eytan Ruppin;
Valieva co-advised with
Leonid Koralov.)
Graduated PhD Students:
- Dr. Brian Brubach, faculty member at Wellesley College;
- Dr. Amit Chavan,
AWS --> Snowflake, Inc.;
- Dr. Tom DuBois,
CTO of Maven --> Salesforce;
- Dr. Seyed Abdulaziz Esmaeili,
Postdoc at MSRI/SLMath and the University of Chicago;
- Dr. Nathaniel Grammel, Swarthmore College;
- Dr. Bo Han, AT&T Labs Research --> faculty member at George Mason University;
- Dr. David G. Harris,
U.S. Government;
- Dr. David Levin, faculty member at the University of Maryland;
- Dr. Juan Luque, Research Scientist at Meta;
- Dr. Srinivasan Parthasarathy, IBM T. J. Watson Research Center;
- Dr. Karthik Abinav Sankararaman, Research Scientist at Facebook;
- Dr. Khoa Trinh, Google Research;
- Dr. Leonidas Tsepenekas,
J. P. Morgan Chase AI Research;
- Dr. Nan Wang, Bank of America Merrill Lynch;
- Dr. Pan Xu, faculty member at NJIT.
(Brubach co-advised by
Mihai Pop,
Chavan co-advised by
Amol Deshpande,
Esmaeili co-advised by
John P. Dickerson,
Han co-advised by
Bobby Bhattacharjee,
Levin co-advised by
Bobby Bhattacharjee and
Neil Spring,
Tsepenekas co-advised by
John P. Dickerson,
and
Xu co-advised by
John P. Dickerson.)
Current/former MS students:
Dr. Ioana Bercea,
John Robert Cole,
Evar Jones,
Deepa Joy,
Dan-Dan Lin,
Geoffrey Moores,
Tommy Pensyl,
Danesh Sivakumar (external co-mentor:
Amey Bhangale),
Thomas Wrona,
Jiayi Alvin Wu,
and
Michael Xie (co-advised by
Dung Nguyen).
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:
- On novel pharmaceutical drug-design processes through bioinformatics,
machine learning, and computational toxicology, 2018-2019.
- On bio-engineering and computer
science for medical devices, 2013-2016.
- On information interfaces for reducing information overload, 2011-2014.
Undergraduate students:
George Li
(2020-2024),
Jeffery Liu (2025-present),
Jiayi Alvin Wu (2022-2025),
Zach Zhao (2020-2021),
and
Kelin Zhu (2025-present).
.
Undergraduate independent study: Michael Eleff (Spring 2015).
High-school students continuing through undergrad:
Naveen Durvasula (2015-2022; co-advised by
John Dickerson),
Xiaoran (Steven) Qu (2017-2022; co-advised by
Madhav Marathe
and
Anil Vullikanti),
and
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),
Anushka Gandhi (2021-2022; co-advised by
Achla Marathe and
Anil Vullikanti),
Tyler He (2025-present),
Levon Mkrtchyan (2006),
Arjun Subramanian (2023-present),
Shreya Vallimanalan (2020-2021; co-advised by
Anil Vullikanti),
and
Shawn Zhao (2019-2020; co-advised by
Brian Brubach).
Recent/Current Program Committees:
Area Chair,
ICML 2025;
PC Member,
SODA 2025;
Area Chair,
NeurIPS 2024;
PC Member,
SIGMETRICS 2023;
Area Chair, ICLR 2023;
PC Member,
SIAM ACDA 2023;
Area Chair,
NeurIPS 2022;
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 4204 (note the change from before), 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