2026 Suresh Venkatasubramanian: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	51	5220	5075	2399	2317	165	16535

Overview

Suresh Venkatasubramanian is affiliated with Brown University in the United States, contributing to the field of computer science with a focus on artificial intelligence and related subfields. Their research includes a significant number of publications centered around topics such as ethics and social impacts of AI, explainable artificial intelligence, and privacy-preserving technologies in data.

Their work spans multiple subfields, including artificial intelligence, computer networks and communications, safety research, management science and operations research, and statistical and nonlinear physics.

Recent publications by Suresh Venkatasubramanian include the following papers:

"The (Im)possibility of fairness," 2021, Communications of the ACM
"Problems with Shapley-value-based explanations as feature importance measures," 2020, arXiv (Cornell University)
"It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks," 2021, arXiv (Cornell University)
"Models for understanding and quantifying feedback in societal systems," 2022, 2022 ACM Conference on Fairness, Accountability, and Transparency

Their research has been published predominantly in venues such as:

arXiv (Cornell University)
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
Zenodo (CERN European Organization for Nuclear Research)
Communications of the ACM
2022 ACM Conference on Fairness, Accountability, and Transparency

Frequent collaborators in Suresh Venkatasubramanian's research include:

Sorelle A. Friedler
Carlos Scheidegger
Rui-Jie Yew
Pegah Nokhiz
Neal Patwari

The main topics covered in their work are:

Ethics and Social Impacts of AI
Explainable Artificial Intelligence (XAI)
Privacy-Preserving Technologies in Data
Bayesian Modeling and Causal Inference
Auction Theory and Applications
Security in Wireless Sensor Networks
Energy Efficient Wireless Sensor Networks

Suresh Venkatasubramanian's research integrates interdisciplinary approaches, emphasizing algorithmic fairness, transparency, and privacy in computational systems. Their extensive publication record reflects an ongoing engagement with contemporary challenges in artificial intelligence and its societal implications.

Best Publications

t-Closeness: Privacy Beyond k-Anonymity and l-Diversity

Ninghui Li;Tiancheng Li;S. Venkatasubramanian

4554
Citations
Certifying and Removing Disparate Impact

Michael Feldman;Sorelle A. Friedler;John Moeller;Carlos Scheidegger

1899
Citations
Fairness and Abstraction in Sociotechnical Systems

Andrew D. Selbst;Danah Boyd;Sorelle A. Friedler;Suresh Venkatasubramanian

1155
Citations
A comparative study of fairness-enhancing interventions in machine learning

Sorelle A. Friedler;Carlos Scheidegger;Suresh Venkatasubramanian;Sonam Choudhary

619
Citations
On the (im)possibility of fairness

Sorelle A. Friedler;Carlos Scheidegger;Suresh Venkatasubramanian

400
Citations
Proximity Search in Databases

Roy Goldman;Narayanan Shivakumar;Suresh Venkatasubramanian;Hector Garcia-Molina

345
Citations
Auditing black-box models for indirect influence

Philip Adler;Casey Falk;Sorelle A. Friedler;Tionney Nix

342
Citations
An Information-Theoretic Approach to Detecting Changes in Multi-Dimensional Data Streams

Tamraparni Dasu;Shankar Krishnan;Suresh Venkatasubramanian;Ke Yi

307
Citations
The connectivity server: fast access to linkage information on the Web

Krishna Bharat;Andrei Broder;Monika Henzinger;Puneet Kumar

302
Citations
Closeness: A New Privacy Measure for Data Publishing

Ninghui Li;Tiancheng Li;Suresh Venkatasubramanian

288
Citations
Runaway Feedback Loops in Predictive Policing

Danielle Ensign;Sorelle A. Friedler;Scott Neville;Carlos Eduardo Scheidegger

279
Citations
The geometric median on Riemannian manifolds with application to robust atlas estimation

P. Thomas Fletcher;Suresh Venkatasubramanian;Sarang C. Joshi

275
Citations
Online Learning of Multiple Tasks and Their Relationships

Avishek Saha;Piyush Rai;Hal Daumé;Suresh Venkatasubramanian

260
Citations
Curve Matching, Time Warping, and Light Fields: New Algorithms for Computing Similarity between Curves

Alon Efrat;Quanfu Fan;Suresh Venkatasubramanian

231
Citations
The (Im)possibility of fairness: different value systems require different mechanisms for fair decision making

Sorelle A. Friedler;Carlos Scheidegger;Suresh Venkatasubramanian

216
Citations
Multiple Target Tracking with RF Sensor Networks

Maurizio Bocca;Ossi Kaltiokallio;Neal Patwari;Suresh Venkatasubramanian

198
Citations
On minimizing budget and time in influence propagation over social networks

Amit Goyal;Francesco Bonchi;Laks V. S. Lakshmanan;Suresh Venkatasubramanian

193
Citations
RAPID: randomized pharmacophore identification for drug design

P. W. Finn;L. E. Kavraki;J.-C. Latombe;R. Motwani

188
Citations
Streaming and sublinear approximation of entropy and information distances

Sudipto Guha;Andrew McGregor;Suresh Venkatasubramanian

173
Citations
Problems with Shapley-value-based explanations as feature importance measures

I. Elizabeth Kumar;Suresh Venkatasubramanian;Carlos Scheidegger;Sorelle Friedler

152
Citations
Proceedings of the 2015 SIAM International Conference on Data Mining

Suresh Venkatasubramanian;Jieping Ye

109
Citations

Frequent Co-Authors

Shankar Krishnan Google

Hal Daumé University of Maryland, College Park

Divesh Srivastava AT&T (United States)

Piotr Indyk MIT

Andrew McGregor University of Massachusetts Amherst

Rajeev Motwani Stanford University

Alon Efrat University of Arizona

Neal Patwari Washington University in St. Louis

Jean-Claude Latombe Stanford University

Lydia E. Kavraki Rice University

External Links

Wikipedia of Suresh Venkatasubramanian Personal website of Suresh Venkatasubramanian Google Scholar page

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