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Indranil Gupta

Indranil Gupta

D-Index & Metrics

Computer Science

D-Index
47
Citations
8276
World Ranking
6535
National Ranking
260

Research.com Recognitions

  • 2018 - ACM Distinguished Member

Overview

Indranil Gupta is affiliated with Dalhousie University in Canada and has contributed extensively to the field of computer science. Their research spans several subfields including computer networks and communications, artificial intelligence, computer vision and pattern recognition, information systems, and signal processing.

Their work addresses multiple main topics within computer science such as cloud computing and resource management, distributed systems and fault tolerance, IoT and edge/fog computing, privacy-preserving technologies in data, stochastic gradient optimization techniques, advanced database systems and queries, and data visualization and analytics.

Gupta's publication record includes contributions in various venues, with a notable number of papers in arXiv (Cornell University), where they have published 10 papers. Other frequent publication venues include the Proceedings of the VLDB Endowment and IEEE Transactions on Network and Service Management, each hosting two of their papers. They have also published in the Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and Bioprocess and Biosystems Engineering.

Their recent papers include:

  • Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo, 2020, arXiv (Cornell University)
  • A User-Centric Evaluation of Smart Home Resolution Approaches for Conflicts Between Routines, 2023, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • Banyan, 2022, Proceedings of the VLDB Endowment
  • ZenoPS: A Distributed Learning System Integrating Communication Efficiency and Security, 2022, Algorithms
  • Large-scale crystallization as an intermediate processing step in insulin downstream process: explored advantages and identified tool for process intensification, 2023, Bioprocess and Biosystems Engineering

Frequent collaborators with whom Gupta has coauthored multiple papers include Rui Yang, Cong Xie, Oluwasanmi Koyejo, Le Xu, and Dixin Tang.

In recognition of their contributions to the field, Indranil Gupta was awarded the ACM Distinguished Member status in 2018.

Best Publications

  • Cluster-head election using fuzzy logic for wireless sensor networks

    Indranil Gupta;D. Riordan;Srinivas Sampalli

  • Kelips: Building an efficient and stable P2P DHT through increased memory and background overhead

    Indranil Gupta;Kenneth P. Birman;Prakash Linga;Alan J. Demers

  • Asynchronous federated optimization

    Cong Xie;Oluwasanmi Koyejo;Indranil Gupta

  • Samza: stateful scalable stream processing at LinkedIn

    Shadi A. Noghabi;Kartik Paramasivam;Yi Pan;Navina Ramesh

  • On scalable and efficient distributed failure detectors

    Indranil Gupta;Tushar D. Chandra;Germán S. Goldszmidt

  • Smart Gossip: An Adaptive Gossip-based Broadcasting Service for Sensor Networks

    P. Kyasanur;R.R. Choudhury;I. Gupta

  • Scalable fault-tolerant aggregation in large process groups

    I. Gupta;R. Van Renesse;K.P. Birman

  • SWIM: scalable weakly-consistent infection-style process group membership protocol

    A. Das;I. Gupta;A. Motivala

  • Open Cirrus: A Global Cloud Computing Testbed

    Arutyun I Avetisyan;Roy Campbell;Indranil Gupta;Michael T Heath

  • Generalized Byzantine-tolerant SGD.

    Cong Xie;Oluwasanmi Koyejo;Indranil Gupta

  • AdapCode: Adaptive Network Coding for Code Updates in Wireless Sensor Networks

    I-Hong Hou;Yu-En Tsai;T.F. Abdelzaher;I. Gupta

  • Making cloud intermediate data fault-tolerant

    Steven Y. Ko;Imranul Hoque;Brian Cho;Indranil Gupta

  • Leveraging Social-Network Infrastructure to Improve Peer-to-Peer Overlay Performance: Results from Orkut

    Zahid Anwar;William Yurcik;Vivek Pandey;Asim Shankar

  • Decentralized Schemes for Size Estimation in Large and Dynamic Groups

    D. Kostoulas;D. Psaltoulis;Indranil Gupta;K. Birman

  • Zeno: Distributed stochastic gradient descent with suspicion-based fault-tolerance

    Cong Xie;Oluwasanmi Koyejo;Indranil Gupta

  • Open Cirrus TM cloud computing testbed: federated data centers for open source systems and services research

    Roy Campbell;Indranil Gupta;Michael Heath;Steven Y. Ko

  • Peer-to-Peer Discovery of Computational Resources for Grid Applications

    A. S. Cheema;M. Muhammad;I. Gupta

  • Efficient epidemic-style protocols for reliable and scalable multicast

    I. Gupta;A.M. Kermarrec;A.J. Ganesh

  • Measurement and modeling of a large-scale overlay for multimedia streaming

    Long Vu;Indranil Gupta;Jin Liang;Klara Nahrstedt

  • Exploring the Energy-Latency Trade-Off for Broadcasts in Energy-Saving Sensor Networks

    M.J. Miller;C. Sengul;Indranil Gupta

  • Fall of empires: Breaking byzantine-tolerant SGD by inner product manipulation

    Cong Xie;Oluwasanmi Koyejo;Indranil Gupta

Frequent Co-Authors

Klara Nahrstedt
Klara Nahrstedt University of Illinois at Urbana-Champaign
Roy H. Campbell
Roy H. Campbell University of Illinois at Urbana-Champaign
Kenneth P. Birman
Kenneth P. Birman Cornell University
José Meseguer
José Meseguer University of Illinois at Urbana-Champaign
Tarek Abdelzaher
Tarek Abdelzaher University of Illinois at Urbana-Champaign
Robbert van Renesse
Robbert van Renesse Cornell University
Dejan Milojicic
Dejan Milojicic Hewlett-Packard (United States)
Robin Kravets
Robin Kravets University of Illinois at Urbana-Champaign
Anne-Marie Kermarrec
Anne-Marie Kermarrec École Polytechnique Fédérale de Lausanne
P. Madhusudan
P. Madhusudan University of Illinois at Urbana-Champaign

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