World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
5448
World Ranking
11675
National Ranking
4786

Research.com Recognitions

  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Leana Golubchik is affiliated with the University of Southern California in the United States. Their research primarily spans the field of Computer Science, with a focus on subfields such as Artificial Intelligence, Information Systems, Management Science and Operations Research, Computer Networks and Communications, and Electrical and Electronic Engineering.

The scientist's work encompasses several main research topics, including:

  • Privacy-Preserving Technologies in Data
  • Advanced Bandit Algorithms Research
  • Age of Information Optimization
  • Adversarial Robustness in Machine Learning
  • Advanced Neural Network Applications
  • Stochastic Gradient Optimization Techniques
  • Auction Theory and Applications

Leana Golubchik has published extensively in venues such as:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Networking
  • ACM Transactions on Management Information Systems
  • ACM Transactions on Intelligent Systems and Technology
  • IEEE Transactions on Biomedical Engineering

Selected recent papers include:

  • "Backdoor Attacks on Federated Meta-Learning" (2020), arXiv (Cornell University)
  • "When Are Cyber Blackouts in Modern Service Networks Likely?" (2020), ACM Transactions on Management Information Systems
  • "Defending against Poisoning Backdoor Attacks on Federated Meta-learning" (2022), ACM Transactions on Intelligent Systems and Technology
  • "When Lyapunov Drift Based Queue Scheduling Meets Adversarial Bandit Learning" (2024), IEEE/ACM Transactions on Networking
  • "Predicting Throughput of Distributed Stochastic Gradient Descent" (2022), IEEE Transactions on Parallel and Distributed Systems

Frequent collaborators in their research include:

  • Marco Paolieri
  • Ranjan Pal
  • Zhuojin Li
  • Chien-Lun Chen
  • Longbo Huang

Leana Golubchik was named a Fellow of the American Association for the Advancement of Science (AAAS) in 2020.

Best Publications

  • Sensor faults: Detection methods and prevalence in real-world datasets

    Abhishek B. Sharma;Leana Golubchik;Ramesh Govindan

  • Adaptive piggybacking: a novel technique for data sharing in video-on-demand storage servers

    Leana Golubchik;John C. S. Lui;Richard R. Muntz

  • Data centers power reduction: A two time scale approach for delay tolerant workloads

    Yuan Yao;Longbo Huang;Abhihshek Sharma;Leana Golubchik

  • VideoEdge: Processing Camera Streams using Hierarchical Clusters

    Chien-Chun Hung;Ganesh Ananthanarayanan;Peter Bodik;Leana Golubchik

  • Early prediction of software component reliability

    Leslie Cheung;Roshanak Roshandel;Nenad Medvidovic;Leana Golubchik

  • Reducing I/O demand in video-on-demand storage servers

    Leana Golubchik;John C. S. Lui;Richard Muntz

  • Fault tolerant design of multimedia servers

    Steven Berson;Leana Golubchik;Richard R. Muntz

  • Scheduling jobs across geo-distributed datacenters

    Chien-Chun Hung;Leana Golubchik;Minlan Yu

  • Power Cost Reduction in Distributed Data Centers: A Two-Time-Scale Approach for Delay Tolerant Workloads

    Yuan Yao;Longbo Huang;Abhishek B. Sharma;Leana Golubchik

  • Will cyber-insurance improve network security? A market analysis

    Ranjan Pal;Leana Golubchik;Konstantinos Psounis;Pan Hui

  • Multi-path continuous media streaming: what are the benefits?

    L. Golubchik;J. C. S. Lui;T. F. Tung;A. L. H. Chow

  • Online anomaly detection for sensor systems: A simple and efficient approach

    Yuan Yao;Abhishek Sharma;Leana Golubchik;Ramesh Govindan

  • On the Prevalence of Sensor Faults in Real-World Deployments

    A. Sharma;L. Golubchik;R. Govindan

  • Merging video streams in a multimedia storage server: complexity and heuristics

    Siu-Wah Lau;John C. S. Lui;Leana Golubchik

  • Approximation algorithms for data placement on parallel disks

    Leana Golubchik;Sanjeev Khanna;Samir Khuller;Ramakrishna Thurimella

  • Improving QoS in BitTorrent-like VoD Systems

    Yan Yang;Alix L. H. Chow;Leana Golubchik;Danielle Bragg

  • A Bayesian model for predicting reliability of software systems at the architectural level

    Roshanak Roshandel;Nenad Medvidovic;Leana Golubchik

  • Striping doesn't scale: how to achieve scalability for continuous media servers with replication

    Cheng-Fu Chou;L. Golubchik;J.C.S. Lui

  • Threshold-Based Dynamic Replication in Large-ScaleVideo-on-Demand Systems

    Peter W. K. Lie;John C. S. Lui;Leana Golubchik

  • Analysis of striping techniques in robotic storage libraries

    L. Golubchik;R.R. Muntz;R.W. Watson

  • A Comment on “Power Cost Reduction in Distributed Data Centers: A Two Time Scale Approach for Delay Tolerant Workloads”

    Weiwei Fang;Yuan Yao;Longbo Huang;Abhishek B. Sharma

Frequent Co-Authors

John C. S. Lui
John C. S. Lui Chinese University of Hong Kong
Samir Khuller
Samir Khuller Northwestern University
Ramesh Govindan
Ramesh Govindan University of Southern California
Nenad Medvidovic
Nenad Medvidovic University of Southern California
Konstantinos Psounis
Konstantinos Psounis University of Southern California
Richard R. Muntz
Richard R. Muntz University of California, Los Angeles
Gaurav S. Sukhatme
Gaurav S. Sukhatme University of Southern California
Pan Hui
Pan Hui Hong Kong University of Science and Technology
Michael J. Neely
Michael J. Neely University of Southern California
Hanan Samet
Hanan Samet University of Maryland, College Park

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