World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
6224
World Ranking
7691
National Ranking
2114

Overview

Ishai Menache is affiliated with Microsoft in the United States. Their body of research primarily falls within the discipline of Computer Science, spanning 24 publications that reflect expertise in several key subfields and topics.

The scientist's main subfields of study include:

  • Information Systems
  • Computer Networks and Communications
  • Industrial and Manufacturing Engineering
  • Artificial Intelligence
  • Management Science and Operations Research

Menache's work covers a range of topics, focusing prominently on areas such as:

  • Cloud Computing and Resource Management
  • Blockchain Technology Applications and Security
  • Distributed and Parallel Computing Systems
  • Optimization and Packing Problems
  • Optimization and Search Problems
  • Scheduling and Optimization Algorithms
  • Advanced Queuing Theory Analysis

The researcher has contributed to multiple publication venues, with an emphasis on:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Proceedings of the VLDB Endowment
  • ACM SIGMETRICS Performance Evaluation Review
  • Operations Research

Recent scholarly works authored or coauthored by Menache include:

  • "Large Language Models for Supply Chain Optimization," 2023, arXiv (Cornell University)
  • "Flexible Resource Allocation for Relational Database-as-a-Service," 2023, Proceedings of the VLDB Endowment
  • "Online Virtual Machine Allocation with Lifetime and Load Predictions," 2021, ACM SIGMETRICS Performance Evaluation Review
  • "Dynamic Resource Allocation in the Cloud with Near-Optimal Efficiency," 2021, Operations Research
  • "Large Language Models for Supply Chain Decisions," 2025, SSRN Electronic Journal

Collaborative research is part of Menache's profile, with frequent coauthors including:

  • Konstantina Mellou
  • David Simchi-Levi
  • Jeevan Pathuri
  • Beibin Li
  • Niv Buchbinder

Best Publications

  • Resource Management with Deep Reinforcement Learning

    Hongzi Mao;Mohammad Alizadeh;Ishai Menache;Srikanth Kandula

  • Q-Cut - Dynamic Discovery of Sub-goals in Reinforcement Learning

    Ishai Menache;Shie Mannor;Nahum Shimkin

  • Dynamic abstraction in reinforcement learning via clustering

    Shie Mannor;Ishai Menache;Amit Hoze;Uri Klein

  • Morpheus: towards automated SLOs for enterprise clusters

    Sangeetha Abdu Jyothi;Carlo Curino;Ishai Menache;Shravan Matthur Narayanamurthy

  • Basis Function Adaptation in Temporal Difference Reinforcement Learning

    Ishai Menache;Shie Mannor;Nahum Shimkin

  • Surviving failures in bandwidth-constrained datacenters

    Peter Bodík;Ishai Menache;Mosharaf Chowdhury;Pradeepkumar Mani

  • Network-Aware Scheduling for Data-Parallel Jobs: Plan When You Can

    Virajith Jalaparti;Peter Bodik;Ishai Menache;Sriram Rao

  • Resource management for cloud computing platforms

    Navendu Jain;Ishai Menache

  • Calendaring for wide area networks

    Srikanth Kandula;Ishai Menache;Roy Schwartz;Spandana Raj Babbula

  • Speeding up distributed request-response workflows

    Virajith Jalaparti;Peter Bodik;Srikanth Kandula;Ishai Menache

  • Network Games: Theory, Models, and Dynamics

    Ishai Menache;Asuman Ozdaglar

  • Dynamic Pricing and Traffic Engineering for Timely Inter-Datacenter Transfers

    Virajith Jalaparti;Ivan Bliznets;Srikanth Kandula;Brendan Lucier

  • Online job-migration for reducing the electricity bill in the cloud

    Niv Buchbinder;Navendu Jain;Ishai Menache

  • Near-Optimal Scheduling Mechanisms for Deadline-Sensitive Jobs in Large Computing Clusters

    Navendu Jain;Ishai Menache;Joseph (Seffi) Naor;Jonathan Yaniv

  • A Truthful Mechanism for Value-Based Scheduling in Cloud Computing

    Navendu Jain;Ishai Menache;Joseph (Seffi) Naor;Jonathan Yaniv

  • Near-Optimal Power Control in Wireless Networks: A Potential Game Approach

    Utku Ozan Candogan;Ishai Menache;Asuman Ozdaglar;Pablo A. Parrilo

  • Co-Location-Resistant Clouds

    Yossi Azar;Seny Kamara;Ishai Menache;Mariana Raykova

  • On-demand, Spot, or Both: Dynamic Resource Allocation for Executing Batch Jobs in the Cloud.

    Ishai Menache;Ohad Shamir;Navendu Jain

  • Non-Cooperative Spectrum Access — The Dedicated vs. Free Spectrum Choice

    K. Jagannathan;I. Menache;E. Modiano;G. Zussman

  • TEAVAR: striking the right utilization-availability balance in WAN traffic engineering

    Jeremy Bogle;Nikhil Bhatia;Manya Ghobadi;Ishai Menache

  • Online Job-Migration for Reducing the Electricity Bill

    Navendu Jain;Niv Buchbinder;Ishai Menache

Frequent Co-Authors

Joseph (Seffi) Naor
Joseph (Seffi) Naor Technion – Israel Institute of Technology
Navendu Jain
Navendu Jain Microsoft (United States)
Srikanth Kandula
Srikanth Kandula Microsoft (United States)
Niv Buchbinder
Niv Buchbinder Tel Aviv University
Shie Mannor
Shie Mannor Technion – Israel Institute of Technology
Eitan Altman
Eitan Altman French Institute for Research in Computer Science and Automation - INRIA
Yossi Azar
Yossi Azar Tel Aviv University

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