All Stories

  1. Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2026)

    Article • ACM SIGMETRICS Performance Evaluation Review, September 2026, ACM (Association for Computing Machinery)

    Mark Squillante

  2. On the Convergence of Iterative Methods in Stochastic Computational Environments

    Article • ACM SIGMETRICS Performance Evaluation Review, September 2026, ACM (Association for Computing Machinery)

    Mark Squillante

  3. Optimization and Analysis of Resource Allocation in Quantum-Centric Supercomputing Environments

    Article • ACM SIGMETRICS Performance Evaluation Review, September 2026, ACM (Association for Computing Machinery)

    Mark Squillante

  4. When the receiver can reason, less information needs to be sent

    Article • Proceedings of the National Academy of Sciences, August 2026, Proceedings of the National Academy of Sciences

    Luis Lastras, Wojciech Szpankowski, Chai Wah Wu, Mark Squillante, Jonathan Lenchner

  5. On Mixed-Precision Iterative Methods and Analysis for Nearly Completely Decomposable Markov Processes

    Article • ACM Transactions on Modeling and Performance Evaluation of Computing Systems, August 2026, ACM (Association for Computing Machinery)

    Chai Wah Wu, Mark Squillante

  6. Advances in Analog Architectures and Randomized Algorithms: Computational and Energy Efficiencies

    Article • ACM Computing Surveys, July 2026, ACM (Association for Computing Machinery)

    Chai Wah Wu, Mark Squillante

  7. On Efficient Solutions of General Structured Markov Processes in Quantum Computational Environments

    Article • ACM SIGMETRICS Performance Evaluation Review, March 2026, ACM (Association for Computing Machinery)

    Mark Squillante

  8. On Mixed-Precision Iterative Methods and Analysis for Nearly Completely Decomposable Markov Processes

    Article • ACM SIGMETRICS Performance Evaluation Review, March 2026, ACM (Association for Computing Machinery)

    Mark Squillante

  9. Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2025)

    Article • ACM SIGMETRICS Performance Evaluation Review, August 2025, ACM (Association for Computing Machinery)

    Mark Squillante

  10. On Mixed-Precision Iterative Methods and Analysis for Nearly Completely Decomposable Markov Processes

    Article • ACM SIGMETRICS Performance Evaluation Review, August 2025, ACM (Association for Computing Machinery)

    Mark Squillante

  11. Stochastic Process Inference Without Trajectories: A Probabilistic Approach

    Article • ACM SIGMETRICS Performance Evaluation Review, August 2025, ACM (Association for Computing Machinery)

    Mark Squillante

  12. Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2024)

    Article • ACM SIGMETRICS Performance Evaluation Review, September 2024, ACM (Association for Computing Machinery)

    Mark Squillante

  13. On Quantum Algorithms for Efficient Solutions of General Classes of Structured Markov Processes

    Article • ACM SIGMETRICS Performance Evaluation Review, September 2024, ACM (Association for Computing Machinery)

    Mark Squillante

  14. Markov Decision Process Framework for Control-Based Reinforcement Learning

    Article • ACM SIGMETRICS Performance Evaluation Review, September 2023, ACM (Association for Computing Machinery)

    Mark Squillante

  15. Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2023)

    Article • ACM SIGMETRICS Performance Evaluation Review, September 2023, ACM (Association for Computing Machinery)

    Mark Squillante

  16. Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2022)

    Article • ACM SIGMETRICS Performance Evaluation Review, August 2022, ACM (Association for Computing Machinery)

    Mark Squillante

  17. Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2021)

    Article • ACM SIGMETRICS Performance Evaluation Review, January 2022, ACM (Association for Computing Machinery)

    Mark Squillante

  18. Unbiased Gradient Estimation for Robust Optimization

    Article • ACM SIGMETRICS Performance Evaluation Review, January 2022, ACM (Association for Computing Machinery)

    Soumyadip Ghosh, Mark Squillante

  19. Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2020)

    Article • ACM SIGMETRICS Performance Evaluation Review, November 2020, ACM (Association for Computing Machinery)

    Mark Squillante

  20. Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2019)

    Article • ACM SIGMETRICS Performance Evaluation Review, December 2019, ACM (Association for Computing Machinery)

    Mark Squillante

  21. Stochastic Optimization Models for Workforce Planning, Operations, and Risk Management

    Article • Service Science, March 2018, INFORMS

    Mark Squillante

  22. Optimal Resource Capacity Management for Stochastic Networks

    Article • Operations Research, December 2016, INFORMS

    Soumyadip Ghosh, Mark Squillante

  23. Asymptotic Optimality of Constant-Order Policies for Lost Sales Inventory Models with Large Lead Times

    Article • Mathematics of Operations Research, August 2016, INFORMS

    Mark Squillante

  24. Introduction to the Special Issue on the Eighth International Conference on Matrix-Analytic Methods in Stochastic Models

    Article • Stochastic Models, October 2014, Taylor & Francis

    Achyutha Krishnamoorthy, Mark Squillante

  25. OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains

    Article • INFORMS Journal on Applied Analytics, October 2011, INFORMS

    Mark Squillante