You can also find my articles on my Google Scholar profile.
W. Wang, M. Krishnamoorthy, J. Muller, S. Mrenna, H. Schulz, X. Ju, S. Leyffer, and Z. Marshall, BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators. In the SciPost Physics. January 2022.
A. Austin, M. Krishnamoorthy, S. Leyffer, S. Mrenna, J. Muller, and H. Schulz, Practical algorithms for multivariate rational approximation. In the Computer Physics Communications, October 2020.
A. Brodsky, M. O. Nachawati, M. Krishnamoorthy, W. Z. Bernstein, and D. A. Menasce, Factory optima: a web-based system for composition and analysis of manufacturing service networks based on a reusable model repository. In the International Journal of Computer Integrated Manufacturing, February 2019.
M. Krishnamoorthy, A. Brodsky, and D. Menase, Stochastic Decision Optimization based on Deterministic Approximations of Processes described as Closed-form Arithmetic Simulation. In the Journal of Decision Systems. May 2018.
A. Brodsky, G. Shao, M. Krishnamoorthy, A. Narayanan, D Menasce, and R. Ak, Analysis and Optimization in Smart Manufacturing based on a Reusable Knowledge Base for Process Performance Models. In the International Journal of Advanced Manufacturing Technology. April 2016.
D. Menasce, M. Krishnamoorthy, and A. Brodsky, Autonomic smart manufacturing. In the Journal of Decision Systems, Special Issue on Integrated Decision Support Systems, June 2015.
J. Brodin, M. Krishnamoorthy, G. Athreya, W. Fischer, P. Hraber, C. Gleasner, L. Green, B. Korber, and T. Leitner, A multiple-alignment based primer design algorithm for genetically highly variable DNA targets. In BMC bioinformatics Journal, August 2013.
M. Krishnamoorthy, P. Patel, M. Dimitrijevic, J. Dietrich, M. Green, and C. Macken, Tree pruner: An efficient tool for selecting data from a biased genetic database. In BMC bioinformatics Journal, January 2011.
M. Krishnamoorthy, H. Schulz, X. Ju, W. Wang, S. Leyffer, Z. Marshall, S. Mrenna, J. Muller, and J. B.Kowalkowski, Apprentice for Event Generator Tuning. In 25th International Conference on Computing in High-Energy and Nuclear Physics. August 2021.
M. Krishnamoorthy, A. Brodsky, and D. Menasce, Stochastic Optimization for Steady State Production Processes based on Deterministic Approximations. In the International Conference on Operations Research and Enterprise Systems 2021, February 2021.
M. Krishnamoorthy, A. Brodsky, and D. Menasce, Stochastic Decision Optimization based on Deterministic Approximations of Processes described as Closed-form Arithmetic Simulation. In Proceedings of the IFIP WG 8.3 on Decision Support Systems, June 2018. Best Paper Award.
A. Brodsky, M. Krishnamoorthy, M. O. Nachawati, and W.Z. Bernstein, and D Menasce, Manufacturing and Contract Service Networks: Composition, Optimization and Tradeoff Analysis based on a Reusable Repository of Performance Models. In Proceedings of the 2017 IEEE International Conference on Big Data, Boston, MA. December 2017.
A. Brodsky, M. Krishnamoorthy, W. Z. Bernstein, and M. O. Nachawati, A System and Architecture for Reusable Abstractions of Manufacturing Processes. In Proceedings of the 2016 IEEE International Conference on Big Data, Washington DC. December 2016.
M. Krishnamoorthy, A. Brodsky, and D. Menasce, Modular Modeling and Optimization of Temporal Manufacturing Processes with Inventories. In Proceedings of the 2016 Hawaii International Conference on System Sciences, Kauai, HI. January 2016.
A. Brodsky, G. Shao, M. Krishnamoorthy, A. Narayanan, D Menasce, and R. Ak, Analysis and optimization in smart manufacturing based on a reusable knowledge base for process performance models. In Proceedings of the 2015 IEEE International Conference on Big Data, Santa Clara, CA. November 2015.
M. Krishnamoorthy, A. Brodsky, and D. Menasce, Optimizing Stochastic Temporal Manufacturing Processes with Inventories: An Efficient Heuristic Algorithm Based on Deterministic Approximations. In Proceedings of 2015 INFORMS Computing Soc. Conf., Richmond, VA. January 2015
M. Krishnamoorthy, A. Brodsky, and D. A. Menasce, Temporal manufacturing query language (tMQL) for domain specific composition, what-if analysis, and optimization of manufacturing processes with inventories. Technical Report Department of Computer Science, George Mason University, 2014. Also presented at the 2015 INFORMS Computing Soc. Conf. workshop, Richmond, VA. January 2015.
A. Brodsky, M. Krishnamoorthy, D. Menasce, G. Shao, and S.Rachuri, Toward Smart Manufacturing Using Decision Analytics. In Proceedings of the 2014 IEEE International Conference on Big Data, Washington DC. October 2014."