About Us

The Team

Mariam Kiran

Anastasiia Butko

Ren Cooper

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Publications and Talks

2021

  • Mariam Kiran, Using deep reinforcement learning for Self-driving networks, MODSIM 2021.

  • Bashir Mohammed, Mariam Kiran, Bjoern Enders, "Net-Preflight Check: Using File Transfers to MeasureNetwork Performance before Large Data Transfers", The Sixteenth International Conference on Systems and Networks Communications, Barcelona, Spain ICSNC 2021.

  • Bashir Mohammed, Mariam Kiran, Bjoern Enders, "NetGraf: An End-to-End Learning NetworkMonitoring Service" SC21: IEEE/ACM International Conference for High-Performance Computing, Networking, Storage and Analysis, 8th Annual International Workshop on Innovating the Network for Data-Intensive Science (INDIS 2021)

  • Bashir Mohammed, Mariam Kiran, Nandini Krishnaswamy, Keshang Wu "Predicting WAN Traffic Volumes using Fourier and Multivariate SARIMA Approach" Special Issue on Systems and Network Telemetry and Analytics International. Journal of Big Data Intelligence, InderScience Publishers 2021. url: https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijbdi

  • George Papadimitriou, Cong Wang, Karan Vahi, Rafael Ferreira da Silva, Anirban Mandal, Zhengchun Liu, Rajiv Mayani, Mats Rynge, Mariam Kiran, Vickie E Lynch, Rajkumar Kettimuthu, Ewa Deelman, Jeffrey S Vetter, Ian Foster, End-to-end online performance data capture and analysis for scientific workflows, Future Generation Computer Systems 117, 387-400, 2021

  • H Tu, G Papadimitriou, M Kiran, C Wang, A Mandal, E Deelman, Mining Scientific Workflows for Anomalous Data Transfers, arXiv preprint arXiv:2103.12221

2020

  • Scott Campbell, M.Kiran, F. Bannatwala, Unsupervised Anomaly Detection in Daily WAN Traffic Patterns, Smoky Mountains Computational Sciences and Engineering Conference, (SMC2020)

  • Divneet Kaur, B. Mohammed, M.Kiran, Netgraf : A collaborative Network Monitoring Stack for Network Experimental Testbeds, SC20

  • Shan Sun, M.Kiran, Multi-agent meta reinforcement learning for packet routing in dynamic network environments, SC20

  • T. Mallick, M. Kiran, B. Mohammed, and P. Balaprakash, "Dynamic Graph Neural Network for Traffic Forecasting in Wide Area Networks," in 2020 IEEE International Conference on Big Data (Big Data), Atlanta, GA, USA, 2020 pp. 1-10, doi: 10.1109/BigData50022.2020.9512748, url: https://doi.ieeecomputersociety.org/10.110 /BigData50022.2020.9512748

  • Nandini Krishnaswamy, Mariam Kiran, Kunal Singh, Bashir Mohammed, Data-driven Learning to Predict WAN Network Traffic, ACM 3rd International Workshop on System and Network Telemetry and Analytics (SNTA'20)

  • Hocine Mahtout, Mariam Kiran, Anu Mercian, Bashir Mohammed, Using Machine Learning for Intent-based Provisioning in High-Speed Science Networks ACM 3rd International Workshop on System and Network Telemetry and Analytics (SNTA'20)

  • Participated in 5G Enabled Energy Innovation: Advanced Wireless Networks for Science, Workshop Report, March, DOE workshop report 2020

  • M Kiran, C Wang, G Papadimitriou, A Mandal, E Deelman, Detecting anomalous packets in network transfers: investigations using PCA, autoencoder and isolation forest in TCP, Machine Learning, 1-17

  • BM Ozyildirim, M Kiran, Do optimization methods in deep learning applications matter?, arXiv preprint arXiv:2002.12642

  • M Kiran, A Mandal, G Papadimitriu, C Wang, E Deelman, Debugging Bad Performance in Huge Infrastructure: Using ML and AI (White Paper)

  • AK Prakash, S Touzani, M Kiran, S Agarwal, M Pritoni, J Granderson, Deep Reinforcement Learning in Buildings: Implicit Assumptions and their Impact, Workshop on Reinforcement Learning management of buildings and cities (RLEM) 2020

  • Bashir Mohammed, Mariam Kiran, Dan Wang, Qiang Du, Russell Wilcox, Deep Reinforcement Learning-Based Control For Two-Dimensional Coherent Combining, Laser Congress 2020

  • Dan Wang, Qiang Du, Tong Zhou, Bashir Mohammed, Mariam Kiran, Derun Li, Russell Wilcox, Artificial Neural Networks Applied to Stabilization of 81-beam Coherent Combining, Laser Congress 2020

  • M Metcalf, A Butko, M Kiran, Towards AI-enabled Control for Enhancing Quantum Transduction, https://arxiv.org/abs/2009.07876, 2020

  • P Dobson, D Dwivedi, D Millstein, N Krishnaswamy, J Garcia, M Kiran, Analysis of curtailment at The Geysers geothermal Field, California, Geothermics 87, 101871

  • M Kiran, S Khan, Machine learning for safety–critical applications in engineering, Journal of MACHINE LEARNING, 2020

2019

  • G Papadimitriou, M Kiran, C Wang, A Mandal, E Deelman, Training Classifiers to Identify TCP Signatures in Scientific Workflows, International Workshop on Innovating the Network for Data Intensive Science (INDIS), SC19

  • M Kiran, B Mohammed, N Krishnaswamy, DeepRoute: Herding Elephant and Mice Flows with Reinforcement Learning, 2nd IFIP International Conference on Machine Learning for Networking (MLN'2019)

  • B Mohammed, M Kiran, N Krishnaswamy, DeepRoute on Chameleon: Experimenting with Large-scale Reinforcement Learning and SDN on Chameleon Testbed, 2019 IEEE 27th International Conference on Network Protocols (ICNP), 1-2

  • B Mohammed, N Krishnaswamy, M Kiran, Multivariate Time-Series Prediction for Traffic in Large WAN Topology, 2019 ACM/IEEE Symposium on Architectures for Networking and Communications

  • M Kiran, A Chhabra, Understanding flows in high-speed scientific networks: A Netflow data study, Future Generation Computer Systems 94, 72-79

  • F Alali, N Hanford, E Pouyoul, R Kettimuthu, M Kiran, B Mack-Crane, Calibers: A bandwidth calendaring paradigm for science workflows, Future Generation Computer Systems 89, 736-745

2018

  • M Kiran, E Pouyoul, A Mercian, B Tierney, C Guok, I Monga, Enabling intent to configure scientific networks for high performance demands, Future Generation Computer Systems 79, 205-214, and INDIS SC17

  • M Gribaudo, M Iacono, M Kiran, A performance modeling framework for lambda architecture based applications, Future Generation Computer Systems 86, 1032-1041

2017

  • A Mercian, M Kiran, E Pouyoul, B Tierney, I Monga, INDIRA:‘Application Intent’network assistant to configure SDN-based high performance scientific networks, 2017 Optical Fiber Communications Conference and Exhibition (OFC), 1-3