Skip to navigation Skip to content
Careers | Phone Book | A - Z Index
Usable Data Systems Group

Bashir Mohammed

Bashir Pic
Bashir Mohammed
Computational Systems Engineer
Scientific Data Division

Bashir is a computational systems engineer in the IDF group.

His research revolves around networking, systems control, Quantum Networks and scientific data management in HPC and distributed systems. He is currently part of the Quantum Application Network Testbed for Novel Entanglement Technology (QUANT-NET) project, which involves building a physical quantum network testbed based on entanglement across three distributed node linking Berkeley Lab and UC Berkeley.  He is working on the real-time quantum network control plane design and agent implementation.


Bashir is  part of Berkeley Lab's Cybersecurity R&D for Science and energy, where he is developing Reinforcement learning and control systems solutions for the self-driving synthetic biology labs project, which focuses on the ML processes used by Automated Recommendation Tool (ART) in Joint BioEnergy Institute(JBEI).


He is also invloved  in the CRD-NERSC supporting workflows project, which focuses on intelligent scientific workflow data management, real-time stream processing, and data provenance.


Bashir started at LBNL in the Scientific Data Management Group as a postdoctoral scholar on the "Deep and Autonomic High-Performance Networks (DAPHNE) project under the supervision of Mariam Kiran of ESnet and John Wu. His work focused on developing Machine Learning algorithms to optimally control distributed network resources, improve high-speed big data transfers and control high-speed networks that minimize network downtime and avoid network traffic congestion for important Exacscale scientific workflows.

He received his Ph.D. in Computer Science from the University of Bradford UK, where he was part of the Network and Performance Engineering(NetPEn) Research group. He has a Bachelor's degree in Electrical and Computer Engineering and a Master's degree in Control Systems Engineering from the University of Sheffield UK. He was an intern with Rolls-Royce University Technology Center in Sheffield, where he developed a control and optimization algorithm for the modeling of gas turbine engines.

» Visit Bashir Mohammed's personal web page.

Journal Articles

Qiang Du, Dan Wang, Tong Zhou, Antonio Gilardi, Mariam Kiran, Bashir Mohammed, Derun Li, and Russell Wilcox, "Experimental beam combining stabilization using machine learning trained while phases drift", Advanced Solid State Lasers 2022, © 2022 Optica Publishing Group, June 1, 2022, Vol. 30,:pp. 12639-, doi:

Shen Sheng, Mariam Kiran, Bashir Mohammed, "DynamicDeepFlow: An Approach for Identifying Changes in Network Traffic Flow Using Unsupervised Clustering", (BEST PAPER) 4th International Conference on Machine Learning for Networking (MLN'2021), December 6, 2021,

Bashir Mohammed, Mariam Kiran, Bjoern Enders, "NetGraf: An End-to-End Learning Network Monitoring Service", 2021 IEEE Workshop on Innovating the Network for Data-Intensive Science (INDIS), November 15, 2021, doi: 10.1109/INDIS54524.2021.00007

B Mohammed, M Kiran; N Krishnaswamy; Keshang, Wu, "Predicting WAN Traffic Volumes using Fourier and Multivariate SARIMA Approach", International Journal of Big Data Intelligence, November 3, 2021, doi: 10.1504/IJBDI.2021.118742

A Sangodoyin, B Mohammed, lU Awan, "Data driven Machine Learning approach to detect DDoS attack in Software Defined Network", Journal of Concurrency and Computation: Practice and Experience, January 1, 2020,

M Kiran, B Mohammed and N. Krishnaswamy, "DeepRoute: Herding Elephant and Mice Flows with Reinforcement Learning", 2nd IFIP International Conference on Machine Learning for Networking (MLN'2019), December 2, 2019, doi: 10.1007/978-3-030-45778-5_20

B Mohammed, IU Awan, H Ugail, and Y Mohammad., "Failure Prediction using Machine Learning in a Virtualized HPC System and Application", Cluster Computing: The Journal of Networks, Software Tools and Applications, June 3, 2019, 471–485, doi: 10.1007/s10586-019-02917-1

B Mohammed, B Modu, KM Maiyama, H Ugail, I Awan, M Kiran, "Failure Analysis Modelling in an Infrastructure as a Service (Iaas) Environment", Electronic Notes in Theoretical Computer Science, 2018, 340:41--54, doi: 10.1016/j.entcs.2018.09.004

B Mohammed, M Kiran, KM Maiyama, MM Kamala, IU Awan, "Failover strategy for fault tolerance in cloud computing environment", Journal of Software - Practice and Experience, 2017, 47:1243--1274, doi:

B Mohammed, M Kiran, I-U Awan, KM Maiyama, "An Integrated Virtualized Strategy for Fault Tolerance in Cloud Computing Environment", 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), 2016, 542--549, doi: 10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0094

Conference Papers

M Kiran, B Mohammed, Q Du, D Wang, S Shen, R Wilcox, "Controlling Laser Beam Combining via an Active Reinforcement Learning Algorithm", Advanced Solid State Lasers 2021, Washington, DC United States, October 4, 2021,

Divneet Kaur, Bashir Mohammed, Mariam Kiran, "NetGraf: A Collaborative Network Monitoring Stack for Network Experimental Testbeds", December 1, 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", Advanced Solid State Lasers, Optical Society of America, December 1, 2020,

Bashir Mohammed, Mariam Kiran, Dan Wang, Qiang Du, Russell Wilcox, "Deep Reinforcement Learning based Control for two-dimensional Coherent Combining", Laser Applications Conference, pp. JTu5A-7. Optical Society of America, 2020., OSA Publishing, December 1, 2020,

N Krishnaswamy; M Kiran; B Mohammed; Singh Kunal, "Data-driven Learning to Predict WAN Network Traffic.", SNTA '20: Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, November 3, 2020, 11-18, doi: 10.1145/3391812.3396268

M Hocine, M Kiran, A Mercian, and B Mohammed, "Using Machine Learning for Intent-based provisioning in High-Speed Science Networks.", SNTA '20: Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, November 2, 2020, 27-30, doi: 10.1145/3391812.3396269

T Mallick, M Kiran, B Mohammed, Prasanna Balaprakash, "Dynamic Graph Neural Network for Traffic Forecasting in Wide Area Networks.", Machine Learning Big Data 2020, IEEE, November 2, 2020, 1-10, doi: 10.1109/BigData50022.2020.9512748

S Abimbola, B Mohammed, M Sibusiso, IU Awan, and Jules Pagna Disso, "A Framework for Distributed Denial of Service Attack Detection and Reactive Countermeasure in Software Defined Network", 2019 7th IEEE International Conference on Future Internet of Things and Cloud (FiCloud), January 30, 2020, doi: 10.1109/FiCloud.2019.00019

B Mohammed, M Kiran, N Krishnaswamy, "DeepRoute on Chameleon: Experimenting with Large-scale Reinforcement Learning and SDN on Chameleon Testbed", IEEE 27th International Conference on Network Protocols (ICNP), IEEE, November 14, 2019, 1-2, doi: 10.1109/ICNP.2019.8888090

B Mohammed, N Krishnaswamy, M Kiran, "Multivariate Time-Series Prediction for Traffic in Large WAN Topology", ACM/IEEE Symposium on Architectures for Networking and Communications, August 1, 2019, doi: 10.1109/ANCS.2019.8901870

KM Maiyama, D Kouvatsos, B Mohammed, M Kiran, MA Kamala, "Performance modelling and analysis of an OpenStack IaaS cloud computing platform", Proceedings - 2017 IEEE 5th International Conference on Future Internet of Things and Cloud, FiCloud 2017, 2017, 2017-Jan:198--205, doi: 10.1109/FiCloud.2017.54

B Mohammed, M Kiran, IU Awan, KM Maiyama, "Optimising fault tolerance in real-time cloud computing IaaS environment", Proceedings - 2016 IEEE 4th International Conference on Future Internet of Things and Cloud, FiCloud 2016, 2016, 363--370, doi: 10.1109/FiCloud.2016.58

B Mohammed, M Kiran, "Analysis of Cloud Test Beds Using OpenSource Solutions", Proceedings - 2015 International Conference on Future Internet of Things and Cloud, FiCloud 2015 and 2015 International Conference on Open and Big Data, OBD 2015, 2015, 195--203, doi: 10.1109/FiCloud.2015.106