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Scientific Data Management Research

Bashir Mohammed

Screenshot 2019 10 17 at 22.52.35
Bashir Mohammed
Postdoctoral Scholar
Computational Research Division(CRD)
Lawrence Berkeley National Laboratory
One Cyclotron Road,
50B-3233B
Berkeley, California CA 94720 US

Bashir joined 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 current work focuses on developing Machine Learning algorithms to optimally control distributed network resources, improve high-speed big data transfers and control high-speed networks that will eventually minimize network downtime and avoid network traffic congestion for important Exacscale scientific workflows.

Bashir 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 (United Kingdom). 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

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, 2020,

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: https://onlinelibrary.wiley.com/doi/abs/10.1002/spe.2491

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

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,

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,

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

T Mallick, M Kiran, B Mohammed, Prasanna Balaprakash, "Dynamic Graph Neural Network for Traffic Forecasting in Wide Area Networks.", Machine Learning Big Data 2020, November 2, 2020,

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

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