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Bashir Mohammed

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Bashir Mohammed
Postdoctoral Scholar
Computational Research Division(CRD)
Phone: 510-356-7983
Lawrence Berkeley National Laboratory
One Cyclotron Road,
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 Performance Engineering(NetPEn) Research group and the Center for Visual Computing. Bashir has a Bachelor's degree in Electrical and Computer Engineering and a Master's degree in Control Systems 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

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,

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", Software - Practice and Experience, 2017, 47:1243--1274, doi: 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 INT IEEE Conferences on Ubiquitous Intelligence \& Computing, Advanced \& 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.2016.158

Conference Papers

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,

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,

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