Bashir Mohammed, PhD.

Computational Research Division
Lawrence Berkeley National Laboratory.
One Cyclotron Road,
50B-3233B
Berkeley, CA 94720 US.
bmohammed@lbl.gov
Google Scholar | LinkedIn | Twitter

About me

I am a post-doctoral research scholar in the Computational Research Division(CRD) working on the Deep Learning and Artificial Intelligence High-Performance Networks(DAPHNE) project under the supervision of Mariam Kiran of Energy Sciences Network(Esnet) and John Wu at Berkeley Lab. I received my (MSc) in Control Systems Engineering under the supervision of Professor Peter J Fleming from the University of Sheffield, and a PhD in Computer Science from the University of Bradford in the United Kingdom under the supervision of Professor Irfan Awan and Professor Hassan Ugail. I am currently developing AI and Machine Learning algorithms to control high-speed networks such as to avoid data traffic congestion, degraded network performance and network downtime for important Science Bigfile Transfers and experiments. My method will lead to minimizing network downtime, save US department of Energy (DOE) millions of dollars on equipment cost, and free engineers to work on science experiments. My research contributed to the core network research and operations with my strong background in HPC and cloud where I developed and built these infrastructures during my PhD (Bradstack).

Research Interest

My research is focused on enabling the design of intelligent networks that allows improved reliability for exascale scientific workflows. I am working on building robust networks through the use of machine‐learning‐based approaches, cloud computing, and software‐defined networks (SDN). This couples deep learning methods with SDN for predicting real‐time network behaviour, avoiding data traffic congestion and degraded network performance. My research interest lies at the intersection between network systems, control systems, and machine learning..

My current research interest

Honors and Awards

Professional Activities

Teaching

2021
University of California, Davis, California USA.

ECS 289I - 001 Winter 2021- Application of Machine Learning in Computer Networks

2020
Berkeley Lab Teaching Scholar Program , Berkeley, California USA.

2020 Berkeley Lab Teaching Scholar Candidates

2018
Leeds Trinity University, UK

Module leader for the Higher Education Funding Council of England (HEFCE) course on introduction to programming.

Contributing to the academic development, course management, teaching and research development.

Teaching and mentoring Second year students.

Teaching Introduction to Programming, Human Computer Interaction (HCI).

Introduction to Coding using Python and Java.

Introduction to JavaScript, Change Management and Version Control using tools such as Visual Studio, Bracket, Code Academy, Code Pen, GitHub, and Glitch.

2017
University of Bradford, UK

2016-7 ACYR - Cisco Routing and Switching Labs, Computer Communication and Networks (CCN) For 2nd Year Undergraduate Students.

2016
University of Bradford, UK

COS5010-B- Computer Communication and Networks (CCN) For 2nd Year Undergraduate Students.

2016
University of Bradford, UK

CM-1066D- Networks and Protocols For MSc Students in Network and Cyber Security

2015
University of Bradford, UK

CM-0228L - Software Engineering with Group Projects (SEGP)- For 2nd Year Undergraduate Students.

Professional Training and Certification