Programming

• Python
• Java
• SQL

Bigdata Tools

• Spark
• Hadoop

Software Packages

• Gurobi, Spreadsheet

Machine Learning

• Deep Learning (RNN, LSTM, MLP)
• Deep Learning Platforms (Keras)
• Regression Models
• Dimensionality Reduction Techniques
• Various Classification and Clustering

Wright State University - Networking Lab
Jan 2016 - Current
Dayton, OH

• Analyzing Data to study the behavior of computer network traffic
• Deep Learning - (LSTM Model), and Machine Learning-oriented project.

Anbar University
Research Assistance and programmer
May 2006 - Dec 2014
Anbar, Iraq

• Working on a computer network simulations to enchance routing protocols.

Simultaneous Real-Time Traffic Engineering Benchmarking
2019 - Present

• An active project that implements various Traffic Engineering (TE) algorithms and compares them with a different set of metrics in an easy and efficient manner.

TE-Viz
2018-2019

• A project that implements various Traffic Engineering (TE) objective functions and collects data for analyzing and visualizing them.

Attack Detection in a Computer Network Using RNN LSTMs Neural Networks
2017

• Implemented a deep learning model (LSTMs) to classify normal traffic from malicious traffic using the KDD99 dataset.

Message Ferrying in Disconnected Clustered Ad-Hoc Network
2012

• Applied the technique of heuristic algorithm to maximize the performance of transferring messages among disconnected clusters using a ferry node. The project was conducted using the NS-2 network simulator.

Computer Network Programming
The Year of 2013 & 2014
AlAnbar University

Introduction to Databases
The Year of 2013

Distributed Database Systems
The Year of 2014

• " A New Software Framework for Traffic Engineering: Path Cardinality and the Effect of Multipath on Residual Capacity" Mohammed, S.; Bin, W., Submitted to NPSR'20, New Jersey.
• "Message Ferrying – Ad Hoc On-Demand Distance Vector (MF-AODV) protocol" Mohammed, S., Sufyan, T., PG NET 2012 – The 13 ^th annual postgraduate symposium on the convergence of Telecommunications, Networking, and Broadcasting – Liverpool John Moores University.

• The 2 ^nd IEEE International Conference on Smart Cloud (SmartCloud 2017) November 3 ^rd-5 ^th, 2017, New York, USA.
• PG NET 2012 – The 13 ^th annual postgraduate symposium on the convergence of Telecommunications, Networking, and Broadcasting – Liverpool John Moores University

Four months of a research training program at Liverpool John Moores University – Liverpool, UK.

• Conducted part of my research at this university while using their computing facilities to run large computer network simulations.

Online Courses (MOOCs)

• Machine Learning (Andrew Ng)
• Java Programming (UC San Diego)
• Complete practical SDN and OpenFlow Fundamentals by David Bombal

Courses at Wright State University

• Advanced Software Engineering CS 7140
• Algorithm Design and Analysis CS 7200
• Distributed Computing CEG 7370
• Advanced Computer Networks 7450
• Host Computer Security 6420
• Embedded Systems 7360
• Cloud Computing 7380
• Cyber Network Security 6430
• Machine Learning 7830
• Optimization Techniques 6270
• Data Mining 6710
• HPC & Parallel Programming 6900