Summary:

• Ph.D. candidate and graduate research assistant in the Cybersecurity Lab in Virginia Modeling Analysis and Simulation Center at Old Dominion University since August 2016.
• Three and half years of experience in the research area related to Cyber-physical systems, IoT, Blockchain, Cyber Insurance, Machine learning, and Deep learning, and Data science.
• Three and half years of experience in web-based simulation tool development for cyber-physical systems security analytics
• Seven years of prior experience in integration, startup testing and support of telecommunication core network systems (Ericsson)
• Experience in the machine learning techniques, modeling theories and simulation paradigm (System Dynamics, Agent-based modeling, and Game Theory), data analytics tools
• Certified project management professional (PMP)

Skills:

• Programming: Python, C/C++, MATLAB
• Web-Development: HTML, CSS, JS, PHP
• Database: MS SQL
• Data Analytic: R, SPSS, Minitab, Panda, Keras
• Data Visualization: Tableau, Excel, Matplotlib
• Machine Learning: Supervised or unsupervised Learning, Deep Learning, Neural Networks
• Modeling Techniques: Formal methods, system dynamics, agent-based modeling, game theory
• OS: Windows, Linux, Kali-Linux
• Network Scanner: Nessus, Openvas, Mulval, Snort
• Other: Latex, MS Office, MS Visio, Draw.io

Graduate Courses Completed at Old Dominion University:

• Network Security: Concepts, Protocols and Programming
• Blockchains and Cryptocurrencies
• Machine Learning I
• Optimization Methods
• System Risk and Failure Analysis
• Finite Element Analysis
• Simulation Formalism
• Advanced Analysis for Modeling and Simulation
• Cluster Parallel Computing
• Modeling Global Events
• Simulation Fundamentals
• Simulation Design
• Model Engineering
• Computer Graphics and Visualization