• Work on the conjunction of Machine Learning and Game Theory to develop advanced cyber deception techniques and also analyze human factors in decision-making process.• Analyze attack graph to find zero-day vulnerability that defender unaware of and develop potential mitigation of these vulnerabilities.• Consider a set of vulnerabilities at a time that will significantly increase the action space of the game model and work on the scalability of the game model such as graph reduction methods based on locality.• Work on the mobility of nodes and dynamically changing graph structures to learning policies by repairing baseline strategies.• Analyze large attack graphs such as host-based attack graph and propose hardening action of hosts under different constraints.

• Introduction to Computational Thinking: Worked as a lab instructor in a multi-major environment for an introductory Python lab. Helped students to overcome difficulties at programming and evaluated lab assignments, quizzes, and exams for 85 students.

• Taught courses on Structured Programming, Data Structure, Computer Organization, Assembly Language, Theory of Computing, Compiler, and Distributing Processing.• Supervised many BSc. students at their final year projects and led several student groups for developing software.