I received my Bachelor’s degree in Computer Software from the University College of Science and Technology, Urmia, Iran, in February 2010. Following graduation, I gained several years of professional experience in computer networks, IT, and telecommunications before pursuing graduate studies.
In January 2016, I joined the Department of Computer Science at Özyeğin University as a Master’s student, where I became a member of the AI Lab. My research focused on artificial intelligence, machine learning, and intelligent agents. Alongside my studies, I served as a Graduate Teaching Assistant, supporting courses such as Introduction to Programming, Discrete Mathematics, and Introduction to Engineering Computation.
On August 20, 2019, I successfully defended my M.Sc. thesis titled:
“Agent-Based Negotiation for Incentive-Driven Privacy-Preserving Information Sharing.”
The thesis consists of two major contributions:
Preference elicitation and modeling human behavior toward data privacy, combined with a negotiation framework enabling information sharing while mitigating privacy violations through Human–Agent negotiation.
RL-Acceptance: an automated acceptance policy for bilateral negotiations, developed using deep reinforcement learning. Unlike traditional methods based on explicit coding of negotiation strategies, RL-Acceptance learns adaptive behavior and achieved performance comparable to, and in some cases exceeding, state-of-the-art acceptance policies.
My primary research interests lie in artificial intelligence, machine learning, negotiation frameworks, and intelligent agent systems.
