About Me
I'm currently a Master's student in IT Engineering at the University of Tehran, where my research focuses on the social and strategic capabilities of Large Language Models, particularly how they reason and behave strategically in complex multi-agent interactions, adapt to social contexts, and pursue goals effectively.
During my Bachelor's in Industrial Engineering, I developed a deep interest in AI, which led me to transition into IT Engineering for my Master's after achieving rank 14 in Iran's national graduate entrance exam.
As a Research Assistant at the Intelligent Information Systems Laboratory, under the supervision of Dr. Azadeh Shakery and Dr. Yadollah Yaghoobzadeh, I work on understanding and enhancing strategic reasoning and behavior in LLMs within social contexts, investigating how agents anticipate others' actions, select appropriate strategies, and adapt their behavior to achieve communicative goals in scenarios such as negotiation, collaboration, and persuasion.
My research interests broadly span LLM reasoning, strategic behavior, social intelligence, and multi-agent systems, with a focus on building AI that is not only capable, but genuinely effective in human social environments.
Education
M.Sc. in Information Technology Engineering
Supervisors: Dr. Azadeh Shakery, Dr. Yadollah Yaghoobzadeh
GPA: 4.0 / 4.0 (17.76 / 20)
Thesis: An Investigation and Enhancement of Strategic Behavior of Large Language Models in Social Context
B.Sc. in Industrial Engineering
Supervisor: Dr. Abbas Saghaei
GPA: 4.0 / 4.0 (18.07 / 20)
Thesis: Used Car Price Prediction Using Machine Learning Methods
Research Interests
As a Research Assistant at the Intelligent Information Systems Laboratory under supervision of Dr. Azadeh Shakery and Dr. Yadollah Yaghoobzadeh, I focus on:
- Large Language Models (LLMs) and Machine Behavior
- Social Intelligence and Human-Computer Interaction
- Strategic and Social Reasoning of LLMs
- Cognitive Science in Intelligent Systems
- Computational Social Science and Emergent Social Behaviors
Experiences
Researcher
Supervisors: Dr. Azadeh Shakery, Dr. Yadollah Yaghoobzadeh
Research Area: Strategic Behavior and Social Reasoning of LLMs
AI Engineer
Developing AI-powered financial tools leveraging LLMs and information retrieval techniques.
Teaching Experience
Teaching Assistant — Natural Language Processing (Graduate)
Designed TravelBot assignment: a conversational travel assistant using ReAct architecture and LangGraph for flight search, hotel booking, and trip planning.
Implemented RAG pipeline for retrieving destination information and generating personalized travel recommendations.
Led workshops mentoring students on LangChain and LangGraph frameworks for building agent-based systems.
Teaching Assistant — Intelligent Information Retrieval (Graduate)
Designed assignments on conversational search, RAG systems, and multi-agent architectures.
Led technical workshops on LLMs in IR, covering LangChain, LangGraph, and ReAct patterns.
Guided students in implementing practical retrieval systems using state-of-the-art language models.
Teaching Assistant — Advanced Data Mining (Graduate)
Designed GNN-based assignment on academic network analysis, where students predict paper authorship and inter-paper relationships using graph neural networks.
Conducted hands-on workshops on GNN architectures and their applications in network data mining.
Teaching Assistant — Natural Language Processing (Graduate)
Designed and managed a financial advisory chatbot assignment, guiding students in building domain-specific conversational agents using LLMs.
Led workshops on fine-tuning and prompt engineering for task-specific NLP applications.
Selected Projects
Courses
Natural Language Processing
Progressed from fundamental NLP concepts to advanced techniques. Implemented a chatbot using tool-use strategies, APIs, Transformers, Hugging Face, Langchain, Langgraph, and agents.
Large Language Models
Developed strong skills working with LLMs through practical projects. Extensive experience with APIs, Transformers, Hugging Face, Langchain, Langgraph, and agents.
Intelligent Information Retrieval
Studied ad-hoc retrieval methods, embeddings, BERT models, and LLMs in retrieval-augmented generation (RAG) systems.
Advanced Data Mining
Covered data fundamentals, data cubes, classification, clustering, and deep learning applications on real-world datasets.
Social Networks
Studied graph theory, centrality measures, and community detection with applications to real-world network data.
Skills & Expertise
Honors & Awards
- Ranked 14th in Nationwide Graduate Level University Entrance Examination for Information Technology Engineering
Interests
- Exploring recent research in Artificial Intelligence and Natural Language Processing
- Studying Social Intelligence, Cognitive Science, and Human-Computer Interaction
- Researching Computational Social Science and emergent social behaviors
- Outdoor activities like hiking and nature walks for balance and inspiration