Amirreza Vishteh

Amirreza Vishteh

I am a researcher focused on AI Safety, Trustworthy AI, and Large Language Models (LLMs). I graduated with a Bachelor's degree from Iran University of Science and Technology (IUST) and am currently pursuing a Master's degree in Computer Engineering at Sharif University of Technology.

CV & Academic Journey - Amirreza Vishteh

📖 Academic Journey Summary

Master’s student at Sharif University researching AI Safety and Natural Language Processing. Ranked #475 nationally in Iran’s Mathematics Concours, combining theoretical rigor with practical innovation in trustworthy AI systems.

📥 Download CV

Year Details
2020 Started Bachelor’s in Computer Engineering, IUST, Tehran, Iran - Ranked #475 nationally in the Mathematics Concours, placing in the top 0.3% of over 150,000 applicants
2024 Completed Bachelor’s in Computer Engineering, IUST, Tehran, Iran - Developed full-stack engineering expertise from hardware description languages (VHDL) to transformer architectures
2024 Currently pursuing Master’s in Computer Engineering, Sharif University, Tehran, Iran - Member of Data Science and Machine Learning research group; Teaching Assistant for Stochastic Processes (Fall 2025)

🎯 Career Focus Areas

My research identity is anchored in two complementary domains:

  1. AI Safety and Trustworthy AI — Focusing on defending Large Language Models against backdoor attacks and securing neural architectures through comprehensive benchmarking (BackdoorBench, FTT-NAS)

  2. Natural Language Processing for Low-Resource Languages — Emphasis on Persian NLP infrastructure development (DadmaTools v2) and affective computing applications

I am driven by a commitment to build AI systems that are not only technically robust but also socially beneficial—addressing real-world challenges in mental health support, linguistic diversity, and AI safety. My trajectory from IUST to Sharif reflects an intentional progression toward independent research leadership and international collaboration in advancing the frontiers of trustworthy AI.

🧪 Teaching & Assistantships

  • University of Science and Technology — Assistant Professor teaching NLP, Artificial Intelligence, Theory of Languages, and Computer Architecture courses; designing curricula, leading lectures, conducting practical labs, and mentoring student research in advanced computing topics.
  • Sharif University of Technology — Assistant Professor teaching Stochastic Processes and Machine Learning courses; delivering comprehensive instruction, grading assessments, and guiding student research projects in machine learning applications.

🏫 Educational Institutions

Iran University of Science and Technology (IUST)

  • Location: Tehran, Iran
  • Degree: Bachelor of Science in Computer Engineering
  • Duration: 2020 - 2024
  • Achievement: Ranked #475 nationally in the Mathematics Concours (top 0.3% of 150,000+ applicants)
  • Focus: Full-stack engineering from hardware description languages (VHDL) to transformer architectures

IUST

Sharif University of Technology

  • Location: Tehran, Iran
  • Program: Master of Science in Computer Engineering
  • Status: Currently Enrolled (2024 - Present)
  • Research Group: Data Science and Machine Learning
  • Teaching Role: Teaching Assistant for Stochastic Processes (Fall 2025)
  • Focus: AI Safety, Trustworthy AI, Natural Language Processing

Sharif University

📚 Key Achievements & Milestones

Year Milestone Significance
2020 National Entrance Exam Rank: #475 Top 0.3% of all applicants nationally
2020-2024 IUST Bachelor’s Program Comprehensive CS foundation to AI specialization
2024 Bachelor’s Completion Full-stack engineering expertise acquired
2024-Present Sharif Master’s Program Advanced research in AI Safety & NLP
2025 TA: Stochastic Processes Demonstrating mastery of mathematical foundations
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