Iman Sharifi

Iman Sharifi

Ph.D. Student at the George Washington University

Iman Sharifi

I am a Ph.D. student in Mechanical and Aerospace Engineering at The George Washington University, where I work with Prof. Peng Wei in the Intelligent Autonomous Systems Lab (IASL).

My research lies at the intersection of Control, Optimization, Neuro-Symbolic Artificial Intelligence, Safe Multi-Agent Reinforcement Learning, and Autonomous Systems. I am broadly interested in developing interpretable and verifiable AI systems for safety-critical applications such as airspace management, advanced air mobility (AAM), and autonomous driving. My current work is funded by by NASA under the University Leadership Initiative (ULI).

I have also conducted research as a Visiting Researcher at the Connected and Automated Vehicles Lab (CAV-Lab), University of Surrey, focusing on symbolic imitation learning and safe decision-making for autonomous vehicles using Neuro-Symbolic Reinforcement Learning. My works have been published in venues such as Smart Agricultural Technology, Transportation Research Record (TRR), IJCAI, and under review at AAAI.

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Research Interests

  • Safe and Interpretable Reinforcement Learning
  • Neuro-Symbolic Reasoning and Differentiable Logic
  • Multi-Agent Systems and Airspace Management
  • Autonomous Vehicles and Advanced Air Mobility
  • Generative AI for Control and Decision-Making

Opportunities

I am actively seeking research internship opportunities in 2025–2026 related to AI, autonomous systems, or reinforcement learning in academia, research labs, or industry.
If you are interested in collaboration or potential internship opportunities, feel free to reach out at iman.sharifi.edu@gmail.com.

News

  • [2025/10] Published Agricultural Spraying Drones: A Comprehensive Review at Smart Agricultural Technology.
  • [2026/09] Two papers accepted at AIAA SciTech Forum 2026 on UTM and AAM cybersecurity.
  • [2025/09] Published Towards Safe Autonomous Driving Policies using a Neuro-Symbolic Deep Reinforcement Learning Approach in Transportation Research Record (TRR).
  • [2025/08] Submitted ANDRE: An Attention-Based Neurosymbolic Differentiable Rule Extractor to AAAI 2025.
  • [2025/08] Published Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey at Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI).
  • [2024] Joined the Intelligent Autonomous Systems Lab (IASL) at The George Washington University as a Ph.D. student.

Contact

📧 iman.sharifi.edu@gmail.com
🔗 GitHub • LinkedIn
🏫 Intelligent Autonomous Systems Lab (IASL), The George Washington University, Washington, DC, USA