Ali Ghelichkani

Research Assistant

Research Interests

  • Machine Learning & Deep Learning
  • Materials Informatics & AI-driven Discovery
  • Computational Materials Science
  • Molecular Dynamics (MD) Simulations

Education

  • Sharif University of Technology, Tehran, Iran
    • Bachelor of Science, Materials Science and Engineering (Sep 2019 - Jul 2024)
    • Minor in Computer Science (Sep 2020 - Jul 2024)

Work Experience

  • AI Software Engineer · Nobitex, Tehran, Iran (Sep 2021 - Sep 2025)
    • Developed a blockchain analysis system to identify suspicious nodes, enhancing security protocols.
    • Designed and implemented a RAG-based chatbot using a self-fine-tuned LLM, significantly reducing response time for the Customer Support Team.
    • Built comprehensive ERP and operation monitoring panels to streamline transaction tracking.
  • Data Science Intern · Lotus Adli Ferroalloy, Hamedan, Iran (Jun 2023 - Sep 2023)
    • Collaborated on developing an AI optimizer system utilizing Physics-Informed Neural Networks (PINNs) and Reinforcement Learning to reduce electricity consumption and optimize product purity (R&D Phase).

Research Experience

  • Research Assistant · Sharif University of Technology (May 2022 - Jun 2023)
    • Deep Learning in Structure Analysis of Bulk Metallic Glasses
    • Supervisor: Dr. Rouhollah Tavakoli
    • Developed a Neural Network to predict Voronoi indices of atoms in simulated Bulk Metallic Glass (BMG) samples.
    • Combined Molecular Dynamics (MD) simulation data with Deep Learning models.