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Publications, Posters, and Presentations

Publications

A full list of publications is available on Google Scholar.

  • A. A. Azam, B. Lian, S. Ryu, and J. Yu, “Wilson-Loop-Ideal Bands and General Idealization”, Phys. Rev. Lett. (2026), arXiv:2509.05410 [cond-mat.mes-hall]. Accepted in PRL (in press).
  • J. B. Hart, A. A. Azam, T. Li, Y. Li, Y. Bi, H. Pan, and J. Yu, “Representability-Aware Neural Networks for Reduced Density Matrices: Application to Fractional Chern Insulators” (2026), arXiv:2605.20326 [cond-mat.str-el]. Under review at PRX Intelligence.
  • A. A. Azam, L. Zhao, and J. Yu, “Reduced Density Matrices Through Machine Learning” (2025), arXiv:2511.07367 [cond-mat.str-el]. In preparation for journal submission.

Posters and Presentations

  • A. A. Azam, “Generator Matching for Materials Modelling”, Princeton Center for Complex Materials (PCCM) REU Final Poster Session, Princeton University, Princeton, NJ, 29 July 2026. Expository, based on Holderrieth et al., arXiv:2410.20587.
  • A. A. Azam, “Generator Matching for Materials Modelling”, PCCM REU Flash Talks, Princeton University, Princeton, NJ, 08 July 2026. Expository, based on Holderrieth et al., arXiv:2410.20587.
  • A. A. Azam, L. Zhao, and J. Yu, “Machine-Learning Accelerated Calculations of Correlation Functions”, APS Global Physics Summit 2026, Session Y30: Quantum Hall Effect & Computation of Topological Properties, Denver, CO, 20 Mar. 2026. Contributed talk.
  • A. A. Azam, L. Zhao, and J. Yu, “Reduced Density Matrices through Machine Learning”, The Pennsylvania State University Condensed Matter Theory Group Meeting (online), 05 Dec. 2025. Talk delivered by L. Zhao; co-prepared presentation and participated in Q&A.
  • A. A. Azam, L. Zhao, and J. Yu, “Machine-Learning Accelerated Calculations of Reduced Density Matrices”, Quantum Geometry and Moiré Materials Workshop (sponsored by the Institute for Fundamental Theory) Poster Session, University of Florida, 10 Nov. 2025.
  • A. A. Azam, L. Zhao, Y. Ge, and J. Yu, “Machine Learning Acceleration for Hartree-Fock Calculations”, UF Undergraduate Fall Research Symposium, 16 Oct. 2025.
  • A. A. Azam, “Introduction to PyTorch”, Workshop taught for the IEEE Signal Processing Society at UF (in collaboration with the Society of Physics Students) twice, on 15 May and 04 Sept. 2025.
  • A. A. Azam, “Self-Attention and Transformer Models from Scratch”, Workshop taught for the IEEE Signal Processing Society at UF (in collaboration with the Society of Physics Students) twice, on 12 June and 20 Nov. 2025.

Education

  • BS/BA at UF (2023-2027 expected)
    • GPA: 3.89/4.0
    • Activities and Societies: University Math Society, Society of Physics Students, IEEE Signal Processing Society
  • High School Diploma from Bayaan Academy (May 2023)
    • Co-valedictorian
    • SAT: 1560 (790 Math, 770 Reading & Writing)
    • Weighted GPA: 4.35 (out of 4.0)
    • Activities: Newsletter Club, Soccer Team

Honors and Awards

  • UF Center for Condensed Matter Sciences (CCMS) Undergraduate Fellowship (2025-2026)
  • AI Scholars Program (2025-2026, 2026-2027)
  • President’s Honor Roll (Summer 2025)
  • Dean’s List (Summer 2025, Fall 2025, Spring 2026)
  • 3rd place winner, GatorHack AI Hackathon, sponsored by NVIDIA and Verizon (2023). Artificial Intelligence Lead for the ChatGIT project (Devpost, GitHub).

Skills

  • Programming Languages: Python, C/C++, Java/Kotlin
  • Machine Learning: PyTorch and JAX for training NN models, PyTorch Geometric for graph neural networks, hyperparameter optimization with RayTune and Optuna
  • Software: Quantum ESPRESSO and EPW for DFT and electron-phonon calculations, scientific programming using NumPy/SciPy, plotting and data visualization with Matplotlib, Bash scripting, Linux command line, high-performance computing (SLURM, OpenMP, HiPerGator 4.0/AI HPC cluster at UF), Git/GitHub, LaTeX
  • Hardware: ARM/AVR assembly, microcontrollers (embedded C, UART/SPI), breadboard prototyping, basic FPGA programming with VHDL

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