Hamdan Ashfaq, B.A., B.S.

Closeup of Hamdan Ashfaq

Pronouns: Hamdan
Doctoral Student
Computational Science (JDP)
SDSU / UC Irvine Joint Doctoral Program in Computational Science | Dogan Lab
Collage of Sciences

SDSU / UC Irvine

Email

Primary Email: [email protected]

Building/Location

5500 Campanile Dr.
San Diego, CA 92182

Website Links

Bio

I am a doctoral student in Computational Science. My research focuses on machine learning for materials science, and I am interested in combining deep learning with first-principles simulation to accelerate materials characterization and discovery.

Previous research experience includes developing machine learning methods for electron microscopy data of amorphous materials.

Education

  • B.A. Computer Science, B.S. Data Analytics, Denison University.

Areas of Specialization

Machine Learning for Materials Science, Deep Learning, Computational Materials Physics, First-Principles Simulation, Electron Microscopy

Mentors

Presentations

    • Patnaik, S., Ganju, E., Torbati Sarraf, H., Ashfaq, H., & Chawla, N. "Harnessing the Power of AI in 3D X-ray Microtomography." Purdue AI Research Showcase, West Lafayette, IN. (2026).
    • Ashfaq, H., Wu, J., & Chawla, N. "Imaging and Machine Learning of Defects in Semiconductors." Purdue SURF Research Symposium, West Lafayette, IN. (2025).
    • Islam, M., Kim, J. Y., Yoo, G. H., Im, S., Calderon Ortiz, G., Ashfaq, H., Park, E. S., & Hwang, J. "In-Depth Analysis of Structural Heterogeneity in High Entropy Bulk Metallic Glasses Using 4D-STEM." Microscopy & Microanalysis 2024, Cleveland, OH. (2024).

Publications

  • Islam, M., Wang, M., Fantin, A., Yoo, G. H., Kim, J. Y., Ashfaq, H., Park, E. S., Maaß, R., Wang, Y., Fan, Y., Chung, H. S., Lee, S. C., & Hwang, J. Linking Topological Medium Range Order and Density-Wave Coherence to Metallic Glass Ductility. Acta Materialia (under review, 2026). Preprint: SSRN, https://doi.org/10.2139/ssrn.7228519