Posts by Collection

News

News Coverage

My research story “New machine learning method turbocharges heat transfer simulations” was covered by news media! Read more at Purdue News

Summer Intern at Apple

I had an incredible summer at Apple battery team! Two key projects I did:

  • Developing efficient numerical solvers to better understand transport phenomena in batteries.
  • Designing powerful machine learning models to forecast user behavior using time series data.

Outstanding presentation award at 2024 IMECE

Happy to give two oral presentations and receive two Outstanding Presentation Award at 2024 IMECE! Two session that I was at:

  • Artificial Intelligence, Machine Learning and Data Science for Thermal Processes, Heat Transfer and Energy Systems.
  • Radiation Across Scales.

Guest speaker at Purdue SYS 350 course

Honored to be invited as a guest speaker for SYS 350: Systems Methods this Spring at Purdue University. I gave a talk on “Integrating AI, High-Performance Computing (HPC), and Multiscale Physics for Solving Energy Transport Problems.”. Thanks to the course instructors and students for the engaging discussion!


open_source_code

FourPhonon

FourPhonon: An extension module to ShengBTE for computing four-phonon scattering rates and thermal conductivity.

FOS

Fast Optical Spectrum (FOS) calculations for nanoparticle media by combining Mie theory with Monte Carlo simulations.

publications

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Heading 1

Heading 2

Heading 3

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.

Heading 1

Heading 2

Heading 3