Zeeshan Ahmad is an Assistant Professor and director of the Ahmad Materials and Energy Research Group at Texas Tech University, with nine years of experience bridging computational materials science, condensed matter physics, and machine learning to tackle energy storage and conversion challenges. He develops multiscale computational models and collaborates closely with experimental groups to validate designs for solid-state batteries and solar cells, combining theory with hands-on battery assembly and characterization. Trained at Carnegie Mellon (PhD) and experienced at the University of Chicago as a postdoc, he brings deep expertise in how nanoscale and microscale structure controls macroscopic device performance. Beyond typical academic roles, he actively integrates ML-driven materials discovery into experimental workflows, accelerating translation from simulation to prototype.
9 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
Doctor of Philosophy (PhD), Mechanical Engineering, Doctor of Philosophy (PhD), Mechanical Engineering at Carnegie Mellon University
Contributions:5 commits, 3 pushes in 2 years 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Zeeshan Ahmad - Assistant Professor at Texas Tech University