Sanjaya Lohani
Assistant Professor Of Electrical & Computer Engineering at SMU Lyle School of Engineering
Dallas, Texas, United States
Summary
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Senior🎓
Top SchoolSanjaya Lohani is an Assistant Professor of Electrical & Computer Engineering with nine years of experience at the intersection of machine learning, quantum technologies, and free-space communications. His work spans academia and applied research—from PhD and postdoctoral projects at Tulane to quantum engineering roles at UIC and IBM—developing AI-assisted quantum networking, hybrid classical-quantum ML frameworks, and robust optical communication methods. He leads qtinslab.com, focusing on practical, near-term quantum applications and AI tools that improve measurement, simulation, and communication hardware. Known for translating advanced theory into deployable systems, he has collaborated with national labs and industry to push quantum advantage toward real-world use. Based in Dallas, he combines deep computational experience (supercomputing and ML engineering) with hands-on experimental and networking insights that drive multidisciplinary innovation.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning and Quantum Technologies, Doctor of Philosophy - PhD, Machine Learning and Quantum Technologies at Tulane University
Github Skills (4)
simulations7
gpu4
tensorflow4
oam3
Programming languages (1)
Github contributions (5)
slohani-ai/LG-OAM-simulations-with-Tensors
Jan 2021 - Jan 2022
LG-OAM Simulations, TensorFlow, GPU
Contributions:1 release, 120 commits, 6 PRs in 1 year
gputensorflow-gpusimulationstensorflowoam
slohani-ai/machine-learning-for-physical-sciences
Jan 2022 - Nov 2022
Contributions:186 commits, 36 pushes, 2 branches in 10 months
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