Summary
Sambandh Dhal is a postdoctoral AI researcher at Idaho National Laboratory specializing in augmented sorting to detect rare earth elements in e-waste, with additional projects in AI-driven food safety and security. He holds a PhD in Computer Engineering from Texas A&M, where he spent 10 semesters as a graduate assistant lecturer mentoring senior capstone teams across microcontrollers, databases, web apps, and PCB integration. His doctoral work developed error estimation methods for small, sparse datasets, complemented by applied experience in deep learning, reinforcement learning, computer vision, NLP, and big-data analytics. Industry roles at Bayer and AgriLife showcase his ability to translate advanced ML—clustering, feature selection, LSTM architectures, and ensemble models—into actionable insights for agriculture and soil management. Proficient in Python, R, C/C++, MATLAB, AWS, and major ML frameworks, he combines rigorous statistical modeling with practical deployment experience. Colleagues describe him as a pragmatic researcher who bridges academic rigor and real-world impact, especially in resource-constrained or noisy-data settings.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Technology - BTech Electrical Electronics and Communications Engineering, Bachelor of Technology - BTech Electrical Electronics and Communications Engineering at Siksha 'O' Anusandhan University
Doctor of Philosophy - PhD Computer Engineering, Doctor of Philosophy - PhD Computer Engineering at Texas A&M University