Summary
Arpan Sainju is an assistant professor and researcher with a Ph.D. in Computer Science from the University of Alabama and about a decade of experience bridging academia and industry in spatial big data, GIS, and spatiotemporal data mining. He has led projects that applied GPU-accelerated algorithms and deep learning to real-world problems—achieving over 50x speedups for spatial pattern mining and measurable accuracy gains in road-safety and flood-mapping models. Prior to academia he built and optimized C++/CUDA simulation solvers and visualization tools in industry, and has experience deploying cloud and teaching frameworks for undergraduate computing courses. His work spans interdisciplinary applications across earth science, transportation, public health, and public safety, often translating research prototypes into practical software artifacts (including an Empatica E4 Node package and web-based flood tools). Based in Murfreesboro, Tennessee, he combines rigorous systems-level optimization skills with hands-on teaching and project leadership. An understated strength is his track record of turning complex spatial problems into performant implementations that directly improved both research metrics and operational workflows.
10 years of coding experience
9 years of employment as a software developer
10+2, Physical Sciences, 10+2, Physical Sciences at National School of Science
Bachelors in Computer Engineering, Bachelors in Computer Engineering at Tribhuvan University
SLC, SLC at Butwal Elite English School
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Alabama
English, Nepali, 日本語 (japanese)