Summary
Muhammad Santriaji is an Assistant Professor of Computer Science and Electronics with 11 years of research and academic experience focused on making deep neural network deployments more efficient, timely, and secure. He earned a PhD from the University of Chicago and completed postdoctoral work at the University of Central Florida, where he applied control systems and reinforcement learning to real-world DNN deployment challenges. His work uniquely blends systems-level optimization with security primitives like Fully Homomorphic Encryption to preserve availability, integrity, and confidentiality in AI systems. Having held research roles at Argonne National Laboratory and Indonesian institutions, he brings a global perspective to applied AI and embedded systems. Colleagues characterize him as a pragmatic researcher who seeks deployable solutions rather than theoretical ideals.
11 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Electronics and Instrumentation, Bachelor's degree, Electronics and Instrumentation at Universitas Gadjah Mada (UGM)
Master's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at Institut Teknologi Bandung (ITB)
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Chicago
Master of Science - MS, PHYSICAL SCIENCES, Master of Science - MS, PHYSICAL SCIENCES at University of Chicago
English, Indonesian