Mohammad Sadegh Sirjani

Mohammad Sadegh Sirjani is a Ph.D. student in Computer Science at the University of Texas at San Antonio (UTSA), where he conducts research in the ASIC Laboratory under the supervision of Professor Mimi Xie. His focus lies in Tiny AI, intermittent computing, energy harvesting, and low-power IoT systems, particularly for real-world applications in healthcare and embedded intelligence.

He completed his B.Sc. in Computer Engineering at Ferdowsi University of Mashhad and has worked as a research assistant and software engineer in both Iran and the U.S. His experience spans backend development, CI/CD pipelines, RESTful APIs, and cloud-native technologies including Docker, Kubernetes, and NGINX.

His academic output includes peer-reviewed publications on fog computing, SDN controller placement, and secure IoT systems. He was selected as a DAC Young Fellow and won first place in the 2-Minute Video Presentation Contest at DAC 2025 for his impactful research in energy-aware AI systems.

In addition to his research, he serves as a teaching assistant for various undergraduate courses such as Operating Systems, Cloud Computing, and Compiler Design, supporting students in mastering core computer science topics.

Outside of academia, Sadegh enjoys reading classic literature, learning new languages. He brings curiosity, discipline, and creativity to both his technical and personal pursuits.