Mohammad Sadegh Sirjani

Ph.D. Student in Computer Science

Biography

Mohammad Sadegh Sirjani is a Ph.D. student in Computer Science at the University of Texas at San Antonio. He is a Graduate Research Assistant in the ASIC Lab, advised by Prof. Mimi Xie, and a Teaching Assistant at UT San Antonio. He received his B.Sc. in Computer Engineering from Ferdowsi University of Mashhad and passed his qualifying examination in 2026.

His research focuses on TinyML, edge AI, and intermittent computing for energy-harvesting and resource-constrained devices. He takes a cross-layer approach spanning machine learning and embedded systems to build intelligent devices that run reliably on batteryless hardware, with applications in wearable health sensing and sustainable IoT. His papers appear in GEM, IEEE EMBS BHI, Sustainable Computing, Cluster Computing, and IEEE SaTC.

He is a two-time DAC Young Fellow and won the DAC 2-minute presentation award in both 2025 and 2026. He received the Outstanding Paper Award at GEM 2026 and the Fan Favorite Award at the Draper Data Science Business Plan Competition. He earned an NVIDIA certificate in building agentic AI applications and is a reviewer for GLSVLSI.

News

View all

Sep 2026Paper "CogAdapt: Adapting Clinical ECG Foundation Models for Wearable Cognitive Load Assessment" accepted at IEEE EMBS BHI 2026.
Sep 2026Earned Building Agentic AI Applications with Large Language Models from NVIDIA, hosted by the College of AI, Cyber and Computing at UTSA.
Jul 2026Won the 2-minute presentation award competition at the 63rd DAC. Watch the presentation video here.
Jul 2026Awarded the Graduate School Academic Travel Fund to attend the Design Automation Conference (DAC) 2026.
Jul 2026Paper "Are LLM Benchmarks Already Contaminated? A Systematic Review of Contamination Detection Methods" published at the GEM Workshop — The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026).
Jun 2026Paper "Optimizing Task Scheduling in Fog Computing with Deadline Awareness" published at the IEEE 2nd International Conference on Secure IoT, Assured and Trusted Computing (SATC 2026).
Apr 2026Paper "Are LLM Benchmarks Already Contaminated? A Systematic Review of Contamination Detection Methods" received an Outstanding Paper award at GEM 2026, colocated with ACL 2026.
Apr 2026Selected as a scholarship recipient for the DAiR3 Data Science Summer School.
Apr 2026Won the Fan Favorite Award at the Draper Data Science Business Plan Competition 2026.
Apr 2026Invited to serve as a reviewer for GLSVLSI 2026.
Mar 2026Awarded the 63rd DAC Young Fellows fellowship.
Mar 2026Passed the PhD Qualifying Examination. Thank you Dr. Mimi Xie, Dr. Dakai Zhu, and Dr. Wei Wang!
Jan 2026Started a Research Assistantship at the ASIC Lab, UT San Antonio.
Nov 2025Paper "QTE-IoT: Q-Learning-Based Task Scheduling Scheme to Enhance Energy Consumption and QoS in IoT Environments" published in Sustainable Computing: Informatics and Systems.
Sep 2025Paper "Controller Placement in Software-Defined Networks Using Reinforcement Learning and Metaheuristics" published in Cluster Computing.
Jun 2025Won the 2-minute presentation award competition at the 62nd DAC.
Jun 2025Awarded the DAC Young Fellows fellowship and attended DAC 2025 as a Young Fellow.
Jun 2025Awarded the Graduate School Academic Travel Fund to attend the Design Automation Conference (DAC) 2025.
Jan 2025Started the PhD in Computer Science at UT San Antonio, advised by Dr. Mimi Xie, and joined the ASIC Lab.

Publications

View all

CogAdapt: Adapting Clinical ECG Foundation Models for Wearable Cognitive Load Assessment

Amir Mousavi, Erfan Nourbakhsh, Mohammad Sadegh Sirjani, Rocky Slavin, Mimi Xie, Leslie Neely, John Davis, John Quarles

VenueIEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2026)

Accepted20261 citation

Are LLM Benchmarks Already Contaminated? A Systematic Review of Contamination Detection Methods

Erfan Nourbakhsh, Mohammad Sadegh Sirjani, Amir Mousavi, Khoa Nguyen, John Quarles, Mimi Xie, Rocky Slavin

VenueFifth Workshop on Generation, Evaluation and Metrics (GEM 2026), colocated with ACL 2026Outstanding Paper

Published20262 citations

Outstanding Paper

Optimizing Task Scheduling in Fog Computing with Deadline Awareness

Mohammad Sadegh Sirjani, Mohammad Ahmad, Amir Mousavi, Erfan Nourbakhsh, Khoa Nguyen

VenueIEEE 2nd International Conference on Secure IoT, Assured and Trusted Computing (SATC 2026)

Published20266 citations

QTE-IoT: Q-Learning-Based Task Scheduling Scheme to Enhance Energy Consumption and QoS in IoT Environments

Ali Ghaffari, Vesal Firoozi, Ali Maleki, Mohammad Sadegh Sirjani, Maedeh Abedini Bagha

VenueSustainable Computing: Informatics and Systems Journal

Published20257 citations

Controller placement in software-defined networks using reinforcement learning and metaheuristics

Mohammad Sadegh Sirjani, Ali Maleki, Amir Pakmehr, Maedeh Abedini Bagha, Ali Ghaffari, Ali Asghar Pour Haji Kazem

VenueCluster Computing: The Journal of Networks, Software Tools and Applications

Published202512 citations