CAMTEC: Context-aware Adaptive Inference for Machine Task Execution in Complex Environments
L.G. Contreras, S., Mohanti, S., Choi H., Racape F., Levorato, M.
IEEE Military Communications Conference (MILCOM), Under Review, 2025.
Sharon L.G. Contreras, Ph.D.
I hold a Doctorate in Networked Systems from the University of California, Irvine (UCI), a Master’s degree in Electrical Engineering from the University of Southern California (USC), and dual Bachelor’s degrees in Telematics and Computer Engineering from ITAM. My doctoral research focuses on adaptive mobile edge computing systems for machine learning applications, integrating wireless communication, edge computing, and task-aware decision-making. I employ deep reinforcement learning and semantic logic to optimize real-time inference, with implementations on NVIDIA Jetson platforms using ROS and TensorRT for data collection, system deployment, and validation.
Technical Skills
Relevant Projects and Publications
Peer-reviewed publications and projects in Edge AI, Wireless Systems, and Distributed Computing.
SOAR: Semantic MU-MIMO Communications for Reliable Offloading of Computer Vision Tasks
L.G. Contreras, S., Khandaker, F., Levorato, M., Restuccia, F.
IEEE International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IOT), In Press, 2025.
Context-Aware Heterogeneous Task Scheduling for Multi-Layered Systems
L.G. Contreras, S., Levorato, M.
IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2023.
Publish-Pay-Subscribe Protocol for Payment-driven Edge Computing
Ramachandran, G., L.G. Contreras, S., Krishnamachari, B.
USENIX Workshop on Hot Topics in Edge Computing (HotEdge), 2019.