معرفی
Sam Ogden is an Assistant Professor at California State University, Monterey Bay (CSUMB), where he joined in August 2022. He holds a Ph.D. in Computer Science from Worcester Polytechnic Institute (2022), focusing on mobile-oriented deep learning inference. His academic journey includes degrees in Electrical Engineering, Mathematics, and Computer Science from the University of Vermont, and prior roles as a Product Engineer at IBM and GlobalFoundries.
His research bridges mobile devices and cloud computing, emphasizing optimization of machine learning inference for mobile applications. Key areas include edge computing, model execution caching, latency reduction, and energy-efficient distributed systems. Recent work explores mental health screening through smartphone data and text message analysis, expanding into health informatics applications.
Research Trends: Recent publications highlight innovations like Layercake (2023) for edge-cloud inference efficiency and MiseEnPlace (2022) for mobile deep learning optimization. Earlier work addresses GPU scheduling (2021), DNN caching challenges (2019), and hybrid mobile-edge frameworks (MODI, 2018).
Awards: No scientific awards explicitly mentioned in the provided texts.
Advising & Grants: No student advisees or grant details listed.
Labs/Teams: Affiliated with CSUMB’s School of Computing & Design, though specific lab affiliations are not detailed.
