Scholar
Tian Guo
Google Scholar ID: vDzUD84AAAAJ
Associate Professor, Worcester Polytechnic Institute
Citations & Impact
Citations
2,075
H-index
27
i10-index
54
Publications
20
Co-authors
17
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in international conferences like CCGrid'23 and SIGMETRICS'23; received NSF CAREER award for working on designing a specialized edge for AR; supervised students who completed their master's or doctoral theses in areas such as machine learning as a service and resource-efficient inference, with successful employment in industry.
Research Experience
- Currently an Assistant Professor in the Computer Science Department at Worcester Polytechnic Institute (WPI) and a member of the Cake Lab. Supervises multiple Ph.D. candidates and postdoc scholars in areas such as cloud-based distributed training and scheduling, efficient neural architecture search, mobile and edge augmented reality, and carbon-aware workload optimization.
Education
- Ph.D. from the University of Massachusetts Amherst, advised by Prof. Prashant Shenoy; B.E. from Nanjing University and was an exchange student at National Cheng Kung University.
Background
- Research interests include designing system mechanisms and policies to handle trade-offs in cost, performance, and efficiency for emerging applications. Specific projects involve cloud/edge resource management, big data frameworks, deep learning inference, distributed training, neural architecture search, and AR/VR. Recent work focuses on improving system support for deep learning and its practical applications.
Miscellany
- Gave a keynote speech at Mass Academy of Math and Science during the Conversations about STEM 2022 event, sharing research on cloud-based distributed training, edge support for mobile AR, and personal experience in grant writing and STEM.
