معرفی
Tian Guo is an Associate Professor in the Computer Science Department at Worcester Polytechnic Institute (WPI), where he leads research in systems for machine learning and augmented reality. He joined WPI after completing his PhD at the University of Massachusetts Amherst in 2016.
His educational background includes:
- Bachelor of Engineering from Nanjing University (2010)
- Master of Arts from University of Massachusetts Amherst (2013)
- PhD from University of Massachusetts Amherst (2016)
Professor Guo's research focuses on designing systems mechanisms and policies to handle trade-offs in cost, performance, and efficiency for emerging applications, particularly in the areas of:
- Cloud/edge resource management for machine learning workloads
- Deep learning inference optimization for mobile applications
- Augmented reality systems with focus on lighting estimation
- Distributed training frameworks for deep learning models
His recent publications demonstrate a strong trend toward improving system support for deep learning applications, with particular emphasis on mobile and edge computing environments. His work bridges the gap between theoretical machine learning advances and practical system implementations.
Professor Guo has received significant recognition for his research:
- National Science Foundation CAREER AWARD (2023)
- National Science Foundation CRII AWARD (2018)
- Outstanding Achievement by a Young Alum, Manning College of Information & Computer Sciences, UMass Amherst (2022)
- Best Paper Award, ACM Multimedia Systems Conference (2020)
He actively mentors graduate students and has advised several PhD and Master's students to completion. His research is supported by major funding from the National Science Foundation, Google Cloud, and VMware Research.
Professor Guo leads The Cake Lab at WPI, which focuses on creating efficient and effective systems for emerging applications, particularly those involving machine learning and augmented reality.
