Hao Peng

Hao Peng is a Senior Lecturer in the School of Computing at the University of Georgia, holding a Ph.D. in Computer Science (2019) and B.S. degrees in Computer Science and Statistics (2013). His research bridges Machine Learning and Computational Biology to address challenges in Traffic Flow Forecasting and Glycosylation Analysis. He was promoted to Senior Lecturer effective August 2025, following six years as a Lecturer.

• Doctor of Philosophy, Computer Science, University of Georgia (2019)
• Bachelor of Science, Statistics and Computer Science, University of Georgia (2013)

Peng’s work spans two primary domains: Machine Learning for Transportation Systems and Bioinformatics for Glycan Analysis. His traffic forecasting models integrate Temporal-Spatial Data and Knowledge-Guided AI, while his computational biology research focuses on Glycan Microheterogeneity, Kinase Regulation, and Immune Response Modeling. He also contributes to Probabilistic Graphical Models for hierarchical data and Ontology-Based Big Data Analytics.

Hao Peng’s publications highlight interdisciplinary trends, including Machine Learning for Traffic Simulation (2018-2020), Computational Glycobiology (2015-2022), and Neurodegenerative Disease Analysis (2025). His work often combines Algorithm Development and Data-Driven Biological Discovery, reflecting a dual focus on predictive modeling and biomedical applications.

• Scientific Awards:
  • Student Career Success Influencer Award (2024)
  • Best Student Paper Award (BigData Congress 2019, 2018)
  • Outstanding Teaching Assistant Award (2018)