I’m a CS Ph.D. student at Image and Video Computing Group, Boston University, advised by Prof Bryan Plummer.
My research focuses on Vision and Language, and Efficient Deep Learning.
Previously, I earned my bachelor’s degree in Computer Science (Honors Program) from HCMUT, Vietnam.
Publications
[1] Chau Pham, and Tommy Dang, "Link Prediction for Biomedical Network", In Proceedings of the 12th International Conference on Advances in Information Technology 2021
[2] Jake Gonzalez , Chau Pham, Afamefuna Umejiaku, Juanita Benjamin, and Tommy Dang, "SkeletonVR: Educating Human Anatomy Through An Interactive Puzzle Assembly", In Proceedings of the 12th International Conference on Advances in Information Technology 2021
[3] Chau Pham, Vung Pham, and Tommy Dang, "Graph Adversarial Attacks and Defense: An Empirical Study on Citation Graph", 2020 IEEE International Conference on Big Data (Big Data), Atlanta, GA, USA, 2020, pp. 2553-2562.
[4] Vung Pham, Chau Pham, and Tommy Dang, "Road Damage Detection and Classification with Detectron2 and Faster R-CNN", IEEE Big Data Cup: Global Road Damage Detection Challenge 2020.
[5] Chau Pham, Vung Pham, and Tommy Dang, "GenExplorer: Visualizing and Comparing Gene Expression Levels via Differential Charts", ISVC 2020: 15th International Symposium on Visual Computing, San Diego, California, USA, 2020.
[6] Chau Pham, Vung Pham, and Tommy Dang, "Solar Flare Prediction using Two-tier Ensemble with Deep Learning and Gradient Boosting Machine", 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA, 2019, pp. 5844-5853.
[7] Pham Minh Chau, Bui Minh Duc, and Duong Tuan Anh. 2018. Discord Discovery in Streaming Time Series based on an Improved HOT SAX Algorithm. In Proceedings of the Ninth International Symposium on Information and Communication Technology (SoICT 2018). Association for Computing Machinery, New York, NY, USA, 24–30. DOI:https://doi.org/10.1145/3287921.3287929.
[8] Pham Minh Chau, Bui Minh Duc, and Duong Tuan Anh, “Discord Detection in Streaming Time Series with the Support of R-Tree”, 2018 International Conference on Advanced Computing and Applications (ACOMP), Ho Chi Minh City, 2018, pp. 96-103.
Teaching
• Fall 2021 - CS 101: Introduction to Computer Science (Teaching Fellow)
Office Hours: Wed 3:30 PM - 5:30 PM in EMA 302
Honors and Awards
• Ranked 7th KDD Cup - Adversarial Attacks and Defense on Academic Graph (2020)
• Ranked 2nd IEEE Big Data - Solar Flare Prediction from Time Series of Solar Magnetic Field Parameters (2019)
• Runner-up in Facebook Vietnam Hackathon (2016) held by Facebook