MINDFUL Lab
Machine learning, Discrete estimation, Bioinformatics, and Ubiquitous learning research
What we do
Research conducted at the MachIne learNing, Discrete estimation, bioinFormatics, and Ubiquitous Learning (MINDFUL) Lab at University of Science, Ho Chi Minh city provides fundamental mathematical understanding of, and theoretically optimal and computationally efficient solutions for problems in group testing, machine learning, cancer genomics, identifying/discriminating codes, and neural coding. Beyond scientific research, we work on philosophy with a focus on Buddhism and I Ching.
Note to prospective students: I am always looking for motivated students with strong mathematical and/or programming skills. If you find my research areas interesting and would like to work with me, please send me an email with your CV, preferably highlighting your strengths and interests.
What's new?
(Apr. 2024) Our paper has been accepted at IEEE Transactions on Information Theory.
Bui, Thach V., and Jonathan Scarlett. "Concomitant Group Testing." arXiv preprint arXiv:2309.04221 (2023).
(Apr. 2024) Our two papers have been accepted at The 2024 IEEE International Symposium on Information Theory (ISIT).
Bui, Thach V. "A simple self-decoding model for neural coding." bioRxiv (2022): 2022-02.
Bui, Thach V., Yeow Meng Chee, and Van Khu Vu. "Efficient designs for threshold group testing without gap."
(Dec. 2023) Our paper has been accepted at European Journal of Medical Research.
Daniel J. Tan, Jiayang Chen, Yirui Zhou, Jaryl Shen Quan Ong, Richmond Jing Xuan Sin, Thach V. Bui, Ahokhi Amit Mehta, Kay Choong See. "Association of body temperature and mortality in critically ill patients: An observational study using two large databases."
(Sep. 2023) Our preprint on a special case of complex group testing and learning a hidden graph, called Concomitant Group Testing is available here.
(Mar. 2023) Our paper has been accepted at Information and Inference: A Journal of the IMA.
Bui, Thach V., and Jonathan Scarlett. "Non-adaptive Algorithms for Threshold Group Testing with Consecutive Positives ."
(Apr. 2022) Our paper has been accepted at The 2022 IEEE International Symposium on Information Theory (ISIT).
Bui, Thach V., Yeow Meng Chee, Jonathan Scarlett, and Van Khu Vu. "Group Testing With Blocks of Positives."
(Feb. 2022) Our preprint on bridging neuroscience and superimposed codes is available here.
(Feb. 2022) Our preprint on group testing with blocks of positives is available here.
(Nov. 2021) Our preprint on threshold group testing with consecutive positives is available here.
(Aug. 2021) Our paper has been accepted at IEEE Transactions on Information Theory.
Bui, Thach V., Cheraghchi, M., & Echizen, I. (2020). "Improved non-adaptive algorithms for threshold group testing with a gap." arXiv preprint arXiv:2001.01008.
(Apr. 2021) It has been a while since the coronavirus pandemic occurred and we do not know exactly when the pandemic is over. I'm fortunate to be in a good condition now. To keep tracking with the research community, our paper has been accepted at The 2021 IEEE International Symposium on Information Theory (ISIT).
Bui, Thach V., Mahdi Cheraghchi, and Thuc D. Nguyen. "Improved algorithms for non-adaptive group testing with consecutive positives." arXiv preprint arXiv:2101.11294 (2021).
(Mar. 2020) Our paper has been accepted at The 2020 IEEE International Symposium on Information Theory (ISIT).
Bui, Thach V., Mahdi Cheraghchi, and Isao Echizen. "Improved non-adaptive algorithms for threshold group testing with a gap." arXiv preprint arXiv:2001.01008.
(Jan. 2020) Our paper is on Arxiv.
Bui, Thach V., Mahdi Cheraghchi, and Isao Echizen. "Improved non-adaptive algorithms for threshold group testing with a gap." arXiv preprint arXiv:2001.01008.
(Oct. 2019) I'm a recipient of the 3rd SOKENDAI Award (President's Award) for outstanding research work accomplished as an excellent doctoral thesis.
(Aug. 2019) I'll do research in cancer genomics as a postdoctoral researcher hosted by Prof. Fabio Vandin this Fall.
(Apr. 2019) Our paper is on Arxiv.
Bui, Thach V., Minoru Kuribayashi, Mahdi Cheraghchi, and Isao Echizen. "Efficient and error-tolerant schemes for non-adaptive complex group testing and its application in complex disease genetics." arXiv preprint arXiv:1904.00349 (2019).
(Mar. 2019) Our paper has been accepted at IEEE Transactions on Information Theory.
Bui, Thach V., Minoru Kuribayashi, Mahdi Cheraghchi, and Isao Echizen. "Efficiently Decodable Non-Adaptive Threshold Group Testing." arXiv preprint arXiv:1712.07509 .
(Jan. 2019) Our paper is on Arxiv.
Bui, Thach V., Minoru Kuribayashi, Mahdi Cheraghchi, and Isao Echizen. "Improved encoding and decoding for non-adaptive threshold group testing." arXiv preprint arXiv:1901.02283 (2019).
(Jan. 2019) Our paper has been accepted at 2019 Theory and Applications of Models of Computation (TAMC).
(Dec. 2018) Our paper has been accepted at Journal of Information Processing.
(Oct. 2018) Our paper is on Arxiv.
Bui, Thach V., Minoru Kuribayashi, Mahdi Cheraghchi, Isao Echizen. "A framework for generalized group testing with inhibitors and its potential application in neuroscience." arXiv preprint arXiv: 1810.01086 (2018).
(May 2018) Our paper is on Arxiv.
Bui, Thach V., Minoru Kuribayashi, Tetsuya Kojima, Isao Echizen. "Sublinear decoding schemes for non-adaptive group testing with inhibitors." arXiv preprint arXiv: 1805.11748 (2018).
(Apr. 2018) Our paper is on Arxiv.
(Mar. 2018) Our paper has been accepted at The 2018 IEEE International Symposium on Information Theory (ISIT).
Bui, Thach V., Minoru Kuribayashi, Mahdi Cheraghchi, and Isao Echizen. "Efficiently Decodable Non-Adaptive Threshold Group Testing." arXiv preprint arXiv:1712.07509 (2017).