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The New Jersey Institute of Technology's Electronic Theses & Dissertations Project

Phan, Hai Nhat
has served on the committee of
16 theses/dissertations that are available online.

* indicates that the advisor was committee chair or co-chair.


Author Degree Year Title ETD#
Lai, Thi Kim Phung Contact the author PhD © 2023 * Trustworthy machine learning through the lens of privacy and security njit-etd2023-022
Li, Yi Contact the author PhD © 2023 Learning representations for effective and explainable software bug detection and fixing njit-etd2023-040
Liu, Guanxiong Contact the author PhD © 2023 Fortifying robustness: unveiling the intricacies of training and inference vulnerabilities in centralized and federated neural networks njit-etd2023-041
Mohammadi, Hessamaldin Contact the author PhD © 2023 Mapping programs to equations njit-etd2023-024
Furth, Nicholas Contact the author MS © 2022 Un-fair trojan: Targeted backdoor attacks against model fairness njit-etd2022-001
Hu, Han Contact the author PhD © 2021 * Private and federated deep learning: system, theory, and applications for social good njit-etd2021-066
Liu, Shaobo Contact the author PhD © 2021 Development of deep learning neural network for ecological and medical images njit-etd2021-012
Xue, Yunzhe Contact the author PhD © 2021 Gradient free sign activation zero one loss neural networks for adversarially robust classification njit-etd2021-052
Liu, Yang Contact the author PhD © 2019 Early detection of fake news on social media njit-etd2019-063
Shen, Yucong Contact the author MS © 2019 Deep morphological neural networks njit-etd2019-017
Tan, Fei Contact the author PhD © 2019 Statistical machine learning methods for mining spatial and temporal data njit-etd2019-077
Gao, Xin Contact the author PhD © 2018 Deep learning methods for mining genomic sequence patterns njit-etd2018-056
Zhong, Xin Contact the author PhD © 2018 Computational intelligence in steganography: adaptive image watermarking njit-etd2018-084
Markson, Christopher R. Contact the author PhD © 2017 Detecting user demographics in twitter to inform health trends in social media njit-etd2017-091
Peng, Zhiqi Contact the author MS © 2017 Characteristics of different deep neural networks and application of pre-trained model without transfer learning njit-etd2017-109
Pogili, Subramanyam Reddy Contact the author MS © 2017 Looping predictive method to improve accuracy of a machine learning model njit-etd2017-137

If you have any questions please contact the ETD Team, libetd@njit.edu.

Created 4/12/01; updated 8/30/02, 06/30/05

 
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NJIT's ETD project was given an ACRL/NJ Technology Innovation Honorable Mention Award in spring 2003