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

Koutis, Ioannis
has served on the committee of
18 theses/dissertations that are available online.

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


Author Degree Year Title ETD#
Aghaieabiane, Niloofar Contact the author PhD © 2023 * Machine learning and network embedding methods for gene co-expression networks njit-etd2023-016
Asadi, Mahsa Contact the author PhD © 2023 Diversification and fairness in top-k ranking algorithms njit-etd2023-035
Islam, Md Mouinul Contact the author PhD © 2023 Models and algorithms for promoting diverse and fair query results njit-etd2023-039
Lin, Xiang Contact the author PhD © 2023 Model-based deep autoencoders for clustering single-cell RNA sequencing data with side information njit-etd2023-057
Mohammadi, Hessamaldin Contact the author PhD © 2023 Mapping programs to equations njit-etd2023-024
Nikookar, Sepideh Contact the author PhD © 2023 Human-AI complex task planning njit-etd2023-042
Abduallah, Yasser Contact the author PhD © 2022 Machine learning-based data analytics for understanding space weather and climate njit-etd2022-081
Patchett, Joseph Thomas Contact the author MS © 2022 Efficient and scalable triangle centrality algorithms in the arkouda framework njit-etd2022-051
Wei, Dong Contact the author PhD © 2022 Optimization opportunities in human in the loop computational paradigm njit-etd2022-029
Yao, Shibo Contact the author PhD © 2022 Graph enabled cross-domain knowledge transfer njit-etd2022-079
Hu, Zhihang Contact the author PhD © 2021 Advances in deep learning with applications to computer vision and astronomy njit-etd2021-085
Le, Huong Yen Contact the author PhD © 2021 * On non-linear network embedding methods njit-etd2021-044
Shukla, Sarvesh Contact the author MS © 2021 Stock market prediction using investor sentiment njit-etd2021-029
Xue, Yunzhe Contact the author PhD © 2021 Gradient free sign activation zero one loss neural networks for adversarially robust classification njit-etd2021-052
Basu, Rahul Contact the author MS © 2020 Privacy-preserving recommendation system using federated learning njit-etd2020-043
Patel, Sanyamee Milindkumar Contact the author MS © 2020 Accelerating transitive closure of large-scale sparse graphs njit-etd2020-075
Yin, Xin Contact the author PhD © 2020 Exposing and fixing causes of inconsistency and nondeterminism in clustering implementations njit-etd2020-070
Aljouie, Abdulrhman Fahad M Contact the author PhD © 2019 Cancer risk prediction with whole exome sequencing and machine learning njit-etd2019-056

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