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