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The New Jersey Institute of Technology's Electronic Theses & Dissertations Project
Wei, Zhi has served on the committee of
80 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 |
Ai, Yongling |
PhD |
© 2023 |
|
Development of novel protein digestion and quantitation methods for mass spectrometic analysis |
njit-etd2023-053 |
Asadi, Mahsa |
PhD |
© 2023 |
|
Diversification and fairness in top-k ranking algorithms |
njit-etd2023-035 |
Ghahremannezhad, Hadi |
PhD |
© 2023 |
|
Advanced traffic video analytics for robust traffic accident detection |
njit-etd2023-038 |
Lin, Xiang |
PhD |
© 2023 |
* |
Model-based deep autoencoders for clustering single-cell RNA sequencing data with side information |
njit-etd2023-057 |
Li, Beibei |
PhD |
© 2022 |
|
Type I error rate controlling procedures for multiple hypotheses testing |
njit-etd2022-082 |
Liu, Haoyue |
PhD |
© 2022 |
|
Analyzing fluctuation of topics and public sentiment through social media data |
njit-etd2022-038 |
Mohammadi Shakiba, Fatemeh |
PhD |
© 2022 |
|
Artificial neural networks and their applications to intelligent fault diagnosis of power transmission lines |
njit-etd2022-042 |
Uddin, Ajim |
PhD |
© 2022 |
|
Representation learning in finance |
njit-etd2022-028 |
Yang, Yanan |
PhD |
© 2022 |
|
Adversarially robust and accurate machine learning for image classification |
njit-etd2022-086 |
Abdulai, Abubakar-Sadiq Bouda |
PhD |
© 2021 |
|
Essays on health care quality: Timeliness, equity, and efficiency |
njit-etd2021-084 |
AlQuwaiee, Haifa |
PhD |
© 2021 |
|
On performance optimization and prediction of parallel computing frameworks in big data systems |
njit-etd2021-063 |
Guo, Ziyan |
PhD |
© 2021 |
|
Asymmetric multivariate archimedean copula models and semi-competing risks data analysis |
njit-etd2021-079 |
Gupta, Kajal |
MS |
© 2021 |
* |
RM-net: rasterizing Markov signals to images for deep learning |
njit-etd2021-022 |
Kuttichi Keloth, Vipina |
PhD |
© 2021 |
|
Methods for extending biomedical reference ontologies and interface terminologies for EHRr text annotation |
njit-etd2021-009 |
Lin, Zhongcheng |
PhD |
© 2021 |
|
Dependent censoring in survival analysis |
njit-etd2021-096 |
Liu, Shaobo |
PhD |
© 2021 |
|
Development of deep learning neural network for ecological and medical images |
njit-etd2021-012 |
Shi, Hang |
PhD |
© 2021 |
|
Novel statistical modeling methods for traffic video analysis |
njit-etd2021-048 |
Xie, Meiyan |
PhD |
© 2021 |
|
Towards adversarial robustness with 01 lossmodels, and novel convolutional neural netsystems for ultrasound images |
njit-etd2021-051 |
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 |
Cheng, Chaoran |
PhD |
© 2020 |
* |
Transfer learning: bridging the gap between deep learning and domain-specific text mining |
njit-etd2020-010 |
Farha, Yasser |
PhD |
© 2020 |
|
Mind maps and machine learning: An automation framework for qualitative research in entrepreneurship education |
njit-etd2020-093 |
Hou, Xiurui |
PhD |
© 2020 |
* |
Hybrid deep neural networks for mining heterogeneous data |
njit-etd2020-030 |
Liu, Hao |
PhD |
© 2020 |
|
Enrichment of ontologies using machine learning and summarization |
njit-etd2020-035 |
Meng, Zixia |
MS |
© 2020 |
* |
Model-based deep siamese autoencoder for clustering single cell rna-seq data |
njit-etd2020-046 |
Zheng, Cuicui |
PhD |
© 2020 |
|
Global optimization algorithms for image registration and clustering |
njit-etd2020-042 |
Aljouie, Abdulrhman Fahad M |
PhD |
© 2019 |
|
Cancer risk prediction with whole exome sequencing and machine learning |
njit-etd2019-056 |
Bagheri, Alireza |
PhD |
© 2019 |
|
Probabilistic spiking neural networks : Supervised, unsupervised and adversarial trainings |
njit-etd2019-026 |
Liang, Xiaoyuan |
PhD |
© 2019 |
|
Applied deep learning in intelligent transportation systems and embedding exploration |
njit-etd2019-044 |
Liu, Yang |
PhD |
© 2019 |
|
Early detection of fake news on social media |
njit-etd2019-063 |
Shen, Yucong |
MS |
© 2019 |
|
Deep morphological neural networks |
njit-etd2019-017 |
Tan, Fei |
PhD |
© 2019 |
* |
Statistical machine learning methods for mining spatial and temporal data |
njit-etd2019-077 |
Tian, Tian |
PhD |
© 2019 |
* |
Model-based deep autoencoders for characterizing discrete data with application to genomic data analysis |
njit-etd2019-086 |
Zhang, Yan |
PhD |
© 2019 |
|
Topics on high dimensional selective inference |
njit-etd2019-085 |
Gao, Xin |
PhD |
© 2018 |
* |
Deep learning methods for mining genomic sequence patterns |
njit-etd2018-056 |
Gorski, Kathryn A. |
MS |
© 2018 |
* |
Hypoxic and viral contributions to the etiopathogenesis of schizophrenia: a whole transcriptome analysis |
njit-etd2018-005 |
Jia, Xieyang |
PhD |
© 2018 |
|
Survival analysis using archimedean copulas |
njit-etd2018-026 |
Nambiar, Ram Mohan |
MS |
© 2018 |
|
PolyA DB3: a database cataloging polyadenation sites(pas) across different species and their conservation |
njit-etd2018-053 |
Yu, Li |
PhD |
© 2018 |
|
FWER controlling procedures in simultaneous and selective inference |
njit-etd2018-082 |
Liu, Qingfeng |
PhD |
© 2017 |
|
Investigation of new learning methods for visual recognition |
njit-etd2017-043 |
Peng, Zhiqi |
MS |
© 2017 |
* |
Characteristics of different deep neural networks and application of pre-trained model without transfer learning |
njit-etd2017-109 |
Turki, Turki Talal |
PhD |
© 2017 |
* |
Development and evaluation of machine learning algorithms for biomedical applications |
njit-etd2017-052 |
Zhang, Jie |
PhD |
© 2017 |
* |
Statistical learning methods for mining marketing and biological data |
njit-etd2017-056 |
Andalam, Pranitha Surya |
MS |
© 2016 |
|
Semi supervised weighted maximum variance dimensionality reduction |
njit-etd2016-046 |
Cheng, Ruihua |
PhD |
© 2016 |
* |
Structural exploration and inference of the network |
njit-etd2016-099 |
Hua, Lei |
PhD |
© 2016 |
|
A data science approach to pattern discovery in complex structures with applications in bioinformatics |
njit-etd2016-033 |
Somoza, Maria E. |
MS |
© 2016 |
|
Gene network understanding and analysis |
njit-etd2016-059 |
Xu, Chao |
PhD |
© 2016 |
|
Task-based user profiling for query refinement (toque) |
njit-etd2016-010 |
Zha, Shijie |
MS |
© 2016 |
* |
Uusing the KDJ as a trading strategy on biotech companies |
njit-etd2016-063 |
Zhong, Ling |
PhD |
© 2016 |
|
Algorithms for pre-microrna classification and a GPU program for whole genome comparison |
njit-etd2016-092 |
Ahmed, Nubyra |
PhD |
© 2015 |
|
Methods for two-sample comparisons from censored time-to-event data |
njit-etd2015-038 |
Aljouie, Abdulrhman Fahad M. |
MS |
© 2015 |
|
Rice and mouse quantitative phenotype prediction in genome-wide association studies with support vector regression |
njit-etd2015-002 |
Ghosh, Nandini |
MS |
© 2015 |
|
Exact genome alignment |
njit-etd2015-071 |
Grandhi, Anjana |
PhD |
© 2015 |
|
Multiple testing procedures for complex structured hypotheses and directional decisions |
njit-etd2015-046 |
Ji, Xiang |
PhD |
© 2015 |
|
Social analytics for health integration, intelligence, and monitoring |
njit-etd2015-105 |
Patel, Nihir |
MS |
© 2015 |
|
Cancer risk prediction with next generation sequencing data using machine learning |
njit-etd2015-010 |
Phillips, William |
PhD |
© 2015 |
|
Adaptive global optimization algorithms |
njit-etd2015-056 |
Xu, Weiting |
MS |
© 2015 |
* |
Identifying modifier genes in SMA model mice |
njit-etd2015-092 |
Ebrahimi Nezhad, Hossein |
MS |
© 2014 |
|
Differentiating schizophrenic patients from healthy control; application of machine learning to resting state fmri |
njit-etd2014-030 |
Gu, Jiayu |
PhD |
© 2014 |
|
Innovative local texture descriptors with application to eye detection |
njit-etd2014-009 |
Jadhav, Bharati |
MS |
© 2014 |
|
Risk prediction with genomic data |
njit-etd2014-070 |
Qiu, Zhiying |
PhD |
© 2014 |
|
FWER controlling procedures for testing multiple hypotheses with hierarchical structure and applications in clinical trials |
njit-etd2014-050 |
Wang, Wei |
PhD |
© 2014 |
* |
Computational methods for the analysis of next generation sequencing data |
njit-etd2014-057 |
Zhu, Junfei |
MS |
© 2014 |
* |
Comparison of different differential expression analysis tools for rna-seq data |
njit-etd2014-040 |
Banerji, Sugata |
PhD |
© 2013 |
|
Novel color and local image descriptors for content-based image search |
njit-etd2013-065 |
Ling, Xiao |
MS |
© 2013 |
* |
Polyaseeker: a computational framework for identifying polyadenylation cleavage site from RNA-seq |
njit-etd2013-049 |
Lu, Yuanpeng |
MS |
© 2013 |
* |
Performance comparison of five RNA-seq alignment tools |
njit-etd2013-047 |
Miya, Jharna |
MS |
© 2013 |
* |
RNA-sequence analysis of human melanoma cells |
njit-etd2013-045 |
Ramakrishnan, Srividya |
MS |
© 2013 |
|
A GPU program to compute SNP-SNP interactions in genome-wide association studies |
njit-etd2013-114 |
Vasavada, Meghana S. |
MS |
© 2013 |
|
Genome wide search for pseudo knotted non-coding RNAs |
njit-etd2013-039 |
De, Chandralekha |
PhD |
© 2012 |
|
Example based texture synthesis and quantification of texture quality |
njit-etd2012-062 |
Ramazanoglu, Sinan |
MS |
© 2012 |
|
Data mining of tetraloop-tetraloop receptors in RNA XML files |
njit-etd2012-075 |
Roberts, Andrew |
MS |
© 2012 |
|
Phenotype prediction and feature selection in genome-wide association studies |
njit-etd2012-074 |
Singh, Neha |
MS |
© 2012 |
|
A comparative analysis of machine learning algorithms for genome wide association studies |
njit-etd2012-072 |
Chakrabarti, Dibyendu |
PhD |
© 2011 |
|
Applications of stochastic simulation in two-stage multiple comparisons with the best problem and time average variance constant estimation |
njit-etd2011-107 |
Prasad, Meera |
MS |
© 2011 |
|
Fast program for sequence alignment using partition function posterior probabilities |
njit-etd2011-081 |
Shahidain, Seif |
MS |
© 2011 |
|
Ranking single nucleotide polymorphisms with support vector regression in continuous phenotypes |
njit-etd2011-082 |
Chikkagoudar, Satish |
PhD |
© 2010 |
|
Algorithms in comparative genomics |
njit-etd2010-018 |
Garg, Paras |
MS |
© 2010 |
|
Type-1 diabetes risk prediction using multiple kernel learning |
njit-etd2010-054 |
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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