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The New Jersey Institute of Technology's Electronic Theses & Dissertations Project
Roshan, Usman W. has served on the committee of
51 theses/dissertations that are available online.
* indicates that the advisor was committee chair or co-chair.
Author |
Degree |
Year |
|
Title |
ETD# |
Li, Chih-Yuan |
PhD |
© 2023 |
|
AI approaches to understand human deceptions, perceptions, and perspectives in social media |
njit-etd2023-023 |
Saghafi, Soheil |
PhD |
© 2023 |
|
Deep hybrid modeling of neuronal dynamics using generative adversarial networks |
njit-etd2023-030 |
Lan, Michael |
PhD |
© 2022 |
|
Using materialized views for answering graph pattern queries |
njit-etd2022-055 |
Yang, Yanan |
PhD |
© 2022 |
|
Adversarially robust and accurate machine learning for image classification |
njit-etd2022-086 |
Gupta, Kajal |
MS |
© 2021 |
|
RM-net: rasterizing Markov signals to images for deep learning |
njit-etd2021-022 |
Somasunder, Sathyanarayanan |
MS |
© 2021 |
|
Land cover image segmentation based on individual class binary segmentation |
njit-etd2021-030 |
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 |
Meng, Zixia |
MS |
© 2020 |
|
Model-based deep siamese autoencoder for clustering single cell rna-seq data |
njit-etd2020-046 |
Watson, Connor W. |
MS |
© 2020 |
|
Analysis of gameplay strategies in hearthstone: a data science approach |
njit-etd2020-006 |
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 |
Farhat, Fadi G. |
MS |
© 2019 |
* |
A study of machine learning and deep learning models for solving medical imaging problems |
njit-etd2019-006 |
Tian, Tian |
PhD |
© 2019 |
|
Model-based deep autoencoders for characterizing discrete data with application to genomic data analysis |
njit-etd2019-086 |
Gorski, Kathryn A. |
MS |
© 2018 |
|
Hypoxic and viral contributions to the etiopathogenesis of schizophrenia: a whole transcriptome analysis |
njit-etd2018-005 |
Nambiar, Ram Mohan |
MS |
© 2018 |
|
PolyA DB3: a database cataloging polyadenation sites(pas) across different species and their conservation |
njit-etd2018-053 |
Peng, Zhiqi |
MS |
© 2017 |
|
Characteristics of different deep neural networks and application of pre-trained model without transfer learning |
njit-etd2017-109 |
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 |
Somoza, Maria E. |
MS |
© 2016 |
|
Gene network understanding and analysis |
njit-etd2016-059 |
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 |
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 |
Patel, Nihir |
MS |
© 2015 |
* |
Cancer risk prediction with next generation sequencing data using machine learning |
njit-etd2015-010 |
Radia, Nidhi |
MS |
© 2015 |
|
Unsupervised gene regulatory network inference on microarray data |
njit-etd2015-083 |
Sun, Jichao |
PhD |
© 2015 |
|
Local selection of features and its applications to image search and annotation |
njit-etd2015-032 |
Xu, Weiting |
MS |
© 2015 |
|
Identifying modifier genes in SMA model mice |
njit-etd2015-092 |
Jadhav, Bharati |
MS |
© 2014 |
* |
Risk prediction with genomic data |
njit-etd2014-070 |
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 |
Chen, Shuo |
PhD |
© 2013 |
|
Eye detection using discriminatory features and an efficient support vector machine |
njit-etd2013-012 |
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 |
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 |
Vasanthu Somashekar, Mahesh Kumar |
MS |
© 2012 |
|
Heterogeneity-aware and energy-aware scheduling and routing in wireless sensor networks |
njit-etd2012-017 |
Liu, Zhiming |
PhD |
© 2011 |
|
Face recognition using multiple features in different color spaces |
njit-etd2011-011 |
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 |
Verma, Abhishek |
PhD |
© 2011 |
|
Investigation on advanced image search techniques |
njit-etd2011-099 |
Wu, Tao |
PhD |
© 2011 |
* |
A molecular dynamics simulation based principal component analysis framework for computation of multi-scale modeling of protein and its interaction with solvent |
njit-etd2011-021 |
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 |
Solaimuthu, Suresh |
PhD |
© 2010 |
* |
Natural selection on MRNA secondary structure and its correlation with protein functional groups |
njit-etd2010-106 |
Patil, Rahul |
MS |
© 2006 |
|
Comparative analysis of parametric, nonparametric and permutation methods for differential expression |
njit-etd2006-064 |
Zhang, Kai |
PhD |
© 2006 |
|
Bioinformatics framework for genotyping microarray data analysis |
njit-etd2006-046 |
Karmaker, Avik |
MS |
© 2004 |
|
SLIMSVM : a simple implementation of support vector machine for analysis of microarray data |
njit-etd2004-113 |
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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