Usman Roshan
Education
Ph.D.; University of Texas-Austin; ; 2004
M.S.; University of Texas-Austin; Computer Science; 2002
B.S.; University of Texas-Austin; Computer Science; 1998
M.S.; University of Texas-Austin; Computer Science; 2002
B.S.; University of Texas-Austin; Computer Science; 1998
2024 Fall Courses
CS 726 - INDEPENDENT STUDY II
CS 700B - MASTER'S PROJECT
CS 701B - MASTER'S THESIS
CS 725 - INDEPENDENT STUDY I
CS 790A - DOCT DISSERTATION & RES
CS 488 - INDEPENDENT STUDY IN CS
DS 726 - INDEPENDENT STUDY II
DS 725 - INDEPENDENT STUDY I
DS 790A - DOCT DISSERTATION & RES
CS 792 - PRE-DOCTORAL RESEARCH
DS 677 - DEEP LEARNING
DS 792B - PRE-DOCTORAL RESEARCH
DS 700B - MASTER'S PROJECT
CS 700B - MASTER'S PROJECT
CS 701B - MASTER'S THESIS
CS 725 - INDEPENDENT STUDY I
CS 790A - DOCT DISSERTATION & RES
CS 488 - INDEPENDENT STUDY IN CS
DS 726 - INDEPENDENT STUDY II
DS 725 - INDEPENDENT STUDY I
DS 790A - DOCT DISSERTATION & RES
CS 792 - PRE-DOCTORAL RESEARCH
DS 677 - DEEP LEARNING
DS 792B - PRE-DOCTORAL RESEARCH
DS 700B - MASTER'S PROJECT
Past Courses
BNFO 135: PROGRAMMING FOR BIOINFORMATICS
BNFO 136: PROGRAMMING FOR BIOINFO II
BNFO 235: PROGRAMMING IN BIOINFORMATICS
BNFO 236: PROGRAMMING FOR BIOINFO II
BNFO 601: FOUND BIOINFORMATCS/STRUCT BIOI
BNFO 601: FOUND BIOINFRMTC STRUCT BIOIN
BNFO 602: FOUND BIOINFORMATCS/COMPAR BIOI
BNFO 602: FOUND BIOINFRMTCS COMPAR BIOIN
BNFO 615: BIOINFRMTCS CENTRC DATA STRUC
BNFO 615: MACHINE LEARNING FOR BIOINFO
CS 370: INTRO TO ARTIFCL INTELLGNCE
CS 485: SELECTED TOPICS IN CS
CS 634: DATA MINING
CS 675: MACHINE LEARNING
CS 677: DEEP LEARNING
CS 698: ST: CURRENT TOPICS IN DATA SCIENCE
CS 698: ST: CURRENT TOPICS IN DATA SCIENCE.
CS 698: ST: MACHINE LEARNING
CS 698: ST: MEDICAL ARTIFICIAL INTELLIGENCE
CS 732: ADVANCED MACHINE LEARNING
DS 644: INTRODUCTION TO BIG DATA
DS 675: MACHINE LEARNING
BNFO 136: PROGRAMMING FOR BIOINFO II
BNFO 235: PROGRAMMING IN BIOINFORMATICS
BNFO 236: PROGRAMMING FOR BIOINFO II
BNFO 601: FOUND BIOINFORMATCS/STRUCT BIOI
BNFO 601: FOUND BIOINFRMTC STRUCT BIOIN
BNFO 602: FOUND BIOINFORMATCS/COMPAR BIOI
BNFO 602: FOUND BIOINFRMTCS COMPAR BIOIN
BNFO 615: BIOINFRMTCS CENTRC DATA STRUC
BNFO 615: MACHINE LEARNING FOR BIOINFO
CS 370: INTRO TO ARTIFCL INTELLGNCE
CS 485: SELECTED TOPICS IN CS
CS 634: DATA MINING
CS 675: MACHINE LEARNING
CS 677: DEEP LEARNING
CS 698: ST: CURRENT TOPICS IN DATA SCIENCE
CS 698: ST: CURRENT TOPICS IN DATA SCIENCE.
CS 698: ST: MACHINE LEARNING
CS 698: ST: MEDICAL ARTIFICIAL INTELLIGENCE
CS 732: ADVANCED MACHINE LEARNING
DS 644: INTRODUCTION TO BIG DATA
DS 675: MACHINE LEARNING
Journal Article
Yang, Y, & Shih, Frank Y., & Roshan, Usman W. (2022). Defense against adversarial attacks based on stochastic descent sign activation networks on medical images. Pattern Recognition and Artificial Intelligence, 36(3), 2254005 (17 pages).
Aljouie, Abdulrhman, & Zhong, Ling, & Roshan, Usman W. (2018). Anchor selection for pairwise whole genome sequence alignment with the maximum scoring subsequence and GPUs. International Conference on Intelligent Biology and Medicine,
Patel, Nihir, & Aljouie, Abdulrhman, & Jhadav, Bharati, & Roshan, Usman W. (2016). Cross-validation and cross-study validation of chronic lymphocytic leukemia with exome sequences and machine learning. International Journal of Data Mining and Bioinformatics (IJDMB),
Aljouie, Abdulrhman , & Ramakrishnan, Srividya , & Esfandiari, Mohamadreza, & Roshan, Usman W. (2015). Chi8: Fast detection of significant interacting SNPs with the chi-square 8-df test on a GPU. BMC Research Notes,
Turki, Turki, & Roshan, Usman W. (2014). MaxSSmap: a GPU algorithm based on the maximum scoring subsequence for mapping DNA sequences to genomes. BMC Genomics,
Aljouie, Abdulrhman, & Zhong, Ling, & Roshan, Usman W. (2018). Anchor selection for pairwise whole genome sequence alignment with the maximum scoring subsequence and GPUs. International Conference on Intelligent Biology and Medicine,
Patel, Nihir, & Aljouie, Abdulrhman, & Jhadav, Bharati, & Roshan, Usman W. (2016). Cross-validation and cross-study validation of chronic lymphocytic leukemia with exome sequences and machine learning. International Journal of Data Mining and Bioinformatics (IJDMB),
Aljouie, Abdulrhman , & Ramakrishnan, Srividya , & Esfandiari, Mohamadreza, & Roshan, Usman W. (2015). Chi8: Fast detection of significant interacting SNPs with the chi-square 8-df test on a GPU. BMC Research Notes,
Turki, Turki, & Roshan, Usman W. (2014). MaxSSmap: a GPU algorithm based on the maximum scoring subsequence for mapping DNA sequences to genomes. BMC Genomics,
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Conference Proceeding
Adversarially robust and accurate machine learning for image classification
CRA-WP Visual Workshop, April (2nd Quarter/Spring) 2021
Statistically Rigorous Testing of Clustering Implementations
The First IEEE International Conference on Artificial Intelligence Testing (AI Testing'19), April (2nd Quarter/Spring) 2019
Cross-validation and cross-study validation of kidney cancer with machine learning and whole exome sequences from the National Cancer Institute
IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology , May 2018
A k-means based feature learning method for protein sequence classification
ISCA International Conference on Bioinformatics and Computational Biology , March 2018
Prediction of continous phenotypes in mouse, fly, and rice genome wide association studies with support vector regression SNPs and ridge regression classifier
IEEE International Conference on Machine Learning and Applications (ICMLA), December 2015
CRA-WP Visual Workshop, April (2nd Quarter/Spring) 2021
Statistically Rigorous Testing of Clustering Implementations
The First IEEE International Conference on Artificial Intelligence Testing (AI Testing'19), April (2nd Quarter/Spring) 2019
Cross-validation and cross-study validation of kidney cancer with machine learning and whole exome sequences from the National Cancer Institute
IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology , May 2018
A k-means based feature learning method for protein sequence classification
ISCA International Conference on Bioinformatics and Computational Biology , March 2018
Prediction of continous phenotypes in mouse, fly, and rice genome wide association studies with support vector regression SNPs and ridge regression classifier
IEEE International Conference on Machine Learning and Applications (ICMLA), December 2015
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Chapter
Roshan, Usman W. (2013). Multiple sequence alignment using Probalign and Probcons, David Russell (Ed.), Humana Press (part of Springer). Humana Press (part of Springer)