I am a PhD candidate in the joint Computer Science and BioInfomatic degree program at Clemson University and Medical University of South Carolina with a focus in Bioinfomatics, Data analysis, and Visualization. My interests lie in developing deep learning and machine learning algorithms to detect unique patterns in genomic and transcriptomic data./p>
Worked with large scale RNASeq data including panCancer and panGtex to construct, normalize, and analyze gene and transcript expressions. Developed and implemented machine learning algorithms to extract gene correlation networks associated to brain cancer. Constructed one of the first gene regulatory networks associated to cerebellar tissues using machine learning. Developed and taught courses for Database Design and Management, and Introduction to Machine Learning.
Developed visualization tools to identify performance improvement techniques for scientific application simulations. Identifying and visualizing spatial relationships between application and hardware for multivariate data. Utilized machine learning algorithms to explore correlation between application and hardware domain.
Developed a simulation of an integrated security system over a Light Weight File System written in C. Analyzed the effects of authorization and authentication servers on the timing effects to complete operations such as read/write.
Developing machine learning and visualization techniques to explore multivariate data. Developing visualization techniques and GUI to explore large scale calling context trees.
Technical editor pertaining to articles, papers, journal submissions in the field of Computer vision and pattern detection.
Investigating techniques for lip detection in low quality videos with subjects in moving vehicle. In-depth literature review of existing lip detection techniques and their limitations.
Python (NumPy, SciPy, SciKit, Matplotlib), R
C, C++, Matlab, P-SPICE, Simulink, Processing
Visit, vtk, Paraview, QT, OpenGL
DirectX, MPI, OpenMP, OpenCV, Tableau
Ensembl, ToppGene, UCSC Genome Browser,
The Cancer Genome Atlas, Gtexportal
Benafsh Husain, F. Alex Feltus. EdgeScaping: Mapping the Spatial Distribution of Pairwise Gene Expression Intensities. In PLOS ONE, Accepted, July 2019.
Yu Fu, Lu Yu, Benafsh Husain, Oluwakemi Hambolu, Ilker Ozcelik, Karan Sapra, Richard Brooks. Stealthy Domain Generation Algorithms in IEEE Transactions on Information Forensics and Security, vol. 12, no. 6, pp. 1430-1443, June 2017.
Yu Fu, Benafsh Husain, and Richard R. Brooks. 2015. Analysis of Botnet Counter-Counter-Measures. In Proceedings of the 10th Annual Cyber and Information Security Research Conference (CISR '15). (Best short paper).
Benafsh Husain, Alfredo Gimenez, Joshua A. Levine, Todd Gamblin, and Peer-Timo Bremer. 2015. Relating memory performance data to application domain data using an integration API. InProceedings of the 2nd Workshop on Visual Performance Analysis (VPA '15).
Benafsh Husain, Alfredo Gimenez, Todd Gamblin, Peer-Timo Bremer, Joshua A. Levine. Visualizing Fine-Grained Memory Accesses using Linked Software and Hardware Views. IEEE Vis 2015, Poster.
Alfredo Gimenez, Benafsh Husain, David Boehme, Todd Gamblin, Martin Schulz. Mitos: A simple Interface for Complex Hardware Sampling and Attribution. SC’2015, Poster
Richard Brooks,Benafsh Husain, SeokBae Yun, and Juan Deng. 2013. Security and performance evaluation of security protocols. In Proceedings of the Eighth Annual Cyber Security and Information Intelligence Research Workshop (CSIIRW '13). ACM, New York, NY, USA.
Karan Sapra, Benafsh Husain, Richard Brooks, Melissa Smith. Circumventing keyloggers and screendumps", in Proc. MALWARE '13, 2013, p. 103- 108.
Benafsh Husain. Face Detection and Lip Localization. Master's thesis, Cal Poly, SLO, 2011.
Xiaomin Jin, Sean Jobe, Simeon Trieu, Benafsh Husain Jason Flickinger. Mode pattern analysis of gallium nitride-based laser diodes. Proc. SPIE 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging (August 28, 2009).