I am a bioinformatician with a background in data mining and machine learning. I have extensive experience with machine learning applications in big data problems in modalities including tumor images, graphs interaction, large databases, protein, functional magnetic resonance imaging (fMRI), and SPECT. I have attended UALR and proudly worked with Dr. Xiaowei Xu. My doctoral degree is in Applied Science. I successfully completed numerous real-world biomedical research projects. During my 10+ years of faculty appointment, I taught neural networks, general programming, image processing, mobile programming, web programming, database programming, data structures, human computer interaction, and microcomputer applications.
More biomedical research.
My research focused more prediction of kidney failure and the skin lesion detections problems.
I taught courses on database systems, general and mobile programming, and neural networks. In early years of this positions, we developed automatics solutions for skin lesion, specifically melanoma, detection. Meanwhile, I started collaborations with local biomedical research institutions that brings off many publications and fundings.
In this prominent biomedical institution, I worked with Dr. Topaloglu for a few projects in Department of IT research and Cardiology.
I taught BIOINF 497 Introduction to Bioinformatics in Department of Applied Science.
Department of IT research
First, I focused on general data mining applications, such as association mining, graph theory, and data mining. We worked on www-harvested data as well as omics and proteomics data. My doctoral study was on detection on cancer regions in biopsy images of head and neck cancer patients. My first intern position was at UAMS Cancer Center in 2003.
Joy of teaching. This would be more accurate statement what I feel about this interactive process. Learning is not an encounter with cold truth on a textbook or screen presentations. As always, my focus is student learning, not my teaching. Learning is set by student learning outcomes in a college environment, but continues to occurs after the class meeting usually in office hours, emails, projects, and discussions.
I taught different types of courses in our department: face-to-face (traditional), online, semi-online, research projects, individual honor thesis or research, master thesis, are team-based courses. A few of them are here:
Course | |
---|---|
COSC 1301 Microcomputer Applications | |
CSCI 489 Parallel Computing in Bioinformatics | |
CSCI 490 Honor Thesis | |
CSCI 491 Honor Readings | |
CSCI 497/597 Programming Mobile Devices | |
CSCI 515 Fundamentals of Programming | |
CSCI 518 Thesis | |
CSCI 520 Data Structures | |
CSCI 526 Database Systems | |
CSCI 595 Human Computer Interaction Design | |
CSCI 595 Research Literature & Techniques | |
CSCI 589 Internship | |
CSCI 597/560 Neural Networks | |
BIOINF 497 Introduction to Bioinformatics |
Apart from being a teacher and researcher, I enjoy the service to community.