Prerna Sethi Office: GTM 10 Phone: 318-257-2862 Fax: 318-257-4896 E-mail: prerna@latech.edu

Courses Taught:

HIM 312- Health Data Content and Structure

HIM 425- Information Systems in Healthcare

HIM 502- Database Architecture

HIM 513-Evaluation of Information Systems 

HIM 522- Computerized Decision Support

HIM 523- Healthcare Information Analysis

Research Interests:

Data Content Standards and Interoperability of EHR
Data Mining and Knowledge Discovery for health related data
Biomedical Image Analysis
Clinical Decision Support Systems
Personalized Patient Care Planning

Selected Grants:

1.   LaTech Summer Subcontract  (2006)                           
      NIH/NCRR       
      “Development Of Design Tool for Enhanced Fluorescein Angiography in Ophthalmology”
      Role: Project Investigator
      Award Amount: $12,000

2.   Innovative Instruction in Undergraduate Courses Mini-Grant (2006-2007)
      College of Applied and Natural Sciences, Louisiana Tech University,
      “Software Resource Development for Enhanced Educational Support” 
      Role: PI
      Award Amount: $499

3.   Travel Grant (2007)                                                   
      College of Applied and Natural Sciences, Louisiana Tech University,
      Role: PI 
      Award Amount: $2,065

4.   Board of Regents Enhancement Grant (2007-2008)
      “Undergraduate Healthcare Data Management and Mining Laboratory”
      Role: PI
      Award Amount: $30,000
        
5.   LaTech Summer Subcontract (2007)                             
      NIH/NCRR       
      “Design and Development of Computational Techniques for Hyperspectral Image Mining”
      Role: PI
      Award Amount: $26, 290

Selected Publications:

1. Prerna Sethi, Chokchai Leangsuksun; A Novel Computational Framework for Fast Distributed Computing and Knowledge Integration for Microarray Gene Expression Data Analysis. In the Proceedings 20th International Conference on Advanced Information Networking and Applications - Volume 2 (AINA'06),  2006, pp. 613-617.

2. Prerna Sethi, Chokchai Leangsuksun; Fast Knowledge Integration in Gene Expression Databases using High-performance Parallel Computing. In the Proceedings of The Sixth Annual Emerging Information Technology Conference (EITC ‘06).

3. Prerna Sethi, Chokchai Box Leangsuksun; A Computational Paradigm for Fast, Parallel Knowledge Integration for Analysis of Gene Expression Data. (Poster Abstract). In the Proceedings of The Second International Society for Computational Biology Student Council Symposium (ISCB’06).