Prasad Chetti

Assistant Professor

Education

• ABD Ph.D., in Information Technology | Anticipated graduation: August 2022
  • University of Nebraska at Omaha (UNO), Omaha, USA
• M.Tech., Computer Science and Engineering | 2014
  • Indian Institute of Technology Guwahati (IITG), Guwahati, India
• M.Tech., Geo-Informatics and Surveying Technology | 2009
  • Jawaharlal Nehru Technological University Hyderabad (JNTUH), India 
• B.Tech., Computer Science and Engineering | 2002
  • P.R.R.M. Engineering College (Affiliated to JNTUH), Shabad, India

Courses Taught

• Computer Organization
• Data Science
• Database Management
• Graph Theory
• Machine Learning
• Artificial Intelligence
• Programming Languages

Academic Interests

• Data Science
• Graph Clustering Algorithms
• Artificial Intelligence
• Machine Learning
• Computational Biology
• Population Analysis

Scholarly Activity

• Chetti and H. Ali, (2019). “Analyzing the Structural Health of Civil Infrastructures Using Correlation Networks and Population Analysis”. Proceedings of the eighth international conference on data analytics. September 22-26, 2019, Porto, Portugal.
• Chetti and H. Ali, (2020). “Estimating the Inspection Frequencies of Civil Infrastructures Using Correlation Networks and Population Analysis”. International Journal on Advances in Intelligent Systems, v 13 n 1&2 2020.
• Chetti, H. Ali, R. Gandhi, B. Ricks, D. Ghersi, and L. Najjar, (2021- in press). “A new Approach for Analyzing Safety and Performance Factors in Civil Infrastructures Using Correlation Networks and Population Analysis”. Proceedings of the 13^th IWSHM 2021 at Stanford University.
• Hatami, Z., Chetti, P., Ali, H, Volkman., D (2021- in press). A Novel Population Analysis Approach for Analyzing Financial Markets under Crises – 2008 Economic crash and Covid-19 pandemic. HICSS-2022 Conference

Other Professional Experience

• Chetti, H. Ali, R. Gandhi, B. Ricks, and L. Najjar, (2021). “A Population Analysis Approach to Identify Significant Parameters of Highway Bridges”. Regional Community Meeting of Midwest Bigdata Innovation Hub, October 27-28 (online).
• Chetti, (2019). “A correlation network model for managing safety and performance issues in bridges and civil infrastructures”. Student Research and Creative Activity Fair, University of Nebraska at Omaha, March 1^st, 2019.
• Chetti, (2018). “Predicting Structural Health and Inspection Frequencies of Civil Infrastructures using Correlation Network Model”. Student Research and Creative Activity Fair, University of Nebraska at Omaha, March 2^nd, 2018.
• Chetti, (2013). “Benchmarks for developing overlapping community detection algorithms”. Student Poster Presentations, Indian Institute of Technology Guwahati, India. December 2013.