Dr. Mounika Vanamala

Teaching Interests

• Cyber security
• Network security and Cryptography
• Programming Languages
• Artificial Intelligence and Machine learning
• Python for Data Mining and Data Visualization

Responsibilities

• CSCI 145 Programming for New Programmers
• CSCI 370 Computer Security
• CSCI 376 Cryptography/Network Security
• Co-Chair of AIMS Artificial Intelligence & Machine Learning Security Research Group.

Research and Creative Activities

• Cyber Security
• Secure Software Engineering
• IOT Security
• Natural language processing/Text Mining
• Machine Learning and Artificial Intelligence

Education

• Ph.D. North Carolina A&T State University, Greensboro, NC, USA (Computer Science)
• M.S North Carolina A&T State University, Greensboro, NC, USA (Computer Science)
• B. Tech Jawaharlal Nehru Technological University Hyderabad (Computer Science)

Published Research

• Machine Learning Based Approach to Recommend MITRE ATT&CK taxonomy and CAPEC Attack Patterns for Software Requirement Documents.
• IOT Security-Mapping Design documents to IoT OWASP top 10.
• Deep Learning Approach for Intelligent Intrusion Detection System.
• Encrypted Network Traffic Classification Using Deep and Parallel Network-In-Network Models.
• Improving Web Page Access Prediction using Web Usage Mining and Web Content Mining.