Prof. Sunita Padhi
Assistant Professor
Qualification: M.Tech
Specialization: Computer Science & Engineering
Computer Science & Engineering
3 Months (GITA Autonomous College), 1 year 3 months (Aryan Institute of Engineering & Technology), 1 Year (NM Institute of Engineering & Technology), 2 year 6 months (College of Engineering Bhubaneswar), 6 months (Centurion University)
Machine Learning, Internet of Things (IoT)
1. Dynamic Resource Optimization for Cloud Encryption using ACO and KP-ABE (ICSCSA 2024); 2. Secure Cloud Access with MFA and Adaptive Access Control (ICAECT 2024); 3. GSM & Arduino Based Home Automation System (OCIT 2024); 4. Automated Preprocessing & Deep Learning for Non-Invasive Anemia Detection (GIEST 2025 - Accepted); 5. Hybrid Framework for Stock Market Volatility Prediction using ML (ISCON 2025 - Accepted)
