Patents:
1. "Method and System for Neurological Disease Prediction and Pattern Mining: Identifying Disease Patterns and Predictive Models for Enhanced Diagnosis and Treatment", Document Number 202341054290, Filling Date: 11-08-2023, Filling Date: 11-08-2023, Published Date: 23-08-2023 at Intellectual Property India.
2. "Optimal Hybrid Approach for Avoiding Trains Collisions", Document Number 202441034972, Filling Date: 02-05-2024, Published Date: 10-05-2024, at Intellectual Property India.
3. "Leveraging IOT and Machine Learning for Real - Time Aqua Stock prediction with improved accuracy", Document Number 202441034985, Filling Date: 02-05-2024, Published Date: 10-05-2024 at Intellectual Property India.
Interested Research Areas as Resource Person
- Artificial Intelligence, Machine Learning, Deep Learning.
- Cloud Computing, Amazon Web Services, Microsoft Azure.
- Data Science, Big Data, Hadoop Integration with R.
- Python Programming, Anaconda, Sklearn, Juypter Notebok.
- Research Methodology, Research Directions in Advanced Computer Engineering Topic
- Resource Person for Three Day Faculty Development Programme (FDP) on "Advancements in Cloud Computing Services and its Applications", Organized by Dept. of CSE & IT, Andhra Loyola Institute of Engineering and Technology, Vijayawada during 17th -19th November 2016, Andhra Pradesh, India.
- Guest Faculty for Library Science Students at Kakatiya University for the Subject "Data Base Management System".
- Guest Faculty for Campus Recruitment Training at KITS Warangal, Conducted by Talentio on June 28, 2019.