Faculty

Core Research Domains:

• Deep Learning
• Machine Learning
• Federated Learning

Research Focus:

Her research focuses on applying deep learning, federated learning, and data mining to solve complex real-world classification, anomaly detection, and predictive modeling challenges. Her work is on area of anomaly  detection, specifically identifying pickpocket suspects in transit data and locating flags in brain scans for ASD diagnosis. Additionally, she specializes in content and behavioral analytics to classify inappropriate media content and predict customer churn, while utilizing privacy-preserving federated learning architectures to build secure, decentralized prediction models.

Projects

• Detecting Pickpocket Suspects From Large-Scale Public Transit Records.
• A Deep Learning Based Approach For Inappropriate Content Detection And Classification Of YouTube Videos.
• ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry using Federated Learning.
• Deep Brain-Shapelet: A Framework for Capturing Non-linear Instantaneous Abnormalities in ASD Diagnosis.

Journals and Conferences:

• “A Deep Learning Based Approach For Inappropriate Content Detection And Classification Of YouTube Videos.” March 2024: https://www.scribd.com/document/806892790/JETIR2403521
• “A Review on Deep Brain-Shapelet: A Framework for Capturing Non-Linear Instantaneous Abnormalities in ASD Diagnosis.”:https://www.ijrdet.com/files/Volume15Issue2/IJRDET_0226_19.pdf 
• “ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry using Federated Learning.” Presented at the 5^th International Conference On Advances in Science, Engineering and Technology (ICASET-2026),22-23 March 2026.
• “ Graph Attention and BiLSTM-based Learning Spatio-Temporal Brain Connectivity Patterns to Classify Autism Spectrum Disorder” presented at the International Conference on Emerging Trends in Interdisciplanary Science and Technology(ICETIST-2026),29-30 April 2026.

Certified Courses:

• Introduction to Databases on July 6 2024–Nxtwave.
• Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate – Oracle
• Generative AI Mastermind – Outskill.
• One Month Internship Certification in Data Analytics – NoviTech RD Pvt.Ltd on March 20 – April 20 2025
•  MongoDB Courses For Beginners – Infosys SpringBoard on April 18 2025.
• Build Your OWN Response Website on July 3 2024 – Nxtwave .
• Build Your OWN Static Website on April 16 2024 – Nxtwave .
• Front End Development -HTML  on Jan2024 – Great Leaning Academy.

FDPs & Workshops Attended:

• Internet Society Universal Acceptance Day 0n 29th March 2025 at Microsoft Hyderabad Campus.
• Full Stack Development(Value Added Course) in CBIT on 28 Dec 2024-25 Jan 2025.
• Cyber Security and Its Best Practices(National-Level FDP) in cbit on 28 April-2 May 2025.
• Learning Methods in Artificial Intelligence (National-Level Online Workshop) in CBIT on 12 April – 17 May 2025.
• AI & ML for Societal Impact: Healthcare and Agricultural Applications (International Workshop) in CBIT on 5–9 January 2026.
• Upgrading Skills in Java Programming (STTP / Value Added Course) in CBIT on 15 March – 13 April 2025.
• The AI Beyond Frontier: Recent Breakthroughs and Next-Gen Prospects (FDP) in CBIT on 21–25 April 2025.
• Generative AI and Large Language Models (Two-Week Online Summer School) in CBIT on 19–30 May 2025