Barakkath Nisha Usman
Dr.Mahalingam College of Engineering and Technology, Sri Krishna College of Engineering and Technology, Anna University, ILAHIA College of Engineering and Technology
0000-0002-1148-9732
About
Dr. Barakkath Nisha Usman is a Senior Member of IEEE and a Professor of Computer Science and Engineering with strong academic and research expertise in intelligent computing and communication networks. She completed her Ph.D. in Wireless Sensor Networks from Anna University, Chennai. She received her Bachelor of Engineering degree in Computer Science and Engineering with distinction and her Master of Engineering degree in Computer Science and Engineering from Anna University, Chennai. She is currently guiding 8 Ph.D. scholars under Anna University and has published several research articles in reputed web of science journals and Scopus-indexed journals and conferences. She has also contributed technically to various IEEE events. Her research interests include Ad hoc Networks, Wireless Sensor Networks, Data Mining, Natural Language Processing, Machine Learning, and Artificial Intelligence. Her current research focuses on the application of intelligent computing techniques for network security, data analytics, and interdisciplinary AI-based solutions.
Employment
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Dr.Mahalingam College of Engineering and Technology Professor2025 - Present
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Sri Krishna College of Engineering and Technology Head of the Department2021 - 2025
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ILAHIA College of Engineering and Technology Professor2017 - 2021
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PSNA College of Engineering and Technology Professor2010 - 2017
Education
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Anna University PhD/ Multivariate outlier Detection in Data Aggregation for improving Data Accuracy In Wireless Sensor Networks2013 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (101)
- Neuro Evolutionary Swarm Intelligence Framework for Real Time Anomaly Detection in IoT Enabled Industrial Networks Save
- A Unified Threat Intelligence Framework using FTLMS for Proactive IoT Security in Cloud Environments Save
- Advanced Cyberbullying Detection Integrating Pytesseract, Demoji and BERT for Comprehensive Textual and Visual Content Analysis Save
- Advanced Leaf Species Recognition using Convolutional Neural Networks (CNN) and Random Forest Save
- An architectural framework for interoperable security anomaly detection in edge computing and SDN using gradient-boosted trees Save
- An exploration of edge-based energy harvesting and routing strategies to enhance communication efficiency in IoT networks Save
- Anti-Money Laundering in Bitcoin using Deep Learning Save
- AutoTestGen: Intelligent Automated Test Case Generation using GPT-3.5 Turbo Save
- Autonomous Recovery and Monitoring in AI Workflows with Generative AI Save
- Blockchain Technology for Secure and Transparent Expense Splitting Across Departments and Organizations Save