Faculty Directory
Dr. D. Sobya
Academic Information
Ph.D., Jadavpur University, 2019
Research Areas
Research Interests
My research interests lie at the intersection of IoT, Wireless Sensor Networks, Embedded Systems, and Artificial Intelligence, with a strong emphasis on real-time monitoring, intelligent decision-making, and secure data processing. I work extensively on AI-enabled smart agriculture, healthcare monitoring, surveillance automation, and cyber-physical systems, integrating machine learning, deep learning, and optimization algorithms. My research also addresses privacy-preserving systems, lightweight cryptography, blockchain-based security, and biomedical signal and image analysis. I focus on developing scalable, energy-efficient, and application-oriented solutions using cloud platforms and edge intelligence for sustainable and smart environments.
Courses Taught
Computer Networks, Signals and Systems, Digital Signal Processing, Microprocessors, Embedded Systems, ARM Microcontroller, Antenna and Wave Propagation, Digital Electronics, Analog and Digital Electronics, Biology for Engineers
Positions Held
Professor
Publications
1. An Integrated AI-IoT Framework for Predictive Healthcare Monitoring and Personalized Patient Assistance
2. IoT-Driven Precision Agriculture: Real-Time Soil Health and Irrigation Monitoring using Low-Power Wireless Sensor Networks
3. Wearable Sensor Network‐Driven Human Activity Recognition via Philippine Eagle Optimized Statistics‐Infused Neural Network
4. End-to-End Security and Privacy Protection for Healthcare Data Using AES-256 and Dynamic Authentication
5. Privacy-Preserving E-Fir Systems Using Blockchain and Enhanced Silk Moth Optimization
6. Modern Lightweight Cryptography for Secured Cloud Data Using Constrained Spherical Scyphozoan Jellyfish Optimizer
7. An Intrusion Detection Mechanism for Wireless Sensor Networks in Smart Environments using Self Attention Generative Adversarial Capsule Network
8. Leveraging Text Mining for Drug Recommendation System
9. Prediction of COVID-19 Vaccine Side Effects using SMOTE and Ensemble Machine Learning Models
10. Classifying Pap Smear Images with an Advanced Composite Random Forest Model