

Senior Lecturer teaches computing and engineering students across machine learning, artificial intelligence, data analytics, and IoT. Leads coursework, academic guidance, and applied research using Python, TensorFlow, PyTorch to connect theory with real-world problem solving. Supports interdisciplinary projects that strengthen collaboration between academia and industry.
Department of Computing
Department of Information Technology
Department of Information Science and Engineering
CSE PG Department
CSE PG Department
Member of Core research team of Smart and Secure Environment funded by DST, India.
Developed security mechanisms for Web Services
Assisted in the design and implementation of experiments, ensuring adherence to protocols and timelines.
Department of Computer Science and Engineering
Highly Commended
First Class
First Class
Python
TensorFlow
PyTorch
Docker
Research supervision
Curriculum development
Course design
Scholarly writing
Peer review
Cloud machine learning platforms
Experiment tracking
Feature engineering
Data pipeline orchestration
Scientific writing
Research grant writing
Research proposal writing
Research mentoring
· “Moth-flame optimized UNet++ with self-attention for early-stage Alzheimer’s disease prediction using multimodal input”, PeerJ Computer Science, https://doi.org/ 10.7717/peerj-cs.3586, February 2026 (Q2 – SCI)
· “Real Time Urban Traffic Prediction Using RFID and a Hybrid LSTM Random Forest Model”, Scientific Reports, 15, 43722 (2025) (Q1 – SCI)
· “Enhancing text-to-structured query language translation for seamless electronic medical record access”, PeerJ Computer Science (Accepted), (Q2 – SCI)
· “Design and implementation of a smart earthquake rescue robot to enhance rescue operations”, Scientific Reports, 15, 42287 (2025). https://doi.org/10.1038/s41598-025-16003-7, November 2025 (Q1 – SCI)
· “MSCHF algorithm for minimizing signaling costs and enhancing vertical handover efficiency in wireless communications networks”, PeerJ Computer Science, https://doi.org/10.7717/peerj-cs.3283, October 2025 (Q2 – SCI)
· “Label dependency modeling in Multi-Label Naïve Bayes through input space expansion”, PeerJ Computer Science, https://doi.org/10.7717/peerj-cs.2093, December 2024. (Q1 - SCI)
· "Efficient design and analysis of secure CMOS logic through logic encryption", Scientific Reports, 13, 1145 (2023). https://doi.org/10.1038/s41598-023-28007-2, (Q1 - SCI), 2023.
· "Machine learning based IoT system for secure traffic management and accident detection in smart cities", PeerJ Computer Science https://doi.org/10.7717/peerj-cs.1259, (Q1 - SCI), 2023.
· "IoT Integrated Edge Platform for Secured Industrial Application with Deep Learning", Human-centric Computing and Information Science, https://doi.org/10.22967/HCIS.2023.13.019, (Q2 - SCI), 2023.
· "Deep fake detection using cascaded deep sparse auto-encoder for effective feature selection", Peerj Computer Science, https://doi.org/10.7717/peerj-cs.1040 (Q1 - SCI), 2022.
· "Implementation of Legendre Neural Network to Solve Time-Varying SingularBilinear Systems", Computers, Materials and Continua, Techscience press. https://doi.org/10.32604/cmc.2021.017836 (Q3 - SCI), 2021.