Peer-reviewed papers presented at international IEEE conferences and journals, spanning wireless communications, computer vision, and deep learning.
2025 36th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2025), Istanbul, Turkey
A novel hybrid CNN-Transformer framework for indoor radio environment mapping (REM). Trans-REM combines a CNN for local spatial feature extraction with a transformer for capturing global context. Two auxiliary input modalities — line-of-sight (LoS) image and antenna radiation pattern image — guide the network to model complex indoor propagation. Outperforms state-of-the-art REM methods by 15% in MSE.
2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON), New Delhi, India
Developed a specialized Named Entity Recognizer leveraging Computer Vision and NLP to extract entities from scanned documents. Achieved outstanding performance: Precision 99.80%, Recall 99.53%, F1 99.66%. Implemented as a privacy-first Document Scanner Web App combining efficient processing with robust data-privacy safeguards.
2024 IEEE 21st International Conference on Mobile Ad-Hoc and Smart Systems (MASS), Seoul, South Korea
Investigates urban traffic congestion and inefficiencies in traditional traffic management systems. Uses YOLOv8s deep learning for real-time detection of cars, two-wheelers, autos, buses, and trucks. Achieves 80% precision for cars and mAP@0.5 of 85.8%. Discusses integration with adaptive traffic light control to enhance traffic flow and urban safety.
International Research Journal of Engineering and Technology (IRJET), 10(8), 219–225
Explores the ability of deep learning to learn complex relationships between spatial and temporal dimensions. Evaluates deep learning methods applied to tasks in spatio-temporal analytics — transportation, social media event detection, environmental monitoring, human mobility prediction, action recognition, and related domains.