EEG Foundation Challenge

Cross-task transfer learning on large-scale EEG datasets for robust brain decoding.

Gaze-Adaptive AR Hazard Cueing in driving context

Real-time gaze-adaptive Augmented Reality (AR) system to cue drivers to unnoticed hazards in critical events.

TransAD: End-to-End Autonomous Driving

Developing novel approaches for end-to-end autonomous driving systems.

Developing CARLA for Human-in-the-Loop (HITL)

Framework for human-in-the-loop autonomous vehicle testing using CARLA simulator.

FSDAM: Vision-Language Model Based Driver Attention Modeling

Advanced driver attention prediction using vision-language models.

Integrating Raspberry Pi with CAN

Human In The Loop (HITL) framework by CARLA

Pedestrian detection using deep learning

L4 T2 (8th semester)
Technologies: Python, Google Colab

Traffic mode detection & tracking for Dhaka, Bangladesh

L4 T2 (8th semester)
Technologies: Python, Google Colab

Gulshan-1 intersection Simulation for CAPSTONE Project

L4 T1
Technologies: VISSIM Software

Traffic mode detection for Dhaka, Bangladesh

L4 T1 (7th semester)
Technologies: Python, Google Colab

Trip Tracker app for collecting user data [Funded by CASR]

L3 T2 (6th semester)
Technologies: Flutter, MongoDB