My PhD research on reservation-based semi-flexible bus system for underutilized routes (published in Transportation Science) got featured in the university news!
Attended the TRANSform conference by Amercian Public Transportation Association (APTA) in Anaheim, CA. This was a great event to get introduced with the current trends in the public transport industries. Received American Public Transportation Foundation (APTF) scholarship!
Presented my research work on multi-task learning for spatio-temporal forecasting of ride-hailing services at the 103rd TRB annual meeting in Washington DC. This was a great learning experience!
Participated in the online AI Summer School (https://project.inria.fr/paiss/) organized by the AI institutes MIAI (Université Grenoble-Alpes) and PR[AI]RIE, NAVER LABS Europe, and Inria. Great learning experience from renowned researchers around the world!
Team Transportist secured 9th place in the final round of DhakaAI 2020 traffic detection challenge (https://dhaka-ai.com/leaderboard2) funded by Elsevier. Our solution (https://github.com/hisham32/DhakaAI-yolov5) incorporated hyperparameter evolution for different configurations of YOLOv5 models.
Project: Developing Multi-task Learning Models for Short-term Forecasting in Taxi and Ride-hailing System (2019-2021)
Role: Principle Investigator
Value: Tk 430,000 ($5000)
Our work titled "Comparative Analysis between Observed and Predicted Pedestrian Risk Exposure: A Method to Evaluate the Risk of Pedestrian Crossing Environment at Intersections" was presented at 12th GEST conference and awarded for best paper presentation.
