Shoaib Azam

Postdoctoral Research @ Aalto University & FCAI

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About me:

I am passionate about fostering innovation in autonomous driving and robotics, aiming to tackle the intricate, long-tail challenges of end-to-end autonomy by leveraging deep learning and generative modeling techniques.

Currently, I am a postdoctoral researcher associated with the Finnish Center for Artificial Intelligence and the Intelligent Robotics Research Group at Aalto University, Finland, focusing on developing data-driven traffic simulations for autonomous driving and safety of autonomous driving.

Before joining the Intelligent Robotics Research Group at Aalto University, I served as a postdoctoral researcher at the Machine Learning Vision Lab, Gwangju Institute of Science and Technology (GIST) in South Korea, where I also completed my Ph.D. During my tenure at GIST, I was deeply involved in the Autonomous Vehicle project, focusing on developing an autonomous vehicle platform based on a Kia Soul EV. My contributions covered the entire spectrum of autonomous vehicle technology, from perception to control modules, leading to publications in international peer-reviewed conferences and journals.

My research interests include deep learning, autonomous driving, sensorimotor learning, representation learning, and generative AI.


news

Apr 5, 2024 Our paper Multi-Task Adaptive Gating Network for Trajectory Distilled Control Prediction is accepted to IEEE Robotics and Automation Letters (IF: 5.2).
Mar 11, 2024 Our paper Exploring Large Language Models for Trajectory Prediction: A Technical Perspective is accepted to ACM/IEEE International Conference on Human-Robot Interaction, Colorado, United States.
Feb 21, 2024 Our paper Challenges of Data-Driven Simulation of Diverse and Consistent Human Driving Behaviors is accepted to AAAI 2024 Workshop in Collaborative AI and Modeling of Humans (CAIHu), Vancouver, Canada.
Jan 15, 2024 Our workshop SAFE-DRIVE: Data-Driven Simulations and Multi-Agent Interactions for Autonomous Vehicle Safety has been officially accepted at IEEE Intelligent Vehicles Symposium, Jeju, South Korea.
Sep 24, 2023 Our paper Radar-Lidar Fusion for Object Detection by Designing Effective Convolution Networks is accepted to IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain.
Aug 29, 2023 Our paper Multimodal fusion for sensorimotor control in steering angle prediction is accepted to Engineering Applications of Artificial Intelligence (IF: 8.00).
Mar 24, 2022 Our paper Exploring Thermal Images for Object Detection in Underexposure Regions for Autonomous Driving is accepted to Applied Soft Computing (IF: 6.725).