Shoaib Azam
Postdoctoral Research @ Aalto University & FCAI
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). |
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| 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). |