Shoaib Azam

Postdoctoral Researcher
Postdoctoral Researcher
T410 Dept. Electrical Engineering and Automation

Shoaib Azam received a B.S. degree in Engineering Sciences from Ghulam Ishaq Khan Institute of Science and Technology, Pakistan, in 2010, and an M.S. degree in Robotics and Intelligent Machine Engineering from National University of Science and Technology, Pakistan, in 2015. He received his Ph.D. from Gwangju Institute of Science and Technology, Gwangju, South Korea, in 2021. In his Ph.D., he worked on the system, design, and experimental validation of autonomous vehicle in an unconstrained environment. Later, as a postdoctoral researcher, he joined Machine Learning Vision Lab, Gwangju Institute of Science and Technology, South Korea, led by Prof.Moongu Jeon, where he worked on developing end-to-end solutions using deep learning for autonomous driving and robotics. Currently, he is a postdoctoral researcher associated with Finnish Center for Artificial Intelligence and Intelligent Robotics Research Group led by Prof. Ville Kyrki at Aalto University, Finland. His research interests include deep learning, autonomous driving, sensorimotor, and representation learning.

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Areas of expertise

Deep learning, Representation Learning, Autonomous systems, Sensorimotor Learning, Imitation Learning

Research groups

  • Intelligent Robotics, Postdoctoral Researcher


Multi-Task Adaptive Gating Network for Trajectory Distilled Control Prediction

Shoaib Azam, Ville Kyrki 2024 IEEE Robotics and Automation Letters

Exploring Large Language Models for Trajectory Prediction: A Technical Perspective

Farzeen Munir, Tsvetomila Mihaylova, Shoaib Azam, Tomasz Piotr Kucner, Ville Kyrki 2024 HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction

Radar-Lidar Fusion for Object Detection by Designing Effective Convolution Networks

Farzeen Munir, Shoaib Azam, Tomasz Kucner, Ville Kyrki, Moongu Jeon 2024 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023

Multimodal fusion for sensorimotor control in steering angle prediction

Farzeen Munir, Shoaib Azam, Kin-Choong Yow, Byung-Geun Lee, Moongu Jeon 2023 Engineering Applications of Artificial Intelligence

ARTSeg: Employing Attention for Thermal Images Semantic Segmentation

Farzeen Munir, Shoaib Azam, Unse Fatima, Moongu Jeon 2022 Asian Conference on Pattern Recognition

Exploring thermal images for object detection in underexposure regions for autonomous driving

Farzeen Munir, Shoaib Azam, Muhammad Aasim Rafique, Ahmad Muqeem Sheri, Moongu Jeon, Witold Pedrycz 2022 Applied Soft Computing Journal

LDNet : End-to-End Lane Marking Detection Approach Using a Dynamic Vision Sensor

Farzeen Munir, Shoaib Azam, Moongu Jeon, Byung-Geun Lee, Witold Pedrycz 2022 IEEE Transactions on Intelligent Transportation Systems

Channel boosting feature ensemble for radar-based object detection

Shoaib Azam, Farzeen Munir, Moongu Jeon 2021 2021 32nd Ieee Intelligent Vehicles Symposium (iv)

EMGNet: Driver’s Intent Prediction using Neurosignals

Shoaib Azam, Farzeen Munir, Unse Fatima, Moongu Jeon 2021 제어로봇시스템학회 국내학술대회 논문집

N2C: neural network controller design using behavioral cloning

Shoaib Azam, Farzeen Munir, Muhammad Aasim Rafique, Ahmad Muqeem Sheri, Muhammad Isfaq Hussain, Moongu Jeon 2021 IEEE Transactions on Intelligent Transportation Systems