Muhammad Atta ur Rahman
M
Muhammad Atta ur Rahman
Associate Research Engineer, SWM, South Korea

I am an Associate Research Engineer at SW Mobility (SWM), specializing in the design and development of computationally efficient and robust trajectory prediction and motion planning frameworks for Autonomous Vehicles. My work focuses on advancing AI for Autonomous Driving, with expertise in trajectory prediction, multi-agent interaction modeling, and decision-making under uncertainty. Passionate about advancing research in Intelligent Autonomous Systems.

Research Interests

Intelligent Autonomous Systems
Autonomous Driving
Motion Forecasting & Planning
Robust Planning under Uncertainty

Career

Associate Research Engineer
Driving Planning AI Development Team, SWM, South Korea
Dec 2025 – Present
Graduate Student Researcher
Autonomous Driving Intelligence Research (ADIR) Team, Electronics and Telecommunications Research Institute (ETRI), South Korea
Sep 2023 – Sep 2025
Visiting Faculty
Department of Computer Science, Islamia College University Peshawar (ICP), Pakistan
Sep 2022 – Aug 2023
Research Assistant
Digital Image Processing Lab (DIP Lab) · ICP, Pakistan
Sep 2021 – Aug 2023

Education

MS Artificial Intelligence
UST-ETRI School · University of Science & Technology (UST), South Korea
Thesis: Efficient Trajectory Prediction via Interaction Pruning in Autonomous Driving Scenes
Sep 2023 – Aug 2025
BS Software Engineering
Islamia College University Peshawar, Pakistan
Thesis: Multimedia Data Integrity in IoT Visual Sensor Network Using Blockchain
Aug 2017 – Sep 2021

Projects

01 ARMSTRONG Platform: Developement of a real-time, and accurate learning-based Trajectory Prediction and Motion Planning frameworks for Level 4 Autonomous Driving, with a focus on edge-efficient, low-latency deployment. SWM · 2026
02 ARMSTRONG A50 Dataset Construction: End-to-End Motion Forecasting Dataset Development from Raw Multi-Modal Sensor Data with Benchmarking of State-of-the-Art and Custom Trajectory Prediction Models. SWM · 2026
03 ETRI Trejectory Prediction Challenge: End-to-End ETRI Trajectory Dataset Preprocessing and Benchmarking for the ETRI Trajectory Prediction Challenge. ETRI · 2025
04 Development of Reinforcement Learning-based automated driving AI software technology for optimal driving behavior decisions in hazardous situations on congested roads. ETRI · 2024–25
05 Development of Perception/Planning AI SW for Seamless Autonomous Driving in Adverse Weather and Unstructured Environments. ETRI · 2023–24

Publications

M. A. Rahman, D. Choi, and K. Min
LANet: A Lane Boundaries-Aware Approach for Robust Trajectory Prediction
17th IEEE International Conference on Advanced Computational Intelligence (ICACI) · Bath, UK · 2025
M. A. Rahman, D. Choi, S.-I. Lee, and K. Min
Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models
17th IEEE International Conference on Advanced Computational Intelligence (ICACI) · Bath, UK · 2025
M. A. Rahman, H. Jeongbin, D. Choi, and K. Min
Interaction Graph Pruning for Efficient and Robust Trajectory Prediction
Transactions of the Korean Society of Automotive Engineers · 2026
H. Jeongbin, D. Choi, M. A. Rahman, K. An, and K. Min
Regularizing Neural Networks for BEV Semantic Segmentation via Inter-class Hierarchy and Spatially-aware Weight Adjustment
16th International Conference on ICT Convergence (ICTC) · Jeju, South Korea · 2025

Awards & Achievements

2025
UST Outstanding Student Award University of Science & Technology (UST), South Korea
Merit Award
2025
UST International Presentation Support Program University of Science & Technology (UST), South Korea
Merit Award
2023
UST Master Scholarship University of Science & Technology (UST), South Korea
Merit Award
2021
Silver Medalist in Bachelors Islamia College University Peshawar
Merit Award
2021
Section Topper in Bachelors Islamia College University Peshawar
Merit Award
2020
Ehsaas Undergraduate Scholarship Islamia College University Peshawar
Merit Award