Agneev Guin
PhD Candidate in Traffic Optimization | Researcher in Autonomous Systems
PhD Candidate in Traffic Optimization | Researcher in Autonomous Systems
I am a dedicated researcher with extensive experience in deep learning, computer vision, and robotics. My goal is to design intelligent and sustainable solutions for modern transportation systems, optimizing traffic flows through innovative AI algorithms.
In 2024, I started my career as a PhD student in the Department of Network Engineering under the guidance of Monica Aguilar Igartua. My research focuses on traffic optimization and developing scalable solutions for smart cities and mobility systems.
My professional journey includes significant contributions to autonomous vehicle research at Volkswagen and Scania. I am passionate about bridging the gap between academic research and real-world applications, ensuring innovation benefits society at scale.
Research Engineer - Volkswagen Group Innovation (2018 - Present)
Led multiple cross-functional projects focusing on the development of autonomous driving technologies. Implemented panoptic segmentation using PyTorch for object detection and enhanced vehicle perception systems. Collaborated with AI researchers and software teams to improve autonomous vehicle algorithms.
Development Engineer - Scania R&D (2017 - 2018)
Designed and implemented perception systems for autonomous trucks. Automated intrinsic and extrinsic calibration of LiDAR and camera sensors using OpenCV and ROS, ensuring seamless data synchronization and enhanced object recognition capabilities.
Master Thesis - Semantic segmentation for drivability detection in unstructured roads using deep learning (2017).
Internship - Integrated Transport Research Lab, KTH (2016)
Developed ROS-based interfaces for autonomous research vehicles and optimized communication systems for seamless sensor-data integration.
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