Boboev Muhammadjon
AI / Computer Vision Reaserch Engineer
Email: muhammad@unist.ac.kr (official), unistar20172010@gmail.com (personal)
Resume: Resume
Links: LinkedIn, Google Scholars
Visa Type: F-2
Boboev Muhammadjon
AI / Computer Vision Reaserch Engineer
Email: muhammad@unist.ac.kr (official), unistar20172010@gmail.com (personal)
Resume: Resume
Links: LinkedIn, Google Scholars
Visa Type: F-2
Hi, I'm Muhammadjon Boboev.
I'm an AI researcher and engineer with a passion for vision and perception systems. My journey started with a deep love for math — I was a Math Olympiad student in high school, earning a Bronze medal at the International Mathematical Olympiad (IMO) and a national Gold in Tajikistan.
I earned my B.S. in Computer Science and Mathematics from UNIST in 2021. After graduating, I interned at Mobilint as a Deep Learning Research Engineer and later worked at AR24.7 as a Computer Vision Engineer, developing LiDAR-based object detection systems for autonomous robots.
In 2022, I returned to UNIST for a Master's degree, where I focused on 6DoF vehicle pose estimation using language supervision. During this time, I published research at WACV and AAAI. Currently, I work at AKA AI as a Junior AI Researcher and Full Stack Engineer, building AI-powered audio systems and deploying scalable AI solutions.
M.S. at Computer Science and Engineering (CSE), Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea.
B.S. at Dept. of Computer Science and Engineering (CSE), UNIST, Ulsan, South Korea.
Sep. 2017 ~ Aug. 2021.
Yunseong Cho, Chanwoo Kim, Hoseong Cho, Yunhoe Ku, Eunseo Kim, Boboev Muhammadjon, Joonseok Lee, Seungryul Baek. RMFER: Semi-supervised Contrastive Learning for Facial Expression Recognition with Reaction Mashup Video. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
Elkhan Ismayilzada, Boboev Muhammadjon, Ji-hyun Kim, Jun-wook Cha, Mubarrat Chowdhury (UNIST), Joo-heon Hwang, Deok-hyeon Kim, Jin-woo Park (Hyundai Motor Company), Seung-ryeol Baek (UNIST). Automatic human mask generation algorithm using pose estimator and key object detector for efficient mask data collection. Summer Annual Conference of IEIE, 2023.
Seongyeong Lee, Hansoo Park, Dong Uk Kim, Jihyeon Kim, Boboev Muhammadjon, Seungryul Baek. Image-free domain generalization via clip for 3d hand pose estimation. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.
Boboev Muhammadjon, Siekny Hor, Eunseo Kim, Truong Nhat Nguyen Bao, Seungryul Baek "Multispectral Pedestrian Detection: A Literature Review", JKAIA, 2022.
Junior Full Stack Engineer / AI Researcher, at AKA AI, Seoul, South Korea.
Nov 2024 ~
Foley Audio Generation:
Researched and developed a deep learning-based API to generate realistic audio for silent videos.
AI-Powered Dubbing System:
Engineered a system that generates dubbed audio in a selected language given reference audio and text while preserving the speaker’s voice characteristics.
Additionally, I handle full-stack development tasks, ensuring seamless integration and deployment of AI-driven solutions.
Skills: FastAPI · AWS (S3 / EC2) · GitHub & CI/CD · Remote Model Deployment · Audio-AI Pipelines
Research Assistant, at UNIST UVLL, Ulsan, South Korea.
Sep 2022 ~ Aug 2024
Devised language-guided vehicle pose estimation that boosted keypoint and 6-DoF accuracy on ApolloCar3D using CLIP.
Developed a real-time RGB-T pedestrian detection model.
Collaborated with lab members by assisting in academic writing, and conference submissions and completion of multiple research papers and projects.
Skills: 6DoF Pose Estimation · Vision-Language Models (CLIP) · Conference writing & submission
Computer Vision Research Engineer, at AR24.7, Seongnam, Gyeonggi, South Korea.
Mar 2022 ~ Aug 2022
Developed small to medium-sized autonomous robotic vehicles. Collected and annotated 3D data from LiDAR sensors for object detection. Trained models to detect pedestrians and vehicles using LiDAR data.
Skills: LiDAR · Image Processing · 3D object detection · Computer Vision · 3D data
Deep Learning Engineer Intern at Mobilint, Seoul, South Korea.
Aug. 2021 ~ Dec. 2021.
Research, implement, and develop state-of-the-art deep learning models, theories, and technologies. Collaborate with HW/SW engineers to accelerate AI algorithms.
Skills: Deep Learning · Convolutional Neural Networks (CNN) · Generative Modeling
2022 CSE472 Computer Vision.
2023 ITP117 Introduction to AI Programming 1&2, Discrete Math, Theory of Computation.
Lotte International Student Scholarship for Outstanding Talents 2022
Bronze Medal, International Mathematical Olympiad, Brazil 2017 (IMO 2017)
Honorable Mention, International Mathematical Olympiad, Hong Kong 2016 (IMO 2016)
Gold Medal, Tajikistan National Math Olympiad 2017
Languages: Tajik (Native), English (Procient), Turkish (Intermediate), Russian (Intermediate), Korean (Beginner)