Physical Super Intelligence & Agentic Robotics
Embodied agents that plan and act in latent world models for robot manipulation, bridging perception, reasoning, and control toward physical super intelligence.
Md Selim Sarowar
M.Sc. Student · 3D Computer Vision & Physical Super Intelligence · Advanced Visual Intelligence LabOpen to research collaborations & PhD opportunities Get in touch
World Models
Joint Embedding Predictive Architecture (H/V-JEPA)
Causal Learning
Spatial Intelligence
Self Modeling
VLAs
Agentic Robotics
RL Fine-Tuning
5D Embodied and Humanoid Super Intelligence
About
I am pursuing an M.Sc. in Computer Vision & AI at Yeungnam University (YU), where I am maintaining a perfect CGPA of 4.5/4.5 (Ranked 1st / Top 1). I am a Global Korea Scholarship (GKS) scholar funded by NIIED, with additional support from the RLRC & RISE industry-collaboration projects. I am a member of the Advanced Visual Intelligence Lab, supervised by Prof. Sungho Kim.
My research focuses on 3D computer vision & spatial intelligence, 6D pose estimation, vision-language-action (VLA) models, world models, and agentic robotics for robot manipulation. I aim to build embodied agents capable of perceiving, reasoning, and acting within the physical world, working toward physical super intelligence. My contributions in these areas include first-author publications at BMVC'26 and in IEEE Access (SCIE-Q1).
Before joining YU, I completed a one-year Korean Language & Literature program at KLI under the GKS program, and spent a year as a full-time Research Assistant in the WCSP Lab at National Tsing Hua University, Taiwan. I earned my B.Tech (Electronics & Electrical Engineering) as an SII Scholar from the Kalinga Institute of Industrial Technology (KIIT), and interned at IIT Roorkee on image processing for biomedical signals.
Updates
World University Rankings — Top 400
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Research Highlights
3D Vision & 6D Pose Estimation
Recovering full object pose and geometry from images and point clouds for spatially-grounded, robust scene understanding.
Perception & Representation Learning
Learning transferable visual representations, from image denoising and autoencoders to point-cloud understanding for downstream 3D tasks.
Awards & Honors
Global Korea Scholarship (GKS/KGSP)
Sept 2024 - Aug 2027- The most prestigious fellowship to pursue a 1-year language program & 2-year research M.Sc., including full tuition, monthly allowance, airfare, health insurance, and research incentives.
Bangladesh Sweden Trust Fund (BSTF) Travel Grant - 2024
- Awarded for research internship in Taiwan (one-way flight ticket).
NTHU International Graduate Students Assistantship
- The highest award offered to National Tsing Hua University (NTHU) international students.
Study In India Government Scholarship
June 2019 - June 2023- Awarded for Undergraduate (B.Tech) degree in India with full funding.
KIIT University International Scholarship Program (KUISP)
Aug 2019 - June 2023- Awarded for Academic Excellence.
Meritorious Scholarship in Secondary School Certificate
Nov 2016 - June 2018- Awarded for Academic Excellence.
Appointed as Honorary Young Diplomat
- Awarded for promoting Korean cultures and simultaneously engaging with international professionals for the social well-being of Jeju Island.
National Youth Inspiration Award - 2017
Nov 2017- Awarded in the Youth Leadership and Connectivity Category.
Professional Activities
2024 Taiwan Telecommunications Annual Conference
An International Symposium on Emerging Trends in Deep Learning and Data Analytics (ET-DLDA' 22)
An International Seminar on "Primary Aspects Of Academic Writing" by Former Professor Dr. B.N. Basu
International Faculty Development Program on Qualitative & Quantitative Research Design
Python Programming Essentials Bootcamp
International Conference on Applied Electromagnetics, Signal Processing & Communication By IEEE
International Virtual Conference on Advances in Functional Materials
Featured Publications
@inproceedings{Sarowar_2026_BMVC,
author = {Md Selim Sarowar and Md Tanvir Islam and Sungho Kim and Sangtae Ahn},
title = {GaussVLA: Geometry-Aware Spatial Reasoning for Vision-Language-Action Model},
booktitle = {37th British Machine Vision Conference 2026, {BMVC} 2026, Lancaster, UK, November 23-26, 2026},
publisher = {BMVA},
year = {2026},
url = {https://bmva-archive.org.uk/bmvc/2026/assets/papers/Paper_121/paper.pdf}
}
@ARTICLE{11400555,
author={Sarowar, Md Selim and Alnaasan, Manar and Kim, Sungho},
journal={IEEE Access},
title={C3G-VM6D: Data-Efficient C3G Vision Model Aided 6D Pose Estimation Based on RGB-D Data},
year={2026},
volume={14},
number={},
pages={34223-34238},
keywords={Pose estimation;Transformers;Point cloud compression;Three-dimensional displays;Probabilistic logic;Training;Visualization;Uncertainty;Foundation models;Feature extraction;Vision foundation model;cross-modal fusion;compact 3D Gaussian (C3G);vision transformer (ViT);6D object pose estimation;3D point cloud},
doi={10.1109/ACCESS.2026.3666439}}
* Corresponding authorAll publications