About me
I am pursuing M.Sc.(Computer Vision & AI) at Yeungnam University (YU) as GKS/KGSP Scholar, funded by Global Korea Scholarship (GKS), NIIED & National Research Foundation of Korea (NRF). I joined the Advanced Visual Intelligence Lab under the supervision of Prof. Sungho Kim .
My current research interests lie primarily in Computer Vision, 3D Pose Estimation, 3D Object Detection, Pattern Recognition, Deep Learning, Multi Modalities, LLM, Autonomous Vehicles, Humanoid Robot Vision and Generative AI applications.
Prior to joining YU MS degree, I have completed 1 year Korean Language & Literature degree by KLI,YU & achieved Intermediate level in Korean Language, under the GKS program. As well, I worked 1 year in WCSP Lab as a full time Research Assistant at National Tsing Hua University,Taiwan. I conducted research on ML and Privacy Preserving and helped the supervisor, lab members in the research works. And so, I obtained my B. Tech degree as SII Scholar from the School of Electronics Engineering, Major of Electronics and Electrical Engineering , Kalinga Institute Of Industrial Technology (KIIT) where I conducted research in Image Processing & Machine Learning under the supervision of Prof. Jitendra Kumar Das . I also had the opportunity to work as a machine learning intern at IIT, Roorke, where I focused on developing image processing and feature extraction algorithms for biomedical signals.
Featured Publications
Improvement of Denoising in Images Using Generic Image Denoising Network (GID Net) Md Selim Sarowar, Koustav Dutta and Rasmita LenkaIEEE 2nd International Conference on Applied Electromagnetics, Signal Processing, & Communication (AESPC), 2022 IEEE Xplore | PDF |
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Updates
I have started 1 year training on Korean Language & Literature under GKS program at Yeungnam University (YU), South Korea.
I joined as Research Assistant at National Tsing Hua University, Taiwan.
I've completed B. Tech with distinction & received convocation from KIIT, India.
Our research paper, "Improvement of Denoising in Images Using Generic Image Denoising Network (GID Net)", has been published by IEEE 2nd International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC).