I work on multimodal Deep learning techniques with segmentation, classification, and GAN to assess eyelid (and get ophthalmologist grade accuracy). My second project determines the velocity of red blood cells from a single snapshot of an image from 2-photon optical setup based on physical property and ML+CV technique. I have also experienced/involved in different optical development projects, including diffraction Microscopy, confocal Microscopy, light sheet, and 2-photon Microscopy.
I completed the Bachelor degree in Computer Science and Engineering where I spent most of the time in competitive programming and built a solid platform in Algorithm & Data structure. In addition to academic curricular, I also learnt different programming language, web development, iOS app development, and machine learning.
Ripon Kumar Saha
Gwangju Institute of Science and Technology
Buk-gu, Gwangju, South Korea
+82 010-3141 2662
Master student with RA in Neurophotonics Lab• September 2018 - August 2020
My current lab mainly focuses on solving current outstanding problems using state-of-the-art neurophotonics technology. My work is based on computational image analysis based on biomedical images, and testing different ML algorithms, model optimization & developing new models.
B.S.C. Degree in Computer Science & Engineering • February 2012 - December 2016
For thesis, I designed real-time Earliest deadline first algorithm with Relatively Greater Power Efficiency and Low Deadline Miss Ratio. I have also Completed various projects including Bengali language speaker in C#, Assignment maker in C++, and OpenGL GUI game of bubble shooter.
Currently, my research interest includes ML-based computer vision, Computational Photography, Model Designing & Optimization, Stereo Vision & Bioinformatics. So, I'm representing relevant skill:-
My Achievement includes:
Mejor projects I have worked on:
I'm working on Deep Multimodal Learning with Resnet based Encode-Decoder architecture & GAN for image preprocessing. After testing, it's found that this model overcomes human label accuracy.Image segmentation, GAN, Machine Learning model
Initially, I collected a series of images with different focus points. Then I aligned those images with SHIFT(the project is not commercial), calculate depth-based focus measure and based on that computed all in-focus images.Computer Vision, Allignmetn, focus measurement
Using python package: "Beautiful Soup" I made a program to enter into website information of 25+ department and all universities to find deadlines for those universities provided by Yocket. I collected 2000+ cell containing University name, subject, official dept website & deadline of that faculty.Data Mining, information retrieval, Beautiful Soup
This project was focused on measuring different neural network model available today and find the best suited model for tabular format data. 12 data sheet was collected from kaggle and after running SVM, Attention Net, ResNet, CNN, Attention+Resnet with different learning rate, optimizer, loss function, decay, dropout, cross validation to find the best neural network. One hot encoding was used.Neural network, Evaluation, NLP, Model Optimization
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If you want to connect me, you can seme me an email here. If you want to connect me, you can seme me an email here. I'm open to new research/project ideas. I like to connect people interested in computer vision, deep learning, and computational photography. If you need any quick help/advice/consultation regarding your custom computer vision project, I'll be happy to provide guidance.