Ripon Saha

Ripon Saha is currently a Ph.D. student specializing in Computer Vision, Machine Learning, and Computational Photography at Arizona State University's Imaging Lyceum Lab. His primary research focus involves designing a physics-based deep learning model for the restoration of dynamic scenes impacted by atmospheric turbulence.

Prior to his doctoral studies, Ripon worked as a Machine Learning and computer vision researcher at the NeuroPhotonics lab GIST during his MS program. His thesis work centered on developing a multimodal architecture to automate the assessment of infrared images for detecting and segmenting the eye gland area, generating ophthalmologist-quality assessment scores (Meiboscore), and eliminating specular reflections. He also released a dataset comprising 1000 images. The model he used included an Encoder-Decoder Structure, Resnet50, and GAN implemented in Pytorch.

Ripon completed his undergraduate degree in Computer Science & Engineering in Bangladesh, where he gained proficiency in C++, Python, Web design, Java, and iOS app development with Swift. He actively participated in various national and regional onsite and online programming contests and hackathons during his undergraduate years.

His educational background includes a Doctor of Philosophy (Ph.D.) in Computer Engineering from Arizona State University, a Master of Science (MS) in Machine Learning, Computer Vision, and Neuroscience from the Gwangju Institute of Science and Technology, and a Bachelor's Degree in Computer Science & Engineering from Jashore University of Science and Technology.

Ripon has held roles as a Graduate Research Assistant at the Imaging Lyceum Lab focusing on Computer Vision at Arizona State University and previously worked as a Research Assistant at Alphacore Inc.