top of page

Welcome to Forethought India One-on-One Courses. Our program is designed to provide students with the skills and knowledge necessary to excel in their chosen profession. Our instructor for this course is Researcher Pramit Saha at University of Oxford.


"Waves, Optics, and Beyond: Exploring Light and Beyond" is a comprehensive course that delves into the intricate world of light and wave phenomena. From the fundamental principles governing the behavior of waves to the intricate workings of optics, the course navigates through the diverse intricacies of light. It begins with an introduction to the properties of waves and the nature of light, leading students through topics such as reflection, refraction, and wave interference. As the course progresses, it explores complex concepts like wave-particle duality, quantum optics, and quantum information, uncovering the fascinating interplay between light and matter. Additionally, it covers advanced subjects like metamaterials, nanophotonics, and the cosmological implications of light, offering students a panoramic view of the dynamic and ever-evolving field of light technology and its broader applications. Through a blend of theoretical understanding and practical applications, students gain an in-depth comprehension of the role of light in modern science and technology, fostering a holistic perspective that transcends traditional boundaries.


At the end of the program, students will receive a certificate & performance letter by the eductor indicating that they have completed the program and acquired the necessary skills and knowledge to excel in their chosen profession.

Waves, Optics, and Beyond, by Pramit Saha at Oxford University

  • Pramit Saha is a 3rd year doctoral candidate in the Oxford Biomedical Image Analysis (BioMedIA) cluster, Department of Engineering Science, at the University of Oxford. He completed Master of Applied Science from the Electrical and Computer Engineering Department, University of British Columbia, Vancouver. His research interest centers around Deep Learning (particularly self-supervised/semi-supervised/federated/domain adaptation), Computer Vision, Medical Image Analysis, and Neural Motor Control.

bottom of page