ESR 11

ESR 11
RaHul Singh Maharjan

BIO

Rahul is an early-stage researcher and Ph.D. student at the University of Manchester. He is currently interested in designing and deploying (multimodal) deep learning and reinforcement learning systems for life-long Human-robot interaction and social robots that can be adaptive and personalizable to help each end-user needs and traits.

Previously, He was a research engineer at a Korean startup where he designed and deployed Edge ML and DSP hardware and software systems for medical and industrial domains in collaboration with Samsung Electronics, Hyundai, and Hanyang University Hospital.

Before that, As KGSP Scholar, Rahul completed his MS in Electrical and Computer Engineering in 2020 from Sungkyunkwan University, South Korea, under the supervision of Prof. Juneho Yi at Computer Vision Lab. As graduate research assistant, Rahul's research was on the deep learning for image inpainting, where he developed object agnostic stacked Generative Adversarial Networks for facial images to remove occluding objects or damaged regions. In addition, Rahul remotely collaborated with Prof. Mark Billinghurst and Dr. Huidong Bai on deep learning based 3D scene segmentation for AR/VR applications.

Furthermore, Rahul received his Bachelor in Electronics and Communication Engineering in 2016 with a minor in data mining from Pokhara University, Nepal, where his final year bachelor project thesis explored robotic systems for the physically disabled.