MANISH SHARMA
Computer Vision and Deep Learning Researcher | Data Scientist | Physicist
Introduction
I am a Ph.D. candidate at the Chester F. Carlson Center for Imaging Science (CIS) at Rochester Institute of Technology (RIT), NY, USA. Currently, I am working as a graduate research assistant at RIT with Dr. Eli Saber.
Prior to joining RIT, I worked as a Data Scientist at Climate Connect Technologies for about 2 years. I worked there on diverse domains ranging from forecasting solar irradiance & power, wind power, and electricity load to algorithmic energy trading.
Education:
Ph.D. Imaging Science, Rochester Institute of Technology (RIT), August 2018 - Present.
M.S. Physics, Indian Institute of Technology (IIT), Delhi, India, June 2016.
B.Sc. Physics, University of Delhi, India, June 2014.
Research Interests:
My research aims to explore multi-modal data fusion methods for object detection, tracking, and activity recognition in aerial data for remote sensing. We work primarily with RGB, Infrared (IR), Light Detection and Ranging (LiDAR), Multi-spectral, Hyper-spectral, and Synthetic Aperture Radar (SAR) data to extract useful insights. My research areas include:
Adaptive rank determination for lightweight tensorized neural networks for mobile/edge applications.
Cross-modal prior knowledge sharing strategy to reduce hypothesis space for multimodal domain adaptation.
Progressive/incremental representation learning on streaming data for image reconstruction and denoising.
Tensor factorization/modelling of convolutional kernels for network compression, optimization, and speed-up.
Limited multi-modal data fusion of unpaired unimodal legacy networks for classification.
Optimized CNN for detection of small oriented objects for remote sensing applications.
Multi-modal data fusion for aerial perception (classification, detection, and segmentation).