Introduction

I am a Senior Research Engineer at Samsung Research America (SRA).  I have done Ph.D. in  Electrical and Computer Engineering from University of California, Santa Barbara, under the supervision of  Prof B.S. Manjunath.  I got my bachelor's degree in Electrical Engineering from Indian Institute of Technology (IIT), Jodhpur in 2015.  I have worked as a Scientist B from 2015-2018 in Research Center Imarat, Defense Research and Development Organization (DRDO).  

Research Interests:

• Machine Learning, Deep Learning, Generative Models

• Image Processing and Computer Vision

• AI for Science

Internships

• Samsung Research America, Plano, TX   (Summer'22)
  Research Intern,  Computational Camera Team, Mobile Processor Innovation (MPI) Lab
  Mentors: Dr. Seok-Jun Lee, Dr. Hamid R. Sheikh

       Project: Efficient Single Image Super-resolution for  Samsung Smartphone Cameras (Patent in progress) 

• • Designed an efficient single image super-resolution deep learning framework for Samsung smartphone camera.  

• Samsung Research America, Plano, TX    (Summer'21)
  Research Intern,  Computational Camera Team, Mobile Processor Innovation (MPI) Lab
  Mentors: Dr. Seok-Jun Lee, Dr. Hamid Sheikh
  
  Project: AI-Based  Image Sharpening (Patent in progress)

  •  Designed an efficient deep learning framework to improve the night photography of Samsung smartphone camera.     
    
    

• Jacobs University, Bremen, Germany   (Summer'14)
  Research Intern (DAAD-WISE Scholar),  Transmission Systems Lab
  Mentors: Prof. Dr. -Ing. Werner Henkel, Dr. Khodr Saaifan
  
  Project: Impulse Noise Detection in Cooperative Communication

  • Worked on 5G Cooperative Communication. Implemented ML/MAP estimation algorithms to find the effects of impulse on wireless received signals. 

Publications/Patents

Devendra K. Jangid, Neal R. Brodnik,  Michael G. Goebel, Amil Khan, SaiSidharth Majeti, McLean P. Echlin, Samantha H. Daly, Tresa M. Pollock, B.S. Manjunath, "Adaptable Physics-Based Super-Resolution for Electron Backscatter Diffraction Maps", Nature Publication Journal, Computational Materials 2022
[Paper] [Code] [Bisque Module] [Poster]

Devendra K. Jangid, Neal R. Brodnik, McLean P. Echlin, Tresa M. Pollock,  Samantha H. Daly, B.S. Manjunath "Q-RBSA: High-Resolution 3D EBSD Map Generation Using An Efficient Quaternion Transformer Network",Nature Publication Journal, Computational Materials 2024
[Paper] [Code] [Bisque Module]

Devendra K. Jangid,  Neal R. Brodnik, McLean P. Echlin, Samantha H. Daly, Tresa M. Pollock, B.S. Manjunath, "Titanium 3D Microstructure for Physics-based Generative Models: A Dataset and Primer", SynS and ML Workshop, International Conference on Machine Learning , 2023 (Best Paper Award and Spotlight Presentation)
[Paper] [Poster] [Presentation]

Devendra K. Jangid, Neal R. Brodnik, Amil Khan, Michael G. Goebel, McLean P. Echlin, Tresa M. Pollock, Samantha H. Daly, B.S. Manjunath "3D Grain Shape Generation in Polycrystals Using Generative Adversarial Networks", Integrating Materials and Manufacturing Innovation 2022
[Paper] 

Devendra K. Jangid, Neal R. Brodnik, Amil Khan, Michael G. Goebel, McLean P. Echlin, Tresa M. Pollock, Samantha H. Daly, B.S. Manjunath, "3DMaterialGAN:  Learning 3D Shape Representation from Latent Space for Materials Science Applications", arXiv 2020
[Paper]

Devendra K. Jangid, B.S. Manjunath, "Enhancing Materials Microstructure Analysis with Physics-Informed Computer Vision", 2024
[Thesis]

Devendra K. Jangid, Seok-Jun Lee, Hamid R. Sheikh, "Machine learning-based approaches for synthetic training data generation and image sharpening, US Patent 2022
[Patent]

Devendra K. Jangid, Abhiram Gnanasambandam, John, Seok-Jun Lee, Hamid R. Sheikh, "Efficient Single Image Super-resolution for Smartphone Camera", US Patent 2022 (Under Review)

Projects

Please Check Projects Page for Details

Honors and Awards

• Received DAAD-WISE (German Academic Exchange Service) Scholarship from the German Federal government for a summer internship in 2014

• Appointed to SCIENTIST post by President of India to work in Defense Research and Development Organization (DRDO), India in 2015

• Best Paper Award in Synergy of Scientific Modeling and Machine Learning  Workshop at ICML 2023

• Outstanding Teaching Assistant award from ECE department of UC, Santa Barbara in 2019 

• Received Fellowship from ECE department, UC, Santa Barbara for Fall 2018

• Received ECE Dissertation Fellowship for Summer 2023

• Received Doctoral Travel Grant from UCSB to attend ICML'23 Conference

• Merit cum Means (MCM) scholarship for 4 years (2011-2015) in undergraduate at IIT, Jodhpur

Technical Skills

• Programming Language:  Proficient in Python, Experience in  C++, C, and Bash

• Packages:  Proficient in PyTorch, NumPy,  Sci-Kit, and Latex,  Experience in TensorFlow 

• Platform:  Proficient in Linux  and Windows,  Experience in Docker

• Version Control System: Proficient in Git

Teaching Assistant

Conducted lectures and tutorials: 

• Introduction to Deep Learning, Digital Communication, Introduction to ECE, Probability and Statistics 

Relevant Course Works

• Introduction to Deep Learning (A+),  Advanced Computer Vision, Digital Image Processing,  Pattern Recognition, Theoretical Machine Learning,  Optimal Estimation and Filtering (A+) , Matrix Analysis and Computation,  Information Theory