Aditya Dixit

Overview of gained experience

Visiting Researcher

FAB LAB, Texmin, Indian Institute of Technology Dhanbad

Supervisor: Dr. Saurabh Srivastava

Duration: Sep. 2025 - Jan. 2026

Conducted a literature meta-analysis and systematic filtering of mining industry effluents relevant to the Dhanbad region, Jharkhand, India..
Collected and curated a hyperspectral dataset of mining-related chemical compounds across varying molarity levels for contamination analysis.

Research Visit 1

Research Visit 2

Research Assistant

GIS and Remote Sensing Center, University of Sharjah

Supervisor: Prof. Abdallah Shanbleh and Prof. Rami-Al-Ruzouq

Duration: Oct. 2024 - Dec. 2024

Worked on improving semantic segmentation techniques for remote sensing datasets, focusing on enhancing model accuracy and robustness.
Developed a deep learning-based approach to refine segmentation outputs, leveraging advanced feature extraction and context-aware learning.

Senior Research Fellow

Deep Intelligence Lab (DIL), Indian Institute of Technology Indore

Supervisor: Dr. Puneet Gupta

Duration: Feb. 2022 - Feb. 2024

Worked on an Indian Space Research Organisation (ISRO)-sponsored project focused on exploring various operations on Hyperspectral Images (HSIs).
Implemented a spatial-spectral attention-based solution for HSI denoising. Additionally, developed a supervised contrastive learning-based approach for HSI denoising.

Junior Research Fellow

Deep Intelligence Lab (DIL), Indian Institute of Technology Indore

Supervisor: Dr. Puneet Gupta

Duration: Feb. 2022 - Feb. 2024

Worked on an Indian Space Research Organisation (ISRO)-sponsored project focused on exploring various operations on Hyperspectral Images (HSIs).
Implemented a solution for denoising HSIs using a novel 3D UNet-based Vision Transformer architecture, achieving state-of-the-art PSNR/SSIM metrics.

Project Associate

Theoretical Computer Science Lab, Indian Institute of Technology Madras

Supervisor: Prof. N.S. Narayanaswamy

Duration: Apr. 2021 - Feb. 2022

Developed a distributed crawler to extract relevant data from any given web link.
Tested the efficacy of our crawler against the IIT Madras website and the JEE Mains portal.
Utilized Kafka, Zookeeper, Redis, and Crawler during the development process.