Dr. Arvind Mukundan
Dean of Research and Development | Top 1000 Scholar 2026 in Spectroscopy Techniques
Sanjivani Group of Institutes, India
Honorary Research Fellow, Shinawatra University
Visiting Professor, SR University
About
Dr. Arvind Mukundan is an internationally acclaimed multidisciplinary researcher, Dean of Research and Development at Sanjivani Group of Institutes, Honorary Research Fellow at Shinawatra University, and Visiting Professor at SR University. He has been recognized among the World's Top 2% Scientists (2024–2026) by Stanford University and among the Top 1000 Scholars (2026) by Scholarly Index (World Rank #465, Taiwan Rank #3 in Spectroscopy Techniques), for his outstanding scholarly contributions in the fields of hyperspectral imaging, biomedical optics, artificial intelligence, and aerospace engineering. His pioneering work focuses on developing advanced imaging algorithms and integrating optical sensing with deep learning to revolutionize non-invasive disease diagnosis, environmental surveillance, and counterfeit detection systems. With over 2,200 citations and an h-index of 26, Dr. Mukundan has published 93 journal articles, 19 conference papers, holds 4 patents, and has authored 1 edited book.
Education
Experience
Research
Key Projects
Developed portable and low-cost hyperspectral imaging module for detecting and classifying counterfeit currency and holograms. Created comprehensive system integrating snapshot-based HSI with Python-based Windows application for real-time authentication.
Developed large-scale, low-cost solution for detecting air and water pollution using hyperspectral imaging combined with deep learning. System estimates PM2.5 and PM10 concentrations from aerial images using visible and near-infrared HSI technology.
Designed lab-on-chip MoS2/Cu2O PN heterojunction biosensor for rapid cancer cell detection. Studied growth mechanisms and optical characteristics using Transmission Electron Microscopy, enabling detection through impedance and photoelectrochemical response.
Developed Spectrum Aided Vision Enhancer (SAVE) and Computer-Aided Diagnosis (CAD) system for early cancer detection. Integrated band-selective HSI with deep learning models (CNN, YOLO, SSD, ResNet) for identifying esophageal, skin, and bladder cancers.
Achievements & Awards
Top 2% Scientist of the Year
2024, 2025 & 2026Stanford University
Ranked 1342 out of 120,816 authors in Optoelectronics & Photonics for contributions in hyperspectral imaging and biomedical optics
Top 1000 Scholar 2026 – World Rank #465
2026Scholarly Index
World Rank #465 and Taiwan National Rank #3 in Spectroscopy Techniques in Biomedical and Chemical Research (2021–2025), impact score 87.94
InSc Young Researcher Award
2023InSc Institute of Scholars
For outstanding research contributions in biomedical imaging
TCUS Young Scholars' Innovative R&D Award
Nov 2022Taiwan Comprehensive University System
Recognized for innovative research and development in hyperspectral imaging applications
Best Oral Presentation
July 2022ICMAEE 2022 Conference
Outstanding presentation at International Conference on Mechanical, Aerospace and Environmental Engineering
Winner - Sustainable Space Logistics Essay Competition
Jan 2020Swiss Federal Institute of Technology Lausanne
First place in international space sustainability competition
Finalist - Mars City State Design Contest
Oct 2019Mars Society Convention, USC
Finalist in international Mars habitat design competition
Contact
Phone
Address
Sanjivani University, Sanjivani Factory, Singnapur, Kopargaon, Maharashtra 423603, India
