Ankit Gupta
Biography
Ankit Gupta is a PhD student (Informatics Engineering) at the University of Madeira. He completed a Master of Technology in Computer Science and Engineering from Maharishi Markandeshwar University and a Bachelor of Technology in Bioinformatics from Jaypee University of Information Technology, India.
He is currently working on devising methods for non-contact physiological parameter estimations. His research interests include Dimensionality reduction, Deep Learning, Remote Photoplethysmography, and computer vision.
Related Projects
Publications
2023
Non-Destructive Banana Ripeness Detection Using Shallow and Deep Learning: A Systematic Review Journal Article
In: Sensors, vol. 23, no. 2, pp. 738, 2023.
A-phase index: an alternative view for sleep stability analysis based on automatic detection of the A-phases from the cyclic alternating pattern Journal Article
In: Sleep, vol. 46, no. 1, pp. zsac217, 2023.
Visual Explanations of Deep Learning Architectures in Predicting Cyclic Alternating Patterns Using Wavelet Transforms Journal Article
In: Electronics, vol. 12, no. 13, pp. 2954, 2023.
2022
Availability and performance of face based non-contact methods for heart rate and oxygen saturation estimations: A systematic review Journal Article
In: Comput. Methods Programs Biomed., vol. 219, pp. 106771, 2022.
A Motion and Illumination Resistant Non-Contact Method Using Undercomplete Independent Component Analysis and Levenberg-Marquardt Algorithm Journal Article
In: IEEE J. Biomed. Health Informatics, vol. 26, no. 10, pp. 4837–4848, 2022.
An empirical investigation of market risk, dependence structure, and portfolio management between green bonds and international financial markets Journal Article
In: Journal of Cleaner Production, vol. 365, pp. 132666, 2022.
2021
Solving image processing critical problems using machine learning Journal Article
In: Machine Learning for Intelligent Multimedia Analytics: Techniques and Applications, pp. 213–248, 2021.
Prediction of Alzheimer associated proteins (PAAP): A perspective to understand Alzheimer disease for therapeutic design Journal Article
In: International Journal of Bioinformatics Research and Applications, vol. 17, no. 4, pp. 363–374, 2021.
2020
Multiple machine learning models for detection of Alzheimer’s disease using OASIS dataset Proceedings Article
In: Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation: IFIP WG 8.6 International Conference on Transfer and Diffusion of IT, TDIT 2020, Tiruchirappalli, India, December 18–19, 2020, Proceedings, Part I, pp. 614–622, Springer International Publishing 2020.
2019
Mobile health applications and android toolkit for alzheimer patients, caregivers and doctors Proceedings Article
In: Biological Forum–An International Journal, pp. 199–205, 2019.