Summary
Dr. Muhammad Sohaib Younis is a Machine Learning Researcher with a Ph.D. in Deep Learning from the University of Marburg. He specializes in deep learning for object recognition and detection, with a focus on plant and insect imagery. Dr. Muhammad Sohaib Younis has over five years of experience as a Research Assistant at the University of Marburg and the Senckenberg Biodiversity and Climate Research Centre. His current research interests include Continual Learning and Generative AI.
Academic Background
PhD
(Deep Learning) Phillips-Universität Marburg
April 01, 2018 - April 19, 2024
Honours and Awards
Publications
Nature 4.0: A networked sensor system for integrated biodiversity monitoring
December 14, 2023
Global Change Biology - Volume 30, Issue 1, Article Number e17056
Towards reliable estimates of abundance trends using automated non-lethal moth traps
September 01, 2023
Insect Conservation and Diversity - Volume 16, Issue 5, Pages 539-549
Detection and annotation of plant organs from digitised herbarium scans using deep learning
December 10, 2020
Biodiversity Data Journal - Volume:8, Page:1-18
Taxon and trait recognition from digitized herbarium specimens using deep convolutional neural networks
October 02, 2018
Botany Letters - Volume 165, Issue 3-4, Pages 377-383
Research Assistant
Phillips-Universität Marburg
March 01, 2021 - December 31, 2022
Research Assistant
Senckenberg Biodiversity and Climate Research Centre
July 15, 2017 - October 15, 2020