Armin Anwar

Armin Anwar

PhD Candidate / Remote Sensing in Geo- and Ecosystem Research

Faculty of Physics and Earth System Sciences

I began my academic journey with a Bachelor’s and Master’s degree in ‘Botany’ from the ‘University of Dhaka, Bangladesh’. Driven by my passion for Environmental Science, I pursued a second Master’s degree at the ‘Institute of Biology and Ecology, University of Debrecen, Hungary’, graduating in July 2023. My studies were supported by the prestigious Stipendium Hungaricum Scholarship, a fully funded Hungarian government scholarship. During this time, I completed my thesis on heavy metal pollution in soil and leaves, exploring the environmental impacts of industrial contamination by analyzing samples from rural, industrial, and residential areas.

Currently, I am working on a Sub-Project ‘SP01: Plant Physiology’ of’The Jena Experiment’ which is a long-term ecological research project aimed at understanding the relationship between biodiversity and ecosystem functioning. Our sub-project aims to investigate how plant diversity influences hydrological and functional trait responses to extreme events like drought and heat waves, focusing on resistance, recovery, and stability mechanisms. By integrating insights from natural field conditions and controlled experimental setups, it seeks to link functional traits and canopy structure to biodiversity’s stabilizing effects under varying drought intensities.

Through my research, I hope to contribute to a better understanding of how biodiversity enhances ecosystem resilience in the face of environmental challenges. I am passionate about addressing global ecological issues, exploring plant-environment interactions, and leveraging innovative techniques like spectroscopy, machine learning, and radiative transfer modeling to advance the study of plant physiology and ecosystem functioning.

Interests
  • Functional Biodiversity and leaf spectroscopy.
  • Visualizing and analyzing terrestrial laser scanning data to study vegetation structure.
  • Investigating the impact of abiotic stress(i.e. drought and temperature) on plant communities and their resilience.
  • Using Machine Learning and Radiative Transfer Modeling to predict physiological traits of plants from spectral data.
  • Conducting spatio-temporal analyses of ecosystem functioning to understand how plant communities change across space and time.
Education
  • BSc. Botany, 2019

    University of Dhaka, Bangladesh

  • MSc. Botany, 2022

    University of Dhaka, Bangladesh

  • MSc. Environmental Science, 2023

    University of Debrecen, Hungary