Education
2025 – Present
Ph.D. Candidate in Bioclimatology
Georg-August-Universität Göttingen, Germany
Project: Climate stress impacts on forest emissions and aerosol pollution
Supervisor: Prof. Dr. Eva Pfannerstill, Prof. Dr. Alexander Knohl
2022-2024
M.Sc. in Tropical and International Forestry
Georg-August-Universität Göttingen, Germany
Thesis: Dey, B., Sjøgren, T. D., Khare, P., Gkatzelis, G. I., Wu, Y., Vasireddy, S., Schultz, M., Knohl, A., Rinnan, R., Hohaus, T., and Pfannerstill, E. Y.: Multi-stress interaction effects on BVOC emission fingerprints from Oak and Beech: A cross-investigation using Machine Learning and Positive Matrix Factorization, Biogeosciences, 23, 1423–1457, doi. Supervisor: Prof. Dr. Eva Pfannerstill, Prof. Dr. Alexander Knohl
2020-2023
M.Sc. in Forestry
Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh
Thesis: Dey, B.; Ahmed, R.; Ferdous, J.; Haque, M. M. U.; Khatun, R.; Hasan, F. E.; Uddin, S. N. Automated Plant Species Identification from the Stomata Images Using Deep Neural Network: A Study of Selected Mangrove and Freshwater Swamp Forest Tree Species of Bangladesh. Ecological Informatics 2023, 75, 102128, doi. Supervisor: Prof. Dr. Romel Ahmed
2015-2019
B.Sc. (Honours) in Forestry
Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh
Professional Experience
2024
Student Assistant
Forschungszentrum Jülich, Germany
Project: Biogenic emissions and air quality impacts
Technical experience: PTR-ToF-MS measurements, positive matrix factorization (PMF), machine learning-based data analysis
2023
Student Assistant – Forest Genetics & Tree Breeding
Forest Genetics and Forest Tree Breeding, Georg-August-Universität Göttingen, Germany
Responsibilities: DNA extraction and sequencing using Oxford Nanopore (MinION), microsatellite genotyping analysis. Supervisor: Dr. Katharina Birgit Budde
2018-2022
Research Assistant
Department of Forestry and Environmental Science, Shahjalal University of Science and Technology, Bangladesh
Responsibilities: Development of Arduino-based sensor (Sap flow and soil moisture), photogrammetry and remote sensing analysis, application of deep learning for plant-diseases identification. Supervisor: Prof. Dr. Romel Ahmed
Awards & Recognition