Mr. Ahmet Kürsad Sircan, University of Hohenheim, Germany
Kürsad Sircan is an environmental scientist specializing in process-based modeling of carbon turnover and its effects on plant-soil interactions. He is proficient in developing and validating predictive models using advanced techniques such as Monte Carlo simulations, Bayesian inference, and sensitivity analysis. Kürsad’s expertise lies in integrating biophysical and geochemical processes to enhance sustainable agricultural and environmental practices. Currently a Ph.D. researcher at the University of Hohenheim in Stuttgart, Germany, he develops geochemical and biological models to simulate carbon turnover and water transport in soil systems. His work includes the integration of root-soil-microbe interaction models with plant growth models to analyze carbon cycling under varying environmental stresses. Kürsad has published his findings in peer-reviewed journals and presented his research at international conferences. He is also skilled in interdisciplinary collaboration, leveraging data-driven insights to understand and mitigate the impacts of environmental changes on ecosystems. With a background in electrical and computer engineering, Kürsad has demonstrated his problem-solving and modeling skills in various fields, including environmental science, biophysics, and engineering.
Professional Profile 🎓
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Summary of Suitability for the Best Researcher Award 🌍
Kürsad Sircan is a highly skilled environmental scientist specializing in process-based modeling of carbon turnover, plant-soil interactions, and the impacts of environmental changes on ecosystems. Their expertise in predictive modeling, advanced statistical techniques, and interdisciplinary collaboration positions them as a strong contender for the award.
Education 📚
- Ph.D. in Mathematical Modeling in Agronomy
- University of Hohenheim, Stuttgart, Germany
- October 2021 – Present
- M.Sc. in Electrical and Computer Engineering
- International Antalya University, Antalya, Türkiye
- February 2017 – December 2019
- B.Sc. in Electrical and Electronics Engineering
- Izmir Institute of Technology, Izmir, Türkiye
- January 2011 – December 2016
Work Experience 💼
Ph.D. Project Researcher
- University of Hohenheim, Stuttgart, Germany
- October 2020 – October 2024
Graduate Teaching Assistant
- International Antalya University, Antalya, Türkiye
- September 2017 – September 2020
M.Sc. Project Researcher
- TÜBITAK, Antalya, Türkiye
- September 2017 – July 2020
B.Sc. Engineering Project
- Izmir Institute of Technology, Izmir, Türkiye
- December 2015 – December 2016
Research Skills 🔬
- Process-based Modeling & Simulation: Expertise in developing geochemical and biological models, simulating complex environmental systems such as carbon turnover and water transport in soil. Skilled in model validation, calibration, and optimization through advanced techniques.
- Advanced Statistical Techniques: Proficient in using Monte Carlo simulations, Bayesian inference, and sensitivity analysis to provide robust predictions and evaluate uncertainty in environmental models.
- Interdisciplinary Collaboration: Strong experience in integrating biophysical, geochemical, and biological processes into cohesive models, working alongside interdisciplinary teams to tackle complex environmental challenges.
- Environmental and Geosciences Modeling: Advanced understanding of carbon cycling, soil-microbe interactions, and environmental modeling to address sustainability and ecosystem health, with a focus on agricultural and environmental practices.
- Programming & Software: Proficient in MATLAB, Python, C, C++, COMSOL, SAS, and Git, with experience in model development, optimization, and simulation across various platforms.
- Technical Reporting & Communication: Demonstrated ability to clearly communicate complex research findings through peer-reviewed publications, conference presentations, and technical reports.
Publication top Notes 📖
Mathematical model of the ventricular action potential and effects of isoproterenol-induced cardiac hypertrophy in rats
Sulfur dioxide derivative prevents the prolongation of action potential during the isoproterenol-induced hypertrophy of rat cardiomyocytes
Quantitative roles of ion channel dynamics on ventricular action potential
A New Low-Cost And Portable Optical Device For Real-Time Assessment Of Tissue Microcirculation
Trait-based modeling of microbial carbon turnover in the rhizosphere