Mohammad Zare

Innovative hydrologist, climate resilience expert, and AI specialist with over 10 years of experience in hydrology, climate adaptation, remote sensing, and geospatial data science. Proven ability to develop AI-powered environmental solutions, UAV-based monitoring systems, and hydrological models for water resource management. I am adept at leading multi-disciplinary research projects and collaborating with government agencies, universities, and private sector organizations to tackle climate challenges. I am actively seeking opportunities in the UAE to apply my expertise in climate risk management, water sustainability, and AI-driven environmental solutions.

Scientist & Project Manager 07/ 2023 – Present

Leibniz Institute for Agricultural Engineering & Bioeconomy (ATB), Potsdam, Germany

• Developed AI-powered solutions for climate resilience using CMIP6 climate data.
• Integrated UAV-based remote sensing and GIS technologies for water resource optimization.
• Customized a digital infrastructure using 5G technology on a robotics platform to measure microclimate data.
• Spearheaded international collaborations on environmental monitoring systems.
• Optimized sensor networks & data pipelines for large-scale hydroclimate analysis.

• Conducted advanced analysis using CMIP6 climate data to predict future drought conditions, enabling stakeholders to adopt effective strategies for supplementary irrigation and climate adaptation planning.
• Designed and implemented a 5G-enabled robotics platform for real-time microclimate data monitoring, streamlining environmental data collection and analysis for precision agriculture.

WMA Water, Sydney, Australia

• Applied hydrodynamic flood modeling using TUFLOW for nationally significant projects.
• Developed Python and R-based flood risk prediction models for urban and rural areas.

• Successfully Completed TUFLOW Advanced Training, gaining expertise in hydrodynamic modeling.
• Developed an innovative methodology utilizing R and Python to calculate water levels at upstream cross sections of the Warragamba Dam

Leibniz Institute for Agricultural Engineering & Bioeconomy (ATB), Potsdam, Germany

• Directed an interdisciplinary R&D project in collaboration with CiS GmbH, designing and implementing deep learning models for image processing to enhance climate resilience and environmental monitoring systems.
• Leveraged Python, MATLAB, and QGIS to conduct advanced time-series analysis of meteorological data, enabling comprehensive climate risk assessments with CMIP6 climate data
• Collaborated with a multidisciplinary team to integrate research outcomes into operational drone systems, supporting precision agriculture and climate resilience initiatives.

• Developed the PHLIP smart monitoring system using deep learning object detection to enhance pest management planning for agriculture.
• Designed a methodology to detect and monitor drought conditions by integrating climate change scenarios, satellite imagery, and machine learning techniques.

IU International University of Applied Sciences, Germany

• Delivered interactive courses in Statistics, Probability, and Data Science.

RSS-Hydro / University of Luxembourg

• Led the development of an AI-driven flood prediction platform for risk mitigation.
• Engineered data-driven decision support systems for urban flood management, aiding in policy formulation for sustainable water resource management.
• Contributed to satellite-based flood hazard modeling, enabling more accurate insurance risk assessments and government policy adjustments.
• Demonstrated excellent project management skills, including budgeting and resource allocation.

• Developed an innovative spatial interpolation model for precipitation (i-FCM). 
• Simulated flood events to generate hazard maps and assess urban flood risk at the building level. 
• Represented Luxembourg at Dubai Expo 2020 as a leading scientist in Earth observation.

ATB, Potsdam, Germany

• Developed remote sensing-based AI tools for drought prediction and water management.
• Designed a Decision Support System (DSS) for integrated water resources management.
• Collaborated with industry to implement GIS-based environmental monitoring solutions.

• Developed satellite-based indices for estimating crop water stress indices.
• Developed the Water Management Tool (WMT) into a Decision Support System (DSS) for implementation of the Integrated Water Resources Management process

Dept. Geohydraulics & Engineering Hydrology, Faculty of Civil and Environmental Engineering, University of Kassel, Kassel, Germany 

• Served as the Principal Investigator of a DAAD-funded project (full PhD scholarship) investigating physical and data-driven stochastic hydrological simulation-optimization techniques
• Developed and implemented innovative methodologies and approaches to improve the accuracy and reliability of hydrological simulations.
• Demonstrated strong analytical, problem-solving, and communication skills, effectively conveying complex ideas and research findings to both technical and non-technical audiences

• Successfully completed a PhD. in Civil Engineering within an accelerated timeframe of 3.5 years.

PhD in Civil Engineering- Hydrology and Water Resources Management

University of Kassel, Germany (2014 – 2017).

Ranked #2 in Germany, #14 in Europe, and #51 globally in Hydrology & Water Resources Management.

(source: edurank.org/environmental-science/hydrology/de/)

PhD in Water Resources Engineering | University of Tehran, Iran (2011-2013, resigned to pursue PhD in Germany)

MSc in Water Resources Engineering | Razi University, Kermanshah, Iran (2009 – 2011)

BSc in Water Engineering (Irrigation & Drainage) | University of Tabriz, Iran (2004 – 2009)

Certifications and Licenses IPMA Certified Project Management

TUFLOW Advanced Hydrodynamic Flood Modeling

UAV Drone Pilot License (EU)

European Driving License (Category B)