Mohammad Zare
Scientist & Project Manager (Data-Driven Climate Analytics)
Experience
Scientist & Project Manager (Data-Driven Climate Analytics)
Leibniz Institute for Agricultural Engineering (ATB)
- Developed AI-powered analytics tools for drought prediction using CMIP6 data.
- Integrated UAV and satellite imagery to optimize predictive models for drought resilience.
- Designed a Decision Support System (DSS) for integrated water resources management.
- Partnered with industry and research institutions to deliver environmental monitoring solutions.
- Managed international projects, aligning data science innovations with policy and business goals.
Civil Engineer – Flood Modeler
WMA Water
- Developed Python and R-based flood risk prediction models for urban and rural areas.
Scientist & Project Manager (Data-Driven Climate Analytics)
Leibniz Institute for Agricultural Engineering (ATB)
- Developed AI-powered analytics tools for drought prediction using CMIP6 data.
- Integrated UAV and satellite imagery to optimize predictive models for drought resilience.
- Designed a Decision Support System (DSS) for integrated water resources management.
- Partnered with industry and research institutions to deliver environmental monitoring solutions.
- Managed international projects, aligning data science innovations with policy and business goals.
University Lecturer – Data Science
IU International University of Applied Sciences
- Delivered interactive courses in Statistics, Probability, and Data Science.
Project Lead and R&D Scientist – Hydrological Modeling & AI
University of Luxembourg / RSS-Hydro
- Directed an AI-based flood-prediction platform supporting insurance and policy decision-making.
- Delivered data-driven risk maps integrating geospatial and hydrological datasets.
- Collaborated with EU agencies and insurers to quantify exposure to extreme climate events.
- Translated academic research into deployable, industry-ready tools for climate risk analytics.
Scientist & Project Manager (Data-Driven Climate Analytics)
Leibniz Institute for Agricultural Engineering (ATB)
- Developed AI-powered analytics tools for drought prediction using CMIP6 data.
- Integrated UAV and satellite imagery to optimize predictive models for drought resilience.
- Designed a Decision Support System (DSS) for integrated water resources management.
- Partnered with industry and research institutions to deliver environmental monitoring solutions.
- Managed international projects, aligning data science innovations with policy and business goals.
Research & Engineering
University of Kassel & ATB
- Conducted research in AI-powered hydrological modeling and data science.
- Built data pipelines combining satellite and GIS inputs for water resource management.
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Agriculture (8.5 years), Education (4 years), and Insurance (2.5 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Research and Development (11.5 years), Project Management (7.5 years), Business Intelligence (6 years), Product Development (4.5 years), and Information Technology (3.5 years).
Summary
Applied climate and environmental scientist with 10+ years of technical expertise in hydrology, land–atmosphere interactions, and climate-impact modeling, with emphasis on AI-enhanced forecasting systems. Experienced in developing process-based and data-driven models for flood and drought prediction, hydrological–hydraulic coupling (HEC-HMS, HEC-RAS, TUFLOW, LISFLOOD), and downscaling/bias correction of CMIP6 climate projections. Skilled in multi-sensor environmental data fusion, including satellite EO, UAV/UAS platforms, hyperspectral data, and in-situ networks, and in implementing ML/AI architectures (ANFIS, FCM, LSTM, Wavelet–AI hybrids) for environmental monitoring and early-warning systems. Demonstrated capability in leading international R&D projects, building reproducible computational pipelines (Python, R, SQL), and translating complex climate datasets into operational analytics for water security, agricultural resilience, and infrastructure design. Author of 60+ peer-reviewed publications (Nature, Elsevier, Springer, IEEE), with recognized contributions to AI for climate adaptation, hydroclimatic extremes, and predictive environmental intelligence.
Skills
- Agricultural & Environmental Hydrology: Watershed Management, Irrigation, Surface-groundwater Water Resources Managment
- Hydrological & Hydraulic Modeling: Hec-hms, Hec-ras, Tuflow, Lisflood
- Climate Resilience & Adaptation: Drought/flood Prediction, Cmip6 Climate Projections, Scenario Analysis
- Ai & Data Science: Machine Learning, Predictive Modeling, Python, R, Matlab
- Gis & Remote Sensing: Arcgis, Qgis, Uav-based Monitoring, Satellite Data Integration
- Data Collection & Analysis: Multi-source Environmental Datasets, Database Management (Sql/mysql), Visualization (Tableau, Power Bi)
- International Project Management & Capacity Building: Collaborative Research, Stakeholder Engagement, Training, And Knowledge Transfer
Languages
Education
University of Kassel
PhD, Civil and Environmental Engineering · Civil and Environmental Engineering · Kassel, Germany
University of Tehran
PhD student, Water Resources Engineering · Water Resources Engineering · Tehran, Iran, Islamic Republic of
Razi University
Master of Science, Water Resources Engineering · Water Resources Engineering · Kermanshah, Iran, Islamic Republic of
Certifications & licenses
Programming & Data Analytics Certificate
WBS CODING SCHOOL, Berlin, Germany
IPMA Certified Project Management
PCEP – Certified Python Programmer
TUFLOW Advanced Hydrodynamic Flood Modeling
UAV Drone Pilot License
Profile
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