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Franziska Koch is a Senior Scientist / University Assistant in the Department of Water-Atmosphere-Environment (WAU) at the University of Natural Resources and Life Sciences, Vienna (BOKU), specializing in Alpine Hydrology and Remote Sensing. Her research focuses on hydrological modeling, snow dynamics, and climate change impacts in high-alpine regions, with extensive fieldwork at Mt. Zugspitze and other Austrian catchments. Her research interests include: Alpine Hydrology and Snow-Hydrological Modeling Remote Sensing and GNSS-based Snow Monitoring Climate Change Impacts on Water Cycles Glacier Melt Contributions to Runoff Gravimetric Monitoring of Cryospheric Processes Operational Reservoir Inflow Prediction Her recent publications and conference presentations emphasize the integration of superconducting gravimeters, satellite photogrammetry, and conceptual hydrological models to study snow and water dynamics in complex alpine terrain. These works reflect a strong trend toward multi-sensor, integrative approaches for monitoring hydrological storages and improving predictive capabilities under climate change. Scientific awards include: French Government Scholarship for Young Researchers (2021) SnowHydro 2020 Poster Award DACA-13 Poster Award (2013) ESA Integ Space Award (2013) LMUexcellent Mentoring Programme Scholarship (2010) Franziska Koch has actively supervised academic theses and contributed to knowledge transfer through public lectures and media engagement. She has participated in numerous national and international research initiatives, demonstrating strong collaboration with institutions such as LMU Munich, WSL/SLF Davos, and various European research networks. Her work supports climate adaptation strategies in alpine water resource management. She is involved in advanced monitoring projects such as G-MONARCH, which utilizes a superconducting gravimeter at Mt. Zugspitze for integrated observation of cryospheric and hydrological processes at catchment scale.

• Alpine Hydrology
• Remote Sensing
• Snow Hydrology
• +7 more

Caroline Ehrendorfer is a researcher at the Institute of Hydrology and Water Management (Department of Landscape, Water and Infrastructure) at the University of Natural Resources and Life Sciences, Vienna (BOKU). Her work focuses on climate change impacts on hydrological systems and energy infrastructure. Research Areas: Climate change adaptation in transportation, hydropower sustainability under glacier retreat, extreme flood discharge modeling, and snow-hydrological coupling in alpine regions. Projects: Key contributor to CLIMPACT4VERBUND (2024-2027) on residual flow impacts on electricity generation, HyMELT-CC (2022-2025) analyzing climate effects on hydropower, and KlimZug (2021-2024) addressing climate adaptation in train services. Methodologies: Utilizes synthetic weather data, multi-site weather generators, and conceptual hydrological models for reservoir inflow predictions in Austria's alpine valleys. Her 2023-2025 publications emphasize extreme flood estimation, snow-hydrological modeling, and precipitation correction factors. She presents at major conferences like the European Geosciences Union General Assembly and HydroCarpath events.

• Hydrology
• Water Management
• Climate Change Impact Analysis
• +3 more

Professor André Niemann at the University of Duisburg-Essen's Institute of Hydraulic Engineering and Water Management is a leading expert in water resources management, focusing on flood protection, dam control systems, and AI-driven hydrological forecasting. His work bridges practical engineering challenges with advanced data science applications. Academic Leadership: Coordinated projects like interSim (interactive simulation for vocational training) and PROWAVE (forecast-based dam control) Research Impact: Pioneered ensemble optimization methods for reservoirs and LSTM models for inflow forecasting Technological Innovation: Developed AI frameworks for sensor data quality control in water management His research addresses critical intersections between hydraulic engineering and climate resilience, with recent projects analyzing flood forecasting systems ( HÜProS ), urban drainage optimization, and sustainable hydropower solutions using legacy mining infrastructure. Collaborations span institutions like Harz Waterworks, Deltares, and international conferences (IAHR, ICOLD, EGU). Publications since 2012 cover topics from underground pumped storage feasibility to real-time control of urban reservoirs, with a growing emphasis on machine learning applications since 2023. He actively engages in fieldwork, including excursions to dams and control centers, and teaches modules ranging from hydromechanics to environmental monitoring.

• Hydraulic Engineering
• Water Management
• Flood Protection
• +6 more

Dr. Karim Sherif Mostafa Hassan Ibrahim is a Lecturer (Practice) at the Malaysia School of Engineering, Monash University. His expertise spans Civil Engineering with a focus on Artificial Intelligence, Machine Learning, Optimization Algorithms, Geotechnical Engineering, and Hydrology. He holds a PhD from Universiti Tunku Abdul Rahman (UTAR) and has industry experience with companies like HACENT Consultant Sdn Bhd and Minconsult. Education: PhD in Civil Engineering, UTAR (2024) BEng (Hons) Civil Engineering, UNITEN (2019) Foundation in Civil Engineering, UNITEN (2015) His research integrates AI and optimization techniques for hydrological forecasting and reservoir management. Notable projects include Klang Gate Dam reservoir inflow prediction and geotechnical material analysis using polymer-based curing agents. He is a registered professional engineer with awards for academic excellence and leadership. Teaching commitments include courses like CIV3285, CIV4261, and ENG1011. His work bridges academic research and industry applications in civil infrastructure and sustainable water management.

• Artificial Intelligence and Machine Learning
• Optimisation Algorithm
• Geotechnical Engineering
• +1 more

Sophie Lücking is a researcher at the Institute of Hydrology and Water Management within the University of Natural Resources and Life Sciences, Vienna (BOKU) . She specializes in hydrological modeling and climate change impact assessment in high-alpine regions. Her research focuses on: Glacier melt contribution to runoff Precipitation correction models Snow-hydrology coupling Climate change effects on water resources Reservoir inflow predictions Alpine watershed management Key collaborative projects include HyMELT-CC: Hydro power Impact on Electricity Sector with the Institute of Meteorology and Climatology. Her work addresses climate adaptation strategies for hydropower in Austria's glaciated regions. Recent publications analyze: Improved hydrological modeling through precipitation corrections Runoff dynamics in Malta and Ziller valleys Glacier mass balance sensitivity Snow-hydrology integration Data calibration techniques She collaborates with researchers across Austria, Germany, and Spain on climate change mitigation and water resource optimization.

• Hydrology
• Climate Change Impact Assessment
• Environmental Science
• +3 more

Thomas Pulka is a researcher at the Institute of Hydrology and Water Management within the Department of Landscape, Water and Infrastructure at the University of Natural Resources and Life Sciences, Vienna (BOKU). His work focuses on high-alpine hydrological processes, particularly precipitation correction modeling, snow dynamics, and climate change impacts on water cycles. Education: Master of Science in Environment and Bioresources Management (2018–2021), Technical Management with Environmental Engineering specialization (2012–2015), Bachelor in High Tech Manufacturing with Social Systems management (2011–2012) His research emphasizes improving runoff forecasts for hydropower generation through snow cover modeling and addressing water level fluctuations in Kenyan Rift Valley lakes. Current projects include spatiotemporal precipitation analysis and glacier melt contributions to runoff. Key collaborations include work with VERBUND Trading GmbH and the European Geosciences Union (EGU). His publications highlight applications of conceptual hydrological models and snow depth pattern analysis in high-alpine catchments. Location: Muthgasse 18, 1190 Wien Email: thomas.pulka@boku.ac.at ORCID: 0000-0003-1916-3603

• Hydrology
• Water Management
• Climate Change Impacts
• +3 more

Pallav Kumar Shrestha is a postdoctoral researcher at the Helmholtz Centre for Environmental Research (UFZ) since 2017, focusing on Computational Hydrosystems in Leipzig, Germany. His work centers on resolving challenges in global hydrological modeling, particularly for small catchments and reservoir systems. Developed subgrid catchment conservation method for gridded hydrological models Created new reservoir module for mHM Contributor to Nature Communications flood early warning system paper Research Themes : Flood forecasting at global/regional scales Reservoir modeling in regulated basins Climate change impacts on water resources Computational hydrosystems development Environmental informatics for global hydrology Key Projects : ULYSSES (Copernicus), SaWaM (BMBF), 4DHydro (ESA), and state of global water resources (WMO). His 2025 ASCE-EWRI award paper on Great Lakes runoff intercomparison highlights his collaborative impact. Modeling Expertise : Active member of the mHM development team , contributing to debugging, user support, and training across Europe and Asia. His technical skills bridge Fortran programming for skill assessment tools and ecFlow automation systems.

• Hydrological modeling
• Flood forecasting systems
• Reservoir management
• +4 more

Filipe Joel Soares serves as an Assistant Professor at Lusophone University of Porto and Senior Researcher at the Centre for Power and Energy Systems of INESC Porto, where he has held the position of Area Manager since April 1, 2008. He earned his Physics degree from the Faculty of Sciences at Porto University (2004), followed by a Postgraduate in Electrical Engineering (Renewable Energies) from Porto University (2007), and completed his Ph.D. in Sustainable Energy Systems through the MIT|Portugal Program at Porto University (2012). Dr. Soares' research centers on the integration of distributed energy resources in power distribution networks, specifically examining controllable loads, electric vehicles, renewable energy sources, and stationary storage systems. His work develops advanced algorithms for energy management and electricity market participation, addressing critical challenges in grid modernization and renewable integration. His research bridges theoretical innovation with practical implementation in real-world power systems. With over 50 publications in international journals and conferences, his recent work demonstrates strong trends in DER management, virtual power plants, green hydrogen systems, and AI applications in energy. His publications reveal a consistent focus on practical solutions that balance technical feasibility with economic viability in transitioning power systems. Dr. Soares has successfully supervised multiple graduate students whose research covers energy decarbonization impacts, peer-to-peer electricity markets, multi-energy systems participation, and gas network optimization, reflecting the breadth of his expertise and mentorship capabilities. As a Senior Researcher at INESC Porto's Centre for Power and Energy Systems, he leads research initiatives focused on advancing power system technologies, working with interdisciplinary teams to develop innovative solutions for sustainable energy systems and market designs.

• Power Systems
• Renewable Energy
• Distributed Energy Resources
• +3 more

Natalie Nelson is an Assistant Professor in the Department of Biological and Agricultural Engineering at North Carolina State University. Her research focuses on geospatial analytics to address challenges in agriculture, aquaculture, water resources, and coastal management. She develops interdisciplinary approaches to study complex biological systems, particularly the interplay between land management practices and downstream water quality. Key interests include food security risks in coastal basins, mechanistic modeling, and socio-environmental system dynamics at the land-sea interface. Her work integrates satellite data, machine learning, and remote sensing to forecast water quality changes in estuaries and reservoirs. Recent studies investigate algal bloom prediction, nutrient management in agriculturally intensive regions, and microbial contamination risks from tidal flooding. Natalie collaborates with stakeholders to translate data-driven insights into actionable management strategies. Publications emphasize innovative frameworks for sediment pulse modeling, livestock data gaps, and shellfish sanitation monitoring. She has contributed to frameworks addressing hurricane-driven water quality dynamics and fecal bacteria contamination in coastal systems. Her research spans freshwater inflows to estuaries, floodwater microbiology, and climate-resilient agricultural practices. Natalie’s work bridges environmental science with societal needs, focusing on equitable water quality monitoring and climate adaptation strategies. She holds a leadership role in interdisciplinary projects addressing coastal resilience and has developed tools for real-time water quality decision support systems.

• Geospatial Analytics
• Water Quality Management
• Agricultural Sustainability
• +4 more

Bernt Sigve Aadnøy is a Professor in the Department of Energy and Petroleum Engineering at the University of Stavanger, Faculty of Science and Technology. His work bridges theoretical and applied petroleum engineering, with a strong emphasis on drilling operations, well design, and geomechanics. His research focuses on drilling optimization, wellbore stability, drilling fluids, and smart well systems. He has extensively studied the use of nanoparticles in drilling fluids, rate of penetration modeling, torque and drag in 3D wells, and closed-loop drilling optimization. His work integrates computational modeling, laboratory experiments, and field case studies. The recent publications highlight a consistent trend in applying advanced modeling techniques—including machine learning, finite element analysis, and stochastic optimization—to solve complex drilling challenges. Topics include nanoparticle-enhanced fluids, real-time mechanical specific energy minimization, and autonomous downhole control systems, reflecting a strong interdisciplinary approach combining petroleum engineering with data science and control theory. Bernt Sigve Aadnøy has collaborated with numerous researchers and students, contributing to advancements in drilling safety, efficiency, and sustainability, particularly in challenging environments such as the Arctic and deep-water reservoirs.

• Petroleum Engineering
• Drilling Engineering
• Wellbore Stability
• +12 more