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• Energy and Environment Group, Department of CST

Talks given by

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• Conservation Evidence
• Using Machine Learning to Improve Protected Area Management
• Combined Talks: Long-term Biodiversity Monitoring at Scale & Collecting Deep Population Data for Amphibians with a Simple Phone and an ML Vision
• Tracking 30-year Tropical Forest Biomass Loss and Recovery Based on a Spatially-explicit Bookkeeping Model with Earth Observations
• A CarbonFirst Approach for Decarbonizing Cloud Computing
• How a Positive Tipping Point Cascade in Power, Transport and Heating Can Accelerate the Low Carbon Transition
• Challenges in Cyber-Physical Energy Systems - of Agents and Data
• Visual Digital Twins of Forests
• Partner-driven Environmental Sensing: Co-design with Indigenous Ojibwe Scientists
• Real-time Wildlife Monitoring
• Grid-friendly Energy Community Coordination for Reducing Grid Reinforcement Needs
• Annual Monitoring of Forest AGB over a Period of 10 years Using SSL-derived Representations from Optical Time Series
• HyWay: Enabling Mingling in the Hybrid World
• Tackling the Hidden Costs of Computational Science: GREENER Principles for Environmentally Sustainable Research
• An App for Tree Trunk Diameter Estimation from Coarse Optical Depth Maps
• Internet Connectivity in the Global South: Challenges and Lessons Learned
• How Do We Teach "Difficult" Concepts to Undergraduate Students?
• SOPEVS: Sizing and Operation of PV-EV-Integrated Modern Homes
• Automated Fact-Checking of Climate Change Claims with Large Language Models
• Automated Fact-Checking of Climate Change Claims with Large Language Models
• Digital Participatory Tools for Rural Communities in India to Adapt to Climate Change
• Using AI to Accelerate Evidence Synthesis and Decision Support to Save Biodiversity
• Transforming Your Understanding of Large Language Models: A Primer
• Mechanisms Against Climate Change
• Tracking Compound Heat and Humidity Impacts
• Towards Global, General-Purpose Geographic Location Encoders
• The Future of 24/7 Clean Energy driven by AI
• Renewables as Reserve Providers; Turning a Challenge into an Opportunity
• Analyzing the Impacts of Extreme Heat on Buildings
• Challenges in Computing Climate Sensitivity and Climate Solutions: Examples from Glaciology and CO2 Storage
• AI-Refined Radiative Transfer Modelling to Retrieve Biophysical Variables in Forests
• Reimagining Urban Energy: Policy Implications of Bidirectional Electric Vehicles, Solar Energy, and Work-from-Home Trends
• Carbon Clarity in the Global Petrochemical Supply Chain
• Group Discussion - What I Wish I Had Known Earlier in My Research Career
• Uncertainty at Scale: How CS Hinders Climate Research
• Programming for the Planet: the challenges of repeatable and reproducible computing for enviromental sciences
• If a Tree Falls in the Forest, Does It Cause a Fire?
• The Real Information in Climate Simulations
• Full-waveform LiDAR and Scalability of Forests Plots
• Batteries beyond Power Supplies
• Telling Tree Stories through Laser Scans and AI
• Forest biomass mapping and monitoring with NASA Lidars
• From open source and open data to “open computation”: a climate science perspective
• Tokenized Carbon Credits
• Designing PV-EV integrated Residential Microgrids
• Taking the Long View: Enhancing Learning On Multi-Temporal, High-Resolution, and Disparate Remote Sensing Data for Measuring the Spread of Buildings
• Creating a High-Resolution Canopy Height Map of the Earth
• Measuring Small-scale Tropical Forest Disturbance with GEDI
• Computational Agroecology: Rethinking Agriculture with State Spaces
• Fast Tagging of Pollinator Field Videos with Convolutional Tsetlin Machines
• Identifying direct deforestation drivers in sub-Saharan Africa using deep learning and high-resolution satellite imagery
• Parallel Universes, Parallel Processing: Using expired weather forecasts to supply up to 10 000 years of weather data (on an HPC cluster)
• Narrowing Precipitation Uncertainty over High Mountain Asia with Probabilistic Machine Learning
• Dynamic Distribution Network Reconfiguration with Generation and Load Uncertainty
• Data-driven Building Energy Systems: Applications, Platforms, and Benchmarking
• Designing PV-EV Integrated Residential Microgrids in the post-COVID World
• Assessing the Impact of Drought on Tropical Forests using GEDI