Research
AI systems for climate governance and environmental intelligence.
My work develops artificial intelligence systems that transform satellite observations, climate pathways and sustainability data into actionable intelligence for public policy, emissions mitigation and environmental governance.
AI for Climate Governance
AI-assisted systems for climate pathway assessment, policy review, emissions mitigation planning and sustainability governance.
- Climate scenario vetting
- Policy intelligence
- Review-load indicators
- Transition-burden analysis
Earth Observation & Remote Sensing
Computer vision and geospatial AI for satellite imagery, industrial activity monitoring, methane emissions and infrastructure systems.
- Satellite infrastructure mapping
- Methane intelligence
- Object detection
- Open-vocabulary Earth observation
Sustainability Intelligence Systems
Decision-support systems connecting machine learning, mathematical modeling and policy indicators for sustainable development.
- SDG monitoring
- Environmental indicators
- Automated evidence synthesis
- Operational policy analytics
Selected projects.
SAGE-Vet
AI-assisted climate scenario vetting framework for assessing transition-burden fingerprints and review-load signals in climate pathways.
Dynamic & Intelligent Methane Emissions Inventory
AI-driven framework for automatic tracking and characterization of methane-emitting behaviors across the oil and gas industry.
SDG-Meter
Deep learning system for automatic alignment of policy and project documents with the Sustainable Development Goals.
ZERIS-RS
Open-vocabulary Earth observation framework for infrastructure discovery and monitoring using vision-language and spatial reasoning.
Peer-reviewed publications and selected scientific contributions.
Selected work in remote sensing, methane intelligence, sustainability AI and environmental forecasting.
<h3 class="jade-divider-title">Peer-reviewed publications</h3>
<div class="jade-publication"><strong>Object Detection Models Sensitivity & Robustness to Satellite-Based Adversarial Attacks.</strong><p>Jade Eva Guisiano, Domenico Barretta, Éric Moulines, Thomas Lauvaux, Jérémie Sublime. IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece.</p></div>
<div class="jade-publication"><strong>Oil and Gas Automatic Infrastructure Mapping: Leveraging High-Resolution Satellite Imagery through Fine-Tuning of Object Detection Models.</strong><p>Jade Eva Guisiano, Éric Moulines, Thomas Lauvaux, Jérémie Sublime. International Conference on Neural Information Processing, Changsha, China.</p></div>
<div class="jade-publication"><strong>O&GProfile: An Automated Method for Attribution of Satellite Methane Emission Detections to Oil and Gas Sites and Operators.</strong><p>Jade E. Guisiano, Thomas Lauvaux, Éric Moulines, Jérémie Sublime. International Conference on Machine Learning and Data Mining, New York, USA.</p></div>
<div class="jade-publication"><strong>SDG-Meter: A Deep Learning-Based Tool for Automatic Text Classification of the Sustainable Development Goals.</strong><p>Jade Guisiano, Raja Chiky, Jonathas Demello. Asian Conference on Intelligent Information and Database Systems, Ho Chi Minh City, Vietnam.</p></div>
<div class="jade-publication"><strong>Multilayered Ensemble Learning for Short-Term Forecasting in Agro-Climatology.</strong><p>Jade Guisiano, Raja Chiky, Julien Orensanz, Shohreh Ahvar. International Conference on Computer and Technology Applications, Antalya, Turkey.</p></div>
<h3 class="jade-divider-title">Selected conference and workshop presentations</h3>
<div class="jade-publication"><strong>Artificial Intelligence for Dynamic and Intelligent Methane Inventory.</strong><p>Jade Eva Guisiano, Thomas Lauvaux, Zitely Tzompa-Sosa, Éric Moulines, Jérémie Sublime. European Geosciences Union.</p></div>
<div class="jade-publication"><strong>Artificial Intelligence for Methane Mitigation: Automated Determination of Oil and Gas Methane Emission Profiles.</strong><p>Jade Eva Guisiano, Éric Moulines, Thomas Lauvaux, Jérémie Sublime. NeurIPS Workshop.</p></div>
<div class="jade-publication"><strong>Comprehensive Synthesis of TROPOMI-Based Methane Emissions from the Permian Basin Estimated with State-of-the-Art Methodologies.</strong><p>Alba Lorente, Daniel Zavala-Araiza, Daniel Varon, Lu Shen, Yuzhong Zhang, Mengyao Liu, Pepijn Veefkind, Oliver Schneising, Michael Buchwitz, Jade Guisiano, Alexandre d’Aspremont, Ritesh Gautam, Jack Warren, Mark Omara. American Geophysical Union Annual Meeting.</p></div>
<div class="jade-publication"><strong>O&GProfile: Automated Attribution of GHGSat Point-Source Methane Emission Detections to Oil and Gas Infrastructure for Site-Level Emission Profiling.</strong><p>Jade Eva Guisiano, Thomas Lauvaux, Claudio Cifarelli, Éric Moulines, Jérémie Sublime. European Geosciences Union.</p></div>
<div class="jade-publication"><strong>Comprehensive Synthesis of TROPOMI-Based Methane Emissions from the Permian Basin Estimated with State-of-the-Art Methodologies.</strong><p>Alba Lorente, Daniel Zavala-Araiza, Daniel Varon, Lu Shen, Yuzhong Zhang, Mengyao Liu, Pepijn Veefkind, Oliver Schneising, Michael Buchwitz, Jade Guisiano, Alexandre d’Aspremont, Ritesh Gautam, Jack Warren, Mark Omara. International Workshop on Greenhouse Gas Measurements from Space.</p></div>