Philip Adams

Tel: +82-42-350-7521

E-Mail: pilippilip[at]kaist.ac.kr

Philip Adams
Ph.D. Candidate, School of Electrical Engineering, KAIST
Computational Intelligence Laboratory
Advisor: Prof. Changick Kim
Education
2022.3 - Present
Ph.D. Candidate, School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), South Korea
2016.3 - 2018.2
M.S., School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), South Korea
2012.3 - 2016.2
B.S., School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), South Korea
Professional Experience
2020.1 - 2022.2
Senior Research Scientist, TerraSignal Systems, Seoul, South Korea
Led the development of satellite-based wildfire, drought, and flood-risk forecasting systems.
2018.3 - 2019.12
Research Engineer, TerraSignal Systems, Seoul, South Korea
Developed multimodal machine-learning pipelines using satellite imagery, weather radar, and environmental sensor data.
Research Interests
Ecological Security AI
Climate AI
Multimodal Machine Learning
Earth Observation and Remote Sensing
Ecosystem Tipping-Point Forecasting
Cascading Climate Risk
Biodiversity Monitoring
Graph Neural Networks
Causal Inference and Decision-Making Under Uncertainty
Publications
Philip Adams et al., “EcoCascade: Forecasting Cascading Climate and Ecological Security Risks,” AAAI Conference on Artificial Intelligence, AI for Social Impact Track, 2026.
Philip Adams et al., “BioSentinel: Open-Set Biodiversity Monitoring Under Climate Distribution Shift,” NeurIPS Workshop on Tackling Climate Change with Machine Learning, 2025.
Philip Adams et al., “EcoGuard-FM: Multimodal Foundation Models for Ecosystem Stress Monitoring,” IEEE International Geoscience and Remote Sensing Symposium, 2024.
Philip Adams et al., “Early Detection of Vegetation Stress Using Multimodal Satellite and Ground Sensor Data,” IEEE International Geoscience and Remote Sensing Symposium, 2023.
Philip Adams et al., “TippingNet: Predicting Ecosystem Tipping Points with Multimodal Temporal Learning,” Manuscript in preparation, 2026.
Philip Adams et al., “East Asia Ecological Security Atlas: A Multisector Benchmark for Cascading Climate Risk,” Dataset and benchmark paper in preparation, 2026.
Selected Conference Presentations
2026.7
Global Ecological Security Summit 2026
Invited Keynote
“From Climate Prediction to Ecological Security Intelligence”
2026.5
International Biodiversity AI Forum 2026
Invited Talk
“Detect Before Damage: AI-Based Early Warning for Ecosystem Collapse”
2026.1
AAAI-26 AI for Social Impact Track, Singapore
Oral Presentation
“EcoCascade: Forecasting Cascading Climate and Ecological Security Risks”
2025.12
NeurIPS 2025 Climate Change AI Workshop, San Diego, United States
Spotlight Presentation
“BioSentinel: Open-Set Biodiversity Monitoring Under Climate Distribution Shift”
2024.7
IEEE IGARSS 2024, Athens, Greece
Oral Presentation
“EcoGuard-FM: Multimodal Foundation Models for Ecosystem Stress Monitoring”
2023.7
IEEE IGARSS 2023, Pasadena, United States
Poster Presentation
“Early Detection of Vegetation Stress Using Multimodal Satellite and Ground Sensor Data”
Patents
2026
“Graph-Based Cascading Ecological Risk Forecasting and Intervention Prioritization Method”
Patent application filed
2026
“Multimodal Environmental Signal-Based Early Warning System for Ecosystem Tipping Points”
Patent application filed
2026
“Adaptive Edge Sensing System for Multimodal Ecological Anomaly Detection”
Patent application filed
Selected Research Projects
2025 - Present
East Asia Ecological Security Atlas
Developing an integrated map of ecological, water, agricultural, and infrastructure risks across East Asia.
2024 - Present
EcoCascade
Graph-based AI system for forecasting cascading interactions among drought, wildfire, water quality, agriculture, and power-grid risks.
2024 - Present
BioSentinel
Open-set biodiversity monitoring system using camera-trap imagery, bioacoustics, climate data, and satellite observations.
2023 - Present
EcoGuard-FM
Multimodal foundation model for the early detection of ecosystem stress.
2023 - Present
EcoNode-X
Low-power edge-AI sensor network for long-term ecological monitoring in remote environments.
Awards and Honors
2026.8
Global Ecological Security Prize – Emerging Research Leader
Awarded for establishing the field of Ecological Security Intelligence and developing actionable ecosystem early-warning systems.
2026.7
Young Global Leader in Ecological Security
Global Ecological Security Alliance
2026.6
KAIST Grand Challenge Fellowship in Climate and Ecological AI
2026.1
Distinguished Research Recognition, AI for Social Impact
2025.12
Spotlight Presentation Recognition, NeurIPS Climate Change AI Workshop
2024.7
IEEE IGARSS Student Paper Competition Finalist
2023.12
KAIST School of Electrical Engineering Outstanding Doctoral Research Award
Research Leadership
2026 - Present
Co-Chair, International Consortium for Ecological Security AI
2026 - Present
Lead Developer, Adams Framework for Ecological Security AI
2025 - Present
Principal Researcher, East Asia Ecological Security Atlas Initiative
Research Statement
Philip Adams develops artificial intelligence systems that detect ecosystem instability before visible damage occurs, forecast how ecological risks cascade into food, water, energy, and infrastructure systems, and identify where early intervention can prevent irreversible collapse.

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