GAINS

Global Artificial Intelligence and Nature Solutions

Advancing AI-powered nature solutions for a carbon-neutral future — forest carbon, climate change, extreme climate events, ecosystem resilience, tipping points, biodiversity, and GeoAI at landscape to jurisdictional scales.

About GAINS

An institute for AI-driven Earth system science

GAINS — Global Artificial Intelligence and Nature Solutions — builds scientific tools and decision support for governments, universities, NGOs, and industry. We treat AI and Earth observation as instruments to test and scale ecological theory, not as a substitute for mechanism.

Mission

Scale ecological theory with GeoAI and structural equation modeling to sustain forest carbon and biodiversity under climate change — including resilience to extremes, early warning of tipping points, JREDD+, Net Zero, and nature-based solutions.

Vision

An international research institute bridging field ecology, multi-sensor remote sensing, and AI for transparent carbon MRV, climate-risk assessment, restoration design, and early warning of ecosystem tipping points.

Core values

Theory first. Evidence over black boxes. Open methods where possible. Partnerships that serve climate adaptation, resilience, and biodiversity priorities.

Scope

Tropical forests, mangroves, urban greenspace, agroforestry, and coastal systems under intensifying climate extremes — with methods that transfer across tropical and subtropical landscapes.

Policy alignment

GAINS research is aligned with — not a substitute for — major international agendas for climate and biodiversity action.

  • SDG 13 — Climate Action Extremes, resilience, tipping points, Net Zero, nature-based solutions
  • SDG 14 — Life Below Water Mangroves, blue carbon, and coastal systems
  • SDG 15 — Life on Land Tropical forests, biodiversity–ecosystem functioning, restoration
  • GBF Target 2 Ecosystem restoration and trait-based recovery design
  • GBF Target 3 Conservation co-benefits for biodiversity and carbon
  • GBF Target 8 Minimize climate impacts on biodiversity; early warning of tipping risk
  • GBF Target 11 Nature’s contributions to people — multifunctionality and carbon services
  • GBF Target 21 Science, data, and GeoAI for decision-ready biodiversity and carbon knowledge

Research programs

Six themes that define GAINS

Organized research programs spanning forest carbon, climate extremes and tipping points, biodiversity, AI for Earth, remote sensing, and digital twin forests.

  1. 01

    Forest Carbon & Climate Change

    Carbon accounting, sequestration, carbon stability under a changing climate, MRV, JREDD+, and Net Zero pathways for forests and blue carbon — including contributions to global mangrove soil-carbon mapping collaborations.

  2. 02

    Climate Extremes, Resilience & Tipping Points

    Cyclones, heat, drought, salinity, and compound extremes; recovery trajectories; critical slowing down (CSD); long-term vegetation signals (e.g. kNDVI); and early warning of ecological tipping points.

  3. 03

    Biodiversity & Ecosystem Functioning

    Functional composition, multifunctionality, structural diversity, and ecological modeling with SEM — how biodiversity sustains function under climate stress.

  4. 04

    AI for Earth

    Machine learning, deep learning, GeoAI, foundation models, and explainable AI for monitoring, resilience forecasting, and decision support.

  5. 05

    Remote Sensing

    Satellite, drone, TLS/LiDAR, hyperspectral, radar, GEDI, Planet, and MODIS — fused for multi-scale observation of change, extremes, and recovery.

  6. 06

    Digital Twin Forests

    Living digital representations of stand structure, carbon, resilience, and tipping risk — linking plots, UAV/LiDAR, and satellite time series.

Institute profile

How we monitor, analyze, and act

Multi-scale monitoring, GeoAI analysis, and application pillars — including forest carbon, climate resilience, and ecological tipping points across urban, tropical, coastal, and agroforestry landscapes.

GAINS institute profile — multi-scale monitoring pyramid, ecosystem landscape, GeoAI toolkit, and research pillars

Publications

Evidence in leading venues

Selected papers by venue. Full list on Google Scholar (1,497 citations; h-index 13; i10-index 19 — as of July 2026).

Google Scholar · Full CV (PDF)

Founder & Director

Dr. Md Mizanur Rahman

Founder & Director, GAINS · Research Fellow, Remote Sensing Laboratory, The Hong Kong Polytechnic University

Forest ecologist with a decade of experience across Kyoto University, NASA Goddard Space Flight Center, The University of Hong Kong, Jiangmen Laboratory of Carbon Science and Technology (HKUST Guangzhou), and The Hong Kong Polytechnic University. His work integrates field ecology, UAV/LiDAR, satellite remote sensing, GeoAI, machine learning, and structural equation modeling to understand forest carbon, climate extremes, ecosystem resilience, and tipping points — with 20+ peer-reviewed articles (1,497 citations; h-index 13; i10-index 19, Google Scholar, July 2026) in Nature Communications, Global Change Biology, and Communications Earth & Environment.

Research interests

  • Climate change & extreme climate
  • Ecosystem resilience
  • Ecological tipping points & CSD
  • Forest carbon & blue carbon
  • Biodiversity–ecosystem functioning
  • Structural equation modeling
  • GeoAI & Earth observation
  • JREDD+ & carbon MRV
  • Nature-based solutions
  • Digital twin forests

Selected experience

  • Research Fellow — PolyU Remote Sensing Laboratory 2026–present · Blue carbon, Net Zero trees, campus carbon offsetting
  • Research Fellow — JC STEM Lab of Earth Observations & RCAIG, PolyU 2024–2026 · RTH ITF Fellow · Mangrove resilience, climate extremes, UAV/TLS, GeoAI
  • Assistant Researcher — Jiangmen Lab / HKUST Guangzhou 2023–2024 · Carbon accounting & nature-based offsets
  • RGC Postdoctoral Fellow — The University of Hong Kong 2022–2023 · Sentinel–GEDI–TanDEM-X fusion
  • NASA Visiting Fellow — Goddard Space Flight Center 2016 · Canopy height & 3-D vegetation mapping
  • Ph.D. — Kyoto University 2019 · Forest and Biomaterials Science

Capabilities

Where we can contribute

Areas of scientific expertise for future partnerships — not a commercial service catalog. Engagement depends on collaboration, institutional approval, and funding.

Engage

Collaborate with GAINS

Pathways we aim to open as the institute grows — enquire by email; nothing below is an open call or guaranteed program yet.

Partners

Seeking collaborations with universities, agencies, NGOs, industry, and international organizations.

Training

Coming soon.

Careers

Coming soon.

Coming next

Data portal, open GEE/Python tools, and interactive carbon & resilience calculators — roadmap only.

Contact

Start a collaboration

Research partnerships on climate extremes, resilience, tipping points, forest carbon, GeoAI, MRV, training, and institute development — get in touch.

Email GAINS