Hybrid Conferencee

International Conference on Environmental Applications of Machine Learning (ICEAML - 26)

17th - 18th July 2026 | Lisbon, Portugal
Sample Abstract
Download
Conference Brochure
Sample Full Paper
Download
Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Lisbon. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Lisbon event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Lisbon conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Lisbon, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Lisbon."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICEAML aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Machine Learning, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Machine learning for climate modeling
02
Predictive analytics in environmental science
03
AI for biodiversity conservation efforts
04
Sustainable resource management using ML
05
Environmental monitoring with sensor data
06
Machine learning in renewable energy systems
07
Pollution prediction and control using AI
08
Data-driven approaches to climate change
09
Smart agriculture and machine learning
10
Wildlife tracking with machine learning
11
AI for disaster response and recovery
12
Urban planning and environmental sustainability
13
Machine learning for water resource management
14
Impact assessment of environmental policies
15
Carbon footprint reduction using AI
16
Machine learning in ecological modeling
17
Public health and environmental data analysis
18
Community engagement through environmental AI
19
Future trends in environmental machine learning
20
Ethics of AI in environmental applications