Bridging Environmental Science with Cutting-Edge AI
Harnessing deep learning and machine learning to solve complex environmental challenges with precision and efficiency.
Harnessing deep learning and machine learning to solve complex environmental challenges with precision and efficiency.
Combining environmental expertise with advanced AI techniques to deliver actionable insights and solutions.
Advanced UNet+ architectures for precise rooftop detection, land cover classification, and environmental monitoring from satellite/aerial imagery.
Machine learning models for climate prediction, pollution tracking, and ecosystem health assessment with explainable AI techniques.
Advanced processing of LiDAR, multispectral, and hyperspectral data with deep learning for environmental applications.
AI-powered flood prediction, watershed analysis, and water quality assessment with high spatial resolution.
Predictive models combining satellite data, weather patterns, and historical fire data to assess and mitigate wildfire risks.
Tailored machine learning pipelines for your specific environmental challenges, from data collection to deployment.
Real-world applications of our environmental AI expertise.
Developed a custom UNet++ architecture for rooftop segmentation across 12 major cities, enabling accurate solar potential assessment for over 2 million buildings.
Created an ensemble model combining LSTM networks with physical hydrology models to predict flood events with 72-hour lead time, reducing false alarms by 40% compared to traditional methods.
Real-time monitoring of forest cover changes using Sentinel-2 data and change detection algorithms.
Transformer-based model forecasting PM2.5 levels with 90% accuracy 24 hours in advance.
Multispectral image analysis for bleaching detection and marine ecosystem monitoring.
With a Masters in Environmental Science and over 4 years of experience in machine learning applications, I bridge the gap between ecological research and cutting-edge AI technology.
Masters in Environmental Science, QAU, Pakistan
Former Researcher Assistant at COMSATS University
Published 4 peer-reviewed papers in top journals
Let's discuss how we can apply cutting-edge machine learning to solve your specific environmental or sustainability goals.
solveaieco@gmail.com
+92 334 6238754
Islamabad, Pakistan | Remote Worldwide