AI/ML Projects & Applications
Here's a selection of my practical projects demonstrating the application of AI and Machine Learning in diverse fields.
AI-Powered Brain CT Image Analysis for Anomaly Detection
Healthcare | Image Processing
Developed a deep learning model to accurately identify and segment abnormalities in brain CT scans, aiding early diagnosis of neurological conditions. Utilized CNNs and advanced image processing techniques.
Geostatistical Spatial Interpolation Enhanced with AI Regression Models
Engineering | Spatial Interpolation Modeling
Developed and deployed an end-to-end geostatistical spatial interpolation system, significantly enhanced with advanced AI regression models for increased accuracy in predicting spatial phenomena.
Predictive Weather Modeling using Time-Series AI
Environmental Science | Time-Series Forecasting
Implemented AI models (e.g., LSTMs, Transformers) to forecast localized weather patterns, including temperature and precipitation, offering crucial data for agricultural planning and logistical optimization.
Machine Learning for Concrete Compressive Strength Prediction
Civil Engineering | Material Science
Built and deployed machine learning models to accurately predict the compressive strength of concrete based on various mix design parameters, leading to optimized material usage and enhanced structural integrity.
AI-Driven Design of Ultra-High Performance Concrete (UHPC)
Civil Engineering | Advanced Materials
Leveraged advanced AI algorithms to explore and optimize complex mix designs for Ultra-High Performance Concrete (UHPC), facilitating the development of materials with superior strength and durability properties.
AI-Optimized Soil Compaction and Compression Parameters
Civil Engineering | Geotechnical Engineering
Developed an AI system to accurately predict and optimize soil compaction and compression parameters for civil engineering projects, leading to improved construction efficiency, stability, and cost savings.
Explainable AI (XAI) for Engineering Systems: Parametric & Sensitivity Studies
Engineering | Model Interpretability
Conducted comprehensive parametric and sensitivity analyses using various XAI packages (e.g., SHAP, LIME) to understand and validate the decision-making processes of AI models applied to complex engineering systems.
Interactive XAI Package Demonstrator (LIME/SHAP)
Tool Development | Interpretability
Developed an interactive web application to demonstrate the inner workings and outputs of popular XAI packages like LIME and SHAP on various machine learning models, providing intuitive insights into model predictions.
Civil Engineering AI Suite (Ongoing Development)
Civil Engineering | Full Stack AI
Developing a comprehensive AI suite for civil engineering applications, encompassing modules for structural analysis, material optimization, and construction planning using advanced machine learning techniques.
AI-Powered Fitness and Wellness App (Ongoing Development)
Healthcare | Mobile App Development
Building an intelligent mobile application that uses AI to provide personalized fitness plans, track user progress, and offer nutritional advice, aiming to enhance overall health and wellness.