Artificial Intelligence
AI is revolutionizing our world, redefining how we live, work, and connect through advanced technology. It empowers machines to learn, adapt, and make decisions, opening doors to unprecedented possibilities. As a dynamic field, AI encompasses subfields like computer vision, which enables machines to interpret visual data, and robotics, which creates intelligent systems for physical tasks. Closely intertwined with AI, data science harnesses vast datasets to fuel these innovations, driving transformative change across industries and shaping a future of limitless potential.
Data Science
Data science extracts insights from large datasets using statistics, machine learning, and visualization, driving informed decisions across industries like healthcare and finance.
Computer Vision
Computer vision, an AI subfield, enables machines to interpret images and videos, powering applications like facial recognition and autonomous driving.
Robotics
Robotics designs programmable machines for tasks in manufacturing, healthcare, and exploration, integrating AI, mechanics, and control systems for automation and efficiency.
My Research Projects
A Machine Learning Framework for Detecting and Mitigating Cultural Bias in Autism Spectrum Disorder Screening (2025)
Author: Mohammad Motaghianfar Abstract Background: Autism screening tools like[…]
Explainable AI Reveals Healthcare Cost Determinants When Accurate Forecasting Fails (2025)
Author: Mohammad Motaghianfar Abstract Background: Healthcare costs are rising[…]
Cross-Attention Fusion for Early Crop Stress Prediction and the Challenge of Limited Temporal Patterns in Agricultural Data (2025)
Author: Mohammad Motaghianfar Abstract Farming faces growing challenges from[…]
Estimating the Health Impact of Multi-Pollutant Reduction Strategies Using Double Machine Learning (2024)
Author: Mohammad Motaghianfar Abstract Heart disease is a global[…]
Personalized Cardiovascular Disease Prevention: Estimating Heterogeneous Treatment Effects of Lifestyle Interventions Using Causal Machine Learning (2024)
Author: Mohammad Motaghianfar Abstract Heart disease is a major[…]
A Hybrid Deep Ensemble and Evidential Regression Framework for Dual Uncertainty Quantification in Agricultural Yield Prediction (2024)
Author: Mohammad Motaghianfar Abstract Predicting crop yields accurately is[…]
Contrastive Pre-training for Data-Efficient Parkinson’s Disease Detection from Speech Signals (2023)
Author: Mohammad Motaghianfar Abstract Parkinson’s Disease (PD) affects millions[…]
Interpretable Machine Learning Identifies Data-Driven Critical Thresholds for Water Potability Assessment (2023)
Author: Mohammad Motaghianfar Abstract Access to clean drinking water[…]
Contact
Let’s connect! I’d love to hear from you.