About Me
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Aali A. Alqarni is a highly skilled researcher with expertise in artificial intelligence, machine learning, and natural language processing. He holds a Bachelor of Science in Computer Science from Al-Imam Muhammad Ibn Saud Islamic University and a Master of Data Science from the University of Melbourne. Currently, Aali works as a Senior Researcher at the National Institute for Artificial Intelligence and Robotics in KACST.
His focus is on machine learning and deep learning research, as well as the development of semantic web tagging tools. Additionally, he provides consultations to government agencies.Throughout his career, Aali has been involved in several high-profile projects and has published research papers in international conferences.
He is particularly known for his expertise in sentiment analysis and text classification, which has led to the development of innovative tools and systems. Aali has also achieved notable rankings and recognition in competitive events such as the IBM Build Your Bot Competition and Kaggle Competition
Highlighted Projects
Projects
Data in Sports
- Duration: January 2023 - Present
- Collaboration: KACST/MIT
- Details: More details can be found here.
Saudi Electricity Demand Forecasting
- Duration: October 2022 - August 2023
- Organization: KACST
Smart Prediction Service (Stream Machine Learning Portal)
- Duration: October 2022 - April 2023
- Organization: KACST
- Description: Stream Machine Learning Portal is a platform that provides real-time, scalable, and continuous training of machine learning models. This platform supports building and deploying real-time models that process data streams, ideal for use cases like fraud detection, predictive maintenance, and customer behavior analysis.
Arabic Sarcasm Detection
- Duration: May 2020 - January 2021
Social Data Media Mining
- Duration: August 2015 - May 2017
- Organization: KACST
Social Network Analysis
- Duration: February 2011 - August 2014
- Organization: KACST
Natural Language Processing (TTS)
- Duration: November 2013 - July 2014
- Organization: KACST
