
His research interests include Big data (Hadoop/Spark) analytics, Machine Learning, Geo-locating with Social Media texts, Information Retrieval, and Digital Libraries. To establish a robust 'Bigdata Research Infrastructure and Data Hub' that supports UIS faculties and researchers in the collection, processing, and analysis of Big research data, He has constructed multiple computer clusters, including a 12-node Kubernetes (K8s) cluster with 8 GPUs and an 11-node Hadoop cluster, alongside dedicated collection servers, all initiated since 2019. He has systematically collected and crawled data from tweets (11 billion tweets), webpages (4.8 million pages), and various datasets related to disasters, emergencies, shootings, social activities, political events, and technologies.
He teaches graduate and undergraduate courses, including Bigdata analytics, Data Mining, NoSQL databases, Containerization for Bigdata, Advanced database concepts, Introduction to database systems, and Data structures and algorithms.