Data Mining and Big Data Analytics
Data Mining and Big Data Analytics stand at the intersection of statistical analysis and machine learning, wielding the power to extract meaningful patterns from vast data sets. Here at SIU Carbondale, our dedicated researchers are constantly exploring innovative methods to harness the potential of enormous volumes of data. Our work spans areas like predictive analytics, clustering, and classification, as we tackle real-world challenges from e-commerce recommendations to predictive healthcare. By employing cutting-edge techniques and algorithms, we aim to translate raw data into actionable insights, driving informed decision-making and creating a transformative impact across numerous industries.
Faculties Working on Data Mining and Big Data Analytics
Dunren Che
Professor
Education:
Ph.D., Computer Science, Beijing University Of Aeronautics and Astronautics
Current Research Interests:
Database & Data Mining, Big Data Management & Analysis, Machine Learning & Recommendation, Cloud & Fog/Edge Computing, Crowdsourcing, Scientific Workflow, Personalized Learning
Website: https://www.cs.siu.edu/~dche
Director: Cloud Computing & Big Data Lab
Khaled Ahmed
Associate Professor
Office: Engineering A0307C
Phone: (618) 453-6048
Email: kahmed@cs.siu.edu
Education:
Ph.D., Computer Science, Tokyo Institute of Technology
Current Research Interests:
High-Performance Computing, Distributed and Parallel computing, Peer-to-Peer computing, Big Data, Machine Learning, and Image processing.
Website: https://www.cs.siu.edu/~kahmed
Xiaolan "Sharon" Huang
Assistant Professor
Education:
Ph.D., Computer Science, Southern Illinois University
Current Research Interests:
Bioinformatics, big data analytics, machine learning, high performance computing.
Website: https://www.cs.siu.edu/~xhuang
Director: Bioinformatics & HPC Research Lab
Zhong Chen
Assistant Professor
Education:
Ph.D., Computer Science, Wuhan University of Technology
Current Research Interests:
Development, analysis, implementation, and experimental evaluation of big streaming data mining algorithms, deep learning techniques, and applications in healthcare and medical physics.
Website: https://www2.cs.siu.edu/~zchen/
Director: Learning, Optimization, and Analysis from Data Lab (LOAD Lab)
Chun-Hsi "Vincent" Huang
Director of the School of Computing
Education:
Ph.D., Computer Science and Engineering, State University of New York at Buffalo
Current Research Interests:
Extreme-Scale Computing and Data Analytics, Computational Biology, Security and Applied Algorithmics.
Xiaoqing "Frank" Liu
Professor, Dean of the College of Engineering
Education:
Ph.D., Computer Science, Texas A&M University
Current Research Interests:
Cyber argumentation based social media and networking, data analytics based recommendation systems, service computing, cyber physical systems, software engineering, applied artificial intelligence, and advanced computing and data applications.