Chase Wu

Chase Wu is a Professor in the Department of Data Science and Director of the Center for Big Data at New Jersey Institute of Technology (NJIT). He previously held the rank of Associate Professor in Computer Science. His research focuses on high-speed networks, big data systems, performance modeling, and machine learning applications. He leads projects funded by the National Science Foundation (NSF), including collaborative research on big data workflows and system performance evaluation. Wu has authored over 300 publications and holds an h-index of 37 with 6,77 citations.

Research Interests: His work spans network optimization, big data transfer efficiency, blockchain security, and AI-driven systems. Notable contributions include frameworks for automated parameter tuning in software systems and intelligent scheduling algorithms for distributed computing. His team develops tools like PTSSBench for performance testing and SRGTNet for image retrieval.

Grants & Projects: Two NSF-funded projects include the ESPRIT testbench for system evaluation and collaborative research on big data scientific workflows. He has secured federal grants totaling over $2M since 2015.

Labs & Teams: Directs the Center for Big Data at NJIT, leading interdisciplinary teams in computational steering, edge intelligence, and cybersecurity solutions. His lab focuses on real-world applications like air quality monitoring systems and radiation detection networks.