Mu Qiao is a Research Staff Member at IBM Research - Almaden. His research is focused on artificial intelligence and machine learning. Dr. Qiao has led multiple projects at IBM Research, including large scale anomaly detection in data protection, cognitive learning for hybrid cloud readiness, deep learning in data assessment & governance services, and knowledge graph for large scale business service information management. His contributions to these projects have been recognized by several IBM awards. Dr. Qiao has served as organization chair, technical program committee member, and reviewer for many top tier international conferences and journals, as well as panelist on U.S. National Science Foundation grant review panels. He is the Industry and Government Program Co-Chair at the 2018 IEEE International Conference on Big Data (BigData).
Dr. Qiao initiated and co-founded the IBM Research Accelerated Discovery Forum (w. Dr. Laura Haas) in 2013, with the mission of bringing together IBM and external distinguished researchers and practitioners to share their expertise in all aspects of big data and analytics. The forum has hosted more than 100 world famous speakers from industry, government, and academia, and attracted over 10,000 attendees. He is currently leading the IBM Invention Developement Team (IDT) for AI, Systems & Solutions Research. He holds 35+ U.S. patents/patent applications in the areas of machine learning, artificial intelligence, cloud computing, information retrieval, and blockchain.
Mu Qiao obtained his Ph.D. in Computer Science and Engineering and M.S. in Statistics from The Pennsylvania State University in 2012. He has held research positions at eBay Research Labs, IBM T. J. Watson Research Center, and Xerox PARC. He obtained his B.S. (Highest Honors) in Computer Science from Harbin Institute of Technology, Harbin, China, in 2007.