Dr. Rekab received a PhD in Statistics from the University of Michigan specializing in Bayesian Sequential Design of Experiments under the supervision of Michael B. Woodroofe and Robert W, Keener. He also received a  Masters degree in Statistics from Stanford University

Professor Rekab joined the University of Missouri in fall 2005 as a full Professor of Statistics and served as chairman of the Mathematics- Statistics department until 2007. Prior to joining UMKC, he was a Professor in both the Department of Computer Science and the Department of Mathematical Sciences at Florida Tech in Melbourne, FL. In 2001-2003, he was also a Senior Research Scientist in System Security at the USAF (United States Air Force) Research Lab (Office of Scientific Research). While on leave in 1999-2000, he was Chairman  and Professor in the Department of Mathematical Sciences at Cameron University, Oklahoma. While at Florida Tech, He received the College of Engineering's Faculty Excellence Award in research, and the third major team accomplishment from Sematech Center of Excellence. He has wide-ranging experience as an investigator and consultant in Biostatistics, Engineering Statistics,  and Forensic Statistics. He also served as an expert witness in civil cases and criminal cases. 

He is currently serving as an Associate Editor for the Journal of Sequential Analysis, and a Coordinating Editor of the Journal of Probability and Statistical Science. Dr.Rekab also served on the editorial board of the International Journal of Excellence in Public Sector Management and on the editorial board of the International Journal of Business and Management Research. In 2005-2006, he served as the Vice President of the American Statistical Association (Kansas-Western Missouri) and in 2006-2007, he served as President.

Dr. Rekab authored over 100 refereed publications in International  journals covering various disciplines such as Bio statistics, Engineering Statistics, Forensic Statistics, Computer security, and Software testing. He also presented over 60 seminars worldwide, France, China, Brazil, Australia, North Africa and the Middle East.

Current Research Interests/Consulting: Advanced Statistical Modeling, Data Mining, Sampling Techniques, Statistical Data Analysis,   Environmental Statistics, Design of Industrial Experiments, Statistics in Advanced Manufacturing, Bayesian Sequential Methods with Applications in Advanced Electronic Technology, Statistical Software Testing, Intrusion Detection, Micro RNA, STR DNA, Y-STR DNA, Biometry, Biostatistics,  and Clinical Trials.

Dr.Wu received his Ph.D. in Statistics from University of Missouri-Kansas City in Dec 2013, with co-discipline in telecommunication and computer networking.

He joined Sprint Corporation in 2011 as a business analyst and currently works as a project manager. In Sprint Dr. Wu developed a web tool named "Call Detector" which can detect network issues based on customer complaints. In addition, he developed a time-series cross-sectional churn model which quantifies network effect on customer churn. Furthermore, he works frequently with third-party (RootMetrics and Nielson) data to conduct various business analysis.

Dr. Wu is proficient in handling geo-spacial data as well as real-time high-volume data. In addition to data management, he can perform all kinds of statistical modeling in both empirical and Bayesian ways.

Xing Song is currently an interdisciplinary Ph.D. candidate of Statistics with co-discipline in telecommunication and computer networking, expecting to graduate in 2016.

She is well-trained in various statistical methodologies and data analysis techniques, especially Bayesian statistics, sequential sampling design and statistical modelling. She is proficient in R and SAS and familiar with Python with SQL queries. She got an honored bachelor degree of Commerce with concentration on Finance and minor in Economics, from McMaster University, Hamilton, Canada. And her interaction with multiple disciplines, such as finance, economics, computer science and networking, allowing the pursuit of optimal solutions in a balance of efficiency, effectiveness and computational complexity. She also has provided probability analysis for the research on Roman sarcophagi.