Faculty & Staff

Professor Fatemeh Emdad completed her Ph.D. in Applied Mathematics with a concentration in Applied Mathematics at Colorado State University. She is the recipient of the top-ranked student academic award from the President of Shiraz University. She is the author of the book High Dimensional Data Analysis and more than 20 journal and conference articles. She completed her postdoctoral degree with the University of Texas Medical Branch and Shriners Hospital for Children Burn Unit when she was the NIH postdoctoral scientist fellow (under Ruth L. ... View Profile

Professor Kong’s research interests focus on data mining and machine learning, with emphasis on addressing the data science problems in biomedical and social applications. Data today involves an increasing number of data types that need to be handled differently from conventional data records, and an increasing number of data sources that need to be fused together. Dr. Kong is particularly interested in designing algorithms to tame data variety issues in various research fields, such as biomedical research, social computing, neuroscience, and business intelligence. ... View Profile

My broad research interests are in analyzing, understanding, and making sense of big data generated from various complex networks in many contexts, including urban network analysis, large-scale network data sampling, measurement, online social behavior modeling. My recent research focuses on exploring the challenges in managing and analyzing big data from urban networks, with an ultimate goal of improving human life quality and designing smarter cities. ... View Profile

I completed my Ph.D. in Information Technology from the Department of Computer Science at George Mason University. Before that, I received MBA in Management Information Systems from California State University, Chico and BEng in Electronic Engineering from the Hong Kong University of Science and Technology respectively. My teaching interests include Database Management Systems, Data Mining, Machine Learning, Predictive Analytics, Decision Support System, Data Structures, Computational Algorithms, and Software Application Programming. ... View Profile

Carolina Ruiz's research interests are in data mining, machine learning, and artificial intelligence. Together with her graduate and undergraduate students, colleagues in computer science and biology, and medical doctors, Ruiz investigates and develops data mining algorithms for genomics and for clinical medicine. In addition to being a faculty member in computer science, she is a founder and active member of the bioinformatics and computational biology program at WPI. She enjoys teaching courses, and advising undergraduate and graduate research projects in data mining and machine learning. View Profile

Decision-making is becoming increasingly complex as data expands and resources decrease. My research centers on using prescriptive (integer optimization) and predictive (machine learning) analytics, together with algorithms, to effectively allocate scarce resources. My work employs mathematical modeling and the development of methods and tools to benefit vulnerable and marginalized individuals, groups, and populations. ... View Profile