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Data Science

Faculty

Abhijit Dutt, Ph.D. | Graduate Program Director

Graduate Program Director, Data Science
Professor of the Practice, Computer Science and Electrical Engineering (CSEE)

Abhijit Dutt has a PhD in Information Systems from University of Wisconsin-Milwaukee and a MS in Computer Science from University of Tulsa. Before joining UMBC, Dr. Dutt taught at George Mason University and Penn State University. Before coming to academia, he worked for more than ten years in companies such as Motorola, Tellabs and Cabletron; he developed software for different networking devices. Dr. Dutt was also an investigator of a NSF grant on Enhancing Distance Learning in Information Security.

Dr. Dutt’s research interest includes Data Analytics and Cloud Computing. He has published papers in peer reviewed journals such as Information Systems and e-Business Management. He has presented many research papers in peer reviewed IS conferences such as ICIS, AMCIS etc. Currently he is working on research papers on managerial issues in cloud computing.

Jim Kukla | Graduate Faculty

B.S., Computer Science, UMBC
M.S., Computer Science, UMBC

Jim Kukla, an adjunct professor with UMBC's Department of Computer Science and Electrical Engineering since 2014, has nearly 20 years of experience as a software developer, researcher, and educator. He co-founded and is the current CTO of RedShred, a software development company focused on helping business users extract critical information from unstructured text documents. In addition to years of experience with software engineering, he also has a strong background in management and leadership as well as a wide variety of development frameworks and languages (including reactjs, django, python, javascript, C++, C, java, lisp, mysql, postgresql, mongodb, elastic, and more).

He graduated from UMBC with a B.S. in Computer Science in 1997 and continued on in the department, earning his M.S. in 2000. His areas of focus included 3D graphics, visualization, and animation. In addition, he was an active member of Upsilon Pi Epsilon and the Computer Science Council of Majors. Jim brings a strong understanding of Machine Learning, Deep Learning, and NLP to the Data Science department at UMBC.




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