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Data Science

Faculty

Tim Oates, Ph.D. | Acting Graduate Program Director

Acting Graduate Program Director, Data Science
Professor of Computer Science and Electrical Engineering

Ph.D., Computer Science, U.Massachusetts, Amherst, 2000
M.S., Computer Science, U. Massachusetts, Amherst, 1997
B.S., Computer Science, B.S., Electrical Engineering, 1989

 

Dr. Tim Oates is a Professor in Computer Science and Electrical Engineering (CSEE) department and Director of the University of Maryland Baltimore County’s (UMBC) Cognition, Robotics, and Learning (CoRaL) Laboratory. He received his Ph.D. in Computer Science from the University of Massachusetts Amherst in 2001 and spent a year as a Post-doc in the MIT AI Laboratory. He was appointed an Oros Family Professor of Computer Science to work on a project to improve healthcare in developing countries.

He pursues research in the fields of machine learning, artificial intelligence, natural language processing, mobile healthcare, and robotics. Specifically, he is interested in developing a theoretical and algorithmic basis that will allow machines to replicate the human transition from sensors to symbols to semantics. Previously, Dr. Oates  worked as aChief Data Scientist at CircleBack.

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.

Amen Ra Mashariki | Adjunct Instructor

Amen Ra Mashariki Ph.D., Information Engineering, Morgan State University
M.S., Computer Science, Howard University
B.S., Computer Science, Lincoln University

Amen Ra Mashariki, an adjunct professor with UMBC's Department of Computer Science and Electrical Engineering, leads Urban Analytics at Esri. Esri is a digital mapping pioneer that builds big data and analytics software that provides location intelligence and insights for almost every industry.

As the head of Urban Analytics at Esri, Dr. Mashariki is responsible for the messaging and strategy for applying data science principles to urban challenges, ensuring that data-driven decision makers will realize impactful and positive outcomes in urban policy and operations. Previously Dr. Mashariki was Chief Analytics Officer for the City of New York and the Director of the Mayor’s Office of Data Analytics. He ran the civic intelligence center that allowed one of the largest cities in the world to aggregate and analyze data from across agencies.

In 2012, Dr. Mashariki was one of eleven individuals appointed by the President of the United States to the 2012-2013 class of White House Fellows. Immediately after the Fellowship he was appointed the Chief Technology Officer for the Office of Personnel Management.

Dr. Mashariki currently serves as a Fellow at the Harvard Ash Center for Democratic Governance and Innovation.

Feras A. Batarseh, Ph.D. | Research Assistant Professor

Feras Batarseh Ph.D., M.Sc., Computer Engineering, University of Central Florida
Graduate Certificate, Project Leadership, Cornell University

Dr. Feras A. Batarseh is a Research Assistant Professor with the College of Science at George Mason University (GMU), in Fairfax, VA. His research spans the areas of Data Science, Artificial Intelligence, and Context-Aware Software Systems. Dr. Batarseh obtained his Ph.D. and M.Sc. in Computer Engineering from the University of Central Florida (UCF) (2007, 2011), and a Graduate Certificate in Project Leadership from Cornell University (2016).

His research work has been published at various prestigious journals and international conferences. Additionally, Dr. Batarseh published and edited several books and book chapters. Dr. Batarseh has taught data science and software engineering courses at multiple universities including GMU, UCF as well as George Washington University (GWU).

Prior to joining GMU, Dr. Batarseh was a Program Manager with the Data Mining and Advanced Analytics team at MicroStrategy, Inc., a global business intelligence corporation based in Tysons Corner, Virginia. During his tenure, he helped several clients make sense of their data and gain insights into improving their operations. For more information on his research, and contact details, please refer to his webpage.



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