Data Science


Ergun Simsek, Ph.D. | Data Science Graduate Program Director

Dr Ergun Simsek Ph.D., in Electrical and Computer Engineering, Duke University
M.S., in Electrical and Computer Engineering, University of Massachusetts Dartmouth
B.S., in Electrical and Electronics Engineering, Bilkent University (Ankara, Turkey)


Dr. Ergun Simsek earned his PhD from Duke University in 2006 and worked as a post- doctoral research associate at Schlumberger Doll Research Center for the following two years. From 2008 to 2017, he was a faculty member at Bahcesehir University (Istanbul, Turkey) and the George Washington University (Washington, DC). In addition to teaching at both undergraduate and graduate levels, he also conducted research on scientific computing for different applications in electromagnetics, photonics, geophysics, material science, and data science. His research was supported by different agencies such as National Science Foundation, TUBITAK, and European Union Research Council. He has published more than 30 peer-reviewed journal papers and made more than 60 presentations at international conferences. He continues researching how to solve emerging engineering problems through efficient and robust computational techniques.

Before joining UMBC, Dr. Simsek was a manager for Exponent, where he teamed up with engineers, scientists, and regulatory specialists for solving challenging problems of consumer electronics, medical device, and IoT appliance manufacturers. Dr. Simsek is a senior member of IEEE and a licensed Professional Engineer.

Feras A. Batarseh, Ph.D. | Adjunct Instructor

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.

Philip Bogden, Ph.D. | Adjunct Professor

Dr. Philip Bogden Dr. Philip Bogden received his Ph.D. from University of California and a Bachelors from Harvard. He specializes in custom data analytics and visualization for a range of clients, including companies in the oil and gas industry and financial services sector. He was previously CEO of a nonprofit organization that provided real-time environmental data as a public service, and spent two years helping develop and implement open data policy and cyberinfrastructure for the National Science Foundation. Previously he served on the faculty of Geology and Geophysics at Yale.

Jim Kukla | Adjunct Instructor

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

Jim Kukla, an adjunct instructor 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, Ph.D. | 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 instructor 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.

Selim Mimaroglu, Ph.D. | Adjunct Instructor

Faculty photo Ph.D., Computer Science, University of Massachusetts Boston
M.S., Computer Science, University of Massachusetts Boston
B.S., Electrical and Electronics Engineering, Hacettepe University

Dr. Selim Mimaroglu is a Data Science Manager at Oracle. He earned a PhD degree in computer science from University of Massachusetts Boston in 2008. Dr. Mimaroglu has published peer reviewed articles on frequent item set detection, clustering, combining multiple clusterings, sequential pattern mining, genetic algorithms, automated valuation models, churn management, text mining, and recommender systems. In recognition of his work, he received: “Award of Excellence” from the US Federal Government and “Outstanding Achievement in Computer Science” from University of Massachusetts. Dr. Mimaroglu received funding from private organizations and government bodies for conduction research and building proof of concept implementations in the areas of bundling, pricing and churn management. Dr. Mimaroglu worked as an Associate Professor at Bahcesehir University and Okan University in Istanbul.

Waleed Youssef, Ph.D. | Adjunct Instructor

Waleed Youssef Ph.D., Computer Science, UMBC
M.S., Computer Science, The Pennsylvania State University
B.S., Engineering, Alexandria University

Waleed Youssef is an adjunct instructor in UMBC’s Department of Computer Science and Electrical Engineering (CSEE). He joined UMBC as an adjunct instructor teaching graduate level data science classes. He uses his 20+ years of experience in the IT industry to provide students with professional engineering experience and hands-on experience in the field. Dr. Youssef works at IBM, as a Chief Architect. He joined IBM in 2008 after earning his Ph.D. degree from UMBC in Computer Science. Dr. Youssef also has a Master's degree in Computer Science from Penn State University. His undergraduate studies were in Computer Engineering.

Dr. Youssef has many published research papers in cognitive computer and wireless sensor networks. His current work areas include cloud architecture, data science, AI, and IoT. His areas of expertise include Cognitive Computing, Data Science, and Artificial Intelligence.

UMBC at The Universities at Shady Grove · 9636 Gudelsky Drive, Rockville, MD 20850
301-738-6081 · · © UMBC Division of Professional Studies