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.
Professor, Data Science
Professor of Computer Science and Electrical Engineering
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.
B.S., Computer Science, UMBC
M.S., Computer Science, UMBC
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.
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.
Ph.D., M.Sc., Computer Engineering, University of Central Florida
Graduate Certificate, Project Leadership, Cornell University
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.