Mentors

Data Scholars are matched with a faculty mentors who’s work closely aligns to the scholars areas of interest. Below are some current and previous Data Scholar Mentors.

Program Lead

Vandana Janeja is Associate Dean for Research and Faculty Development in the College of Engineering and Information Technology, Professor of Information Systems department at the University of Maryland Baltimore County (UMBC). She is the director of iHARP, an NSF HDR Institute for Harnessing Data and Model Revolution in the Polar Regions. Her research with a current $15 Million grant portfolio is centered in the area of data science with a focus on spatio-temporal mining, data heterogeneity across multiple domain datasets. She heads the Multi Data lab at UMBC which brings together important societal projects such as climate change, ethics in data science, misinformation detection and security through the lens of her research in data science.She is member of the UMBC ADVANCE Executive committee focusing on diversity in STEM and is a member of the ADVANCE leadership cohort (2020-2021), and an ELATES at Drexel leadership fellow (2021-2022). She is a UMBC innovation fellow (2020-2022) advancing the ideas of including ethics in data science. She served as an expert at NSF supporting data science activities in the CISE directorate (2018-2021). She also served as AAAS S&TP fellow in the Office of the Assistant Director in the Directorate of Computer Information Systems and Engineering (CISE) at NSF (2017-2018). During the fellowship, she helped with the visioning and coordination of cross directorate activities for Harnessing the Data Revolution Big Idea at NSF including Data Science Corps and Open Knowledge Network among others and, related activities in the CISE directorate including Cloud Access.

She has published in various refereed conferences such as ACM SIGKDD, SIAM Data Mining, IEEE ICDM, IEEE ISI and journals such as IEEE TKDE, DMKD, KAIS and IDA. Her research has been funded through federal, state and private organizations including NSF, U.S. Army Corps of Engineers, MD State Highway Administration, CISCO. She holds a Ph.D. in Information Technology from Rutgers University. She completed her MBA from Rutgers University and MS in Computer Science from New Jersey Institute of Technology.

 

Mentors

 

Dr. Karen Chen

 

Dr. Eric Stokan


Josephine M. Namayanja is a Research Associate Professor at the Institute for Harnessing Data and Model Revolution in Polar Regions (iHARP), at the University of Maryland, Baltimore County. Prior to that, she served as an Assistant Professor of Management Science and Information Systems in the College of Management at the University of Massachusetts Boston. Josephine received her Ph.D in Information Systems at the University of Maryland, Baltimore County in May 2015 where she also received her M.S. in Information Systems in May 2010. She received her B.S. in Information Technology from Makerere University Kampala in Uganda in May 2007.

Josephine currently serves as the Executive Director at iHARP. Her research is primarily in data mining and big data, where she has proposed models for applications in climate change adaptability, health care, cyber security, urban mobility, e-commerce, project management, fintech, higher education learning, labor management, criminal justice, agricultural sustainability, and value-based data science for developing economies. She has published her research work in various journals and also presented at various conferences. Josephine has also served on regional and international conferences as well as, on the editorial review board of journals in the area of data mining, big data, decision sciences, business intelligence, and information systems.


Bayu Adhi Tama (Member, IEEE) received the Ph.D. degree in information systems
from Pukyong National University, Busan, South Korea, in 2018. He is currently a
Postdoctoral Researcher with the HDR Institute for Harnessing Data and Model
Revolution in the Polar Regions (iHARP), University of Maryland Baltimore County
(UMBC), Baltimore, MD, USA. He was a Senior Research Scientist with the Institute for
Basic Science, Daejeon, South Korea (2020–2022) and a Postdoctoral Research Fellow
with the Pohang University of Science and Technology (POSTECH) (2018–2020),
Pohang, South Korea. His research interests include machine learning and applied data
science for Earth observation and remote sensing.


Dr. Brian Soller