Dr. Brown is an internationally published researcher in the fields of Artificial Intelligence (AI) and Software Engineering. He has applied advanced AI methods to solve problems in biology, finance, software testing, military purposes and others. He has assisted more than 20 students in conducting and publishing research. He has published over 30 research papers. In 2019 he was awarded a Fulbright grant to do research abroad at General Tadeusz Kosciuszko Land Forces Military University in Wroclaw Poland.
Dr. Jennifer Carter received her Doctor of Management degree and Bachelor of Science in electrical engineering from the University of Maryland. Prior to joining UMBC, Dr. Carter retired from a government career as an engineer and senior executive. Her experience includes designing information collection and analysis systems, managing the modernization of Navy business systems, and leading the development of major defense information technology portfolios. Dr. Carter’s experience includes adjunct faculty positions for Information Systems Management at UMUC and Computer Science at Howard Community College. Her government awards include both Meritorious and Exceptional Civilian Service awards.
C. Augusto Casas, Ph.D., Nova Southeastern University (email@example.com) [Lecturer]
Dr. Casas has over a decade of higher education teaching experience in the fields of information systems and computer science. His teaching philosophy focuses on applying active learning techniques to help students accomplish their learning goals and the development of effective online teaching methods. Dr. Casas is a student-centered instructor that brings field experience to the online classroom. Prior to becoming a professor, Dr. Casas worked in industry designing and developing Supervisory Control and Data Acquisition (SCADA) systems for major oil and power utility companies in the Americas, the Middle East, and Southeast Asia. He has conducted research in financial technology (FinTech) and received his Ph.D. degree from Nova Southeastern University and an MBA from the University of Connecticut.
I am an applied machine learning and data science researcher interested in developing data enabled technology for Personalized, Persistent and Practical Support for Human Flourishing. I am interested in education and healthcare research aiming to promote lifelong and lifewide learning and well-being. I am interested in the design of effective and inclusive interventions for a diverse population, especially those traditionally with limited voices in technology development. I received a Ph.D. and master degree in Information Systems and M.S. in Statistics, all from Carnegie Mellon. I was a research staff member at Auton Lab at Carnegie Mellon for over 15 years and was a fellow of PIER (Program in Interdisciplinary Educational Research) funded by the US Department of Education.
My research covers following areas: Privacy preserving data mining and data management. I am interested in algorithms for preserving privacy of data and at the same time allows accurate analysis of the data. Data Exploration and Navigation. Database users often find it difficult to find useful information from databases. Their queries often return too many irrelevant answers. I am interested in using data mining, navigation, and information retrieval techniques to help user narrow down their scope of search and quickly locate relevant answers. Semantic-based Search and Data Integration Using Semantic Networks. My research develops a technique that uses semantic network to capture relationships between data objects and helps users find related information. The semantic network can also be used in data integration to find relevant data sets to integrate.
Amy’s interests include computer-based systems, management information systems, systems analysis and design.
James (a.k.a. Jimmy) Foulds is an Assistant Professor in the Department of Information Systems at UMBC. His research interests are in both applied and foundational machine learning, focusing on probabilistic latent variable models and the inference algorithms to learn them from data. His work aims to promote the practice of latent variable modeling for multidisciplinary research in areas including computational social science and the digital humanities. He earned his Ph.D. in computer science at the University of California, Irvine, and was a postdoctoral scholar at the University of California, Santa Cruz, followed by the University of California, San Diego. His master’s and bachelor’s degrees were earned with first class honours at the University of Waikato, New Zealand, where he also contributed to the Weka data mining system.
Aryya Gangopadhyay is a Professor in the Department of Information Systems at UMBC. He has been a faculty member at UMBC since 1997. His recent courses include Computational Methods in Information Systems Research, Introduction to Data Mining, and Database Management Systems.
Dr. Gangopadhyay’s research interests are in the areas of databases and data mining. Currently, he is focused on privacy preserving data mining, spatio-temporal data mining, and data mining for health informatics. His research has been funded by grants from NSF, NIST, US Department of Education, Maryland Department of Transportation, and other agencies. Dr. Gangopadhyay has published five books and nearly 100 research articles. He holds a Ph.D. in Computer Information Systems from Rutgers University.
Md Osman Gani is an Assistant Professor in the Department of Information Systems at UMBC. He is also a faculty research associate in the Regenstrief Center for Healthcare Engineering at Purdue University. His research centers in artificial intelligence, causal inference, and machine learning with an interest in contributing to a deeper understanding of cause and context. His research interests include explainable artificial intelligence, ubiquitous computing, indoor localization, healthcare, and human activity recognition. The foundation of his research has applied the knowledge from computer science, applied mathematics, and statistics Before joining UMBC, he was a Visiting Assistant Professor in the department of computer science and software engineering at Miami University. He received BS in Computer Science and Engineering from Military Institute of Science & Technology, Bangladesh, MS and Ph.D. in Computational Sciences from Marquette University.
Dina Glazer has a B.S. in Information Systems and M.S. in Operations Analysis. She has been teaching networking and data communications courses at UMBC since 2000. Dina has multiple years of industry experience as a Network Administrator/Engineer.
My research is focused on the participatory design and evaluation of emerging systems, including digital living media systems and adaptive systems, for different users including children and adults with and without disabilities. I am also interested in designing inclusive and sustainable maker processes, tools and programs for diverse communities.
My area of interest is Data mining specifically anomaly detection and spatio-temporal data mining. Overall, my work has focused on advancing theoretical research motivated by practical applications. As a result, I have had the opportunity to participate in the various aspects of high impact and national interest projects with various government agencies and private organizations. My research has always resulted in strong proof of concepts in real world applications with underlying strong theoretical foundations. Most of this work has been possible due to the diligent work of my students. Some of my current students and their ongoing research projects are highlighted in the following. View the publications list for more details.
Karuna Pande Joshi is an Associate Professor of Information Systems at UMBC. She is also affiliated with the Computer Science department. Her research areas are Data Science, Cloud Computing, Services Science and Healthcare IT systems. Her research is supported by ONR, NSF, DoD, IBM, GE and Cisco. She teaches courses in Big Data, Software Engineering and Systems Design. She received her MS and PhD in Computer Science from UMBC, where she was twice awarded the IBM PhD Fellowship, and her Bachelors in Computer Engineering from the University of Mumbai, India.
Dr. Joshi also has extensive experience of working in the industry primarily as an IT manager. She worked at the International Monetary Fund for nearly a decade. She has also worked for MORENet, Missouri and Silverline Industries Ltd. in India. Her managerial experience includes IT Portfolio management, Program/Project management and Change Management.
Margaret Kahl, (firstname.lastname@example.org) [Lecturer]
Margaret Kahl has a B.S. in Information Systems and a M.S. in Operations Analysis. She has taught at UMBC since 1990 (as well as other universities during that time). Margaret Kahl’s courses include: Systems Analysis and Design, Integrating Technology into Business Operations; Database Design, Management Information Systems, Project Management, Decision Support Systems, and Management at undergraduate and graduate levels. In addition to her academic background, she has extensive industry experience as a Systems Analyst.
George Karabatis is a Professor of Information Systems at UMBC. He holds degrees in Computer Science (Ph.D. and M.S.) and Mathematics (B.S.). His research interests are on various aspects of database systems, including semantic information integration, and applications for mobile handheld devices. Before joining UMBC he was a Research Scientist at Telcordia Technologies (formerly Bellcore) working on database related research for the telecom industry. His research work has been published in journals (such as Journal of Database Management, Decision Support Systems, Information Systems Frontier, Distributed and Parallel Databases, IEEE Computer), conference proceedings and book chapters.
Andrea Kleinsmith is an Associate Professor in the Department of Information Systems. Andrea’s primary research interests are in Human-Computer Interaction and Affective Computing and focus on measuring and modeling body expressions in real world training situations. In one area, she examines human behaviors such as empathy that may be understood from medical students’ interactions with virtual patient training systems. In another area, she models users’ body expressions in order to endow systems with the ability to automatically recognize affect from the body. Andrea’s current aim is to build affect recognition training systems for complex real world situations in the wild with populations such as first responders and other emergency services. Dr. Kleinsmith has held postdoctoral researcher positions in the Virtual Experiences Research Group in the Computer and Information Science and Engineering Department at the University of Florida and in the Embodied AudioVisual Interaction Group at Goldsmiths, University of London in the UK. She received a PhD in Computer Science from University College London, UK, an MSc in Computer Science from the University of Aizu in Japan, and a BA in Psychology from the University of Oregon.
Anita Komlodi is Associate Professor. Dr. Komlodi’s research interests fall in the area of Human-Centered Computing. The first area of concentration is at the intersection of Human-Centered Computing and Information Retrieval/Information Behavior and focuses on the study of Human Information Behavior and the design of user interfaces for information systems. Dr. Komlodi is also interested in the needs of diverse user groups go technology: age, gender, and cultural differences in technology interactions. Dr. Komlodi’s teaching reflects these interests in courses on Human-Centered Computing, Web Design, and User Interfaces for Information Retrieval and Visualization.
Dr. Koru is a tenured Professor in the Department of Information Systems at UMBC. His research interests generally fall under health information technologies, health information privacy and security, IT in Health Services, and software engineering. He teaches a number of related courses at the undergraduate and graduate levels.
He received a PhD degree and an MS Degree in Computer Science and Software Engineering, respectively, from the Southern Methodist University (SMU), Dallas, Texas. He received an MS Degree in Computer Engineering from Dokuz Eylul University, Izmir, Turkey and a B.Sc. Degree in Computer Engineering from Ege University, Izmir, Turkey. He is a member of AMIA. He serves in the Policy Board for Health Information Exchange organized by the State of Maryland’s Maryland Health Care Commission (MHCC).
Ravi Kuber is an Associate Professor of Information Systems at UMBC. His research examines the ways that the sense of touch can be used within an interface, when the user’s visual channel is blocked, restricted or overloaded. He has designed haptic and multimodal interfaces to support individuals who are blind and older adults to overcome the barriers faced when accessing graphical user interfaces. He has also examined ways to develop tactile feedback to augment the process of mobile interaction. Other areas of interest include applying non-visual technologies to address the trade-offs associated with authentication. He received his Ph.D. from Queen’s University Belfast, Northern Ireland, and M.Sc. and B.Sc. degrees from University College London, UK.
Aaron Massey is an Assistant Professor of Software Engineering at UMBC and the Co-Director of ThePrivacyPlace.org. His research interests include computer security, privacy, software engineering, and regulatory compliance in software systems. Aaron is a recipient of the Walter H. Wilkinson Graduate Research Ethics Fellowship and a recipient of a Google Policy Fellowship. Before coming to UMBC, he was a Postdoctoral Fellow at Georgia Tech’s School of Interactive Computing. Aaron earned a PhD and MS in Computer Science from North Carolina State University and a BS in Computer Engineering from Purdue University. He is a member of the ACM, IEEE, IAPP, and the USACM Public Policy Council.
My research interests span the areas of human-computer interaction, computer supported cooperative work, and biomedical informatics. I specifically focus on engaging in a translational research approach to align coordinated clinical practices with information technology such as gestural interaction in the OR, informal data sharing in the emergency room, and health information sharing between chronically ill patients and their caregivers. My current work is on the design and coordinated use of interactive surgical systems, specifically in minimally invasive surgical practices. I’ve held postdoctoral and research fellow positions at Harvard Medical School and the Cambridge Health Alliance, at University of Cambridge and Microsoft Research Cambridge, and at the Swedish Institute of Computer Science. I received a PhD in Information Sciences and Technology from The Pennsylvania State University, MS in Communication from Cornell, and BS in Psychology from Virginia Tech.
My areas of research interest include usability testing, user preferences and Human Computer Interaction (HCI) applications in the domains of World-Wide-Web, mobile computing, electronic and mobile commerce, online communities, and health care. My recent publications appeared in Behaviour and Information Technology, International Journal of Human Computer Interaction, Journal of Organizational Computing and Electronic Commerce, and the Human Computer Interaction Handbook Second Edition. I am currently on the Editorial Board of International Journal of Human Computer Interaction, and Associate Editor of International Journal of Electronic Financeand Electronic Government: An International Journal. My recently funded research is focused on the topics including technology perceptions among middle school students with a gender emphasis supported by the National Science Foundation (NSF) and investigation of technology-supported medication adherence among the elderly population supported by Erickson Retirement Communities, among others.
Dr. Shimei Pan received a Ph.D. in Computer Science from Columbia University in New York City. Before joining UMBC, Dr. Pan was a research scientist at IBM T. J Watson research center in Yorktown Heights, New York. Her primary research interests are natural language processing, intelligent user interfaces and user modeling. Currently, she is working on interactive machine learning and data mining (e.g., combining text analytics with data visualization to facilitate large-scale interactive text exploration) and social media-based user modeling (e.g., social media-based personal trait, emotion, behavior and expertise modeling). Previously, she has worked on applying natural language processing to insider threat detection, email analytics and intelligent multimedia multimodal conversation systems.
Sanjay Purushotham received his M.S and Ph.D in Electrical Engineering from the University of Southern California (USC) and held Postdoctoral Scholar positions in the Department of Computer Science and Integrated Media Systems Center (IMSC) at USC. His research interests are in machine learning, data science, computer vision and its applications to healthcare & bio-informatics, social network analysis, and multimedia data mining. His current work involves developing novel deep learning models for data-driven analysis of healthcare time series data and building machine learning models for mathematical oncology.
Dr. Maryam Rahnemoonfar joined UMBC in 2019 as a Tenured Associate Professor of AI. Her research interests include Deep Learning, Computer Vision, Data Science, AI for Social Good, Remote Sensing, and Document Image Analysis. Her research specifically focuses on developing novel machine learning and computer vision algorithms for heterogenous sensors such as Radar, Sonar, Multi-spectral, and Optical. Her research has been funded by several awards including NSF BIGDATA award, Amazon Academic Research Award, Amazon Machine Learning award, and IBM.
Prior to UMBC, she was an Assistant Professor of Computer Science in the School of Engineering and Computing Sciences at Texas A&M University-Corpus Christi (TAMUCC) where she was directing Computer Vision and Remote Sensing Laboratory (Bina Lab). She is the president and founder of the Corpus Christi Women in Machine Learning and Data Science (WiMLDS) chapter and the ambassador of Women in Data Science (WiDS) at Stanford University. She received her Ph.D. degree in Computer Science from the University of Salford Manchester, UK in 2010.
My research interests lie at the intersection of health informatics, human-computer interaction, and computer-supported cooperative work. I take a socio-technical lens to understand how we can improve the design and implementation of technologies that connect, facilitate interaction, and support the independent and collaborative health information work of individuals (e.g., patients, general public) and health professionals (e.g., doctors, public health practitioners). Examples of such technologies include patient portals, Apple Health Records, and COVID-19 Contact Tracing applications. I am particularly interested in examining how we can mitigate the risk of these technologies exacerbating health disparities by providing another advantage to already advantaged groups.
Prior to joining UMBC, I earned a Ph.D. in Informatics from UCI, a M.A. in Information from University of Michigan, a M.P.H. in Epidemiology and International Health from Boston University, and a B.A. in Biology from Lawrence University. I also worked as a program manager in the public health sector for several years and was a Peace Corps volunteer in South Africa.
Nirmalya Roy is an Associate Professor in the Department of Information Systems at UMBC. His current research interests include pervasive healthcare, sensor-driven health and green technologies, design and modeling of smart environments, and mobile and pervasive systems. He directs the Mobile, Pervasive and Sensor Computing (MPSC) group at UMBC. He received his Ph.D. and M.S. in Computer Science and Engineering from the University of Texas at Arlington in 2008 and 2004 respectively.
William Ryan, M.S., Central Michigan University (email@example.com) [Lecturer]
Lecturer, Senior Fellow, Adjunct Professor and Local Government CIO. Senior Technology Executive with both private sector and public service. Highly experienced, with a proven record of implementing successful and complex projects and solutions that incorporate a variety of applications and technologies. A solutions provider that consistently improves organizational efficiency and effectiveness. Exceptional frontline technical expertise that aligns the business processes and IT infrastructure to realize organizational performance improvements and cost savings.
Dr. Samarah is a computer scientist and engineering executive with experiences in teaching, administration, industry, and research. His area of interest is in the intersection of big data, intelligent applications, and real-time systems. Dr. Samarah received a bachelor’s in engineering from Northern Arizona University in Computer Science and Engineering and holds a master’s and doctorate degrees in Computer Science from Florida Institute of Technology. Dr. Samarah’s industry and academic experiences include senior leadership positions at Harris Corporation (now L3Harris) in Melbourne, Florida, senior engineering positions with Emulex Corporation in Seattle, and a founding member of Florida Polytechnic University college of engineering and college of innovation and technology in Lakeland, Florida.
Dr. Sreedevi Sampath is an Associate Professor of Information Systems at the UMBC. Her research is in the broad area of software engineering, with specific emphases on software testing, web applications, security, program analysis, and empirical studies. She holds a Ph.D. and M.S. in Computer and Information Sciences from the University of Delaware, USA, and a B.E. from Osmania University, India. Her research is supported by external grants from federal funding agencies, such as the National Institute of Standards and Technology (NIST).
Dr. Seaman is a Professor of Information Systems at UMBC. Her research generally falls under the umbrella of empirical studies of software engineering, with particular emphases on maintenance, organizational structure, communication, measurement, COTS-based development, and qualitative research methods. She holds a PhD in Computer Science from the University of Maryland, College Park, a MS in Information and Computer Science from Georgia Tech, and a BA in Computer Science and Mathematics from the College of Wooster (Ohio). She has worked in the software industry as a software engineer and consultant, and has conducted most of her research in industrial and governmental settings (e.g. IBM Canada Ltd., NASA, Xerox).
Dana Smith, M.S., UMBC (firstname.lastname@example.org) [Senior Lecturer]
Dana Smith has a B.S. in Business Administration- Information Systems concentration, a M. Ed in Education Administration and a M.S. in Information Systems. She has taught at UMBC since 1999, and prior to that, Salisbury University. Dana Smith’s courses include: Information Systems Logic and Structured Design, Intermediate Business Applications and Advanced Business Applications. She teaches computer programming on occasion. Ms. Smith worked in the Banking and Marketing industries for many years in a variety of positions, including computer programming. She is actively involved in community service focusing on individuals in addiction treatment.
Richard Sponaugle, M.S., UMBC (email@example.com) [Senior Lecturer] [Undergraduate Program Director, IS]
Richard Sponaugle has A.A. degrees in Hospitality Management and Computer Science from Montgomery College and a B.S. and M.S. in Information Systems from UMBC. He has been associated with UMBC for almost twenty years, working as a staff member, and then later as part time and full time faculty. In addition to his academic background, he has industry experience in systems development and management. His main teaching interests are in the areas of business management and ethics, programming, and systems analysis and development.
Erin Van Dyke, Ph.D., UMBC (firstname.lastname@example.org) [Professor of Practice]
With ten years of experience in the healthcare industry overseeing and evaluating programs, teaching, designing curricula, engaging clinical stakeholders, and conducting health information technology research.
Dr. Jianwu Wang is an Associate Professor of Data Science in the Department of Information Systems at UMBC. He is also an Affiliated Faculty at the Joint Center for Earth Systems Technology (JCET), UMBC. His research interests include Big Data Analytics, Scientific Workflow, Distributed Computing, Service-Oriented Computing and End-User Programming, with current application focuses on climate and manufacturing. He has published more than 80 papers with over 1200 citations. He is Associate Editor or Editorial Board Member of four international journals, Co-Chair of five international workshops. He has been serving as Program Committee member for over 40 conferences/workshops. Before joining the UMBC, he worked as a scientist at the University of California, San Diego (UCSD) and a main researcher for the Kepler open source scientific workflow system, one of the most cited and well-adopted scientific workflow products. He received his Ph.D. degree in Computer Science from the Institute of Computing Technology (ICT), the Chinese Academy of Sciences (CAS) and B.S. in Computer Science from Tianjin University. Since joining UMBC in 2015, he has received multiple grants as PI funded by NSF, NASA, DOE, State of Maryland, and Industry.
I am an Assistant Professor in the Information Systems Department at UMBC. My research lies in the intersection of Human-Computer Interaction (HCI), Usable Privacy, and Design. Traditionally, empirical privacy research has focused on the privacy concerns and needs from the individual user’s level. Nowadays, evolving networked environments, such as the Internet of Things (IoT) and Smart Homes, are transforming the privacy landscape considering the conflicting privacy needs, imbalanced power dynamics, and social confrontations among different stakeholders beyond a single user. Thus, my research shifts the research focus from the privacy experiences of single users to that of multiple stakeholders in these environments. The overarching goal of my research is to develop novel privacy-enhancing technologies to address the privacy needs of multiple stakeholders in shared systems such as the IoT, Smart Homes, and Smart Cities. To achieve the goal, I use qualitative (e.g. interviews), quantitative (e.g. surveys), and design (e.g. systems building, participatory design, speculative design) methodologies.
Henry Emurian (email@example.com) [Associate Professor Emeritus]
Jeff Martens (firstname.lastname@example.org) [Lecturer Emeritus]
Anthony F. Norcio (email@example.com) [Professor Emeritus]
Roy Rada (firstname.lastname@example.org) [Professor Emeritus]
Tate Redding (email@example.com) [Senior Lecturer Emeritus]
Valeri P. Scott (firstname.lastname@example.org) [Lecturer Emeritus]