umbc computer science professors

College of Engineering and Information Technology Dr. Komlodi is also interested in the needs of diverse user groups go technology: age, gender, and cultural differences in technology interactions. He is also a faculty research associate in the Regenstrief Center for Healthcare Engineering at Purdue University. To achieve the goal, I use qualitative (e.g. Ph.D., University of Pittsburgh, 2017. 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. Adam Bargteil, Associate Professor Applicants should have or be completing a Ph.D. in a relevant discipline, have demonstrated the ability to pursue a funded research program, have a strong commitment to undergraduate and graduate teaching, and have a strong commitment to diversity and inclusive excellence. 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). He currently sits on the Presidential Advisory Committee (PAC) and serves as a member of the OSA Diversity, Equity and Inclusion Rapid Action Committee (DEI RAC). Dr. Sidas (Sy) Saulynas has nearly three decades of higher education teaching experience, most recently as an Associate Professor of Information Systems at Stevenson University. Computational photonics; wave propagation and scattering in complex media; nano-photonic and optoelectronic device design; applications of machine learning in electromagnetic inversion and device design. In addition, she has worked in a multitude of industries, and has experience in implementing large scale IT projects in various industries ranging from defense, healthcare, and education. The students were Priya Ramakrishnan (Sophomore), Eric Schmitt (Senior), Charles Shelton (Sophomore), Justin Sun (Senior) and Amen Zwa (Graduate). Dr. Samarah is a computer scientist and engineering executive with experiences in teaching, administration, industry, and research. Ph.D., Electrical Engineering, University of Maryland, Baltimore County, 2002, Maya Larson, Professor of the Practice Zhang received a Ph.D. in Computer Science from McMaster University. Aaleyah Lewis, B.S. This research will focus on understanding spoken language about the physical world from diverse groups of people, resulting in systems that are more able to robustly handle a wide variety of real-world interactions. Her research is supported by ONR, NSF, DoD, IBM, GE and Cisco. The College of Engineering and Information Technology (COEIT) at UMBC crosses the boundaries of engineering, computing, and information disciplines to develop research and educational programs that engage faculty, students, and staff from all of the disciplines. 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. Her research interests are in applying machine learning, data mining, and visualization to multivariate time series analysis, specifically to large repositories of clinical and biological data (now known as Clinical Informatics and Biomedical Data Science), creating a voice programming language (assistive technology), and advocating and working towards high-quality computer and data science education for all. Sy is also involved in Assistive Technology research, most recently examining how technology may be used to assist blind and visually impaired runners. As robots engage in tasks as diverse as helping with household work, deploying medication, and tutoring students, it becomes increasingly critical for them to interact naturally with the people around them. He has also been a visiting Assistant Professor at UMBC since 2018 and taught in both the Computer Science and Data Science programs. If you click Accept below to accept the general cookie consent, then a wpgdprc-consent cookie will be stored on your browser, to record your general consent. Mobile and high-performance computer networks; computer arithmetic algorithms; VLSI implementations; signal processing; neural networks; digital and analog VLSI design and CAD. If you click Accept below to accept the general cookie consent, and also have Google Analytics cookies enabled (on the sidebar to the left), the CSEE Department website will store and access Google Analytics cookies on your browser. Hyperspectral imaging is a technique in remote sensing data processing that expands and improves multispectral image analysis capability. applicants are expected to have had the equivalents of the following computer science courses at UMBC: CMSC 203: Discrete Structures CMSC 313: Computer Organization and . The CAREER award is part of the NSF Faculty Early Career Development Program and is considered one of NSFs most prestigious grants. Before joining UMBC, he was with Honeywell International Inc., where he led multiple projects to build integrated fault-tolerant avionics and dependable computing infrastructure and participated in developing the Redundancy Management System for the Vehicle and Mission Computer for NASAs X-33 space launch vehicle. Dr. Brown is an internationally published researcher in the fields of Artificial Intelligence (AI) and Software Engineering. Robotics, machine learning, natural language processing, human-robot interaction, and artificial intelligence. The position in the ranking was based on H-index value from Google Scholar. Ph.D., University of Massachusetts, 1994. UMBC Open-rank, tenured/tenure-track faculty positions Research areas include renewable energy and sustainability. His contributions to these areas have been of great importance, with many highly innovative ideas and techniques that are now currently being used in academia and industries for analyzing and interpreting remotely sensed hyperspectral data. He teaches classes in the areas of applied Business Statistics, Management Science, Data Analytics, Operations Management, Logistics, Lean Six Sigma and Global Supply Chain at both Undergraduate and Graduate levels. Now: Maryland Max Planck Ph.D. program. and B.Sc. She teaches computer programming on occasion. | 410-455-3500 Statistical Signal Processing, Machine Learning, Optimization, Wireless Networks, Smart Grids, Biomedical/Brain Data Analysis. The RSSIPL lab has produced more than 40 Ph.D. graduates, nearly 50 M.S. He is also APICS and Six Sigma certified. Ryan Robucci, Associate Professor in Epidemiology and International Health from Boston University, and a B.A. UMBC Graduate School 1000 Hilltop Circle Baltimore, MD, 21250 Phone Number Available Monday through Friday, from 8:30am to 4:30pm. This project will enable robots to learn to perform tasks with human teammates from language and other modalities, and then transfer what they have learned to other robots with different capabilities in order to perform different tasks. Ph.D. and Medical Physics Resident, Johns Hopkins University, 2010. UMBC is a charter member of INCS-CoE. His current research interests include pervasive healthcare, sensor-driven health and green technologies, design and modeling of smart environments, and mobile and pervasive systems. CSEE professor Cynthia Matuszek received an NSFCAREER award to support her research on improving the ability of robots to interact with people in everyday environments. In her professional career, Zehra has worked in various industries to assist in standardizing IT processes, while maintaining a technical foundation throughout. She is also affiliated with the Computer Science department. Dr. Casas is a student-centered instructor that brings field experience to the online classroom. High-performance computing, AI, and VLSI. Aryya Gangopadhyay, Ph.D., Rutgers University(gangopad@umbc.edu)[Professor]. Dr. Johnsonis being honored specifically for decades of principled leadership and steadfast service to The Optical Society and to the optics community, and especially for serving as a tireless ambassador for OSA. He received Research.com Rising Star of Science Award in 2022 (World Ranking: 82; US Ranking: 16). In the third, a deep reinforcement learning framework will be developed that can leverage the advances achieved by the first two thrusts, allowing the development of techniques for learning conceptual knowledge. The project will develop new methods of efficiently learning from multi-modal data inputs, with the ultimate goal of enabling robots to efficiently and naturally learn about their world and the tasks they should perform.. C. Augusto Casas, Ph.D., Nova Southeastern University (acasas@umbc.edu) [Lecturer] [Student Support Liaison for Online MS in IS]. Information theory and coding; signal detection and estimation; remote sensing image processing. I am an Assistant Professor in the Information Systems Department at UMBC. In the first, new perceptual models to learn an alignment among a robots multiple, heterogeneous sensor and data streams will be developed. Computational complexity theory; structural complexity; analysis of algorithms. Admissions is somewhat competitive as the UMBC acceptance rate is 69%. 04, public policy, vice president for Institutional Advancement. Roberto Yus, Assistant Professor This site uses functional cookies and external scripts to improve your experience. She is serving as General Chair at the 2022 Tapia Celebration of Diversity in Computing Conference and is a former co-Chair of the Diversity, Equity, and Inclusion Council of the Association of Computing Machinery (ACM). Data management; knowledge representation; privacy; Internet of Things, Nick Allgood, Lecturer Faculty Professors. It includes an education and outreach plan designed to increase participation by and retention of women and underrepresented minorities (URM) in robotics and computing, engaging with UMBCs large URM population and world-class programs in this area. Ph.D., Dartmouth College, 2013. He is a Highly Cited Researcher identified by Clarivate/Web of Science (2021 & 2022). 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. To continue to support this goal, the Faculty Development Center leads the Nation in supporting and guiding faculty in their educational mission with regular workshops and pedagogical demonstrations. Lujie Karen Chen, Ph.D., CarnegieMellon University (lujiec@umbc.edu) [Assistant Professor]. This site uses functional cookies and external scripts to improve your experience. Professor (410) 455-2306 berge@umbc.edu Click here to view profile Research Area (s) Training Systems Distance Education Computer-Mediated Communication Francis M. Hult, Ph.D. Other areas of interest include applying non-visual technologies to address the trade-offs associated with authentication. Sanjay Purushotham, Ph.D,University of Southern California (psanjay@umbc.edu) [Assistant Professor]. Dr. Gangopadhyay has published five books and nearly 100 research articles. She was the first Latina to graduate with a Ph.D. from the College of Engineering and Information Technology at the University of Maryland Baltimore County and the first female Associate Professor to earn tenure in the Computer Science Department at the University of Puerto Rico Ro Piedras (UPRRP). 2023 University of Maryland Baltimore County Computer Science and Electrical Engineering Department in Information Systems. Tinoosh Mohsenin, Associate Professor 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. Her research is supported by external grants from federal funding agencies, such as the National Institute of Standards and Technology (NIST). Dr. Johnson has served in numerous leadership roles for OSA, including Director-at-Large on OSAs Board of Directors, chair of the Women & Minorities Committee, and chair of the Awards Council. Department of Computer Science and Electrical Engineering The Department of Computer Science and Electrical Engineering (CSEE) at the University of Maryland, Baltimore County (UMBC) invites applications for an open-rank, tenured/tenure-track position in Computer Science to begin in the Fall of 2022. Sherman and Oliva receive NSF award to study cybersecurity education August 5, 2022 11:13 am Home > Events > CLIP Colloquium: Frank Ferraro (UMBC). Ph.D., University of Zaragoza, 2016. We believe in the promise of USC base IBM Canada Ltd., NASA, Xerox). Algorithms, architectures and VLSI design for high performance and energy-efficient computation that support communication, signal processing and biomedical applications. Her government awards include both Meritorious and Exceptional Civilian Service awards. Lei Zhang, Ph.D., McMasterUniversity (leizhang@umbc.edu) [Assistant Professor]. UMBC announced Thursday that it has fired men's basketball coach Aki Thomas. Computer Science and Electrical Engineering. Sreedevi Sampath, Ph.D., University of Delaware(sampath@umbc.edu) [Associate Professor] [Graduate Program Director, IS]. and M.S. He was an Associate Technical Editor for IEEE Communications Magazine (2017-2020). These include, but are not necessarily limited to: Google Calendar, Google Analytics, and ReCAPTCHA. Dr. Raff is a Chief Scientist at Booz Allen Hamilton and both an alumnus of and visiting assistant professor in the UMBC CSEE department. 1000 Hilltop Circle, Baltimore, MD 21250, Department of Computer Science and Electrical Engineering on, Department of Computer Science and Electrical Engineering, College of Engineering and Information Technology, FAQ on Advising, Registration & Graduation, PhD Comprehensive Portfolio Evaluation Form, University-Wide Research Facilities & Services. Ph.D., Computer Science, George Washington University, 2016, Shawn Lupoli, Senior Lecturer in Operations Analysis. Examples of such technologies include patient portals, Apple Health Records, and COVID-19 Contact Tracing applications. Patti Ordez, Ph.D., UMBC (patti.ordonez@umbc.edu) [Associate Professor]. In Information Systems department at UMBC Smart Grids, Biomedical/Brain data analysis Medical... 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