Special Session 9:
REU Symposium for Undergraduate Research in Data Science, Systems, and Security
Undergraduate research plays an important role in attracting our best undergraduates to continue towards graduate education in the science and engineering fields. Publishing research in a professional venue is part of the training for future researchers. The National Science Foundation (NSF) provides support for undergraduate research within the Research Experience for Undergraduates (REU) program. The goal of this Symposium is to provide a venue for students to publish their research done as part of the REU program. The symposium seeks original submissions in research areas that are currently funded by the NSF’s directorate for Computer and Information Science and Engineering (CISE) or other related directorates. Research done by undergraduate researchers via funding from similar programs such as Louis Stokes Alliances for Minority Participation (LSAMP) are also eligible to submit.
The same REU Symposium had been held in 2021 and 2022. More information can be found at the REU Symposium website: https://bigdatareu.umbc.edu/reu-symposium/.
The key requirement for this Symposium is that the submission’s lead author must be an undergraduate student funded as part of the NSF REU (REU supplement or REU Site) program or similar programs.
Scope and Topics:
All topics related to machine learning and applications in data science, systems, and security are accepted.
Chairs: Nirmalya Roy, Matthias K. Gobbert, Jianwu Wang, Anuradha Ravi, Fusheng Wang
Bio: Dr. Nirmalya Roy is a Professor in the Information Systems department and the Associate Director of the Center for Real-time Distributed Sensing and Autonomy at the University of Maryland, Baltimore County. His research interests include applied machine learning and data analytics techniques with applications to smart battlefields, IoT, cyber-physical systems, and smart cities. He is the recipient of NSF 2018 CAREER and multiple best paper awards. Dr. Jianwu Wang is an Associate Professor in the Information Systems department at the University of Maryland, Baltimore County. He leads the Big Data Analytics Lab (BDAL) at UMBC and is a Co-PI at the NSF HDR Institute for Harnessing Data and Model Revolution in the Polar Regions (iHARP). He is also an affiliate faculty at the Department of Computer Science and Electrical Engineering and the Joint Center for Earth Systems Technology (JCET), UMBC. His research interests include Big Data Analytics, Causal AI, Earth Informatics and Distributed Computing. He received Early-Career Faculty Excellence award from UMBC in 2019 and NSF CAREER award in 2020. Dr. Matthias K. Gobbert is Professor of Mathematics in the Department of Mathematics and Statistics at UMBC and an affiliate Professor in the Department of Computer Science and Electrical Engineering at UMBC. Dr. Gobbert’s research interests include scientific and parallel computing, the numerical solution of partial differential equations, industrial mathematics, and most recently data science, typically in collaboration with application scientists. Dr. Gobbert received the University System of Maryland Board of Regents’ Faculty Award for Excellence in Mentoring in 2010. Dr. Anuradha Ravi is a Research Assistant Professor in the Information Systems department at the University of Maryland Baltimore County. Her research interests include developing Low-power AI models and communication strategies for computation and communication-efficient IoT and edge devices. Her area of expertise is in developing real-time systems for IoT-enhanced smart spaces.
Technical Committee
- Dr. Prasad Calyam, University of Missouri-Columbia, Organizer of the NSF REU Site on Research in Consumer Networking Technologies
- Dr. Jun Zheng, New Mexico Tech University, Organizer of the NSF REU Site on Emerging Issues in Cybersecurity
- Dr. Enyue (Annie) Lu, Salisbury University, Organizer of the NSF REU Site on Explore Emerging Computing in Science and Engineering (EXERCISE)
- Dr. Sanjay Madria, Missouri University of Science and Technology, Organizer of the NSF REU Site on Cybersecurity, Data Analytics and Blockchain for Securing Big Data and Cyber-Physical Systems
- Dr. Arielle Carr, Lehigh University
- Dr. Jelena Mirkovic, USC Information Sciences Institute
- Dr. Rakesh Verma, University of Houston
- Dr. Tuan Le, New Mexico State University
- Dr. Huiping Cao, New Mexico State University
- Dr. Ioannis Kakadiaris, University of Houston
- Dr. Boyang Wang, University of Cincinnati
- Dr. Sihong Xie, Lehigh University
Paper Submission Instructions
All papers will be double-blind reviewed and must present original work.
- CMT Submission Site
- Select the track: Special Session 9: REU Symposium for Undergraduate Research in Data Science, Systems, and Security
Papers submitted for reviewing should conform to IEEE specifications. Manuscript templates can be downloaded from:
Keydates
- Submission due date: September 5, 2023
- Notification of Acceptance: September 25, 2023
- Camera Ready Papers: October 5, 2023
- Pre-registration: October 15, 2023
- Conference: December 15-17, 2023
Registration
In order for your paper to be presented in the virtual session and published in the proceedings you must register to the conference.
Paper Presentation Instructions
The papers submitted to this track will be presented in person as part of the conference. There is no virtual presentation for this session.
ICMLA'23