2023 Symposium for Undergraduate Research in Data Science, Systems, and Security (REU Symposium 2023)
Special Session at the 22nd International Conference on Machine Learning and Applications (ICMLA 2023)
One day in December 15-17, 2023, Jacksonville, Florida, USA
Description
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. The research topics of this symposium focus on Data Science, Systems, and Security. Research done by undergraduate researchers without explicit funding sources or via funding from similar programs such as Louis Stokes Alliances for Minority Participation (LSAMP) are also eligible to submit.
The same REU Symposium has been held in 2021 and 2022. More information can be found at REU Symposium 2021, REU Symposium 2022.
To promote research experiences in K-12, in 2023, high school students are also eligible to submit although it is highly recommended such submissions are in collaboration with undergraduate students and/or faculty mentors.
The key requirement for this Symposium is that the submission’s lead author must be an undergraduate student or high school student.
Important Dates
- Paper submission due date: Tuesday, September 5, 2023
- Decision notification: September 25, 2023
- Camera-ready due date: October 5, 2023
- Pre-registration: October 15, 2023
- Symposium: One day in December 15-17, 2023
Paper Submission
In align with the main conference’s instructions, authors for this special session are invited to submit full papers (up to 6 pages and possible two additional pages with cost of $50 per page) or short papers (up to 4 pages and possible two additional pages with cost of $50 per page) as per IEEE 8.5 x 11 manuscript guidelines (templates for LaTex, Word and PDF can be found at IEEE Templates for Conference Proceedings). All papers must be submitted via CMT Submission Site: https://cmt3.research.microsoft.com/ICMLA2023 and Select track: Special Session 9: REU Symposium for Undergraduate Research in Data Science, Systems, and Security.
Required by the main conference, all submissions should be double-blind reviewed and must present original work. Authors’ names and affiliations should not appear in the submitted paper. Authors’ prior work should be cited in the third person. Authors should also avoid revealing their identities and/or institutions in the text, figures, links, etc. Check the main conference instruction for details on double-blind review instructions.
At least one author of each accepted paper is required to attend the symposium and present the paper. All the accepted papers by the symposium will be included in the Proceedings of 22nd International Conference on Machine Learning and Applications (ICMLA 2023) which will be published by IEEE Computer Society.
The final schedule for REU Symposium 2023 can be found at REU Symposium 2023 Schedule.
Symposium Organization
Program Chairs
- Dr. Nirmalya Roy, University of Maryland, Baltimore County, Organizer of the NSF REU Site on Smart Computing and Communications
- Dr. Jianwu Wang, University of Maryland, Baltimore County, Organizer of the NSF REU Site on Online Interdisciplinary Big Data Analytics in Science and Engineering
- Dr. Matthias K. Gobbert, University of Maryland, Baltimore County, Organizer of the NSF REU Site on Online Interdisciplinary Big Data Analytics in Science and Engineering
- Dr. Anuradha Ravi, University of Maryland, Baltimore County, Organizer of the NSF REU Site on Smart Computing and Communications
Publicity Chairs
- Dr. Jun Zheng, New Mexico Tech University, Organizer of the NSF REU Site on Emerging Issues in Cybersecurity
- Dr. Avijoy Chakma, Bowie State University
Program Committee Members
- 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. Yufei Tang, Florida Atlantic University, Organizer of the NSF REU Site on Sensing and Smart Systems
- Dr. Arielle Carr, Lehigh University
- Dr. Jelena Mirkovic, USC Information Sciences Institute, Organizer of the NSF REU Site SURF-I: Safe, Usable, Reliable and Fair Internet
- 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