Hold the date! Dr. Michael Kearns, of UPENN and co-author of The Ethical Algorithm: The Science of Socially Aware Algorithm Design, will give a virtual colloquium talk on Friday, March 12 from 12:30 – 1:30 PM. Dr. Kearns is know for his work in the fields of machine learning, algorithmic game theory, and computational social science. A full biography and abstract will be available in the coming weeks.
Congratulations to CS Major Luke Kurlandski (Class of 2022) on his poster’s acceptance to the ACM Student Research Competition at the 2021 ACM SIGCSE Technical Symposium!
Luke’s poster on CABPortal, entitled “Evaluating ML Recommender Systems Without Interactions Data”, will be presented at the March 2021 virtual conference. CABPortal (Collaborating Across Boundaries Portal) is a web application that promotes collaboration between researchers in different academic disciplines. An effective recommendation system would be beneficial for the site, but CABPortal does not have a history of user behavior to train a recommender engine on. This semester, Luke researched a strategy to develop, test, and evaluate an ML-based (machine learning-based) recommendation system for CABPortal by using synthetically-generated artificial training data. This poster is based on work done with Dr. Pulimood, through mentored research and partially funded through Dr. Pulimood’s Barbara Meyers Pelson grant and NSF Award #191486.
For more information on the SIGCSE Technical Symposium, see: https://sigcse2021.sigcse.org/
Computer Science Department alumna Jennifer Gandolfo (Class of 1997) has generously donated to the CS Department to support a scholarship for a woman CS major to attend the Grace Hopper Celebration.
The Grace Hopper Celebration of Women in Computing is an annual fall event at which women in tech (including some of CS @ TCNJ’s very own students and faculty) gather to participate in professional development workshops and technical seminars, network with peers in the industry, and attend the career fair. While the GHC is typically held in-person, this year’s event was held virtually, and was attended by Dr. Pulimood and CS Majors Adeena Ahmed and Hana Memon.
Gandolfo’s donation will fund travel and conference expenses for one woman CS major to attend the event.
Thank you again to Jennifer for her generous donation and support of students in the CS @ TCNJ program!
Photos below are from previous years’ Grace Hopper Celebration events attended by CS Majors.
Streaming links have been shared with students via mailing lists.
Please contact cs@tcnj.edu if you have any questions about the schedule.
Students who are taking CSC 099 and CSC 199 were assigned a poster to review. Please use the Qualtrics Survey link provided by your instructor to submit your response. Please note that you must identify yourself in the survey (in the appropriate survey field) in order for your review to be counted toward your course requirements.
REMINDER: All CS Majors are required to attend one internship information session before they can apply for internship (CSC 399) for credit.
Be sure to check Dr. Papamichail’s website and come prepared with any additional questions you might have.
Wednesday, November 11
3:00 – 3:45 PM
Zoom session link: https://tcnj.zoom.us/j/95197657763
On Friday, October 30, the Computer Science Department will host its second colloquium of the Fall 2020 semester. Dr. Uddipan Das of the Computer Science Department at TCNJ will give a technical talk entitled “Quality-aware Data Management in Smart Grid Communication Networks”. An abstract of his talk can be found below.
Please join CS faculty and students via Zoom from 12:30 – 1:30 PM for this talk.
Zoom Meeting: (ID: 936 1764 8901 / Password: 783429)
https://tcnj.zoom.us/j/
You must sign in with your TCNJ credentials. Waiting room will be enabled.
Abstract:
The inclusion of various intelligent electronic devices such as smart meters for Advanced Metering Infrastructure (AMI) in Smart Grids is expected to result in intermittent or frequent communications network congestion if additional network infrastructure investments are not made. One approach to deal with such a data volume challenge in smart grids without additional investments to increase network capacity is to aggregate data streams within the underlying communication network whenever network congestion happens. However, this needs to be done carefully so as not to significantly impact the smart grid applications that need the data. In this talk, I will present my research on data management in capacity-constrained communication networks of AMI in Smart Grids considering the requirements of Quality-of-Service (QoS). I will discuss my research contributions in this area to deal with the challenge of managing data traffic while keeping a balance between data granularity and network latencies.
Bio:
Uddipan Das is currently working as an Assistant Professor in the Department of Computer Science at The College of New Jersey. He graduated with a Ph.D. degree in Electrical Engineering and Computer Science from Wichita State University in 2020. Previously, he earned his M.E. degree in Software Engineering from Jadavpur University and B.Tech degree in Computer Science and Engineering from West Bengal University of Technology. His primary research interest centers around the design and development of data-driven algorithms and systems in smart cities; specifically, data management in smart electric power grid communication networks and smart environments for navigation and wayfinding for people with disabilities. He has published peer-reviewed research publications in the top-tier journal and conference venues, and he serves as a reviewer for the IEEE Systems Journal, IEEE ICDCS, IEEE NAPS, and IEEE IGSC, etc. He is a member of IEEE, IEEE Computer Society, and IEEE Power & Energy Society.
The registration period for Spring 2021 courses is November 3 – 13, 2020. Some seats have been reserved for CS majors in all CSC courses. Please review the Spring 2021 Registration Newsletter for additional information on options courses offered next semester.
After your registration window opens, if the class you need is closed, put yourself on the wait-list using the Qualtrics form below.
We will not be signing students into courses until Monday, November 16, after the registration window closes. Please do not email the department for updates before this time. We will enroll students into any unfilled seats in order, based on their registration times and time they registered on the wait list.
Be sure that your intended course does not conflict with a course in your current schedule, and that you are willing to drop conflicting courses to make the change. If you have a full course load or time conflict and do not indicate courses to drop on your wait-list submission, your submission will be disregarded.
As always, have a back-up plan in case you are not able to get into your preferred courses.
Please see the Advising Resources webpage for more information about submitting Mentored Research or Internship forms for Spring 2021.
Biology: TBA
Chemistry: https://chemistry.tcnj.edu/
Math/Stat: https://mathstat.tcnj.edu/ (link to form usually posted on bottom of website during registration)
Physics: https://physics.tcnj.edu/