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Author Archives: Ann Zsilavetz

Spring 2021 Internship Information Sessions

Spring 2021

 

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, March 3  (6:00 – 6:45 PM)
Tuesday, March 16  (7:00 – 7:45 PM)

Zoom session link: https://tcnj.zoom.us/j/98358115019?pwd=eFFqVzB3Smw3TzlWN3E4V1BtMkI0Zz09

Hold the Date!: Michael Kearns to Give Colloquium Talk

Michael Kearns talk

 

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.

Call for Spring 2021 CS Student Volunteer Representatives

The Computer Science Department is once again looking for CS majors to help with upcoming Department and School of Science recruiting events and activities, all of which will be conducted virtually this semester.   Department faculty are  also looking for volunteers who would be interested in writing letters to our accepted students this spring; some of you may have even been recipients of these letters in the past!

Please complete the following Qualtrics survey if you are interested in helping with any of these events or activities: https://tcnj.co1.qualtrics.com/jfe/form/SV_6lBGO5rNlz7czJA

You can email cs@tcnj.edu if you need any more information or need to share updated availability later in the semester.

CS Junior’s Poster Accepted to the 2021 SIGCSE ACM Student Research Conference

Luke KurlandskiCongratulations 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/

CS Alumna Donation Will Support Scholarship for Grace Hopper Celebration Attendee

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.

Celebration of Computing: December 2, 2020

This year’s Celebration of Computing presentations will be live streamed on YouTube.

Streaming links have been shared with students via mailing lists.
Please contact cs@tcnj.edu if you have any questions about the schedule.

Student Presentations:  10:30 AM – 12:00 PM

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.

Computer Science Colloquium, October 30

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/92912867463?pwd=cHZVaHkwQmF4UTRoOWkzTG1vc0xkQT09
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.

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