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Author Archives: Ann Zsilavetz

Fall 2024 Registration Wait-list

The registration period for Fall 2024 courses is April 2 – 12, 2024.  Some seats have been reserved for CS majors in all CSC courses.  Please review the Fall 2024 Registration Newsletter v2 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.

Be sure to read all directions and enter all requested information.

Fall 2024 Wait-list: https://tcnj.co1.qualtrics.com/jfe/form/SV_8Bust8sVdudpmgm

If you make changes to your schedule after entering your submission to the wait-list and need to update your information, email cs@tcnj.edu.

We will not start signing students into courses until Monday, April 15, 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 Fall 2024.


Links to other School of Science Department Wait-lists can be found below:

Biology: https://biology.tcnj.edu/resources-for/current-students/waitlists/
Chemistry: https://chemistry.tcnj.edu/waitlists/
Math/Stat: https://mathstat.tcnj.edu/ (link to form posted on the menu bar)
Physics: https://physics.tcnj.edu/physics-registration-faq/

For more information on waitlists for other schools and departments, please refer to the TCNJ Waitlisting Process packet.

Three CS Majors Present at International Conference on Human-Robot Interaction (HRI)

students showing their poster project.
Pictured from left to right: Mila Manzano, Eden Espinosa, and Kristen O’Donnell

On March 12, CS majors Mila ManzanoKristen O’Donnell, and Eden Espinosa gave a research presentation, titled “MiRODES: Mini Intelligent Robot for On-campus Domain-specific Event Support”, in the Student Design Challenge session at the 19th ACM/IEEE International Conference on Human-Robot Interaction (HRI) held in Boulder, Colorado.

Under the guidance of their mentor, Dr. Sejong Yoon, the team designed a prototype tour guide robot that can collaborate with human volunteers in on-campus open house events. With no prior experience in robotics or human computer interaction research, they worked on the project over seven weeks in Summer 2023, and presented their initial outcomes at TCNJ’s MUSE presentation session last Fall. Since then, the LCD touch panel user interface module has been further improved using open source large language model, through Mila’s research with Dr. Yoon over the Fall 2023 semester. The HRI presentation covers the entire progress of the project as well as its future directions.

The paper has been published and available on ACM Digital Library.  The project, including students’ travel was supported by National Science Foundation grant #1955365 awarded to Dr. Yoon.

Congratulations to Mila, Kristen, and Eden on a successful presentation!

Three CS Majors Invited to Join Phi Beta Kappa

CS majors Sara Aly, Parvathi Krishnan, and Andrew Michael were recently accepted into Phi Beta Kappa honors society.

Phi Beta Kappa (PBK) is one of the country’s most prestigious honors societies, and only a limited number of junior and senior students are accepted each year.   PBK honorees have demonstrated excellence in the liberal arts and sciences at undergraduate institutions.

For more information about Phi Beta Kappa, see: https://www.pbk.org/

Congratulations to Sara, Parvathi, and Andrew!

Colloquium Talk with Tomer Aberbach, March 1: How Does Google Docs Work?

Tomer Aberbach, senior software engineer at Google and CS Department alumnus, will give a technical talk, titled “How Does Google Docs Work?” on Friday, March 1, from 12:30 – 1:30 PM, in Science Complex P-101.  

See below for more information about our speaker.

Abstract: When Google Docs was released, its real-time collaboration features were groundbreaking, but how do they work? How is a Google Doc represented and stored? How are conflicts between collaborators resolved? Come learn about the inner workings of your favorite online word processor!

Speaker Bio: Tomer Aberbach, Senior Software Engineer at Google, has been working on the Google Docs team since 2020. He has worked on features such as autocorrect, email notifications, Markdown support, and the Bard AI integration. Prior to Google, Tomer attended The College of New Jersey from 2016 to 2019 and graduated with a computer science major and math minor.

Colloquium Talk with Dr. Chloe LeGendre, February 2: Remain in Light: Realistic Augmented Imagery in the AI Era”

Dr. Chloe LeGendre, senior software engineer in Google Research, will give a virtual colloquium presentation, titled “Remain in Light: Realistic Augmented Imagery in the AI Era” on Friday, February 2, from 12:30 – 1:30 PM, which will be streamed in Science Complex P-101.  

See below for more information about our speaker.

Abstract: Augmented Reality (AR) blends real-world scenery with computer and artist generated imagery to unlock novel, creative experiences. In this talk, I will describe advances towards crafting AR imagery that seamlessly blends the real and virtual together, with a focus on matching scene lighting. Given the rapid pace of recent developments in image generation models, I will also share my perspective on these generative models as applied to AR experiences.

Speaker Bio: Chloe LeGendre is a senior software engineer in Google Research, where she is currently working on computational photography and high dynamic range imaging. Her research typically applies machine learning to problems in computer graphics, photography, and imaging, with a special focus on scene lighting measurement and estimation, color science, and portrait photography manipulation. As a member of USC’s Institute for Creative Technologies’s Vision and Graphics Lab, Chloe graduated with a PhD in Computer Science in 2019 from the University of Southern California, where she was advised by Paul Debevec. Chloe has also worked in the R&D divisions of Netflix, L’Oréal USA, and Johnson & Johnson, focused on emerging technology development in the areas of virtual production, augmented reality, and imaging.

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