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Author Archives: Ann Zsilavetz

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.

Spring 2024 Registration Wait-list

The registration period for Spring 2024 courses is November 7 – 17, 2023.  Some seats have been reserved for CS majors in all CSC courses.  Please review the Spring 2024 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.

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

Spring 2024 Wait-list: https://tinyurl.com/ms9kcvtn

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, November 20, 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 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.

Colloquium Talk with Suyeon Choi, October 17: Neural Holography for Next-generation Virtual and Augmented Reality Displays

Suyeon Choi, PhD student at Stanford Computational Imaging Lab, will give a virtual colloquium presentation, titled “Neural Holography for Next-generation Virtual and Augmented Reality Displays” on Tuesday, October 17, from 12:30 – 1:30 PM, which will be streamed in Science Complex P-101 and P-117 (overflow room).  

See below for more information about Suyeon.

Abstract:  Holographic displays promise unprecedented capabilities for direct-view displays as well as virtual and augmented reality applications, including per-pixel depth, efficient light utilization, and vision correction. However, despite these capabilities, these displays always have been relegated to the status of a perpetually future technology, due to several major challenges such as large benchtop form factors, and the fundamental trade-off between algorithm runtime and achieved image quality. In this talk, I will present co-design approaches of optics and algorithms in holographic near-eye displays that address these challenges. First, I will discuss a compact display system architecture with an eyeglasses-like form factor for virtual reality that can deliver full-color 3D holographic images using a 2.5mm thick optical stack. Next, I will introduce an algorithmic CGH framework that achieves unprecedented image fidelity and real-time framerates. Our framework comprises several parts, including a novel camera-in-the-loop optimization strategy that allows us to either optimize a hologram directly or train a parameterized model of the optical wave propagation and a neural network architecture that represents the first CGH algorithm capable of generating full-color high-quality holographic images at full-HD resolution in real-time. By incorporating AI advancements into conventional optics and photonics, we can open up new possibilities and enable high-fidelity imaging and display solutions.

Speaker Bio:  Suyeon Choi is a PhD student at Stanford Computational Imaging Lab, advised by Professor Gordon Wetzstein. His research interests are centered on the co-design of optical systems and algorithms, with a focus on developing holographic display systems that incorporate machine learning for next-generation virtual and augmented reality displays. His work is supported by a Meta Research PhD Fellowship, a SPIE Optics and Photonics Education Scholarship, a Kwanjeong Scholarship, a Korean Government Scholarship, and a GPU gift from NVIDIA. Previously, he received his Master’s degree in Electrical Engineering from Stanford University, completed his undergraduate studies at Seoul National University as a recipient of The Presidential Science Scholarship.

2023 Summer Workshop on Artificial Intelligence: Special Topic on Human, Crowd, Environment, and Robotics

On Monday, June 12, 2023, TCNJ’s Department of Computer Science (CS) hosted 14 students and 3 teachers from a nearby school district, Hamilton Township School District (HTSD), to stimulate interest in computing research and careers in the field of artificial intelligence. CS faculty member Dr. Sejong Yoon led the event, titled “Summer Workshop on AI: Special Topic on Humans, Crowd, Environment, and Robotics.”

There were several activities for students to participate in, such as touring the CS Department research lab, taking parts in virtual reality-based experiments, and coding in Python to control robots. The program also seeks to include underrepresented minorities in computer science.

At the workshop, three TCNJ CS majors assisted Dr. Yoon in organization and showcased a robotics project to visitors. The student team (Eden Espinosa, Kristen O’Donnell, and Mila Manzano) spent seven weeks of summer to continue working on related projects, while receiving stipend and housing supports from a research grant Dr. Yoon received from National Science Foundation (NSF).

On Thursday, June 22, the workshop series hosted 13 teachers from HTSD and Mercer County Technical Schools (MCTS) to participate in professional development (PD) activities. The teachers attended the PD workshop to learn about recent trends in artificial intelligence and sharpened their AI literacy.

Dr. Yoon organized the event in collaboration with the cooperating school districts, and a TCNJ Professor Karen Gordon. The workshop was the third offering of a four-year series (2021-2024), supported by the NSF Grant #1955365, a collaborative project with Rutgers University.

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