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Events

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

Students gathering for a group photo.

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.

students working on a project.

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).

All the faculty together inside of the ed building.

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.

Fall 2023 Registration Wait-list

The registration period for Fall 2023 courses is April 4 – 14, 2023.  Some seats have been reserved for CS majors in all CSC courses.  Please review the Fall 2023 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.

Fall 2023 Wait-list: https://bit.ly/3mFfGwI

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 17, 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 2023.


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 Dr. Sukrit Dasgupta, March 31: Designing and Deploying Cisco AI Spoofing Detection

Dr. Sukrit Dasgupta, Head of Engineering for the Cisco AI Cloud platform team, will give a colloquium talk, titled “Designing and Deploying Cisco AI Spoofing Detection” on Friday, March 31, from 12:30 – 1:30 PM in STEM 102.

See below for more information about Dr. Dasgupta.

Abstract:  As time passes, demands on networks are only increasing. Whether it’s the growth of bandwidth intensive applications, complexity of security postures, more devices per person or simply, more users spending more time on the network, the expectations for everything to “just work” is taken for granted. Traditional ways of managing, operating, and securing networks are being augmented with a steady influx of Machine Learning technologies to help with the challenges. In this discussion we will go over some scenarios where Machine Learning approaches are assisting network operations and talk about the motivations and challenges around the problem and solution space. As many of you will soon be looking forward to solving challenging problems in this domain once you graduate, I will share some of my experiences and also talk about how students can prepare themselves in this vast space.

Speaker Bio: Sukrit Dasgupta is the Head of Engineering for the Cisco AI Cloud platform team that deploys multiple AI Applications for Cisco DNA Center, Cisco Identity Services Engine (ISE) and Cisco ThousandEyes. He joined Cisco in 2008 and has been involved in multiple networking areas such as MPLS Traffic Engineering (MPLS-TE) and Transport Profile (MPLS-TP), Internet of Things (IoT), Smart Grid, Security, Wireless and Network Controllers. He is also a co-inventor on more than 70 patents in these areas. For the past 8 years he has been leading teams that are solving hard networking problems using AI and Bigdata. Dr. Dasgupta received his MS in Computer Engineering and PhD in Electrical Engineering from Drexel University, Philadelphia and BS in Computer Science from Sikkim Manipal Institute of Technology, India.

Six CS Majors Invited to Join Phi Beta Kappa (PBK)

CS majors Sean Elefant, Jabili Gadde, Kiera Gill, Robert Helck, Max Landry, and Jason Swick 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 Sean, Jabili, Kiera, Robert, Max, and Jason!

Colloquium Talk with Dr. Isaac Neuhaus, February 21: CanvasXpress: A visualization tool for data analytics in a regulated environment

Dr. Isaac Neuhaus, Senior Director of Computational Genomics at Bristol-Myers Squibb, will give a colloquium talk, titled “CanvasXpress: A visualization tool for data analytics in a regulated environment” on Tuesday, February 21, from 12:30 – 1:30 PM in Science Complex P-101.

See below for more information about Dr. Neuhaus.

Abstract:  Working as a data scientist in the pharmaceutical industry can be a challenging task due to stringent regulations that demand rigorous accountability. Fortunately, powerful visualization tools like CanvasXpress offer us an opportunity to effectively explore complex datasets while simultaneously ensuring full compliancy with regulatory standards – resulting in compelling visualizations and unparalleled reproducibility of research results.

Speaker Bio:  Dr. Isaac Neuhaus is the Senior Director of Computational Genomics working at Bristol Myers Squibb. He is a self-motivated, creative bioinformaticist with over 20 years of experience. Dr. Neuhaus has a broad range of expertise in bioinformatics, transcriptional profiling, systems biology, genome analysis, sequencing, data analysis, and visualization. He is also a computer programming expert, fluent in R, Perl, JavaScript, HTML5, Oracle, and C. He authored or co-authored more than 50 scientific publications in the field of his expertise. Before joining Bristol Myers Squibb more than 22 years ago, he worked at Norvatis after his post-doctoral training in Mouse Genetics at Harvard Medical School in 1998. He received his Doctor of Philosophy degree in Biochemistry and Molecular Biology from the University of Miami Millar School of Medicine in 1995.

February 2023 CS Social Hours

Hey CS Majors! 

See below for the February dates for the CS Social Hours.   Come hang out in the STEM 100 lounge and chat with fellow CS majors and faculty/staff.  We’ll be alternating snack options at each event, so feel free to make some suggestions when you see us on Thursday, February 9.

Feb 2023 CS social hours.

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