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Author Archives: Ann Zsilavetz

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

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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.

Fall 2023 Registration Wait-list

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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

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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.

Call for Goldberg-Neff Scholarship Prize Applications – 2023

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Charles H. Goldberg – Norman Neff
Scholarship Prize in Computer Science

(Applications due Friday, April 7, 2023 by 12:00 PM)

The Charles H. Goldberg – Norman Neff Scholarship Prize is awarded annually by the Computer Science Department to a student(s) who has/have demonstrated academic excellence in Computer Science and who will be continuing into graduate study in Computer Science.

Eligible students are graduating Computer Science majors who have applied for admission for graduate study in Computer Science. The number of awards and the award amount are at the discretion of the Computer Science Department. The award check will be conveyed to the awardee(s) upon matriculation in a graduate program in Computer Science within one year of the announcement of the award.

How to Apply

Please complete the following Google Form before the deadline: https://forms.gle/uvUpn8JwK5pqxLpC7

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

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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

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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.

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