The College of New Jersey Logo

Apply     Visit     Give     |     Alumni     Parents     Offices     TCNJ Today     Three Bar Menu


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.

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:

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

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:

Math/Stat: (link to form posted on the menu bar)

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:

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.

Celebration of Computing: Fall 2022

The Department of Computer Science’s annual Celebration of Computing event will take place in-person on Wednesday, December 7, 2022, from 11:30 AM – 3:10 PM.  Thirty-six student presentations, organized in three rooms and across three sessions, will showcase students’ internship experience and mentored research outcomes over the summer and this Fall semester.

*Please note that there is no food allowed during presentation sessions and masks must be worn.*

Lunch:  11:30 AM – 12:10 PM
Presentation Session 1:   12:15 – 1:10 PM
Presentation Session 2:   1:15 – 2:10 PM
Presentation Session 3:   2:15 – 3:10 PM

Students who are taking CSC 099 and CSC 199 were assigned a poster for the review. Please use the Qualtrics Survey link below to submit your response.  Please note that you must identify yourself in the survey (there are fields where you can write your name) to be counted toward your course requirements.

Qualtrics link:

If you have any questions or need a copy of the schedule of presentations, please contact

Colloquium Talk with Dr. Michael E. Locasto, November 15: An Operational Definition of Parsing (and its Consequences)

Dr. Michael Locasto, CTO at Narf Industries, will give a colloquium talk, titled “An Operational Definition of Parsing (and its Consequences)” on Tuesday, November 15 from 12:30 – 1:30 PM in the Library Auditorium.

See below for more information about Dr. Locasto.

Abstract: Narf Industries conducts advanced R&D in the space of vulnerability analysis, reverse engineering, and exploit development. This talk presents some our work conducted under the SafeDocs research program, which is concerned with how to make complex document formats safe to parse and consume. We will share our recent research on the unaddressed data management problem inherent in parsing (i.e., input language recognition) and how the problem might be addressed by the novel concept of dynamic progressive types. Far from being of interest to Computer Science theorists, the question of safe recognition is of utmost practical importance to software developers. Many kinds of vulnerabilities occur within input-handling code. The Language-theoretic Security paradigm (LangSec) posits that this association is not merely coincidental, nor is it due to simple ad doc mistakes. Rather, vulnerabilities and exploitation continue to occur because practical software engineering finds it difficult to take advantage of core Computer Science concepts of grammar definition, parsing, and language recognition. In this way, LangSec offers a “science of insecurity” by indemnifying consistent anti-patterns across many different vulnerabilities over time. Our work under SafeDocs shows how to use the latest tools in parser combinator libraries and format-aware tracers to define, guard, and monitor safe parsing.

Speaker Bio: Dr. Michael E. Locasto serves as the CTO at Narf Industries, a cadre of cybersecurity experts tackling some of the most important cybersecurity problems facing society, industry, and government. From 2016 to 2021, Dr. Locasto was a Principal Computer Scientist at SRI International in the Infrastructure Security Group of their Computer Science Laboratory. He served as a PI for four DARPA programs, and also co-led SRI’s Internet of Things Security and Privacy Center. Prior to joining SRI, he was a tenured Associate Professor at the University of Calgary, where he directed the Trustworthy Systems Group and conducted research in trustworthy systems, cooperative security mechanisms, and software security. Dr. Locasto has co-authored over 80 publications in the first of computer security, and he holds 14 U.S. patents related to software security and intrusion detection. He received his Ph.D., MPhil, and MSc degrees in Computer Science from Columbia University and graduated magna cum laude from The College of New Jersey (TCNJ) with BSc in Computer Science.