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Author Archives: Ann Zsilavetz

Dr. Yoon Awarded Grant from National Science Foundation (NSF)

Dr. Sejong Yoon has been awarded a $162,500 grant from the National Science Foundation for his collaborative research project as a part of a $999,150 grant with his collaborators at Rutgers University.

The project, named “Learning Joint Crowd-Space Embeddings for Cross-Modal Crowd Behavior Prediction,” will aim to design a new modeling and analysis framework for studying the human crowd’s motion and behaviors and their relationships to environmental structures. The project will engage TCNJ undergraduate student participants in this vital research and potential K-12 outreach with the Educational Administration and Secondary Education Department faculty’s help in the School of Education.

More details about Dr. Yoon’s research group and his work can be found on his website.

Congratulations to Dr. Yoon!

Fall 2020 FAQ

What does “Remote Learning” mean?

All TCNJ courses will be running in “Remote Only” mode during the Fall 2020 semester, which means that all course instruction will be conducted online.  There will be no in-person instruction time.  Faculty may virtually meet with students during regularly scheduled course meeting days/times or use other methods to share course materials or assignments/video lectures electronically.  Check with your instructor to find out more about the structure of their courses.

Find out more about TCNJ’s Fall 2020 plan here:

Will the CS Department Office be open?

The CS Department Office will be working remotely this semester, with few exceptions for extenuating circumstances. Please contact Ms. Zsilavetz via email ( / if you need assistance.  Typical office hours of 8:30 – 4:30 PM will be observed, though you may not receive an immediate response depending on the nature of your inquiry and the queue of other inquiries from students, faculty, and staff.

How can I meet with my course instructor for course support?

Email is still the official method of communication for TCNJ and it is the best way to get in touch with your instructors and advisors.  Faculty may not be able to respond to your email immediately, as they often receive numerous daily inquiries from other students, staff, and faculty.  Please continue to check your email and Canvas diligently to make sure you don’t miss important updates about class meetings, assignments, changes to faculty office hours, etc.

Faculty office hours will be posted to the CS Department website on their individual pages during the first week of classes.  These office hours may be held on a variety of platforms (Zoom, Google Meet, Canvas, etc) so keep track of what each faculty member prefers.

Will tutoring services still be offered?

Both the Tutoring Center tutors and CS Department drop-In tutors will be available in Fall 2020.  Our CS Department tutors will offer drop-in tutoring hours on Zoom (similar to the second half of the spring 2020 semester).  A schedule will be posted on the Department website and will be emailed to all students in introductory-level CS courses prior to the start of tutoring hours.

Tutoring Center tutors meet  with students for pre-arranged meetings, so you will need to contact the Tutoring Center to make an appointment for a tutoring session.

How can I submit a form to the CS Department for review?

Email your form to Ms. Zsilavetz at  If you are submitting a Mentored Research form that needs a faculty mentor’s signature, please get this signature before you submit your form to the CS Department for Dr. Pulimood’s review.

For students planning to submit a Change of Major form:  the Fall 2020 deadline to submit the form to the department is Friday, October 2.  This means that your form should be submitted to before 4:30 PM on October 2.  Forms that are submitted after this time will not be considered for acceptance into the major.   As always, please review our webpage for more information on applying to transfer into the major:

Dr. Bikram Pal Kaur Turka Joins CS Department

The Computer Science Department welcomes Dr. Bikram Pal Kaur Turka to the Department!

Dr. Turka earned her Ph.D degree in Computer Technology and Engineering from Punjabi University Patiala and Masters Degree in Computer science from Chaudhary Devi Lal University.  She completed her B.Tech in Computer Science from Punjabi University Patiala.

Prior to joining The College of New Jersey, Dr. Turka was the Professor in the Department of Computer Science & Information Technology at Chandigarh Engineering College, Landran, Mohali in India. She has more than 23 years of teaching experience and has served many academic institutions. Her teaching interests are Database management system, Operating System, Data communication, Computer Networks, Business Information System, Computer Architecture, Software Engineering and Enterprise Resource Planning. She has supervised many Masters in Technology Dissertations and also guided Ph.D students.

Dr. Turka has contributed more than thirty eight articles in various national/ international conferences and thirty four papers in research Journals. Her primary research area lies in Information System, ERP, AI, and Fuzzy System. Dr. Turka is a member of many professional societies such as Computer Society of India and International Society for Technology in Education. She is currently a member of the Editorial Review of journal of Inderscience Publishers.

Dr. Turka will teach two sections of CSC 220 and one section of CSC 250 in Fall 2020.

Dr. Uddipan Das Joins CS Department

The Computer Science Department welcomes Dr. Uddipan Das to the Department faculty!

Dr. Das earned his B.Tech degree in Computer Science and Engineering from West Bengal University of Technology, his M.E. degree in Software Engineering from Jadavpur University, and his Ph.D. degree in Electrical Engineering and Computer Science from Wichita State University.

His primary research interest centers around the design and development of data-driven algorithms and systems in smart cities; specifically, data management in smart electric power grid communication networks and smart environments for navigation and wayfinding for people with disabilities. In his Ph.D. dissertation, he proposed several quality-aware data management schemes for smart grid communication networks and also proposed a deep learning-based framework to assist people with visual impairments in outdoor wayfinding. He received Maha “Maggie” Sawan Fellowship at Wichita State University in 2016 for the excellence in academic achievement. He has published peer-reviewed research publications in the top-tier journal and conference venues, and he is a reviewer for the IEEE Systems Journal, IEEE ICDCS, IEEE NAPS, and IEEE IGSC, etc. He is an active member of IEEE, IEEE Computer Society, and IEEE Power & Energy Society.

Dr. Das conducts research in the area of smart cities focusing on the design and development of data-driven algorithms and systems in smart grids and smart living. In particular, his current research interest includes data management in communication networks of smart grids that can improve reliability and enable better management and control of electric meters in residential units, as well as the design and development of auxiliary wayfinding systems for people with visual impairments for smart living.

Dr. Das will teach one section (each) of CSC 199, CSC 215 and CSC 230 in Fall 2020.  Students interested in learning more about Dr. Das’s mentored research projects can email him at

Dr. Salgian Awarded Curriculum Grant for Fall 2020

Dr. Andrea Salgian has been awarded a $5,000 grant from Teach Access to support CS curriculum development.

The Teach Access Curriculum Development Award will provide support for the design and implementation of a user accessibility module in CSC 355 – Human Computer Interaction, which Dr. Salgian will be teaching this fall. The new module will help prepare students to become developers of technologies that are inclusive and accessible for all users.  Part of the funds will be used to acquire various computer interaction devices, such as body trackers and smart speakers.

A full list of the ten awardees, including Dr. Salgian, can be found on the Teach Access website:

Congratulations again to Dr. Salgian!

Graduation 2020: CS Department & TCNJ Honors

Congratulations, TCNJ Class of 2020! Congratulations to all of our CS majors who graduated this year!

Below, we recognize our majors who graduated with TCNJ and CS Department honors.

Summa Cum Laude
Tomer Aberbach
Madeline R. Febinger
Ethan C. Kochis
Tomer Singal

Magna Cum Laude
Caroline G. Aboff
Daniel J. Beer
Brian L. Duke
Kyler R. Steele
Richard Wenxuen Wu

Cum Laude
Shm Garanganao Almeda
Kiernan T. Dempsey
Cole Nakamura Ding
Mark Raymond Meddleton
Vangelo Tasho

CS Department Honors
Tomer Aberbach

Celebration of Student Achievement: May 6, 2020

This year’s Celebration of Student Achievement events will be live streamed on YouTube.

Streaming links have been shared with students via mailing lists.
Please contact if you have any questions about the schedule.

Presentation Sessions 12:00 – 2:20 PM
Department Awards Ceremony 2:30 – 3:15 PM
UPE Induction Ceremony 3:30 – 4:15 PM

Call for Goldberg-Neff Scholarship Prize Applications – 2020

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

(Applications due Tuesday, April 21, 2020 by 5:00 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 form and submit your application (Word doc, PDF, or typed email response) to Ms. Zsilavetz via email ( before the deadline.


1. Name: _____________________________________


2. How can we contact you after graduation:


Phone: _______________________________


E-mail: _______________________________


Postal address _________________________


3. List some of the graduate programs to which you are applying:


4. Please attach a short essay discussing your plans for graduate study.