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Author Archives: Ann Zsilavetz

Spring 2021 Registration Newsletter

The Spring 2021 registration newsletter is now available.

Registration for Spring 2021 courses will begin on Tuesday, November 3.  Please review the registration newsletter (linked below) for information on next semester’s options courses, a link to the registration wait-list, and a general listing of CS courses.

Spring 2021 Registration Newsletter (PDF)

AT&T Workshop for CS Juniors & Seniors

AT&T Workshop

Join a panel of TCNJ alumni and representatives from AT&T for the “My Identity: Personal Narrative Workshop” for CS juniors and seniors.  The workshop focus on building interviewing skills for all students, and discussion of internship opportunities for juniors and full-time positions for seniors.

Students must RSVP for the event.  Email cs@tcnj.edu or see Dr. Pulimood’s email from September 25 for more information about the event and the link to RSVP.

Computer Science Colloquium: October 2

On Friday, October 2,  the Computer Science Department will host its first colloquium of the Fall 2020 semester. Niluthpol Chowdhury Mithun of SRI International will give a technical talk entitled “Learning Multimodal Retrieval Models with Limited Labeled Data.  An abstract of his talk can be found below.

Please join CS faculty and students via Zoom from 12:30 – 1:30 PM for this talk.

Zoom Meeting: (ID: 929 1286 7463 / Password: 020525)
https://tcnj.zoom.us/j/92912867463?pwd=cHZVaHkwQmF4UTRoOWkzTG1vc0xkQT09
You must sign in with your TCNJ credentials. Waiting room will be enabled.

Abstract:
In recent years, tremendous success has been achieved in many computer vision and multimedia tasks using deep neural network models trained on large hand-labeled datasets. In many applications, this may be impractical or infeasible, either because of the non-availability of large datasets or the amount of time and resource needed for such labeling. In this respect, an increasingly important problem is in the light of data-hungry deep neural network models is how to learn useful models with limited labeled data. Developing robust models with a limited degree of supervision could be extremely useful for multi-modal retrieval and analysis tasks as collecting training data for these tasks is extremely labor-intensive and prone to significant errors. In this talk, I will go over several multi-modal retrieval tasks (i.e., video-text retrieval, RGB-LiDAR Localization, and text-based video moment retrieval) focusing on developing efficient solutions leveraging available incidental signals or weak labels.

Bio:
Niluthpol Chowdhury Mithun is currently an Advanced Computer Scientist at the Center for Vision Technologies, SRI International in Princeton, NJ, USA. He graduated with a Ph.D. degree in 2019 from Video Computing Group at the University of California, Riverside (UCR). Before joining UCR, he was a Sr. Software Engineer at Samsung R&D Institute Bangladesh. Previously, he received his Bachelors and Masters degree from Bangladesh University of Engineering and Technology. His current research is focused on solving fundamental problems in Computer Vision, and Machine Learning with more focus on representation learning with multiple modalities (e.g., vision, language, LiDAR), learning under limited/weak supervision and multi-modal embedding. He has successfully applied these methods to several real-world problems such as image-text retrieval, video moment localization, video summarization, object detection, visual localization. His work has been published at several high-quality venues such as CVPR, MM, TIP, T-ITS etc. He has won the ACM International Conference on Multimedia retrieval 2018 best paper award and the SRI CVT SharkTank 2019. He serves as a program-committee member/reviewer for venues such as CVPR, ICCV, ECCV, AAAI, MM, ICIP, T-PAMI, T-MM, T-CSVT, T-ITS, PR, PRL

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

Yoon 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!

Dr. Bikram Pal Kaur Turka Joins CS Department

Bikram Pal Kaur TurkaThe 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

Uddipan Das 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 dasu@tcnj.edu.

Dr. Salgian Awarded Curriculum Grant for Fall 2020

Salgian 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: https://teachaccess.org/2020/07/2020-2021-curriculum-development-awardees-announced/

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 cs@tcnj.edu 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

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