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Author Archives: Ann Zsilavetz

Colloquium Talk with Dr. Roger Mailler, September 30: NSF Research Funding Resources for Undergrad Students

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Dr. Roger Mailler, a Program Director at the National Science Foundation (NSF), will give a colloquium talk, titled “NSF Research Funding Resources for Undergrad Students” on Friday, September 30 from 12:30 – 1:30 PM on Zoom.

See below for more information about Dr. Mailler and links to the event.

Abstract: U.S. National Science Foundation (NSF) Program Director Roger Mailler shares knowledge and NSF resources with students at higher education. The NSF Computer and Information Science and Engineering at NSF supports investigator-initiated research and education in all areas of computer and information science and engineering, fosters broad interdisciplinary collaboration, helps develop and maintain cutting-edge national cyberinfrastructure for research and education, and contributes to the development of a computer and information technology workforce with skills necessary for success in the increasingly competitive global market. In this talk, Dr. Mailler shares opportunities in STEM Career Pathways for undergraduate students

Speaker Bio: Dr. Roger Mailler is a Program Director in National Science Foundation’s Division of Information and Intelligent Systems (IIS) under the Directorate for Computer and Information Science and Engineering (CISE). He leads many NSF-funded research projects in Robust Intelligence (RI) program within the IIS Division that aim to explore foundational computational research needed to understand and develop systems that can sense, learn, reason, communicate, and act in the world using AI, Machine Learning, Computer Vision, Natural Language Technologies, and Computational Neuroscience. Dr. Mailler is also a Professor of Computer Science at the University of Tulsa, published more than 60 articles in leading journals and conference proceedings in the area of multiagent systems, distributed problem solving, constrained optimization, and computational neuroscience. He received his bachelors degree at the State University of New York and Ph.D. at the University of Massachusetts, respectively.

Zoom Meeting ID: 922 3579 4660 / Passcode: 076165

https://tcnj.zoom.us/j/96195035078?pwd=OTZ4V3VkZHFPZ1p6aGphTnAwUXZ0QT09

The CS Department Welcomes Dr. Mark Russo, Senior Lecturer

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Welcome back to Dr. Mark Russo, a longtime CS Department adjunct faculty member, who is returning this year in the position of Senior Lecturer!

Dr. Russo has taught a variety of courses for the department since joining as an adjunct in Spring 2015, including sections of CSC 220, CSC 230, and CSC 470 Special Topics course (Advanced Browser Technologies), as well as courses for Engineering majors.

This semester, Dr. Russo will teach sections of CSC 230: Data Structures and CSC 217, a course for Engineering majors which utilizes the programming language Python.

Find Dr. Russo’s research interests and contact information on his faculty profile page.

2022 Summer Workshop on Artificial Intelligence: Special Topic on Human, Crowd, Environment, and Robotics

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On Wednesday, June 8, 2022, TCNJ’s Department of Computer Science (CS) hosted 26 students and 5 teachers from two nearby school districts, Hamilton Township School District (HTSD) and Mercer County Technical Schools (MCTS), 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.” The program offered students opportunities to take part in various activities, including visits to the CS Department research lab, participation in virtual reality-based research experiments, and multiple coding sessions using the Python programming language.  The program also aims to broaden the participation in computing for underrepresented minorities in the field of computing.

Dr. Yoon organized the event in collaboration with the participating school districts, as well as faculty members from Rutgers University’s Department of Computer Science (Professor Vladimir Pavlovic and Professor Mubbasir Kapadia) and Department of Electrical and Computer Engineering (Professor Jorge Ortiz), and TCNJ’s Department of Educational Administration and Secondary Education (Professor Karen Gordon). The workshop was the second offering of a four-year series (2021-2024), supported by National Science Foundation Grant #1955365.

Colloquium Talk with Seonghyeon Moon, April 19: An Integrated Platform For Joint Simulation of Occupant-building Interactions

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Seonghyeon Moon, Ph.D. student at Rutgers University in the Department of Computer Science, will give a colloquium talk, titled “An Integrated Platform For Joint Simulation of Occupant-building Interactions” on Tuesday, April 19 from 12:30 – 1:30 PM in Science Complex P101.

See below for more information about Seonghyeon Moon and his research.

Abstract: Several approaches exist for simulating building properties (e.g. temperature, noise) and human occupancy (e.g. movement, actions) in an isolated fashion, providing limited ability to represent how environmental features affect human behaviour and vice versa. To systematically model building-occupant interactions, several requirements must be met, including the modelling of (a) interdependent multi-domain phenomena ranging from temperature and sound changes to human movement, (b) high-level occupant planning and low-level steering behaviours, (c) environmental and occupancy phenomena that unfold at different time scales, and (d) multiple strategies to represent occupancy using established models. In this work, we propose an integrated platform that satisfies the aforementioned requirements thus enabling the joint simulation of building-occupant interactions. To this end, we combine the benefits of a model-independent, discrete-event, general-purpose framework with an established crowd simulator. Our platform provides insights on a building’s performance while accounting for alternative design features and modelling strategies.

Speaker Bio: Seonghyeon Moon is a 4th year Ph.D. student in Computer Science from Rutgers University.  Seonghyeon has a background in simulation and computer vision. His previous works involve enhancing occupant behavior simulation engine and starting a new ensemble of SyDEVS models for buildings. Currently, going further from simulation, he is conducting research on pedestrians movement prediction and he’s working on few-shot object segmentation which is the most basic challenge to computer vision.

Colloquium Talk with Honglu Zhou: April 1: Intelligent Video Understanding through Relational and Compositional Reasoning

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Honglu Zhou, Ph.D. student at Rutgers University in the Department of Computer Science, will give a virtual colloquium talk on Friday, April 1, from 12:30 – 1:30 PM.  Honglu will share her research projects in machine learning applications in computer vision and graphics.

See below for more information about Honglu Zhou and the links for the event.

Abstract: Our experience as humans is deeply shaped by our perception of what happens to the objects in the visual world. Rather than building a machine that attempts to attain visual intelligence from the static and low-level pixels of images, we might need to accomplish the non-trivial higher-level visual understanding from object-centric learning of videos. Among a few critical directions for visual perception and machine intelligence, relational reasoning that reasons the saliency of objects and their dynamic interactions, and compositional learning where we compose and decompose symbolic objects in order to form holistic representations can help us develop robust and generalizable systems that can not only visually perceive but also understand and even interact with the world. In this talk, I will introduce our work on relational reasoning and compositional learning of videos.

Speaker Bio: Honglu Zhou is a Ph.D. student at Rutgers University in the Department of Computer Science, under the supervision of Prof. Mubbasir Kapadia. Her research interests mainly lie in Computer Vision and Deep Learning. She is passionate about the next-generation machine intelligence, especially machine learning and machine reasoning that enable a deeper understanding of the semantics of real-world data, which can be in forms of video, graph, human skeleton and many more. Projects that she has been working on include human group activity recognition from videos, video chapter generation, spatiotemporal reasoning and object tracking, predicting crowd dynamics, enabling intelligent and automatic floorplan design, forecasting online information spread, etc. She is currently researching on how to augment deep neural networks with relational and compositional reasoning capabilities to enrich a higher level computational video understanding.

Zoom Meeting (ID: 957 7840 7919 / Password: 464063)

https://tcnj.zoom.us/j/95778407919?pwd=R3dab0Uzd3Jza2Q2SUp3MDY4Y0ZFZz09

Fall 2022 Registration Wait-list

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The registration period for Fall 2022 courses is April 5 – 15, 2022.  Some seats have been reserved for CS majors in all CSC courses.  Please review the Fall 2022 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 2022 Wait-list: https://bit.ly/35GdtJ7

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 be signing students into courses until Monday, April 18, 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 2022.

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.

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