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Events

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

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 (zsilave2@tcnj.edu) 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.

Computer Science Colloquium: April 3

On Friday, April 3,  the Computer Science Department will host its final colloquium of the Spring 2020 semester.  Ryan Levering (TCNJ Class of 2002) of Google will give a technical talk on recent trends in data management in the industry entitled “Knowledge in Search Engines”.  An abstract of his talk can be found below.

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

Google Hangout Meet:
https://meet.google.com/omi-whub-gpj

If you’d like to participate in the talk and ask questions, please email Dr. Yoon to be added as a guest to the room.  CSC 299 students will automatically be added as guests.

If you only would like to listen to the talk, use the live stream link below at the time of the talk.  You will need to log in with your TCNJ credentials: https://stream.meet.google.com/stream/9188dcfd-f173-454c-8561-13eac32b5c95

Abstract:
Search engines have come a long way in the past twenty years as user needs and technology have changed. More and more, users are expecting search engines to know what they want rather than just be an index of web pages. In order to solve this very hard problem, they continue to incorporate techniques and patterns from many different computer science disciplines. From natural language understanding to databases, these disciplines help to build a semantic graph of knowledge. In this talk, we’ll go over some of those exciting problems and how Google is approaching them.

Bio:
After graduating in 2002 from The College of New Jersey Computer Science Department, Ryan Levering attended graduate school at SUNY Binghamton. There he made it almost all the way through a PhD dissertation in applied machine learning before deciding that he’d rather write code than papers. He spent some time in a flight search company working on machine learning systems before the company was acquired by Google, where he’d always wanted to work. Now he works on APIs and tools for Google to ingest structured data from the people who own it. He lives near Boston with his wife and two children.

Computer Science Colloquium: March 6

On Friday, March 6,  the Computer Science Department will host its next colloquium for the Spring 2020 semester. Angela Huang (TCNJ Class of 2017) from the University of Pennsylvania will give a technical talk on bioinformatics entitled “A Subspace Clustering Algorithm for Identifying Cell Populations with scRNA-seq”.  An abstract of her talk can be found below.

Please join CS faculty and students in Science Complex P101 from 12:30 – 1:30 PM for this talk.
Refreshments will be provided.

Abstract:

Background: With the advent of single-cell RNA-sequencing (scRNA-seq), researchers now have the ability to define cell types from large amounts of transcriptome information. Over the years, various clustering algorithms have been designed. Motivation for such work can be seen in Cell Atlas projects, which aim to depict cell types present in an organism across its stages of development. Currently, most clustering algorithms measure cell-to-cell similarities using distance metrics on the full set of genes (after the optional step of dimension reduction). This requires clusters to be both compact and far enough apart that the algorithms can recover them. However, for developmental data, the clusters may not be compact; cells may be well spread out across developmental trajectories. The clusters may also not be very far apart; the developmental trajectories may intersect.

Methods: In our work, we propose to model each cell population with a single affine subspace, where all cells of the same type share a common set of constraints.

Results: We present an algorithm that leverages this subspace structure and learns a cell-to-cell affinity matrix based on notions of subspace similarity. We simulate scRNA-seq data according to the subspace model and benchmark the performance of our algorithm against pre-existing methods. We further test our algorithm on an in-house C. elegans dataset and other developmental datasets.

Significance: We show how our algorithm is able to recover information on both cell type and developmental time. Lastly, we demonstrate how the subspace model allows us to compactly recover the major genes involved in an organism’s development.

Bio:
Angela Huang is a Computer Science alumni of CS @ TCNJ. She is currently pursuing her PhD in Computer Science at The University of Pennsylvania. Her research interests are broadly in the areas of Computational Biology and Data Analysis. Prior to graduate school, her interest in Computational Biology grew through her research experiences in Dr. Dimitris Papamichail’s laboratory at TCNJ, Dr. Xin Li’s laboratory at Louisiana State University, and Dr. Michael Brent’s laboratory at Washington University, St. Louis. In her free time, Angela enjoys nature, art, choreography, and exploring new exhibits around Philadelphia.

Computer Science Colloquium: February 7

On Friday, February 7,  the Computer Science Department will host its first colloquium of the Spring 2020 semester.  Jesse Cerutti of Pfizer will give a technical talk on data management skills in pharmaceutical industry entitled “Enterprise Data Lakes: The backbone of next-gen analytics”.  An abstract of his talk can be found below.

Please join CS faculty and students in Forcina Hall 408 from 12:30 – 1:30 PM for this talk.
Refreshments will be provided.

Abstract:
Successfully executing on a data lake strategy at an enterprise level requires multiple teams with varying technical skillsets. The architecture of the solution can quite literally make or break the success of the project. In this talk I will discuss the background of our Pfizer manufacturing application landscape and why a data lake is critical to future success. I will also get into the details of the architecture, application design challenges and considerations as well as technologies required in the implementation of the project. Finally, when completed successfully I will discuss how this enables next-gen analytics for our manufacturing sites and the wider organization.

Bio:
Jesse Cerutti currently leads the Solution Engineering practice within the Digital Quality Manufacturing group. Within this role his responsibilities include architecting and guiding engineering practices for all global applications that are used within the laboratories across the Pfizer manufacturing network. Jesse has over 18 years experience working in technology either for or associated with the Pharmaceutical industry and has spent the last 10 years at Pfizer in various roles. Prior to his role in Solution Engineering, Jesse has held roles that include web development, AWS infrastructure design, and Laboratory Information Management solution development. Jesse’s education includes a B.S. in Computer Science from The College of New Jersey, an MBA from William Paterson University.

Fall 2019 Celebration of Computing Photos

Congratulations to the 27 presenters at this fall’s Celebration of Computing, held on Wednesday, December 4!

Gallery of Photos (Taken by Computer Science Department Faculty & Staff)

 

 

 

 

 

Celebration of Computing: December 4, 2019

Please join the CS faculty and students at our annual Celebration of Computing event on Wednesday, December 4, 2019.

We hope to see you there!

Activity/Event Time Location
Lunch & Games 12:00 – 12:50 PM STEM 102, 101
Student Awards 12:35 – 12:50 PM STEM 102
Presentation Session 1 1:00 – 2:00 PM STEM 102, 103 & hallways
Presentation Session 2 2:00 – 3:00 PM STEM 102, 103 & hallways
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