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Author Archives: Ann Zsilavetz

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.

Fall 2022 & Winter 2023 News Roundup


Call for CS Student News

Over the course of the semester, Ms. Zsilavetz will be updating the CS Department white board (near the CS Office) with information about our students’ offers of employment, acceptances to graduate schools, accepted internship and summer REU opportunities, or publications.  This is one way that the CS Department likes to celebrate our students’ achievements each spring semester.  We encourage you to watch as the boards populate over the next few weeks and to email Ms. Zsilavetz (zsilave2@tcnj.edu) with any news that you would like us to share on the board.


Dr. Ferdous and CS Junior Co-author Research Publication

Congratulations to Dr. Sharif Shahnewaz Ferdous and Andrew Michael (Class of 2024) on their recent publication, titled “Use of Scaling to Improve Reach in Virtual Reality for People with Parkinson’s Disease”. The publication citation and abstract can be found below:

S. M. S. Ferdous, A. Michael, T. I. Chowdhury and J. Quarles, “Use of Scaling to Improve Reach in Virtual Reality for People with Parkinson’s Disease,” 2022 IEEE 10th International Conference on Serious Games and Applications for Health (SeGAH), Sydney, Australia, 2022, pp. 1-7, doi: 10.1109/SEGAH54908.2022.

Abstract: This research investigates the effect of scaling in virtual reality to improve the reach of users with Parkinson’s disease (PD). People with PD have limited reach, often due to impaired postural stability. We investigated how virtual reality (VR) can improve reach during and after VR exposure. Participants played a VR game where they smashed water balloons thrown at them by crossing their midsection. The distance the balloons were thrown at increased and decreased based on success or failure. Their perception of the distance and their hand were scaled in three counterbalanced conditions: under-scaled (scale = 0.83), not-scaled (scale = 1), and over-scaled (scale = 1.2), where the scale value is the ratio between the virtual reach that they perceive in the virtual environment (VE) and their actual reach. In each study condition, six data were measured −1. Real World Reach (pre-exposure), 2. Virtual Reality Baseline Reach, 3. Virtual Reality Not-Scaled Reach, 4. Under-Scaled Reach, 5. Over-Scaled Reach, and 6. Real World Reach (post-exposure). Our results show that scaling a person’s movement in virtual reality can help improve reach. Therefore, we recommend including a scaling factor in VR games for people with Parkinson’s disease.


Photo of Sara Aly (Class of 2024).

CS Junior Presents REU Research at IFoRE 2022

Congratulations to Sara Aly (Class of 2024) who, along with her REU research partner, presented at the International Forum on Research Excellence (IFoRE) conference hosted by Sigma Xi, The Scientific Research Honor Society, in November 2022!  Sara’s presentation, titled, “Accessible Hand Motion Data Acquisition Using Computer Vision”, won best presentation in the Undergraduate Math and Computer Science category, and she and her research partner were both inducted into Sigma Xi.  Sara’s work was completed as part of a summer 2022 REU at Cleveland State University.

 

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: https://tcnj.co1.qualtrics.com/jfe/form/SV_7QDMD2fwgIgYy4m

If you have any questions or need a copy of the schedule of presentations, please contact cs@tcnj.edu.

Spring 2023 Registration Wait-list

The registration period for Spring 2023 courses is November 1 – 11, 2022.  Some seats have been reserved for CS majors in all CSC courses.  Please review the Spring 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 form below.

Be sure to read all directions and enter all requested information.

Spring 2023 Wait-list: https://bit.ly/3SXJ7oV

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 start signing students into courses until Monday, November 14, 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 Spring 2023


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.

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

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

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