10:00 – 10:30 Registration and Presenter Check-in
Welcome and Opening Remarks
10:30 to 11:00
Dean Justin Vazquez-Poritz | School of Arts and Sciences
Dean Maureen Archer | School of Professional Studies
Featured Presentations
11:00 – 12:00
Prof. Pegah Khosravi, Biology Department
Prof. Geoffrey D. Zylstra, Social Science
Franklin Rosado, Security Engineering Manager of Information Security at Coinbase.
Student Projects
12:00 to 2:00
12:00 – 12:15 Irina Chernyavskiy, Math Education
Hacking Learning and Motivation
Faculty Mentor: Jonas Reitz
Even before Covid student’s attention spans and interest in education was waning. After Covid, this fact was exasperated. I want to implement elements of gameification into the classroom to get students to be motivated to learn.
Related Course: MEDU 3000 – Mathematics of the Secondary School
12:15 – 12:30 Divya Kaushal, Maharin Khondoker, Haila Nagi, Computer Engineering Technology
Experiential Service Learning with Assistive Technology
Faculty Mentor: Farrukh Zia
Students design and make open-source low-cost Assistive Technology (AT) devices for people with disabilities. These AT devices involve the use of a variety of hands-on learning skills such as 3D design, 3D printing, Electronic circuit prototyping, Printed Circuit Board fabrication, Computer hardware circuits, Computer programming, Testing and Troubleshooting. Service-learning objectives are achieved when student volunteers design, build, test and distribute the AT devices to the end users, who are children and adults with disabilities in the New York City area. The AT devices are provided to the people with disabilities with the help of Occupational Therapy (OT) professionals who are members of New York City Tech chapter of Makers Making Change non-profit organization. The approach lowers the cost barrier for people with disabilities to have access to useful Healthcare Assistive Technology. All design and maker activities are based on open-source hardware and software licenses which significantly lowers the cost of these AT devices. Related Course: CET 4811 Capstone Design Project
12:30 – 12:45 Marcos Esquea
RGB Led Tabletop Lamp
Faculty Mentor: Andy Zhang
Mostly 3D printed RGB Led lamp focused on integrating the versatility of preprogrammed LED strip lighting with simple but aesthetic design.
Related Course: IND 2304 Mechanical Engineering
12:45 – 1:00 Joseph buonocore, Computer Systems Technology
Game development project- priorities
Faculty Mentor: Tamrah Cunningham
My project is currently being finished, however I have so much I want to share and want to speak on that I will have no problem presenting my work. The project is that I was supposed to develop a game on a software named RPG maker MV, and the teacher gave us 1 month to complete it after teaching us how the basics on how to program it, however I have learned the basics within the first week of the class so I’ve has been working on this for about a month and a half now. I have much I would like to share on what it is like being a game developer and the software itself, as this is my dream.
Related Course: Cat 4701
1:00 – 1:15 Nigel Sukhnandan, Kevindra Ghamandi, Edmond Lee, David John-Charles, Carlos, Lazo, Elton, Yuen, Mechanical Engineering
Automated Recycling System
Faculty Mentor: Angran Xiao
This project aims to reduce the percentage of improperly recycled material by making an easy-to-use, automated metal and non-metal recycling system. This system will separate metal from non-metal containers and bottles into two separate bins. The system will also be easy to maintain so anyone can keep it working as intended. This project uses a metal detector to differentiate between material and proximity sensors to see where the bottles are as well as a servo motors mechanism to separate the bottles.
Related Course: MECH0 4850 Senior design
1:15 – 1:30 Christian Rosa, Computer Engineering Technology
Program and control of an ROS compatible mobile robot.
Faculty Mentor: Professor Lili. Ma
The programming and control of a robot similar to that of a roomba, What I will be doing is a little tech demo of the turtlebot3 and then when the tech demo is done I will be diving into the nitty gritty of the robot and how it communicates with my host pc and itself.
For example, the robot establishes a “”Node”” within ROS, this node then communicates with another Node that controls movement through a “”Topic”” within ROS. It’s a very basic and cute little tech demo that could get students interested in ROS themselves or the computer engineering major.
Related Course: CET 4952
1:30 – 1:45 Norm Miller, Computer Systems Technology (Data Science)
History with New York City Bike Share Trip Data
Faculty Mentor: Professor Patrick Slattery
In this project, we will analyze bike share ride data from December 2020 in correlation with weather patterns that reveal some interesting trends during the height of the COVID-19 pandemic. We examined CitiBike data from New York City alongside weather data from Visual Crossing and found that ridership decreased on rainy, windy, and snowy days. Weekday rides showed distinct morning and evening rush hours, while weekend rides were more evenly distributed. Generally, weekend ride counts were higher than those of adjacent weekdays.
When we looked at ridership for that month, we found that December 13th had the highest number of rides, which was a record high for the system. However, we also noticed that no riderships were recorded on December 17th. Further investigation revealed that a total of 8 inches of snowfall on December 17th and 18th caused the decline, while some other days had rain and wind. temperature variations had an impact on ridership.
This synthesis of bike share and weather data highlights the impact of weather conditions on ridership, offering valuable insights for system enhancement. Recognizing lower ridership during adverse weather conditions can prompt system improvements by providing users with weather-related information, aiding in demand planning, and ultimately refining the overall bike share experience. We will also be using Spatial Maps to show most of the Citibike station ports in NYC.
Related Course: CST 3512 – Information and Data Management II
1:45 – 2:00 Kevindra Ghamandi, Nigel Sukhnandan, Edmond Lee, Thomas Alarcon Ali, Louis Checo, Cristian Santiago, Mechanical Engineering Technology
Exploring Advanced Robotic Systems
Faculty Mentor: Professor Andy Zhang & Professor Ali Harb
We will explore the transformative impact of Artificial Intelligence on collaborative robotics, focusing on three distinct robotic arms: the Universal Robots UR5e and UR3e models. These arms have a payload capacity of five kilograms and three kilograms respectively. Each robot is equipped with a unique gripper system. Among the trio of robots, one stands distinguished by its cutting-edge A.I.-integrated camera system by Micropsi Industries called MIRAI, facilitating unparalleled precision, adaptability, and simplicity in its operations while utilizing reinforcement learning. Another boasts a sophisticated vision-based camera system, allowing for enhanced object recognition. Meanwhile, the third robot relies solely on a conventional gripper mechanism, demonstrating reliability through tried-and-tested means. Each robotic unit offers a unique approach, tailored to suit specific tasks and challenges, collectively representing a diverse spectrum of technological solutions. We will explore the three systems and real-life applications. Furthermore, exploring the benefits of Artificial intelligence and the ease of use of the MIRAI system from an end-user perspective and demonstrating a seamless and user-friendly experience. By harnessing AI capabilities, the MIRAI system becomes adept at learning and adapting to user preferences and operating environments, ultimately enhancing efficiency and productivity.
Related Course: MECH 3572 & Robotic Systems Design and Applications, MECH 4872
Closing Remarks
2:00 – 2:10
Reginald Blake, PhD
Associate Provost and Dean of Curriculum and Research NSF PAESMEM Presidential Fellow Co-Director, Center for Remote Sensing and Earth System Sciences (ReSESS)
