IEEE's mission statement is simple: Advancing Technology for Humanity. We represent the Institute of Electrical and Electronics Engineers, and as the Rutgers chapter of this esteemed organization, we are devoted to inspiring and supporting a new generation of engineers and innovators as they use technology to change the world.
Rutgers IEEE is split up into divisions which often collaborate but operate independently. They include, Robotics, Drones, Machine Learning & AI, Introductory Coding, Electronics, and Signals and Security. The divisions cover many topics including computer vision, cyber security, internet of things, neural nets, path planning, and much more.
Our diverse array of projects and programs are targeting at pushing the limits of technology through student initiative, and as a result we are making significant headway in establishing the Rutgers community as a hub for creativity and ingenuity
Student President 2019-2020: Timothy Petersen
For more information and meeting times, follow IEEE Divisions on facebook:
- Machine Learning/Artificial Intelligence
- Novice2Expert Coding
- Signals and Security
A weekly lesson series focused on introducing students to programming, building and designing robots. We will cover an introduction to Arduino programming, using our libraries for motor controllers and encoders. We also discuss a simple closed loop feedback controller known as a PID controller that is effective for continuous modulated control. Students will also incorporate different types of sensors into their robots such as accelerometers, gyroscopes and distance sensors.
Meeting Time: Mondays 8:30-10:30pm
Location: IEEE Lab (EE-004) (subject to change, check fb regularly)
Description: VEXU is a collegiate level robotics competition designed to pit your university against others in head to head matches. Each year the Robotics Education & Competition Foundation releases a game for which you must design your robot to be the best, whether through intelligent programming, robust build quality, or killer strategy. It is our job at Rutgers IEEE VEXU to allow students of all backgrounds and majors to design, build, program, and strategize together to put Rutgers on the map of international competitive robotics.
Meeting Times: Thursdays 8-10pm
Location: IEEE Lab (EE-004)
Description: Micromouse is a robotics competition where each team builds a small robot designed to solve a 16x16 maze as quickly as it can. Within the maze, there are no inaccessible blocks, and the center 4 squares are designated as the goal. The robot has a period of time in the beginning to find its way to the center of the maze, then make its way back to the beginning. From there, the robot then has to find the shortest path to the center, and follow that path faster than any of the other robots.
Pacbot is a competition where the game of pacman has been recreated in real life. The goal of the competition is the same as the game, collect as may points as you can before the ghosts capture you. This is done autonomously so you must program the robot to figure this out on its own. The different parts of the game, like dots and ghost positions are sent wirelessly to the robot through an xbee wireless communicator.
Meeting Times: Tuesdays 8-10pm
Location: IEEE Lab (EE-004)
IEEE: ML/AI Division
The ML/AI team focuses on teaching and implementing the powerful concepts, methods, and tools from the rapidly growing fields of machine learning, artificial intelligence, and data analysis. The teaching heavy emphasizes both practical usage and fundamental understanding of ML techniques, covering topics from CS to math and statistics. These skills are strengthened through participation in ML/AI projects, where we code implementations that solve real-world problems.
ML/AI: Lecture Series
Description: Brief weekly lectures about basic ML/AI topics, followed by suggested short week-long projects, and a larger long-term project.
Meeting Times: Mondays 8 - 10pm
ML/AI: Paper Seminar (experimental)
Description: Weekly meetings where everyone brings in and presents an interesting ML/AI paper. We encourage high-level discussion of ML/AI techniques, and gear it towards more advanced topics.
Meeting Times: Mondays 8 - 10pm (subject to change)
Location: EE-203 (subject to change, check fb regularly)
IEEE: Novice2Expert Coding Division
We are a subdivision of IEEE with a goal of promoting interest in coding with different programming languages, and providing programming workshops and events for programmers in novice to expert levels! We believe that our club members need hands-on experience and one-on-one interaction with peers to learn effectively. We usually have workshops in Python, C++, and Java, but are open to teaching in other languages. Each language is divided into workshops which will be 1 hour each. Students can choose to be instructors in order to build leadership and communication skills. We want to keep the overhead low for both the instructors and the participants so that the club’s activities are manageable by students with a full-time course load.
Student President 2019-2020: Abhishek Chaudhuri
Meeting Times: TBD, Location: CoRE 538
IEEE: Electronics Division
Introduce and familiarize members with the basics of electronics and circuitry, as well as microcontrollers and computers such as the Arduino and Raspberry Pi. Hold instructional workshops to give students a chance to gain hands-on experience with electronic devices at a more practical level than in the classroom. Provides a great way for non-ECE students with an interest in the field to test the waters. Developing basic skills and understanding in electronics will enable members to pursue advanced projects inside and outside of Rutgers IEEE.
Student President 2019-2020: Dakota Rosell
Meeting Time: Tuesdays 8-10pm
We are proud to be the official international honor society for Electrical and Computer Engineers sponsored by the Institute of Electrical and Electronics Engineers. We help prepare students for the real world by hosting a variety of programs, workshops, and events. These include tutoring nights, panels, and community service programs.
Advisor: Prof. Anand Sarwate