Engineering & Computer Science Projects Digital Library

Maker Portfolio Professional engineers know that documenting their work is an essential part of the engineering process.  Clear, accurate documentation enables others to understand, replicate and build on existing work.

Recommendation

Publish their work

  • Elsevier.

    Elsevier is a leader in information and analytics for customers across the global research and health ecosystems This is subject to peer-review. Only approved copy will be published.

  • The Columbia Junior Science Journal.

    This is an online platform for high schoolers to publish manuscripts in the fields of natural sciences, physical sciences, engineering, and social sciences. This is subject to peer-review. If your paper leans towards more in science research, this will be a good one to submit. early. Usual submission deadline is in October for each academic year. Only approved copy will be published.

  • Cornell Archived Journal.

    "arXiv" (pronounced as "archive") is owned and operated by Cornell University. This is an open-access journal platform. The site that allows all publications with 3 referrals. It has been recommended to me that you should submit your paper to this site before the CJSJ; as your paper will be more likely to receive feedback.

Deliver oral presentation and present your work to public.

Apply for Summer STEM internship.
  • All of these programs are very selective, with strong software development skill, such as level III+ in Algorithms in C/C++, and excellent academic standing will be very helpful. Some are cost-free. Some are paid-internship.  Learn more

Start your own portfolio.
Do start writing your portfolio early. The portfolio should substantiate the technical depth, and longevity of your engineering interests, leadership, activities that make an impact. Thus, do not wait until 12th grade to jam information onto your own web portfolio at once.

Robotics / Computer Engineering Projects

adversarial
Defending Convolutional Neural Network-Based Object Detectors Against Adversarial Attacks
2nd Place of the Best Engineering Design at the 2020 IEEE Integrated STEM Education Conference
by Jeffrey Cheng and Victor Hu (both 11th graders)

Their work shows that adversarial attacks are substantial threats to the safety of autonomous vehicles by tricking their object detection pipelines, but their effects can be mitigated by using a variety of defense methods. They duo utilized state-of-the-art image classification systems, including facial recognition systems, object detectors, and convolutional neural network (CNN).  Learn more

Due to the pandemic, the presentation was recorded as  voice video.


Navigating a Maze with Visual Victims (3rd Place in the 2019 World Robocup Junior/Pre-college - Maze League)
by Jeffrey Cheng and Julian Lee (both 10th graders)

Jeffrey and Julian attended SR starting from their elementary school years. This project's goal is to autonomously navigate through a multi-levels maze composed of floors separated by ramps, and seek out the location of "victims" with computer vision. Victims, simulated by thermal devices and letter-represenation, are located at unpredicted locations throughout the maze. Their robot was able to "optimize" its path to reach all possible victims while navigating thru maze. Here is their presentation video at the 2019 World Robocup Jr. Syposium taken place at the Sydney in Australia.   Learn more

In the Summer of 2019, both delivered a tech-talk on this project at the World Symposium Event.   Here is a technical slide..


2018 ZeroRobotics Tech Talk Videos (done in 2019):
by Jagdeep Bhatia (Gr.11th), Mayur Sharma (Gr.11th), Prateek Humane (Gr.12th), and Sunny Cheng (Gr.12th).

Group received the honor to deliver an oral presentation at the 2019 International Space Station R&namp;D Conference held in Atlanta, Georgia. Among almost 100 professional and research presesentors, only six of them were by high school students.

  • Highlight of Tech Info about 2018 ZeroRobotics -- by Sunny Cheng.
  • Navigation with Dijkstra -- by Jagdeep Bhatia.
  • The Physics and Math Work Behind -- by Mayur Sharma.
  • Automated Simulations with AWS -- by Prateek Humane.
  • Data Modeling used to maximize predictability -- by Sunny Cheng.
 View the Videos.

RobocupJunior Maze Bot with Computer Vision. (2018)
by Ethan Wu (11th grade) and Daniel Xue (10th Grade).

Ethan Wu and Daniel Xue are two high school Junior and Sophomore. The duo’s work received Top Awards from 2017 and 2018 World Robocupjunior Tournaments. They have presented the project at the 2017 & 2018 Makerfaire flagship event, as well as the 2018 International RobocupJunior Symposium in Montreal.

Ethan started his first design of his own controller back at his 10th grade. He continued to improve it until Spring of 2018 - led his team to advance to 2017 and 2018 World Competition and won top awards for the team's hardware and software design. See the three versions of Ethan's creations .

From Fall of 2017 to Spring 2018, Daniel joined him and focused on the development of the computer vision control system, while Ethan continued to improve his own controller and robot design.

Their latest presentation ,in May 2019 at the USA RobocupJunior Competition Event, has received raving reviews from parents and competition teams mentors.

 Click here to watch their oral presentation.

  Click here to learn more from Ethan's work.


Customized Compact Robot (with Self-Design PCB ) (2016-8)
by Ethan Wu, 10th Grade)   Learn more

Ethan created his own customized designed platform to participate in 2017 RobocupJunior Maze. At the Fall of 2016 to 2018, Ethan delivered tech-talks on this project at the World Makerfaire and exhibited his design.


Combining SLAM with Image Processing to Generate Accurate 2-D Maps [Raspberry PI/Arduino] (2017-18):
by Alex Zhang (10th grade) and Sunny Cheng (11th).

Alex has started his SLAM project to participate in the 2018 RobocupJunior Maze Tournament. He created his own designed robot since early 2017. Sunny joined to continue working on the letters recognition of the Maze Challenge with OpenCV.     Learn more

Both Alex and Sunny attended SR since 2013, and 2012 respectively. In the Fall of 2018, both delivered a tech-talk on this project at the World Makerfaire and exhibit their project to the public.



FanGo - Fan Propelled Robot (2016 to 2017)
by Ashley Yang and Behavior Shah

Both Ashley and Bhavik attended SR from 2009 to 2017. In the Fall of 2017, Ashley will attend UT Austin majoring Mechanical Engineering; and Bhavik will enter Cornell University majoring computer science and engineering.     Learn more

In the Fall of 2017, both delivered a tech-talk on this project at the World Makerfaire and shared their exhibit.

Salil and Ashley entered University of Texas in Austin with engineering majors in 2016 and 2017 respectively.


Robots Formation (2015 to 2016)
by Prateek Humane and Neelay Trivedi  Learn more

Here is their presentation slide

Link to the portfolio webpage.

Prateek Humane and Neelay have attended at SR starting from their 4th, 5th grade respectively. In the Fall of 2016, both delivered a tech-talk on this project at the World Makerfaire and shared their exhibit.

Prateek entered McGill University and Neelay entered Stanford University. Both studied in one of the engineering fields as well as computer science.


PI-controller Line Tracker (2016)
by Reetom Ghosh
 Learn more

Reetom attended SR from 2013 to 2016. In the Fall of 2017, Reetom entered Purdue University majoring Mechanical Engineering.


A-Cart Algorithm Design (2016)
by Alex Zhang  Learn more

Alex has attended SR since 2013.


Soccer Robot (Exploration with Machine Learning) (2015-2016)
by Luke Dai (12th Grade)  Learn more

Luke created this project for the participation of 2016 RobocupJunior Soccer Tournament. Luke attended SR from 2009 to 2016. In the Fall of 2017, Luke entered UC Berkeley majoring computer science.


Computer Science Projects

Daniel Carroll (2011 to 2018)
Daniel has created his own website to discuss a few of his favorite algorithms. He has already planned to pursue Ph.D. to become a professor. He entered Lafayette College in 2018 with a handsome scholarship.  Learn more.


Ricson Cheng (2013 to 2015) - Entered the Carnegie Mellon University with major in Computer Science.
Here shows  three of Ricson Cheng's most accomplished computer science projects while he was attending SR:
  • GPS Multi-agent Robotics Project. (Spring of 2015)
  • Segmented Sieve of Eratosthenes. (2014)
  • Quicksort with Tripartite Partitioning. (2013)
 Learn more