Chidera Wokonko

Reliable and dedicated Electrical and Computer engineering major seeking to leverage a technical background accompanied with excellent communication and analytical skills. Knowledgeable in computer programming as well as hardware and embedded systems. Seeking to land an internship.

Undergraduate Researcher, ESMI Scholars program, Cornell University, Summer 2020

• Designed and Developed algorithms to track and predict the state level transmission intensity of COVID-19
• Modeled and visualized a real-time estimate of the transmission intensity of COVID-19 using Python and the New York Times Coronavirus dataset from GitHub.
• Determined that Non-Pharmaceutical Interventions were effective in slowing the spread of COVID- 19 and that reopening events contributed to an increase in the transmission intensity of the virus.
• Presented research project at the program’s virtual research symposium
• Featured in an abstract book that was published and distributed across campus to faculty, prospective students, funding agencies, and college administrators.

• Cornell Engineering Ryan Scholar
• Engineering Summer Math Institute (ESMI) Scholar

Machine Learning Handwriting Recognition Systems:

• Programmed in C/C++ within the Linux development environment
• Employed OOP to create data structures and several classes capable of storing images
• Implemented five distinct handwriting recognition algorithms that leveraged various data structures, algorithms, and programming paradigms such as Concurrent Programming, Generic Programming, Multithreading, Linear and Binary Search, and Graph and Table data structures.
• Profiled memory usage & execution time using flamegraphs to analyze and find areas of opportunities for performance enhancements.
• Optimized training and recognition of a 60K dataset and 10K testing dataset to execute within half a second with 91% accuracy

Human-Machine Interface:

• Executed communication protocols via radio frequency transceivers between three channels featuring a Raspberry PI and two Arduinos
• Programmed in Python and C simultaneously within the Linux OS environment
• Dictated full steering controls to a robot car using a Myoware Muscle Sensor.
• Created an LED Version of the popular Carnival game "High Striker"
• Performed fatigue analysis testing using an embedded system
• Conducted systems testing on the embedded system

Ultrasonic Robot Car:

• Built and coded a robot car with avoidance using an Arduino • Used an H-Bridge to control voltage polarity
• Coded Logic controls via C programming language
• Implemented ultrasonic sensors to determine logic controls.
• Utilized DC and Servo motors for movement.
• Worked with potentiometers to manipulate and scale the values of servo motors