Student researcher in the Wave-Controlled Metasurface-Based Reconfigurable Intelligent Surfaces project.

Handling all submissions and grading for EECS 203A - Digital Image Processing.

In charge of grading assignments for EECS 101 - Machine Vision.

- Led a team of 5 students in part of an NSF-funded research project that focuses on creating a network of drones and sensors to map wildfires and assist firefighter personnel.- Demonstrated the ability to modify an open-source drone and its communications system to optimally relay messages and communicate with other drones.- Implemented Machine Learning algorithms (SVM, Neural Networks) and image compression algorithms to classify images based on importance and compress them accordingly to reduce load on the limited communication bandwidth.- Developed an algorithm to directly process JPEG images in the DCT domain using C++.

- Act as a bridge between undergraduate and graduate EECS students.- Plan events with GEECS (Graduate Electrical Engineers and Computer Scientists) and other graduate student organizations. Form and maintain connections with alumni and host industry events with them.- Help provide information to students regarding grad school and point them towards the right resources (counseling, administration, faculty).- Inform undergraduate students about research opportunities that they may be interested in and help them connect with faculty / graduate students that participate in those research projects, based on their topics of interest and faculty that works in that field.

- Connected with other organizations on campus and faculty, organized events, workshops, and kept track of memberships.- Organized the Electrical Engineering Specializations Panel - invited graduate students to share their experiences in the different fields of EE to help undergraduate students better understand the various career / academia paths available to them.

Worked with the Radar Science and Engineering Group on the AIRSAR-NG project.- Designed, tested, and verified a power distribution PCB for the DGPS system.- Designed a 1-PPS fanout buffer PCB.- Designed an RF distribution system and a clock distribution system.- Designed cable drawings to connect between various components and soldered different cables to power up and communicate with devices.- Maintained corner reflectors.- Applied Kalman Filters and Recurrent Neural Networks for sensor fusion.- Designed a system to visualize magnetometer readings on smartphones, instead of connecting the magnetometer with a USB cable to a laptop to obtain its reading. This provides a highly effective method to get precise compass readings in field settings when a specialized magnetometer is required.

- Developed a software to automate IP3 testing using NI-VISA protocols, C, and C++.- Characterized MM5620 Ideal Switches using a VNA and ensured that there are no significant outliers.- Performed power testing, hot switching measurements, Coff, Ron, switching time, IP3, and S-parameter characterization on various Ideal Switches.- Analyzed these results to ensure they meet the specs of the devices.- Generated plots and created presentations to present the data clearly to the rest of the team and customers.

- Designed and simulated transmission lines and PCB layouts using ADS to later improve signal integrity by analyzing eye diagrams and implementing equalizers.- Evaluated RF channels' performances using their S-Parameters with ADS, MATLAB, and Simulink.- Created a transimpedance amplifier using LTSpice.- Generated IBIS-AMI models using SystemVue.

- Designed, simulated, and tested analog and digital circuits that would be integrated into an electric racing car, including a pre-charging circuit for the car’s motors and high-voltage indicators. - Optimized circuit designs to make them more efficient by using less power and space.

Hyperspectral image processing project:- Ran simulations in MATLAB and Python to process hyperspectral images of landscape and obtain reflectance and downwelling spectra of leaves in the images.- Used these spectra to generate a training set to categorize the leaves in the images based on their properties, using a Neural Network model.

- Connected with other engineers on campus to expand our professional and interpersonal skills.- Organized an event where groups of engineering students came up with startup ideas and presented them to people from industry and other Engineering Student Council members.