I am currently pursuing a Master of Science in Electrical and Computer Engineering through Purdue University. I am earning a graduate concentration in Microelectronics and Advanced Semiconductors, and taking additional coursework to focus in RF and Communication Systems, Internet of Things, Electromagnetics, and Signal Processing. I will be graduating from this program in May 2023.
I earned Bachelor's degrees in both Electrical Engineering and Mathematics from Arkansas Tech University in May 2021.
· Python, MATLAB, C++, Ladder-Logic Programming
· RF and Communication Systems
· Schematic and PCB Design/Simulation (Cadence PSpice, Eagle, Advanced Design System)
· Internet of Things System Design (Connected Sensor Nodes, Distributed Networks)
· Industrial PLC and HMI Programming (Allen-Bradley)
· Organization, Leadership, and Project Planning
Arkansas Tech University
Principal Investigator: Dr. Muhammad Khan
Publication: Internet of Things Based Remote Sensing for Ornithological Monitoring
Interdisciplinary - Engineering, Computer Science, and Biology
Project Goal: Develop a radio-frequency identification datalogger network that tracks bird feeder use by individual birds and automatically processes and wirelessly reports the data in an easily digestible format best suited for the research project at hand and needs of the biologists.
Overview: Observed many areas of engineering on a day to day basis over the course of the internship. Gained valuable hands on experience that will be beneficial in any workplace in the future. Led a team to complete a project that will lower production cost and reduce production errors significantly. A full and detailed internship report is available upon request.
M. Khan, D. G. Barron, R. Patil, M. Nannemann and M. Courson, "Internet of Things Based Remote Sensing for Ornithological Monitoring," 2020 IEEE Green Technologies Conference(GreenTech), Oklahoma City, OK, USA, 2020, pp. 71-73, doi: 10.1109/GreenTech46478.2020.9289727.
Project Goal: Develop a low-cost network of smoke detector sensors that can easily be deployed and maintained by an organization with limited funds such as a non-profit. The system should consist of individual nodes and a central Node-Red server which can automatically send a text message if one of the alarms is activated.
Russellville, Arkansas, United States
Matthew Nannemann
Russellville, Arkansas, United States
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