For recent work on VHDL Education, Raspberry PI making, and Machine Learning visit my GitHub Repo for more examples.
For My History Read on…
I received a B.S. degree in computer engineering, M.S. degree in computational electrical engineering from Miami University, Oxford, OH, and Ph.D. degree from the Air Force Institute of Technology, Dayton, OH, in 2009, 2011, and 2014, respectively. From June 2014 to October 2016 I worked at the Air Force Research Laboratory in the Micro-Electronics and Systems Assurance Group. Currently I’m employed by Northrop Grumman working in the area of FPGA design of digital systems. My research interests include MIMO communications, Machine Learning, and making with Raspberry Pi.
High School
In high school I took the furniture and cabinet making vocational program. At the time I didn’t think college was for me and focused on building and designing things. I made an electric guitar in wood shop while others were making book shelves. I also learned to weld some projects included, a six-wheeled four-person bike and a rototiller engine powered bike-tricycle. Upon graduating, I worked in a marble and granite countertop finishing factory. I quickly realized college was for me.
Undergraduate
I then enrolled at Kent State Stark branch to get caught up in math. After one year I transferred to Miami University where in four years I graduated with a bachelors in Computer Engineering. While at Miami University I designed and build the stage for two student ran theater productions and made a rotating stage for one of them. During my senior year I accepted a research assistantship position to get my masters.
Post-Graduate
I received my master’s degree in 2011 in Computational Electrical Engineering. I was the first person to graduate with this degree. Computational Electrical Engineering curriculum focuses on apply computer models to solve or analyze engineering problems. The curriculum included a class on Monte-Carlo simulations. Monte-Carlo simulations analyze problems using random inputs. Using these simulations has been beneficial in my career thus far.
After graduating with my masters I went to the Air Force Institute of Technology to get my Ph.D. There my studies focused on communication systems. In particular MIMO communications which is the study of using multiple antennas to increase bandwidth efficiency. I used the Monte-Carlo simulations to study MIMO channels and predict the performance of the transceiver system. Also while studying MIMO transceivers I studied how to implement a receiver in a Field Programmable Gate Array (FPGA). An FPGA is used over an embedded processor due to the high data rate required by the MIMO receiver.