Godfred Osei Bonsu is a highly motivated and accomplished electrical engineer currently pursuing a Ph.D. in Electrical Engineering at Iowa State University, where he maintains a perfect GPA and focuses on analog and mixed-signal VLSI circuit design, data converters, microwave engineering, and data analytics. His research centers on ultra-small area, low-cost DAC design, analog fault detection, and multisite analog and mixed-signal testing, where he develops innovative methodologies to detect soft faults, improve INL and DNL, and decompose cross-wafer die-specification variations. Godfred has contributed to multiple high-impact publications, including works on redundancy-interpolated DACs, statistical analysis of nonlinearity errors, and high-resolution waveform generation, accepted at prestigious conferences such as the International Test Conference and IEEE International Midwest Symposium on Circuits and Systems. Before his doctoral studies, Godfred earned a B.Sc. in Electrical and Electronic Engineering from Kwame Nkrumah University of Science and Technology, graduating with distinction and receiving the Tullow Oil Scholarship for academic excellence. He has also been recognized on the Provost’s List multiple times and was part of the winning team of the National Science and Maths Quiz. His technical skills include Python, MATLAB, Cadence Virtuoso, and INNOVUS, applied in designing operational amplifiers, bandgap voltage references, current mirrors, and efficient data converter architectures. Godfred combines his research expertise with hands-on teaching experience, having served as a teaching assistant at KNUST for courses including power electronics, electric drives, and synchronous machines. Additionally, he has reached thousands of students worldwide as an online tutor, providing high-quality lessons in linear electronic circuits, power generation, and applied electricity. With a strong foundation in research, teaching, and innovation, Godfred is dedicated to advancing the field of electrical engineering through cutting-edge circuit design, rigorous testing methodologies, and impactful knowledge dissemination.