James Johansen, PhD

Assistant Professor, Department of Computer Science, Engineering, Mathematics, Physics, and Statistics

Office Location: West Campus, Segerstrom 113

Dr. Johansen has extensive industry and academic experience working on a variety of interdisciplinary topics. He has broad industry expereince in systems engineering and academic teaching and research experience at several universities. He has an interdisciplinary PhD from Liberty University focusing on faith and science, and how faith makes us better able to do good science. He has a MS and BS in Electrical Engineering from USC and two MA degrees from Biola in Science and Religion and Christian Apologetics. He enjoys helping students master the material required to succeed in STEMM fields. He is committed to teach individuals as whole persons, seeking to help them develop character as well as skill development.

Education

PhD, Theology and Apologetics, with Biology and Systems Engineering, Liberty University
Machine Learning Graduate Courses, Stanford University
MA, Christian Apologetics, Biola University
MA, Science and Religion, Biola University
Graduate Certificate in Unix and C Programming, UCLA
MS, Electrical Engineering, USC
BS, Electrical Engineering, USC

Credentials/Certifications

NASA Headquarters Award – GPS Use in Space
Institute on Navigation (ION) Distinguished Service Award
Numerous Customer Accommodation Letters
Three Individual Performance Recognition Awards from the Aerospace Corporation
Individual Spot Performance Awards from the Aerospace Corporation
Individual Spot Performance Award from the MITRE Corporation
Customer Recognition Awards
Lockheed Martin NOVA Award
NSF, NASA, DHS, DARPA, and Other Organizations – Numerous examples of getting direct government funding
Boeing Master’s Fellowship for my master’s degree in electrical engineering

Academic Area

School of Humanities and Sciences

Expertise

Systems Engineering, including applying Systems Engineering towards biological systems
Computer Architecture and Design, Information Systems
CubeSats, Space Systems, and Remote Sensing
Model-based Systems Engineering (MBSE)
Neuromorphic Computing
Machine Learning
Deep Learning

Courses Taught

CS 160 – Discrete Structures
CS 260/ENGR 260 – Algorithms and Data Structures
CS 360/ENGR 360 – Computer Architectures and Organization
CS 470 – Software Engineering
CS 480 – Senior Capstone Project
ENGR 101 – Introduction to Engineering
ENGR 345 – Systems Engineering Principles
WRIT 242 – Technical Communication