Portrait image of Richard Anderson
Ronald C. Anderson, Ph.D.

Assistant Professor of Computer Science

Contact Information

OFFICE: Library 409
PHONE: 814-824-2118

Ronald Anderson is an assistant professor of computer science at Mercyhurst University. He first came to Mercyhurst in Fall 2024. Ron holds a Ph.D. in electrical engineering and an M.S. in applied mathematics, both from Texas Tech University. He also has a B.A. in computer science and mathematics from Thiel College in Greenville, PA.  
 
Ron has held multiple academic positions at both public universities and private colleges. Before coming to Mercyhurst, Ron served as an assistant professor of management at the School of Business and Economics at the University of Wisconsin – River Falls. There, he developed courses focusing on the applications of fourth-industrial revolution technologies like blockchain, 3D printing, artificial intelligence, and the Internet of Things. Before that, Ron served as an assistant professor of computer science at Thiel College, teaching most courses offered in the traditional computer science curriculum. 
 
In his research work, Ron focuses on several areas of applied mathematics and data analytics. His work in computational neuroscience simulates biological neural networks to uncover how the brain encodes and interprets information. He also applies artificial intelligence, machine learning, and big data techniques to problems common in business and medicine. His current area of focus is neuromarketing: using techniques from neuroscience to understand marketing materials and their effectiveness. He is also active in pedagogy research related to new technologies, such as AI, in the classroom.  
 
Ron often works with Mercyhurst students on projects related to EEG (brain wave recording) and eye tracking in neuromarketing projects, image processing, 3D modeling and printing, microcontroller programming and robotics, as well as other engineering-related activities.  

About Professor Anderson
    • Foundation mathematics, computer science, information technology, and engineering courses
    • First-year experiences in technology, as well as its entrepreneurial relevance and societal impacts
    • Multidisciplinary applications of data analytics and computer simulation
    • Computer architecture, networking, and general programming
    • Microcontroller systems and hardware
    • Large-scale simulations with a focus on biological neural networks
    • Feature mining and pattern classification in heterogeneous data sets
    • Medical image processing with a focus on EEG, fMRI, and DTI analytics
    • Pedagogical approaches for technology integration in the liberal arts classroom
    • IEEE
    • ACM