headshot photo of Dr. Erik Linstead

Dr. Erik Linstead

Associate Professor, Associate Dean of Academic Programs and Faculty Development
Fowler School of Engineering; Electrical Engineering and Computer Science
School of Pharmacy
The George L. Argyros School of Business and Economics
Expertise: Machine Learning; GPU Programming; Autism Spectrum Disorder; Assistive Technologies; Predictive Analytics; Virtual Reality
Office Location: Hashinger Science Center 217
Phone: (714) 289-3159
Scholarly Works:
Digital Commons
Chapman University, Bachelor of Science
Stanford University, Master of Science
University of California, Irvine, Ph.D.

Video Profile


Currently serving as Schmid College Director of Undergraduate Computing Programs.

Recent Creative, Scholarly Work and Publications

Maoz, U., Linstead, E. “Brain Imaging and Artificial Intelligence.” In “Casting Light on the Dark Side of Brain Imaging.” A. Raz and R. Thibault, editors. Academic Press. 2019.
Boyd, L., Day, K., Abdo, K., Wasserman, B., Linstead, E., Hayes, G. “Paper Prototyping Comfortable VR Play for Diverse Sensory Needs.” CHI Conference on Human Factors in Computing Systems. Late Breaking Work. Glasgow, UK. May, 2019.
LaHaye, N., El-Askary, H., Linstead, E. “Evaluating the Plausibility of Including SAR Ingest and Analysis Capabilities in Unsupervised Deep Learning Framework for Multi-Modal Object Tracking and Detection.” International Conference on Space Mission Challenges for Information Technology. Pasadena, CA. July, 2019. (extended abstract)
Woodward, D., Stevens, E., Linstead, E. “Generating Transit Light Curves with Variational Autoencoders.” International Conference on Space Mission Challenges for Information Technology. Pasadena, CA. July, 2019.
Hyde, K., Novack, M., LaHaye, N., Parlett, C., Hong, E., Anden, R., Dixon, D., Linstead, E. “Applications of Supervised Machine Learning in Autism Spectrum Disorder Research: A Review.” Review Journal of Autism and Developmental Disorders. 2019.
Parlett, C., Lin, G., Jones, M., Linstead, E., Jaeggi, S. “Exploring Age-Related Metamemory Differences using Modified Brier Scores and Hierarchical Clustering.” Open Psychology. 2019.
Rosenfield, N., Lamkin, K., Re, J., Day, K., Boyd, L., Linstead, E. “A Virtual Reality System for Practicing Conversation Skills for Children with Autism.” Multimodal Technologies and Interaction. 2019.
Arbuckle, C., Tomaszewski, D., Aronson, B., Brown, L., Schommer, J., Morisky, D., Linstead, E. “Exploring the Impact of Information Source on Medication Adherence in the Digital Age.” Computers in Biology and Medicine. 2019.
Ott, J., Atchison, A., Linstead, E. “Exploring the Applicability of Low-Shot Learning in Mining Software Repositories.” Journal of Big Data. 2019.
Stevens, E., Dixon, D., Novack, M., Granpeesheh, D., Smith, T., Linstead, E. “Identification and Analysis of Behavioral Phenotypes in Autism Spectrum Disorder via Unsupervised Machine Learning.” International Journal of Medical Informatics. 2019.
LaHaye, N., Ott, J., Garay, M., El-Askary, H., Linstead, E. “Toward Generic, Multi-Modal Object Tracking and Image Fusion with Unsupervised Deep Learning.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2019.
Gapper, J., El-Askary, H., Linstead, E., Piechota, T. “Coral Reef Change Detection in Remote Pacific Islands using Support Vector Machine Classifiers.” Remote Sensing. 2019.
Boyd, L., Gupta, S., Vikmani, S., Gutierrez, C., Yang, J., Linstead, E., Hayes, G. “vrSocial: Toward Immersive Therapeutic VR System for Children with Autism.” CHI Conference on Human Factors in Computing Systems. Montreal, Canada. April, 2018.
Ott, J., Atchison, A., Harnack, P., Best, N. Anderson, H., Firmani, C., Linstead, E. “Learning Lexical Features of Programming Languages from Imagery Using Convolutional Neural Networks.” International Conference on Program Comprehension. Gothenburg, Sweden. May, 2018.
Ott, J., Atchison, A., Harnack, P., Bergh, A., Linstead, E. “A Deep Learning Approach to Identifying Source Code in Images and Video.” International Conference on Mining Software Repositories. Gothenburg, Sweden. May, 2018.
Atchison, A., Anderson, H., Berardi, C., Best, N., Firmani, C., German, R., Linstead, E. “Poster: A Topic Analysis of the R Programming Language.” International Conference on Software Engineering. Gothenburg, Sweden. May, 2018.
Springer, T., Linstead, E. “Adaptive QoS-Based Resource Management Framework for IoT/Edge Computing.” 2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), New York City, NY. November, 2018.
Hong, E., Burns, C., Stevens, E., Dixon, D., Linstead, E. “Topography and Function of Challenging Behaviors in Individuals with Autism Spectrum Disorder.” Advances in Neurodevelopmental Disorders. 2018.
Boyd, L., Day, K., Stewart, N., Abdo, K., Lamkin, K., Linstead, E. “Leveling the Playing Field: Supporting Neurodiversity via Virtual Realities.” Innovation and Technology – Journal of the National Academy of Inventors. 2018. (in press)
Arbuckle, C., Tomaszewski, D., Aronson, B., Brown, L., Schommer, J., Morisky, D., Linstead, E. “Evaluating Factors Impacting Medication Adherence Among Rural, Urban, and Suburban Populations.” Journal of Rural Health. 2018.
Gapper, J., El-Askary, H., Linstead, E., Piechota, T. "Development of a Robust Classifier and Evaluation of Generalization Properties for Multiple Shallow Benthic Habitats in the Pacific Ocean Using Remote Sensing Data." Remote Sensing. 2018.
Tomaszewski, D., Arbuckle, C., Yang, S., Linstead, E. "Trends in Opioid Use in Pediatric Patients In United States Outpatient Hospital Departments From 2006-2015." JAMA Network Open. 2018.
Atchison, A., Berardi, C., Best, N., Stevens, E., Linstead, E. “A Time Series Analysis of TravisTorrent Builds: To Everything There is a Season.” International Conference on Mining Software Repositories (MSR). Buenos Aires, Argentina. May, 2017.
Stevens, E., Atchison, A., Stevens, L., Hong, E., Granpeesheh, D., Dixon, D., Linstead, E. “A Cluster Analysis of Challenging Behaviors in Autism Spectrum Disorders.” International Conference on Machine Learning and Applications (ICMLA). Cancun, Mexico. December, 2017.
Arbuckle, C., Greenberg, M., Bergh, A., German, R., Sirago, N., Linstead, E. “T-Time: A Data Repository of T Cell and Calcium Release-Activated Calcium Channel Activation Imagery.” BMC Research Notes. August, 2017.
Linstead, E., Dixon, D., Hong, E., Burns, C., French, R., Novack, M., Granpeesheh, D. “An Evaluation of the Effects of Intensity and Duration on Outcomes across Treatment Domains for Children with Autism Spectrum Disorder.” Nature Translational Psychiatry. 2017.
El-Askary, H. LaHaye, N., Linstead, E., Sprigg, W., Yacoub, M. "Remote sensing observation of annual dust cycle and possible causality of Kawasaki disease outbreaks in Japan" Global Cardiology Science and Practice. 2017.
Linstead, E., Burns, R., Nguyen, D., Tyler, D. “AMP: A Platform for Managing and Mining Data in the Treatment of Autism Spectrum Disorder.” International Conference on Engineering in Medicine and Biology (EMBC). Lake Buena Vista, FL. August, 2016.
Linstead, E.. Dixon, D., Granpeesheh, D., French, R., German, R., Stevens, E. “Intensity and Learning Outcomes in the Treatment of Children with Autism Spectrum Disorder.” Journal of Behavior Modification. 2016.
Dixon, D., Linstead, E., Granpeesheh, D., French, R., Stevens, E., Stevens, L., Novack, M., Powell, A. “An evaluation of the impact of supervision intensity, supervisor qualifications, and caseload on outcomes in the treatment of autism spectrum disorder.” Behavior Analysis in Practice. June 2016.
Dixon, D., Burns, C., Granpeesheh, D., Powell, A., Linstead, E. “A Program Evaluation of Home and Center-Based Treatment for Autism Spectrum Disorder.” Behavior Analysis in Practice. October 2016.
Linstead, E., German, R., Dixon, D., Granpeesheh, D, Powell, A., Novack, M. “An Application of Neural Networks to Predicting Mastery of Learning Outcomes in the Treatment of Autism Spectrum Disorder.” International Conference on Machine Learning and Applications. Miami, FL. December 2015.
Arbuckle, C., Greenberg, M., Linstead, E. “Detection and Tracking of T Cells in Time Lapse Imaging.” ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (BCB). Atlanta, GA. September 2015.