Select Publications

• Edward Kim, Jessica Yarnall, Priya Shah, Garrett Kenyon, "A Neuromorphic Sparse Coding Defense to Adversarial Images", International Conference on Neuromorphic Systems, ICONS, 2019.
• Edward Kim, Edgar Lawson, Keith Sullivan, Garrett Kenyon, "Spatiotemporal Sequence Memory for Prediction using Deep Sparse Coding", Neuro-inspired Computational Elements Workshop, NICE, 2019
• Edward Kim and Kathleen McCoy, "Multimodal Deep Learning using Images and Text for Information Graphic Classification", ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2018.
• Edward Kim, Darryl Hannan, and Garrett Kenyon, "Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons", IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2018.
• Edward Kim and Shruthika Vangala, "Deep Action Unit Classification using a Binned Intensity Loss and Semantic Context Model", In 23rd International Conference on Pattern Recognition, ICPR, 2016.
• Edward Kim and Shruthika Vangala, "Vinereactor: Crowdsourced Spontaneous Facial Expression Data", In ACM International Conference on Multimedia Retreival, ICMR 2016.

Grant Awards

• “CAREER: Sparse Associative Deep Learning using Neural Mimicry in Multi- modal Machine Learning.” National Science Foundation NSF CAREER Award. PI, $494,464, 6/1/2019.
• “Hierarchical Sparse Coding for Robustness against Adversarial Attack.” Intel Corporation. PI, $33,566, 9/1/2018.
• “Virtual simulation for assessment of anesthesia intraoperative crises.” Royal College Assessment with the Context of Competency-based Education, Royal College of Physicians and Surgeons of Canada. Co-PI, $22,936.85 11/1/2015.
• “wHealth - A Window to your future Health.” Robert Wood Johnson Foundation and Health 2.0. Games To Generate Data Challenge. Phase II award. Co-PI, $100,000, 10/1/2013.