I am currently an Associate Professor of Computer Science at Drexel University. I graduated with a Ph.D. in 2013 from the IDEA Lab supervised by Dr. Sharon Xiaolei Huang. My current research interests are computer vision, sparse coding, neuromorphic computing, and multimodal machine learning. I recieved an NSF CAREER award in 2019.
- July 2021 - Our NSF proposal for Ethical Research Amidst Emerging Digital Technologies, Algorithms, and Privacy Norms was funded. Congrats PI Jina Huh-Yoo!
June 2021 - Our poster was acceted at ICONS 2021 titled, Linking Sparse Coding Dictionaries for Representation Learning.
May 2021 - Our poster was accepted at the Grace Hopper Conference titled, Object Detection: Conservative Correct Humans vs. Overonfident Incorrect Machines.
April 2021 - Congratulations to Matt Stamm and Maureen Tang for being selected as Longsview Fellows. I’ll be collaborating with them on Renewable Energy and Power, and Smart Cities and Integration.
March 2021 - Our paper, Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems was accepted at IJCNN 2021.
March 2021 - Our DARPA grant for sparse coding on ultrasound videos was funded! Researchers Selected for Point-of-Care Ultrasound Program.
February 2021 - Our poster was accepted at CVPR-W 2021 titled, Deep Learning is Confidently Incorrect Over Time.
January 2021 - Excited for our funded collaboration with Moberg Analytics!
December 2020 - Our paper, The Interpretable Dictionary in Sparse Coding was accepted at the Explainable Agency in Artificial Intelligence Workshop, XAI Workshop, AAAI 2021.
October 2020 - Our paper, Information Graphic Summarization using a Collection of Multimodal Deep Neural Networks was accepted at ICPR 2020.
September 2020 - Our paper, Regularization and Sparsity for Adversarial Robustness and Stable Attribution was accepted for oral presentation at ISVC 2020.
September 2020 - I’ll be teaching the grad level CS 613 Machine Learning class at Drexel for the Fall Term.
September 2020 - Welcome Maryam Daniali, Daniel Schwartz, Andrew O’Brien, and Nicki Barari to the SPARSE Lab!
August 2020 - We were funded by the Drexel’s Rapid Response Research Fund for a project to investigate racial bias in machine learning!
August 2020 - I’ll be a Provost Fellow for the Drexel Solutions Institute 2020-2022.
June 2020 - The Bill and Melinda Gates foundation funded our COVID-19 digital platform proposal!
May 2020 - Our paper, Learning Spiking Neural Network Models of Drosophila Olfaction, was accepted at ICONS 2020.
February 2020 - Our paper, Modeling Biological Immunity to Adversarial Examples, was accepted at CVPR 2020.
February 2020 - Our paper, Using Sinusoidally-Modulated Noise as a Surrogate for Slow-Wave Sleep to Accomplish Stable Unsupervised Dictionary Learning in a Spike-Based Sparse Coding Models, was accepted at CVPR-W 2020.
February 2020 - I’ll be the Co-Chair of Computer Vision at ISVC 2020.
January 2020 - I’ll be teaching the grad level CS 613 Machine Learning class at Drexel for the Winter Term.
September 2019 - I’ve joined Drexel University as an Associate Professor of Computer Science! Jocelyn Rego will be joining the SPARSE Lab as a PhD student!
April 2019 - My presentation at NICE 2019 has been posted. See it in the portfolio section.
February 2019 - I was awarded an NSF CAREER award for work in neuro-inspired machine learning!
I run the SPARSE (SPiking And Recurrent SoftwarE) Coding Lab @ Drexel University. This lab is inspired by breakthroughs in computational and theoretical neuroscience that incorporate ideas not explored by current feed-forward deep learning architectures.
You can visit my lab page here SPARSE Lab
You can contact me via email edward(dot)kim826(at)drexel(dot)edu