Fitness Tracking Using Machine Vision
Machine vision project with $10000 in venture capital. 
Posts by Collection
portfolio
Off-Grid Compressed Sensing for mmWave Channel Estimation
Sparse signal processing, but without quantization noise! 
Convolutional Encoder - From Theory to Layout
Designing a convolutional encoder from the ground up. 
Working at Intel
One year internship at Intel. 
(Smooth) Fictitious Play in Repeated Games
Numercially and theoretically studying the differences between Fictitious Play and Smooth Fictitious Play. 
Quantum Simulations for Phase Change Memories
Simulations to study new materials for application in phase change memories 
publications
Minimum Feedback for Collision-Free Random Access
Published in IEEE Int. Symp. Inf. Theory (ISIT), 2020
Recommended citation: Kang, J., Yu, W. (2020). " Minimum Feedback for Collision-Free Random Access." IEEE Int. Symp. Inf. Theory. https://www.comm.utoronto.ca/~weiyu/2020_ISIT_Justin.pdf
Minimum Feedback for Collision-Free Scheduling in Massive Random Access
Published in IEEE Transactions on Information Theory, 2021
Recommended citation: Kang, J., Yu, W. (2021). " Minimum Feedback for Collision-Free Scheduling in Massive Random Access.". https://ieeexplore.ieee.org/abstract/document/9543702
Scheduling for Massive Random Access
Published in University of Toronto Collections, 2021
Recommended citation: Kang, J. (2021). " Scheduling for Massive Random Access.". https://tspace.library.utoronto.ca/handle/1807/108955
Scheduling Versus Contention for Massive Random Access in Massive MIMO Systems
Published in IEEE Transactions on Communications, 2022
Recommended citation: Kang, J., Yu, W. (2021). "Scheduling Versus Contention for Massive Random Access in Massive MIMO Systems.". https://ieeexplore.ieee.org/abstract/document/9830079
Efficiently Computing Sparse Fourier Transforms of q-ary Functions
Published in IEEE Int. Symp. Inf. Theory (ISIT), 2023
Recommended citation: Kang, J., Erginbas*, Y. E., Agzazadeh, A., Ramchandran, K. (2023). "Efficiently Computing Sparse Fourier Transforms of q-ary Functions". https://ieeexplore.ieee.org/document/10206686
Learning to Understand: Identifying Interactions via the Mobius Transform
Published in Advances in Neural Information Processing Systems (NeurIPS), 2024
Recommended citation: Kang, J.S., Erginbas, Y.E., Butler, L., Pedarsani, R., Ramchandran, K. "Learning to Understand: Identifying Interactions via the Mobius Transform". NeurIPS, 2024. https://justinkang221.github.io/files/kang2024mobius.pdf