4.00 / 4.00
4.00 / 4.00
3.63 / 4.00
3.70 / 4.00
Also see my Google Scholar profile
†§N. Soures, D. Chambers, Z. Carmichael, A. Daram, D. P. Shah, K. Clark, L. Potter, D. Kudithipudi, "SIRNet: Understanding Social Distancing Measures with Hybrid Neural Network Model for COVID-19 Infectious Spread, Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) Disease Computational Modeling Workshop, Remote, 2020.
‡—, —, Proceedings of the International Conference on Machine Learning (ICML) Machine Learning for Global Health Workshop, Remote, 2020.
†§Z. Carmichael, H. F. Langroudi, C. Khazanov, J. Lillie, J. L. Gustafson, D. Kudithipudi, "Deep Positron: A Deep Neural Network Using Posit Number System," Proceedings of the IEEE Conference and Exhibition on Design, Automation and Test in Europe (DATE), Florence, Italy, 2019 [24% acceptance rate].
†§Z. Carmichael, D. Kudithipudi. "Stochastic Tucker-Decomposed Recurrent Neural Networks for Forecasting." In IEEE Global Conference on Signal and Information Processing (GlobalSIP 2019), Ottawa, Canada, Forthcoming 2019.
†§Z. Carmichael, H. F. Langroudi, C. Khazanov, J. Lillie, J. L. Gustafson, D. Kudithipudi, "Performance-Efficiency Trade-off of Low-Precision Numerical Formats in Deep Neural Networks," Proceedings of the ACM Conference for Next Generation Arithmetic (CoNGA), Singapore, 2019.
†§Z. Carmichael, B. Glasstone, F. Cwitkowitz, K. Alexopoulos, R. Relyea, R. Ptucha, "Autonomous Navigation Using Localization Priors, Sensor Fusion, and Terrain Classification," Proceedings of IS&T International Symposium on Electronic Imaging: Image Processing Algorithms and Systems, San Francisco, CA, 2019.
†§Z. Carmichael, H. Syed, D. Kudithipudi, "Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting," Proceedings of the ACM Neuro Inspired Computational Elements (NICE) Workshop, Albany, NY, 2019.
‡Z. Carmichael, H. Syed, S. Burtner, D. Kudithipudi, "Mod-DeepESN: Modular Deep Echo State Network," Annual Conference on Cognitive Computational Neuroscience, Philadelphia, PA, 2018.
Z. Carmichael. "Towards Lightweight AI: Leveraging Stochasticity, Quantization, and Tensorization for Forecasting." Master's Thesis, Department of Computer Engineering, Rochester Institute of Technology. 2019.
† Proceedings Paper | § Oral Presentation | ‡ Poster Presentation
Thesis: "Towards Lightweight AI: Leveraging Stochasticity, Quantization, and Tensorization for Forecasting"
Poster: "Cheetah: Mixed Low-Precision Hardware & Software Co-Design Framework for DNNs on the Edge"
CPUtiful Tech was a company comprising four partners with the mutual interest of creating a consumer electronics retail company with a business platform based on personable interactions. The company was dissolved in 2016.