Mohamed Mejri

I'm a PhD student at the Georgia Institute of Technology, delving into reliable hyperdimensional computing frameworks under Prof. Abhijit Chatterjee. My research bridges the gap between theoretical underpinnings and practical applications, focusing on enhancing the fault tolerance and efficiency of HDC systems. Through my work, I aim to contribute innovative solutions to the field, paving the way for robust computing paradigms in various technological domains.

• Jay Schlag Fellowship
• Tunisian Government Outstanding Fellowship
• Finalist Nokia & Orange Innovation Challenge

• Amarnath, C., Mejri, M., Ma, K., & Chatterjee, A., Soft error resilient deep learning systems using neuron gradient statistics. 2022 IEEE 28th International Symposium on On-Line Testing and Robust System.
• Mejri, M., & Bekara, M., Application of Machine Learning for the Automation of the Quality Control of Noise Filtering Processes in Seismic Data Imaging. Geosciences 10 (12), 475, 2020.
• Amarnath, C., Mejri, M., Ma, K., & Chatterjee, A., Error Resilience in Deep Neural Networks Using Neuron Gradient Statistics. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023.
• Mejri, M., Amarnath, C., & Chatterjee, A., A Novel Hyperdimensional Computing Framework for Online Time Series Forecasting on the Edge. arXiv preprint arXiv:2402.01999, 2024.
• Ma, K., Mejri, M., Amarnath, C., & Chatterjee, A., Low Power Neural Network Accelerators Using Collaborative Weight Tuning and Shared Shift-Add optimization. 2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS).
• Mejri, M., Amarnath, C., & Chatterjee, A., DeepER-HD: An Error Resilient HyperDimensional Computing Framework with DNN Front-End for Feature Selection. To appear in LATS 2024.
• MEJRI, M., Amarnath, C., & Chatterjee, A., Error Resilient Hyperdimensional Computing Using Hypervector Encoding and Cross-Clustering. To appear in VTS 2024.

• Python, C++, JAVA, Tensorflow, Pytorch, OpenCV, Vivado HLS, Vivado Design Suite