👩‍💻 I am a Research Scientist at Nvidia.
🎓 I got my PhD from Brown University.
📚 I am interested in Efficient AI, Deep Learning Optimizations, and Edge Intelligence.
👩‍💻 I am a Research Scientist at Nvidia.
🎓 I got my PhD from Brown University.
📚 I am interested in Efficient AI, Deep Learning Optimizations, and Edge Intelligence.
My research interests include Edge Intelligence, Adaptive/Dynamic Neural Networks, and Machine Learning optimization for resource-constrained devices.
My responsibility is to assist the students in completing their Labs that include using simulation digital design tools like LTspice, Electric, and other commercial tools for Logic Synthesis, Placement and Routing.
As a part of the OpenROAD project, I was responsible for implementing a physical synthesis tool on top of the open source logic synthesis tools Yosys and ABC in C/C++.
➡ M. Neseem, C. McCullough, R. Hsin, C. Leichner, S. Li, I. Chong, A. Howard, L. Lew, S. Reda, V. Rautio, D. Moro, “PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks", Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024. [pdf]
➡ A. Agiza, M. Neseem, S. Reda, “MTLoRA: Low-Rank Adaptation Approach for Efficient Multi-Task Learning", Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024. [pdf]
➡ M. Neseem, A. Agiza, S. Reda, “AdaMTL: Adaptive Input-dependent Inference for Efficient Multi-Task Learning", Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops 2023.[pdf]
➡ M. Neseem, A. Hosny, S. Reda, “Exploiting Activations Sparsity for Efficient Training and Inference of DNNs on the Edge", Preprint.
➡ M. Neseem, A. Hosny, S. Reda, “Sparse Bitmap Compression for Memory-Efficient Training on the Edge", Proceedings of the ACM/IEEE Symposium on Edge Computing 2021.[pdf]
➡ M. Neseem, S. Reda, “AdaCon: Adaptive Context-Aware Object Detection for Resource-Constrained Embedded Devices“, Proceedings of the International Conference On Computer Aided Design 2021.[pdf][Video]
➡ M. Neseem, J. Nelson, S. Reda, “AdaSense: Adaptive Low-Power Sensing and Activity Recognition for Wearable Devices“, Proceedings of ACM/IEEE Design Automation Conference 2020.[pdf][Video]
➡ T. Ajayi, V. A. Chhabria, M. Foga a, S. Hashemi, A. Hosny, A. B. Kahng, M. Kim, J. Lee, U. Mallappa, M. Neseem, G. Pradipta, S. Reda, M. Saligane, S. S. Sapatnekar, C. Sechen, M. Shalan, W. Swartz, L. Wang, ZWang, M. Woo and B. Xu, “Toward an OpenSource Digital Flow: First Learnings from the OpenROAD Project“, Proc. ACM/IEEE Design Automation Conference 2019.[pdf]
🎖 Richard Newton Young Fellow award in the Design Automation Conference, Las Vegas, Nevada June 2019.
🎖 Top Students Financial Awards, Ain Shams University, Cairo, Egypt 2013, 2014, 2015, 2016.