Swarm Robotics Obstacle Avoidance: A Progressive Minimal Criteria Novelty Search-Based Approach. - Nesma M. Rezk; Yousra Alkabani; Hassan Bedour; Sherif Hammad (EPIA, 2015)

Streaming Tiles: Flexible Implementation of Convolution Neural Networks Inference on Manycore Architectures. - Nesma M. Rezk; Madhura Purnaprajna; Zain Ul-Abdin (IPDPS Workshops, 2018)

Recurrent Neural Networks: An Embedded Computing Perspective. - Nesma M. Rezk; Madhura Purnaprajna; Tomas Nordström; Zain Ul-Abdin (IEEE Access, 2020)

Multi-objective Recurrent Neural Networks Optimization for the Edge - a Quantization-based Approach. - Nesma M. Rezk; Tomas Nordström; Dimitrios Stathis 001; Zain Ul-Abdin; Eren Erdal Aksoy; Ahmed Hemani (CoRR, 2021)

Shrink and Eliminate: A Study of Post-Training Quantization and Repeated Operations Elimination in RNN Models. - Nesma M. Rezk; Tomas Nordström; Zain Ul-Abdin (Inf., 2022)

MOHAQ: Multi-Objective Hardware-Aware Quantization of recurrent neural networks. - Nesma M. Rezk; Tomas Nordström; Dimitrios Stathis 001; Zain Ul-Abdin; Eren Erdal Aksoy; Ahmed Hemani (J. Syst. Archit., 2022)