Rate My Professor Mohammed Sultan Ahmed Mohammed

Dr. Mohammed Sultan Ahmed Mohammed serves as a Lecturer in the Department of Electrical and Computer Engineering within the Faculty of Engineering and Science at Curtin University Malaysia, located at the Miri Sarawak Campus. He holds a Ph.D. in Electrical Engineering specializing in Computer Engineering from Universiti Teknologi Malaysia (UTM) obtained in 2022, a Master’s degree in Computer Engineering and Networks from the University of Jordan in 2015, and a Bachelor’s degree in Computer Science and Engineering from Hodeidah University in Yemen in 2005. His primary research specializations include Artificial Intelligence, Parallel and Distributed Computing, Computer Systems, 3D-Stacked Memory Architecture, Many-Core System-on-Chip (MCSoC), and Network-on-Chip (NoC). These interests drive his contributions to advancing efficient computing architectures and intelligent systems.

Throughout his career, Dr. Mohammed began as an Assistant Lecturer in the Computer Engineering Department at Hodeidah University, Yemen, from 2005 to 2012, during which he also served as Student Records Manager for the Faculty of Computer Science and Engineering from 2008 to 2009 and worked part-time as a Systems Engineer at Tehama Technology Center in Hodeidah. Following his Ph.D., he was a Postdoctoral Researcher at UTM from 2022 to 2024 before joining Curtin University Malaysia. His academic achievements are underscored by notable awards, including the 2022 Post-Doctoral Fellowship Award from UTM, the 2018 Best Paper Award at the 9th IEEE Control and System Graduate Research Colloquium (ICSGRC), the 2017 PhD Fellowship Award from Hodeidah University, and the 2012 MSc Scholarship Award from the German Academic Exchange Service (DAAD). Dr. Mohammed has an active publication record in prestigious journals and conferences. Key works include "3D-DNaPE: Dynamic Neighbor-Aware Performance Enhancement for Thermally Constrained 3D Many-Core Systems" published in IEEE Access (2023), "Motion Pattern-Based Scene Classification Using Adaptive Synthetic Oversampling and Fully Connected Deep Neural Network" also in IEEE Access (2023), "DTaPO: Dynamic Thermal-Aware Performance Optimization for Dark Silicon Many-Core Systems" in Electronics (2020), "PEW: Prediction-Based Early Dark Cores Wake-up Using Online Ridge Regression for Many-Core Systems" in IEEE Access (2021), and a book chapter "Random Forest Hardware Acceleration using FPGA for Prediction" in Hardware Implementation of Machine Learning and Other Algorithms (2023, UTM Press).