Mubarak Ojewale

Mubarak Ojewale is a computer scientist and researcher specializing in distributed systems, real-time computing, and deep learning. He is currently a Postdoctoral Researcher at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia, focusing on accelerating distributed Deep Neural Networks (DNN) training and inference.12

Previously, Ojewale was a Doctoral Researcher at CISTER - Research Centre in Real-Time and Embedded Computing Systems in Porto, Portugal from January 2018 to April 2023.1 During his time at CISTER, he developed innovative routing heuristics and event-triggered techniques to enhance load balancing and performance guarantees in Ethernet-based ultra-low latency (uLL) networks.2

Education and Achievements

Ojewale holds a Ph.D. in Electrical and Computer Engineering from the University of Porto, where his thesis focused on multi-level preemption in Time-Sensitive Networking (TSN).2 He also has an MSc in Computer Science from the African University of Science and Technology in Abuja, Nigeria, and a BSc in Computer Science (First Class) from the University of Ibadan, Nigeria.1

Throughout his academic career, Ojewale has received several awards and scholarships, including:

• Portuguese National PhD Research Grant Award (2020)
• Student Travel Grant Awards for ACM Cyber-Physical Systems Week (2018) and IEEE Real-Time Systems Symposium (2021)
• Nelson Mandela Institute Merit Scholarship (2015)
• Total E&P National Undergraduate Merit Award (2012)

Professional Experience

Before his academic research career, Ojewale worked as:

• Associate Consultant at Discovery Cycle Professionals in Nigeria (2016-2017)
• Graduate Teaching Assistant at Taraba State University, Nigeria (2014-2015)
• Web Application Developer at Cellcore Limited (2013-2014)
• Web Developer Intern at Terragon Limited, Nigeria (2012-2013)

His research interests include real-time and ultra-low latency communication, scalable and distributed architectures, network performance, and data management.2