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Always patient and encouraging to students.
Creates a positive and motivating atmosphere.
Encourages deep understanding and curiosity.
A true inspiration to all who learn.
A true inspiration to all learners.
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About Mahbuba
Dr. Mahbuba Afrin is a Senior Lecturer in the School of Electrical Engineering, Computing and Mathematical Sciences (EECMS) within the Faculty of Science and Engineering at Curtin University, Australia. She earned her Doctor of Philosophy from Swinburne University of Technology, Melbourne, Australia. Prior to her PhD, she completed a Master of Science and a Bachelor of Science in Computer Science and Engineering from United International University, Dhaka, Bangladesh. Following her doctoral graduation, Dr. Afrin held the position of Vice-Chancellor's Postdoctoral Research Fellow at Curtin University, where she conducted advanced research in robotics and cyber-physical systems before transitioning to her current academic role as Senior Lecturer.
Dr. Afrin's research focuses on networked robotics, cyber-physical systems, and applied machine learning, particularly resource allocation in multi-agent cloud robotics, edge cloud optimization for robotic workflows, and AI applications in agriculture, healthcare, and smart factories. Her seminal works include the highly cited survey 'Resource allocation and service provisioning in multi-agent cloud robotics: A comprehensive survey' published in IEEE Communications Surveys & Tutorials (2021, 211 citations); 'Multi-objective resource allocation for edge cloud based robotic workflow in smart factory' in Future Generation Computer Systems (2019, 158 citations); 'Machine learning-based proactive social-sensor service for mental health monitoring using Twitter data' in International Journal of Information Management Data Insights (2022, 80 citations); 'Energy-efficient optimal task offloading in cloud networked multi-robot systems' in Computer Networks (2019, 51 citations); and 'Dynamic Task Allocation for Robotic Edge System Resilience Using Deep Reinforcement Learning' in IEEE Transactions on Systems, Man, and Cybernetics: Systems (2023, 24 citations). With over 600 citations across her publications, Dr. Afrin's contributions have advanced resilient robotic systems and edge computing paradigms. She has engaged in public outreach, including presentations on AI applications in healthcare.
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