Mohammad Saiedur Rahaman

About Me

Dr. Saiedur Rahaman's research sits in the cross-cutting areas of data science (analytics, machine learning and deep learning), intelligent sensing (mobile, wearables, IoT), and human-centred computing. His work has been applied to different industry verticals and pervasive environments, including classrooms, smart cities, transport, renewable energy, health & wellbeing, and assistive technologies. He has published in top-tier outlets, including IoT Journal, Information Sciences, TIST, IJHCS, Pervasive and Mobile Computing, Neurocomputing, IMWUT/UbiComp, Percom, and CIKM. He has served as a PC member of premier data science and AI conferences, including IJCAI, Percom, KDD, WSDM, CIKM and as program co-chair of IEEE PerAwareCity'20.

He is the winner of IMWUT/Ubicomp 'Distinguished Paper Award-2021' (A*), as well as RMIT's 'ROSE-2019 teaching award', 'Teaching and Learning Incentive Grant 2019' and 'Certificate of Outstanding Teaching-2017'. He is a DAAD AINet fellow, has a rich history of multi-disciplinary collaboration with Microsoft USA, Arup, Mornington Peninsula Shire, Northern Health, Memko, Sutton Tools and the Victorian state government. He has a track record of securing nationally competitive grants as a CI and named research fellow, notably contributing to grant successes such as C4NET and VHESIF. As part of these successful high-impact projects, he not only generated new knowledge but also led the development and delivered system prototypes for industry partners, underscoring his academic excellence, leadership, and practical proficiency in achieving real-world project goals.

General

Background

Dr. Saiedur Rahaman earned his PhD in Computer Science from the School of Computing Technologies at RMIT University, Australia, supported by an ARC linkage grant. Following this, he served as a level-B research fellow at the Data Science discipline within RMIT's School of Computing Technologies. His research primarily centered on developing technologies for sensing and connecting the physical world, and employing machine/deep learning techniques for analyzing multi-modal time-series data in pervasive environments. He has successfully supervised PhD students to completion and currently involved in research supervision in the field of Data Science and AI. As a recognized ICT educator, he taught data science and AI at RMIT and University of Adelaide before joining CQUniversity. Additionally, he held a lecturer (assistant professor) position at the School of Computer Science, AIUB, Bangladesh, before moving to Australia.

Universities Studied At

PhD in Computer Science, RMIT University, Australia
MSc in Computer Science, AIUB, Bangladesh
BSc in Computer Science & Engineering, AIUB, Bangladesh

Universities Worked At

RMIT University, Australia
University of Adelaide, Australia
AIUB, Bangladesh

Awards

AInet fellowship, DAAD Germany 2022-2023
Distinguished paper award, Proc. of the ACM IMWUT/ Ubicomp (A*), 2021
Recognition of outstanding student experience (ROSE) teaching award, RMIT University, Australia, 2019
Learning and Teaching Incentive grant, School of Science, RMIT University, 2019
Second runner-up, Smart Cities Tech Competition, City of Melbourne, 2020
Publication grant award, School of Science, RMIT University, Australia, 2018
Certificate of recognition for outstanding teaching score, RMIT University, Australia, 2017
Outstanding student award -Leadership and Communication, ATN-LEAP, QUT, 2015.
First place, National networking skills competition 2009, CISCO.
Second runner-up, Asia-Pacific Netriders 2009, CISCO.
Summa Cum Laude academic excellence award in graduate class, AIUB, 2009.
Summa Cum Laude academic excellence award in undergraduate class, AIUB, 2007

Media Citations

Previous teaching

Practical data science
Social media and network analytics
Case studies in data science
AI and data science professional
Human and ethical factors in computer science
Introduction to programming
Data mining and knowledge discovery
Algorithms and analysis
Theory of computation
Concrete mathematics
User-centred design
Professional computing practice

Professional Experience

Program Co-chair: IEEE PerAwareCity 2020, March 23–27, Austin, Texas, USA
TPC Member: KDD’22, BuildSys'22, IJCAI'19, CIKM'22, IEEE Percom’20-21 (industry track), WSDM’22, SmartComp’19-20 (industry track), DATA’19, AusDM'18-'20, TI@WSDM'19, IEEE PerAwareCity’19-20
Reviewer: Elsevier JNCA, Elsevier PMC, VLDB Journal, IEEE IoT Journal, IEEE Systems Journal, Springer Cognitive Computation, WSDM, IJCAI, AusDM, SMARTCOMP, IEEE PerCom, ACM IMWUT

Professional Memberships

Member, Australian Computer society (ACS)
Member, IEEE
Member, ACM

Industry Reports

M.S. Rahaman, F.D. Salim, M. Hamilton, A. Bouguettaya, X. Li, X. Yu, et.al, Integrated Smart Airport Services: An Industry White Paper, Arup, December 2018.