Dr. Shimul (Md. Mazharul) Haque is a Professor of Transportation Engineering at the Queensland University of Technology (QUT) in Australia. He is a specialist in econometrics and artificial intelligence applications in transport engineering and traffic safety. Dr. Haque has secured about $3 million research funding from the public and industry sectors on various road safety projects. Dr. Haque has published more than 110 peer-reviewed research articles in top-class journals and international conferences. His journal papers are published in journals like Analytic Methods in Accident Research, Accident Analysis & Prevention, Transportation Research Part B: Methodological, Transportation Research Part C: Emerging Technologies, Safety Science, and Transportation Research Record.
The publications of Dr Haque are well received by international researchers, as evidenced by the citation statistics. As per Scopus, his h-index is 27, and his journal papers in Scopus have been cited more than 2100 times by 1450 documents to date. Scopus also confirms his strong track record of publishing in high-quality journals within his research areas. For the publications indexed by Scopus from 2014-2018 inclusive, Dr. Haque’s Field-Weighted Citation Impact (FWCI) is 4.01, which suggests that his journal publications have been cited 3.01 times more time than the expected based on the world average of similar publications. Of these publications, about 55% are in the top 10% most cited worldwide , and about 85% of his publications are in journals in the top 10% journals. His publications, including conference papers, have been cited more than 3400 times as accumulated in his Google Scholar profile. As per Google Scholar, his h-index is 33 and i10-index is 61.
Projects (Chief investigator)
- A New Approach to Analysing Indigenous Road Safety without Records of Indigenous Australian Status in the Crash Data
- Artificial Intelligence-based video analytics to understand the interactions between Heavy Vehicles and Vulnerable Road Users
- Customer Journey Operational Responses to Demand Management in Regional and Outer Metropolitan Areas and Opportunities to Improve Transport Equity
- Development of Motorcycle Safety Audit Methodology using Instrumented Motorcycle
- Incorporating Road Safety Throughout the Network-Level Transport Planning Process
- Next-generation traffic signals using artificial intelligence-based video analytics for safe, efficient and green intersections
- Safety evaluation of slip lane configurations at signalised intersections using Artificial Intelligence-based video analytics
- Towards next generation motorway control: Weather responsive Variable Speed Limit (WiSe)
Projects
- Automated Video Analysis of Three Complex Brisbane Intersections
- Developing generalised crash prediction models
- Higher Degree Research Supervision
- Proactively detecting motor vehicle crash black spots based on their underlying behavioural, engineering and spatial causes
- Relationship among vehicle and road characteristics on heavy vehicle crashes