- Professor Alexander Paz
- Professor and TMR Chair
Science and Engineering Faculty,
Civil & Environmental
- +61 7 3138 1157
- View location details (QUT staff and student access only)
- Identifiers and profiles
phD (Purdue University)
- Professional memberships
- Member, Board of Governors
IEEE Intelligent Transportation Systems Society. 01/2019 – Present
- Transportation Research Board University Representative
Queensland University of Technology. 12/2018 – Present
- International Committees
- Member (June 01, 2017 – present): Standing Committee (ADB20) on Effects of Information and Communication Technologies (ICT) on Travel Choices. Transportation Research Board, National Research Council of the National Academies, USA
- Member (February 1, 2016 – present): Young Members Council – Planning and Environment (AD000(1)). Transportation Research Board, National Research Council of the National Academies, USA
- Member (2009-2018): Transportation Network Modeling Committee (ADB30). Transportation Research Board, National Research Council of the National Academies, USA
- Special Session and Workshop Organizer
- Workshop on Dynamic Traffic Assignment. IEEE 2013 ITSC, The Hague, Netherlands
- Special Session Co-Chair on Intelligent Cooperative Driving, and Autonomous Connected Vehicles as part of the International Conference on Collaboration Technologies and Systems
May 19-23, 2014. Minneapolis, Minnesota, USA
June 01-05, 2015. Atlanta, Georgia, USA
June 06-10, 2016. Orlando, Florida, USA
- Special Sessions Co-chair. IEEE 2016 ITSC. Rio de Janeiro, Brazil
- Publicity Co-Chair, IEEE International Conference on Vehicular Electronics and Safety. 2017, Vienna, Austria
- Program Committee Member
- International Conference on Critical Information Infrastructures Security
October 10–12, 2016. Paris, France
October 09–13, 2017. Lucca, Italy
September 24-26, 2018. Kaunas, Lithuania
- 4th International Conference on Vehicle Technology and Intelligent Transport Systems, March 16 – 18, 2018. Madeira, Portugal
Associate Editor: IEEE Intelligent Transportation Systems Conference, October 27-30, 2019. Auckland, New Zealand
- Invited Editor: Sustainability
- Member, Board of Governors
Professor Alexander Paz is the Transport Main Roads Chair at the Queensland University of Technology. Before joining QUT, he was an Associate Professor of Civil Engineering and the director of the Transportation Research Center at the University of Nevada. He is a Professional Engineer License in the State of Nevada. Professor Paz has a strong background in transport engineering, transport planning, and traffic safety. He has significant experience developing methods, algorithms and software tools for the management of highway infrastructure, the analysis and evaluation of transport systems, and the deployment of Intelligent Transportation Systems. His work including data warehouses and software applications has been adopted by industry at an international scale. Two of his inventions are presently being used by industry; one presently patented, and the second is under review by the U.S. Patent and Trademark Office. His broad interests include the application of operations research, network modelling, statistics and econometric methods, informatics integrated into modelling, analysis, operations, safety and control of large-scale dynamic transport, and logistics systems.
His research has been sponsored by the National Science Foundation, the National Aeronautics and Space Administration (NASA), the Federal Highway Administration (FHWA), the California Department of Transportation, several local Metropolitan Planning Organizations in California, the Nevada Office of Traffic Safety, the Regional Transportation Commission of Southern Nevada, the City of Las Vegas, the Nevada Governor’s Office of Economic Development, the FACE Foundation, the Nevada Office of Traffic Safety, Verizon, Parsons, and the Nevada Department of Transportation (NDOT).
Published more than 100 scholarly publications, including a book, book chapters and journal and conference papers.
Received more than $12 million in research funding from the public and the corporate sector organisations for undertaking over 50 research projects.
Supervised more than 18 doctoral and research Masters students.
- Traffic Safety
- Congestion Management
- Infrastructure Management
- Intelligent Transportation Systems
- Travel Demand
His research entails field investigations, modelling, simulation, statistics, and optimization.
Development of tools for crash data collection. Advanced analytics for crash estimation, network screening, and diagnosis as well as countermeasure selection. Development of visualization and GIS systems. Development and field testing of emerging traffic safety devices.
Development of large-scale dynamic traffic flow models for the study and evaluation of strategies to manage vehicular congestion. Development and implementation of optimization frameworks for the calibration and validation of network models.
Development of software systems for the management and visualization of roadway infrastructure. Advanced analytics for generation of deterioration and network screening models and systems.
Intelligent Transportation Systems
Generation of framework for the deployment of real-time traveler information. Evaluation of Intelligent Transportation Systems (ITS) technologies using network and traffic flow models. Field testing of emerging ITS products.
Study of travel demand and behavior using statistics and econometric methods. Development of optimization frameworks for model estimation and validation.
- Professor and Transport Main Roads Chair, 2018-Present, Queensland University of Technology, Brisbane, Australia
- Associate Professor, 2014-2018, University of Nevada, Las Vegas, Nevada, USA
- Director, 2013-2018, Transportation Research Center, University of Nevada, Las Vegas, USA
- Assistant Professor, 2008-2014, University of Nevada, Las Vegas, Nevada, USA
- Senior Professional, 2007-2008, Cambridge Systematics, Oakland, California, USA
Before becoming a university professor at the University of Nevada, Las Vegas (UNLV), I worked for one year as Senior Professional for a major consulting firm, Cambridge Systematics. I worked on multiple projects for clients, including Federal Highway Administration, California Department of Transportation (CalTrans), and local Metropolitan Planning Organizations. Results from my work where used at the operational level to select strategies to deploy intelligent transportation systems throughout the San Francisco metropolitan area. During that time, the work that we did was innovative in terms of using and expanding capabilities provided by Dynamic Traffic Assignment to evaluate multiple intelligent transportation system technologies for a real-work traffic system. The evaluation was performed with the final objective of making decisions that would result in integration of multiple traffic systems and modes of transportation.
Business Intelligence and Advanced Analytics
My major industry experience is a large Business Intelligence project that involved data warehousing, software development, advanced analytics, dashboard implementation, and training to the sponsor/client. I was the principal investigator (PI) for this $US 2.8 million project, and my share was 80%. As the manager and PI for this project, I was responsible for hiring professionals and graduate students, had regular communication with the Front Office of NDOT, provided leadership and guidance to my team, provided high-level recommendations to the project manager at NDOT, and pursued innovation and commercialization of the corresponding technology. Key innovations from this project are listed below, with non-provisional applications for patents filed for the first two innovations:
- A workflow and software system that integrates ESRI ArcMap and Oracle Business Intelligence Enterprise Edition for reporting analytics on interactive maps. Deployed in 2014 and in use since then by the Nevada Department of Transportation.
- A workflow and software system that uses data from the National Bridge Inventory to generate and report color-coded three-dimensional renderings of key bridge elements. Deployed in 2014 and in use since then by the Nevada Department of Transportation.
- A workflow and software system that uses data from the Highway Performance Monitoring System (HPMS) to generate capacity analyses using the Highway Capacity Manual Methodology. The software reports capacities by means of interactive maps, tables, and drilldowns. Deployed in 2016 and in use since then by the Nevada Department of Transportation.
In addition to these key software systems, we designed and deployed a data warehouse, developed and implemented regression models for financial and traffic systems, and developed and implemented hundreds of interactive dashboards. NDOT currently uses these developments and implementations to provide service and save time to hundreds of people throughout the agency.
My second largest project for NDOT involved the design, development, implementation, and testing of a Utility Data Management Software System. This included a geo-spatial database, a web portal for data visualization and management, many feature code libraries for multiple vendors of data collection equipment, and a website for data loading and interaction with external contractors who collect field data. This system was developed and implemented in the first phase of the project with a cost of $US 610,000, and my share was 80%. I was the PI of the project, and responsible for management and major decision making as well as communication with the project champion at NDOT. We currently are working on the second phase of the project, which involves moving the system into production using the servers of the Transportation Research Center at UNLV. This means that for the first time, we are going to be proving cloud service to a state government agency. The cost of this second phase is $ US 130,000, and I am the only faculty working on this project.
My most exciting project that is currently underway involves the design, prototyping, and field test of a couple of traffic safety devices, which I cannot describe in detail because of the intellectual property restrictions by UNLV. A local startup, Rebel Roadway Systems LLC, licensed the technology from the university, and currently is working on commercializing it. UNLV is completing field testing at a local campus roadway facility. In parallel, we are working on optimizing and improving our design as well as adding capabilities for data collection; we also are about to secure resources for major field testing in Las Vegas.
For publications by this staff member, visit QUT ePrints, the University's research repository.