Dr Tanin's research interests include Spatial Databases
and Mobile Data Management. Many of his current projects are related to future
traffic management technologies enabled by connected and autonomous vehicles. He
works on novel algorithms and data structures on graphs and other representations
to solve emerging computational problems from new traffic systems. Examples can
be found in ride-sharing systems, crowd-sourced goods delivery, intelligent road
intersection management with machine learning, etc.
Short Bio: Prof Tanin has finished his PhD at the University of Maryland
at College Park before joining the University of Melbourne. He is an
Associate Editor of ACM TSAS and served as
a PC Chair for ACM SIGSPATIAL 2011
and 2012. He was elected to serve as the Treasurer for ACM SIGSPATIAL and served in
this role till 2017.
Dr Tanin was also elected to be the Secretary
of the SIG, 2017-2020. He was recently elected to be the next Vice-Chair.
Dr Tanin is also the co-founder of ACM SIGSPATIAL Australia as well as
the founding editor for ACM SIGSPATIAL Special. He has supervised 16 postgraduate students
to completion and has more than 150 papers in related areas published in top venues such
as the VLDB Journal, SIGSPATIAL, etc. He is currently co-supervising 10 PhD students
at the School of Computing and Information Systems.
He has won more than $3.2M in grants, with many ARC
Discovery and Linkage Grants in the last decade. For more information, please
refer to his following online CV.
New Software for Traffic Simulations: I have been involved with a lot of projects in Computational Transportation Science.
This led to the development of a great research tool imho.
Scalable Microscopic Adaptive Road Traffic Simulator (SMARTS) is a traffic
simulation tool that is easy to use and scalable. Built with a distributed
architecture and various traffic models, SMARTS is capable of flexible
microscopic traffic simulations at any scale. The simulator has a great
cross-platform compatibility as it is developed in Java. Simulations are
based on road networks extracted from freely-available OpenStreetMap data,
which can be imported from external files or downloaded within the simulator.
SMARTS can generate route plans and time-stamped vehicle trajectories.
It provides a graphical user interface for configuring and monitoring
simulations. Scripted simulations are also supported. More information
about the simulator can be found on the project website,
here is the link
Note for PhD applicants: I am always looking for good PhD students. If you
are interested in our PhD program, please feel free to send me an email.