Predictive analytics for smart cities

Recent works:
[Upcoming!] Novel generative adversarial approach for traffic data imputation
• Post-disaster online prediction of traffic conditions, demonstrated for the Woolsey Wildfire in California
• Data-driven traffic flow predictions for networks with faulty sensors

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Machine learning-based optimization and control

Recent works:
• Computational control of power systems with uncertain distributed energy sources
• Deep learning for reliability analysis of bridge networks under probabilistic seismic events

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Physics-based deep learning

Recent works:
• Deep learning solution for random differential equations
• Physics-driven regularization of deep neural networks

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Connected and autonomous vehicles

Recent works:
[Upcoming!] Multifidelity traffic estimation using data from multiple sources
• Efficient data collection algorithm for connective vehicles with precision guarantees

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Available Research Assistant Position

Our group has an opening for a graduate research assistant to do research in a research project at the intersection of deep learning and uncertainty quantification. The application focus is on modeling and optimization of multi-physics systems and smart infrastructure systems. Higher consideration is given to those who have background in deep learning, numerical methods, and probability and statistics and have excellent programming skills. Interested students should send an email to meidani (at) illinois (dot) edu and attach their CV including their graduate coursework.

Recent News

  • [Jun 2020] Negin has accepted a Tenure-track Assistant Professor position in the Department of Engineering Systems and Environment at the University of Virginia.
  • [May 2020] Dr. Meidani has received a research grant to investigate optimal pooled testing strategies for COVID-19 community screening.
  • [Apr 2020] Negin's first author paper on fast surrogate-based voltage control for distribution energy systems have been published on IEEE Access.
  • [Feb 2020] Our team won the First Prize in the Data Challenge on Urban Travel Time, Speed, and Reliability at the 2020 TRB Annual Meeting. Congratulations to our graduate students Xiyue and Mohammad!
  • [May 2019] Mohammad Amin Nabian has been awarded the Dissertation Completion Fellowship from the Graduate College. Congratulations to Mohammad on this prestigious recognition.
  • [Apr 2019] Mohammad Amin Nabian has been selected by UIUC College of Engineering as one of the Mavis Future Faculty Fellows (MF3) for the 2019-2020 academic year. More on the fellowship program can be found here. Congrats to Mohammad!
  • [Mar 2019] Negin Alemazkoor has been selected as one of the Rising Stars in Computational and Data Sciences and will attend an event sponsored by the University of Texas at Austin and Sandia National Labs in April 2019. Congratulations to Negin!
  • [Nov 2018] Our group’s entry to the 2018 INFORMS Rail Problem Competition won the 2nd Place Prize. Congratulations to Mohammad and Negin. Full story.
  • [Aug 2018] Our journal paper on preconditioning for improved compressive sampling of polynomial surrogates is accepted for publication in Computational Methods in Applied Mechanics and Engineering. Congratulations to Negin.
  • [Jul 2018] Our conference paper on recursive data-driven prediction of traffic flow with faulty sensors is accepted for presentation at the 2018 IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2018). Congratulations to Negin and Shiyu.
  • [Jul 2018] Our 2018 INFORMS Annual Meeting submission on efficient collection of connected vehicle data with precision guarantees is accepted. Congratulations to Negin.
  • [Feb 2018] Dr. Meidani receives NSF CAREER Award to study fast and accurate software tools for interdependent infrastructure systems. Full story.