Anuj Sharma

Title(s):

Pitt-Des Moines, Inc. Professor in Civil Engineering
Director FAST-TrAC
Co-Director REACTOR Lab

Office

Primary
2711 S Loop Dr/Rm 4700
Ames, IA 50011

Secondary
404 Town Engr
813 Bissell Rd
Ames, IA 50011-1066

Information

Dr. Anuj Sharma is an associate professor in the Civil Construction and Environmental Engineering Department at Iowa State University. He also holds a joint appointment as a research scientist with the Institute of Transportation. In these positions, he teaches transportation engineering courses to undergraduate and graduate civil engineering students, conducts research in the transportation operations area and participates in numerous professional organizations. Dr. Sharma’s research has been recognized by many funding agencies. Dr. Sharma is currently leading research at the REACTOR (REaltime AnalytiCs of TranspORtation data) laboratory. The High Performance Cluster (HPC) assembled for the lab is able to ingest multiple streams of real-time data from multiple sources. The current efforts are focused on ingestion, real-time analytics, batch processing, visualization/front end development and archiving of data streams. Some of the tools developed under this effort can be found at the lab’s website. REACTOR-HPC and a memorandum of understanding with Iowa DOT has placed Iowa State University among one of the very few facilities in the US transportation arena using big data analytics in the field of transportation.

Honors and Awards

  • Social Analytics Strategic Network (SASNet) Fellow from Urban Big Data Centre (UBDC) and Business and Local Government Data Research Centre (BLGRC), 2016
  • Outstanding Reviewer from the Journal of Transportation Engineering (American Society of Civil Engineers, 2014.
  • Central States Conference ASLA 2014 Merit Award (Category-Research) for “Economic Framework for Feature Selection in Healing Garden: Evaluation at Women’s Hospital – Category IV,” HDR – Omaha, NE and UNL – Lincoln, NE, 2014
  • Great Plains Chapter ASLA 2013 Merit Award (Category-Research) for “Economic Framework for Feature Selection in Healing Garden: Evaluation at Women’s Hospital – Category IV,” HDR – Omaha, NE and UNL – Lincoln, NE, 2013
  • Pikarsky Award for Outstanding Ph.D. Dissertation in Science and Technology by Council of University Transportation Centers, 2008
  • Exceptional Paper Award for “Recasting Dilemma Zone Design as a Marginal Costs-Benefits Problem” Traffic Signal System Committee at TRB 86th Annual Meeting, 2007

News and Articles

Anuj Sharma: Direct impact through civil engineering

 

Education

  • Ph.D. Civil Engineering, Purdue University, 2008
  • M.S. Civil Engineering, Texas A&M University, 2004
  • B.E. Civil Engineering, Regional Engineering College in Rourkela, India, 2001

Interest Areas

  • Big data analytics in transportation
  • Data-driven decision making
  • Traffic signal systems
  • Safety and efficiency of traffic operations
  • Smart rural transportation

Publications

  1. Patrick Singleton, Mark Taylor, Christopher Day, Subhadipto Poddar+, Srisha Kothuri, and Anuj Sharma “Impact of COVID-19 on Traffic Signal Systems: A Survey of Agency Interventions and Observed Changes in Pedestrian Activity,” accepted for publication in Transportation Research Record. https://doi.org/10.1177/03611981211026303  (2021).
  2. Shefang Wang+, Anuj Sharma, Jeffrey Dawson, Matthew Rizzo, Jennifer Merickel, “Visual and Cognitive Decline Differentially Effect Speed Control in Older Drivers,” Journal of the American Geriatrics Society. (accepted for publication). http://dx.doi.org/10.1111/jgs.17008 (2021)
  3. Tongge Huang+, Anuj Sharma, “Technical and Economic Feasibility Assessment of a Cloud-Enabled Traffic Video Analysis Framework,” Journal of Big Data Analytics in Transportation, 2, 223–233, 2020. https://doi.org/10.1007/s42421-020-00027-8  (2020)
  4. Tingting Huang+, Shuo Wang+, Anuj Sharma, “Highway Crash Detection and Risk Estimation Using Deep Learning,” Accident Analysis and Prevention, Volume 135, https://doi.org/10.1016/j.aap.2019.105392   (2020).
  5. Saeed Arabi+, Arya Haghighat+, Anuj Sharma, “A deep learning-based solution for construction equipment detection: from development to deployment,” Computer Aided Civil and Infrastructure Engineering, Volume 35, Issue 7, pp 753-767, 2020. https://doi.org/10.1111/mice.12530 . (2020)
  6. Arya Ketabchi Haghighat+, Varsha Ravichandra-Mouli+, Pranamesh Chakraborty+, Yasaman Esfandiari, Saeed Arabi+, AnujSharma, “Applications of Deep Learning in Intelligent Transportation Systems,” Journal of Big Data Analytics in Transportation. Volume 2, Issue 2, 115-145. 2020 https://doi.org/10.1007/s42421-020-00020-1 (2020)
  7. Koray Ozcan*, Anuj Sharma, Steven Bradbury, Dana Schweitzer, Teresa Blader, Sue Blodgett, “Milkweed (Asclepias Syriaca) Plant Detection using Mobile Cameras,” Ecosphere, Volume 11, Issue 1. 2020  https://doi.org/10.1002/ecs2.2992  (2020).
  8. Pranamesh Chakraborty+, Jennifer Merickel, Viraj Shah, Anuj Sharma, Chinmay Hegde, Cyrus Desouza, Andjela Drincic, Pujitha Gunaratne, Matthew Rizzo, “Quantifying vehicle control from physiology in type 1 diabetes,” Traffic Injury Prevention, 2019; 20(sup2): S26-S31 https://doi.org/10.1080/15389588.2019.1665176 (2019)
  9. Pranamesh Chakraborty+, Anuj Sharma, Chinmay Hegde “Data-driven parallelizable traffic incident detection using spatio-temporally denoised robust thresholds.” Transportation Research Part C, Volume 105, Pages 81-99. https://doi.org/10.1016/j.trc.2019.05.034 (2019)
  10. Chenhui Liu+, Anuj Sharma, “Multivariate Random Parameters Zero-Inflated Negative Binomial Regression for Analyzing Urban Midblock Crashes,” Analytic Methods in Accident Research, Volume 17, 32-46, 2018. https://doi.org/10.1016/j.amar.2018.03.001  (2018)

Primary Strategic Research Area

Resilient Infrastructures

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