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Dr. Abhisek Mudgal

Assistant Professor
Department of Civil Engineering, IIT(BHU)
Phone No(s): .
Email: abhisek.civ@iitbhu.ac.in
Area of Interest: Vehicular Emissions, Air Quality Monitoring, Accident Analysis, Transportation Sensors, Data Science in Civil Engineering Applications
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  • Ph.D. in Civil Engineering (Transportation Engineering, Minor in Statistics), Iowa State University, Ames, IA, USA Dec 2011
  • M.S. in Civil Engineering (Transportation Engineering), Iowa State University, Ames, IA, USA Jan 2009
  • B.Tech. in Civil Engineering, Indian Institute of Technology Delhi, New Delhi, India Aug 2007
  • Assistant Professor, Indian Institute of Technology (BHU), Varanasi, UP, India Feb 2018–Present
  • Assistant Research Scientist, Texas A&M Transportation Institute, El Paso, TX, USA Oct 2015–Jan 2018, 
  • Postdoctoral Associate, University of Minnesota, Twin Cities, MN, USA Oct 2012–Jul 2015
  • Postdoctoral Scholar, Wayne State University, Detroit, MI, USA Nov 2011– Aug 2012

Journal Articles (SCI and SCIE)

  1. Amar Deep Pandey, Brind Kumar, Manoranjan Parida, Abhisek Mudgal, Ashish Kumar Chouksey, and Rahul Mishra (2025). Vehicle Classification Using Accelerometer Signals and Machine Learning Techniques. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations. (Accepted).
  2. Saroj Kanta Behera, Ashutosh Kumar, Abhisek Mudgal (2024). Extreme Particulate Matter Exposure at Traffic Intersections in a Densely Populated City. Transportation Research Part D: Transport and Environment, 136, (2024) 104416.
  3. Kumar, A., & Mudgal, A. (2024). Defining Traffic Conflict in Nonlane-Based Traffic Conditions: An Extreme Value Approach. Journal of Transportation Engineering, Part A: Systems, 150(9), 04024050.

  4. Ashutosh Kumar & Abhisek Mudgal (2024) Risk assessment of rear-end crashes by incorporating vehicular heterogeneity into Bayesian hierarchical extreme value models, Transportmetrica B: Transport Dynamics, 12:1, DOI:10.1080/21680566.2024.232305

  5. Behera, S. K., Mudgal, A., & Singh, A. K. (2023). Spatiotemporal exposure of motorcyclists to particulate matter in a densely populated urban area: A case study of Varanasi, India. Atmospheric Pollution Research, 101808.

  6. Behera, S. K., & Mudgal, A. (2023). Assessment of particulate matter in a university campus during spring season. Current Science (00113891), 125(1).

  7. Kumar, A., & Mudgal, A. (2024). Effect of vehicle size on crash risk in a heterogeneous traffic scenario: a bivariate extreme value approach. Transportation letters, 16(2), 166-181.
  8. Mishra, S., Singh, V., Gupta, A., Bhattacharya, D., & Mudgal, A. (2023). Adaptive traffic signal control for developing countries using fused parameters derived from crowd-sourced data. Transportation Letters, 15(4), 296-307. DOI: 10.1080/19427867.2022.2050493
  9. Bijjargi, Y. S., Shinde, V. M., Mudgal, A., Kumar, H., & Prasad, N. E. (2022). CFD modeling and optimal design of SiC deposition on the fuel combustion nozzle in a commercial CVD reactor. Ceramics International, 48(8), 11043-11055.https://doi.org/10.1016/j.ceramint.2021.12.324.
  10. Gupta, A., Mudgal, A., Shinde, V. M., Kumar, H., & Prasad, N. E. (2021). Optimal Design of CH4 Pyrolysis in a Commercial CVD Reactor using Support Vector Machines and Nelder-Mead Algorithm. Chemical Engineering Research and Design.
  11. Sharma, S., Kang, D. H., de Oca, J. R. M., & Mudgal, A. (2021). Machine learning methods for commercial vehicle wait time prediction at a border crossing. Research in Transportation Economics, 89, 101034.
  12. Chandra, S., Naik, R. T., Venkatesh, M., & Mudgal, A. (2020). Accessibility Evaluations of the Proposed Road User Charge (RUC) Program in California. Transport Policy.
  13. Saboo, N., Mudgal, A., Singh, A. (2019) Frequency Sweep Test as a Tool to Predict Creep and Recovery Response of Asphalt Binders. Journal of Materials in Civil Engineering. 31(6)
  14. Saboo, N., Mudgal, A. (2018) Modelling Creep and Recovery Response of Asphalt Binders Using Generalized Burgers Model. Petroleum Science and Technology. 36(20), 1627-1634
  15. Das, S., Mudgal, A., Dutta, A., & Geedipally, S. R. (2018). Vehicle consumer complaint reports involving severe incidents: Mining large contingency tables. Transportation Research Record, 2672(32), 72-82.
  16. Aldrete, R.M., Kruse, C.J., Salgado, D., Vadali, S.R., Mudgal, A., Villa, J.C., Cornejo, L.E. and Bae. (2018). Leveraging the Value of Land and Landside Access to Fund Port Infrastructure in Texas. Transportation Research Record, 2672(11), 41-52.
  17. Mudgal, A., Hallmark, S., Carriquiry, A., Gkritza, K. Driving behavior at a roundabout: a hierarchical Bayesian regression analysis. Transportation Research Part D: Transport and Environment. 2014, 26, 2026.
  18. Gopalakrishnan, K., Mudgal, A., Hallmark, S. Neuro-Fuzzy approach to predictive modeling of emissions from biodiesel powered transit buses. 2011. Transport Journal Volume 26(4):344-352.
  19. Hallmark, S., Wang, B., Mudgal, A., Isebrands, H.L. (2011) On-road evaluation of emission impacts of roundabouts. 2011. Transportation Research Record 2265, 226-233.
  20. Hallmark, S., Sperry, B., Mudgal, A. (2011) In-use fuel economy of hybrid-electric school buses in Iowa. Journal of Air and Waste Management Association. 2011 May; 61(5); 504-510

 

Journal Articles (Scopus)

  1. Salgado, D., Martin, P. T., Mudgal, A., & Aldrete, R. M., Samant, S. & Rodriguez G. (2020) Transportation of Patients in Critical Condition Across an International Border, What is the Impact on Their Odds of Full Recovery and Survival? - Case Study at the U.S.-Mexico Border Region, Journal of Borderlands Studies, DOI: 10.1080/08865655.2020.1713855
  2. Salgado, D., Martin, P. T., Mudgal, A., & Aldrete, R. M. (2020). Calibration Methodology for Microscopic Traffic Simulation Models of Land Ports of Entry Along the US-Mexico Border. International Journal of Modeling, Simulation, and Scientific Computing. (2020) 2050019 1-20.
  3. Davis, G. and Mudgal, A. Bayesian Uncertainty Quantification for Planar Impact Crashes via Markov Chain Monte Carlo Simulation, SAE Technical Paper 2016-01-1481, 2016, doi:10.4271/2016-01-1481

Journal Articles (Other)

  1. Mudgal, A., Gopalakrishnan, K., Hallmark, S. Prediction of emissions from biodiesel fueled transit buses using artificial neural networks. International Journal of Traffic and Transportation Engineering, 2011; 1(2):115-131.

Peer Reviewed Conference Articles (Other)

  1. Das, S., Dutta, A., Mudgal, A., & Datta, S. (2020). Non-fear-based road safety campaign as a community service: Contexts from social media. In Innovations for Community Services: 20th International Conference, I4CS 2020, Bhubaneswar, India, January 12–14, 2020, Proceedings 20 (pp. 83-99). Springer International Publishing.
  2.  

 

  • Tax Increment Revenue Estimator: A software that simulates land use development and land use switching dynamics and quantifies economic development caused by transportation improvement.
  • TTI TRZ Tools: A set of ESRI ArcMap extensions that extracts relevant GIS data to perform Transportation Reinvestment Zone Assessment
  • Transmodeler Emissions Estimator: A Transmodeler (A traffic simulation software) Addin that estimates emissions produced by passenger cars and commercial trucks.
  • CMAQ Analysis Tool: An Microsoft Excel Dashboard for Congestion Mitigation and Air Quality Improvement (CMAQ)

Ph.D.

  1. Ashutosh Kumar: Road Safety Assessment in Heterogeneous and Non-Lane-Based Traffic Using Surrogate Safety Measures and Statistical Modeling. (2018 - 2024)
  2. Saroj Kanta Behera: On-Road Exposure To Particulate Matter in a Tier-2 City (2019 - 2024)

Ph.D. (As Co-Supervisor)

  1. Ayan Kumar Singha (Supervisor, Prof Gokhale, IITG): Air quality and Traffic Management. (2023 - )

 

M.Tech.

  1. Ankit Kumar Singh: (MTech, Civil Engineering). Two-Wheeler Rider’s Exposure To Particulate Matter Along The Most Commuted Corridors In Varanasi  (2020)
  2. Anand Mishra: (MTech, Civil Engineering). Economic Analysis For FasTag on Highway Toll Collection (2021)
  3. Anchal Shukla:  (Integrated Dual Degree, Civil Engineering). Use of Depth Sense Camera for Traffic Data Collection and Processing (2022)
  4. Divyanshu Upadhyay: (Integrated Dual Degree, Civil Engineering). The Effect of Heavy Vehicles on the Performance of FASTag Enabled Toll Plaza – A Microscopic Traffic Simulation Study (2022)
  • Professor-in-Charge: Transportation Engineering Laboratory (2022- Present)
  • Chair: Post Graduation Admission Committee (Civil Engineering, 2022-Present)
  • Professor-in-Charge: Department Time Table (2019 to 2022)
  • Member, Department Post Graduation Committee (2022-Present)
  • Indian Road Congress, Membership No. : 402358

2023

  • Road capacity and Traffic Study for Transporting Red Mud and Fly Ash/Bottom Ash and Its Admixture to Dalla Stone Quarry Pond (June-July 2023, for Hindalco)
  • Safety Audit of Black Spot Near Mirzapur Railway Station (March 2023, for UP State Bridge Corporation Ltd.)
  • Design of Pavement Quality Concrete

2022

  • Design of BC and  DMB (For NTPC Tanda Vidyut Nagar, Ambedkar Nagar)
  • Midwest Transportation Consortium Scholarship, Aug 2007 to Aug 2011
  • Graduate Student Travel Award, Iowa State University, May 2011
  • Best oral paper presentation award presented to PhD student Saroj Kanta Behera. "Effect of Traffic and Vehicular Attributes on on-road particulate exposure". International Conference on Pollution Control and Clean Environment (Dec 15-16, 2023)

 

  • I have two PhD positions available right now.
  • Interested candidates may send their CV to my official email ID (abhisek.civ@itbhu.ac.in)