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Ashutosh

Ashutosh

PhD Candidate
Master of Science (Research), IIT Delhi, 2024 | Bachelor of Technology, NIT Hamirpur, 2021
Engineering
rCiti

Ashutosh, an international student from India, is pursuing a PhD at the School of Civil & Environmental Engineering. He completed his Master of Science (Research) degree from the Indian Institute of Technology Delhi in 2024 and a Bachelor of Technology degree from the National Institute of Technology, Hamirpur in 2021. 

His research interests during the master's degree were in transportation safety, specifically the use of machine learning methods, such as Natural Language Processing, to innovate fatal crash data sources & information extraction methods. 

With a passion for research, he contributed to various projects in the field, ranging from survey-based data collection, travel time reliability examination in Indian cities, Life Cycle Assessment of transportation fuels used in major Indian passenger and freight corridors, traffic signal optimisation using pressure inputs, multi-modal transportation network planning etc.
Email

a.ashutosh@unsw.edu.au

Location

Desk 11, LG09, H20 Civil & Environmental Engineering

Research topic title

Modelling evacuation complexities in response to natural disasters in urban environments: Evaluating the efficacy of conventional, autonomous, and electric vehicles in natural disaster evacuation planning using simulation techniques

Research topic summary

The research objectives in this topic are to model the complexities of urban evacuations during natural disasters and to evaluate modes' efficacy through advanced simulation techniques. The research would leverage quantum computing methods to tackle the challenges of evacuation planning, e.g., resource allocation under time-critical conditions. Ultimately, this research aims to evaluate evacuation strategies that reduce risks and optimise the movement of diverse vehicle types in dense urban environments.

Research interests

  • Transportation Safety
  • Natural & man-made Disaster Evacuation Planning
  • Quantum Computing in Transportation Science