Research Group

Shahiq Ahmad Wani (2021- ) currently pursuing PhD with primary research interests in Travel Behaviour, the role of Information and Communication Technology (ICT) in Transportation, Travel Satisfaction, Travel Equity, Human Factors, and Safety. Specifically, he is working on understanding the linkages between Travel Satisfaction and Travel Behaviour. This research aims to provide insights into how satisfaction can influence travel patterns and behaviours, ultimately contributing to the development of more efficient and user-friendly transportation systems. 

Ishan Sharma (2025- ) currently pursuing his PhD (Part-Time) at IIT Jodhpur. He is a Deputy Engineer (Traffic & Transportation) at  LEA Associates South Asia Pvt. Ltd. (LEA Group, Canada)

Ishan’s research focuses on Accident Prediction and Prevention. His research aims to develop frameworks for road safety for different regions and optimize intervention strategies.

Mohammad Uzair (2025- ) currently pursuing his PhD at IIT Jodhpur. Uzair’s research focuses on Traffic flow modelling. 

Shashvat Tripathi is an MS (by research) student (2023-) in the School of Artificial Intelligence and Data Science at IIT Jodhpur. His research work, under the supervision of Dr Ranju Mohan, focuses on the development of a two-way interactive driving simulator, investigating the major characteristics of traffic flow with a fusion of Machine Learning algorithms to learn the driving behaviour parameters. The project aims to build a simulator that is advanced and robust enough to model the Indian driving conditions where vehicular traffic streams are considered unorderly and unsafe due to heterogeneity in vehicle types, wide variation in driving behaviours, and non-uniformity of roadway infrastructure. His research interest lies in interdisciplinary approaches to solving problems using engineering concepts across streams. 

ANUBHAV NARESH (2023-2025), I completed my Bachelor of Engineering in Civil Engineering in the year 2021 from Chandigarh College of Engineering and Technology, Chandigarh. Currently, pursuing my Master of Technology in Infrastructure Engineering with a specialization in Energy at the Department of Civil and Infrastructure Engineering at Indian Institute of Technology Jodhpur. My research interest lies in sustainable modes of transport, analysis of environmental behaviour, and urban mobility. My Master's Thesis topic is "Factors influencing EV adoption in Tier-2 cities| Policy implications: Moving towards Clean Energy". This research aims to provide insights into how environmental satisfaction can influence the mode of travel behaviour and how EV adoption and its policy implication lead to the user as well as environment-friendly transport systems.

PATHAN MUJAHID NAJEKHAN (2024-2026) completed his B.Tech in Civil Engineering from Dr. BATU, Raigad, Maharashtra, in 2022. He is pursuing an M.Tech in Infrastructure Engineering (Energy specialization) at IIT Jodhpur. His research interests focus on analyzing energy consumption in the road transport sector, identifying key driving factors, forecasting future demand, and exploring integrated solutions and policy measures for sustainable mobility solutions.

Jahnavi Saggurthi ( 2020 - 2022), is a postgraduate in Civil & Infrastructure Engineering from IIT Jodhpur with a research focus on traffic flow analysis and congestion management in Indian urban conditions. Her study evaluates the impact of the upcoming elevated road in Jodhpur from Krishi Mandi Circle to Akhaliya Circle on the existing traffic corridor using the Microsimulation modelling program PTV VISSIM. With a strong interest in addressing real-world traffic congestion, her research assesses changes in key parameters such as vehicle travel time, delay measurements, queue length, and Level of service (LOS) before and after the construction of the elevated road. Additionally, her study highlights the need for improvements in traffic assignment systems, advocating a shift from static to semi-dynamic assignment to enhance traffic flow efficiency. Her work provides valuable insights into optimizing urban traffic management and infrastructure planning.

Kandukuri Venkata Subrahmanya Srimukh Babu (2020-2020), Master of Technology in Infrastructure Engineering at the Department of Civil and Infrastructure Engineering at the Indian Institute of Technology Jodhpur. His research interests lie in sustainable transportation and urban planning. His research focused on analysing the travel behaviour and demand on the campus of IIT Jodhpur.

Vikas Meena (2021-2023), Master of Technology in Infrastructure Engineering at the Department of Civil and Infrastructure Engineering at the Indian Institute of Technology Jodhpur. His research interests lie in sustainable transportation and urban planning. His research focused on the analysing the complexity of trip chaining in the city of Kota, Rajasthan

I, Mahendra Kumar Rai (2022-2024), completed my Bachelor of Technology in Civil Engineering in the year 2022 from Rajkiya Engineering College, Azamgarh. Currently, I am pursuing my Master of Technology in Infrastructure Engineering with a specialization in Energy at the Department of Civil and Infrastructure Engineering at the Indian Institute of Technology Jodhpur. My research interests lie in sustainable transportation, traffic modelling and simulation and urban planning & design. My Master’s Thesis topic is “Environmental Impact of Traffic With and Without Lane Discipline in the Indian Context”. For this, I have developed a road network model of Kota City using Vissim software and simulated real-life traffic conditions. The results of the research will provide insight into how emissions from vehicles could decrease if lane discipline is followed in India. 

My name is Manoj Sundari (2022-2024), I have done my B. Tech in Civil engineering from Christu Jyothi Institute of Technology & Science, Currently I'm pursuing my M.Tech from IIT Jodhpur. My research topic is "MODELLING OF VEHICULAR EMISSIONS IN KOTA CITY". The research will focus on a Comprehensive model for estimating vehicular missions. Insights into factors influencing emissions. Validated model accuracy. Assessment of emissions' impact on air quality and health. Policy recommendations for emission reduction.

Shreyas Bhaskar Shetty (2022-2024), an M Tech Executive AI student, works on Exploring the effectiveness of the driving simulator in simulating real-world driving scenarios and its potential applications in  driver training, human factors research 

SATYAM SONI (2020-2024), I completed my Bachelor of Technology in Civil and Infrastructure Engineering from the Indian Institute of Technology Jodhpur in the year 2024. During my academic journey, I worked on several projects focused on sustainable urban development and transportation systems. My research and project work involved redesigning the urban infrastructure of Jodhpur to promote sustainability, exploring innovative solutions such as double discharge platforms to ease crowding at suburban railway stations like Guindy in India, and optimizing traffic systems in Jodhpur to improve mobility and reduce congestion. My interests lie in urban infrastructure development, sustainable transportation, and traffic optimization, aiming to create efficient and environmentally friendly cities.

Disha Khandelwal (2021-2025) is a B.Tech student in Civil and Infrastructure Engineering at the Indian Institute of Technology Jodhpur. Her research interest focuses on the integration of Machine learning with civil concepts along with using various Software and data analyses regarding urban mobility. Her research with Dr Ranju includes "Improvement of Jodhpur’s Public Transportation System Using VISSIM" This project includes how one can integrate state-of-the-art simulation with VISSIM, regulatory knowledge, and GenAI modelling into the process to produce a framework for urban intelligent traffic control.

Divyang Deepak Palshetkar is a Bachelor of Technology student (2021–2025) in Civil & Infrastructure Engineering at IIT Jodhpur. As part of his AICOE internship under the Ministry of Education, he worked on vehicle trajectory analysis for accident studies, leveraging TRAZER software to analyze 24-hour traffic data across multiple locations. His research focused on understanding pedestrian-vehicle interactions at urban intersections using surrogate safety measures such as Time to Collision (TTC), Gap Time (GT), and Post Encroachment Time (PET). By integrating Generative Causal AI-powered digital twin technology, his work contributed to enhancing road safety by identifying high-risk scenarios and proposing data-driven mitigation strategies. His research interests include AI-driven traffic analysis, urban mobility, and infrastructure safety optimization.