Kapil Meena

Kapil Meena

PhD Candidate, IIT Kharagpur MTech, IIT Roorkee

Pioneering sustainable urban mobility through data-driven insights on travel behavior, air quality exposure, and green routing. Seeking to apply this research in a challenging postdoctoral role.

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About Me

Driving sustainable mobility with 7+ years of data-driven research

I am a transportation researcher with 7+ years of experience in sustainable mobility, travel behavior analysis, and learning-based decision-making for complex urban systems. My goal is to develop data-driven AI solutions for improved engineering and social outcomes, creating healthier and more sustainable cities. To this end, my work has resulted in 15+ publications in top-tier venues, accumulating over 121 citations.

In my current role as a final-year PhD Researcher at IIT Kharagpur, I develop novel approaches using Machine Learning and discrete choice models to understand and influence travel decisions. This research has produced tangible tools, like the DRUM web app, which empowers commuters to make pollution-aware routing choices.

My foundational research during my MTech at IIT Roorkee focused on developing fundamental insights into commuter air quality exposure and effective algorithms for road safety. I am now actively seeking a postdoctoral opportunity to apply my expertise in data science and behavioral modeling to solve challenging problems in autonomous systems, human-AI interaction in transport, or large-scale mobility networks.

Key Expertise:

Travel Behavior Modeling Machine Learning Air Quality Exposure Big Data Analysis Sustainable Mobility

PhD (2022–Present)

IIT Kharagpur • Travel Behaviour & Air Quality

MTech (2019–2021)

IIT Roorkee • Transportation Engineering

BTech (2015–2019)

RTU Kota • Civil Engineering (Honors)

Research Consultant (2021)

WRI India • Sustainable Urban Mobility

Kapil Meena in professional setting
Seeking Postdoc

Research Focus

Decoding complex mobility choices for greener, healthier cities

Air Quality Exposure

Modeling the invisible: Quantifying how air quality impacts your travel decisions.

View Studies

Sustainable Routing

From data to decision: The DRUM app for real-time, pollution-aware route planning.

Demo App

Travel Behavior Modeling

Decoding decisions: Using discrete choice models to promote cycling and optimize urban development.

See the Survey

Big Data Analysis

Handling large-scale spatial and temporal datasets to uncover hidden mobility patterns and trends.

View Tools

Machine Learning

Applying ML for predictive modeling, from landslide prediction to identifying travel behavior drivers.

See Projects

Active Mobility

Analyzing and promoting walking and cycling through health impact assessment and choice modeling.

See Papers

Research Journey

2026 (Future Work): Advanced Behavioral Models

Work accepted at TRB 2026 (and publication at TRR also), using hybrid latent class models to prove "not all travellers think alike" in pollution avoidance.

2025 (Tool Development): The DRUM App

Developed and presented the DRUM web app for dynamic green routing at TRB. This work was featured in *The Hindu* and published in *TRR*.

2024 (Synthesizing Behavior & Policy)

Published major reviews and analyses in **Transport Policy* and *Urban Climate*, connecting air quality awareness to travel behavior and the impacts of Transit-Oriented Development (TOD).

2023 (Model Deep-Dive):

Presented a systematic review on air pollution & travel behavior at WCTR, Montreal. Published key work in *Journal of Transport Geography* prioritizing TOD corridors using MCDM.

2022 (PhD Begins): Behavioral Focus

Began PhD at IIT Kharagpur, shifting focus to behavioral modeling. Explored commuter perceptions of air quality in Delhi, presented at TRB.

2019-2021 (MTech Focus): Exposure & Safety

Started at IIT Roorkee, analyzing commuter exposure in different modes (*Urban Climate*) and developing methodologies for road safety blackspot identification (*TRP-D*).

Publications

Verified entries from TRR, Transport Policy, DAJ, JTH, Urban Climate, COMSNETS, TRB, and more. Search, filter, group by year, and open a modal for BibTeX, links, and tags.

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Projects & Repositories

From theory to reality: Projects driving real-world impact

DRUM Web App

Dynamic route planning integrating air pollution and energy efficiency for urban commuters.

Code View App

TUTEM (ADB-Funded)

Technologies for urban transit enhancement and safe accessibility at IIT Kharagpur.

2024-2025 Details

Air Quality Dashboard

Interactive Streamlit application that visualizes and analyzes air quality data (AQI) across major Indian cities..

MaaS Demand Study

Forecasting demand for Mobility as a Service in Indian contexts.

2022 Report

Bicycle Choice Modeling

Health impacts of first/last-mile cycling to rail stations.

School Commute Exposure

Multi-mode air pollution assessment for children in urban environments.

EASTS Accepted Abstract

Key Repositories

DRUM-Web-App

4

Source code for the Dynamic Route Planning for Urban Mobility (DRUM) web application, featured in The Hindu.

View on GitHub

Next day PM 2.5 Prediction

3

Predicting next-day fine particulate matter (PM₂.₅) concentrations using Machine Learning techniques.

View on GitHub

Dynamic Travel Survey with Real-Time analysis

7

A Dynamic Custom Travel Survey.

View on GitHub

A modern UI routing mobile application

0

This repository contains the code for light weight mobile application for different route options.

View on GitHub

City Mode Share Dashboard

2

A modern, interactive dashboard for visualizing and predicting cycling and motorcycle mode share across global cities using computer vision and machine learning approaches.

View on GitHub

Experience

From research labs to industry impact

World Resources Institute, India

Research Consultant | Nov 2021 – Mar 2022

Analyzed inhaled dose and exposure for commuters inside vehicles vs. ambient conditions. Advised by Aparna Vijaykumar.

Teaching Assistantships

IIT Kharagpur & IIT Roorkee | 2019–2023

  • CE13001: Engineering Drawing, IIT Kharagpur (2023)
  • NPTEL: Multimodal Urban Transport (2022)
  • CEN 662: Intersection Design, IIT Roorkee (2020)
  • CEN 562: Pavement Analysis, IIT Roorkee (2019)

Expert Lectures & Workshops

Knowledge Sharing | 2019–2025

  • DRUM Talk, Google India (June 2025)
  • Data Visualization with Tableau, Swastik Edustart (2022)
  • Transportation Data Analysis, NIT Calicut (2022)
  • Quality Control in Roads, IIT Roorkee (2020)
  • Concrete Mix Design, Wonder Cement (2019)

Awards & Achievements

Recognitions for excellence in research and leadership

Best Presentation

Research Scholar Day, IITKGP

Best Poster

CyPhySS 2023

Travel Grant

Univ. of Leeds Exchange

GATE Rank 559

Civil Engineering, 2019

MHRD Fellowship

PhD Research Support

The Hindu Feature

DRUM App Coverage, 2025

Honors Degree

BTech Civil Engineering

Science Congress Winner

Regional Level, DST 2014

Skills & Expertise

Technical toolkit for transportation innovation

Programming

Python R JavaScript ReactJS

Data Analysis

Tableau NLOGIT SPSS QGIS MiniTab

Tools & Databases

MySQL MongoDB LaTeX JabRef

Peer Reviewer

Transp. Res. Part A
Transp. Res. Part D
Transport Policy
RTBM
TRR (SAGE)
Transp. Dev. Econ.

Professional Memberships

ASCE T&DI
TRG India
WCTR Society
IATBR

Leadership & Community

Organizing for sustainable infrastructure futures

Positions of Responsibility

  • Technical Session Chair, EASTS 2025 Conference
  • Overall Coordinator, 2nd IBSR Conference 2024, IITKGP
  • Overall Coordinator, IBSR Conference 2023, IITKGP
  • Dept. Social Media Head, IITKGP (2022-23)
  • Placement Rep., IIT Roorkee (2020-21)

Conferences Organized

  • Coordinator, IBSR 2023: Sustainable Societies, IITKGP
  • Coordinator, 2nd IBSR 2024: Resilient Infrastructure, Kolkata

Get In Touch

I'm actively seeking postdoctoral collaborations. Let's discuss opportunities via my institutional or personal email, or connect through LinkedIn.

Email (Institutional)

kapil[DOT]meena[AT]kgpian[DOT]iitkgp[DOT]ac[DOT]in

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Email (Personal)

kapilm[DOT]48[AT]gmail[DOT]com

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LinkedIn

kapilmeena

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