600 Foster Street
Evanston, Illinois 60208
I am a
PhD Candidate at the
Northwestern University's Transportation Systems Analysis and Planning Program in the Department of Civil and Environmental Engineering. I am currently working at the
Transportation Center as a graduate research assistant under the supervision of
Prof. Hani Mahmassani. I am interested and have strong skills in analyzing data, building machine learning and econometric models and using these to understand and solve transportation problems.
Statistical, econometric and machine learning methods for transportation data analysis: discrete choice and ordered response models, integrated choice and latent variable models, count data models, heterogeneity and hierarchical models, structural equation modeling, latent class and latent transition analysis, machine learning based classifiers (SVM, neural networks, decision trees) and ensemble learning.
Social networks and travel: Egocentric network data collection and synthetic social network generation, social capital measurement, dimensions and impact on activity participation.
Route choice modeling: choice set generation algorithms, truck route choice, use of large scale passive data sources
Crash data analysis: frequency and severity modeling and prediction, zero-inflated and limited dependent variable models, unobserved heterogeneity and hierarchical models, spatial transfer-ability and temporal instability.
ICT and travel: role of perceptions, attitudes, experiences, constraints and satisfaction on tele-activities adoption and future retention, virtual/physical activity interaction, tele-activity and well-being.
|Jan 13, 2022||
|Dec 10, 2021||Paper of understanding telework satisfaction during the COVID-19 pandemic is published. [doi]|
|Dec 7, 2021||
I was featured in
|Sep 4, 2021||
I was awarded the Northwestern University Transportation Center’s
|Sep 3, 2021||Paper on characterizing visitor behavior using sequence alignment clustering is published. [doi]|
|Aug 24, 2021||Paper on simulating large-scale events using a network of heterogeneous queues is published. [doi]|
|May 2, 2021||
I was awarded the 2021
For whom did telework not work during the Pandemic? understanding the factors impacting telework satisfaction in the US using a multiple indicator multiple cause (MIMIC) modelTransportation Research Part A: Policy and Practice 2022
Characterizing visitor engagement behavior at large-scale events: Activity sequence clustering and ranking using GPS tracking dataTourism Management 2022
Simulating Large-Scale Events as a Network of Heterogeneous Queues: Framework and ApplicationTransportation Research Record 2021