Big Data Security and Privacy Issues in Healthcare. - Harsh Kupwade Patil; Ravi Seshadri (BigData Congress, 2014)

DynaMIT2.0: Architecture Design and Preliminary Results on Real-Time Data Fusion for Traffic Prediction and Crisis Management. - Yang Lu; Ravi Seshadri; Francisco C. Pereira; Aidan O'Sullivan; Constantinos Antoniou 001; Moshe E. Ben-Akiva (ITSC, 2015)

Robust traffic assignment model: Formulation, solution algorithms and empirical application. - Ravi Seshadri; Karthik K. Srinivasan (J. Intell. Transp. Syst., 2017)

Towards Dynamic Bayesian Networks: State Augmentation for Online Calibration of DTA Systems. - Haizheng Zhang; Ravi Seshadri; A. Arun Prakash; Constantinos Antoniou 001; Francisco Câmara Pereira; Moshe E. Ben-Akiva (ITSC, 2018)

Simulating Multi-scaled Impacts of Automated Mobility-on-Demand Services. - Diem-Trinh Le; Pericles Christopher Zegras; Meng Zhou; Joseph Fereirra; Duy Quy Nguyen-Phuoc; Moshe E. Ben-Akiva; Simon Oh; Ravi Seshadri (ITSC, 2019)

Real-Time Predictive Control Strategy Optimization. - Samarth Gupta; Ravi Seshadri; Bilge Atasoy; A. Arun Prakash; Francisco C. Pereira; Gary Tan; Moshe E. Ben-Akiva (CoRR, 2019)

Evaluating Automated Demand Responsive Transit Using Microsimulation. - Simon Oh; Ravi Seshadri; Diem-Trinh Le; Pericles Christopher Zegras; Moshe E. Ben-Akiva (IEEE Access, 2020)

Managing network congestion with tradable credit scheme: a trip-based MFD approach. - Renming Liu; Siyu Chen; Yu Jiang 002; Ravi Seshadri; Moshe E. Ben-Akiva; Carlos Lima Azevedo (CoRR, 2020)

A simulation-based evaluation of a Cargo-Hitching service for E-commerce using mobility-on-demand vehicles. - Andre Romano Alho; Takanori Sakai; Simon Oh; Cheng Cheng; Ravi Seshadri; Wen Han Chong; Yusuke Hara; Julia Caravias; Lynette Cheah; Moshe E. Ben-Akiva (CoRR, 2020)

Network Impacts of Automated Mobility-on-Demand: A Macroscopic Fundamental Diagram Perspective. - Simon Oh; Antonis F. Lentzakis; Ravi Seshadri; Moshe E. Ben-Akiva (CoRR, 2020)

Spatiotemporal Characteristics of Ride-sourcing Operation in Urban Area. - Simon Oh; Dániel Kondor; Ravi Seshadri; Meng Zhou; Diem-Trinh Le; Moshe E. Ben-Akiva (CoRR, 2020)

Affinity Matrix Learning through Subspace Clustering for Tolling Zone Definition. - Antonis F. Lentzakis; Ravi Seshadri; Moshe E. Ben-Akiva (MT-ITS, 2021)

Improving the Accuracy and Efficiency of Online Calibration for Simulation-based Dynamic Traffic Assignment. - Haizheng Zhang; Ravi Seshadri; A. Arun Prakash; Constantinos Antoniou 001; Francisco C. Pereira; Moshe E. Ben-Akiva (CoRR, 2021)

Impacts of Automated Mobility-on-Demand on traffic dynamics, energy and emissions: A case study of Singapore. - Simon Oh; Antonis F. Lentzakis; Ravi Seshadri; Moshe E. Ben-Akiva (Simul. Model. Pract. Theory, 2021)

A Multi-day Needs-based Modeling Approach for Activity and Travel Demand Analysis. - Kexin Chen; Jinping Guan; Ravi Seshadri; Varun Pattabhiraman; Youssef Medhat Aboutaleb; Ali Shamshiripour; Chen Liang; Xiaochun Zhang; Moshe E. Ben-Akiva (CoRR, 2023)

Assessing the impacts of tradable credit schemes through agent-based simulation. - Renming Liu; Dimitrios Argyros; Yu Jiang 002; Moshe E. Ben-Akiva; Ravi Seshadri; Carlos Lima Azevedo (CoRR, 2025)

Deep Reinforcement Learning for Day-to-day Dynamic Tolling in Tradable Credit Schemes. - Xiaoyi Wu; Ravi Seshadri; Filipe Rodrigues 001; Carlos Lima Azevedo (CoRR, 2025)