Machine Learning Algorithms for Traffic Interruption Detection. - Yashaswi Karnati; Dhruv Mahajan 002; Anand Rangarajan 001; Sanjay Ranka (FMEC, 2020)

A Scalable Data Analytics and Visualization System for City-wide Traffic Signal Data-sets. - Dhruv Mahajan 002; Yashaswi Karnati; Tania Banerjee; Varun Reddy Regalla; Rohith R. K. Reddy; Anand Rangarajan 001; Sanjay Ranka (ITSC, 2020)

Unsupervised Summarization and Change Detection in High-Resolution Signalized Intersection Datasets. - Dhruv Mahajan 002; Yashaswi Karnati; Anand Rangarajan 001; Sanjay Ranka (ITSC, 2020)

Data Mining Algorithms for Traffic Interruption Detection. - Yashaswi Karnati; Dhruv Mahajan 002; Anand Rangarajan 001; Sanjay Ranka (VEHITS, 2020)

A Data Driven Approach to Derive Traffic Intersection Geography using High Resolution Controller Logs. - Dhruv Mahajan 002; Tania Banerjee; Yashaswi Karnati; Anand Rangarajan 001; Sanjay Ranka (VEHITS, 2020)

ROAMM: A customizable and interactive smartwatch platform for patient-generated health data. - Yashaswi Karnati; Ruben D. Zapata; Matthew J. McConnell; Rohith R. K. Reddy; Varun Reddy Regalla; Aseem Thakkar; Jordan Alpert; Tonatiuh Mendoza; Parisa Rashidi; Mamoun T. Mardini; Michael Marsiske; Thomas M. Gill; et al. (IC3, 2021)

An Automated Framework for Deriving Intersection Coordination Plans. - Dhruv Mahajan 002; Yashaswi Karnati; Jeremy Dilmore; Anand Rangarajan 001; Sanjay Ranka (ITSC, 2021)

TQAM: Temporal Attention for Cycle-wise Queue Length Estimation using High-Resolution Loop Detector Data. - Rahul Sengupta; Yashaswi Karnati; Anand Rangarajan 001; Sanjay Ranka (ITSC, 2021)

Subcycle-based Neural Network Algorithms for Turning Movement Count Prediction. - Yashaswi Karnati; Rahul Sengupta; Anand Rangarajan 001; Sanjay Ranka (VEHITS, 2021)

Comparisons Between GPS-based and Self-reported Life-space Mobility in Older Adults. - Chen Bai; Ruben D. Zapata; Yashaswi Karnati; Emily Smail; Alexandra Hajduk; Thomas M. Gill; Sanjay Ranka; Todd M. Manini; Mamoun T. Mardini (AMIA, 2022)

A Modern Intersection Data Analytics System for Pedestrian and Vehicular Safety. - Tania Banerjee; Ke Chen; Alejandro Almaraz; Rahul Sengupta; Yashaswi Karnati; Bryce Grame; Emmanuel Posadas; Subhadipto Poddar; Robert Schenck 002; Jeremy Dilmore; Siva Srinivasan; Anand Rangarajan 001; et al. (ITSC, 2022)

Subcycle Waveform Modeling of Traffic Intersections Using Recurrent Attention Networks. - Yashaswi Karnati; Rahul Sengupta; Anand Rangarajan 001; Sanjay Ranka (IEEE Trans. Intell. Transp. Syst., 2022)

Towards Effective Traffic Signal Safety and Optimization Using Fisheye Video. - Rahul Sengupta; Tania Banerjee; Ke Chen; Yashaswi Karnati; Sanjay Ranka; Anand Rangarajan 001 (VEHITS, 2023)

Using DSRC Road-Side Unit Data to Derive Braking Behavior. - Rahul Sengupta; Tania Banerjee; Yashaswi Karnati; Sanjay Ranka; Anand Rangarajan 001 (VEHITS, 2023)

MTDT: A Multi-Task Deep Learning Digital Twin. - Nooshin Yousefzadeh; Rahul Sengupta; Yashaswi Karnati; Anand Rangarajan 001; Sanjay Ranka (ITSC, 2024)

Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning. - Ali Taghibakhshi; Sharath Turuvekere Sreenivas; Saurav Muralidharan; Marcin Chochowski; Yashaswi Karnati; Raviraj Joshi; Ameya Sunil Mahabaleshwarkar; Zijia Chen; Yoshi Suhara; Oluwatobi Olabiyi; Daniel Korzekwa; Mostofa Patwary; et al. (CoRR, 2025)

Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation. - Nooshin Yousefzadeh; Rahul Sengupta; Yashaswi Karnati; Anand Rangarajan 001; Sanjay Ranka (IEEE Trans. Intell. Transp. Syst., 2025)