Anand Rangarajan

About

Anand Rangarajan, Ph.D., is a faculty member in the Department of Computer & Information Science & Engineering. His research interests include Machine Learning, Computer Vision, and Medical Image Analysis. He is affiliated with the fields of AI/Machine Learning, Computer Vision, and Medical Image Computing. Dr. Rangarajan earned his Ph.D. from the University of Southern California in 1991. He is involved in research related to computer vision and medical image computing, contributing to advancements in these areas through his academic work.

Research topics

• Artificial Intelligence
• Computer Science
• Machine Learning
• Computer vision
• Data Mining
• Mathematics
• Geography
• Computer network
• Real-time computing
• Automotive engineering

Selected publications

• Intelligent Intersection

  ACM Transactions on Spatial Algorithms and Systems · 2020 · 93 citations

  Camera-based systems are increasingly used for collecting information on intersections and arterials. Unlike loop controllers that can generally be only used for detection and movement of vehicles, cameras can provide rich information about the traffic behavior. Vision-based frameworks for multiple-object detection, object tracking, and near-miss detection have been developed to derive this information. However, much of this work currently addresses processing videos offline. In this article, we…

  DOI

• Truck and Trailer Classification With Deep Learning Based Geometric Features

  IEEE Transactions on Intelligent Transportation Systems · 2020 · 22 citations

  In this paper, we present a novel and effective approach to truck and trailer classification, which integrates deep learning models and conventional image processing and computer vision techniques. The developed method groups trucks into subcategories by carefully examining the truck classes and identifying key geometric features for discriminating truck and trailer types. We also present three discriminating features that involve shape, texture, and semantic information to identify trailer type…

  DOI

• Learning Scene Dynamics from Point Cloud Sequences

  International Journal of Computer Vision · 2022 · 21 citations

  Senior authorCorresponding
  DOI

• Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation

  IEEE Transactions on Intelligent Transportation Systems · 2025-03-10 · 5 citations

  article

  Traffic congestion poses significant economic, environmental, and social challenges. High-resolution loop detector data and signal state records from Automated Traffic Signal Performance Measures (ATSPM) offer new opportunities for traffic signal optimization at intersections. However, additional factors such as geometry, traffic volumes, Turning-Movement Counts (TMCs), and human driving behaviors complicate this task. Existing simulators (e.g., SUMO, Vissim) are computationally intensive, while…

  PublisherDOI

• Stability-preserving Lossy Compression for Large-scale Partial Differential Equations

  2025-11-12 · 4 citations

  articleOpen access

  Checkpoint/Restart (C/R) strategies are vital for fault tolerance in PDE-based scientific simulations, yet traditional checkpointing incurs significant I/O overhead. Lossy compression offers a scalable solution by reducing checkpoint data size, but conventional methods often lack control over physical invariants (e.g., energy), leading to instability such as oscillations or divergence in Partial Differential Equations (PDE) systems. This paper introduces a stability-preserving compression approa…

  PublisherDOI

Recent grants

• RI: EAGER: Complex Wave Formulations for Shape Analysis

  NSF · $117k · 2011–2013

• EAGER: Parallel Semi-supervised Machine Learning for Volumetric Datasets

  NSF · $100k · 2017–2019

• G&V: Medium: Collaborative Research: Large Data Visualization Using An Interactive Machine Learning Framework

  NSF · $303k · 2011–2015

Frequent coauthors

• Sanjay Ranka

  University of Florida

  140 shared

• Tania Banerjee

  82 shared

• Gene Gindi

  Stony Brook Medicine

  34 shared

• Yashaswi Karnati

  32 shared

• Rahul Sengupta

  University of Florida

  29 shared

• Pan He

  Auburn University

  29 shared

• Xiaohui Huang

  Southwest Jiaotong University

  28 shared

• Keke Zhai

  First Affiliated Hospital of Henan University

  28 shared

Education

• Ph.D., Electrical Engineering - Systems

  University of Southern California

  1990

• B.Tech, Electronics Engineering

  Indian Institute of Technology Madras

  1984

Similar researchers at University of Florida

• Yuanyuan Leih-61
• Shigang Chenh-50