Anand Rangarajan

Anand Rangarajan

University of Florida

H-index: 48

North America-United States

About Anand Rangarajan

Anand Rangarajan, With an exceptional h-index of 48 and a recent h-index of 23 (since 2020), a distinguished researcher at University of Florida, specializes in the field of Machine Learning, Computer Vision, Intelligent Transportation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Machine Learning Techniques for Data Reduction of CFD Applications

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

Fast Algorithms for Scientific Data Compression

Constrained Autoencoders: Incorporating equality constraints in learned scientific data compression

Learning Canonical Embeddings for Unsupervised Shape Correspondence With Locally Linear Transformations

Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest

An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation

An Optimization Approach to Supervised Principal Component Analysis

Anand Rangarajan Information

University

Position

Professor Dept. of CISE

Citations(all)

15170

Citations(since 2020)

3542

Cited By

13498

hIndex(all)

48

hIndex(since 2020)

23

i10Index(all)

130

i10Index(since 2020)

48

Email

University Profile Page

University of Florida

Google Scholar

View Google Scholar Profile

Anand Rangarajan Skills & Research Interests

Machine Learning

Computer Vision

Intelligent Transportation

Top articles of Anand Rangarajan

Title

Journal

Author(s)

Publication Date

Machine Learning Techniques for Data Reduction of CFD Applications

arXiv preprint arXiv:2404.18063

Jaemoon Lee

Ki Sung Jung

Qian Gong

Xiao Li

Scott Klasky

...

2024/4/28

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

arXiv preprint arXiv:2404.07446

Nooshin Yousefzadeh

Rahul Sengupta

Yashaswi Karnati

Anand Rangarajan

Sanjay Ranka

2024/4/11

Fast Algorithms for Scientific Data Compression

Tania Banerjee

Jaemoon Lee

Jong Choi

Qian Gong

Jieyang Chen

...

2023/12/18

Constrained Autoencoders: Incorporating equality constraints in learned scientific data compression

Jaemoon Lee

Anand Rangarajan

Sanjay Ranka

2023/3/21

Learning Canonical Embeddings for Unsupervised Shape Correspondence With Locally Linear Transformations

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Pan He

Patrick Emami

Sanjay Ranka

Anand Rangarajan

2022/9

Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest

Tania Banerjee

Jaemoon Lee

Jong Choi

Qian Gong

Jieyang Chen

...

2023/10/9

An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation

IEEE Transactions on Intelligent Transportation Systems (T-ITS)

Aotian Wu

Pan He†

Xiao Li

Ke Chen

Sanjay Ranka

...

2024/4

An Optimization Approach to Supervised Principal Component Analysis

Anthony O. Smith

Anand Rangarajan

2023/12/5

Computing Arterial Travel Time Distributions From Loop Detector and Probe Datasets

IEEE Transactions on Intelligent Transportation Systems

Rahul Sengupta

Rohith RK Reddy

Parth Shah

James Dika

Xiaohui Huang

...

2023/8/4

Towards Effective Traffic Signal Safety and Optimization Using Fisheye Video.

Rahul Sengupta

Tania Banerjee

Ke Chen

Yashaswi Karnati

Sanjay Ranka

...

2023

Nonlinear-by-Linear: Guaranteeing Error Bounds in Compressive Autoencoders

Jaemoon Lee

Anand Rangarajan

Sanjay Ranka

2023/8/3

Spatiotemporally adaptive compression for scientific dataset with feature preservation–a case study on simulation data with extreme climate events analysis

Qian Gong

Chengzhu Zhang

Xin Liang

Viktor Reshniak

Jieyang Chen

...

2023/10/9

Video Based Machine Learning for Traffic Intersections

Tania Banerjee

Xiaohui Huang

Aotian Wu

Ke Chen

Anand Rangarajan

...

2023

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring

SoftwareX

Qian Gong

Jieyang Chen

Ben Whitney

Xin Liang

Viktor Reshniak

...

2023/12/1

Nonlinear constraint satisfaction for compressive autoencoders using instance-specific linear operators

Jaemoon Lee

Anand Rangarajan

Sanjay Ranka

2023/8/3

A Multi-Sensor Video/LiDAR System for Analyzing Intersection Safety

Aotian Wu

Tania Banerjee

Ke Chen

Anand Rangarajan

Sanjay Ranka

2023/9/24

Using DSRC Road-Side Unit Data to Derive Braking Behavior.

Rahul Sengupta

Tania Banerjee

Yashaswi Karnati

Sanjay Ranka

Anand Rangarajan

2023

In‐season crop phenology using remote sensing and model‐guided machine learning

Agronomy Journal

George Worrall

Jasmeet Judge

Kenneth Boote

Anand Rangarajan

2023/5

A Spatiotemporal Correspondence Approach to Unsupervised LiDAR Segmentation with Traffic Applications

IEEE International Conference on Intelligent Transportation Systems (ITSC)

Xiao Li

Pan He†

Aotian Wu

Sanjay Ranka

Anand Rangarajan

2023

Towards Improving the Generation Quality of Autoregressive Slot VAEs

Neural Computation

Patrick Emami

Pan He

Sanjay Ranka

Anand Rangarajan

2023/10

See List of Professors in Anand Rangarajan University(University of Florida)

Co-Authors

H-index: 138
Alan Yuille

Alan Yuille

Johns Hopkins University

H-index: 72
James S. Duncan

James S. Duncan

Yale University

H-index: 69
Lawrence Staib

Lawrence Staib

Yale University

H-index: 41
Eric Mjolsness

Eric Mjolsness

University of California, Irvine

H-index: 15
Adrian M. Peter

Adrian M. Peter

Florida Institute of Technology

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