World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
8645
World Ranking
12399
National Ranking
5026

Overview

Pavan Turaga is affiliated with Arizona State University in the United States. Their academic work primarily focuses on computer science, with a substantial number of publications in the field.

The main areas of study within computer science that Turaga has contributed to include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging
  • Computational Theory and Mathematics
  • Epidemiology

Their research has explored various topics, notably:

  • Domain Adaptation and Few-Shot Learning
  • Topological and Geometric Data Analysis
  • COVID-19 diagnosis using AI
  • Generative Adversarial Networks and Image Synthesis
  • Machine Learning in Healthcare
  • Anomaly Detection Techniques and Applications
  • Machine Learning and Data Classification

Turaga has published papers in several venues. The most frequent publication outlets include:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Neurocomputing
  • International Journal of Computer Vision

Recent publications authored or co-authored by Turaga comprise:

  • Digital medicine and the curse of dimensionality, 2021, npj Digital Medicine
  • Training calibration-based counterfactual explainers for deep learning models in medical image analysis, 2022, Scientific Reports
  • Machine Learning for Solar Array Monitoring, Optimization, and Control, 2020, Synthesis lectures on power electronics
  • Machine-Learning-based Algorithms for Automated Image Segmentation Techniques of Transmission X-ray Microscopy (TXM), 2021, JOM
  • Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data, 2021, IEEE Internet of Things Journal

Turaga has collaborated frequently with several researchers. Notable co-authors include:

  • Ankita Shukla
  • Eun Som Jeon
  • Jayaraman J. Thiagarajan
  • Sameeksha Katoch
  • Andreas Spanias

Turaga has contributed to book publications as well. One identified title is Machine Learning for Solar Array Monitoring, Optimization, and Control, published by Morgan & Claypool Publishers in 2020.

Best Publications

  • Machine Recognition of Human Activities: A Survey

    P. Turaga;R. Chellappa;V.S. Subrahmanian;O. Udrea

  • Feature Selection

    Unknown

  • ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements

    Kuldeep Kulkarni;Suhas Lohit;Pavan Turaga;Ronan Kerviche

  • Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video-Based Recognition

    P. Turaga;A. Veeraraghavan;A. Srivastava;R. Chellappa

  • Digital medicine and the curse of dimensionality

    Unknown

  • Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision

    P. Turaga;A. Veeraraghavan;R. Chellappa

  • A Constrained Probabilistic Petri Net Framework for Human Activity Detection in Video

    Massimiliano Albanese;Rama Chellappa;Vincenzo Moscato;Antonio Picariello

  • Domain adaptive dictionary learning

    Qiang Qiu;Vishal M. Patel;Pavan Turaga;Rama Chellappa

  • Articulation-invariant representation of non-planar shapes

    Raghuraman Gopalan;Pavan Turaga;Rama Chellappa

  • Compressive acquisition of dynamic scenes

    Aswin C. Sankaranarayanan;Pavan K. Turaga;Richard G. Baraniuk;Rama Chellappa

  • Moving vistas: Exploiting motion for describing scenes

    Nitesh Shroff;Pavan Turaga;Rama Chellappa

  • Direct inference on compressive measurements using convolutional neural networks

    Suhas Lohit;Kuldeep Kulkarni;Pavan Turaga

  • Elastic functional coding of human actions: From vector-fields to latent variables

    Rushil Anirudh;Pavan Turaga;Jingyong Su;Anuj Srivastava

  • Age Estimation and Face Verification Across Aging Using Landmarks

    Tao Wu;P. Turaga;R. Chellappa

  • A Blur-Robust Descriptor with Applications to Face Recognition

    R. Gopalan;S. Taheri;P. Turaga;R. Chellappa

  • An ontology based approach for activity recognition from video

    Umut Akdemir;Pavan Turaga;Rama Chellappa

  • A Constrained Probabilistic Petri Net Framework for Human Activity Detection in Video*

    Unknown

  • Reconstruction-Free Action Inference from Compressive Imagers

    Kuldeep Kulkarni;Pavan Turaga

  • Towards view-invariant expression analysis using analytic shape manifolds

    Sima Taheri;Pavan Turaga;Rama Chellappa

  • Locally time-invariant models of human activities using trajectories on the grassmannian

    Pavan Turaga;Rama Chellappa

  • Unsupervised view and rate invariant clustering of video sequences

    Pavan Turaga;Ashok Veeraraghavan;Rama Chellappa

  • Compressive Acquisition of Linear Dynamical Systems

    Aswin C. Sankaranarayanan;Pavan K. Turaga;Rama Chellappa;Richard G. Baraniuk

  • Convolutional Neural Networks for Non-iterative Reconstruction of Compressively Sensed Images

    Suhas Lohit;Kuldeep Kulkarni;Ronan Kerviche;Pavan Turaga

Frequent Co-Authors

Rama Chellappa
Rama Chellappa Johns Hopkins University
Andreas Spanias
Andreas Spanias Arizona State University
Anuj Srivastava
Anuj Srivastava Florida State University
Ashok Veeraraghavan
Ashok Veeraraghavan Rice University
Cihan Tepedelenlioglu
Cihan Tepedelenlioglu Arizona State University
Aswin C. Sankaranarayanan
Aswin C. Sankaranarayanan Carnegie Mellon University
V. S. Subrahmanian
V. S. Subrahmanian Dartmouth College
Vishal M. Patel
Vishal M. Patel Johns Hopkins University
Richard G. Baraniuk
Richard G. Baraniuk Rice University
Matthew P. Buman
Matthew P. Buman Arizona State University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education can open new doors in Computer Science and related fields. For those looking to accelerate their studies, there are shortest masters degree programs online that allow you to earn your credentials quickly and efficiently, often in as little as one year.

Choosing a degree that aligns with job market trends is also essential. If you are wondering which master's degree is most in demand in usa, Computer Science consistently ranks at the top thanks to its versatility and strong career outlook.

Entry-level learners may be interested in 1 year associate degree programs online, which can provide foundational skills and create a pathway to bachelor’s programs or immediate employment in the tech sector.

Cost is a significant factor in choosing any program. Many students seek the cheapest online degrees to maximize their investment and minimize debt, making advanced education in Computer Science more accessible than ever before.

Best Scientists Citing Pavan Turaga

Trending Scientists

Recently Published Articles