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Sethuraman Panchanathan

Sethuraman Panchanathan

D-Index & Metrics

Computer Science

D-Index
51
Citations
11612
World Ranking
5300
National Ranking
2439

Research.com Recognitions

  • 2020 - ACM Fellow For contributions to multimedia technologies and leadership in the scientific community
  • 2017 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2013 - Fellow, National Academy of Inventors
  • 2009 - ACM Senior Member
  • 2001 - IEEE Fellow For contributions to compressed domain processing and indexing in visual computing and communications.
  • 1999 - SPIE Fellow
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering

Overview

Sethuraman Panchanathan is affiliated with Arizona State University in the United States. Their research spans several domains within computer science and psychology, with notable work in artificial intelligence and cognitive neuroscience.

The main fields of study for Panchanathan include:

  • Computer Science
  • Psychology
  • Neuroscience

Key subfields of their work are:

  • Artificial Intelligence
  • Cognitive Neuroscience
  • Developmental and Educational Psychology
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition

Principal topics covered by their research include:

  • Domain Adaptation and Few-Shot Learning
  • Tactile and Sensory Interactions
  • Behavioral and Psychological Studies
  • Autism Spectrum Disorder Research
  • Multimodal Machine Learning Applications
  • Machine Learning and Extreme Learning Machines (ELM)
  • Interactive and Immersive Displays

Recent publications authored or co-authored by Panchanathan and their collaborators are:

  • "Improving communication skills of children with autism through support of applied behavioral analysis treatments using multimedia computing: a survey", 2020, Universal Access in the Information Society
  • "Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning", 2020, Lecture notes in computer science
  • "Envisioning the future of the AI research ecosystem", 2024, PNAS Nexus
  • "STEM must meet people where they are", 2023, Science
  • "Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning", 2020, arXiv (Cornell University)

Frequent co-authors collaborating with Panchanathan include:

  • Hemanth Venkateswara
  • Troy McDaniel
  • Corey D. C. Heath
  • Maunil R. Vyas
  • Andrew C. Dudley

Publications have appeared repeatedly in venues such as:

  • Lecture notes in computer science
  • Science
  • The Journal of Medical Sciences
  • Universal Access in the Information Society
  • PNAS Nexus

Awards received by Panchanathan include:

  • ACM Fellow, 2020, for contributions to multimedia technologies and leadership in the scientific community
  • Fellow of the American Association for the Advancement of Science (AAAS), 2017
  • Fellow, National Academy of Inventors, 2013
  • ACM Senior Member, 2009
  • IEEE Fellow, 2001, for contributions to compressed domain processing and indexing in visual computing and communications
  • SPIE Fellow, 1999
  • Member, The Canadian Academy of Engineering

Best Publications

  • Deep Hashing Network for Unsupervised Domain Adaptation

    Hemanth Venkateswara;Jose Eusebio;Shayok Chakraborty;Sethuraman Panchanathan

  • Proceedings of the 19th ACM international conference on Multimedia

    K. Selçuk Candan;Sethuraman Panchanathan;Balakrishnan Prabhakaran;Hari Sundaram

  • Review of Image and Video Indexing Techniques

    F Idris;S Panchanathan

  • Image indexing using moments and wavelets

    M.K. Mandal;T. Aboulnasr;S. Panchanathan

  • Error resiliency schemes in H.264/AVC standard

    Sunil Kumar;Liyang Xu;Mrinal K. Mandal;Sethuraman Panchanathan

  • A critical evaluation of image and video indexing techniques in the compressed domain

    Mrinal K. Mandal;Fayez M. Idris;Sethuraman Panchanathan;Sethuraman Panchanathan

  • VLSI implementation of discrete wavelet transform

    A. Grzeszczak;M.K. Mandal;S. Panchanathan

  • Multimodal emotion recognition using deep learning architectures

    Hiranmayi Ranganathan;Shayok Chakraborty;Sethuraman Panchanathan

  • Multisource domain adaptation and its application to early detection of fatigue

    Rita Chattopadhyay;Qian Sun;Wei Fan;Ian Davidson

  • Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation

    V.N. Balasubramanian;Jieping Ye;S. Panchanathan

  • A Two-Stage Weighting Framework for Multi-Source Domain Adaptation

    Qian Sun;Rita Chattopadhyay;Sethuraman Panchanathan;Jieping Ye

  • Batch Mode Active Sampling Based on Marginal Probability Distribution Matching

    Rita Chattopadhyay;Zheng Wang;Wei Fan;Ian Davidson

  • A virtual reality simulator for orthopedic basic skills: A design and validation study

    Mithra Vankipuram;Kanav Kahol;Alex McLaren;Sethuraman Panchanathan

  • Automated gesture segmentation from dance sequences

    K. Kahol;P. Tripathi;S. Panchanathan

  • Fast Wavelet Histogram Techniques for Image Indexing

    M.K. Mandal;T. Aboulnasr;S. Panchanathan

  • A methodology for evaluating robustness of face recognition algorithms with respect to variations in pose angle and illumination angle

    G. Little;S. Krishna;J. Black;S. Panchanathan

  • Analysis of low resolution accelerometer data for continuous human activity recognition

    N.C. Krishnan;S. Panchanathan

  • Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations

    Hemanth Venkateswara;Shayok Chakraborty;Sethuraman Panchanathan

  • Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning

    Maunil R. Vyas;Hemanth Venkateswara;Sethuraman Panchanathan

  • Using a haptic belt to convey non-verbal communication cues during social interactions to individuals who are blind

    T. McDaniel;S. Krishna;V. Balasubramanian;D. Colbry

  • A wearable face recognition system for individuals with visual impairments

    Sreekar Krishna;Greg Little;John Black;Sethuraman Panchanathan

Frequent Co-Authors

Mrinal Mandal
Mrinal Mandal University of Alberta
Jieping Ye
Jieping Ye Alibaba Group (China)
Sudhir Kumar
Sudhir Kumar Temple University
Ian Davidson
Ian Davidson University of California, Davis
Wei Fan
Wei Fan Tencent (China)
Martin Reisslein
Martin Reisslein Arizona State University
Noel E. O'Connor
Noel E. O'Connor Dublin City University
Nikolaos G. Bourbakis
Nikolaos G. Bourbakis Wright State University
Alexander C. Loui
Alexander C. Loui Rochester Institute of Technology
Baoxin Li
Baoxin Li Shaanxi Normal University

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