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Kc Santosh
PeerJ Author & Reviewer
905 Points

Contributions by role

Author 100
Reviewer 105
Editor 700

Contributions by subject area

Bioinformatics
Artificial Intelligence
Data Mining and Machine Learning
Computational Biology
Computer Vision
Human-Computer Interaction
Software Engineering
Visual Analytics
Hematology
Infectious Diseases
Computational Science
Data Science
Algorithms and Analysis of Algorithms
Computational Linguistics
Natural Language and Speech
Text Mining
Sentiment Analysis
Databases
Theory and Formal Methods
World Wide Web and Web Science

Kc Santosh

PeerJ Author & Reviewer

Summary

Prof. Santosh is the Chair of the Department of Computer Science (CS) at the University of South Dakota (USD). He also serves International Medical University (IMU), Malaysia as an Adjunct Professor (Full). For a year (AY 2019/20), he served School of Computing and IT, Taylor's University as a Visiting Associate Professor. Prior to that, he worked as a research fellow at the U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). For more information, follow: kc-santosh.org.

Artificial Intelligence Computational Science Computer Aided Design Computer Vision Data Mining & Machine Learning Data Science Hematology Infectious Diseases

Past or current institution affiliations

University of South Dakota

Work details

Chair, Department of Computer Science

University of South Dakota
October 2020
Computer Science

Websites

  • Google Scholar
  • LinkedIn
  • Personal site

PeerJ Contributions

  • Articles 1
  • Edited 6
  • Reviewed 2
April 25, 2022
A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19?
KC Santosh, Nicholas Rasmussen, Muntasir Mamun, Sunil Aryal
https://doi.org/10.7717/peerj-cs.958

Academic Editor on

September 29, 2022
Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in Wikidata
Houcemeddine Turki, Dariusz Jemielniak, Mohamed A. Hadj Taieb, Jose E. Labra Gayo, Mohamed Ben Aouicha, Mus’ab Banat, Thomas Shafee, Eric Prud’hommeaux, Tiago Lubiana, Diptanshu Das, Daniel Mietchen
https://doi.org/10.7717/peerj-cs.1085
August 17, 2022
Automatic recognition of parasitic products in stool examination using object detection approach
Kaung Myat Naing, Siridech Boonsang, Santhad Chuwongin, Veerayuth Kittichai, Teerawat Tongloy, Samrerng Prommongkol, Paron Dekumyoy, Dorn Watthanakulpanich
https://doi.org/10.7717/peerj-cs.1065
June 18, 2021
Full depth CNN classifier for handwritten and license plate characters recognition
Mohammed Salemdeeb, Sarp Ertürk
https://doi.org/10.7717/peerj-cs.576
May 27, 2021
A fast region-based active contour for non-rigid object tracking and its shape retrieval
Hiren Mewada, Jawad F. Al-Asad, Amit Patel, Jitendra Chaudhari, Keyur Mahant, Alpesh Vala
https://doi.org/10.7717/peerj-cs.373
March 3, 2021
Vector representation based on a supervised codebook for Nepali documents classification
Chiranjibi Sitaula, Anish Basnet, Sunil Aryal
https://doi.org/10.7717/peerj-cs.412
March 2, 2021
Detecting cassava mosaic disease using a deep residual convolutional neural network with distinct block processing
David Opeoluwa Oyewola, Emmanuel Gbenga Dada, Sanjay Misra, Robertas Damaševičius
https://doi.org/10.7717/peerj-cs.352

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

February 18, 2021
COVID-19: a new deep learning computer-aided model for classification
Omar M. Elzeki, Mahmoud Shams, Shahenda Sarhan, Mohamed Abd Elfattah, Aboul Ella Hassanien
https://doi.org/10.7717/peerj-cs.358
May 28, 2019
Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images
Sivaramakrishnan Rajaraman, Stefan Jaeger, Sameer K. Antani
https://doi.org/10.7717/peerj.6977 PubMed 31179181