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Akhil jabbar Meerja
PeerJ Reviewer
130 Points

Contributions by role

Reviewer 130

Contributions by subject area

Artificial Intelligence
Computer Networks and Communications
Data Mining and Machine Learning
Security and Privacy
Internet of Things
Emerging Technologies
Bioinformatics
Human-Computer Interaction
Computer Vision
Multimedia
Visual Analytics
Cardiology
Evidence Based Medicine
Global Health
Public Health

Akhil jabbar Meerja

PeerJ Reviewer

Summary

Dr. M.A.JABBAR is a Professor and Head of the Department AI&ML, Vardhaman College of Engineering, Hyderabad, Telangana, India. He obtained Doctor of Philosophy (Ph.D.) from JNTUH, Hyderabad, and Telangana, India. He has been teaching for more than 20 years. His research interests include Artificial Intelligence, Big Data Analytics, Bio-Informatics, Cyber Security, Machine Learning, Attack Graphs, and Intrusion Detection Systems.
He published 65 papers in Scopus indexed journals and conferences. He is a Reviewer for Scopus and SCI journals like Springer, Elsevier, and IEEE Transactions on Systems Man and Cybernetics, Wiley. He served as a technical committee member for more than 75 international conferences. He has been Editor for 1st ICMLSC 2018 international conference held during 22nd and 23rd June 2018 at Hyderabad
• Received best faculty researcher award from CSI Mumbai chapter and Fosse Labs IIT Bombay
• Recognized as an outstanding reviewer from Elsevier.
• Received outstanding Leadership award from IEEE Hyderabad Section.
Received IEEE CS distinguished contributor award

Artificial Intelligence Bioinformatics Computer Networks & Communications Data Mining & Machine Learning Emerging Technologies Security & Privacy

Past or current institution affiliations

University of Hyderabad

Work details

Head of the Dept ,AI&ML

vardhaman college of Engineering
CSE(AI&ML)

Websites

  • Google Scholar
  • personal website

PeerJ Contributions

  • Reviewed 2

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.

October 22, 2024
A classification system for identifying persons with an unknown cardiovascular disease (CVD) status for a multiracial/ ethnic Caribbean population
Amalia Hosein, Valerie Stoute, Natasha Singh
https://doi.org/10.7717/peerj.17948 PubMed 39465157
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