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Kh Tohidul Islam
PeerJ Author & Reviewer
130 Points

Contributions by role

Author 100
Reviewer 30

Contributions by subject area

Artificial Intelligence
Computer Vision
Data Mining and Machine Learning
Algorithms and Analysis of Algorithms
Software Engineering
Visual Analytics
Autonomous Systems
Real-Time and Embedded Systems

Kh Tohidul Islam

PeerJ Author & Reviewer

Summary

Kh Tohidul Islam is currently a Doctor of Philosophy student at the Department of Surgery (Otolaryngology), University of Melbourne, Australia. He completed his Master of Computer Science (by research) at the Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, Malaysia. He also graduated with a Bachelor of Science in Electrical and Electronic Engineering in 2013 from Prime University, Bangladesh and a Master of Business Administration in 2015 from Lincoln University College, Malaysia. His areas of interest are Medical Image Processing, Deep Learning, Artificial Intelligence, Intelligent Systems, Pattern Recognition, and Feature Extraction.

Artificial Intelligence Computer Aided Design Computer Vision Data Mining & Machine Learning Data Science Programming Languages Real-Time & Embedded Systems Robotics Scientific Computing & Simulation Visual Analytics

Past or current institution affiliations

University of Melbourne
Prime University
University of Malaya

Work details

PhD Student

University of Melbourne
April 2018
Department of Surgery

Graduate Student

Prime University
June 2009 - July 2013
Department of Electrical and Electronics Engineering

Postgraduate Student

Lincoln University College
December 2013 - September 2015
Business and Accountancy

Postgraduate Student and Research Assistant

University of Malaya
September 2015 - October 2017
Department of Artificial Intelligence

Websites

  • Google Scholar
  • ResearcherID
  • LinkedIn
  • PubMed Search

PeerJ Contributions

  • Articles 1
March 4, 2019
A rotation and translation invariant method for 3D organ image classification using deep convolutional neural networks
Kh Tohidul Islam, Sudanthi Wijewickrema, Stephen O’Leary
https://doi.org/10.7717/peerj-cs.181