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Dr. Rezvan Pakdel

Biography

I am currently working as a Post Doctoral Researcher on a project related to open source and reuse.

I completed my PhD in the MISL, University College Cork, Ireland. My research is about Big Data analytics.

I have got my master degree from Malaysia (UTM). My master research topic was ENHANCEMENT OF CAPTCHA SCHEME BASED ON USABILITY AND RELIABILITY FEATURES, which is a security method in network and Internet to check that a user is human and is not a robot.

Degrees:

  • PhD of Computer Science, 2020, University College Cork, Ireland
  • Master of Computer Science, 2012, University Technology of Malaysia
  • Bachelor of Computer Software Engineering, 2009, Shiraz University
  • Associate of Computer Software Engineering, 2006, Shiraz University

Research Interests

Interests:

  • Cloud Computing and Mobile Cloud Computing
  • Big Data Analytics
  • Image Processing
  • Human and Computer Interaction
  • Machine Learning
  • Open Source Software

 

Publications

Published Journals and Conferences 

  • Multi Touch Graphical Passwords: Usability Features, Asian Journal of Applied Science ISSN: 1996-3343, 2011.
  • CAPTCHA: A Survey of Usability Features, Research Journal of Information Technology ISSN: 1815-7432, 2012.
  • A USER-FRIENDLY CAPTCHA SCHEME BASED ON USABILITY FEATURES, Information Technology Journal ISSN: 1812-5646, 2012.
  • Rezvan Pakdel and John Herbert, A cloud-based data analysis framework for object recognition, in Proceeding of the 5th International Conference on Cloud Computing and Services Science (CLOSER 2015) [PH15].
  • Rezvan Pakdel and John Herbert, Efficient Cloud-Based Framework for Big Data Classification, the 2nd IEEE International Conference on Big Data Computing Service and Applications (BigDataService 2016) [PH16a]. 
  • Rezvan Pakdel and John Herbert, Scalable Cloud-Based Analysis Framework for Medical Big-Data, the IEEE 40th International Computer Software and Applications Conference 2016 (Compsac 2016) [PH16b].
  • Rezvan Pakdel and John Herbert, Adaptive Cost Efficient Framework for Cloud-Based Machine Learning, the IEEE 41st International Computer Software and Applications Conference 2017 (Compsac 2017) [PH17]. 

Mobile and Internet Systems Laboratory

Department of Computer Science, Western Gateway Building, University College Cork, Western Road, Cork, Ireland.

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