Ashad Kabir

BSc (CUET, Bangladesh), MSc (PNU, South Korea), PhD (Swinburne, Australia)

  • 95 Citations
  • 5 h-Index
20072018

Personal profile

Personal profile

Dr Ashad Kabir is a Lecturer in Computing at Charles Sturt University, Australia. He is also an Adjunct Research Fellow in the School of Software and Electrical Engineering at Swinburne University of Technology, Melbourne, Australia. He has more than ten years teaching and research experience in a number of universities including Nanyang Technological University (Singapore), Deakin University (Australia), Swinburne University of Technology (Australia), University of Nantes (France), Pusan National University (South Korea), University of Chittagong (Bangladesh) and Chittagong University of Engineering and Technology (Bangladesh). Over the years, Dr Kabir has been involved in a number of projects from different industries/institutions, including Rolls-Royce (Singapore), Samsung (South Korea), INRIA (France) and Computer Associate (Australia). Dr Kabir received his PhD in Software Engineering from Swinburne University of Technology, Melbourne, Australia. He is a member of IEEE and ACM.

Research Interests

Dr Kabir is internationally recognized for his pioneering work on social context-aware software systems. He has made several key contributions around the development of social context-aware applications in the vibrant emerging research area of pervasive social computing at the intersections of social computing, context-aware computing, and software engineering. Dr Kabir has research experience in a range of areas of computer science. His research interests include Mobile Health, Data Mining, Context-aware Adaptive Systems, Human Computer Interaction, Software Behavior Mining, Privacy, Smart Mobile Applications, and Pervasive/Ubiquitous Computing. Recently he has published a book entitled Pervasive Social Computing - Socially Aware Pervasive Systems and Mobile Applications.

Professional Information

Dr Kabir is passionate about computer programming. He is keen to develop innovative mobile applications for domains such as elderly/healthcare, emergency management, vehicle, and social well-being. He is a Judge of the IEEEXtreme Programming Competition and IEEE Mobile Applications Development Contest.

  • Area Editor, EAI Endorsed Transactions on Context-aware Systems and Applications (2014 to now)
  • PC Member, 15th Australasian Data Mining Conference (AusDM 2017)
  • PC Member, 33rd International Conference on Software Maintenance and Evolution (Tool Demo Track)
  • PC Member, 14th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2017)
  • PC Member, IEEE International Conference on Parallel and Distributed Systems (ICPADS 2015)
  • Reviewer, IEEE Transactions on Human-Machine Systems, IEEE
  • Reviewer, Journal of Service Oriented Computing and Applications (SOCA), Springer
  • Reviewer, Journal of Pervasive and Mobile Computing (PMC), Elsevier
  • Reviewer, Personal and Ubiquitous Computing (PUC), Springer
  • Reviewer, International Journal of Metadata, Semantics and Ontologies (IJMSO), Inderscience

Teaching

  • ITC518 - Principles of Programming Using C# (postgrad)
  • ITC539 - Android App Development (postgrad)
  • ITC322 - Data Structures (undergrad)
  • ITC358 - IT Security (undergrad)
  • ITC538 - Programming in Java (undergrad)

Publications

URL

Education/Academic qualification

Learning and Teaching in Higher Education, Graduate Certificate (GCert), Charles Sturt University

Feb 2017Dec 2017

Computer and Software Engineering, Doctor of Philosophy (PhD), Swinburne University of Technology

Jul 200903 Oct 2013

Computer Engineering, Master of Science (MSc), Pusan National University

01 Sep 200622 Aug 2008

Computer Science and Engineering, Bachelor of Science in Engineering (BSc.Engg), Chittagong University of Engineering and Technology (CUET)

… → Jul 2004

External positions

Adjunct Research Fellow, Swinburne University of Technology

Mar 2015 → …

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Research Output 2007 2018

  • 95 Citations
  • 5 h-Index
  • 26 Conference paper
  • 9 Article
  • 1 Book
  • 1 Chapter

An Improved Naive Bayes Classifier-Based Noise Detection Technique for Classifying User Phone Call Behavior

Sarker, I. H., Kabir, A., Colman, A. & Han, J. 14 Apr 2018 Proceedings of the 15th Australasian Data Mining Conference (AusDM 2017). Boo, Y. L., Stirling, D., Chi, L., Liu, L., Ong, K-L. & Williams, G. (eds.). Singapore: Springer, p. 72-85 14 p. (Communications in Computer and Information Science; vol. 845)

Research output: Chapter in Book/Report/Conference proceedingConference paper

Classifiers
Mobile phones
Decision trees
Data mining
Brain
Decision trees
Classifiers
Electroencephalography

A system architecture for subject-centric data sharing

Morshed Chowdhury, M. J., Colman, A., Han, J. & Kabir, M. A. 2018 Proceedings of the Australasian Computer Science Week Multiconference: Australasian Information Security Conference (AISC 2018). Association for Computing Machinery (ACM), p. 1-10 10 p. 4

Research output: Chapter in Book/Report/Conference proceedingConference paper

Data privacy
Access control
Managers

Identifying Recent Behavioral Data Length in Mobile Phone Log

Sarker, I. H., Kabir, M. A., Colman, A. & Han, J. 18 Apr 2018 Proceedings of MobiQuitous 2017: 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services. Gu, T., Kotagiri, R., Kaafar, D. & Zhou, G. (eds.). Association for Computing Machinery (ACM), p. 1-2 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference paper

Mobile phones

Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior

Sarker, I. H., Colman, A., Kabir, A. & Han, J. 01 Mar 2018 In : The Computer Journal. 61, 3, p. 349-368 20 p.

Research output: Contribution to journalArticle

Mobile phones
Time series
Experiments

Prizes

Guest Speaker, Texas A&M University, Kingsville, TX, USA

Muhammad Ashad Kabir (Recipient), 20 Sep 2017

Prize/Award: Other distinction

File
data mining

Judge, IEEEXtreme Programming Competition

Muhammad Ashad Kabir (Recipient), 24 Oct 2015

Prize/Award: Award

File

Keynote Speaker, King Abdulaziz University

Muhammad Ashad Kabir (Recipient), 15 Jan 2017

Prize/Award: Other distinction

File

Activities 2017 2017

  • 3 Editorial activity
  • 2 Invited talk
  • 1 Other

14th International Conference on Mobile Systems and Pervasive Computing (Event)

Kabir, M. A. (Programme Committee Member)
17 Jul 201725 Jul 2017

Activity: Editorial activity

15th Australasian Data Mining Conference (Event)

Kabir, M. A. (Programme Committee Member)
19 Aug 201720 Aug 2017

Activity: Editorial activity

Mobile Data Mining - A New Paradigm

Kabir, M. A. (Invited speaker)
20 Sep 2017

Activity: Invited talk

Socially Aware Pervasive Mobile Applications

Kabir, M. A. (Keynote speaker)
15 Jan 2017

Activity: Invited talk