Ashad Kabir — Charles Sturt University Research Output

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

Computer Science Bibliography - http://dblp.uni-trier.de/pers/hd/k/Kabir:Muhammad_Ashad
Google Scholar - https://scholar.google.com.au/citations?user=QsKnuRYAAAAJ&hl=en
Microsoft Academic - https://academic.microsoft.com/#/detail/2144256025

URL

LinkedIn - https://www.linkedin.com/in/ashadkabir/
Research gate - https://www.researchgate.net/profile/Ashad_Kabir

Education/Academic qualification

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

Feb 2017 → Dec 2017

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

Jul 2009 → 03 Oct 2013

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

01 Sep 2006 → 22 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

115 Citations
6 h-Index
29 Conference paper
9 Article
1 Book
1 Chapter (peer-reviewed)

1 Citations

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: Book chapter/Published conference paper › Conference paper

Classifiers

Mobile phones

Decision trees

A novel quick seizure detection and localization through brain data mining on ECoG dataset

Siddiqui, M. K., Islam, M. Z. & Kabir, A., 01 Mar 2018, In : Neural Computing and Applications. 29 , 4, p. 1-14 14 p.

Research output: Contribution to journal › Article

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: Book chapter/Published conference paper › Conference paper

Data privacy

Access control

Managers

Blockchain as a Notarization Service for Data Sharing with Personal Data Store

Chowdhury, M. J. M., Colman, A., Kabir, M. A., Han, J. & Sarda, P., 05 Sep 2018, Proceedings of the 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering: Trustcom/BigDataSE 2018. IEEE, Institute of Electrical and Electronics Engineers, p. 1330-1335 6 p. 8456052

Research output: Book chapter/Published conference paper › Conference paper

Data privacy

Electronic medical equipment

Turnaround time

Access control

Transparency

Blockchain for Fraud Prevention: A Work-History Fraud Prevention System

Sarda, P., Chowdhury, M. J. M., Colman, A., Kabir, M. A. & Han, J., 05 Sep 2018, Proceedings of the 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering: Trustcom/BigDataSE 2018. IEEE, Institute of Electrical and Electronics Engineers, p. 1858-1863 6 p. 8456149

Research output: Book chapter/Published conference paper › Conference paper

History

Industry

Work history

Work experience

Fraud