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Scopus Author ID: 57210729507

Biography

Dr. Mohammed Qasem is an assistant lecturer at the department of computing science, Augustana Faculty, University of Alberta. He started working at Augustana in July 2019. Before arriving at Augustana, Dr. Qasem taught many computer-science courses in hardware, software, and programming. He also worked at Manitoba Hydro International as a Software Developer. His research centers mostly on three areas including ant-inspired clustering models and their applications to dynamic real-world clustering problems, semi-supervised classification and clustering, and aspect-based sentiment analysis.

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Works (4)

Evaluation and Validation of Semi-Supervised Ant-inspired Sentence-Level Sentiment Prediction Clustering

2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings
2019 | Conference paper
DOI: 10.1109/CEC.2019.8790020
EID:

2-s2.0-85071285727
Contributors: Qasem, M.; Thulasiraman, P.
Source: Self-asserted source
Mohammed Qasem via Scopus - Elsevier

Constrained ant brood clustering algorithm with adaptive radius: A case study on aspect based sentiment analysis

2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings
2018 | Conference paper
DOI: 10.1109/SSCI.2017.8280943
EID:

2-s2.0-85046145663
Contributors: Qasem, M.; Thulasiraman, P.; Thulasiram, R.K.
Source: Self-asserted source
Mohammed Qasem via Scopus - Elsevier

Enhancing ant brood clustering with adaptive radius of perception and non-parametric estimation on multi-core architectures

Lecture Notes on Data Engineering and Communications Technologies
2018 | Book chapter
DOI: 10.1007/978-3-319-65636-6_27
EID:

2-s2.0-85090375020

Part of ISSN: 23674520 23674512
Contributors: Qasem, M.; Liu, Y.Y.; Wang, Z.; Thulasiraman, P.; Thulasiram, R.K.
Source: Self-asserted source
Mohammed Qasem via Scopus - Elsevier

Twitter sentiment classification using machine learning techniques for stock markets

2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015
2015 | Conference paper
DOI: 10.1109/ICACCI.2015.7275714
EID:

2-s2.0-84946212433
Contributors: Qasem, M.; Thulasiram, R.; Thulasiram, P.
Source: Self-asserted source
Mohammed Qasem via Scopus - Elsevier
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