
Dr Mohammad Haque
Research Associate
School of Electrical Engineering and Computing
- Email:mohammad.haque@newcastle.edu.au
- Phone:(02) 4042 0189
Career Summary
Biography
Dr Mohammad Nazmul Haque achieved the Doctor of Philosophy (Computer Science) degree from the University of Newcastle, Australia in February 2017. His PhD research area was on the genetic algorithm-based ensemble of classification methods for biological data classification. Dr Haque possesses interdisciplinary research experiences in data analytics for the diverse source of data (including gene expression, business and consumer behaviour, images etc.) and has worked with supernetwork and complex Network Analysis for the cohesion, community and structural similarity identification using memetic algorithm. He is currently working on a novel representation based on Continued fraction for regression method using a memetic algorithm with the potential application on astronomy, scientific functions and predictions. He has published several papers in peer-reviewed journals, conferences and book chapters.
Dr Haque received the B.Sc and M.Sc in Computer Science & Engineering from Daffodil International University (DIU), Dhaka, Bangladesh in 2006 and 2011, respectively. Before he started the PhD candidature in Aug 2012 at the University of Newcastle, he was involved in academia as Lecturer at Daffodil International University, Bangladesh from 2009 to 2012. He also served as Lecturer of Computing Information Systems at Daffodil Institute of IT, Bangladesh from 2007 to 2009. Just after completing his Bachelor in 2006, he joined as Junior Software Engineer at KMC e-technology, Bangladesh.
His current research interests include Data Analytics, Evolutionary Computing, Machine Learning, Artificial Intelligence, Image Processing and Health Informatics.
Qualifications
- Doctor of Philosophy, University of Newcastle
- Master of Science, Daffodil International University, Bangladesh
Keywords
- Artificial Intelligence
- Bioinformatics
- Data Analytics
- Evolutionary Computation
- Health Informatics
- Image Processing
- Machine learning
- Super-network Analytics
Languages
- Bengali (Mother)
- English (Fluent)
Fields of Research
Code | Description | Percentage |
---|---|---|
080199 | Artificial Intelligence and Image Processing not elsewhere classified | 20 |
170203 | Knowledge Representation and Machine Learning | 30 |
080108 | Neural, Evolutionary and Fuzzy Computation | 50 |
Professional Experience
UON Appointment
Title | Organisation / Department |
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Academic appointment
Dates | Title | Organisation / Department |
---|---|---|
1/11/2007 - 26/1/2009 |
Lecturer |
Daffodil Institute of IT School of Computing Information System Bangladesh |
2/4/2012 - 14/8/2012 | Senior Lecturer | Daffodil International University Department of computer Science & Engineering Bangladesh |
29/1/2009 - 1/4/2012 | Lecturer | Daffodil International University Department of computer Science & Engineering Bangladesh |
Membership
Dates | Title | Organisation / Department |
---|---|---|
17/6/2020 - 30/6/2021 | ACS Member and Certified Professional (MACS CP) | Australian Computer Society (ACS) Australia |
Professional appointment
Dates | Title | Organisation / Department |
---|---|---|
10/5/2007 - 30/10/2007 | Software Engineer | KMC e-Technology Bangladesh |
20/6/2006 - 9/5/2007 | Junior Software Engineer | KMC e-Technology Bangladesh |
Awards
Prize
Year | Award |
---|---|
2005 |
ACM-Solver Coding Championship Daffodil International University |
Scholarship
Year | Award |
---|---|
2012 |
University of Newcastle International Postgraduate Research Scholarship Faculty of Engineering and Built Environment - The University of Newcastle (Australia) |
2012 |
University of Newcastle Research Scholarship Central Faculty of Engineering and Built Environment - The University of Newcastle (Australia) |
Teaching
Code | Course | Role | Duration |
---|---|---|---|
COMP2240 |
Operating Systems University of Newcastle - Faculty of Engineering & Built Environment |
Tutor | 25/7/2016 - 31/12/2016 |
SENG3150 |
Software Project 1: Requirements Engineering and Design University of Newcastle - Faculty of Engineering & Built Environment |
Teaching Material Development | 12/8/2016 - 31/12/2016 |
INFO6002 |
Database Management 2 University of Newcastle - Faculty of Engineering & Built Environment |
Lead Web Tutor | 22/5/2017 - 31/8/2017 |
INFO6002 |
Database Management 2 University of Newcastle - Faculty of Engineering & Built Environment |
Lecturer | 22/5/2017 - 31/8/2017 |
COMP3340 |
Data Mining University of Newcastle - School of Electrical Engineering and Computing | Australia |
Tutor (F2F & Online) | 3/8/2020 - 11/11/2020 |
COMP6340 |
Data Mining University of Newcastle - School of Electrical Engineering and Computing | Australia |
Tutor (Web) | 3/8/2020 - 11/11/2020 |
COMP3340 |
Data Mining University of Newcastle - School of Electrical Engineering and Computing | Australia |
Tutor | 31/7/2019 - 6/11/2019 |
COMP4120 |
Special Topic B : Datamining Faculty of Engineering and Built Environment - The University of Newcastle (Australia) |
Tutor & Guest Lecturer | 26/2/2018 - 27/7/2018 |
Publications
For publications that are currently unpublished or in-press, details are shown in italics.
Chapter (2 outputs)
Year | Citation | Altmetrics | Link | |||||
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2019 |
Haque MN, Moscato P, 'From Ensemble Learning to Meta-Analytics: A Review on Trends in Business Applications', Business and Consumer Analytics: New Ideas, Springer, Switzerland 703-731 (2019) [B1]
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2019 |
Haque MN, de Vries NJ, Moscato P, 'A Multi-objective Meta-Analytic Method for Customer Churn Prediction', Business and Consumer Analytics: New Ideas, Springer, Switzerland 781-813 (2019) [B1]
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Journal article (5 outputs)
Year | Citation | Altmetrics | Link | ||||||||
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2019 |
Haque MN, Moscato P, 'The Cohesion-Based Communities of Symptoms of the Largest Component of the DSM-IV Network', JOURNAL OF INTERCONNECTION NETWORKS, 19 (2019) [C1]
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2016 |
Haque MN, Noman N, Berretta R, Moscato P, 'Heterogeneous ensemble combination search using genetic algorithm for class imbalanced data classification', PLoS ONE, 11 (2016) [C1] © 2016 Haque et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and repro... [more] © 2016 Haque et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Classification of datasets with imbalanced sample distributions has always been a challenge. In general, a popular approach for enhancing classification performance is the construction of an ensemble of classifiers. However, the performance of an ensemble is dependent on the choice of constituent base classifiers. Therefore, we propose a genetic algorithm-based search method for finding the optimum combination from a pool of base classifiers to form a heterogeneous ensemble. The algorithm, called GA-EoC, utilises 10 fold-cross validation on training data for evaluating the quality of each candidate ensembles. In order to combine the base classifiers decision into ensemble's output, we used the simple and widely used majority voting approach. The proposed algorithm, along with the random sub-sampling approach to balance the class distribution, has been used for classifying class-imbalanced datasets. Additionally, if a feature set was not available, we used the (a, ß) - k Feature Set method to select a better subset of features for classification. We have tested GA-EoC with three benchmarking datasets from the UCI-Machine Learning repository, one Alzheimer's disease dataset and a subset of the PubFig database of Columbia University. In general, the performance of the proposed method on the chosen datasets is robust and better than that of the constituent base classifiers and many other well-known ensembles. Based on our empirical study we claim that a genetic algorithm is a superior and reliable approach to heterogeneous ensemble construction and we expect that the proposed GA-EoC would perform consistently in other cases.
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2014 |
Whaiduzzaman M, Haque MN, Rejaul Karim Chowdhury M, Gani A, 'A study on strategic provisioning of cloud computing services.', ScientificWorldJournal, 2014 894362 (2014) [C1]
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2014 |
Whaiduzzaman M, Gani A, Anuar NB, Shiraz M, Haque MN, Haque IT, 'Cloud Service Selection Using Multicriteria Decision Analysis', SCIENTIFIC WORLD JOURNAL, (2014) [C1]
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Show 2 more journal articles |
Conference (5 outputs)
Year | Citation | Altmetrics | Link | ||||||||
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2020 |
Moscato P, Sun H, Haque MN, 'Analytic Continued Fractions for Regression: Results on 352 datasets from the physical sciences', 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings, Glasgow, Scotland (2020) [E1]
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2019 |
Haque MN, Mathieson L, Moscato P, 'A Memetic Algorithm Approach to Network Alignment: Mapping the Classification of Mental Disorders of DSM-IV with ICD-10', GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference, Prague, Czech Republic (2019) [E1]
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2017 |
Haque MN, Mathieson L, Moscato P, 'A memetic algorithm for community detection by maximising the connected cohesion', 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings, Hawaii, USA (2017) [E1]
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2016 |
Haque MN, Noman N, Berretta R, Moscato P, 'Optimising weights for heterogeneous ensemble of classifiers with differential evolution', 2016 IEEE Congress on Evolutionary Computation (CEC), Vancouver, British Columbia, Canada (2016) [E1]
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Show 2 more conferences |
Research Supervision
Number of supervisions
Past Supervision
Year | Level of Study | Research Title | Program | Supervisor Type |
---|---|---|---|---|
2012 | Honours | Malignant Cancer Cell Detection by Microscopy Image Analysis | Computer Science, Daffodil International University | Principal Supervisor |
2011 | Honours | Hardware and software maintenance of an organization | Computer Science, Daffodil International University | Principal Supervisor |
2011 | Honours | Design and development of exam seat planning system | Computer Science, Daffodil International University | Principal Supervisor |
2010 | Honours | Design and development of a course registration system using the pre requisite checking constraint | Computer Science, Daffodil International University | Principal Supervisor |
Research Collaborations
The map is a representation of a researchers co-authorship with collaborators across the globe. The map displays the number of publications against a country, where there is at least one co-author based in that country. Data is sourced from the University of Newcastle research publication management system (NURO) and may not fully represent the authors complete body of work.
Country | Count of Publications | |
---|---|---|
Australia | 8 | |
Canada | 2 | |
Malaysia | 2 | |
United States | 2 | |
Bangladesh | 1 | |
More... |
Dr Mohammad Haque
Positions
Research Associate
School of Electrical Engineering and Computing
Faculty of Engineering and Built Environment
Casual Academic
School of Electrical Engineering and Computing
Faculty of Engineering and Built Environment
Contact Details
mohammad.haque@newcastle.edu.au | |
Phone | (02) 4042 0189 |
Office
Room | ICT 3.100 |
---|---|
Building | ICT Building |
Location | University Drive, Callaghan, NSW 2308 Australia University Drive Callaghan, NSW 2308 Australia |