Dr Tasadduq Imam Accounting, Economics, Finance & Property / School of Business and Law

Lecturer

MBA (Uni. Liverpool), Grad Cert in Politics and Policy (Deakin), Grad Cert in Tertiary Education (CQU), PhD (Monash), M.Sc. (BUET), B.Sc.(BUET)

Contact Details

Email: t.imam@cqu.edu.au

Phone: (03) 9616 0645 - Ext: 50645

Office Location

L4, 120 Spencer Street, Melbourne, VIC 3000

About Me

Dr Tasadduq Imam joined CQUniversity in 2009 as a Postdoc Research Fellow. In this role, he was involved in multidisciplinary research areas. He joined the School of Business & Law as academic staff in 2012. He is currently at Melbourne campus of the university as a Lecturer in the Finance.

He is affiliated with multiple organizations, including:

· Member, Accounting and Finance Association of Australia and New Zealand (AFAANZ)

· Academic Member, Financial Planning Association of Australia (FPA)

· Chair of the CPD Committee, Statistical Society of Australia (SSA)

· Certified Professional Member, Australian Computer Society (ACS)

Please note my Google Scholar profile below for research interests and updated publication list:

[Google Scholar Profile: https://scholar.google.com/citations?user=SPZ1zEkAAAAJ&hl=en]

Supervision:

Please note my research interests from the above link.

At present, I am supervising 2 PhD and 1 Masters students as principal supervisor and 2 PhD students as associate supervisor. If you would like to work with me, especially in the area of computational finance and data mining, please let me know.

Awards

Gold Medal for academic performance in Masters, BUET.

MGS scholarship, Monash University, 2004-7.

MIPRS scholarship, Monash University, 2004-8.

Vice-chancellor's Award for Good Practice in Learning and Teaching, 2014.

Nominations for the Student Voice Award of the Year, 2017.

Nominations for the Distant Educator of the Year, 2017.

Nominations for the On-campus Educator of the Year, 2017.

Professional Memberships

· Chair, CPD Committee of the Statistical Society of Australia.

· Member, Accounting and Finance Association of Australia and New Zealand (AFAANZ)

· Academic Member, Financial Planning Association of Australia (FPA)

· Member, Statistical Society of Australia (SSA)

· Certified Professional Member, Australian Computer Society (ACS)

· Member, Association of Computing Machinery (ACM)

· Member, Institute of Electrical and Electronic Engineers (IEEE)

Computer Software

Type

System

Operating System

Microsoft Windows

Linux

iOS

Android

General Software

Microsoft Office

Adobe Apps

Statistical Computation

R

SPSS

Programming Languages

C/C++

Java

Python

Visual Studio

Parallel Computing

PBS

Multicore (R pkg.)

Cloud Computing

NECTAR

Scientific Computation

MATLAB

Scilab

Data Mining

Weka

Database Management

SQL Server

MySQL

SQLite

Oracle

Web Programming

ASP 3.0 & ASP .NET

PHP

AI Programming

Prolog

Software Engineering

UML, Subversion, Unit Testing (Boost-test, Pytest), Boost-C++, C++ STL

Editor

Reviewer, Australian Journal of Electrical & Electronics Engineering.

Reviewer, Intelligent Systems in Accounting and Finance.

Refereed Conferences
T. Imam, "Disruptive innovation through the lens of financial management: a conceptual assessment", ANZAM 2017 Conference, Melbourne, 6-8 Dec 2017.

T. Imam, "Disruptive innovation through the lens of financial management: a conceptual assessment", ANZAM 2017 Conference, December 6-8 2017, Melbourne, 2017.

J. Nahar, ABM S. Ali, T. Imam, K. Tickle, P. Chen, "Brain Cancer Diagnosis-Association Rule Based Computational Intelligence Approach", IEEE International Conference on Computer and Information Technology (CIT), December 8-10, Fiji, 2016.

J. Nahar, K. Kumar, A. Prasad, N. Sharma, A. Khan, S. Singh, S. Shania, A. Kumar, J. Singh, T. Imam, "Potentials of Data Mining and Cloud Computing in the Fish Poisoning and Relevant Economic Contexts: A Conceptual Review", 3rd Asia-Pacific World Congress on Computer Science and Engineering, December 5-6, Fiji, 2016.

T. Imam, " Driving factors for business growth in the least populated Queensland regions: an empirical assessment”, RUN Regional Futures Conference, June 22, Rockhampton, 2016.

J. Nahar, T. Imam, K. Tickle and D. Garcia-Alonso, " Medical knowledge based data mining for cardiac stress test diagnostics”, 2nd Asia-Pacific World Congress on Computer Science and Engineering, pp. 1-7, December 4-6, Fiji, 2015.

T. Imam and K. Tickle, "Relating Precipitation to Climatic Factors at Central Queensland, Australia: A Data Engineering Approach", Proceedings of the WATER 2010 SYMPOSIUM (Hydrology, Hydraulics and Water Resources in an Uncertain Environment: 10th International Symposium on Stochastic Hydraulics and 5th International Conference on Water Resources and Environment Research), July 5-7, Canada, 2010.

Completed Supervisions

Have co-supervised a PhD project at CQU to completion.

Published in: 2012
Grants

(with other colleagues)

($50,000+) External grant funded by GILG, for funding commencing in 2017.

($9,000+) CQUniversity SOLT for the project: “Using Serious Gaming to Teach Corporate Finance Concepts to Undergraduate Finance Students”, for funding commencing in 2016.

($10,000) CQUniversity Seed Grant for the project: “Focus Gladstone: A Machine Intelligence Based System Relating Industry & Climate”, for funding commencing in 2010.

Have also applied for other grants, though have been unsuccessful. The grants include:

FPEC Academic Research Grant.

ARC Discovery Project Grant.


Refereed Articles

T. Imam, “Curriculum coherence when subject-specific standards are absent: a case study using coursework-based master of finance programs at Australian universities”, Studies in Higher Education, (Published Online), pp. 1-13, 2016. (ERA 2010 Rank A*)

J. Nahar, T. Imam, K. Tickle and P. Chen, "Association Rule Mining to Detect Factors which Contribute to Heart Disease in Males and Females”, Journal of Expert Systems with Applications, Vol 40, Issue 4, 2013.

J. Nahar, T. Imam, K. Tickle and P. Chen, "Computational intelligence for heart disease diagnosis: A medical knowledge driven approach”, Journal of Expert Systems with Applications, Vol 40, Issue 1, 2013.

T. Imam, A. Ahmed and K. Tickle, “Dynamics of the Currency Exchange Rates against the AUD: Analytical and Risk Mitigation Perspectives”, Corporate Ownership & Control, Vol 10, Issue 3, pp. 278-291, 2013.

T. Imam, “Intelligent Computing and Foreign Exchange Rate Prediction: What We Know and We Don’t”, Progress in Intelligent Computing and Applications, Vol. 1, No. 1, pp. 1-15, 2012.

T. Imam, K. Tickle, A. Ahmed and W. Guo, “Linear Relationship between AUD to USD Exchange Rate and the Respective Stock Market Indices”, Intelligent Systems in Accounting, Finance and Management , Vol. 19, Issue 1, pp. 19-42, 2012.

T. Imam, A. Ahmed and K. Tickle, “Relating Firm Performance to Corporate Governance Characteristics: A Research Perspective on the Publicly Listed Information Technology Companies in Australia”, Corporate Ownership & Control, Vol. 9, Issue 2, pp. 106-122, 2012.

J. Nahar, T. Imam, K. Tickle, S. Ali and P. Chen, "Computational intelligence for microarray data and biomedical image analysis for the early diagnosis of breast cancer”, Journal of Expert Systems with Applications, Vol 39, Issue 16, 2012.

T. Imam and M. Kaykobad, “Symbolic Substitution Based Canonical Recoding Algorithms”, Computers & Mathematics with Applications, Vol. 50, Issue 8, pp. 1303-1310, 2005.

T. Imam and M. Kaykobad, “Symbolic Substitution Based Canonical Recoding Algorithms”, Computers & Mathematics with Applications, Vol. 48, Issues 10-11, pp. 1541-1548, 2004.

Published (Book Chapter)

J. Nahar, T. Imam, K. Tickle, D. Garcia-Alonso, “Issues of Data Governance Associated with Data Mining in Medical Research: Experiences from an Empirical Study”, in E. J. S. Hovenga, H. Grain (eds), “Health Information Governance in a Digital Environment”, pp. 332-361, IOS Press, Amsterdam, 2013.


T. Imam and K. Tickle, "Class Information Adapted Kernel for Support Vector Machine", Neural Information Processing. Models and Applications, Lecture Notes in Computer Science, Vol. 6444, pp. 116-123, 2010.T. Imam, K. M. Ting and J. Kamruzzaman, “z-SVM: An SVM for Improved Classification of Imbalanced Data”, AI 2006: Advances in Artificial Intelligence, LNAI, Vol. 4304, pp. 264-273, Springer, 2006.

Published in: 2013

A. T. M. R. Hossain, M. R. Alam, M. Mahbub, M. I. Jahan and T. Imam, “An Improved DDCA Algorithm for Single Resource in Mobile Cellular Network”, 7th International Conference on Computer & Information Technology (ICCIT), Bangladesh, December 2004

Published in: 2004

Research Interests

  1. Foreign Exchange Rate Prediction
  2. Corporate Governance
  3. Machine Learning Theory
  4. Data Engineering for Climate Science
  5. Machine Learning and Data Mining Applications in Multidisciplinary Areas

Published in: 2013
Research Seminars

 (Selected) Research Presentations

1.        “Class Information Adapted Kernel for SVM”, given at the CINS symposium at CQUniversity on 10th December, 2010, and also at University of Technology Sydney, ICONIP Conference, 23rd November, 2010.

2.        SVM based Parallel Computing Frameworks for Fast and Improved Classification of Large Scaled and Imbalanced Data”, given at the Department of Computer Science & Engineering, University of New South Wales, Australia, 19th November, 2008.

3.        “Support Vector Machine Classification for Large Scale and Imbalanced Data”, given at the ECR Workshop, ANU Kioloa Coastal Campus, Australia, 16th August, 2008.

4.      “Training Support Vector Machine Classifier for Large Scale Data Using Data Partitioning Approach”, Talk highlighting recent PhD research outcomes, given at GSIT Research Seminar, Monash University, Australia, 21st August, 2007.

5.        “A Brief Review of: Research on Support Vector Machine Classifier in the Context of Imbalanced Data and Large Scale data”, given at GSIT Research Review Talk, Monash University, Australia, 03rd July, 2007.

6.      “z-SVM: An SVM for Improved Classification of Imbalanced Data”, given at Australian Joint Conference on AI 2006, hosted by University of Tasmania, Hobart, Australia, 07th December, 2006.

7.     “Cost Sensitive Support Vector Machine for Class Imbalance Problems”, given at PhD Confirmation Seminar, GSIT, Monash University, Australia, 03rd June, 2005.


INFORMATION AND COMPUTING SCIENCES
Artificial Intelligence and Image Processing - Pattern Recognition and Data Mining
I am interested also in core data mining theories, adapted towards solving business and management problems. The theories that I am interested about include: Support Vector Machine, Random Forest, Artificial Neural Network and Deep Learning.
COMMERCE, MANAGEMENT, TOURISM AND SERVICES
Business and Management - Business and Management not elsewhere classified
I work in the multi-disciplinary area of data mining being employed in finance and business management. The specific expertise includes: Data Mining, Computational Finance, Corporate Governance, Corporate Leadership, International Finance, Finance Education and Financial Literacy, Multimedia and Games in Teaching of Finance and Management, and Business Informatics. I am happy to supervise PhD and Masters projects in these areas, and am open to both academic and industry collaboration opportunities. Please email me for any interest in these areas, and we can proceed from there.
Banking, Finance and Investment - Financial Econometrics
Conference paper

Imam, T. (2017). Disruptive innovation through the lens of financial management: A conceptual assessment. In ANZAM 2017 (pp. 1). Online: Australia and New Zealand Academy of Management (ANZAM). Retrieved from https://www.anzam.org/wp-content/uploads/2018/03/ANZAM-2017-385.R1.pdf

Link to ACQUIRE

Nahar, J., Kumar, K., Prasad, A., Sharma, N., Khan, A., Singh, S., . . . Imam, T. (2016). Potentials of data mining and cloud computing in the fish poisoning and relevant economic contexts: A conceptual review. In A. B. M. Shawkat Ali, M. A. Khan, & K. Mamun (Eds.), Proceedings: Asia-Pacific World Congress on Computer Science and Engineering 2016 and Asia-Pacific World Congress on Engineering 2016, APWC on CSE/APWCE 2016 (pp. 250-257). Piscataway, NJ: IEEE. doi:10.1109/APWC-on-CSE.2016.048

Link to ACQUIRE

Imam, T., & Tickle, K. (2010). Class information adapted kernel for support vector machine. In ICONIP 2010 : Neural information processing : theory and algorithms, 17th international conference, proceedings, part II, 20-25 November 2010, Sydney, Australia (pp. 116-123). Heidelberg, Germany: Springer. Retrieved from http://dx.doi.org/10.1007/978-3-642-17534-3_15

Link to ACQUIRE

Imam, T., & Tickle, K. (2010). Relating precipitation to climatic factors at Central Queensland, Australia : a data engineering approach. In Water 2010 Symposium (Hydrology, Hydraulics and Water Resources in an Uncertain Environment: 10th International Symposium on Stochastic Hydraulics and 5th International Conference on Water Resources and Environment Research), Québec, Canada, 5th-7th July, 2010. (pp. 1-8). Québec, Canada: INRS (Institut national de la recherche scientifique).

Link to ACQUIRE
Journal article

Imam, T. (2018). Curriculum coherence when subject-specific standards are absent: A case study using coursework-based Master of Finance programs at Australian universities. Studies in Higher Education, 43(7), 1135-1147. doi:10.1080/03075079.2016.1225710

Link to ACQUIRE

Imam, T., Ahmed, A., & Tickle, K. (2013). Dynamics of the currency exchange rates against the AUD : analytical and risk mitigation perspectives. Corporate ownership and control., 10(3), 278-291.

Link to ACQUIRE

Nahar, J., Imam, T., Tickle, K., Ali, S., & Chen, Y. P. (2012). Computational intelligence for microarray data and biomedical image analysis for the early diagnosis of breast cancer. Expert systems with applications., 39(16), 12371-12377. Retrieved from http://dx.doi.org/10.1016/j.eswa.2012.04.045

Link to ACQUIRE

Imam, T. (2012). Intelligent computing and foreign exchange rate prediction : what we know and we don't. Progress in intelligent computing and applications., 1(1), 1-15. doi:10.4156/pica10.4156/pica

Link to ACQUIRE

Imam, T., Tickle, K., Ahmed, A., & Guo, W. (2012). Linear relationship between the AUD/USD exchange rate and the respective stock market indices : a computational finance perspective. Intelligent systems in accounting, finance and management., 19(1), 19-42. doi:10.1002/isaf.332

Link to ACQUIRE

Imam, T., Ahmed, A., & Tickle, K. (2012). Relating firm performance to corporate governance characteristics : a research perspective on the publicly listed information technology companies in Australia. Corporate ownership & control., 9(2), 106-122.

Link to ACQUIRE
HE Term 1 - 2019
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