B.Sc. (Lucknow University) 

M.Sc. (Lucknow University) 

Ph.D. (University of Kent) 

C.Stat (Chartered Statistician) 

FRSS (Fellow of the Royal Statistical Society) 

After achieving undergraduate and graduate degrees from the University of Lucknow in
India, Dr Kuldeep Kumar obtained his PhD in Statistics from the University of Kent,
England. Prior to joining Bond University in 1993, he taught at the Indian Institute of
Management and National University of Singapore. A Fellow of the Royal Statistical
Society and a Chartered Statistician, he has won the Commonwealth Scholarship Award, CEC
Post Doctoral Fellowship Award and Young Statistician Award of the International
Statistical Institute. He has also won the Bond-Oxford Fellowship in 1997 and
Australia-Taiwan exchange program award in 1998. 

In 2006 he was winner of Vice Chancellor quality award for research supervision and twice
won (1998 and 2002) the Teaching Excellence Award of the School of Information
Technology. In 2005 he won a Quality award for post graduate supervision. The recipient
of several grants, Dr Kumar has published more than 80 research papers, 5 book chapters,
18 book reviews, edited two conference proceedings and chaired sessions at several
international conferences. He has also edited a special issue of Managerial Finance.
Presently, he is on the Editorial board of six international referred journals.

Articles

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An ANN-based auditor decision support system using Benford's Law (with Sukanto Bhattacharya and Dongming Xu), Decision support systems (2010)

While there is a growing professional interest on the application of Benford's law and 'digit...

A brief review of recent research trends on applications of computational and statistical techniques in financial & business intelligence (with Sukanto Bhattacharya), Annual international academic conference on Business Intelligence & Data Warehousing (BIDW 2010) (2010)

Artificial neural networks and statistical techniques like decision trees,
discriminant analysis, logistic regression and survival analysis...

How to make teaching of statistics more effective in business schools?, IABE-2010 Bangkok- summer conference (2010)

Statistics is taught in almost all Business Schools as a core course and prerequisite to...

Diabetes prediction in Pima Indians using ANN and statistical techniques (with Ping Zhang), JP Journal of biostatistics (2010)

Due to the fact that Pima Indian tribe has lived in the same location for...

Business failure prediction using decision trees (with Adrian Gepp and Sukanto Bhattacharya), Journal of forecasting (2009)

Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly financial...

Book Chapters

A Hybrid Approach Based on Genetic Algorithms in Conjunction with Statistical Methods for the Diagnosis of Breast Cancer (with Brijesh Verma and Ping Zhang), in Advanced Computational Methods for Biocomputing and Bioimaging (2006)

This chapter reviews and presents genetic algorithms and statistical methods based approach for early detection...

Conference Papers

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Presenting a simplified assistant tool for breast cancer diagnosis in mammography to radiologists (with Ping Zhang and Jenny Doust), 2nd International conference on medical biometrics: ICMB 2010 (2010)

This paper proposes a method to simplify a computational model from logistic regression for clinical...

A hybrid classifier for mass classification with different kinds of features in mammography (with Ping Zhang and Brijesh Verma), Paper presented at the 2nd international conference on Fuzzy Systems and Knowledge Discovery (FSKD 2005) (2005)

This paper proposes a hybrid system which combines computer extracted features and human interpreted features...

A neural-genetic algorithm for feature selection and breast abnormality classification in digital mammography (with Ping Zhang and Brijesh Verma), Paper presented at the IEEE International Joint Conference on Neural Networks (IJCNN) 2004 (2004)

Digital mammography is one of the most suitable methods for early detection of breast cancer....

Neural vs statistical classifier in conjunction with genetic algorithm feature selection in digital mammography (with Ping Zhang and Brijesh Verma), Paper presented at the IEEE 2003 Congress on Evolutionary Computation (CEC '03) (2003)