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Prof. Kuldeep Kumar   C. Stat, FSS, CSci

Ph D, B Sc, M Sc,

Prof. Kuldeep Kumar
Professor of Economics
Bond Business School
Bond University QLD 4229

Professor of Economics

Bond Business School

Office Telephone Number
Within Australia:
From overseas:

7 559 53305
+61 7 559 53305
Building Level: 4
Building: 2. Bond Business School
Location: Bond University
Professional Biography
Dr Kuldeep Kumar obtained PhD in Statistics from the University of Kent, Canterbury. He has taught at the Indian Institute of Management and National University of Singapore before joining Bond University in 1993. He is a Fellow of the Royal Statistical Society and a Chartered Statistician and currently he has been awarded Chartered Scientist by Science Council.

He has won the Commonwealth Scholarship Award, CEC Post Doctoral Fellowship Award and Young Statistician Award of the International Statistical Institute. He is also winner of the Bond-Oxford Fellowship in 1997 and Australia-Taiwan exchange program award in 1998 and 2007. He was winner of Vice Chancellor quality award for research supervision in 2006. He has twice (1998 and 2002) won the Teaching Excellence Award of the School of Information Technology and in 2005 he won Quality award for the post graduate supervision. Dr Kumar has also won Excellence in Research award of Faculty of Business in 2006.

Recipient of several grants Dr Kumar has published more than 100 research papers, 10 chapters in the book, 24 book reviews and edited four conference proceedings and one book. He has also edited a special issue of Managerial Finance. In the last 6 years he has successfully supervised 2 PhD students and several Masters Students. He is on the Editorial board of six International referred journals and has been invited speaker/chaired the session in several International Conferences.

Doctor of Philosophy - University of Kent, U.K.
Bachelor of Science - L'now University
Master of Science - L'now University
Professional admission & memberships

Chartered Statistician

Chartered Scientist

Fellow of Royal Statistical Society

Other professional appointments

Visiting Professor - AI-Econ Centre, National Chengchi University

Affiliate Professor - CENTRUM Católica, Peru

Recent Keynote Addresses
  • Bankruptcy Prediction for SME
    SME Banking and Finance Conference, Marcus Evans
  • Challenges in Higher Education
    International Conference, IPE and Bihar Government
  • Future of Statistics
    International Conference, AMU
Teaching expertise
DR Kuldeep Kumar who is winner of teaching excellence award has taught in Indian Institute of Management and National University of Singapore before joining Bond University. He has over 25 years of teaching experience and has taught various subjects.
Subject list

ECON70-041 Forecasting Techniques in Business

ECON12-200 Econometrics

BUSN71-104 Statistical Methods for Business

BUSN71-600 Analysis and Application

STAT11-111 Business Statistics

STAT11-100 Business Maths

STAT10-100 Elementary Maths

Teaching awards

Vice Chancellor Quality award

Teaching Excellence award

Bond-Oxford Fellowship

Commonwealth Scholarship

International Science Linkage award of AASc

Dean's Citation for Outstanding Reserach Contribution

Research interests & research expertise

Dr Kumar has research interest in various areas of statistical/Econometric Modelling and Foreacsting. His current resaerch interest includes:

Bankruptcy prediction, Fraud detection, Recursive Partitioning, Time Series Analysis, Business and Economic Forecasting, Statistical Modelling, Multivariate Analysis, Econometrics, Application of Neural Network and AI in breast cancer detection and Finance. Application of Statistics in sport, exercise science and health. Biostatistics and teaching.

Current research grants

Vice Chancellor Research Grant

Recent research grants

Vice Chancellor Research Grant

Research partners & collaborators

Dr Sukanto Bhattacharya - Deakin University

Dr Ping Zhang - CSIRO, Melbourne

Kuldeep Kumar
(Link to personal researcher page)

Recent Publications
  • The Fraud Detection Triangle: A new framework for selecting variables in fraud detection research
  • Estimating and testing the significance of correlation coefficient obtained from truncated bivariate normal distribution
  • JustDial: Reducing the Digital Divide through an ICT-Enabled Application of Appropriate Technology and Fortune-Seeking Behavior at the Bottom of the Pyramid
  • Standards, framework and practices in Health Management Information and Evaluation Systems (HMIES) in Australia and India: lessons for future transition in India
  • How to make teaching of statistics more effective in business schools?
  • A neural-genetic algorithm for feature selection and breast abnormality classification in digital mammography
  • Invigorate corporate board through Indian scriptures
  • Dependency-topic-affects-sentiment-LDA model for sentiment analysis
  • Business failure prediction using decision trees
  • Invisible walls: Do psychological barriers really exist in stock index levels?