University of Nottingham Malaysia
Faculty of Arts and Social Sciences
     
  
 

Image of Hsin-Vonn Seow

Hsin-Vonn Seow

Associate Professor of Operations Research, Associate Dean of Research and Knowledge Exchange, Faculty of Arts and Social Sciences, Faculty of Social Sciences

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Biography

Dr Hsin-Vonn SEOW is Associate Professor of Operations Research and currently the Associate Dean of Research and Knowledge Exchange for the Faculty of Arts and Social Sciences at the University of Nottingham Malaysia . She received her doctorate from the University Of Southampton UK in 2006.

Her Ph.D. study was sponsored by a scholarship which was in part funded by Fair Isaac Inc. and by the School of Management (now known as Southampton Business School) at the University of Southampton. Her thesis was in Acceptance Scoring, an area which was new in Credit Scoring, under the supervision of the late Emeritus Professor Lyn Thomas.

Her current research interests include looking at applications of operations research in the many areas of management and multi-disciplinary research. Dr Seow is currently a member of the Operational Research Society UK. She is a reviewer for journals such as the Journal of the Operational Research Society, European Journal of Operational Research, Expert Systems, to name a few. She is also an alumni of the EURO Summer Institute (Optimization and Data Mining, Turkey 2004).

Dr Seow was part of the international team of researchers (Germany, Belgium and the UK) that won the Best Paper (Theory and Methodology) in the European Journal of Operational Research (EJORS) in 2017. This prestigious award is presented by the Association of European Operational Research Societies. She continues her research efforts in AI techniques, data analytics, Operational Research and Credit Scoring.

Expertise Summary

My research interests include looking at applications of Operational Research techniques (with strong interest in credit scoring and credit control); Data Analytics, AI.

Teaching Summary

I am currently lecturing the following modules:

  1. Quantitative Methods 1a (BUSI1037)
  2. Quantitative Methods 1b (BUSI 1037)
  3. Quantitative Methods 2A (BUSI2055)
  4. Research Methods(BUSI4503)

Research Summary

Applications of Operations Research techniques, with a strong interest in credit scoring and credit control; Data Analytics.

Recent Publications

Future Research

Credit Scoring, Data Analytics, Operations Research

Faculty of Arts and Social Sciences

University of Nottingham Malaysia
Jalan Broga, 43500 Semenyih
Selangor Darul Ehsan
Malaysia

telephone: +6 (03) 8924 8000
fax: +6 (03) 8924 8001

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