About

I am a researcher working in the cross-sections among machine learning, data science and business studies. I hold a PhD in Computer Science from the University College London, and my research interest lies in developing intelligent models and data solutions to various business challenges, mainly around digital marketing, quantitative finance, and information systems. I joined the Adam Smith Business School of the University of Glasgow as a Lecturer in Marketing in March 2018. Previously, I was a Lecturer in Data Science in the School of Computer Science at the University of Lincoln. I have also held visiting, internship and research positions at several institutions, including the University of Bath School of Management, the National University of Singapore School of Computing, and Microsoft Research. I serve as Associate Editor of Electronic Commerce Research and Applications, and have reviewed for both business and computer science journals and conferences such as Information and Management, Journal of the American Society for Information Science and Technology, WWW, SIGIR, AISTATS, CIKM, WSDM, etc.
Prospective students should feel free to email me to discuss possible research directions related to AI in business studies. Students from computer science, engineering, statistics and mathematics background are welcome!

Research

Working Papers

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Pricing average price advertisement options when underlying spot market prices are discontinuous
Bowei Chen and Mohan Kankanhalli
Under review (in arXiv), 2018
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Combining guaranteed and spot markets in display advertising: selling guaranteed page views with stochastic demand
Bowei Chen, Jingmin Huang, Yufei Huang, Stefanos Kollias and Shigang Yue
Under review (in arXiv), 2018
A hybrid model for predicting human physical activity status from lifelogging data
Ji Ni, Bowei Chen, Nigel Allinson, and Xujiong Ye
Under review (available upon request), 2018

Publications

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MM2RTB: bringing multimedia metrics to real-time bidding
Xiang Chen, Bowei Chen and Mohan Kankanhalli
Proceedings of the 10th International Workshop on Data Mining for Online Advertising (KDD Workshop), No.4, 2017
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Optimizing trade-offs among stakeholders in real-time bidding by incorporating multimedia metrics
Xiang Chen, Bowei Chen and Mohan Kankanhalli
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 205-214, 2017
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Risk-aware dynamic reserve prices of programmatic guarantee in display advertising
Bowei Chen
Proceedings of the 16th IEEE International Conference on Data Mining Workshops (ICDMW), pp. 511-518, 2016
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A lattice framework for pricing display advertisement options with the stochastic volatility underlying model
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Bowei Chen and Jun Wang
Electronic Commerce Research and Applications, Volume 14, Issue 6, pp. 465-479, 2015
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Multi-keyword multi-click advertisement option contracts for sponsored search
Bowei Chen, Jun Wang, Ingemar Cox, and Mohan Kankanhalli
ACM Transactions on Intelligent Systems and Technology, Volume 7, Issue 1, Article No. 5, 2015
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A dynamic pricing model for unifying programmatic guarantee and real-time bidding in display advertising
Bowei Chen, Shuai Yuan, and Jun Wang
Proceedings of the 8th International Workshop on Data Mining for Online Advertising (KDD Workshop), pp. 1-9, 2014
Best Paper Award
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An empirical study of reserve price optimisation in real-time bidding
Shuai Yuan, Jun Wang, Bowei Chen, Peter Mason, and Sam Seljan
Proceedings of the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp. 1897-1906, 2014
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To personalize or not: a risk management perspective
Weinan Zhang, Jun Wang, Bowei Chen, and Xiaoxue Zhao
Proceedings of the 7th ACM Conference on Recommender Systems (RecSys), pp. 229-236, 2013
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Selling futures online advertising slots via option contracts
Jun Wang and Bowei Chen
Proceedings of the 21st International World Wide Web Conference (WWW), pp. 627-628, 2012

Teaching

School of Computer Science, University of Lincoln

Algorithms for Data Mining
2017-2018 (Year 3 and MComp)
Data Science Tools and Techniques
2017-2018 (Year 3 and MComp)
Business Intelligence
2016-2017 | 2017-2018 (Year 3 and MComp)
Data Science
2016-2017 (Year 3 and MComp)
Business Processes
2015-2016 | 2016-2017 (Year 2)
Information Systems in Practice
2015-2016 (Year 1)
Social Media and Society
2015-2016 (Year 1)
© Bowei Chen 2018