Alexander Chan, Assistant Professor
Education:
- PhD, Cardiff University, UK
- MBA, The Open University, UK
- MSc, University of Warwick, UK
- BEng, University of Warwick, UK
Disciplines: Business Analytics
Email: achan@molloy.edu
Office Phone Number: 516-323-3108
LinkedIn: www.linkedin.com/in/alexander-chan-360774a9
Office location: Casey 103
Biography:
Dr. Alexander Chan (Alex) was originally from Hong Kong, but his formative years were spent in England.
After completing his PhD in Artificial Intelligence at Cardiff University in 1996, he embarked on his first academic career as Research Associate there. Having taught at both undergraduate and postgraduate levels and conducted European Union-funded research projects for 3 years, Alex started seriously contemplating venturing into the business world. At the time he was intrigued by how business deals were made in the commercial world.
In the late 1990s he joined the mobile technology industry. For over 15 years he took a series of senior roles in sales and marketing with leading British and European companies.
From 2004 to 2012, Alex was VP of Sales for Asia Pacific, initially for a Finnish company Elektrobit and subsequently for a Swedish company Teleca. He held overall P&L responsibility for the APAC region. The customers managed by Alex in those days included well-known multinationals such as Google, Samsung, LG, Nokia, Motorola, Microsoft, Toshiba, Panasonic, HTC, Lenovo, Huawei and China Mobile. The valuable business experiences that he gained from that period include how to run a business unit profitably, conduct successful contract negotiations, and lead teams with diverse cultural backgrounds.
In 2014 Alex joined the University of Hong Kong, and he became Head of Centre for Management and Innovation at the Institute for China Business. He also held the position of Principal Lecturer teaching Management, Strategy, Leadership and Innovation.
In his tenure at the University of Hong Kong from 2014 to 2018, Alex provided teaching and training to over 1,200 business executives in Mainland China. In the process, he learned how to deliver his teaching by combining thought leadership and real-life business practicality.
Alex started running his own consulting business in 2019, providing corporate training and consulting services, on wide ranging topics such as Business Strategy, Management, Leadership, Innovation and Design Thinking, to companies such as Estee Lauder, Haitong International, ICBC, Bank of Singapore and Hong Kong Productivity Council. It was a pleasure for Alex to be able to help his clients solve pressing business issues and raise their productivity.
In 2023 Alex joined Molloy University as Assistant Professor of Business Analytics. He is dedicated to creating value for both the students and the institute.
Courses Taught:
- Quantitative Analysis
- Perspectives on Strategy
Research Interests:
- Business and Data Analytics
- Artificial Intelligence
- Digital Transformation
- Leadership
- Business Strategy
- Fintech
- Industry 4.0
Selected Publications and Presentations:
Pham DT, Chan AB. Control chart pattern recognition using a new type of self-organizing neural network. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering. 1998;212(2):115-127. doi:10.1243/0959651981539343
Pham DT, Chan AB. Unsupervised adaptive resonance theory neural networks for control chart pattern recognition. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 2001;215(1):59-67. doi:10.1243/0954405011515136
Pham, D.T., Chan, A.B. (1998). A Novel Self-organising Neural Network for Control Chart Pattern Recognition. In: Chawdhry, P.K., Roy, R., Pant, R.K. (eds) Soft Computing in Engineering Design and Manufacturing. Springer, London. https://doi.org/10.1007/978-1-4471-0427-8_42
Pham, D.T., Chan, A.B. (1999). A Synergistic Self-Organizing System for Control Chart Pattern Recognition. In: Advances in Manufacturing. Advanced Manufacturing. Springer, London. https://doi.org/10.1007/978-1-4471-0855-9_11
