Dr. Jamal Ouenniche, Professor & Chair in Business Analytics, University of Edinburgh Business School is the guest speaker in this new interview series for citiesabc. Asked by citiesabc founder Dinis Guarda, Dr. Jamal Ouenniche discuss from an academic point of view the role of academia and education in today’s business analytics, data and AI machine learning models and how important it is to create links, build relationships and utilize prominent researches in data and business analytics to thrive and drive business and innovation. And all of that in a convoluted world dominated by a global pandemic and the prospect of an economic recession.
INTERVIEW STRUCTURE
1. Profile overview: Academic and Professional career
2. Education, PhD and research focus
3. Role in Edinburgh University
4. How does Dr Jamal Ouenniche see business data, AI, machine learning, technology and education
5. The role of Data, smart cities in the present global technological developments
6. How do you see AI, Blockchain, 5G tech and AI working together
7. The role of Edinburgh University and research in innovation and digital transformation
8. The circumstances of COVID-19 and the effects in the world education, economy and tech economies
9. How business data ownership and research can be optimized to avoid a data arms race
10. Highlight some of the case studies of usages of business data for good and best practices
Dr. Jamal Ouenniche Biography
Dr Ouenniche is Professor and Chair in Business Analytics at the University of Edinburgh Business School (UK), Member of the Business School Executive Board, Head of the Management Science and Business Economics group, and Director of the MSc in Business Analytics. He holds BSc. in Mathematics and MSc. in Operational Research from the University of Montreal (Canada), and PhD in Operations Management from Laval University (Quebec, Canada).
His research portfolio encompasses a broad range of applications and a variety of research methodologies in descriptive, predictive and prescriptive analytics, and tackles important managerial issues in energy, manufacturing, transport, banking, and public sector policy. Some of his research is concerned with methodological contributions to the fields of optimization, artificial intelligence, data envelopment analysis, risk modelling and analysis, and forecasting.
Dr. Jamal Ouenniche acts as a Referee for over 25 academic journals, several international conferences, and several national and foreign research councils (e.g., ESRC - The Economic and Social Research Council of the UK; SSHRC - The Social Sciences and Humanities Research Council of Canada; FCT - The Foundation for Science and Technology - the Portuguese public research funding agency; GACR - The Czech Science Foundation - the main public funding agency in the Czech Republic).
He is also a Member of the Editorial Board of eight academic journals and is an Associate Editor of Journal of Optimization Theory and Applications. His research is published in Operations Research; European Journal of Operational Research; Computers and Operations Research; Journal of Optimization Theory and Applications; Expert Systems with Applications; International Journal of Operational Research; Journal of the Operational Research Society; Annals of Operations Research; International Journal of Production Economics; International Journal of Production Research; Technological Forecasting and Social Change - An International Journal; International Review of Financial Analysis; Applied Financial Economics; Applied Economics Letters; Energy Economics; Applied Energy; and The Journal of Developing Areas, amongst others.
His teaching experience is international and covers a wide range of areas such as Operations, Logistics, and Supply Chain Management; Operational Research, Management Science and Business Analytics; Business Statistics and Methods of Research; and Business Forecasting.
- www.research.ed.ac.uk/portal/...
- www.business-school.ed.ac.uk/...
- www.researchgate.net/profile/...
- www.linkedin.com/in/ouenniche...
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