With a practical and strategic approach, our PhD program will provide you with the essential tools to implement solutions based on artificial intelligence. This will allow you to generate a significant impact both in your organization and in the global industry. With a practical and strategic approach, our PhD program will provide you with the essential tools to implement solutions based on artificial intelligence. This will allow you to generate a significant impact both in your organization and in the global industry.

Strengthen your teaching career with our PhD. This program prepares you to integrate the latest AI technologies with advanced educational methods, revolutionizing the way teaching and learning are done in the virtual environment. Learn to design, implement and evaluate educational solutions that optimize learning processes through soft skills training with our Step Up Journey Into Success - SUJIS program!

The Artificial Intelligence Thrust Area under the Information Hub at HKUST(GZ) is established to project and grow HKUST’s strength in AI and contribute to the nation’s drive to become a world leader in AI.

Artificial intelligence (AI) can be harnessed to develop predictive models of potential climate change impacts and mitigation/adaption measures in a variety of application contexts. In this four year, funded Ph.D. project, predictive analytic models will be developed to estimate the probable range of morbidity, mortality, productivity, resource/environmental, economic, and animal welfare impacts associated with extreme heat events for each livestock species in British Columbia, Canada, under current climate change projections, and to assess the potential benefits/trade-offs associated with scenarios for heat stress risk monitoring and mitigation technology implementation.

The Alma Mater’s Ph.D. in Applied AI is deeply research-oriented and aims to shape the next generation of innovators, researchers, and thought leaders who will drive the future of AI technology. Doctoral candidates will get an opportunity to work on a variety of projects under the mentorship of our distinguished faculty. Doctoral supervisors include members of the European Academy of Sciences and Arts, which unites two thousand leading scholars, 34 of whom are Nobel Prize winners.

The livestock sector faces increasing pressure to identify and adopt strategies to reduce resource use and environmental impacts so as to maintain social license within the context of sustainable production and consumption. While relatively efficient in terms of environmental outcomes per unit of product compared to other livestock species, the scale and projected increase in production in the global egg sector necessitates concerted efforts towards achieving this goal. Predictive analytics using artificial intelligence (AI) techniques provide novel and potentially powerful meanings of integrating and parsing diverse data streams from the poultry sector. This four year, funded Ph.D. project will answer this challenge by (1) preprocessing Canadian egg industry data through tasks such as outlier identification and prediction of missing data, which makes data streams suitable for AI techniques; (2) identifying or developing, validating, and implementing the best selected AI techniques; and (3) utilizing lifecycle-based, multi-criteria assessment methods in order to improve sustainability decision support in the Canadian egg industry.