Three Questions with Jan Shi

What innovations in data science do you look to share in your keynote address?

The topic of my keynote presentation is “Data Modality, Data Science, and Multistage Manufacturing.” In this talk, I will share my perspective on how the co-evolution of sensing data modality and data science propels the advancement in variation modeling and analysis of multistage manufacturing.

Here, multistage manufacturing refers to multiple machines, stations or operations interconnected to produce a final product. The quality characteristics at one stage are influenced by local variations and variations propagated from upstream operations. Advances in sensing technologies create extensive heterogenous data, highlighting the importance of integrating engineering knowledge with data science methodologies. I will review past R&D efforts and discuss challenges and opportunities in applying AI and machine learning to real-world manufacturing. Industrial projects will illustrate these methodologies and their practical implementations.

How can having the conference in Atlanta highlight the work of Georgia Tech’s ISE department?

The ISyE School will greatly benefit from the Annual Conference in Atlanta. Many faculty and students will attend and present their work, and numerous ISyE volunteers will assist with conference events. Attendees often visit the Georgia Tech campus and our school during their stay, enhancing their understanding of our top-ranked ISE program.

What are your favorite aspects of attending the Annual Conference?

My favorite aspect is reconnecting with old friends and meeting new ones within the ISE community. Additionally, learning about new research topics and trends through sessions and discussions is always exciting. Hosting the conference in Atlanta is especially meaningful, offering opportunities to showcase Georgia Tech’s ISyE and our wonderful city.