FOPAM Conference Overview

FOPAM aims to be the premier forum for researchers from industry and academia to discuss the current status and future directions of data analytics and machine learning in the process industries. The conference will promote communication and interaction among all participants.

Conference Format

The conference will be preceded by an optional 1-1/2-day workshop. The conference then begins with an evening opening keynote. In the next three days, AM and PM sessions follow a format of two talks, then the speakers in a panel with an invited discussant for Q&A and serious technical discussions to promote group interactions. Two of the afternoons are open for poster sessions, open-mike discussions, small-group discussions, and other unstructured activities. An evening banquet and rapporteur analyses conclude the conference.

Schedule

Sunday

  • Optional workshop (1 day)

Monday

  • Optional workshop (1/2 day)
  • Evening welcoming reception
  • Conference introduction/overview
  • Keynote: Cenk Ündey, Amgen

Tuesday

  • Continental breakfast provided
  • Morning session: Methods and Software: Victor Zavala, U Wisconsin
  • Lunch provided
  • Afternoon free time and poster session 1
  • [Dinner not provided]
  • Evening session: Industrial Data-Science Applications: Elif Ozkirimli, Roche (Zürich); Detlef Hohl, Shell (Houston)

Wednesday

  • Continental breakfast provided
  • Morning session: ML for Process Chemistry: Zachary Ulissi, Carnegie Mellon; Kristen Severson, Microsoft
  • Lunch provided
  • Afternoon free time and poster session 2
  • [Dinner not provided]
  • Evening session: Analytics and Machine Learning in Manufacturing: Salvador Garcia, Eli Lilly; Bea Braun, Dow Chemical

Thursday

  • Continental breakfast provided
  • Morning session: Decision-Making: Rolf Findeisen, TU Darmstadt
  • Lunch provided
  • Afternoon session: Past and Future of PA & MLVenkat Venkatsubramanian, Columbia; John Hedengren, BYU
  • Evening conference banquet with after-dinner comments by two rapporteurs

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