STEM Research Ideation Forum, Fall 2019

Thursday, December 12, 2019 | 10:00 a.m.–4:00 p.m.
Richard Weeks Hall of Engineering, Busch Campus

A one-day Research Forum sponsored by the Office of Research and Innovation gathered faculty from across the many schools and departments at Rutgers–New Brunswick. Research Ideation Forums are events for incubating large-scale, interdisciplinary faculty team research projects toward extramural funding submissions that will sustain their future development. These forums provide a venue for gathering peer feedback to improve new research projects in emerging themes, allowing teams to pitch their project idea to an interdisciplinary group of colleagues who join them in a facilitated feedback session.

Agenda of Discussions

10:00–10:30 a.m. Welcome & Forum Vision

Theme I: Sustainable Urban Systems

10:45 a.m. Idea #1: Future Work in an Era of Intelligent Machines and Implications for Sustainable Urban System

  • Idea Leaders: Piyushimita Thakuriah (Bloustein), Midge Cozzens (DIMACS), William Rodgers (Bloustein)

11:30 a.m. Idea #2: Better Buildings

  • Idea Leaders: Clint Andrews (Bloustein), Jie Gong (Civil & Env Eng), Gediminas Mainelis (Env Sciences)

12:15–1:00 p.m. Lunch

1:15 p.m. Idea #3: Long-term Ecological Change in an Urban Estuary

  • Idea Leaders: John Reinfelder (Env Sciences), Bob Chant (Marine & Coastal Sci), Nicole Fahrenfeld (Civil & Env Eng)

2:00 p.m. Idea #4: Rutgers FlexFarm

  • Idea Leaders: A.J. Both (Env Sciences), Xenia Morin (Plant Biology)

Theme II: Innovations in Artificial Intelligence

10:45 a.m. Idea #5: AI and Augmented Learning

  • Idea Leaders: Matthew Stone (CS), Janice Gobert (GSE), Patrick Shafto (Math & CS, Rutgers–Newark)

11:30 a.m. Idea #6: AI and Ethics

  • Idea Leaders: Vivek Singh (SCI); Sara Pixley (RuCCS), Lazaros Gallos (DIMACS), Kristin Dana (Electrical & Computer Eng)

12:15–1:00 p.m. Lunch

1:15 p.m. Idea #7: Foundations of Machine Learning

  • Idea Leaders: Dimitris Metaxas (CS), Sungjin Ahn (CS), Konstantinos Michmizos (CS), George Moustakides (CS)

2:00 p.m. Idea #8: Mind the Gap: Domain-agnostic Machine Learning and Knowledge-rich Sciences and Engineering

  • Idea Leaders: Narayan Mandayam (Electrical & Computer Eng), Waheed Bajwa (Electrical & Computer Eng)

3:00–4:00 p.m. Reconvening and Summary Discussion

4:00 p.m. Networking Reception