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Adventures in interdisciplinary research, what goes right/wrong and ways to avoid pitfalls

Date: 
January 5, 2017
Abstract: 

As our knowledge grows and our minds expand, the problems we undertake become more complex and intertwined. Seriously, the easy things have been resolve; it’s time to move on to the tough stuff. Computer and information technology has been a huge enabler of this intricate intermingling of problems and solutions. Things which used to be far too complex are now possible with technological assistance. However, answers beg new questions and even more relationships. John Carlis routinely collaborates with students and colleges in computer science, engineering, and many other disciplines.

Directions: 

Directions can be found on the map of the Electrical Engineering/Computer Science Building.
Check out the detailed map by clicking the “close up” button.

Room: 

Keller (EE/CS) 3-111 (Look for signs)

This Month's Meeting
Program Manager: 
Anthony Harder – Integration Architect - Hazelden Betty Ford Foundation
Speakers: 
Prof. John Carlis, Computer Science and Engineering, UoM
Topic: 
Adventures in interdisciplinary research, what goes right/wrong and ways to avoid pitfalls
Location: 
University of Minnesota, Keller Hall
Schedule: 

5:30 - 8:00 p.m. at The University of Minnesota
5:30 start for networking, 6:15 start of meeting

Parking: 

We have reserved parking at the Washington Avenue Ramp! If there is event parking, tell the parking attendant when you enter that you have a reservation with TwinSPIN. If there is no event parking, take a ticket and tell the parking attendant when you leave that you have a reservation with TwinSPIN.

Speaker Bio: 

John Carlis is professor of computer science at the University of Minnesota. His area of expertise and interest is database management systems (DBMS), data modeling, and database language extensions. Additionally, he participates in cross-domain, interdisciplinary research in bio-medical and visualization applications using DBMS skills and techniques. He seeks new ways to analyze and visualize data balancing theoretical principles with practical implementations. John has multiple publications and refereed journal and conference papers.