2013 Open House Schedule

8:30 am Registration and Continental Breakfast

Memorial Hall

9:00 am Welcome and Awards:

Johnson Great Room

  • Welcome, Brian Herman, Vice President for Research
  • State of Department, Vipin Kumar
  • Introduction of Rebecca Schatz
  • Presentation of DAA award, Vipin Kumar
  • Remarks from Rebecca Schatz
  • Intro to the days events, posters, keynote, lunch and afternoon program, Vipin Kumar
9:30 am Posters session

Memorial Hall

11:30 am Keynote address from Ron Kohavi:

Johnson Great Room

Online Controlled Experiments: Introduction, Insights, Scaling, and Humbling Statistics

The web provides an unprecedented opportunity to accelerate innovation by evaluating ideas quickly and accurately using controlled experiments (e.g., A/B tests and their generalizations). From front-end user-interface changes to backend algorithms, online controlled experiments are now utilized to make data-driven decisions at Amazon, eBay, Facebook, Google, Intuit, LinkedIn, Microsoft, Netflix, Yahoo, Zynga, and at many other companies. While the theory of a controlled experiment is simple, and dates back to Sir Ronald A. Fisher’s experiments at the Rothamsted Agricultural Experimental Station in England in the 1920s, running online controlled experiments at scale—hundreds of concurrent experiments on a given day at Bing---has taught us many lessons. We provide an introduction, share real examples, key insights, cultural challenges, scaling challenges, and humbling statistics.

1:00 pm Sandwich buffet and poster session continued

Memorial Hall

2:30 pm Big Data Technologies and Applications Panel Discussion

Ski-U-Mah Room

As organizations increasingly seek to exploit the “big data” they have at their fingertips, the role of analytics and data mining is becoming increasingly important. The goal of this panel is to discuss the following questions:

  • What applications of analytics and data mining have you seen applied to “big data” style problems?
  • In such applications, how did the organizations collect the “big data”? Did they have them already? Or did they have to pro-actively collect them?
  • What kinds of benefits did these organizations get from analysis and mining of “big data”? How did they establish a value proposition for their customers and management?
  • Are there cases in which analytics and data mining did not deliver stellar results – and if so, why?
  • What are organizations looking for in terms of analytics and data mining that current technology falls short on? What are the critical obstacles to be overcome?

Each participant will make a brief position statement at the beginning of the panel discussion followed by a discussion among panelists for about 30 minutes. After this, the floor will be thrown open to the audience for a free flowing discussion.

  • Arun Batchu, Best Buy
  • Professor Snigdhansu Chatterjee, University of Minnesota Department of Statistics
  • Eui-Hong (Sam) Han, VP - Analytics Practice, Persistent Systems

Robotics and Manufacturing Workshop

Johnson Great Room

Recent significant developments in theory, hardware, and software enable successful execution of several challenging tasks in robotics, sensing, and advanced manufacturing. Doing complex surgical tasks remotely, creating competitive manufacturing processes, having autonomous cars in the streets, taking care of the elderly, and understanding the brain are some of the challenging tasks we are facing. The State of Minnesota is at the frontier of some of these challenges with global players like Proto Labs, 3M, Medtronic, Mayo, Honeywell, and Cargill looking for pertinent ideas and human talent. New materials, localization and planning algorithms, embedded systems, high frequency analog/digital circuit design, miniature sensors, sensor networks, big data manipulation, medical surgical systems, wireless systems, distributed systems, networking, intelligent systems, etc. create some unique opportunities. This workshop will present some of the key themes along with opportunities for further research and development. Participants include:

  • Robert Bodor, CTO, Proto Labs
  • Volkan Isler, CSE, University of Minnesota
  • Demoz Gebre-Egziabher, AEM, University of Minnesota
  • Maria Gini, CSE, University of Minnesota
  • Nikos Papanikolopoulos, CSE, University of Minnesota
4:00 pm Event close