September 23-24, 2016, Texas A&M University Campus
We’ve reached max capacity! Registration is now closed.
Organizers:
Bani K. Mallick, Susan M. Arseven `75 Chair in Data Science & Computational Statistics & Distinguished Professor, TAMU Statistics
Nick Duffield, Professor, TAMU Electrical and Computer Engineering
Organizing Committee:
Raymond J. Carroll, Jill and Stuart A. Harlin ’83 Chair in Statistics & Distinguished Professor, TAMU Statistics
Akhil Datta Gupta, L.F. Peterson ’36 Chair, Regents Professor & Associate Department Head, TAMU Petroleum Engineering
Yu Ding, Mike and Sugar Barnes Professor, TAMU Industrial and System Engineering
P.R. Kumar, Engineering Chair & Distinguished Professor, TAMU Electrical and Computer Engineering
Ravi Sen, Assoicate Professor, TAMU Information and Operation Management
Venkatesh Shankar, Coleman Chair & Professor, TAMU Marketing
Dilma Da Silva, Ford Motor Company Design Professor & Department Head, TAMU Computer Science
Sponsors:
Keynote Speakers:
Michael Jordan, Pehong Chen Distinguished Professor, University of California, Berkeley
Robert Schapire, Principal Researcher, Microsoft Research
Nilanjan Chatterjee, Bloomberg Distinguished Professor, Johns Hopkins University
Susan Athey, The Economics of Technology Professor, Stanford University
Friday, September 23, 2016
Hawking Auditorium, Mitchell Physics Building
Abstracts for Invited Speakers may be viewed here.
9:00 am
Welcome – Dr. Karan L. Watson, Provost and Executive Vice President for Academic Affairs
9:15-10:15
Keynote Speaker – Michael Jordan, Pehong Chen Distinguished Professor, University of California, Berkeley
“On Computational Thinking, Inferential Thinking and Data Science”
Chair: Bani K. Mallick
10:15-10:30
Break
10:30-12:00
Invited Session – Big Data Modeling and Applications
Chair: Akhil Datta Gupta
Speakers
Pradeep Ravikumar, University of Texas, Austin
“Poisson Graphical Models with Rich Dependence Structures”
Guang Cheng, Purdue University
“Computationally Efficient Nonparametric Testing”
Srikanta Mishra, Battelle Memorial Institute
“Big Data Applications in Petroleum Exploration and Production”
12:00-1:00
Lunch (Invitation Only)
1:00-2:00
Keynote Speaker – Robert Schapire, Principal Researcher, Microsoft Research
“The Contextual Bandits Problem: A Fast, Simple, and Optimal Algorithm”
Chair: P.R. Kumar
2:00-3:00
Keynote Speaker – Nilanjan Chatterjee, Bloomberg Distinguished Professor, Johns Hopkins University
“Developing Predictive Models Using Summary-Level Information from Big Data Sources”
Chair: Raymond Carroll
3:00-3:15
Break
3:15-4:45
Invited Session – Big Data Computing
Chair: Nick Duffield
Speakers
Peter Hofstee, IBM Research, Austin
“Improving Big Data Systems in the Cloud”
T. S. Eugene Ng, Rice University
“The Case for Circuit Switching Big Data in Modern Data Center Networks”
Yong Chen, Texas Tech University
“Decoupled System Architecture and Computation Model for Scientific Big Data Applications”
5:00
Poster Session and Reception (Open to all)
University Club, Rudder Tower
More information will follow regarding participation in the poster session.
6:30
Dinner (Invitation Only)
Saturday, September 24, 2016
Hawking Auditorium, Mitchell Physics Building
9:00-10:30
Invited Session – Big Data Business
Chair: Venkatesh Shankar
Speakers
K. Sudhir, Yale University
“Big Data in Marketing Research: A Prospective View”
Michael Braun, Southern Methodist University
“Scalable Rejection Sampling for Bayesian Hierarchical Models”
P. K. Kannan, University of Maryland
“Marketing Analytics for Unstructured Big Data: Some Illustrative Applications”
Venkatesh Shankar, Texas A&M University
“Using Machine Learning for Customer Lifetime Value Management and Personalization”
10:30-10:45
Break
10:45-11:45
Keynote Speaker – Susan Athey, The Economics of Technology Professor, Stanford University
“Machine Learning and Causal Inference for Policy Evaluation”
Chair: Venkatesh Shankar
11:45-1:00
Lunch (Invitation Only)
1:00-2:30
Invited Session – Big Data Industry
Chair: Yu Ding
Speakers
Aldo Dagnino, ABB Inc.
“Big Data Industrial Analytics”
Brian Hayes, EDP Renewables
“Big Data, Does it Deliver or Is It Hot Air?”
Georgios Pechlivanoglou, Smart Blade, Germany
“Big Data Analysis of High Frequency SCADA Data and High Resolution Image Data in the Field of Wind Energy”
2:30-3:00
Break
3:00-5:00
Tutorials
Introduction to Data Science (BLOC 149) THIS SESSION IS FULL!
James Caverlee, Associate Professor, TAMU Computer Science & Engineering
Introduction to Cloud Computing (BLOC 150)
Dilma da Silva, Department Head, TAMU Computer Science & Engineering
Fully charged laptops are encouraged.
The Data Science tutorial session is full. If you
would like to attend the Cloud Computing session,
please contact Elaine James (elaine@stat.tamu.edu)
Only a few spaces remain in the Cloud Computing tutorial. Registration will officially close on September 9th at 5:00 pm.
(Thursday tutorial at MSC has been cancelled.)
These tutorials will be an introduction to the theoretical foundations, algorithms, and methods of deriving valuable insights from data. Includes foundations in managing and analyzing data at scale (e.g., big data); data mining techniques and algorithms; exploratory data analysis; statistical methods and models; and data visualization.
Tutorials registrations do not register you for the Conference itself. If you would like to attend the Cloud Computing session only, you may still register by emailing Elaine James (elaine@stat.tamu.edu) with the following information:
- First name
- Last name
- Affiliation
- Address
- Email address
- Phone number