Advances in Big Data Modeling, Computation and Analytics Conference

Conference on Advances in Big Data Modeling, Computation and Analytics

September 23-24, 2016, Texas A&M University Campus

 

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, Associate 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:

IAMCS logo

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ENGINEERING_logo_HMaroon

 

 

 

 

 

 

Southeastern Texas logo

 

 

 

 

 

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 some of the Invited Speakers may be viewed here.

 

9:00 am
Welcome – Dr. Karan L. Watson, Provost and Executive Vice President

 

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 SpeakerNilanjan 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

 

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) 
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.

 

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Registration is closed for both tutorial sessions.

 

(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.

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