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Program

Sept. 25 - 27, 2019

Wednesday, September 25 - Tutorials and Predict-a-Thon

TimeEvent
8:00 am

Registration

Oklahoma Memorial Union Ballroom

9:00 - 10:00 am

Introduction to Python for Data Analysis

Oklahoma Memorial Union Ballroom

Tutorials: Python, Scikit-Learn, Deep Learning, Dataiku

10:00 am - noon

Introduction to Scikit-Learn and Pandas

Oklahoma Memorial Union Ballroom

12:30 - 4:00 pm

Deep Learning and Convolutional Neural Network

Locaion TBD

4:00 - 7:00 pm

Dataiku for Solving Prediction Problems

Location TBD

7:00 - 8:00 pm

Predict-a-Thon Launch

Machine learning and data science competition

Location TBD


Thursday, September 26 – INDUSTRY DAY

Industry Day is dedicated to facilitating conversations between the campus community and representatives from companies who provide AI/ML/DS services or use these services as a component of their business.

Location: Oklahoma Memorial Union, 900 Asp Ave, Norman

Parking: Available in the OMU Parking Garage ($14 maximum) or at the First Presbyterian Church ($4/day, 555 S University Blvd, Norman)

Dress: Business casual

TimeEvent
8 am

REGISTRATION

Meacham Auditorium, Memorial Union

9-9:30 am

WELCOME AND GOALS

Meacham Auditorium, Memorial Union

  • Andrew H. Fagg
    School of Computer Science
    Institute for Biomedical Engineering, Science and Technology
  • John Antonio
    Gallogly College Interim Dean
  • Sridhar Radhakrishnan
    School of Computer Science Director
    Data Science Program Co-Director
  • Deepak Devegowda
    Mewbourne College of Earth and Energy
  • Keith Tarter
    OU Class of 1981
9:30 am-4:30 pm

TALKS FROM INDUSTRY LEADERS

Meacham Auditorium

9:30-10 amClosing the Gap
Discovering the Art in Data Science
Business Impact @ American Fidelity

Mark Nance, VP and Chief Data Officer, American Fideliity

10-10:30 am

How to Solve Problems
Lessons Learned from being a Data Scientist

Megan Oftedal, Senior Data Scientist, American Fidelity
10:30-11 am

ConocoPhillips

11-11:30 amTaking Baseball’s Lead to Oil and Gas - Data Analytics is Changing the Game for the Oil Field
Trey Lowe, Vice President of Technology, Devon Energy
11:30 am-12:15 pm

INDUSTRY PANEL: AI is a Team Sport

David Clausen
Lead Data Architect, Enable Midstream Partners
Mark Nance
VP and Chief Data Officer, American Fideliity
Megan Oftedal
Senior Data Scientist, American Fidelity

Panel Facilitator: Keith Tarter

12:15-1:30 pmLUNCH: Sponsor Talks
Oklahoma Memorial Union Courtyard

Technical Talks – Parallel Talk Tracks

1:30-4:30 pm:  TECHNICAL TALKS: INDUSTRY PRESENTATIONS
Parallel Talk Tracks - each lasting 30 minutes and located in rooms next to each other

TimeTrack OneTrack Two
1:30-2

Michael Pankaj Agarwal
Hertz Corp
How Cloud Computing
Will Change Big Data,
AI and ML

Pavan K. Vankadaru
CIO, RandomTrees
Leveraging Artificial Intelligence
to Improve Farm Productivity
and Profitability
2-2:30Vikram Jayaram
Pioneer Natural
Resources Company
Predictive Analytics in
Well Operations
Sree Ram
Microsoft
Democratizing AI
A Developers Perspective
2:30-3David Clausen
Lead Data Architect,
Enable Midstream Partners
A Day in the Life of Data
(Nested Life Cycles and Data Quality)
Kelley France
American Fidelity
Got Milk? Modeling a Dairy Allergy:
Oral Immunotherapy and
the Immune Response
3-3:30Daniel M. Farrell
Enterprise Solution Architect, DataStax
ML with Graph for a
Recommendation Engine
Jessica Lee
Sonic
Buy till you die: Predicting attrition
in non-contractual customers
3:30-4David Gillen
Precocity
AutoML: What It Can and
Can’t Do to Prove Value
David Robinson
Devon Energy
Classifying Thin Section Cuttings
using Deep Learning
4-4:30Sean Owen
Databrick
Detecting Bias with SHAP:
What do Developer Salaries
Tell us about the Gender Pay Gap?
Graham Ganssle
Expero
Model Interpretability and Building
User Trust in Machine Learning Systems

Reception

4:30-5:30 pm: Beaird Lounge, Memorial Union

 

Two Data Science Challenges

Bring your own laptops!

TimeTrack One: StudentsTrack Two: Industry Repre
5:30-8:00 pm

Predict-a-thon Wrap-Up

Register a team

Corporate Industry Day Challenge

Register 

Friday, September 27 – RESEARCH DAY

Research Day is dedicated to facilitating conversations among faculty, researchers, staff and students on the OU campuses and affiliated research organizations.

TimeEvent
8:00 am

Registration

Meacham Auditorium, Memorial Union

9:00 am

Welcome and Goals

Meacham Auditorium

  • Andrew H. Fagg
    School of Computer Science
    Institute for Biomedical Engineering, Science and Technology
  • John Antonio
    Gallogly College Interim Dean
  • Sridhar Radhakrishnan
    School of Computer Science Director
    Data Science Program Co-Director
9:20 am

Machine Learning Applications for Subsurface
Imaging in Geophysics

Prof. Heather Bedle
School of Geosciences
University of Oklahoma

Co-authors: Julian Chenin, Karelia La Marca Molina,
David Lubos-Robles, Roberto Clairmont, Carl Buist

9:40 am

Making the Black Box More Transparent:
Understanding the Physical Implications of
Machine Learning

Prof. Amy McGovern
School of Computer Science
University of Oklahoma

Co-authors:  David J. Gagne II, Ryan Lagerquist,
Kim Elmore, and Eli Jergensen

10:00 am

Weather Radar Quantitative Precipitation Estimates
from a Convolutional Neural Network

Micheal Simpson
Cooperative Institute for Mesoscale Meteorological
Studies / National Severe Storms Laboratory
University of Oklahoma / National Oceanic and
Atmospheric Administration

Co-authors: Jian Zhang, Kenneth Howard, Lin Tang

10:20 am

Dust Detection Using Satellite Data and Machine Learning Methods

Prof. Changjie Cai
Occupational and Environmental Health
Hudson College of Public Health, University of Oklahoma

Co-authors: Jangho Lee, Yingxi Shi, Camille Zerfas,
Jianwu Wang, Zhibo Zhang

10:40 amBreak
11:00 am

Machine Learning and Quasars:
Recent Results and New Directions

Prof. Karen Leighly
Homer L. Dodge Department of Physics and Astronomy
University of Oklahoma

Co-authors: Donald Terndrup, Sarah Gallaghe,
Gordon Richards, Hyunseop Choi, Collin Dabbieri,
Collin McLeod , Ryan Hazlett, Alex Kerr

11:20 am

Machine Learning Thermal Transport for Interface Design

Alexander Kerr
Homer L. Dodge Department of Physics and Astronomy
University of Oklahoma

Co-authors: Kieran Mullen

11:40 am

Visual Scanpath Approximation For Training Enhancement:
A Spatio-Temporal Clustering Approach

Saptarshi Mandal
Industrial and Systems Engineering
University of Oklahoma

Co-authors: Ziho Kang

12:00 noon

On Adversarial Examples and Misclassification

Prof. Dimitrios Diochnos

School of Computer Science
University of Oklahoma

Co-authors: Saeed Mahloujifar and Mohammad Mahmoody 

12:20 pm

Poster/Demonstration Session and Lunch

Beaird Lounge, Oklahoma Memorial Union

 

1:45 pm

Panel: AI/ML Resources at OU: Current Capabilities and Needs

Meacham Auditorium, Oklahoma Memorial Union

Panelists:

  • Andrew Fagg: Computer Science
  • Tara Carlisle: University of Oklahoma Libraries
  • Henry Neeman: OU Supercomputing
    Center for Education and Research
  • Chongle Pan: Computer Science, Microbiology and
    Plant Biology
  • Kim Elmore: Cooperative Institute for Mesoscale
    Meteorological
    Studies (CIMMS)

New Project Brainstorming Panels

TimeLocation: Meacham AuditoriumLocation: TBD
2:45 pm

Aspects of Robustness in Machine
Learning and Data Mining

Panelists:

  • Dimitris Diochnos:
    Computer Science
  • Christan Grant:
    Computer Science
  • Le Gruenwald:
    Computer Science
  • Theodore Trafalis:
    Industrial Systems Engineering

Application of AI/ML in Biomedical and
Clinical Informatics

Panelists:

  • Chongle Pan:
    Computer Science, Microbiology
    and Plant Biology
  • Dee Wu:
    Radiological Sciences
  • Franklin Hays:
    Biochemistry & Molecular Biology
  • Chris Williams:
    OU Health Sciences
3:45 pm 

Using AI/ML to Model Neuromotor
Behavior in Large Data Sets

Panelists:

  • Andrew Fagg:
    Computer Science
  • Thubi Kolobe:
    Rehabilitation Sciences
  • Hongwu Wang:
    Rehabilitation Sciences
  • Carol Dionne:
    Rehabilitation Sciences
  • Masoom Desai:
    Neurology
4:45 pmEnd