CEWIT2019 Schedule

7:30am

Continental Breakfast & Check-In

8:15am

Interim President Michael A. Bernstein, PhD-  Stony Brook University

Opening Remarks 

8:30am

Shantenu Jha, PhD- Brookhaven National Laboratory

The Power of Many: The Next Frontier

8:50am

Tomi Teikko- Tieto Corporation

Empathic Reality (ER) - human-centric content in virtual and augmented reality

9:10am

Achille Fokoue- IBM

Unifying Learning and Reasoning

9:30am

Peter Beling, PhD- University of Virginia

A Systems Theoretic Perspective on Transfer Learning

9:50am

Hidekazu Taoka, PhD- DOCOMO Healthcare, Inc.

Expectation and Reality of Japanese Health Tech Market

10:10am

BREAK

10:30am

Ambassador Ido Aharoni- New York University, Emerson Rigby, Ltd

Marketing in the Age of the New Participant

10:50am

Joseph Jankowski, PhD- Henry Ford Health System

What it Will take to Realize the Promise of Big Data, Connectivity and Machine Learning in Healthcare

11:10am

Daniel Holewienko- Henry Schein Inc.

 The Drive to Healthcare 4.0 through Big Data, Analytics, ML, Cloud, and IoT Enablement

11:30am

Steve Skiena, PhD- Stony Brook University

 Word and Graph Embeddings for Machine Learning Models

11:50pm

LUNCH

1:00pm

Florence D. Hudson- FDHint, LLC

Harnessing Advanced Technology Innovations Today and into the Future 

1:20pm

Pekka Abrahamsson, PhD- University of Jyvaskyla

Implementing Ethics in AI

1:40pm

Steve Rogers- IBM

Blockchain in Practice - Beyond the Hype

2:00pm

Dan Wang, PhD- The Hong Kong Polytechnic University

Industry AIOps: Case Studies and Experiences in Data Driven Industry Operations

2:20pm

Voramon Dheeradhada, PhD- GE Global Research

 Machine Learning Method for Parameter Development

2:40pm

BREAK

3:00pm

Pat Narendra, PhD- Zebra Technologies

Augmented Reality Extended: Beyond games and novelty to creating value in the Enterprise

3:20pm

Raju Gottumukkala, PhD- University of Louisiana at Lafayette

VAStream: A Visual Analytics System for Fast Data Streams

3:40pm

Ali Asmari, PhD- ULC Robotics

Utilizing Machine Learning to Solve the Challenges of the Energy Industry

4:00pm

James Xiaojiang Du, PhD- Temple University

e-SAFE: Secure, Efficient and Forensics-Enabled Access to Wireless Implantable Medical Devices

4:20pm

Panel Moderated by The New York Academy of Sciences

A.I. and Climate Change: Improving Prediction, Measuring Impact, and Driving Adaptation

5:20pm

Networking Reception 

Join us in the CEWIT Lobby for a Networking Reception with great food!