Innovation Showcase: 3D Printing, Machine Learning Algorithms & Robotics

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Name: Innovation Showcase: 3D Printing, Machine Learning Algorithms & Robotics
Date: May 16, 2019
Time: 3:00 PM - 7:00 PM EDT
Registration: Sorry, public registration for this event has been closed.
Event Description:
Walk-ins are welcome. 

Rapid technological change is transforming the production of goods and services throughout much of the global economy. This transformation will accelerate rapidly, as we are still only in the early stages of the curve. Some of these technologies include 3D Printing, machine learning algorithms and advanced robotics.

The true power of these technologies lies in their convergences with one another. Understanding and planning for such convergence is the key to unlocking the highest value of future production systems.
For government and corporate leaders, the future of production is arriving more swiftly than many realize, and demands the rapid assessment, support and adoption of appropriate technologies.  Join us on May 16 at Siemens Corporate Technology in Princeton for a special Innovation Showcase on these technologies and rapid-fire presentations on projects that researchers and companies (including Siemens) are working on in these areas.

3 - 4 pm - Tours of Siemens Living Labs, including its Future Automation Lab, will be offered.

4:15 - 5 pm Panel "Research in the Next Decade"

Craig Arnold, Professor & Director, Princeton Institute for the Science & Technology of Materials, Princeton University
Nidhal Bouaynaya, Professor and Associate Dean for Research and Graduate StudiesRowan 
University
Fatima EbrahimiResearch Physicist, Princeton Plasma Physics Lab

Dave Rapaport, Head of Research & Collaboration Management US, Siemens Corporate Technology

5 pm – 6 pm Concurrent Presentations

Session A: 3D Printing 
5:05 – 5:10 - The role of 3D Printing in Advanced Manufacturing, T. Farnan, Cimquest
5:10 – 5:15 - Additive Manufacturing Applications in Solar Racing, Anothony Scalia, Rutgers University
5:15 - 5:20 - 
New Approach for 3-D Printing - Metal Alloys, Engineering Ceramics and Composites, A. Lobovsky, United Materials Technology
5:20 – 5:25 - Self-Limiting Electrospray Deposition for 3D Post-Processing, J. Singer, Rutgers
5:25 – 5:30 - Advancing Mfg. thru Additive Mfg., T. Farnan, Cimquest
5:30 – 5:35 - Multiplexed Optogenetic Control for 3D Bioprinting, A. Goun, Princeton University
5:35 - 5:40 - 
On-Demand Manufacturing with Additive in the Real World, Gerry Libertelli, buildPl8 Manufacturing

Session B: Machine Learning Algorithms

5:05 – 5:10    Visual Machine Awareness, Kuan-Chuan Peng, Siemens Corp. Tech
5:10 – 5:15    Living Lab Food, N. Singna, Siemens Corp. Tech
5:15 – 5:20    Easy Spares – complete spare part logistics for railways, E. Arisoy, Siemens Corp. Tech
5:20 – 5:25    Using Generative Adversarial Networks (GANs) to generate OT data, S. Rahmat, Siemens
                         Corporate Technology
5:25 – 5:30    Machine Learning Techniques to Assess Kidney Disease, R. Iyengar
                          Smirta Innovations Inc.

5:30 – 5:35    Machine Learning Powers FinTech Applications, D. Dube, Datanomers
5:35 5:40     New Approach for 3-D Printing - Metal Alloys, Engineering Ceramics and  Composites, A.                         Lobovsky, United Materials Technology

Session C: Robotics
 
5:05 – 5:10    Automation and Robotics - Changing the Face of Manufacturing, S. Tracey, The Knotts                             Company
5:10 – 5:15    Inventory Management and Visibility, B. Bender, DigitalBins.com

5:15 – 5:20    Innovations in MedTech and Unmanned Vehicles, O. Hernandez, A-WIT       
                            Technologies, Inc.
5:20 – 5:25    Adaptive robots for logistics and manufacturing, Kostas Bekris, Rutgers University

Emerging Technologies Industry Network Sponsor:



 
Location:
Siemens Corporate Technology
755 College Road East
Princeton, NJ 08540
Contact Information:
Fees/Admission:
NJ Tech Council Members: $20.00
Future Members: $40.00
Set a Reminder:
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