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NJ Tech Council Innovation Showcase: 3D Printing, Machine Learning Algorithms & Robotics
May 16 @ 3:00 pm - 7:00 pm EDT
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 Studies, Rowan University
Fatima Ebrahimi, Research 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
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
5:10 – 5:15 Inventory Management and Visibility, B. Bender, DigitalBins.com5:15 – 5:20 Innovations in MedTech and Unmanned Vehicles, O. Hernandez, A-WIT
5:20 – 5:25 Adaptive robots for logistics and manufacturing, Kostas Bekris, Rutgers University