CORPORATE TALK SERIES


Paul Tepper

 (Executive Director, NLP (Morgan Stanley))

Bio: Paul Tepper (ph.D. in Technology and Social Behavior, Northwestern University) leads a team of researchers and engineers developing AI, Natural Language Processing (NLP) and Machine Learning (ML) technology in support of Morgan Stanley's Wealth Management business. His team focuses on applications including conversational AI, question and answer systems and information retrieval. Previously he was associated with Nuance communications as the Head of the Technology Advancement Group AI Lab and Product Manager for AI, Machine Learning, and NLU.His Research Interest includes in the field of AI, NLP, Data mining, ML, and many more.


Peter Borovykh

(Co-founder , RoninAi)

Bio: Peter Borovykh is a co-founder of RoninAi. RoninAi project combines Neural Network models for cryptocurrency forecasts, physical hardware Black Box devices managing cryptocurrency portfolios on behalf of RoninAi members, and a blockchain network combining these devices globally to achieve full transparency of portfolio management and risk management analytics.

Peter has been featured in numerous publications such as Forbes, Business Insider, MSN, Yahoo Finance, Bitcoinist, Fortune, and many others. He is the author of "Blockchain Applications in Finance". Peter and his team have published three academic research papers featuring Neural Network predictive capabilities for future price movements of cryptocurrencies. Peter has spoken at conferences on blockchain and crypto markets around the globe, including New York Fintech Week, Blockchain for Wall Street, and many more.
 
 

Title of the Talk: Raspberry Pi revolutionizing IoT. How a Raspberry Pi can combine Artificial Intelligence, Blockchain, and Digital Assets.

Abstract:  The trend towards decentralization has accelerated recently. Enterprises and startups are engineering myriads of B2B and B2C decentralized applications (DApps), but the level of decentralization is still very low. The hunger for smooth user experience led most network participants of DApps to run their nodes on the cloud. For example, 35% of the nodes sustaining the second largest public permissionless blockchain network Ethereum are being run on AWS, Alibaba Cloud, and Google Cloud. On the other hand, nodes of a more computationally intensive Bitcoin blockchain are run on specialized mining machines making Bitcoin the most decentralized and trustworthy project in the world at the moment. In my talk I will discuss a real use case of a decentralized project RoninAi that combines Artificial Intelligence, Blockchain, and Digital Assets embraced by a network of Raspberry Pis strategically distributed amongst global network participants. Especially during these difficult times the world is begging for more decentralization, and Raspberry Pis can enable PoCs and pilots to increase adoption of DApps by the masses.


Vasilis Capoyleas

(Research Director, Phenometry Inc.)

Bio: Vasilis Capoyleas received a first class honors BSc degree in Computer Science, from Imperial College, London, UK, an MS degree in Computer Science from Rutgers University, New Jersey and a PhD degree from the Courant Institute, New York University, New York.

He was a post doctoral research fellow at Purdue University, Indiana and at the Max Planck Institute, Germany.He has several publications in the fields of Discrete Geometry and Computational Geometry.As research director of ALS S.A., he was responsible for the mathematical research and the design of the company's non linear equation and constraint solver software product.

As research director of Phenometry Inc, he is responsible for the mathematical research and the design of the company's free form
surface modeler software product.

Title of the Talk: Free form surface design by laymen using small devices: viability and economic impact.

Abstract: The exterior of a modern car is typical example of a free form surface. Designing such surfaces using existing Computer Aided Design software products is still very difficult and for experts only (actually cars are still designed using physical clay). Phenometry developed the software product Phi, based on new and proprietary mathematics. Phi makes the design of free form surfaces dramatically easier and even viable for laymen without bulky and expensive hardware tools. We present Phi and discuss its expected economic impact, with emphasis on the low end market segment of laymen using small devices.

 


Important Deadlines

Full Paper Submission:28th September 2020
Acceptance Notification: 9th October 2020
Final Paper Submission:19th October 2020
Early Bird Registration
16th October 2020
Presentation Submission: 25th October 2020
Conference: 28th -31st October 2020

Previous Conferences

 

IEEE UEMCON 2019


IEEE UEMCON 2018


IEEE UEMCON 2017

 

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Announcements

• Conference Proceedings will be submitted for publication at IEEE Xplore® digital library .

• Best Paper Award will be given for each track.

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