CORPORATE TALK SERIES
(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.
(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.
(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.
|Full Paper Submission:||31st August 2020|
|Acceptance Notification:||2nd October 2020|
|Final Paper Submission:||12th October 2020|
|Early Bird Registration:||15th October 2020|
|Presentation Submission:||20th October 2020|
|Conference:||28th -31st October 2020|
• Conference Proceedings will be submitted for publication at IEEE Xplore® digital library .
• Best Paper Award will be given for each track.
• Conference Record No