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DTSTART;TZID=UTC:20241211T101500
DTEND;TZID=UTC:20241211T110000
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CREATED:20241127T081836Z
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SUMMARY:AI in CHEM Seminar Series: AI for the Energy Transition with Árpád Toldy
DESCRIPTION:This talk is part of the “AI and Machine Learning in Chemical Research and Industry” Seminar Series organized by the Aalto University School of Chemical Engineering. It is open to all members of the public. Registered students in course CHEM-E4190 can also obtain 1cr by attending the seminars and completing the assignments. \nDate and location\n\nWednesday 11 December 2024 @ 10:15-11:00\nA304 Ke2 lecture hall in the main building of the School of Chemical Engineering\, Kemistintie 1\, 02150 Espoo.\n\nAgenda\n\n10:00-10:15. Setup and brief info for the registered students.\n10:15-11:00. Seminar by Árpád Toldy\, lecture hall A304.\n11:00-onwards. Coffee\, netwoking and mingling in the lobby adjacent to the lecture hall.\n\nSeminar info\nUsing AI to boost the Energy transition \nAs renewable fuels enter the market\, their blending with existing components must be understood to facilitate their integration into existing infrastructure. Borne out of this necessity\, the Digifuels project (a collaboration between Neste and Aalto’s Research Group of Energy Conversion and Systems) took on the task to build a robust fuel blend property prediction pipeline that could work with real refinery data. This seminar will share the key findings of Digifuels work package 1 – both in terms of science and of managing a successful industrial collaboration. In addition\, the seminar will briefly cover other data-driven efforts in the group related to future fuels. More on Digifuels: https://www.aalto.fi/en/news/collaboration-with-aalto-brings-significant-financial-benefits-to-neste. \nAbout the speaker\nÁrpád is a Project Specialist at Aalto University’s Research Group of Energy Conversion and Systems (Prof. Annukka Santasalo-Aarnio’s team) where he conducts and supervises a broad range of research related to future energy carriers. His endeavors into data-driven approaches include predicting fuel blend properties\, optimizing the production of green hydrogen\, and predicting new catalysts for the production of green fuels and chemicals. In addition\, Árpád is involved in experimental\, techno-economic and social acceptance studies of renewable fuels. He earned his PhD in Chemical and Pharmaceutical Engineering from Singapore-MIT Alliance and worked for 6 years in the pharmaceutical industry before joining Aalto.
URL:https://ocamm.fi/event/ai-in-chem-seminar-series-ai-for-the-energy-transition-with-arpad-toldy/
LOCATION:Aalto University\, School of Chemical Engineering\, Kemistintie 1\, Kemistintie 1\, Espoo\, 02150\, Finland
ORGANIZER;CN="Miguel Caro":MAILTO:miguel.caro@aalto.fi
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