March 2023 - Ececourtesy-list

Seminar: Role of AI and Data Science in Chemical and Materials Manufacturing and Research, David Parrillo, Global Dow Center
by Hegewald, Lynn P 06 Apr '23

06 Apr '23

Please join us for the following seminar; details attached. Topic: Role of AI and Data Science in Chemical and Materials Manufacturing and Research Speaker: David Parrillo, Packaging & Specialty Plastics and Hydrocarbons, Global Dow Center Thursday, April 6, 9:30 AM ET Zoom<https://purdue-edu.zoom.us/j/97859677419> Abstract Artificial intelligence and machine learning are revolutionizing the approach to chemical and materials manufacturing and research. Chemicals and materials impact daily life, including enabling modern healthcare, preservation of food, delivering performance and efficiency of transportation and infrastructure, and other sustainable applications. This talk will focus on the use of these tools, and more broadly data science, in R&D, manufacturing, and supply chain in the chemicals industry. The opportunities and forward challenges in the space will be discussed. Lynn Hegewald ECE Master's Program Manager Elmore Family School of Electrical and Computer Engineering Office: 765-496-3476 [72DF7C19]<https://www.purdue.edu/?utm_source=signature&utm_medium=email&utm_campaign=…>

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Seminar: Prith Banerjee, CTO Ansys, on Digital Twins, 3/31
by Hegewald, Lynn P 31 Mar '23

31 Mar '23

Please join us for the following seminar: Seminar: Digital Twins Prith Banerjee, CTO Ansys Friday, March 31, 2023, 9:30 AM ET Zoom link<https://purdue-edu.zoom.us/j/98420572376> Abstract: Various industries, such as manufacturing, energy and utilities, automotive, aerospace and defense, logistics and transportation, and building management, have proposed the use of digital twins to aid the design, analysis, build, manufacturing and operations phases of asset-intensive industries. Digital twins have a physical asset, a virtual asset (a simulation model of the asset), and a two-way information flow between the physical and virtual worlds using an IOT platform. While most companies use data-based analytics and machine learning to build digital twins, they require a lot of training data, and the accuracy is limited to the observed data. Some industries have started using physics-based simulation to build digital twins, and while these approaches are accurate, they require long computation times to deploy. Most recently, companies are using hybrid approaches, combining data-based analytics and physics-based approaches, to build these digital twins that are very accurate and require less training data and drive high operational efficiency of assets and process industries and manufacturing plants. In this talk, we will discuss the challenges and opportunities of digital twins in various industries and the latest research approaches. Full details attached. Lynn Hegewald ECE Master's Program Manager Elmore Family School of Electrical and Computer Engineering Office: 765-496-3476 [72DF7C19]<https://www.purdue.edu/?utm_source=signature&utm_medium=email&utm_campaign=…>

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Faculty candidate seminar - Thursday, April 6 at 10:30 in MSEE 112
by Carte, Lori J 30 Mar '23

30 Mar '23

CANDIDATE REQUESTS CONFIDENTIALITY - IN PERSON ATTENDANCE IS HIGHLY ENCOURAGED [cid:image001.png@01D962F9.9E031080]

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Sandia National Labs Talk: Clayton Hughes and Kevin Pedretti, Principle Members of Technical Staff
by Satterfield, Mary Ann 27 Mar '23

27 Mar '23

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Sandia National Labs Talk: Clayton Hughes and Kevin Pedretti, Principle Members of Technical Staff
by Satterfield, Mary Ann 27 Mar '23

27 Mar '23

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Faculty Candidate Seminar - Tuesday, Mar. 28th
by Carte, Lori J 22 Mar '23

22 Mar '23

IN PERSON ATTENDANCE IS HIGHLY ENCOURAGED [cid:image001.png@01D95CB8.2E1D72C0]

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TODAY, 10:30A, MSEE 239, Software Engineering Candidate Xiaoqi "Danny" Chen, PhD Student, Dept of CS, Princeton: Building Smarter Networks Using In-Network Computing.
by Satterfield, Mary Ann 22 Mar '23

22 Mar '23

[cid:image002.png@01D95C92.809CF190] Mary Ann Satterfield Sr. Administrative Assistant Elmore Family School of Electrical and Computer Engineering Max W. and Maileen Brown Hall of Electrical Engineering 465 Northwestern Ave., BHEE 326B West Lafayette, IN 47907 o: 765-494-6389 m: 765-490-6392 f: 765-494-2706 [cid:image001.png@01D95C92.3B7C9020]<https://www.purdue.edu/?utm_source=signature&utm_medium=email&utm_campaign=…>

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Software Engineering Candidate: Xiaoqi "Danny" Chen
by Satterfield, Mary Ann 09 Mar '23

09 Mar '23

If interested in meeting with this candidate, his itinerary can be found here: https://docs.google.com/document/d/1oRMe6BXRx-W0bgoFXkZRV-GhbeaW7yWHv_rWreQ… [cid:image001.png@01D95288.E789D4E0]

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REMINDER: Faculty Candidate Seminar: "The Internet of Long-lasting, Trustworthy, and Useful Things", Younghyun Kim (University of Wisconsin-Madison), Thursday, March 9 at 10:45AM, MSEE 239
by Hodges, Kendra Renee 09 Mar '23

09 Mar '23

Zoom: https://purdue-edu.zoom.us/j/<https://purdue-edu.zoom.us/j/98680978792>98680978792<https://purdue-edu.zoom.us/j/98680978792> ~ Meeting ID: 986 8097 8792 Please note the confidentiality of this seminar and do not post publicly [cid:image002.png@01D95270.875D1720] Kendra Hodges | Administrative Assistant Elmore Family School of Electrical and Computer Engineering Purdue University Materials and Electrical Engineering Building 501 Northwestern Avenue, Suite 150 West Lafayette, Indiana 47907 Phone: 765-494-3540 Email: khodges(a)purdue.edu<mailto:khodges@purdue.edu> [download]

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TODAY, WED, MARCH 8, 10:30A, MSEE 112: Software Engineering Faculty Candidate YI DING, Postdoc, MIT: A Holistic View on Machine Learning for Systems
by Satterfield, Mary Ann 08 Mar '23

08 Mar '23

In-person attendance is encouraged, but a Zoom option is available: https://purdue-edu.zoom.us/j/92976807032 [cid:image002.png@01D9510B.21485960] Mary Ann Satterfield Sr. Administrative Assistant Elmore Family School of Electrical and Computer Engineering Max W. and Maileen Brown Hall of Electrical Engineering 465 Northwestern Ave., BHEE 326B West Lafayette, IN 47907 o: 765-494-6389 m: 765-490-6392 f: 765-494-2706 [cid:image001.png@01D9510A.D2A98C70]<https://www.purdue.edu/?utm_source=signature&utm_medium=email&utm_campaign=…>

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