A Holistic Implementation of Data Science in Clean Energy Engineering Education
- Conference
- Location
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Minneapolis, MN
- Publication Date
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August 23, 2022
- Start Date
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June 26, 2022
- End Date
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June 29, 2022
- Conference Session
- Page Count
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12
- DOI
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10.18260/1-2--40431
- Permanent URL
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https://peer.asee.org/40431
- Download Count
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419
Paper Authors
Ilya Grinberg The State University of New York, College at Buffalo
Ilya Grinberg is SUNY Distinguished Teaching Professor and Director of Electrical Engineering Technology in the Engineering Technology Department and started his career at Buffalo State in 1995.
Grinberg holds Kandidat Nauk degree (equivalent to Ph.D.) in Electrical Engineering from Moscow State University of Civil Engineering (Moscow, Russia,1993) and qualification of an Electrical Engineer (equivalent to M.S. in Electrical Engineering) from the National University “Lviv Polytechnic” (Lviv, Ukraine, 1979).
His research interests are in design automation, systems engineering, power systems, Smart Grid and microgrids.
He teaches undergraduate courses and laboratories in power systems, electric machines, power electronics, senior design sequence, to name the few. He established state-of the art joint Buffalo State/University at Buffalo Smart Grid Laboratory, of which he is director. He served as PI and co-PI on several grants and is a recipient of SUNY Buffalo State President’s Award for Excellence in Research, Scholarship, and Creativity (2012) and SUNY Chancellor’s Award for Excellence in Scholarship and Creative Activities (2016).
He developed and revised multiple courses and leads departmental activities in ABET accreditation. He is Engineering Technology Accreditation Commission (ETAC) of ABET Commissioner and served as program evaluator representing IEEE since 2005.
Grinberg has over 57 peer-reviewed journal and conference publications and numerous presentations in his field.
He is IEEE Senior Member and currently holds a position of the American Society for Engineering Education (ASEE) Zone 1 Chair and ASEE Board of Directors member.
In addition, he is recognized scholar and author in World War II military history. The book he co-authored, Red Phoenix Rising: The Soviet Air Force in WWII, was named an Outstanding Academic Title by the Choice Magazine.
Saquib Ahmed The State University of New York, College at Buffalo
Joaquin Carbonara The State University of New York, College at Buffalo
Abstract
A Holistic Implementation of Data Science in Clean Energy Engineering Education Advances in technology and economic expansion require increased use of energy. At the same time, technology has significantly improved energy efficiency and allows exploitation of a variety of diverse and plentiful sources of clean energy. This has led to a clean energy revolution, as stated by the Department of Energy [1]. We are witnessing expansion of economic activities driven by advances in clean energy technologies, which is in turn leading to new technological breakthroughs [2]. It is predicted that by 2040, artificial intelligence (AI) applications, in combination with other technologies, will become prevalent in almost every aspect of life, including but not limited to energy, healthcare, and transportation. Empowered by simultaneous increases in high-quality data, computing resources and communication infrastructure, AI will challenge societies to gain most of the benefits and at the same time reduce negative social effects [3].
This paper describes the development of a program that provides students with knowledge and skills in various aspects of energy, economics, and data science, calling attention to the areas in the program impacted by the newly developed courses, and expands on several activities designed to engage students through active learning and research experiences.
Grinberg, I., & Ahmed, S., & Carbonara, J. (2022, August), A Holistic Implementation of Data Science in Clean Energy Engineering Education Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--40431
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