Sustainability and Education: Green and sustainable computing in ECE curricula
Green and sustainable software engineering is a rising field that aims at adopting energy-efficient software and hardware in an environmentally friendly manner with less negative impacts and carbon footprint. This topic is very important now that there is a list of the top 500 green supercomputers in the world, updated semi-annually, to promote the use of them. In a broader sense, green computing refers to the methods of creating, utilizing, and disposing of computing resources in an eco-friendly manner that preserves overall computing functionality. This encompasses minimizing the use of harmful substances, optimizing product performance throughout its lifespan while minimizing its energy usage, and ensuring that the used resources are either reusable, recyclable, or biodegradable to reduce their environmental impact.
The talk will cover the recent efforts and advances in green computing and sustainable software engineering. Some of the topics to be covered are sustainable big data centers and cloud computing, the carbon footprint of a computer program and different techniques and methods for measuring it, introduction to state-of-the-art new emerging devices that promote high sustainability, reusability, and low-power, such as Neuromorphic computers and AI chips. In addition, the speaker will share their experience about introducing these topics to undergraduate senior students and why it’s important to promote this type of education in other schools.
Date and Time
Location
Hosts
Registration
- Date: 11 Jul 2024
- Time: 12:00 PM to 01:00 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
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- 3700 O'Hara St.
- 1211 Benedum Hall
- Pittsburgh, Pennsylvania
- United States 15261
- Building: Benedum Hall
- Room Number: 1235
- Starts 15 May 2024 12:00 AM
- Ends 10 July 2024 11:59 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
- No Admission Charge
- Menu: In-person (Pizza will be served), Online
Speakers
Amr Mahmoud of University of Pittsburgh
Biography:
Dr. Amr Mahmoud is an Assistant Professor in the ECE department at the University of Pittsburgh. He received his B.Sc. degree in Electronics and Electrical Communications Engineering and the M.Sc degree in Engineering Physics from Cairo University, Egypt, in 2011 and 2015, respectively. He earned his PhD in Computer Engineering from the Electrical and Computer Engineering Department at the University of Pittsburgh, USA. Dr. Mahmoud's his primary research focus is on engineering education development and innovation. His other research interests include, but not limited to: Machine Learning, especially Deep Learning, for Image Processing and Video Prediction, Neuromorphic Computing Systems and its applications.
