AI-Driven Machine Learning Framework: Optimizing Emissions & Energy Efficiency in Power Plants
The IEEE Sustainable Energy and Intelligent Engineering Society (SEIES), Okinawa, Japan, in collaboration with the Research and Education Promotion Association (REPA) LLC, USA, organized a technical seminar on the application of artificial intelligence in energy systems. The seminar provided a platform for participants to explore AI-driven solutions for emission reduction, smart infrastructure, and enhanced energy efficiency.
Key discussions included intelligent optimization of power plants, predictive maintenance with machine learning, and AI-assisted integration of renewable energy. The seminar aligned with the United Nations Sustainable Development Goals (SDGs) by emphasizing sustainable energy systems and climate change mitigation.
The event successfully brought together researchers, students, and professionals, fostering international collaboration and knowledge exchange.
Date and Time
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- University of San Diego (USD)
- 5998 Alcala Park
- San Diego, California
- United States 92110
- Building: Warren Hall
- Click here for Map
- Contact Event Host
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Email: danish@ieee-seies.org
Phone: +1 (916) 280-0044
Websites: www.ieee.org/seies
- Co-sponsored by Dr. Mir Sayed Shah Danish
Speakers
Danish of Research and Education Promotion Association (REPA) LLC
AI-Driven Machine Learning Framework for Optimizing Emissions & Energy Efficiency in Power Plants
This talk will provide an overview of how AI and machine learning frameworks can be applied to optimize energy systems, reduce emissions, and support sustainable power generation. It will highlight predictive maintenance, renewable integration, and data-driven optimization aligned with the UN Sustainable Development Goals (SDGs).
Biography:
Dr. Danish Mir Sayed Shah, with experience in academia and industry, combines theoretical knowledge and practical expertise in energy, artificial intelligence, machine learning, robotics, environment, and business. He holds a B.Sc., dual master’s degrees, and dual Ph.D.s, with over 100 publications to his credit, and actively contributes to various academic societies.
- Education: Doctor of Philosophy (Ph.D.)
- Position: Research and Innovation Chair (RIC)
- Institution: REPA - Research and Education Promotion Association
- Professional Recognition: CEng.
- Field: Interdisciplinary Intelligent System Engineering
- Professional Membership: Senior Member, IEEE (SMIEEE); Member, IET
- Former Membership: ACM, IEEJ, PMI, etc.
Email:
Address:1401 21st St, , SACRAMENTO, California, United States, 95811
Agenda
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Welcome & Opening Remarks
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Keynote Presentation: AI-Driven Frameworks for Energy Efficiency
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Technical Session 1: Emission Reduction through AI Applications
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Technical Session 2: Smart Energy Infrastructure and Optimization
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Interactive Q&A and Discussion
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Closing Remarks
Organized by IEEE SEIES (Okinawa, Japan) in association with REPA LLC (USA).
Cosponsored by Dr. Mir Sayed Shah Danish.