IEEE Green Energy and Smart Systems Conference
Long Beach, CA

Opening Remark/Keynote Speaker

Opening Remark

Dr. Tracy Bradley Maples Welcome

Welcome to the IEEE Green Energy and Smart Systems Conference. Now in its 11th year at California State University Long Beach, IGESSC remains a vital venue for researchers and practitioners to present and disseminate ongoing advancements in smart systems, sustainable, and green energy technologies.  

Although this year’s conference is virtual, it will feature the same thought-provoking papers as in years past. Presenters represent universities from throughout California and around the world–including Cal State Long Beach–as well as Southern California Edison, Mathworks, National Instruments, and other companies. Many thanks to Electrical Engineering Chair Dr. Henry Yeh and the Steering Committee for bringing this conference to us in a new format.  The world is moving toward a clean energy future. Solar and wind power have grown at a rapid rate over the past decade, and 1.6 million electric cars have been sold in the U.S. since 2010 alone. According to the U.S. Energy Information Administration, renewable energy generation will surpass nuclear and coal by next year and natural gas by 2050. With connected devices now outnumbering people on the planet, the potential to create value from the data produced is limitless. In keeping with the conference’s focus on big data, keynote speaker Vincenzo Piuri from the Università degli Studi di Milano will discuss infrastructure for helping users get the most out of smart systems. 

Thanks for participating in the conference, and enjoy your day of learning and sharing. 

Warm regards, 

Dr. Tracy Bradley Maples 

Interim Dean, CSULB College of Engineering 

Dr. Tracy Bradley Maples Biography:

Dr. Tracy Bradley Maples serves as Interim Dean of the CSULB College of Engineering. Since January 2020, she has been the chief academic officer for the 5,000+ student college and coordinates the college’s instructional programs, curricular advancement, research efforts, and fundraising initiatives. Prior to this appointment, Dr. Maples served as Associate Dean for Academic Programs in the college from 2015 to 2020. As Associate Dean, Dr. Maples oversaw the Engineering Student Success Center and coordinated student success initiatives within the college.

Dr. Maples is a co-project director on a five-year, $5.8 million HSI-STEM grant that aims to close the opportunity gap in STEM baccalaureate degree attainment for Hispanic and low-income students.

Prior to 2015, Dr. Maples served as Professor of Computer Engineering and Computer Science. Her research interests lie in the areas of computer networking, modeling and simulation. Since Spring 2001, Dr. Maples has supervised the CECS Network and Security Laboratory, featuring an applied teaching and research environment for the study of networking infrastructures.

Dr. Maples was awarded the CSULB Distinguished Faculty Teaching Award for sustained excellence in teaching. She is a CSULB Data Fellow and CSULB President and Provost’s Leadership Fellow.

She holds a Ph.D. in Information and Computer Science from UC Irvine, and a M.S. in Computer Science and B.S. in Mathematics and Computer Science from UC Riverside.

Keynote Speaker

Ambient intelligence for smart living

Abstract:

Adaptability and advanced services for ambient intelligence require an intelligent technological support for understanding the current needs and the desires of users in the interactions with the environment for their daily use, as well as for understanding the current status of the environment also in complex situations. This infrastructure constitutes an essential base for smart living. Various technologies are nowadays converging to support the creation of efficient and effective infrastructures for ambient intelligence.

Artificial intelligence can provide flexible techniques for designing and implementing monitoring and control systems, which can be configured from behavioral examples or by mimicking approximate reasoning processes to achieve adaptable systems. Machine learning can be effective in extracting knowledge form data and learn the actual and desired behaviors and needs of individuals as well as the environment to support informed decisions in managing the environment itself and its adaptation to the people’s needs.

Biometrics can help in identifying individuals or groups: their profiles can be used for adjusting the behavior of the environment. Machine learning can be exploited for dynamically learning the preferences and needs of individuals and enrich/update the profile associated either to such individual or to the group. Biometrics can also be used to create advanced human-computer interaction frameworks.

Cloud computing environments will be instrumental in allowing for world-wide availability of knowledge about the preferences and needs of individuals as well as services for ambient intelligence to build applications easily.

This talk will analyze the opportunities offered by these technologies to support the realization of adaptable operations and intelligent services for smart living in an ambient intelligent infrastructures.

Speaker’s Biography:

Vincenzo Piuri has received his Ph.D. in computer engineering at Politecnico di Milano, Italy (1989). He is Full Professor in computer engineering at the Università degli Studi di Milano, Italy (since 2000). He has been Associate Professor at Politecnico di Milano, Italy and Visiting Professor at the University of Texas at Austin and at George Mason University, USA.

His main research interests are: artificial intelligence, computational intelligence, intelligent systems, machine learning, pattern analysis and recognition, signal and image processing, biometrics, intelligent measurement systems, industrial applications, digital processing architectures, fault tolerance, dependability, cloud computing and internet-of-things infrastructures. Original results have been published in more than 400 papers in international journals, proceedings of international conferences, books, and book chapters.

He is Fellow of the IEEE, Distinguished Scientist of ACM, and Senior Member of INNS. He is President of the IEEE Systems Council (2020-21). He has been IEEE Vice President for Technical Activities (2015), IEEE Director, President of the IEEE Computational Intelligence Society, Vice President for Education of the IEEE Biometrics Council, Vice President for Publications of the IEEE Instrumentation and Measurement Society and the IEEE Systems Council, and Vice President for Membership of the IEEE Computational Intelligence Society.

He has been Editor-in-Chief of the IEEE Systems Journal (2013-19), and Associate Editor of the IEEE Transactions on Computers, the IEEE Transactions on Neural Networks, the IEEE Transactions on Instrumentation and Measurement, and IEEE Access. He is Associate Editor of the IEEE Transactions on Cloud Computing.

He received the IEEE Instrumentation and Measurement Society Technical Award (2002) and IEEE TAB Hall of Honor (2019). He is Honorary Professor at: Obuda University, Hungary; Guangdong University of Petrochemical Technology, China; Northeastern University, China; Muroran Institute of Technology, Japan; and the Amity University, India.