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Dr. C.-C. Jay Kuo 郭宗杰院士
Dr. C.-C. Jay Kuo 郭宗杰院士
Distinguished Professor of Electrical Engineering and Computer Science, and holder of the Ming Hsieh Chair in Electrical and Computer Engineering
University of Southern California 美國南加州大學
Keynote topic:
Can AI and Sustainability Coexist?
We have witnessed rapid AI advances in recent years. An example is the popularity of large language models. The AI data centers demand enormous power and water resources, leading to environmental concerns. Finding a new AI solution that meets the Sustainable Development Goals is challenging but critical. I have researched an alternative, interpretable, and sustainable AI solution since 2015. The new approach is called green learning (GL) or green AI. GL does not have neurons, neural networks, or backpropagation. Instead, it uses statistical tools to determine the parameters of an AI model in a feedforward manner. Low carbon footprints, small model sizes, low computational complexity, and logical transparency characterize GL. It offers energy-efficient solutions in data centers and mobile and edge devices. GL has been successfully applied to various applications. I will use several examples to demonstrate the effectiveness and efficiency of GL.
Speaker Bio
Dr. C.-C. Jay Kuo received his Ph.D. from the Massachusetts Institute of Technology in 1987. He is now with the University of Southern California (USC) as the Ming Hsieh Chair Professor, a Distinguished Professor of Electrical and Computer Engineering and Computer Science, and the Director of the Media Communications Laboratory. He is an Academician of Academia Sinica and a Fellow of AAAS, ACM, IEEE, NAI, and SPIE. Dr. Kuo has guided 181 students to their Ph.D. degrees and supervised 31 postdoctoral research fellows.
Dr. Ruey S. Tsay 蔡瑞胸院士
Dr. Ruey S. Tsay 蔡瑞胸院士
H.G.B. Alexander Professor of Econometrics and Statistics Emeritus
University of Chicago Booth School of Business 美國芝加哥大學 Booth 商學院
Prof. Hiroaki Ogata
Prof. Hiroaki Ogata
Professor at the Learning and Educational Technologies Research Unit
Academic Center for Computing and Media Studies, and
Graduate School of Informatics
Kyoto University, Japan
Keynote topic: Human-AI Synergy: A New Framework for Education in a Sustainable World
Addressing the urgent and complex challenges of sustainability requires a fundamental shift in how we learn, make decisions and collaborate. This talk introduces a new framework centered on Human-AI Synergy that addresses a dual imperative: enabling "education for sustainability" while ensuring the "sustainability of education" itself. This model re-imagines AI not as a mere tool, but as a collaborative partner for humanity.
The framework leverages AI to facilitate evidence-driven decision-making through participatory design, creating inclusive platforms where citizens, experts, and policymakers co-design solutions for "sustainability of education". By integrating human wisdom with machine intelligence, this approach transforms "education for sustainability" from a static in-classroom curriculum into a dynamic, lived experience. It cultivates the essential skills of collective problem-solving, critical thinking, and global stewardship.
Ultimately, this synergy offers a democratic and scalable pathway to building the resilient educational systems and empowered societies necessary for a thriving world.
Dr. Camilo Alejo
Dr. Camilo Alejo
Postdoctoral Fellow / Boursier Postdoctoral
Project Coordinator / Coordinateur de Projet
Matthews Climate Lab: CSIM
Sustainability in the Digital Age
Concordia University
2155 rue Guy, Suite 1201, Montréal, QC, H3H 2R9, Canada
Keynote topic:
Synergizing Intelligences: AI-enhanced Nature-based Solutions for sustainable and equitable futures.
Speaker bio:
Dr. Camilo Alejo is a Postdoctoral Fellow at Sustainability in the Digital Age and Future Earth Canada Hub based at Concordia University. He explores the intricate connections between land use, digital tools, and local values in achieving climate and biodiversity goals.
Dr. Alejo's research journey bridges multiple knowledge systems and disciplines for environmental decision-making. His research on Indigenous knowledge and species co-management in the Colombian Amazon supported local agreements between National Parks and Indigenous authorities. During his PhD at McGill University (Canada), he evaluated the impact of Indigenous Lands and Community-Protected Areas across Central America and the Amazon Basin, producing research that informed international climate and biodiversity negotiations. His research in Panama's Darien Gap forests combined geospatial cloud-computing with participatory mapping to understand how Indigenous values influence forest stability, supporting Indigenous-led land stewardship initiatives.
Currently, Dr. Alejo coordinates the Project "Equitable Futures for Nature-based Solutions". This collaboration with Microsoft has been convening academic, private, non-profit, and indigenous stakeholders to understand Canada's Nature-based Solutions landscape while harnessing AI to monitor and prioritize decision-making. Dr. Alejo envisions research as a dynamic dialogue that integrates scientific, community, and artificial intelligences to catalyze pathways toward sustainable and equitable futures.
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