Computational Sustainability

Professor Carla P. Gomes
Department of Computer Science
Cornell University

Contact Person
Dr MEEL, Kuldeep Singh, Sung Kah Kay Assistant Professor, School of Computing

  26 Apr 2018 Thursday, 04:00 PM to 05:30 PM

 Executive Classroom, COM2-04-02


Computational sustainability is a new interdisciplinary research field with the overarching goal of developing computational models, methods, and tools to help manage the balance between environmental, economic, and societal needs for a sustainable future. I will provide an overview of computational sustainability, with examples ranging from wildlife conservation and biodiversity, to poverty mitigation and materials discovery for renewable energy materials. I will highlight cross-cutting computational themes, opportunities, and challenges in Artificial Intelligence to address sustainability problems.


Carla Gomes is a Professor of Computer Science and the director of the Institute for Computational Sustainability at Cornell University. Gomes received a Ph.D. in computer science in the area of artificial intelligence and operations research from the University of Edinburgh. Her research area is Artificial Intelligence with a focus on large-scale constraint reasoning, optimization, and machine learning. Recently, Gomes has become deeply immersed in research in the new field of Computational Sustainability. From 2007-2013 Gomes led an NSF Expeditions-in-Computing in Computational Sustainability that nucleated the new field of Computational Sustainability. Gomes is currently the lead PI of a new NSF Expeditions-in-Computing that established CompSustNet, a large-scale national and international research network, to further expand the field and Computational Sustainability. Gomes is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), a Fellow of the Association for Computing Machinery (ACM), and a Fellow of American Association for the Advancement of Science (AAAS).

*Light refreshment will be served after the talk.*