Energy and Environment Group (EEG)
The Energy and Environment Research Group applies computer science to address renewable energy integration, energy demand reduction, and the assessment and management of environmental impact (e.g. climate change, biodiversity loss, deforestation) from anthropogenic activities.
We operate in an interdisciplinary manner, collaborating with climate scientists, ecologists, engineers, lawyers, regulators, and economists, and conducting wide engagement with external partners to effect evidence-based outcomes.
Goals
The goals of the group are to
- Disseminate information in energy and environment topic areas through seminars, workshops, and scientific publications
- Encourage collaboration between group members within this Department and help coordinate interdisciplinary initiatives across University departments.
- Provide mentoring to students (Part II, III, MPhil, and students in the AI4ER and Sensors Doctoral Training Centres)
- Create an entity that can attract external funding and donations.
- Gather equipment and laboratory space required (e.g. sensors, drones)
- Provide guidance to the Teaching Committee on Computer Science Tripos courses relevant to energy and environment.
- Contribute to the development of relevant undergraduate and graduate courses within the University.
- Have a measurable impact on tools and techniques for de-risking our future.
Membership
- Faculty members (University Teaching Officers) in the Department for Computer Science and Technology
- Postdocs, PhDs, Lab Visitors and Master’s students primarily from the Department for Computer Science and Technology and other departments, as appropriate
Activities
- Termtime seminar series with presentations from members and visitors
- Weekly group lunches/meetings
- Occasional offsites to natural environments
Seminars
- Details at talks.cam
- Recordings from the EEG seminar series are available to watch online (link)
- Seminar schedule for Michaelmas 2022. We thank the Institute of Computing for Climate Science for their sponsorship of this series.
|
Date |
Title of presentation |
Speaker name |
Affiliation |
|
October 7 |
Bringing Trust to Carbon Credits Through Computer Science (this complements the one given by Tom Swinfield earlier this week) |
S. Keshav |
Cambridge |
|
October 14 |
Towards a single controller that can make many buildings a little greener |
Arduin Findeis |
Cambridge |
|
October 21 |
Fusing GEDI and LandSat data to estimate tropical forest recovery rates across the Amazon |
Amelia Holcomb |
Cambridge |
|
October 28 |
Optimization-in-the-loop AI for energy and climate |
Priya Donti |
Climate Change AI, MIT |
|
November 4 |
Daoping Wang |
Cambridge |
|
|
November 11 |
Investigating forest dynamics and functioning in response to disturbances through individual-based modeling |
E-Ping Rau |
Cambridge |
|
November 18 |
Upcoming BIOMASS Earth Explorer 7 mission: concept and validation challenges |
Jerome Chave |
CNRS, Toulouse |
|
November 25 |
Measuring emissions by satellite to support the Paris Agreement |
Stephen Briggs |
U Cambridge and U Reading |
|
December 2 |
A framework for measuring biodiversity impacts of land use change |
Alison Eyres |
Zoology, Cambridge |
|
December 9 |
TBC |
Omid Ardakanian |
University of Alberta |
Affiliated centres
- Cambridge Centre for Carbon Credits (4C)
- Cambridge Conservation Research Institute (UCCRI)
- Institute of Computing for Climate Science (ICCS)
- Centre for Doctoral Training in the Application of AI to Environmental Risks (AI4ER)
- Centre for Doctoral Training in Sensor Technologies for a Healthy and Sustainable Future
- Centre for Earth Observation
- Energy Interdisciplinary Research Centre
News
- October 2022: Prof. Anil Madhavapedd's book Real World OCaml published
- 19th July 2022: EEG group launches
- 15th July 2022: Emily Shuckburgh's Climate Change briefing to MPs
