June 2024 ACM SIGEnergy Newsletter


1. ACM SIGEnergy Awards 2024 Winner Announcements –  Winners will receive the award at ACM e-Energy 2024/ ACM BuildSys 2024

2. ACM eEnergy’24 – Test of Time Award of ACM eEnergy Announcement

3. ACM BuildSys’24 – Call for Papers and Call for Workshops and Tutorials

4. EIR – Updates

5. ACM SIGEnergy resource for energy-related data sets

6. Posting additional information (contact Shijia Pan: [email protected])


1. ACM SIGEnergy Awards 2024 Winner Announcements – Winners will receive the award at ACM e-Energy 2024/ ACM BuildSys 2024

SIGEnergy Rising Star Award 2024 Winner

SIGEnergy establishes an annual Rising Star Award to recognize a young researcher who has made outstanding research contributions to the field of energy systems and informatics. For the 2024 cohort, the award committee has chosen Omid Ardakanian from the University of Alberta, as the SIGEnergy Rising Star Award winner, for the following citation:

for contributions to data-enabled optimization and learning-based control of smart grids, buildings, and energy systems.

Omid Ardakanian is an Associate Professor in the Department of Computing Science at the University of Alberta. He received the BSc in Computer Engineering at Sharif University of Technology and the MMath and PhD in Computer Science at the University of Waterloo under the supervision of S. Keshav and Catherine Rosenberg. He was nominated for the Governor General’s Gold Medal for his PhD thesis. Before joining the University of Alberta, he was a postdoctoral fellow at the University of California, Berkeley (advised by David Culler), and the University of British Columbia (advised by Vincent Wong).

His research focuses on designing algorithms for safe, stable, and efficient operation of networked, embedded, and cyber-physical systems. He currently serves as treasurer for ACM SIGENERGY and is on the steering committee of ACM e-Energy. He is also an editor of Energy Informatics Review (EIR). In the past, he served as a guest editor of IEEE Transactions on Smart Grid and a TPC co-chair of ACM e-Energy 2021.

He won the 2024 ACM e-Energy Test of Time Award for his research, which also received the Best Paper Award at the Fourth International Conference on Future Energy Systems (ACM e-Energy) in 2013. He also received the best paper award at ACM BuildSys 2016 and 2022 and the IEEE Power & Energy Society General Meeting 2017.

SIGEnergy Doctoral Dissertation Award 2024 Winner

Xiang Pan, The Chinese University of Hong Kong, for the thesis titled “Deep Neural Networks for Optimal Power Flow in Electric Power Systems: Design, Analysis, and Experiments”

Bio: Xiang Pan received his Ph.D. in Information Engineering from The Chinese University of Hong Kong in 2022. His research focuses on machine learning and its application in energy systems and multimedia signal processing, e.g., Neural Image Compression. Xiang is currently a researcher at Tencent Media Lab. He (as the core member) received the Winner Award of the CVPR 2018 Challenge on Learned Image Compression. During his Ph.D., he developed the DeepOPF as the first work in the literature that employs deep neural networks (DNN) to solve optimal power flow (OPF) problems directly by learning input-to-solution mapping. Once DNNs learn the mapping, they can be used to obtain quality solutions upon giving load inputs instantly without iteration, speeding up the computation time by 2~4 orders of magnitude compared to the state-of-the-art iterative OPF solvers.

SIGEnergy Doctoral Dissertation Award 2024 Honorable Mention (in alphabetical order of last names) 

Utkarsha Agwan, University of California Berkeley, for the thesis titled “Evaluating and Optimizing Distributed Energy Resources”

Bio: Utkarsha Agwan earned her doctorate from the Department of Electrical Engineering and Computer Sciences at UC Berkeley. Her research focused on distributed energy resources, specifically batteries, electric vehicles, and flexible loads, and how they can participate in the larger power grid. The overarching theme of her work is climate change mitigation. She also works as a consultant for companies in the smart energy space, with projects on distributed generation, storage, and local energy markets. Currently, Utkarsha works as a Senior Data Scientist at C3 AI and previously obtained her undergraduate degree in Electrical Engineering from IIT Delhi.

John Wamburu, University of Massachusetts Amherst, for the thesis titled “Data-driven Modeling and Analytics for Greening the Energy Ecosystem”

Bio: John Wamburu received his Ph.D. in 2023 from the University of Massachusetts Amherst, where he worked on interdisciplinary topics cutting across cyber-physical systems and green energy. Specifically, his work applied techniques from machine learning, statistical time-series analysis and optimization in energy analytics and greening the energy ecosystem. During his Ph.D., he interned at the IBM T.J. Watson Research Center and LinkedIn. He is also an avid inventor with more than 10 patents under his name. John Wamburu is currently a Research Scientist at IBM Research Africa in Nairobi, Kenya, where he works on trustworthy AI and anomalous pattern discovery.

2. ACM eEnergy’24 – Test of Time Award of ACM eEnergy Announcement

ACM e-Energy is the premier forum for research at the intersection of computing and communication technologies with energy systems. It has established a strong track record for high-quality research in the application of computing and networked systems to make legacy systems more energy-efficient and in the design, analysis, and development of sustainable and innovative energy systems.

The 15th ACM International Conference on Future and Sustainable Energy Systems (ACM e-Energy 2024) and its co-located tutorials and workshops will be held in Singapore from June 4 to 7, 2024. By bringing together researchers in a single-track conference designed to offer significant opportunities for personal interaction, it is a major forum for shaping the future of this area.

Announcements: The ACM eEnergy Test of Time Paper Award recognizes research that has had long-lasting influence by e.g., opening a new area of research, introducing new techniques, or solving a problem of lasting importance. The special impact should be visible by the number of citations or important follow-up papers as observed over a time range of at least 10 years after publication in the ACM e-Energy conference.

For 2024, the award committee has the pleasure to select two papers as the winners and one paper as the honorable mention. These papers are:
Aditya Mishra, David Irwin, Prashant Shenoy, Jim Kurose, and Ting Zhu
“SmartCharge: Cutting the Electricity Bill in Smart Homes with Energy Storage”
in Proceedings of ACM eEnergy 2012.
Omid Ardakanian, Catherine Rosenberg, S. Keshav
“Distributed Control of Electric Vehicle Charging”
in Proceedings of ACM eEnergy 2013.
Honorable mention:
Josep Ll Berral, Íñigo Goiri, Ramón Nou, Ferran Julià, Jordi Guitart, Ricard Gavaldà, and Jordi Torres
“Towards energy-aware scheduling in data centers using machine learning”
in Proceedings of ACM eEnergy 2010.

More details can be found at https://energy.acm.org/conferences/eenergy/2024/index.php



3. ACM BuildSys’24 – Call for Papers and Call for Workshops and Tutorials

The 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys 2024) will be held on November 7-8, 2024, in Hangzhou, China.

BuildSys will host a highly selective, single-track forum for research on systems issues covering all aspects of the built environment, broadly defined. Advances in the effective integration of networked sensors, building controls, and physical infrastructure are transforming our society, allowing the formation of unprecedented built environments and interlocking physical, social, and cyber challenges. Moreover, built environments, including buildings and critical urban infrastructure, account for over half of society’s energy consumption and are the mainstay of our nation’s economy, security, and health. As a result, there is a broad recognition that systems optimizing explicitly for the built environment are particularly important in improving our society, and represent the foundation for emerging “smart cities”. BuildSys is an ideal venue for researchers and practitioners working to develop and optimize such smart infrastructure systems that are driven by networked sensing, computing, and control functions.


*** Important Dates ***

Abstract Registration: July 5th, 2024, 23:59 AOE

Paper Submission: July 12th, 2024, 23:59 AOE

Paper Notification: September 13th, 2024, 23:59 AOE


***Important Links***

Call for Papers are now available at: https://buildsys.acm.org/2024/cfp/

Call for Workshops & Tutorials are now available at: https://buildsys.acm.org/2024/resources/documents/buildsys24-Call-for-Workshop-Tutorial-Proposals.pdf

For more information, please visit: https://buildsys.acm.org/2024/




4. EIR – Updates

ACM SIGENERGY Energy Informatics Review (EIR) is a new online publication venue for articles on topics within the SIG’s field of interest. It seeks high-quality papers at the intersection of computing and communication technologies with smart and sustainable energy systems and the built infrastructure. The focus is on timely disseminating new ideas that may help trigger additional investigations. While innovation and timeliness are the major criteria for its acceptance, technical robustness, and readability will also be considered in the review process. Specifically, papers with early evaluation or feasibility studies are highly encouraged. Submit your file at https://sigenergy-eir.hotcrp.com. Papers accepted for publication are accessible through the ACM Digital Library. The anticipated delay from submission to publication is no more than 4.5 months on average.

The April Issue is now available at: https://energy.acm.org/eir/april-issue-2024/



5. ACM SIGEnergy resource for energy-related data sets

The ACM SIGEnergy website has a Resources page with a variety of data sets that are freely available for use by the energy community. It is available at https://energy.acm.org/resources/

We invite you to share any energy-related data sets, models, and software we have not added to this page. Please send this information directly to Gabe Fierro at [email protected].




6. Posting additional information

If you would like to post additional information such as academic job opportunities, Ph.D. scholarships, or a new energy systems course, then please send me the details and I will include them in the next monthly newsletter. My email address is [email protected].

As always, the ACM SIGEnergy website has the latest information. We welcome you to peruse it https://energy.acm.org/




Shijia Pan,

Communications Director, ACM SIGEnergy