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  • SinBerBEST Principal Investigators interviewed in Singapore newspaper Lian He Zao Bao

    SinBerBEST Principal Investigators interviewed in Singapore newspaper Lian He Zao Bao

    Professors Schiavon, Tham and Sekhar were interviewed in the Lian He Zao Bao, the largest Singaporean Chinese-language newspaper with a daily circulation of about 200,000. The article discusses the Singapore government updated guidelines on improving building ventilation to strengthen the resilience against COVID-19 pandemic.

  • The Straits Times: Feature on Professor Panda's SEOS Technology

    The Straits Times featured Prof Panda’s team work in developing smart socket system for plugged-in devices. In this Tech News item, the innovative Smart Electrical Outlet/Socket (SEOS) technology developed under the SinBerBEST programme was described as having the capability to provide users to remotely switch off appliances or even configure user’s electrical sockets to automatically shut down gadgets that draw too much power.

  • NUS Faculty of Engineering: Smart Electrical Outlet/ Socket Technology

    NUS Faculty of Engineering: Smart Electrical Outlet/ Socket Technology

    The innovative Smart Electrical Outlet/Socket (SEOS) technology developed at National University of Singapore (NUS) under the SinBerBEST programme by Associate Professor Sanjib Kumar Panda's team was featured by NUS Faculty of Engineering in the article "Smart sockets for a smarter nation". Congratulations to the team for their commercialization efforts to produce real-world impact from SinBerBEST research. Complete article can be accessed here. 

News

Prof. Panda Promoted to IEEE Fellow

Prof. Panda Elected to IEEE Fellow

Congratulations to Dr. Sanjib Kumar Panda who has been elevated to IEEE Fellow for contributions to iterative learning control of motor drives.

Patent for Antenna-embedded Concrete Granted

Patent for Antenna-embedded Concrete Granted

SinBerBEST Principal Investigators and Postdoctoral Scholars have been granted a patent for creating a process for forming an antenna structure and for embedding an antenna system in concrete. In 2016, Prof. Boon Hee Soong, Prof. Paulo Monteiro, Dr. Vanessa Reinheimer, and Dr. Yee Loon Soong, filed this patent application in order enhance the concrete structure's energy harvesting capabilities for embedded Internet of Things (IoT) applications, but to also significantly improve the overall performance of wireless technologies within buildings. Congratulations!

2020 American Automatic Control Council O. Hugo Schuck Best Paper Award

2020 American Automatic Control Council O. Hugo Schuck Best Paper Award

Research collaboration between SinBerBEST 2 and UC Berkeley’s Electrical Engineering and Computer Science  (EECS) team resulted in a O. Hugo Schuck Best Paper Award from the American Automatic Control Council (AACC) in 2020.

Photo caption: Prof Stefano Schiavon provided an overview of the SinBerBEST technologies to BCA CEO Hugh Lim (in blue), Minister Desmond Lee (on Mr Lim’s right), and FEC BE Cluster Sub-committee members.

Visit by Future Economy Council (FEC) Built Environment (BE) Cluster Sub-committee Members to SinBerBEST Living Lab in BCA

On 19th November 2019, Minister for Social and Family Development & Second Minister for  National Development, Mr Desmond Lee and fellow co-chair Mr Lim Ming Yan, former president and group chief executive office of CapitaLand, along with the FEC BE Cluster Sub-committee members visited the living lab at the Zero Energy Building (ZEB) located in the BCA Braddell Campus.

International Workshop on Applied Machine Learning for Intelligent Energy Systems

Call for Papers: International Workshop on Applied Machine Learning for Intelligent Energy Systems

SinBerBEST team members, along with other researchers from industry and academia,  are organizing the International Workshop on Applied Machine Learning for Intelligent Energy Systems (AMLIES) as part of the ACM e-Energy Conference 2020 at Melbourne, Australia. The workshop's objective is to bring researchers together to discuss the underlying challenges related to the application of Machine Learning to Energy Syste

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Topics

Theme A: Human-Building Nexus - Enhancing Health and Productivity in the Built Environment (16) Theme B: Smart Technologies for Agile, Intelligent, Efficient and Resilient Buildings (21) Theme C: Agile Design and Operation of the Building Envelope for Energy Efficiency and Human Comfort (16) Theme D: Data Analytics for the Built Environment (19) Theme E: Cyber Physical Testbed (12) Thrust 1: Sensing, Data mining and Modeling (2) Thrust 2: Multi-Level Optimal Control (2) Thrust 3: High Confidence Building Operating System (2) Thrust 4: Human-Building Interactions & the Environment (2) Thrust 5: Materials, Designs & Lifecycle (2)