BUDS Lab is a scientific research group that leverages data sources from the built and urban environments to improve the energy efficiency and conservation, comfort, safety and satisfaction of humans.
Dr. Clayton Miller (ResearchGate)(LinkedIn)(GitHub)(ORCID)(Publons) is an Asst. Professor at NUS in the BUDS Lab. He was formerly a researcher at the Future Cities Lab and a fellow at the Institute of Technology in Architecture at the ETH Zürich. He holds a Doctor of Sciences (Dr. sc. ETH Zurich) from the ETH Zürich, an MSc. (Building) from the National University of Singapore (NUS), and a BSc./Masters of Architectural Engineering (MAE) from the University of Nebraska - Lincoln (UNL). He is the former CTO of Optiras Pte. Ltd, a Singapore NRF-funded start-up, a former Fulbright Scholar to Singapore at NUS and a Walter Scott Jr. Scholar at UNL.
Dr. Prageeth Jayathissa (ResearchGate)(LinkedIn)(GitHub)(ORCID) is a Post-Doctoral Researcher at NUS in the BUDS Lab. He holds a Doctor of Sciences (Dr. sc. ETH Zurich) and Masters in Energy Science from the ETH Zürich and a Bachelor’s Degree in Mechanical Engineering from the University of Canterbury in New Zealand. Dr. Jayathissa is the equivalent of the BUDS Lab Oberassistent (Senior Researcher) as he ties together all the technologies being developed. He is an expert in prototyping, engineering, design, and computer science.
Ananya Joshi (ResearchGate)(LinkedIn)(GitHub) is a U.S. Student Fulbright Scholar at NUS in the BUDS Lab. She recently finished a Bachelor’s of Science and Engineering in Computer Science from Princeton University and has previously worked at Google and the MIT Lincoln Lab. Ananya is a machine learning expert that will be leading the BuzzNET project focused on the identification of mosquito breeding areas in the tropical Singaporean climate.
Irvin Tang Kaijun (ResearchGate)(LinkedIn)(GitHub) is a Ph.D. Researcher at NUS in the BUDS Lab. He is co-supervised by Dr. Wang Qian. He holds a B.Sc. in Project & Facilities Management, Honours (Merit) from the NUS Dept. of Building. He is an expert in identifying and documenting construction and operations defects and is working on elegant ways of using deep learning and image recognition to enhance the building industry.
Mahmoud AbdelRahman (ResearchGate)(LinkedIn)(GitHub) is a Ph.D. Researcher at NUS in the BUDS Lab. He is co-supervised by Dr. Adrian Chong and is a key member of Dr. Chong’s project: Integrated web-based platform for lifecycle building energy modeling. He holds a M.Sc in Architectural Engineering and B.Sc in Architecture from Mansoura University in Egypt. Mahmoud is an expert in building information modelling (BIM) and the development of tools and machine learning techniques to tie the virtual and measured world together.
Matias Quintana (ResearchGate)(LinkedIn)(GitHub) is a Ph.D. Researcher at NUS in the BUDS Lab. He is co-supervised by Prof. Tham Kwok Wai and is affiliated with SinBerBest 2. He holds a Master of Information Systems Management from the Heinz College at Carnegie Mellon University and a B.Sc. in Electrical Engineering from the Pontifical Catholic University of Peru. Matias is a combination computer scientist and hardware hacker and is using these skills to implement wearable tech in the built environment.
Dr. Pandarasamy Arjunan (ResearchGate)(LinkedIn)(GitHub) is a Post-Doctoral Researcher at the Berkeley Education Alliance for Research in Singapore (BEARS) and is in the Thrust D: City-Scale Analytics project with the BUDS Lab and Prof. Kameshwar Poolla. He holds a Ph.D. in Computer Science from the IIIT-Delhi, a Master of Computer Applications (MCA) from the Madurai Kamraj University, and a Bachelor of Science in Computer Science from the Manonmaniam Sundaranar University in India. Dr. Arjunan is exploring scalable city-scale analytics techniques for benchmarking buildings.
Do any (or all) of these situations describe you?
If so, please (contact Dr. Clayton via email) to discuss upcoming projects. Research funding, scholarships, stipends, and grant affiliation are available. Previous projects that exemplify curiosity in any of the above points are desirable.
© 2017-2019 BUDS Lab