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Advisors

Shirley Wong

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Immediate Past Chairman, Singapore Infocomm Technology Federation (SiTF)

Managing Partner, TNF Ventures Pte Ltd

Shirley Wong is an entrepreneur with more than 28 years of experience in the IT & Technology industry. She is currently the Managing Partner of TNF Ventures Pte Ltd, an early-stage investor and incubator. Prior to this, she oversaw the management and operation of the BT Frontline Group in Asia Pacific, driving the professional services business for IT Security, Healthcare and Applications Development. She was also the Chairman of the Singapore Infocomm Technology Federation from 2013 to 2016.

Shirley co-founded Frontline Technologies in 1994 and grew the company from a modest team of just eight to a workforce of 5,000 professionals across 11 countries in Asia Pacific. The company was acquired by British Telecom Global Services in March 2008 before it was listed on the SGX in March 2001.

She has been active in the startup scene, helping startups to secure funding, access resources, develop market connections and go to market. She is incredibly passionate about entrepreneurship and is excited to help build the startup community in Singapore. She is regularly invited to judge at various entrepreneurship events such as the President Science & Technology Awards, National Infocomm Awards, SiTF Awards and Asia Pacific ICT Awards, to name a few.

Shirley serves on the board of the Infocomm Media Development Authority of Singapore (IDA), Singapore Science Center, Assurity Trusted Solutions, National Kidney Foundation. She also serves as Co-chairman of the Cyber Security Awareness Alliance, Vice Chairman of South Asia Business Group, Chairman of NKF Volunteer and Patient Advocacy Committee, and is a member of Temasek Polytechnic’s IT School Advisory Council and an Entrepreneur-in-Residence at Singapore Management University.

 




Dr. Yang Dazhi

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Research Scientist, Agency for Science, Technology and Research (A*STAR), Singapore

Dazhi has been a data scientist at A*STAR (Agency for Science, Technology and Research)—Singapore’s lead government scientific research, discovery and innovative technology agency—for the last seven years. His specialisation in solar resource assessment and forecasting has resulted in models that have outperformed the state-of-the-art univariate forecasting models by significant margins.


With a rich background in geometrical transformation, kriging and model output statistics, Dazhi is familiar with major solar forecasting techniques. He is most accredited for his work in sensor network-based forecasting utilising spatial-temporal correlations observed through irradiance sensor network and has a rich experience in urban to continental scale solar irradiance monitoring networks.


Dazhi also conducts research in both structured and unstructured data mining, as well as machine learning. A well-published author of over 50 articles and journals, he was nominated the youngest ever associate editor of Solar Energy—the official journal of the International Solar Energy Society—overseeing content in solar resources and data sciences.


Some of his more prominent publications include:


Dazhi Yang, On adding and removing sensors in a solar irradiance monitoring network for areal forecasting and PV system performance evaluation, In Solar Energy, Volume 155, 2017, Pages 1417-1430, ISSN 0038-092X, ( http://www.sciencedirect.com/science/article/pii/S0038092X17306461 )


Dazhi Yang, Hao Quan, Vahid R. Disfani, Licheng Liu, Reconciling solar forecasts: Geographical hierarchy, In Solar Energy, Volume 146, 2017, Pages 276-286, ISSN 0038-092X, ( http://www.sciencedirect.com/science/article/pii/S0038092X17301020 )


Dazhi Yang, Solar radiation on inclined surfaces: Corrections and benchmarks, In Solar Energy, Volume 136, 2016, Pages 288-302, ISSN 0038-092X, ( http://www.sciencedirect.com/science/article/pii/S0038092X16302432 )


Dazhi Yang, Zhen Ye, Li Hong Idris Lim, Zibo Dong, Very short term irradiance forecasting using the lasso, In Solar Energy, Volume 114, 2015, Pages 314-326, ISSN 0038-092X, ( http://www.sciencedirect.com/science/article/pii/S0038092X15000304 )