ACE (Accelerating Creativity and Excellence) aims to spark bold, creative and unconventional ideas at the intersections of research disciplines.
ACE wants to provide unfettered support for outstanding research projects whose results constitute an original contribution to a field of expertise, a new methodological approach or a solution to solving a challenge and problem.
We invite researchers across NTU to submit their proposals for consideration and successful applicants will be given the freedom and necessary support to conduct their independent research.
How to Apply?
Open to all faculty at NTU, invitation to apply for ACE funding will be launched twice yearly in October and April.
Interested applicants shall be asked to complete an application form outlining their research project of interest and submit the completed proposals to firstname.lastname@example.org
CriteriaIn evaluating the proposals, the Selection Committee will consider the project's originality, importance and relevance to their respective fields of disciplines. The project must include participating faculty from at least two different Colleges and/or research institutes to be eligible for consideration.
Value and Duration
Toward better future: Merging the lines between Fashion, Materials Science, Computer Science and EngineeringPI: Galina Mihaleva (ADM)
Co-PI: Ong Yew Soon (SCSE); Chen Xiaodong (MSE)
Design and development of digital coaching environment for Deeper Experiential Engagement Projects: co-evolution of education with Artificial IntelligencePI: Sze Chun Chau (SBS)
Co-PI: Wilson Goh Wen Bin (SBS); Tan Ooi Kiang (EEE); Christopher John Hill (SOH); Chua Bee Leng (NIE); Stefanie Chye Yen Leng (NIE)
Tracking seeds and their animal dispersers in tropical forests: using engineering advances to address long-standing challenges in biodiversity conservationPI: Norman Lim T-Lon (NIE)
Co-PI: Lee Yee Hui (EEE);Shawn Lum Kaihekulani Yamauchi (ASE)
Co-PI: Benoit Taisne (ASE)
Co-PI: Chew Lock Yue (SPMS)
Tracing Early Trading in Singapore Using Geochemical Fingerprints and Artificial Intelligence on Archaeological ArtefactsPI: Ivy Yeh Hui-Yuan (SOH)
Co-PI: Wang Xianfeng (ASE); Wen Yonggang (SCSE)
Co-PI: Tay Wee Peng (EEE);Sun Aixin (SCSE)
Artificial Intelligence for the Prediction of Alternative Splicing from Epigenomics and Transcriptomics Data in CancerPI: Melissa Fullwood (SBS)
Co-PI: Kwoh Chee Keong (SCSE); Francesc Xavier Roca Castella (SBS)
Collaborator: Kelin Xia (SPMS)
Co-PI: Boh Wai Fong (NBS); S. Viswanathan (NBS); Kwan Min Lee (WKWSCI)
From https to httpQ: envisioning ethics, security and trust in a world with quantum computers. (Q is for quantum)PI: Koh Teck Seng (SPMS)
Co-PI: Christina Chuang (SOH)
Collaborator: Chew Lock Yue (SPMS)
Co-PI: Guo Jian (SPMS); Xu Hong (SSS)
Co-PI: Ling Xing Yi (SPMS); Zheng Yuanjin (EEE); Balázs Zoltán Gulyás (LKCM)
Towards a green future: improving urban farming under tropical weather conditions, for locally-grown vegetables of high qualityPI: Ma Wei (SBS)
Co-PI: Huang Chang Jin(MAE); Hsia Jimmy K (MAE); Chen Wei Ning William (SCBE); Shirley S. Ho (WKWSCI)
Co-PI: May O. Lwin (WKWSCI); Theng Yin Leng (WKWSCI/ARISE); Chia Yong Hwa Michael (NIE); Vivien Huan (NIE); Ho Moon-Ho Ringo (SSS/ARISE); Joty Shafiq Rayhan (SCSE)
Robots as Medical Professionals: Unpacking and Mitigating Public’s Resistance towards Rehabilitation RobotsPI: Sharon Ng;
Co-PI: Domenico Campolo (MAE);
Collaborator: Gabriel Aguirre Ollinger (ARTICARES Pte Ltd) ; Wee Seng Kwee (Tan Tock Seng Hospital)