人才100博士生獎學金計劃

為提升大學的研究實力及提高研究生培訓（特別是跨學科研究培訓方面）的水平，香港浸會大學推出了「人才100博士生獎學金計劃」（下稱「計劃」），透過快速安排招募優秀的博士生。

按計劃獲取錄的學生將由跨學科研究院（IIS）接待，為了更積極提供跨學科的博士生培訓課程，IIS會為學生舉辦專題研究培訓，讓他們在第一學年參與跨學科研究項目，以增強從事研究必需的各種技能；從第二年開始，學生將隸屬其主要導師所屬的學系。

跨學科研究項目納入以下六個跨學科研究實驗室中：

 

創造性智能實驗室

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計算醫藥學實驗室

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系統健康研究實驗室

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智能社會實驗室

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數據經濟實驗室

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人工智能的倫理與理論實驗室

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創造性智能實驗室

• Collaborative Artistic Production with Generative Adversarial Networks*

  Co-PIs: Dr. Peter Nelson (AP/AVA), Mr Daniel Shanken (AP/AVA), Dr. Roberto Alonso Trillo (AP/MUS), Dr. Francois Mouillot (RAP/MUS&HMW)

計算醫藥學實驗室

• Nanoparticle-Based Axonal Transport Probe for Screening Neurodegenerative Diseases*

  PI: Dr. Angelo All (ASP/CHEM); Co-I: Prof. Chris Wong (P/BIOL)

• Smart Fluorophores for Early Detection, Diagnostics to Therapeutics of Alzheimer’s Disease

  PI: Prof. Ricky MS Wong (P/CHEM); Co-I: Prof. Ricky MS Wong (P/CHEM)

• Toward the next generation of sclerostin inhibitors: validation of molecular targets and computation-based virtual screening of small molecule compounds*

  PI: Prof. Ge Zhang (P/SCM); Co-I: Dr. Dijie Li (Vis Res Scholar/SCM)

• Integrating big data and computational algorithms to decipher human gut microbiome with Chinese Medicine*

  PI: Dr. Eric Lu Zhang(AP/COMP); Co-I: Prof. Zhaoxiang Bian (Chair P/SCM)

• The functional role of Transcription Factor E3 (TFE3) on synaptic transmission and synaptic vesicle exocytosis independent of autophagy

  PI: Prof. Min Li (P/SCM); Co-Is: Prof. Ricky MS Wong (P/CHEM), Dr. Iyaswamy Ashok (RAP/SCM)

• The identification of novel TCM compounds and its mechanism of action against SARS-CoV-2 infection

  PI: Dr. Allen Ka Loon Cheung (AP/BIOL); Co-Is: Dr. King-Ho Cheung (ASP/SCM), Dr. Wei Shen Aik (AP/CHEM)

• Uncovering pharmacological principles of TCM with Machine Learning*

  PI: Dr. Liang Tian (AP/PHYS); Co-Is: Prof. Aiping Lyu (Chair P/SCM), Prof. Leihan Tang (P/PHYS) 

• Integrate the Chinese Medicine Function and structure modification to develop new remedy for ulcerative colitis*

  PI: Prof. Zhaoxiang Bian (Chair P/SCM); Co-I: Dr. Jun Wang (ASP/CHEM)

• Machine learning of tongue features and multimodal approaches for health measurements  

  PI: Dr. Shi Ping Zhang (ASP/SCM); Co-Is: Dr. Liang Lan (AP/COMP), Prof. Sung Nok Chiu (P/MATH)

• Towards Robust Representation Learning for Computer-Aided Diagnosis under Weakly Supervised Information*
  PI: Dr. Bo Han (AP/COMP); Co-I: Dr. William Cheung (ASP/COMP)

系統健康研究實驗室

• Nanoparticle-Based Axonal Transport Probe for Screening Neurodegenerative Diseases*

  PI: Dr. Angelo All (ASP/CHEM); Co-I: Prof. Chris Wong (P/BIOL)

• Toward the next generation of sclerostin inhibitors: validation of molecular targets and computation-based virtual screening of small molecule compounds*

  PI: Prof. Ge Zhang (P/SCM); Co-I: Dr. Dijie Li (Vis Res Scholar/SCM)

• Integrating big data and computational algorithms to decipher human gut microbiome with Chinese Medicine*

  PI: Dr. Eric Lu Zhang(AP/COMP); Co-I: Prof. Zhaoxiang Bian (Chair P/SCM)

• Uncovering pharmacological principles of TCM with Machine Learning*

  PI: Dr. Liang Tian (AP/PHYS); Co-Is: Prof. Aiping Lyu (Chair P/SCM), Prof. Leihan Tang (P/PHYS) 

• Integrate the Chinese Medicine Function and structure modification to develop new remedy for ulcerative colitis*

  PI: Prof. Zhaoxiang Bian (Chair P/SCM); Co-I: Dr. Jun Wang (ASP/CHEM)

• EEG (electroencephalogram) modes in autistic trait 

  PI: Prof. Changsong Zhou (P/PHYS); Co-I: Dr. Ming LUI (AP/EDUC)

• Digitizing cellular behaviours during embryogenesis

  PI: Prof. Zhongying Zhao (P/BIOL); Co-I: Dr. Jie Chen (AP/COMP)

• Machine Learning-Assisted Fabrication of Polyelemental CNP@MOF Core@Shell Nanostructures for Asymmetric Catalysis

  PI: Dr. Zhifeng Huang (ASP/PHYS); Co-I: Prof. Yike Guo (P/COMP)

• Machine Learning-Assisted Asymmetric Photocatalysis Induced by Circularly Polarized Light

  PI: Dr. Zhifeng Huang (ASP/PHYS)

• Risk Assessment for COVID-19: An Artificial Intelligence Approach 

  PI: Dr. Xian Yang (AP/COMP); Co-Is: Prof. Wei Jia (Chair P/SCM), Prof. Zhaoxiang Bian (Chair P/SCM),Prof. Yike Guo (P/COMP)

• Would cardiorespiratory exercise and Chinese herbal medicine facilitate rehabilitation from pulmonary fibrosis among post-discharge patients with COVID-19? Clinical efficacy and mechanisms

  PI: Dr. Yang Gao (ASP/SPEH); Co-Is: Prof. Yike Guo (P/COMP), Prof. Zhaoxiang Bian (Chair P/SCM); Prof. Wei Jia (Chair P/SCM), Prof. Julien Baker (P/SPEH)

• Environmental Exposure and Human Health

  PI: Prof. Zongwei Cai (Chair P/CHEM); Co-Is: Prof. Zongwei Cai (Chair P/CHEM), Dr. Meng Gao (AP/GEOG)

• Mass spectrometry-based omics and imaging techniques for environmental pollution-associated human diseases and potential drug targets

  PI: Prof. Zongwei Cai (Chair P/CHEM); Co-I: Prof. Min Li (P/SCM)

• The positive effects of online mindfulness-based intervention for Hong Kong people with emotional distress due to Covid-19

  PI: Dr. Daniel Young (ASP/SOWK); Co-I: Prof. Petrus Ng (P/SOWK)

• Aspiring for Global Health Leadership amid a Shifting World Order —  China’s Health Silk Road*

  PI: Dr. Emilie Tran (AP/GIS); Co-I: Prof. Yahia Zoubir (External)

• Artificial Intelligence, Air Pollution, and Human Health*

  PI: Dr. Meng Gao (AP/GEOG); Co-Is: Dr. Xian Yang (AP/COMP), Prof. Ken Yung (P/BIOL)

• Understanding Machine Learning for Spatio-Temporal Analytics in Health Risk Prediction and Mapping – An Information-Theoretic Perspective*

  PI: Prof. Jiming Liu (Chair P/COMP); Co-I: Dr. Yang Liu (AP/COMP)

• Towards Robust Representation Learning for Computer-Aided Diagnosis under Weakly Supervised Information*
  PI: Dr. Bo Han (AP/COMP); Co-I: Dr. William Cheung (ASP/COMP)

智能社會實驗室

• Life-long learners in a disruptive world: digital resources for continuing education and training (CET) in Hong Kong, Singapore, South Korea, and/or Taiwan

  PI: Dr. Kenneth Tan (P/JOUR);  Co-I: Prof. Yu Huang (P/JOUR)

• Exploring the role of big data analytics (BDA) in promoting smart low-carbon cities: A human-centered, community-based, and deep engagement approach in Hong Kong

  PI: Dr. Daphne Mah (AP/GEOG); Co-Is: Byron Choi (ASP/COMP), Kwok Pan Chun (AP/GEOG), Kevin Tek Sheng Lo (AP/GEOG)

• Organic Near-Infrared Sensor Platform Technologies and Applications 

  PI: Prof. Fu Rong Zhu (P/PHYS); Co-I: Prof. Zongwei Cai (Chair P/CHEM)

• Smart energy consumption of Hong Kong households based on changing weather conditions and saving practices

  PI: Dr. Kwok Pan Chun (AP/GEOG); Co-Is: Dr. Byron Choi (ASP/COMP), Dr. Daphne Mah (AP/GEOG), Dr. Kevin Tek Sheng Lo (AP/GEOG)

• Smart water management using data-driven hydrological model based on artificial intelligence and big data
  PI: Prof. Qiming Zhou (P/GEOG); Co-I: Dr. Jianfeng Li (AP/GEOG)

• Explanation of smart energy consumption of Hong Kong households via shapelet-based time series clustering 

  PI: Dr. Byron Choi (COMP); Co-I: Dr. Daphne Mah (GEOG)

• Aspiring for Global Health Leadership amid a Shifting World Order —  China’s Health Silk Road*

  PI: Dr. Emilie Tran (AP/GIS); Co-I: Prof. Yahia Zoubir (External)

• Artificial Intelligence, Air Pollution, and Human Health*

  PI: Dr. Meng Gao (AP/GEOG); Co-Is: Dr. Xian Yang (AP/COMP), Prof. Ken Yung (P/BIOL)

• Collaborative Artistic Production with Generative Adversarial Networks*

  Co-PIs: Dr. Peter Nelson (AP/AVA), Mr Daniel Shanken (AP/AVA), Dr. Roberto Alonso Trillo (AP/MUS), Dr. Francois Mouillot (RAP/MUS&HMW)

• Understanding Machine Learning for Spatio-Temporal Analytics in Health Risk Prediction and Mapping – An Information-Theoretic Perspective*

  PI: Prof. Jiming Liu (Chair P/COMP); Co-I: Dr. Yang Liu (AP/COMP)

• Urban environment, health and well-being in Hong Kong: accounting for the role of daily activity and time use patterns of different population groups
  PI: Prof. Donggen Wang (P/GEOG); Co-I: Prof. Pak Kwong Chung (P/SPEH), Prof. Richard Bernhart Owen (P/GEOG)

數碼經濟實驗室

• Model Checking for Causal Effects from Economic Data

  PI: Dr. Tiejun Tong (ASP/MATH); Co-I: Prof. Lixing Zhu (Chair P/MATH)

人工智能的倫理與理論實驗室

• Automatic verification system via knowledge graph reasoning and inconsistency identification in online encyclopedia

  PI: Dr. Jing Ma (AP/COMP); Co-I: Dr. Yin Zhang (AP/JOUR)

• “Robots are going to kill us!”: Exploring sci-fi blockbusters’ representation of female cyborgs and its impacts on audiences’ perception of human-machine communication

  PI: Dr. Xinzhi Zhang (AP/JOUR); Co-Is: Dr. Paolo Mengoni (Lecturer/JOUR), Dr. Li Cui (External), Dr. Nancy Guo (External)

• Using AI to gauge reader response to literary narratives

  PI: Dr. Wai Ping Yau (ASP/TIIS); Co-I: Dr. Sai Cheong Siu (External)

• Understanding Machine Learning for Spatio-Temporal Analytics in Health Risk Prediction and Mapping – An Information-Theoretic Perspective*

  PI: Prof. Jiming Liu (Chair P/COMP); Co-I: Dr. Yang Liu (AP/COMP)

* 橫跨多個實驗室的研究項目