人才100博士生奖学金计划

为提升大学的研究实力及提高研究生培训（特别是跨学科研究培训方面）的水平，香港浸会大学推出了「人才100博士生奖学金计划」（下称「计划」），透过快速安排招募优秀的博士生。

按计划获取录的学生将由跨学科研究院（IIS）接待，为了更积极提供跨学科的博士生培训课程，IIS会为学生举办专题研究培训，让他们在第一学年参与跨学科研究项目，以增强从事研究必需的各种技能；从第二年开始，学生将隶属其主要导师所属的学系。

跨学科研究项目纳入以下六个跨学科研究实验室中：

 

创造性智能实验室

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计算医药学实验室

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系统健康研究实验室

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智能社会实验室

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数据经济实验室

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人工智能的伦理与理论实验室

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创造性智能实验室

• 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)

计算医药学实验室

• 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)

系统健康研究实验室

• 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)

智能社会实验室

• 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)

数码经济实验室

• Model Checking for Causal Effects from Economic Data

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

人工智能的伦理与理论实验室

• 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)

* 横跨多个实验室的研究项目