The AYL (A Yang Lab) at Imperial College London, led by Dr. Guang Yang, focuses on developing artificial intelligence (AI)-powered applications for biomedicine, including Smart Imaging, Big Data Analysis, and AI in Drug Discovery. AYL is situated at Imperial College White City Campus. Our Values can be found here.
📢📝 Call for PhD students
I have many enquires about PhD admission and here are my criteria and a few suggestions. Please read before contacting me (see our Values as well).
🏆 I assume that you have some research experience, such as programming, reading and writing papers, and basic statistical skills.
💪 You should be self-motivated, and I am here as a resource for you.
☎️ Communication is crucial, and you will 'work with' me, not 'for' me.
Peculiar facts at my research lab:
🎠 To reach your PhD viva, I do not have a requirement for publications. This depends on your motivation and career plan. Having fewer publications makes my life easier.
⛵️ Please consider leaving my lab after 4 years. Typically, a PhD in the UK takes 3.5 years, and you are not obligated to stay after your PhD. I encourage change, and I am always eager to see new faces.
🏖 I value my personal life and privacy. I want people to know that I know what I'm doing, but I don't want them to know the specifics of what I'm doing.
💰💌 PhD studentships can be found below:
• President's PhD Scholarship Scheme (Currently not available in my lab because of someone 💯)
• Royal Commission 1851 Industrial Fellowships (Please contact me for details)
• China Scholarship Council (China)
• Imperial Marshall Scholarship (USA)
• Conicyt-Imperial Scholarship (Chile)
• High income Commonwealth PhD Scholarship (eligible countries only)
• Commonwealth PhD Scholarship (eligible countries only)
• Commonwealth Split-site Scholarship (eligible countries only)
• All Scholarship Schemes (scholarship search tool)
Find details about the PhD program in the Department of Bioengineering click here. For general information on tuition fees and the cost of living in London, refer to this link. Explore additional sources of PhD funding click here and here (Bioengineering funding). External scholarships are also available here. Before reaching out, ensure that you meet the prerequisites for application and entry established by Imperial College.
🎏 Postdoc fellowships can be found below; please share with me your brilliant ideas and I will support your application:
• Royal Commission 1851 Research Fellowships
• Imperial College Research Fellowships
• Eric and Wendy Schmidt AI in Science Postdoctoral Fellow
• Leverhulme Trust
• Marie Sklodowska-Curie Individual Fellowship
• British Council Women in STEM Fellowship (South Asia)
• HFSP Postdoctoral Fellowships
📢🎓 MRes Bioengineering (2024-2025 round) at Imperial College London is open now
Apply here:
https://www.imperial.ac.uk/study/courses/postgraduate-taught/bioengineering-mres/
You can choose my projects:
https://www.imperial.ac.uk/bioengineering/study/postgraduate-research/mres-bioengineering/projects/
📢 IEEE Conference on Artificial Intelligence (IEEE CAI 2024):
https://ieeecai.org/2024/authors/
📜📝🖋 Call for Papers:
Special issue call: “Special Issue on Large Language Models (LLMs) and Cross-Modal Generative AI” in the IEEE Transactions on Big Data.
Please contact Lead Guest Editor: Dr Guang Yang for potential submissions.
Submission deadline: 30 November 2023
https://www.computer.org/digital-library/journals/bd/cfp-llms-and-cross-modal-generative-aiSpecial issue call: “Federated Learning in Digital Healthcare: New Discoveries, Advances and Applications” in the Patterns journal (Cell Press).
Invited papers will have Article Processing Charges waiver. Please contact Lead Guest Editor: Dr Guang Yang for potential submissions.
Submission deadline: 30 April, 2023
https://www.cell.com/patterns/special-issues/call-for-papers/federated-learning-in-digital-healthcare
Frontiers in Cardiovascular Medicine (Impact Factor: 5.846)
Deadline for manuscript submissions: 02 May 2023
Generative Adversarial Networks in Cardiovascular Research
https://www.frontiersin.org/research-topics/45072/generative-adversarial-networks-in-cardiovascular-research
Frontiers in Physics (Impact Factor: 3.718)
Deadline for manuscript submissions: 15 June 2023
Physics-Informed Medical Data Analysis
https://www.frontiersin.org/research-topics/42798/physics-informed-medical-data-analysis
Sensors Journal (Impact Factor: 3.576)
Deadline for manuscript submissions: 31 July 2023
Computational Imaging, Sensing and Analysis for Biomedical Applications
https://www.mdpi.com/journal/sensors/special_issues/computational_imaging_sensing
Sensors Journal (Impact Factor: 3.576)
Deadline for manuscript submissions: 15 May 2022
Advanced Trustworthy and Privacy Preserved Image Processing and Pattern Recognition Methods for Biomedical and Clinical Applications
https://www.mdpi.com/journal/sensors/special_issues/Image_Pattern_Biomedical
Frontiers in Oncology (Impact Factor: 6.244)
Volume I Deadline for manuscript submissions: 16 December 2021; Volume II in preparation
Advances and New Insights into Cancer Characterization: When Novel Imaging Meets Quantitative Imaging Biomarkers
https://www.frontiersin.org/research-topics/23485/advances-and-new-insights-into-cancer-characterization-when-novel-imaging-meets-quantitative-imaging
Physics in Medicine & Biology (Impact Factor: 3.609)
Deadline for manuscript submissions: 30 November 2021
Focus on Machine Learning Models in Medical Imaging
https://iopscience.iop.org/journal/0031-9155/page/Focus%20on%20Machine%20Learning%20Models%20in%20Medical%20Imaging
Frontiers in Computational Neuroscience (Impact Factor: 2.380)
Deadline for manuscript submissions: 02 November 2021
Advances in Machine Learning Methods Facilitating Collaborative Image-based Decision Making for Neuroscience
https://www.frontiersin.org/research-topics/21345/advances-in-machine-learning-methods-facilitating-collaborative-image-based-decision-making-for-neur
"Our major obligation is not to mistake slogans for solutions." — Edward R. Murrow
🤣 Real life #joke Alert!
— Guang Yang (@gyangMedIA) April 11, 2024
During my visit to the USA, I couldn't help but notice numerous #roadsigns saying "XING". Naturally, I thought they were paying homage to my #brilliant #PhD #student Xiaodan "Xing"!
End of my dry humour 😂
🔮 Dr Xing, your future is as bright as your intellect! Can't wait to witness the next chapter of your remarkable journey. Keep shining! 🌟🎓
— Guang Yang (@gyangMedIA) April 11, 2024
Please read her #publications here:https://t.co/5maI19skXN#PhD #SuccessStory #DrXing #GeniusAtWork #AcademicJourney #SyntheticData
Exploring the Potential of #DeepLearning in #Cardiac #DiffusionTensorImaging #Reconstruction https://t.co/BHeyXb6MfF pic.twitter.com/cXmHh17EcT
— Guang Yang (@gyangMedIA) April 9, 2024
— Guang Yang (@gyangMedIA) April 11, 2024
🥁 Today, after an intense 3-hour #viva, #Dr Yang Nan emerges triumphantly! 🎉👨🎓 As his proud #supervisor, witnessing his journey from start to success fills me with immense joy! 🚀📚 Massive thanks to our examiners and clinical co-supervisor for their invaluable support! 👏🙌
— Guang Yang (@gyangMedIA) April 5, 2024
And oh, guess who won the smiling contest? Yup, it's me! 😄💫 #SmileChampion #PhDProud #SuccessStory #ImperialCollege #Bioengineering #PhD #celebration pic.twitter.com/HA6ofMvI96
— Guang Yang (@gyangMedIA) April 5, 2024
🌟✨ Incredible milestone alert! 🌟✨ Thrilled to share our project's success at the WellcomeLeap Dynamic Resilience Performers Conference! 🧠💡
— Guang Yang (@gyangMedIA) March 14, 2024
Efficient teamwork and international collaborations have been at the core of our journey, driving innovation forward! 🌍🤝
— Guang Yang (@gyangMedIA) March 14, 2024
📢 Exciting News 🚀 Our article on #AI for #COVID19 identification is out in Current Opinion in Structural Biology! 🦠💻 Dive into #postCOVID, exploring challenges & solutions in AI diagnostics. Let's shape a resilient future together! 💪🌟 Read it here: https://t.co/ks3SnHIHam pic.twitter.com/pwPwDiTTib
— Guang Yang (@gyangMedIA) February 15, 2024
"The true sign of intelligence is not knowledge but imagination.” — Albert Einstein
Scientists (Dr Guang Yang and Zhangming Niu) at Imperial College London, UK and MindRank AI in Hangzhou, China, used predictive algorithms informed by machine learning to identify molecules capable of promoting the degradation of damaged mitochondria, a process known as mitophagy. Their virtual screen yielded a list of 18 compounds. Working with gerontologist Prof Evandro Fang at the University of Oslo and pharmacologist Prof Jia-Hong Lu at the University of Macau, the group then used human cells, worms and mice to winnow this list down to two drug candidates, both of which target a protein called PINK1 — an important mediator of mitochondrial quality control. Late last year, the researchers showed how the drugs helped to improve memory in worm and mouse models of Alzheimer’s disease.
More Info"This study is another important step toward gadolinium-based contrast agent–free cardiac imaging and complements other native techniques such as T1- and T1-rho mapping, feature tracking, and the recently described, highly interesting approach by Baessler et al who studied the ability of texture analysis or radiomics to detect the presence and extent of left ventricle myocardial scar tissue from a single end-diastolic cine imaging frame. It is likely that a combination of both methods—deep learning analysis of cardiac motion as described in the present study as well as analysis of subtle differences in left ventricle myocardial texture—can lead to even better results on a patient level. The authors are also to be commended for making their source code freely available for other investigators.” — by Prof. Tim Leiner
More InfoI am always looking for collaborators, good students and brilliant ideas!
More Info"Coming together is a beginning, staying together is progress, and working together is a success." — Henry Ford
⎈ Postdoc Research Associate,
National Heart and Lung Institute, Imperial College London
2021-now
⌘
Inverse Problems
Multifactorial Analysis
Diagnostic and Prognostic Models
⎈ Clinical Fellow,
National Heart and Lung Institute, Imperial College London
2021-now
⌘
Lung Fibrosis
COVID-19
Radiology
⎈ Postdoc Research Associate,
National Heart and Lung Institute, Imperial College London
2022-now
⌘
Segmentation
Explainable AI
Diagnostic and Prognostic Models
⎈ Postdoc Research Associate,
National Heart and Lung Institute, Imperial College London
2023-now
⌘
Federated Learning
Quantum Computing
Multifactorial Analysis
⎈ PhD Student,
Bioengineering Department, Imperial College London
⎈ Research Associate,
Bioengineering Department, Imperial College London
2021-now
⌘
Data Harmonisation
Unsupervised Segmentation
⎈ PhD Student,
Bioengineering Department, Imperial College London
⎈ Research Assistant,
Bioengineering Department, Imperial College London
2021-now
⌘
Federated Learning
Explainable and Trustyworthy AI
⎈ PhD Student,
Bioengineering Department, Imperial College London
⎈ Research Associate,
Bioengineering Department, Imperial College London
2021-now
⌘
Data Synthesis
Privacy-preserved Learning
⎈ PhD Student,
Bioengineering Department, Imperial College London
⎈ Research Assistant,
Bioengineering Department, Imperial College London
2021-now
⌘
Fast MRI
MRI Reconstruction
Generative Adversarial Networks
⎈ PhD Student,
Bioengineering Department, Imperial College London
Imperial President’s Scholarship Winner
2022-now
⌘
DT-CMR
Tractography
Super-resolution
⎈ PhD Student,
Bioengineering Department, Imperial College London
⎈ Research Assistant,
Bioengineering Department, Imperial College London
2022-now
⌘
Radiomics
Registration
⎈ PhD Student,
National Heart and Lung Institute, Imperial College London
2022-now (Part-time)
⌘
Prognositic Models
AI in Drug Discovery
⎈ PhD Student,
AI4Health CDT,
Computing Department, Imperial College London
2020-now
⌘
Fast MRI
MRI Reconstruction
Diffusion Tensor Cardiac MRI
⎈ PhD Student,
KCL-Imperial College Smart Medical Imaging CDT,
National Heart and Lung Institute, Imperial College London
2021-now
⌘
MRI Reconstruction
Sequence Programming
⎈ PhD Student,
KCL-Imperial College Smart Medical Imaging CDT,
National Heart and Lung Institute, Imperial College London
2021-now
⌘
MRI Reconstruction
Spiral Diffusion Tensor Cardiac MRI
⎈ PhD Student,
Bioengineering Department, Imperial College London
2022-now
⌘
PINN
Segmentation
Fetal Heart Data Analysis
⎈ PhD Student,
National Heart and Lung Institute, Imperial College London
2022-now
⌘
Active Learning
Explainable and Trustyworthy AI
Airway and Vessel Segmentation
⎈ PhD Student,
National Heart and Lung Institute, Imperial College London
2022-now
⌘
Diagnostic Models
Inforamtion Fusion
⎈ PhD Student,
Bioengineering Department, Imperial College London
2023-now
⌘
Graphics
Biomechanical Modelling
⎈ Visiting PhD Student,
National Heart and Lung Institute, Imperial College London
2023-now
⌘
Low Dose CT Reconstruction
⎈ Visiting PhD Student,
Department of Bioengineering, Imperial College London
2023-now
⌘
Federated Learning
⎈ Visiting PhD Student,
Department of Bioengineering, Imperial College London
2024-now
⌘
Quantitative MRI
⎈ MRes Student,
Department of Metabolism, Digestion and Reproduction,
Imperial College London
2023-2024
⌘
Prognostic Models
⎈ MRes Student,
Department of Computing,
Imperial College London
2023-2024
⌘
Clinical Report Synthesis
⎈ MRes Student,
Department of Computing,
Imperial College London
2023-2024
⌘
Super-resolution
⎈ MRes Student,
Department of Surgery and Cancer,
Imperial College London
2023-2024
⌘
Explainable AI Models
⎈ MEng Student,
Department of Bioengineering,
Imperial College London
2023-2024
⌘
Synthetic Models
⎈ MEng Student,
Department of Bioengineering,
Imperial College London
2023-2024
⌘
Quantum Computing
⎈ MEng Student,
Department of Bioengineering,
Imperial College London
2023-2024
⌘
Segmentation
⎈ MSc Student,
Department of Bioengineering,
Imperial College London
2023-2024
⌘
Synthetic Models
⎈ MSc Student,
Department of Bioengineering,
Imperial College London
2023-2024
⌘
Super-resolution
⎈ MSc Student,
Department of Bioengineering,
Imperial College London
2023-2024
⌘
Super-resolution
⎈ UROP Student,
Department of Computing,
Imperial College London
2023-now
⌘
Myocardium Infarction Segmentation
⎈ MRes Student,
Department of Computing,
Imperial College London
2022-2023
⌘
Myocardium Infarction Segmentation
⎈ MRes Student,
Department of Computing,
Imperial College London
2022-2023
⌘
COVID CT Segmentation
⎈ MRes Student,
Department of Computing,
Imperial College London
2022-now
⌘
Histology Data Analysis
⎈ MRes Student,
Department of Computing,
Imperial College London
2022-2023
⌘
Instance Segmentation
⎈ UROP/MEng Student,
Bioengineering Department &
National Heart and Lung Institute, Imperial College London
2021-2023
⌘
Vecocity Mapping MRI
Cardiac MRI Segmentation
⎈ UROP/MEng Student,
Bioengineering Department &
National Heart and Lung Institute, Imperial College London
2021-2023
⌘
Vecocity Mapping MRI
Cardiac MRI Segmentation
⎈ UROP Student,
Bioengineering Department &
National Heart and Lung Institute, Imperial College London
2021-2023
⌘
Vecocity Mapping MRI
Cardiac MRI Segmentation
⎈ UROP Student,
Bioengineering Department &
National Heart and Lung Institute, Imperial College London
2021-2023
⌘
Vecocity Mapping MRI
Cardiac MRI Segmentation
⎈ UROP
Medical Biosciences,
Imperial College London
2022-2023
⌘
Airway Segmentation
⎈ UROP Student,
Mathematics Department,
Imperial College London
2022-2023
⌘
Fuzzy Learning
⎈ MSc Student,
Department of Bioengineering,
Imperial College London
2022-2023
⌘
Synthetic Models
⎈ MEng/UROP Student,
Bioengineering Department &
National Heart and Lung Institute, Imperial College London
2019-2022
⌘
Vecocity Mapping MRI
Cardiac MRI Segmentation
⎈ UROP Student,
Faculty of Biology,
Cambridge University
2019-2022
⌘
Fast MRI
MRI Reconstruction
⎈ MRes Student,
Department of Computing,
Imperial College London
2021-2022
⌘
GAN Based Fast DT-CMR
⎈ MRes Student,
Department of Computing,
Imperial College London
2021-2022
⌘
Long/Short-term COVID Prognosis
⎈ MRes Student,
Department of Physics,
Imperial College London
2021-2022
⌘
Whole Heart Segmentation
⎈ UROP Student,
Cambridge University
2021-2022
⌘
Airway Segmentation
⎈ UROP Student,
Mathematics Department,
Imperial College London
2021-2022
⌘
Multi-organ Segmentation
⎈ UROP Student,
Mathematics Department,
Imperial College London
2021-2022
⌘
Multi-organ Segmentation
⎈ UROP Student,
Department of Radiology,
Cambridge University
2021-2022
⌘
Biomedical Image Segmentation
"Teaching is the greatest act of optimism." — Colleen Wilcox
BIOE70074 MSc Journal Club Computational stream
https://www.imperial.ac.uk/study/courses/postgraduate-taught/biomedical-engineering-computational/
This is the cohort module, in which we will read exciting papers in the fields of computational bioengineering together.
We will meet on Mondays 12-1pm, in RSM303 seminar room, in person.
Module leader:
Dr Guang Yang (g.yang@imperial.ac.uk)
Module GTA:
Miss Xiaodan Xing (x.xing@imperial.ac.uk)
One of the challenges of a course on image processing is the very high rate at which the field is evolving. Another is to provide educational content in such a way that students who have come either from engineering or biological sciences can find a way to make connections with ideas they have met before, or to concepts which they will meet elsewhere in one of the many streams of the Bioengineering department.
Lecturers:
Prof Anil A Bharath
Dr Guang Yang
RSM- 228 - Bagrit Lecture Theatre
BIOE70074 MSc Journal Club Computational stream
https://www.imperial.ac.uk/study/courses/postgraduate-taught/biomedical-engineering-computational/
This is the cohort module, in which we will read exciting papers in the fields of computational bioengineering together.
We will meet on Mondays 12-1pm, in RSM303 seminar room, in person.
Module leader:
Dr Guang Yang (g.yang@imperial.ac.uk)
Module GTA:
Miss Xiaodan Xing (x.xing@imperial.ac.uk)
One of the challenges of a course on image processing is the very high rate at which the field is evolving. Another is to provide educational content in such a way that students who have come either from engineering or biological sciences can find a way to make connections with ideas they have met before, or to concepts which they will meet elsewhere in one of the many streams of the Bioengineering department.
Lecturers:
Prof Anil A Bharath
Dr Guang Yang
RSM- 228 - Bagrit Lecture Theatre
BIOE70074 MSc Journal Club Computational stream
https://www.imperial.ac.uk/study/courses/postgraduate-taught/biomedical-engineering-computational/
This is the cohort module, in which we will read exciting papers in the fields of computational bioengineering together.
We will meet on Mondays 12-1pm, in RSM303 seminar room, in person.
Module leader:
Dr Guang Yang (g.yang@imperial.ac.uk)
Module GTA:
Miss Xiaodan Xing (x.xing@imperial.ac.uk)
One of the challenges of a course on image processing is the very high rate at which the field is evolving. Another is to provide educational content in such a way that students who have come either from engineering or biological sciences can find a way to make connections with ideas they have met before, or to concepts which they will meet elsewhere in one of the many streams of the Bioengineering department.
Lecturers:
Prof Anil A Bharath
Dr Guang Yang
RSM- 228 - Bagrit Lecture Theatre
We are always looking for collaborators to work together on UKRI Networking grant, ERC Horizon Europe grant,
National Natural Science Foundation of China international programme grant and other collaborative grant proposals.
"If you don't know where you are going. How can you expect to get there?" — Basil S. Walsh
ERC H2020 Funded Project
H2020-SC1-FA-DTS-2019-1 952172
Cancer Imaging
Artificial Intelligence
Decentralised Data Lake
Total Awards: €8,784,038.75
Awards to Imperial College London (fEC): £567,126.73
2020-2025 (Extended)
PI: Dr. Guang Yang
UKRI Funded Future Leaders Fellowship
MR/V023799/1
Smart Imaging
Super-Resolution
Multimodal Data Analysis
Cardiac MRI
Total Awards (fEC): £1,707,214.21
2021-2025
PI: Dr. Guang Yang
IMI Funded Project
H2020-JTI-IMI2
101005122
COVID-19 Research
Data Harmonisation
Federated Learning
Total Awards: €11,381,970.00
Awards to Imperial College London (fEC): £1,156,258.91
2020-2024 (Extended)
PI: Dr. Guang Yang
Wellcome Leap Dynamic Resilience
Delirium
Big Data
Cohort Analysis
Multimodal Data Analysis
Total Awards: $5,358,752
Awards to Imperial College London (fEC): £1,393,897.34
2023-2026
Co-PI: Dr. Guang Yang
Imperial College Healthcare NHS Trust- BRC Funding
AI-Based Prognosis Models For Progressive Lung Fibrosis Using Multimodal Data
Total Awards (fEC): £108,769.27
2022
Co-PI: Dr. Guang Yang
The Royal Society
4D-CINENet: Attentive Generative Adversarial Network Based Fast 4D Whole Heart CINE MRI
Total Awards (fEC): £44,909.20
2022-2025 (Extended)
Sole PI: Dr. Guang Yang
Imperial–Nanyang Technological University Collaboration Fund
Novel Noise Disentanglement Using Flow-based Joint Image and Noise Modelling: A Computational Imaging Application to Cardiovascular MR
Total Awards (fEC): £13,000
2022-2023
PI: Dr. Guang Yang
UKRI MRC with Korean Ministry of Science and ICT (MSIT) and National Research Foundation of Korea (NRF)
Fully Automatic Segmentation and Assessment of Atrial Scars for Atrial Fibrillation Patients Using LGE MRI: A Multicentre and Cross-National Research
Total Awards (fEC): £53,718.00
2021-2023 (Extended)
PI: Dr. Guang Yang
BHF Funded Project
PG/16/78/32402
LGE MRI
Segmentation
Domain Adaptation
GAN Based Reconstruction
Total Awards (fEC): £356,950.61
2017-2020
Co-PI: Dr. Guang Yang
Boehringer Ingelheim Funded Project
Data Synthesis
COVID-19 Research
Prognosis Prediction
Multifactorial Analysis
Total Awards (fEC): £1,339,284.44
2021-2024 (Extended)
Co-PI: Dr. Guang Yang
BHF Funded Project
TG/18/5/34111
Synthesis
Segmentation
Fast Imaging
Velocity Mapping
Awards: £27,617
2021-2022
Co-PI: Dr. Guang Yang
Multicentre Validation
Detection/Classification
LGE CMR Data Analysis
Total Awards (fEC): £53,718.00
2021-2022
PI: Dr. Guang Yang
Data Harmonisation
Whole Heart Segmentation
Motion Abnormality Detection
Total Awards: £7,416.13
2016, 2017, 2021
PI: Dr. Guang Yang
"Coming together is a beginning, staying together is progress, and working together is a success." — Henry Ford
If you are interested in medical data analysis, digital healthcare, AI applications please talk to us.
Postdocs and junior research fellows who are seeking for mentorship in Imperial College Research Fellowships, Marie Skłodowska-Curie Postdoc Fellowships, and Imperial-X Fellowships please contact Dr Guang Yang for further information.
New Opening: 2x Research Associates (Closing date 21 Dec 2023)New Opening: 2x Research Associates (Closing date 21 July 2022)New Opening: Research Associate (Closing date 23 November 2021)
"Publish or perish"