Jingjing Deng  邓晶晶

  Assistant Professor (PhD, FHEA)

  Rand2AI Lab, VIViD Group in Durham

  Computer Science, Durham University, UK


I am an Assistant Professor in the Computer Science Department at Durham University, UK. My research interests are in computational and mathematical intelligence and its applications to biomedical imaging and physical sciences.

In recent years, I have been working on the following topics:

  • Generative Inversion & Privacy-Preserved Learning
  • Accessible US & EM Imaging for Health Surveillance

I am actively seeking collaborative opportunities motivated by industrial practices and academic theories across disciplines.

University    G-Scholar    DBLP    ORCID    arXiv    GitHub

Selected Publications

For the most recent works, the pre-print can be found on arXiv, the code are hosted on GitHub.

Research Students & Visiting Scholars

I am very fortunate to work with the following colleagues and students.

For prospective students who are interested in reading a Ph.D with me on medical image analysis and artificial intelligence, please email me with your CV and research statement. I am expecting you have a solid background in computer science or applied mathematics or related subjects, (i.e. pure mathematics, physics, EEE), professional programming skills, a deep sense of curiosity, and persistence. A recommendation letter directly from your current supervisor is essential. If there is no explicit evidence to demonstrate your research skills (i.e. publications on recognisable venues, open-source project experience), another recommendation letter from an academic referee is also required. You need to meet the entry requirements of University.

There are a number of EPSRC/university/faculty/departmentally funded Ph.D studentships at Durham every year which (most-likely-only) cover a tuition fee at the UK-Home level and a living stipend. The deadline for applying is typically in early Jan with a decision being made in Feb/Mar and a non-negotiable start date of 1st Oct. You need to secure an (unconditional) offer before submitting your studentship application. The studentship is very competitive, and the applicants are assessed by an award committee mainly based on applicants' performance, potential, track record and academic background. If you are interested, please get in touch with me by 15th Nov for the coming round.

国家公派出国留学项目: For Chinese students, I am more than happy to support your CSC applications. More information can be found here or there. The scholarship will cover the full cost of tuition fees, annual allowance etc. to successful Chinese national candidates.

Grants and Projects

My works have been funded by the following research councils and industry partners in various ways. I am grateful for the supports.

Our team support open-source and open-science initiatives in a greatest possible manner under the permission of ethics, privacy, confidentiality and commercial agreements. We are expecting the potential collaborators are also in favor of the openness .

Professional Activities and Awards

Teaching and Mentoring

I am a Fellow of the Higher Education Academy (FHEA). I led the assessment office of CS department at Swansea University between 2019 to 2022. I am teaching or had taught the following modules:

Office Hour: Wednesday 3pm-5pm (Book an appointment via Calendly).

Email Response: I will try my best to respond you ASAP, but it does not guarantee my response can meet your expectation. A gentle reminder is always welcome. (A) For module related queries, I will answer them in a batch manner on Monday & Wednesday & Friday. (B) For any other urgent queries, I will answer them on a daily basis given that I have time to do so.

Academic Reference: For University students, please note that I am NOT able to provide you academic references UNLESS you are working with me on your dissertation projects. You should ALWAYS ask permission to pass my contact to your employer or University admission office for every reference. Please be mindful of how many references you are requesting.

Rand2AI Lab

We are a group of enthusiastic researchers from VIViD group at Durham University, and SwanseaVision group at Swansea University, with common interests in general machine learning and artificial intelligence ranging from theory through methodology to application in biomedical science. We focus on studying robustness of machine learning models including privacy and security properties, generative learning using probabilistic graphical models with minimum supervision, and learning theories facilitated from stochastics analysis, differential geometry and statistical physics.

Updated: Feb 2023