Jingjing Deng  邓晶晶

  Assistant Professor (PhD, FHEA)

  Rand2AI Team, VIViD Research Group

  Durham University, Computer Science, UK

   

I am an Assistant Professor of the Department of Computer Science at Durham University, as of . My research covers a range of topics in visual computing and deep learning. I lead the Rand2AI aiming to develop computational models that can cultivate and generalise intelligence from and for the complex visual world. We are actively working on challenging problems that are motivated by industrial practices and theoretical principles across fundamental disciplines.

University   G-Scholar   DBLP   arXiv   HuggingFace   GitHub

I am seeking research students interested in the following topics. While these projects are NOT funded, several open scholarships are available for potential candidates.

  1. Embodied AI Innovation in Healthcare & Consumer Technology

  2. Semantic Foundation Models for Geometrics & Motion & Texture

  3. Visual Computing & Deep Learning (CS/EE, General Sci./Eng.)

I warmly welcome collaborations on challenging problems with academics, provided that you are willing to commit your own intellect, time and effort, rather than delegating to PDRAs or students.

Please do NOT invite me to review unless you have first reached out to me for a preliminary discussion. Even then, I am likely to decline. Unsolicited requests will be discarded without reading.

I will be joining the School of Engineering Mathematics and Technology at University of Bristol in June 2025. For any new PGR application enquiry, please get in touch only if you can meet the entry requirements for University of Bristol.


Selected Work

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

Deep Learning

Visual Computing


Grant

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.


Team Member

So far, I have successfully supervised 1 Ph.D and 1 M.Res students up to their completion. I am very fortunate to work with the following colleagues and students.

Research Students

Visiting Scholars

For prospective students who are interested in reading a Ph.D with me on Visual Computing and Deep Learning, please email me with your CV and research statement. I am expecting you have a solid background in Computer Science, Electronic Engineering or related subjects, (i.e. Mathematics, Physics, Comm.), professional programming skills, a deep sense of curiosity, and persistence. You must meet the University entry requirements.

The following scholarships are limited and highly competitive. If you are interested, please get in touch with me by the 1st of Nov for the coming round.


Professional Service


Teaching

I am a Fellow of the Higher Education Academy (FHEA, 2022). I received Consistent Excellence in Teaching Award at Durham University (2023-2024). I had been leading the assessment office of Computer Science Department at Swansea University (2019-2022).

Ongoing Courses

Previous Modules

Office Hour: Wednesday 4:00pm-6:00pm (During Term Time, Book with Me) .

Email Response: I will try my best to get back to you ASAP, but it does not guarantee it 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 UG/PGT students, please note that I am NOT able to provide you academic references UNLESS (A) you are working directly with me (primary supervisor) on your dissertation projects for at least 3-months in the last 18-months, OR (B) you currently are my academic advisee. You should ALWAYS ask permission to pass my contact to your employer or University admission office for every reference. Any unauthorised reference request will be ignored. Please be mindful of how many references you are requesting.


Rand2AI

We are researchers with common interests in visual computing and artificial intelligence, spanning from theoretical foundations to practical applications in physical and social sciences using stochastic and geometric methodologies.

Updated: February 2025