"Rise like Lions after slumber
In unvanquishable number,
Shake your chains to earth like dew
Which in sleep had fallen on you -
Ye are many - they are few"
Percy Bysshe Shelley
It is this time of the year again and the paper submissions call for the 21th ACM SIGGRAPH European Conference on Visual Media Production (CVMP 2024) is live.
The range of vision topics accepted at the conference is extremely broad from raw acquisition to visual effects, catering to the interests of both academics and industry practioners.
I am delighted as ever to serve on the Programme Committee of the conference. I hope you consider submitting to this young researcher friendly local annual event!
I am pleased to serve on the Programme Committee of the 20th ACM SIGGRAPH European Conference on Visual Media Production (CVMP 2023) this year once again.
The conference has always been an excellent local event bringing together academics and industry practioners in the field of computer vision and graphics, with many interesting talks and impressive demos of cutting-edge
media production. The conference is also a friendly and accessible venue for postgraduates just starting out in research.
I am delighted about the publication of
a past project's interdisciplinary journal paper
in the Proceedings of the National Academy of Sciences (PNAS)! The paper reports
exciting experimental psychology research findings on individual differences in emotion recognition.
To conduct human participant studies, our project partners at QMUL used our
EmoGen facial modelling tool, which employs genetic algorithms
to enable a non-expert user to evolve custom target expressions. The details of the tool's operating principles
can be found in this technical report.
I am pleased that the developed tool and the associated methods for facial expression quantification and similarity
assessment have been shown fit for purpose in experimental psychology research.
Another good news is that I have now obtained my Fellowship of Higher Education Academy (FHEA),
a form of accreditation for Lecturers and other teaching staff in Higher Education in the UK. The fellowship is awarded for conscious engagement with different aspects of teaching and
requires commitment to professional values and standards. Personally, I find both theoretical pedagogy
and its translation to application in practical situations fascinating to explore.
This year I am offering to supervise a project on reflectance modelling. Prior research related to the project is illustrated here. Also relevant is the work on reflectance-independent geometry acquisition (including datasets).
I would like to wish everyone a Merry Christmas and a fantastic new year! The best is always yet to come.
I am now Lecturer in Artificial Intelligence at the Department of Computer Science, University of Bath.
I am currently looking for new long-term opportunities to apply my knowledge and experience in academic research, teaching in Higher Education and/or scientific publishing. My areas of expertise include 3D reconstruction and modelling of dynamic scenes, graphics, image content analysis (low-level vision), Bayesian machine learning and artificial intelligence (machine vision). Some of my prior research work is outlined below with further details under Projects and Publications tabs.
Lecturer in Artificial Intelligence
Fellow of Higher Education Academy (FHEA)
Experienced post-doctoral researcher
PhD in 3D computer vision
BSc and MSc in Electrical Engineering