Research output per year
Research output per year
EH14 4AS
United Kingdom
Accepting PhD Students
PhD projects
Physics-informed deep learning for electromagnetic inverse problems in wireless biosensing.
Previous PhD:
• Antonio Rincon Quintero. Statistical modelling and quantification of EEG signals: Application to the characterisation and onset detection in epileptic seizures. PhD thesis, Instituto Tecnologico (ITBA) - Buenos Aires, Argentine, March 2018.
https://ri.itba.edu.ar/handle/123456789/1536.
• Carl Rizk. Contribution to the evaluation and optimisation of passenger screening at airports. PhD thesis, Uni Toulouse - INPT, France, December 2019.
https://oatao.univ-toulouse.fr/25815/1/Rizk.pdf.
• Abdelghafour Halimi. Statistical modelling and processing of confocal microscopy images: application to dermatology. PhD thesis, Uni de Toulouse - INPT, France, December 2017.
https://oatao.univ-toulouse.fr/19515/1/HALIMI_Abdleghafour.pdf.
• Facundo Hernan Costa. Bayesian M/EEG Source Localization with Possible Joint Skull Conductivity Estimation. PhD thesis, Uni de Toulouse - INPT, France, March 2017.
https://theses.hal.science/tel-04220263v1/file/COSTA_Facundo.pdf
• Meriem Djeddi. Modélisation statistique multifractale et segmentation par contours actifs d’images d’ultrasons de haute fréquence. Application au mélanome de la peau. PhD thesis, Uni Toulouse - INPT, France, Sept. 2015.
• Zacharie Irace. Modélisation statistique et segmentation d’images TEP. Application à l’hétérogénéité et au suivi de tumeurs pulmonaires. PhD thesis, Uni de Toulouse - INPT, France, Oct. 2014.
http://ethesis.inp-toulouse.fr/archive/00002815/01/irace.pdf.
• David Didierlaurent. Mise en cohérence spatiale et temporelle de données TEP-TDM acquises en respiration libre pour l’évaluation du cancer pulmonaire. PhD thesis, Uni de Toulouse - UPS, France, July 2013.
http://thesesups.ups-tlse.fr/2080/1/2013TOU30103.pdf.
• Marcelo A. Pereyra. Statistical modelling and processing of high-frequency ultrasound images: Application to dermatologic oncology. PhD thesis, Uni de Toulouse - INPT, France, July 2012.
http://ethesis.inp-toulouse.fr/archive/00001937/01/pereyra.pdf.
• Christelle Kaffa. Contribution à la Gestion des Opérations de la Sureté Aéroportuaire: Modélisation et Optimisation. PhD thesis, Uni. de Toulouse - INPT, France, Nov. 2010.
http://ethesis.inp-toulouse.fr/archive/00001485/01/jackou.pdf.
• Ali Mcheik. Modélisation statistique du speckle en OCT. Application à la segmentation d’images cutannées. PhD thesis, Uni de Toulouse - INPT, France, Oct. 2010.
http://ethesis.inp-toulouse.fr/archive/00001417/01/mcheik.pdf.
• Zehor Ouksili. Compensation du mouvement respiratoire dans les images TEP/TDM. PhD thesis, Uni de Toulouse - INPT, France, Mai 2010.
http://ethesis.inp-toulouse.fr/archive/00001214/01/ouksili.pdf.
• Marco Mora. Ensembles de niveaux robustes au speckle et recalage B-spline. Application à la segmentation et l’analyse de mouvement cardiaque par des images ultrasons. PhD thesis, Uni de Toulouse - INPT, France, Dec. 2008.
http://ethesis.inp-toulouse.fr/archive/00000658/01/mora_cofre.pdf.
• Christophe Piombo. Modélisation probabiliste du style d’apprentissage et application à l’adaptation de contenus pédagogiques indexés par une ontologie. PhD thesis, Uni de Toulouse - INPT, France, October 2007.
http://ethesis.inp-toulouse.fr/archive/00000524/01/piombo.pdf.
• Clovis Tauber. Filtrage anisotrope robuste et segmentation par B-Spline snake : application aux images échographiques. PhD thesis, Uni de Toulouse - INPT, France, Feb 2005.
http://ethesis.inp-toulouse.fr/archive/00000035/01/tauber1.pdf.
• Michael Weeks. Improved continuous-media server I/O subsystem architectures. MPhil thesis, University of Teesside, Middlesbrough, UK, July 1999.
Research activity per year
Computational Imaging, Machine Learning, Neuro-Symbolic-AI, Hybrid bioinspired and deep learning models with applications to Medical imaging and Computer vision.
To date, Hadj has published 160 research outputs in peer-reviewed academic journals and international conferences with an h-index of 26, in addition to supervising 15 PhD theses.
Dr Hadj Batatia has been an Associate Professor at the School of Mathematical and Computer Sciences (MACS) at Heriot-Watt University Dubai (HWUD) since 2020. He is the Associate Director of Research for MACS Dubai. In this role, Hadj is responsible for setting the school research strategy and delivery plan, promoting research activities, and leading the local research coordination committee.
Before joining HWUD, Hadj was an Associate Professor in the Computer Science department of the National Polytechnic Institute of Toulouse (INP Toulouse), France. Previously, he was Director of the Graduate Apprenticeship in Computer Science, Head of the Computer Science department, and Associate Director of the School of Engineers at Conservatoire National des Arts et Métiers – Toulouse Campus, France.
His research focus is computational imaging, with particular interest in machine learning, statistical modelling and inference, partial differential equations, and variational methods for image and signal processing problems, with emphasis on medical imaging
He has taught courses in various subjects, including Advanced Machine Learning, Biologically Inspired Computation, Big Data Management, Systems Engineering, Artificial Intelligence, Medical Image Processing and Software Development at multiple levels (Diploma, Bachelor, Master). His combined experience in academia spans 30 years across France, the UK, Malaysia and currently the UAE. Throughout his academic career, Hadj has contributed to designing new curricula, updating existing ones, and creating and delivering continuous professional development programmes.
Hadj completed his MSc in Artificial Intelligence and his PhD in Computer Vision, respectively, in 1987 and 1992 at the University of Toulouse in France, having undertaken his undergraduate studies at the University of Algiers in Algeria. He is fluent in English, French, and Arabic. In his free time, Hadj enjoys reading history, hiking, mountain trekking, and gardening.
Current roles
Previous roles
Statistical modelling and inference in images
Partial derivative Equations and variational methods in image processing
Deep learning for image processing
Physics-informed deep learning in imaging
Inverse problems in images (detection, estimation, reconstruction, denoising)
Motion tracking and compensation (respiratory motions in PET/CT images)
Hadj Batatia is a researcher and educator specialising in machine learning, artificial intelligence, and biologically inspired computation. He has extensive experience in medical image processing and computer vision. He led multiple international research projects, supervised many PhDs, and published over 150 research papers. He is leading the research strategy and coordination at the school of Mathematical and Computer Sciences at Heriot-Watt University - Dubai.
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to conference › Paper › peer-review
Research output: Contribution to conference › Paper › peer-review
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Batatia, H. (Recipient), 24 Jan 2017
Prize: Other distinction
Batatia, H. (Recipient), 2 Feb 2017
Prize: Other distinction