Dr Ali Gooya

Profile

I joined the University of Leeds as a Lecturer in the September 2018. I obtained an MSc in Bioelectric Engineering from Tehran University and a PhD in Information Science from the University of Tokyo, supported by a Japanese Monbusho scholarship. In 2008, I was awarded a post-doctoral fellowship by Japan Society of Promotion of Science and shortly after, I moved to the University of Pennsylvania, USA, and worked on tumor image analysis till 2011. Subsequently, I served as an Assistant Professor at Tarbiat Modares University, Tehran. In 2014, I was awarded an IIF Marie-Curie Fellowship for statistical modeling of morphology and function of the heart in the University of Sheffield, where I was promoted to a Lecturer in the department of EEE prior to joining Leeds. 

Research interests

My research interest includes probabilistic machine and deep learning, variational Bayesian inference, graphical models, and medical image computing. I have a particular expertise in population imaging studies, generative models for shape and motion atlases, and computational tumor image analysis. 

Software and Tools - I have developed multiple tools that are available for free academic use. If you use them, please cite the corresponding references. I would be very thankful! 

• GLISTR: Glioma Image Segmentation and Registration, Model Personalization (IEEE TMI, 2012)
• Variational Bayesian Mixture of Probabilistic PCA for Shapes from Point Sets (IEEE TPAMI, 2018)
• Group Wise Point Set Registration and Statistical Shape Modeling (SIAM, 2015)

Qualifications

• BSc (University of Science and Technology, Iran)
• MSc (University of Tehran, Iran)
• PhD (University of Tokyo, Japan)
• PGCert (University of Sheffield, UK)

Professional memberships

• Member, IEEE
• Marie-Curie IIF Research Fellow (Alumni)
• Fellow, Higher Education Academy
• Member, MICCAI Society

Student education

I will be focusing on Machine Learning and Artifical Intelligence.

Research groups and institutes

• Computational Medicine