Dr. Ihsan Ullah did his Ph.D. in the University of Milan, specializing in designing lightweight deep neural network architectures with the pyramidal approach. He has more than nine years of research and development experience in applying Deep Learning to a variety of images, video, text, and time-series recognition problems while working with renowned labs in the US (Computational Vision and Geometry Lab at Stanford University), Europe (at CVPR Lab at the University of Naples Parthenope, Italy), and the Middle East (Visual Computing Lab in King Saud University, Saudi Arabia). Before joining the School of Computer Science in the University of Galway he was a Senior Research Data Scientist in CeADAR Ireland’s Centre for Applied AI in University College Dublin where he was the head of the Special Projects group and was actively involved in applying for various national and international fundings e.g., Horizon Europe, SFI, EI. Prior to that, he worked in Data Mining and Machine Learning Group of School of Computer Science in as the University of Galway a Senior Postdoc, Adjunct Lecturer, and Project Manager of the H2020 project ‘ROCSAFE’. He also worked as a Postdoc at INSIGHT Research Centre in the University of Galway and Research Engineer in Prosa Srl Italy. Currently, his main areas of research interest are in designing lightweight deep learning models in computer vision and Pattern Recognition, explainable AI, federated learning, and differential privacy. He was an invited member of the National Standards Authority of Ireland prestigious ‘Top Team” on setting the national Standards in AI, and he is a steering committee member of Oblivious.ai.
Research Focus and Applications