Dr. Ihsan Ullah

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 NUI 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 NUI Galway as a Senior Postdoc, Adjunct Lecturer, and Project Manager of the H2020 project ‘ROCSAFE’. He also worked as a Postdoc at INSIGHT Research Centre in NUI Galway and Research Engineer in Prosa Srl Italy. His research interests are mainly in computer vision and designing lightweight deep neural network architectures with the pyramidal approach. More specifically, he worked on recognition & segmentation problems in health, autonomous vehicles, & other application areas as well as understanding the deep AI models with explainable AI techniques. I am also interested to work on differential privacy and synthetic data generation. Specific research interests in semantic segmentation of aerial images, Aortic segmentation, medical report generation, object/pedestrian detection, multi-object tracking, fish species (Salmon) recognition/tracking/detection, explainable AI, federated learning, synthetic data generation, and signal processing (EEG, ECG, etc.).