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 Irelands 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. Currently, his main areas of research interest are in designing lightweight deep learning models, 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 was a steering committee member of Oblivious.ai.

Modeling light weight Deep Neural Network Architectures, CNN, Pyramidal Neural Network, Federated Learning, Explainable AI, Medical Image Analysis (Classification, Segmentation, Report Generation), Action/Activity Recognition from Videos, Object Detection and Tracking, EEG Signal Classification, Augmented Reality, Responsible AI

Machine Learning, Deep Learning, Computer Vision, Research Topics in AI, Case Studies in Data Analytics, Case Studies in Cybersecurity Analytics, Object-Oriented Programming