Nouman
MSc
Data Engineer
Academic History
Nouman has completed a dual-degree MSc under the Erasmus Mundus Language and Communication Technologies (EMLCT) program from the University of Groningen, Netherlands, and University of Basque Country, Spain. Before this, Nouman has completed his undergraduate in Software Engineering from the National University of Sciences and Technologies
Professional History
Nouman has worked previously as a Data Engineer for MatrixianGroup, Netherlands focusing mainly on building automated pipelines for regular data collection and processing for the company's ML models. Nouman started his career as a software engineer at Arbisoft, Pakistan focusing on building web and mobile applications
Research History
Nouman has done most of his research in AI, focusing on building ML/DL models for computer vision and NLP. He started doing the research in computer vision focusing on unsupervised learning for classification of remote sensing imagery. He focused on NLP research during his masters, working on low-resource Machine Translation, fake news detection, and building low-resource embeddings for scientific domain.
Recent publications
Development and validation of a parsimonious AI-based risk score for mortality in heart failure: a UK cohort study
Journal article
Ahmed N. et al, (2026), European Heart Journal – Digital Health, 7
Itri Amigos at ArAIEval Shared Task: Transformer vs. Compression-Based Models for Persuasion Techniques and Disinformation Detection
Conference paper
Oumer J. et al, (2023), Proceedings of ArabicNLP 2023, 543 - 548
Enhancing Spanish-Quechua Machine Translation with Pre-Trained Models and Diverse Data Sources: LCT-EHU at AmericasNLP Shared Task
Conference paper
Ahmed N. et al, (2023), Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP), 156 - 162
Progressive Unsupervised Deep Transfer Learning for Forest Mapping in Satellite Image
Conference paper
Ahmed N. et al, (2021), 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 752 - 761