Summary
Emanuel Di Nardo is an Assistant Professor and PhD in Computer Science specializing in machine learning and computer vision, with 11 years of experience bridging academic research and industry applications. He focuses on visual object tracking with transformer architectures and develops novel deep fuzzy neural systems applied across domains from bioinformatics and cancer prediction to weather forecasting and naval engineering. Emanuel has practical ML engineering experience—building end-to-end pipelines, feature extraction, explainability, and deployment—from roles at Unlimited Technology and as an AI consultant, and he teaches practical iOS/Swift development with CoreML at the University of Naples Parthenope. A proven educator and startup co-founder, he combines rigorous academic credentials (MS and PhD) and cum laude undergraduate training with hands-on systems work spanning Android, cloud platforms, and research internships at NEC Labs. Notably, his portfolio blends foundational research in vision transformers with applied projects in emotion recognition and multimodal sentiment analysis, reflecting a rare mix of theoretical depth and product-oriented delivery.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Milan
Master of Science - MS, Applied Computer Science in Machine Learning and Big Data, 110/110 cum laude, Master of Science - MS, Applied Computer Science in Machine Learning and Big Data, 110/110 cum laude at University of Naples Parthenope
Italian, English