§ Team
Hominis began as a collaboration between the PICUS Lab at the University of Naples Federico II and Deepkapha AI Research, with support from NVIDIA. A small group drawn to the same unfashionable idea: that an agent worth trusting is one that knows its own limits.
Authors of the Hominis paper
Lead author · Models & framework
PhD candidate at the University of Naples Federico II and a researcher at Deepkapha AI Research. He works on large language models, foundation models, and efficient deep learning — making capable systems smaller, more sustainable, and more dependable. He led the design of the Hominis model family and its agentic framework.
Human-centred & trustworthy AI
PhD researcher in artificial intelligence at the University of Naples Federico II, where she is part of the PICUS Lab. Her work spans multimodal machine learning and human-centred AI — from fusing clinical and imaging data to studying how people perceive bias in generative systems — bringing a background that bridges philosophy and AI to questions of trustworthy design.
Corresponding author · Trustworthy deep learning
Researcher at the University of Naples Federico II and a member of the PICUS Lab. His work centres on trustworthy deep learning — the robustness, security, and fairness of neural networks — alongside computer vision and biomedical image analysis. He led a team to victory in an international fingerprint liveness-detection challenge, and his doctoral work on trustworthy AI earned a national award.
Research direction
Founder and CEO of Deepkapha AI Research and Real AI, based in the Netherlands. A long-standing voice in the AI community, his work bridges deep learning with neuroscience-inspired research, and through the givebackAI initiative he champions accessible AI education and AI for good.
Senior author · Scientific direction
Full Professor of Computer Engineering at the University of Naples Federico II, where he directs the PICUS Lab. His research spans pattern recognition, machine and deep learning, biomedical image analysis, biometrics, and image forensics, with recent emphasis on explainable and secure deep architectures. He is an IAPR Fellow and author of more than two hundred scientific papers.
Lending scale and infrastructure
Large-scale training & infrastructure
Senior solutions architect for AI and accelerated computing at NVIDIA, where he leads the NVIDIA AI Technology Center in Italy. With more than a decade in high-performance computing, his work focuses on training and deploying large AI models at scale.
Applied deep learning
AI researcher at Deepkapha AI Research and a PhD candidate at IIT Kharagpur. His work combines deep learning and computer vision with domain science, building systems that turn complex raw data into usable insight.
Affiliations