Build the sovereign-AI future with the UAE.
A people-first invitation to the UAE's leading universities: joint research labs on edge supercomputing, consent-first agentic AI, and the Personal World Model, plus a talent pathway for students building real agents on the π€« One Platform. Sunshine, cooling, clean energy, and world-class AI ambition make the UAE a natural home for what we build.
Three pillars.
Research labs
Joint labs on the things we care about most: edge supercomputing, consent-first agentic AI, and the Personal Knowledge & World Model - with the sunshine, cooling, and clean-energy advantages that make the UAE a natural home for compute.
Talent pathway
Students and researchers building real agents on the One Platform - internships, capstones, and open challenges - with a clear path from coursework to shipping on π€«.
Sovereign by design
A consent-first architecture that keeps a nation's and a person's data where it belongs. Sovereignty is not a feature we add; it is how the Personal World Model and PCHP are built.
Universities we would be honored to build with.
Abu Dhabi Β· Graduate AI research
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) β
The world's first graduate-level university dedicated entirely to artificial intelligence (founded 2019), with programs in machine learning, computer vision, and natural language processing.
Abu Dhabi Β· Science, engineering & AI
Khalifa University β
A leading science-and-technology university in the region - engineering, AI, robotics, and advanced research - and the first UAE institution to enter the global top 150.
Abu Dhabi Β· Computer science & data science
NYU Abu Dhabi β
A global liberal-arts-and-sciences campus with strong computer science and computer engineering, and a master's in interdisciplinary data science and AI.
Al Ain Β· The national flagship
United Arab Emirates University (UAEU) β
The UAE's oldest and flagship national university, with broad engineering, computing, and science research across the country's priorities.
Sharjah Β· Engineering & computing
American University of Sharjah (AUS) β
A well-regarded university with strong engineering and computer science programs and an international student body.
Sharjah Β· Research & computing
University of Sharjah β
A large public research university with growing computing, engineering, and applied-AI research.
This program is described with public information and genuine admiration for these institutions. Naming a university implies no partnership, affiliation, or endorsement; each is an invitation to explore, and we link to each institution's own site as the source of truth.
We start with people, not paperwork.
Our way is human-to-human. We study each person's public work deeply, celebrate it, promote it so more people learn their science and their craft, and say plainly how it aligns with our mission: to hire the best local talent and stand up π€« Human Knowledge, Innovation & Intelligence supercomputing labs on and near their campuses. Public information only; an honest invitation, never a claimed partnership.
The UAE's AI ecosystem
H.E. Omar Sultan Al Olama β
UAE Minister of State for Artificial Intelligence, Digital Economy & Remote Work Applications
National AI strategy, digital economy, and remote-work policy
As the state minister who owns UAE AI and digital-economy policy, his work sets the national context for sovereign AI, edge compute, and data sovereignty - exactly the ground we want to build on.
H.E. Khaldoon Khalifa Al Mubarak β
Chairman of the Board of Trustees, MBZUAI
Governance and strategic direction of the UAE's national AI university
He chairs the governing board of the UAE's central AI institution, linking national strategy to research - the kind of long-horizon stewardship our labs would grow alongside.
Peng Xiao β
Group CEO of G42; founding member of the MBZUAI Board of Trustees
AI infrastructure, cloud/compute, and applied AI at national scale
He leads the UAE's most prominent AI company across compute infrastructure and applied AI - the commercial frontier our edge-supercomputing and data-sovereignty work speaks directly to.
MBZUAI
The world's first research-based graduate university dedicated entirely to AI - our natural academic anchor.
Eric Xing β
President and University Professor
Distributed ML systems, statistical methodology, foundation models
His work on large-scale distributed systems for ML and foundation models maps directly to fleet and edge compute for personal AI agents.
Timothy Baldwin β
Provost and Professor of Natural Language Processing
NLP, deep learning, algorithmic fairness
As chief academic officer and an NLP researcher focused on fairness, he is a natural counterpart for consent-first, user-respecting agent design. (Appointed Provost in 2024, succeeding founding provost Ling Shao.)
Γric Moulines β
Dean of the Computing and Mathematical Sciences Division; Professor of Machine Learning
Probabilistic ML, Monte Carlo sampling, generative models
His expertise in uncertainty quantification and on-device stochastic methods is pertinent to efficient inference on constrained edge hardware.
Preslav Nakov β
Department Chair and Professor of Natural Language Processing
Disinformation and fact-checking, machine translation, lexical semantics
His trust, fact-checking, and provenance work is directly applicable to trustworthy personal AI agents that handle sensitive user data.
Ian Reid β
Department Chair and Professor of Computer Vision; Acting Director of Research Administration
Visual SLAM, spatial and embodied AI, real-time robotic decision-making
His embodied and spatial-AI work aligns with edge devices that must reason locally rather than round-trip to the cloud.
Fahad Khan β
Deputy Department Chair and Professor of Computer Vision
Recognition, detection, and segmentation with limited supervision
His emphasis on learning visual models with limited supervision suits data-frugal, privacy-preserving on-device training.
Kun Zhang β
Associate Department Chair of Machine Learning (Research); Director, Center for Integrative AI
Causal discovery and inference, causal representation learning
Causal learning across heterogeneous, distributed data is central to reasoning over fragmented, user-owned data without central pooling - a data-sovereignty fit.
Khalifa University
A top science-and-engineering university and the region's applied robotics and secure-systems powerhouse.
H.E. Prof. Ebrahim Al Hajri β
President, Khalifa University
University leadership; academic and research direction
As president he sets KU's research priorities and is the ultimate steward of institutional partnerships in AI and sovereign compute.
Dr. Bayan Sharif β
Provost, Khalifa University
Academic affairs, faculty, and cross-college research
The provost owns academic programs and cross-college initiatives - the natural counterpart for structuring a joint academic and edge-AI lab.
Prof. Ernesto Damiani β
Professor of Computer Science
Cybersecurity, AI/ML, IoT and blockchain, cyber-physical systems security
His secure, privacy-preserving analytics on distributed and IoT systems sits squarely on the data-sovereignty and edge-security concerns of private personal-AI agents.
Prof. Jorge Dias β
Professor & Deputy Director (robotics), Computer & Information Engineering
Robotics and AI, artificial perception, computer/robotic vision
On-device perception and autonomy are core edge-compute workloads; his KUCARS work connects to the region's applied robotics ecosystem.
Dr. Federico Renda β
Associate Professor, Mechanical Engineering
Soft/underwater robotics, multibody dynamics and control
Real-time modeling and control of complex robots depends on efficient local compute - representative of KU's applied embodied-AI base.
Prof. Khaled Salah β
Professor & Group Lead, Computer & Information Engineering
Blockchain, cloud/fog computing, cybersecurity, GenAI/LLMs
His work on decentralized trust and edge/fog security maps closely to data sovereignty and verifiable, consent-first personal-AI infrastructure.
Prof. Lakmal Seneviratne β
Professor; Khalifa University Robotics Institute
Robotics and mechatronics, autonomy in complex environments
A founding figure in KU's autonomous-robotics program (drones, marine and field robots) - the applied-autonomy side of edge AI. (Exact current administrative title unconfirmed on a live KU page, so we state only the verified affiliation.)
NYU Abu Dhabi
A global research university with deep strength in systems, security, networks, and Arabic-first NLP.
Djellel Difallah β
Program Head of Computer Science; Assistant Professor of Computer Science
Crowdsourcing, human computation, machine learning, knowledge discovery
As CS program head and a human-in-the-loop ML researcher, he is the natural academic contact and works on AI systems built around human input - close to consent-based personal agents.
Christina PΓΆpper β
Associate Professor of Computer Science; head of the Cyber Security & Privacy Lab
Wireless-systems security, secure localization, protocol and mobile security, privacy
Her security-and-privacy research maps directly onto data sovereignty and trustworthy edge and wireless communication for private personal-AI infrastructure.
Yasir Zaki β
Assistant Professor of Computer Science; directs the Communication Networks Lab
Cellular/wireless communication, congestion control, Internet performance
His networking-performance work in constrained conditions is directly applicable to running an edge-compute grid over satellite and last-mile links.
Riyadh Baghdadi β
Assistant Professor of Computer Science
Optimizing compilers and applied ML for constrained platforms
Making ML run efficiently on resource-constrained hardware is exactly the compute-per-watt problem of edge supercomputing.
Nizar Habash β
Professor of Computer Science; directs the CAMeL Lab
NLP and computational linguistics, with emphasis on Arabic and its dialects
Region-specific, dialect-aware NLP is foundational to personal agents that serve local users in their own language rather than defaulting to English.
Keith W. Ross β
Professor of Computer Science
Deep reinforcement learning, deep learning, Internet privacy
A prominent AI/RL researcher whose earlier Internet-privacy and networking work bridges the AI-agent and data-privacy themes at the center of the mission.
Celebration and an invitation, in the open.
We celebrate these people and their work from public information, with genuine admiration and an honest wish to collaborate. Naming a person or institution implies no partnership, affiliation, or endorsement. Every profile links to that person's own official page as the source of truth; university roles change, and where a role was in transition or unconfirmable we say so. Anyone featured can ask to be updated or removed.
A lab, a cohort, a first project.
If a joint lab or a student cohort building on the One Platform is worth exploring, we would be grateful for the conversation.
One is a product of Hushh Technologies Corporation (brand: π€« βhusshβ), an independent company. One runs on third-party silicon, systems, and cloud; all company names are used solely to describe the platforms on which One software runs. Hushh Technologies is not affiliated with, endorsed by, sponsored by, or partnered with any company named.