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About the Artificial Intelligence Doctoral Ecosystem

The Ingenium Doctoral Ecosystem in Artificial Intelligence connects leading universities to create a collaborative platform for advancing research in AI, machine learning, quantum computing, cybersecurity, and sustainable development.

By fostering interdisciplinary collaboration across diverse fields like robotics, human-centered AI, natural language processing, and cyber-physical systems, the ecosystem integrates expertise from areas such as economics, law, cognitive science, and engineering.

Supported by cutting-edge research infrastructure, specialized labs, and strong academic-industry partnerships, this ecosystem serves as a hub for groundbreaking innovations aimed at addressing global challenges.

The ecosystem’s dynamic environment drives research in high-impact areas such as healthcare, smart cities, Industry 4.0, and environmental sustainability

Core Research Areas

Fundamental Artificial Intelligence and Machine Learning

This area includes neural networks, deep learning, reinforcement learning, generative AI, symbolic AI, knowledge representation, automated reasoning, agentic AI, multiagent systems, game theory, natural language processing (NLP), computer vision, signal processing, trustworthy and explainable AI.

Quantum Computing and Cybersecurity

Human-Centered AI and Human-Robot Interaction

Digital Health and AI in Healthcare

Cyber-Physical Systems and Internet of Things (IoT)

Sustainable Development and Engineering

Artificial Intelligence (AI) and Machine Learning
This area includes trustworthy and explainable AI, natural language processing (NLP), computer vision, neural networks, deep learning, GANs, and reinforcement learning, with applications spanning healthcare, social sciences, robotics, and economic modeling.
Quantum Computing and Cybersecurity
Research in this domain covers quantum networks, quantum-cybersecurity, IoT security, and bioinformatics, with a strong emphasis on cyber-resilience, cybersecurity standards, and data protection.
Human-Centered AI and Human-Robot Interaction
This area explores AI in human-robot interactions, social robotics, and autonomous systems, with a particular focus on user-centric designs for healthcare, education, and smart cities.
Digital Health and AI in Healthcare
This research focuses on developing AI-driven healthcare technologies, leveraging data analytics for disease prediction, personalized treatment, and healthcare management, alongside the exploration of ethical frameworks in digital health.
Cyber-Physical Systems and Internet of Things (IoT)
Research here investigates smart cities, Industry 4.0, and sustainable mechatronics, focusing on the integration of IoT and robotics for industrial and environmental applications.
Sustainable Development and Engineering
This area focuses on integrating AI and digital transformation for sustainable systems, energy optimization, and industrial processes, aiming for innovative solutions to global sustainability challenges.

Disciplines Involved

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Computer Science

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Engineering

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Mathematics and Statistics

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Cognitive Science and Psychology

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Ethics and Philosophy

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Data Science

How you can become an INGENIUM PhD Student

With our INGENIUM Doctoral Ecosystems, we aim to offer a unique PhD training experience that combines the best elements of traditional PhD training models from partner universities to create an enriched and collaborative doctoral journey.

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Submit your request for Co-Supervision

If you are a current or prospective PhD student at an INGENIUM partner university.

Find Out More

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Apply for a Joint Doctoral Programme

If you want to apply for an INGENIUM Joint Doctoral Programme

Find Out More

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Apply for the INGENIUM Certificate

If you are a PhD student at an INGENIUM partner university or are registered in an INGENIUM Joint Doctoral program.

Find Out More

Available Research Facilities and PhD Co-Supervisors

As an INGENIUM PhD Candidate in Artificial Intelligence related disciplines you have at your disposal a unique network of research facilities and laboratories that can enhance your doctoral studies. Also, INGENIUM PhD candidates are guided by a team of co-supervisors from our partner institutions, offering diverse perspectives and expertise.

List of PhD Supervisors and co-supervisors

Constantin-Florin Caruntu

material characterisation Intelligent mobility Model predictive control Networked control systems V2X communication

Contact email: constantin-florin.caruntu@academic.tuiasi.ro

TUIASI

Marian-Silviu POBORONIUC

material characterisation Artificial Intelligence Brain-Computer Interfaces Neuroprostheses Rehabilitation robotics

Contact email: marian-silviu.poboroniuc@academic.tuiasi.ro

TUIASI

Vasile MANTA

material characterisation Quantum Computing Artificial Intelligence Computer Vision

Contact email: vasile-ion.manta@academic.tuiasi.ro

TUIASI

Iulian Ciocoiu

material characterisation biomedical signal processing biometrics Computer Vision Deep Learning

Contact email: iciocoiu@etti.tuiasi.ro

TUIASI

...

Research Infrastractures

Research LabMTU

Quantum Computing and Artificial Intelligence – Cyber Security

Specific Research Topics: Cybersecurity and cyber-resilience. Quantum-cyber. Quantum networks. Large volume and complex data analysis in diverse fields such as bioinformatics, protein modelling, astronomy, smart cities. MTU is widely recognised as the leading organisation in Ireland for cybersecurity expertise. Teaching activities: Suite of courses run by the Department of Computer Science. And: CyberInnovate is a large-scale initiative for experienced and curious professionals who wish to develop the skills, expertise and network to enable them to found and lead new cybersecurity startups. https://cyberinnovate.ie/ Cyberskills is a suite of courses designed to support career development in cybersecurity. https://www.cyberskills.ie/ CyberIreland is the national industry cybersecurity cluster, coordinated by MTU. https://cyberireland.ie/ Research Infrastructure: World class Quantum Cloud Platform (QCloud) on Amazon web services, enabling cutting-edge collaborative research. QCloud connects 13 research institutes, supports 11 major quantum computing projects, and is transforming Ireland’s quantum research landscape. https://www.rackspace.com/case-studies/munster-technological-university

Contact person: Dr. Hazel Murray (Lecturer in Computer Science)

Email: hazel.murray@mtu.ie

Research CentreTUIASI

ENERGY CONVERSION AND MOTION CONTROL SYSTEMS RESEARCH CENTRE

https://eertis.eu/errf-2300-000h-2207

Contact person: Marian-Silviu Poboroniuc

Email: marian-silviu.poboroniuc@academic.tuiasi.ro

Research LabTUIASI

Research Laboratory Control Systems and Fault Diagnosis

https://ac.tuiasi.ro/wp-content/uploads/2019/10/AC_laboratoare_cercetare.pdf

Contact person: Assoc.prof.dr.eng. Letitia Mirea

Email:

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Pro Tip:

Search the provided lists of Research Infrastructures and PhD Supervisors for guidance if:

you are a PhD Supervisor or academic involved in PhD programmes in one of our partner universities looking to grow your network and create new partnerships;
you are a PhD Candidate looking for the best research resources or possible INGENIUM co-supervisors for your interdisciplinary PhD studies.

AI Doctoral Board

The AI Doctoral Ecosystem has a dedicated Doctoral Board, responsible for defining educational components, including seminars, methodological workshops, and theoretical training.

No	Supervisor	Department	Email address	Research Interests
1	Susana Montes	Statistics and Operational Research	montes@uniovi.es	Fuzzy logic, Aggregation functions, Decision making
2	Jesús Suárez Pérez del Río	Mathematics	jspr@uniovi.es	Dynamical Systems, Polynomial Vector Fields, Dynamics of Rocking Motion
3	José Ramiro Varela Arias	Computing	ramiro@uniovi.es	Metaheuristics, Scheduling, Artificial Intelligence

No	Supervisor	Department	Email address	Research Interests
1	Erik Billing	School of Informatics	erik.billing@his.se	Human-robot interaction, Cognitive robotics, Virtual Reality
2	Juhee Bae	Information Technology	juhee.bae@his.se	Explainable AI, Visual Analytics, Transparent AI systems
3	Sunith Bandaru	Engineering Science	sunith.bandaru@his.se	Industrial analytics & AI, Industry 4.0 & 5.0 applications, Decision support

No	Supervisor	Department	Email address	Research Interests
1	Ruairi O’Reilly	Computer Science	ruairi.oreilly@mtu.ie	Artificial intelligence, Machine Learning, Data Analytics, Distributed Architectures
2	Martin Klepal	Electrical and Electronic Eng	martin.klepal@mtu.ie	Human-centric and resilient industries Industry 5.0, Human-Machine, Collaborative Robotics, Human Digital Twin
3	Susan Rea	Nimbus Research Centre	susan.rea@mtu.ie	Trust, Human-centred-technology-design, Design=Management
4	Ted Scully	Computer Science	ted.scully@mtu.ie	Machine Learning, Deep Learning, Image Classification

No	Supervisor	Department	Email address	Research Interests
1	Vasile Ion Manta		vasile-ion.manta@academic.tuiasi.ro
2	Marian Silviu Poboroniuc	Energy Utilization, Electrical Drives and Industrial Automations	marian-silviu.poboroniuc@academic.tuiasi.ro	Robotics, Brain-computer interfaces,
3	Adrian Alexandrescu		adrian.alexandrescu@academic.tuiasi.ro

No	Supervisor	Department	Email address	Research Interests
1	Todor Kundurzhiev	Occupational Medicine	t.kondurdzhiev@foz.mu-sofia.bg	Biostatistics, Medical Informatics, Artificial Intelligence in Healthcare
2	Stefan Velikov	Health Technologies Assessments	s.velikov@foz.mu-sofia.bg	AI, Neural Networks, Cognitive Modeling
3	Nikoleta Leven	Health Technology Assessment	n.leventi@foz.mu-sofia.bg	AI, Ethics, Healthcare

No	Supervisor	Department	Email address	Research Interests
1	Björn Hein	Robotics and Autonomous Systems	bjoern.hein@h-ka.de	Cloud-Robotics, Perception, Object Manipulation
2	Matthias Wölfel	Computer Science and Business Information Systems	matthias.woelfel@h-ka.de	Human-Computer Interaction, Artificial Intelligence, Augmented & Virtual Reality

No	Supervisor	Department	Email address	Research Interests
1	Fabio Fioravanti	Economics	fabio.fioravanti@unich.it	Symbolic Artificial Intelligence, Automated Reasoning, Program Verification
2	Gianpiero Monaco	Economics	gianpiero.monaco@unich.it	Game-theoretic reasoning about strategic situation, Engineering and analysis of multiagent systems, Complexitty and efficiency of Equilibria
3	Francesca Scozzari	Economics	francesca.scozzari@unich.it	Deep learning, Explainability, Software Static Analysis
4	Daniela Cardone	Ingeneering	daniela.cardone@unich.it	Human-robot interaction, Affective computing, Computational psychophysiology

No	Supervisor	Department	Email address
1	Vincent Tognetti	Chemistry	vincent.tognetti@univ-rouen.fr
2	Lina Soualmia	Informatics	lina.soualmia@litislab.fr
3	Sebastien Adam	Physics	sebastien.adam@univ-rouen.fr

Goals of the AI Doctoral Ecosystem

The goals of the Ingenium Doctoral Ecosystem are to foster interdisciplinary research in AI and related fields, promote scientific discovery, and drive technological advancements with real-world applications in collaboration with the partners of the alliance.

The ecosystem aims to advance the development of trustworthy, explainable AI systems, provide doctoral candidates with access to state-of-the-art research facilities, and integrate ethical considerations into AI development.

It seeks to create a global network of scholars and industry partners to address pressing societal challenges, while preparing the next generation of AI experts to lead in academia, industry, and government.

By applying AI to solve critical issues such as healthcare innovation, cybersecurity, and sustainable development, the ecosystem strives to ensure that research outcomes have tangible, positive impacts on society.

About the Artificial Intelligence Doctoral Ecosystem

Core Research Areas

Fundamental Artificial Intelligence and Machine Learning

Disciplines Involved

Computer Science

Engineering

Mathematics and Statistics

Cognitive Science and Psychology

Ethics and Philosophy

Data Science

How you can become an INGENIUM PhD Student

Submit your request for Co-Supervision

Apply for a Joint Doctoral Programme

Apply for the INGENIUM Certificate

Available Research Facilities and PhD Co-Supervisors

Quantum Computing and Artificial Intelligence – Cyber Security

ENERGY CONVERSION AND MOTION CONTROL SYSTEMS RESEARCH CENTRE

Research Laboratory Control Systems and Fault Diagnosis

AI Doctoral Board

Goals of the AI Doctoral Ecosystem

Read more about our other Doctoral Ecosystems