ADVANCE CRT

SFI Centre for Research Training in Advanced Networks for Sustainable Societies

We are training 120 PhD students in four annual cohorts of 30 students across the five partner universities beginning with the academic year 2019/20. Applications for the academic year 2019/20 are now closed. We expect to open applications for the academic year 2020/21 in early 2020

More information

The ADVANCE CRT - What is it?

The ADVANCE CRT is a Science Foundation Ireland Centre for Research Training focused on Future Networks and the Internet of Things with applications in sustainable and independent living. ADVANCE will train 120 PhD students, recruited in four annual cohorts of 30 students across the five partner universities, beginning with the academic year 2019/20

ADVANCE Vision

We live in a society where ubiquitous, high-speed communication networks enable, and increasingly dominate, our family, social and working lives. These networks enable an ever-increasing range of human-to-machine and machine-to-machine (M2M) communication applications in the Internet of Things. This expanding hyper-connectivity will create new communication, sensing and control services, and forms of interconnectivity and services between people and Things in ways we cannot yet even fully envisage. Two societal pressures drive the need for hyper-connectivity - Urbanisation and Rural Depopulation.

Meeting both the technical and societal challenges of global hyper-connectivity requires multi- and inter-disciplinary approaches. Our vision is to train the next generation of researchers who will seek solutions to the technical and societal challenges of global hyper-connectivity between large numbers of People and Things. We will explore opportunities for a range of novel applications in sustainable and independent living enabled by such networks that will become critically important to sustain large dense cities and alleviate problems of rural depopulation. Given the far-reaching technological, economic, social and personal impacts of hyper-connectivity, our researchers will, in addition to deep competence in their individual disciplines, need understanding of these wider ethical, social and economic aspects. They will need the ability to collaborate with, learn from, and communicate their discipline-specific knowledge with other disciplines and the public who will be the beneficiaries of their collective expertise.

ADVANCE Partnership

The ADVANCE CRT brings together over 50 research supervisors from computer science, electrical and computer engineering, social science, psychology and health science, to stimulate socially-responsible and inclusive creativity and innovation in the field of future networks and the Internet of Things. ADVANCE is a close partnership between five Irish Higher Education Institutions and Irish-based industry. ADVANCE is a rich ecosystem of partner universities involving University College Cork, Cork Institute of Technology, Maynooth University, Trinity College Dublin, and TU Dublin and large companies such as Nokia, Intel, DellEMC, u-blox, Vodafone, UTRC, Johnson Controls, JaguarLandRover and indigenous SMEs such as Taoglas, Decawave, Shimmer, Independet Living Ireland and local authorities and NGOs such as Dublin and Cork City Councils, RehabGroup and Enable Ireland.

ADVANCE leverages complimentary research initiatives, particularly the SFI-funded CONNECT Centre for Future Networks. Internationally, we are engaged with a network of research groups from Universities and Research Institutes from around the world that will offer our students placement opportunities, such as Imperial College, TU Eindhoven, RWTH Aachen, University of Toronto, University of Auckland, IMDEA, and CEA.

Accepted students will receive a generous tax free stipend of €18,500 per annum plus travel, equipment and material allowances and a tution fee contribution of €5,500 (fee rate for EU nationals). Applications for the academic year 2019/2020 are now closed. If you wish to express your interest in applying for the academic year 2020/21 please contact us at (advance-crt@cs.ucc.ie) .

ADVANCE Training & Research

Research Programme


ADVANCE’s vision of a hyper-connected world requires a research programme that addresses key challenges in advanced communications and networking, data driven network management, and ICT applications for sustainable communities. These future networks will enable customisation, where capabilities adapt to their users’ needs and locations, be it people, Things, or autonomous systems and services. Their design will need to consider the complex mega-urban environments that place pressure on the social well-being and health of residents and of rural environments that need to support dispersed communities. This raises major challenges and requires new approaches to communication system design. ADVANCE's research programme is focused on:

  • Enabling technologies for future wireless/mobile networks and the Internet of Things,
  • Intelligent and data driven network management and optimisation,
  • Internet of Things applications for sustainable communities and independent living and associated social, privacy and security issues.

Training Programme


The ADVANCE Training Programme aims at developing a broad set of skills in students:

  • Excellent Research Skills
  • Transversal and Cross-Sectoral Skills
  • Societal Skills
  • Discipline-Specific Skills

At the core of the training programme is the student cohort approach. Within each year's cohort and across annual cohorts, students have the opportunity to learn and work together, network, learn from each other, support each other and develop friendships. The training porgramme will be delivered in block delivery through summer and winter schools bringing all student cohorts together, and through distance learning and self-directed learning. ADVANCE creates a Personal Training Plan for each student that includes Student and Supervisor Responsibilities and Expectations, Support Resources, Principles of Research Integrity, and Career Planning.

In addition to the development of skills, students will also take part in industry or partner university placements of between 3 and 6 months. These are an integral, credited part of the training programme as not only are they an important form of experiential learning but also allow students to apply formal learning in the workplace and to interact with both technology-professionals and technology users. Placements also allow students to develop their professional identity, to shape their career plans and to understand why life-long learning is important.

The ADVANCE Team

The Centre for Research Training brings together a supervisory team of over 50 very experienced research supervisors from across the five universities involved in the Centre. The team comprises of computer scienties and engineers, electrical and electronic engineers, applied psychologists, social and health scientists, and business innovation experts.

Management Team

The Centre is led by senior academics from the five partner universities:

Prof. Dirk Pesch

Centre Director
University College Cork
details

Prof. John Barrett

Deputy Director
Cork Institute of Technology
details

Prof. Siobhan Clarke

Co-Lead
Trinity College Dublin
details

Prof. Cormac Sreenan

Co-Lead
University College Cork
details

Dr. Deirdre Desmond

Co-Lead
Maynooth University
details

Prof. Max Ammann

Co-Lead, Technological University Dublin
details

Supervisors

The ADVANCE CRT supervisors, including the management team, represent the research themes in the ADVANCE research programme. Below is the list of supervisors currently seeking students. The list includes their institution, areas of research focus and links to their CVs and personal profiles. Supervisers are happy to discuss projects will prospective appliciants and can be contacted by email.

<
Dr. Maurizio Mancini m.mancini@cs.ucc.ie Multimodal Interfaces; embodied agents; movement analysis/synthesis
Dr. Aisling O'Driscoll a.odriscoll@cs.ucc.ie Wireless and Mobile Networks; cooperative communication protocols; vehicular & sensor networks
Dr. Paolo Palmieri p.palmieri@cs.ucc.ie Privacy; Security; Cryptography
Dr. Nadia Pantidi nadia.pantidi@ucc.ie Smart City and e-democracy; vulnerable populations; digital placemaking
Prof. Dirk Pesch d.pesch@cs.ucc.ie IoT; Wireless & Vehicular Networks; Smart Cities
Dr. Ian Pitt i.pitt@cs.ucc.ie HCI; auditory & speech-based interfaces, interfaces for blind computer-users, eLearning
Prof. Utz Roedig u.roedig@cs.ucc.ie IoT; Security, Wireless Networks
Prof. Cormac Sreenan cjs@cs.ucc.ie Wireless Networks; UAVs; Video Streaming
Dr. Ahmed H. Zahran a.zahran@cs.ucc.ie Mobile networking; Multimedia streaming; Intelligent transportation systems
Dr. Haithem Afli haithem.afli@cit.ie Natural Language Processing; Sentiment Analysis; Deep Learning & Machine Translation
Prof. John Barrett john.barrett@cit.ie
Dr. Olivia Brickley olivia.brickley@cit.ie Network management; SDN; Intelligent Transportation Systems
Dr. Con Burns con.burns@cit.ie Smart technology for physical activity and healthy living
Dr. Victor Cionca victor.cionca@cit.ie Wireless; Mesh; Networking
Dr. Tara Coppinger tara.coppinger@cit.ie Smart technology for physical activity and healthy living
Dr. Breda Kenny breda.kenny@cit.ie Entrepreneurship; Collaborative Innovation; Internationalisation
Dr. Martin Klepal martin.klepal@cit.ie People Behaviour; AI; Human-in-the-Loop
Dr. Alan McGibney alan.mcgibney@cit.ie IoT Ecosystems; Trusted Networks; Blockchain
Dr. Sean McSweeney sean.mcsweeney@cit.ie Pentesting; Ultrasonics; Acoustics
Dr. Cian O'Neill cian.oneill@cit.ie Smart technology for physical activity and healthy living
Dr. Donna O'Shea donna.oshea@cit.ie Cybersecurity; AI; SDN
Dr. Susan Rea susan.rea@cit.ie Digital Value Chains (Blockchain); Trusted & Secure Interactions for IoT; Energy Communities
Prof. Irene Sheridan irene.sheridan@cit.ie Experiential Learning; Engagement
Dr. Bernd-Ludwig Wenning berndludwig.wenning@cit.ie Wireless networks; vehicular networks; Quality of Service
Dr. Mélanie Bouroche melanie.bouroche@scss.tcd.ie Connected Autonomous Vehicles
Prof. Siobhan Clarke siobhan.clarke@scss.tcd.ie
Prof. Luiz A. DaSilva dasilval@tcd.ie Wireless Networks; Machine Learning; Radio Virtualisation
Prof. Gavin Doherty gavin.doherty@tcd.ie Healthcare; Smartphone applications; Mental health
Prof. Linda Doyle ledoyle@tcd.ie Creative Arts Practices; Wireless Networks; Economics & Telecoms
Dr. Ivana Dusparic Ivana.Dusparic@scss.tcd.ie Multi-agent Systems; Reinforcement Learning; Intelligent Transport Systems
Dr. Lucy Hederman hederman@tcd.ie Connected Health; Clinical Decision Support Systems; Data Integration
Dr. Georgios Iosifidis iosifidg@tcd.ie Smartphone applications
Dr. Marco Ruffini marco.ruffini@tcd.ie Virtualisation of optical access networks; Machine Learning; Convergence of optical, wireless and cloud networks
Dr. Laura Coffey laura.coffey@mu.ie Assistive Technology; Health and Wellbeing; Independent Living
Dr. Deirdre Desmond Deirdre.Desmond@mu.ie Psychology; Quality of Life; Participation; Enabling Technology; Person-Technology Interface
Dr. Katarina Domijan katarina.domijan@mu.ie Machine Learning; Data/Model Visualization; Survey Research
Dr. John Dooley john.dooley@mu.ie
Dr. Catherine Hurley Catherine.hurley@mu.ie Data Visualisation; Machine Learning; Network/Graph Visualisation
Dr. Aphra Kerr Aphra.Kerr@mu.ie Internet of Things; Data Justice; Social Inclusion
Dr. Rebecca Maguire Rebecca.maguire@mu.ie Quality of Life in Chronic Illness; Wellbeing; Decision Making
Prof. Malcolm MacLachlan Mac.MacLachlan@mu.ie Assistive Technology; Policy; Systems Thinking
Dr. David Malone david.malone@mu.ie Computer Networking; Measurement and Analysis; Security
Dr. Maria Helen Murphy maria.murphy@mu.ie Data Protection; Law and Technology; Ethics 
Dr. Rudi Villing rudi.villing@mu.ie autonomous mobile robotics; Communications and Sensing; Health and Wellbeing
Prof. Max Ammann max.ammann@dit.ie Antennas; Propagation; Electromagnetics
Dr. Damon Berry damon.berry@dit.ie Internet of Things; Smart Spaces; Localisation
Dr. Jane Courtney jane.courtney@dit.ie Computer vision; Image processing; Deep learning
Dr. Ruairí de Fréin ruairi.defrein@dit.ie Decentralized Learning; Network Monitoring; Machine Learning for Sensor Networks
Prof. Mark Davis mark.davis@dit.ie Wireless Networks; Performance Management; Machine Learning.
Dr. Patrick McEvoy patrick.mcevoy@dit.ie Antennas; Ultra Wideband Systems; Radar
Dr. Susan McKeever susan.mckeever@dit.ie Sensor Systems; Environment Monitoring; Machine Learning
Prof. Yuliya Semenova yuliya.semenova@dit.ie Photonics, Optical Fiber Networks,Fiber Sensors

Applications for the academic year 2019/2020 are now closed

We expect to open the application process for the the academic year 2020/21 intake in early 2020. Please visit our website regularly to check on updates. Any questions can be directed to advance-crt@cs.ucc.ie