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UCD

University College Dublin
Country: Ireland
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586 Projects, page 1 of 118
  • Funder: EC Project Code: 334566
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  • Funder: EC Project Code: 789658
    Overall Budget: 187,866 EURFunder Contribution: 187,866 EUR

    In modern digital societies, mobile networks provide connectivity that is crucial for the operation of all other critical infrastructures such as energy, transport etc. Thus, a disruption in the telecommunication infrastructure will lead to severe social and economic consequences. These disruptions often have unpredictable causes such as cyber-attacks, natural catastrophes, technical and human errors. Thus, there is an urgent need to strengthen mobile networks against both cyber and physical threats. Responding to these threats has been identified as a priority by the EU. Future 5th-Generation (5G) mobile networks will be designed using Software Defined Networking (SDN) and network virtualization principles to transform rigid and disparate legacy mobile networks into scalable and dynamic ecosystems. In large-scale SDN networks such as mobile networks, multiple SDN controllers are used to control different network segments. Inter-Controller Communication (ICC) between these multiple SDN controllers is necessary to share control information and to perform important network management functions. If ICC is compromised, then the whole system will be compromised regardless of what happens in the rest of the network. Inevitably, 5G ICC is also vulnerable to a wide range of cyber and physical threats. Since, the exsisting SDN security systems cannot provide a sufficient level of security for 5G ICC against both cyber and physical threats, the RESPONSE-5G project will be the first research project to implement and validate a robust and secure Multi-Controller Communication Platform for 5G Networks which includes prevention and mitigation against both cyber and physical attacks. RESPONSE-5G has far-reaching potential impacts in the domains of 5G security. Through this fellowship and the planned secondments, the candidate will gain advanced research skills and develop abilities in technology transfer and industry engagement, in order to fully exploit these impacts.

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  • Funder: EC Project Code: 618400
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  • Funder: EC Project Code: 704245
    Overall Budget: 187,866 EURFunder Contribution: 187,866 EUR

    The field of ancient human DNA (aDNA) has rapidly undergone changes over the last decade. These changes have been spurred on through the use of high-throughput sequencing (HTS) technologies. These methodological advancements have increased our understanding of the human lineage to depths thought impossible only a short time ago. For example, aDNA research has shown how modern humans are related to our archaic ancestors, indicating significant admixture events throughout our evolutionary history with the Neanderthals and other now-extinct archaic species. However, to achieve these results, the ancient material has been exceptionally well preserved, owing to favorable, i.e. cold, environmental conditions. For many parts of the world, however, the environmental conditions remain a barrier to the extraction and analysis of aDNA. The nature of aDNA research is inherently interdisciplinary, whereby several branches of inquiry, such as archaeology or genetics, attempt to answer similar evolutionary questions from different perspectives. This proposal attempts to use advanced extraction and sampling methods for aDNA from challenging environments in order to broaden the scope of paleogenetics research. Although continental Europe has gained significantly from these advances, for other parts of the world, such as Southeast Asia and the Near East, this has been more difficult due to formidable preservation conditions. The goal of this proposal is to build on promising preliminary results that target a specific bone in the human skull in order to gain a better understanding surrounding the dynamics of aDNA preservation, while at the same time, gain insight into the evolutionary histories of peoples from warm and humid, or warm and arid, locations. Our proposal incorporates state-of-the-art HTS techniques, includes a comprehensive training program with international collaborators, and benefits from a two-way transfer of knowledge between host and researcher.

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  • Funder: EC Project Code: 747585
    Overall Budget: 175,866 EURFunder Contribution: 175,866 EUR

    The Internet-of-Things (IoT) will soon represent the main target application of ICs, involving thousands of autonomous devices forming a large communication network for the purpose of exchanging/processing information about the physical world. From a hardware standpoint, the RF wireless transceivers of IoT devices demand the highest possible energy efficiency and a small area to enable inexpensive large-scale integration. Since analog/RF building blocks must be integrated with the mainstream digital technology, new circuit topologies and techniques must be adopted. The time-mode signaling, recently exploited in all-digital PLLs, data converters (the so called time-mode or VCO-based ADCs), opamps and filters, allows the performance of “analog” circuits to improve with the technology scaling. The proposed research focuses on a novel architecture of time-mode ADC, attempting to mitigate the fundamental limitations of such class of converters (i.e. the highly nonlinear VCO) by exploiting advanced RF techniques, thus giving rise to a hybrid time/frequency-mode operation. Studies have shown that by injection-locking an oscillator to its own delayed resonating waveform (self-injection-locking, SIL), the oscillating frequency can be made reasonably linear versus only two well-controlled parameters (i.e. the amplitude and phase of the self-injected signal). The SIL technique will be exploited to achieve a known, predictable relationship between the oscillating frequency and a certain analog quantity (i.e. the input signal). Accordingly, the proposed research attempts to mathematically overcome, and not to compensate accordingly, the nonlinear characteristic of an oscillator. By adding a simple digital frequency detector, SILICON has potential to devise a new class of data converters, the SIL-ADCs. It will also provide the applicant with cutting edge training from academic & industry leaders in the field which will be implemented using a personalised career development plan.

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