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EU H2020 Projects


On-Going Projects

ELIXIRION rEaLIzing healthcare 4.0 eXploIting the 6G netwoRk evolutION is an EU-funded project that aims to create the first fully-integrated, inter- and multi-disciplinary, highly-innovative training and research network that will set the foundations of the emerging Healthcare 4.0 paradigm. This will be achieved by leveraging 6G technologies targeting to provide all citizens/patients with a wide range of services of different requirements, such as ultra-low latency for latency-critical applications, high speed for data hungry services and ubiquitous secure access to healthcare resources, anytime, anywhere, respecting all privacy aspects, and ensure a secure, efficient, and profitable healthcare ecosystem to all involved stakeholders, while creating a sustainable open market easing access to new players.

Principal investigator: Prof. A. Miliou

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GATEPOST, which stands for Graphene-based All-Optical Technology Platform for Secure Internet of Things, is an EU-funded project that aims to revolutionise computing and security through its groundbreaking graphene-based approach. Graphene and 2D materials offer unprecedented capabilities for efficient nonlinear light interactions with ultra-fast response times. GATEPOST aims to integrate these materials with complementary metal-oxide-semiconductor (CMOS) silicon nitride. The project's main thrust lies in bridging graphene’s potential with standard CMOS processes, leading to breakthroughs in computing and memory.

Principal investigator: Prof. N. Pleros

HellasQCI will implement three metropolitan communication networks in Athens, Thessaloniki and Heraklion Crete, utilizing, among others, Quantum Key Distribution (QKD), terrestrial optical fibre and satellite technologies. The HellasQCI consortium involves key research institutes and universities of Greece, which are able to address the needs for an operational HellasQCI infrastructure.HellasQCI plans to cooperate with other EU Member States in order to boost Europe's scientific and technological capabilities in cybersecurity and quantum technologies.

Principal investigator: Prof. K. Vyrsokinos

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ALLEGRO – "Agile Ultra Low Energy and Secure Networks" is a 3.5 year long EU-funded project that aims to design and validate a novel end-to-end sliceable, reliable, and secure architecture for next-generation optical networks, achieving high transmission/switching capacity with 10 Tb/s for optoelectronic devices and 1 Pb/s for optical fiber systems, low power consumption/cost with > 25% savings and secure infrastructures and data transfers. The architecture relies on key enabling innovations: i) smart, coherent transceivers exploiting multi-band & multi-fiber technologies for P2P and P2MP applications, based on e.g., high-speed plasmonic modulators/photodetectors and programmable silicon photonic integrated waveguide meshes, ii) loss-less, energy-efficient transparent photonic integrated optical switches, eliminating OEO conversions, e.g., with on-chip amplification in the O-band for datacom applications, iii) a consistent approach to security, in terms of functional/protocol architectures and communications, further improving QKD systems, enabling optical channel co-existence and researching on quantum-resistant (post-quantum) cryptography, developing systems based on physically unclonable functions, and iv) a scalable AI/ML assisted control and orchestration system, responsible for autonomous networking, dynamic and constrained service provisioning, function placement and resource allocation, leveraging devices increasing programmability and overall network softwarization.

Principal investigator: Prof. K. Vyrsokinos

Visit ALLEGRO website >

AMBROSIA - "A Μultiplexed plasmo-photonic Βiosensing platfoRm fOr rapid and intelligent Sepsis dIAgnosis at the point of care" is a 4-year EU collaborative project that brings together twelve leading academic and research institutes and companies from eight different countries, aiming to provide the foundations for a multi-sensing future-proof point-of-care unit for sepsis diagnosis. The project was launched in January 2023 and it is funded by the European Commission through HORIZON-CL4-2022 framework, targeting the topic DIGITAL-EMERGING-01-03: Advanced multi-sensing systems (Photonics Partnership).

AMBROSIA will be investing in the established ultra-small-footprint and elevated sensitivity of integrated plasmo-photonic sensors reinforced by the well-known on-chip slow-light effect and the functional processing and classification portfolio of integrated photonic neural network engines for processing and classifying at the same time the data from at least 7 biomarkers and pathogens providing in the first minutes an accurate and rapid diagnosis of sepsis. At the same time, on-chip lasers and photodetectors integrated through micro-transfer printing technology on the hosting silicon nitride sensor and neuromorphic chips will drastically decrease costs tailoring them in System-in-Package prototype assemblies, with the sensor being a cheap disposable pluggable module that can rapidly and accurately diagnose sepsis at the bedside in clinical environments.

Principal investigator: Prof. N. Pleros

Visit AMBROSIA website >

PARALIA is a 3.5-year-long EU-funded project that will enable an agile, low-cost, and energy-efficient multi-sensor combining Radar and Lidar technologies will re-architect the sensors ecosystem, upgrading their capabilities and enabling ultra-high resolution at ultra-long distances crucial for current and futuristic automotive and aerospace applications. To this end, a common Lidar/Radar optical multibeam beamforming platform will be developed based on the best-in-class multi-port linear optical architecture. For its implementation, PARALIA will utilize hybrid InP-SiN integration while leveraging a tight integration of InP components in multi-element arrays and the advances in SiN PZT optical phase shifters with us-reconfiguration time, and low power consumption < 1uW. To demonstrate the universality of the developed optical multi-beam platform will be developed a Lidar and Radar with the support of at least 8 independent beams each. Finally, a multisensor module will combine the Radar and Lidar modules utilizing a processing unit with a specifically developed fusion ML algorithm greatly enhancing the range and resolution of the multisensory platform.

Principal investigator: Prof. N. Pleros

Visit PARALIA website >

MIMOSA is a Marie Curie Post-Doctoral Fellowship project aiming to combine concepts from the RF world with integrated photonics for producing and demonstrating a compact electronically reconfigurable optical MIMO radiating system. The multibeam feeding network and the radiating elements, antennas, will be designed as a single monolithic photonic chip, which will reduce significantly the cost and form factor of the system. Such a multibeam steerable MIMO system is expected to offer high availability links operating in real-life atmospheric conditions offering capacities higher than 50Gbps for up to 1000m link distance. The project will generate a framework for the implementation of high data rate optical wireless links capable to support 5G and beyond fronthaul requirements while reducing the cost, mass, form factor, and power consumption of the links.

Principal investigator: Dr. Ronis Maximidis

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Int5Gent targets the integration of innovative data plane technology building blocks under a flexible 5G network resource, slice and application orchestration framework, providing a complete 5G system platform for the validation of advance 5G services and IoT solutions.  The project builds upon a suite of innovative 5G technological solutions spanning hardware, software, and networking systems , aiming to further upgrade the capabilities and maturity level of cutting-edge 5G core technologies enabling the creation of an innovative 5G ecosystem. A sample of the developed and offered technologies include flexible multi-RAT baseband signal processing, beam steering, mmWave technology solutions at 60GHz and 150GHz bands, hardware-based edge processor with TSN, GPU processing capabilities, innovative 5G terminals and elastic SDN-based photonic data transport. The overall platform is implemented in two extended testbeds which include actual field deployed segments and managed by the network operators of the consortium.

Principal investigator: Dr. Chris Vagionas

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OCTAPUS is a 3.5-year long EU-funded project that aims to bring radical architectural changes at the key aggregation network infrastructure of emerging 5G and industrial internet URLLC network applications, aiming to deliver an agile, low-cost and energy-efficient PIC technology framework that will re-architect the Next Generation Central Office ecosystem with 51.2Tb/s capacity. To realize its ambitious goals, OCTAPUS will leverage the novel integration of antimony-based Phase Change Materials (PCM) on the low-cost SiN to develop for the first time a non-volatile ns-scale optical switch technology for developing an ultra-high capacity optical backplane. OCTAPUS will also deploy a versatile portfolio of InP-based O-band optical components that will enable the realization of 50G low-power board-to-board and long-reach PON transceivers through its monolithic InP fabrication approach. Moreover, OCTAPUS will equip its novel PICs with low loss and compact interfaces to fibers, through advanced glass diplexer-embedded-interposers. Finally, OCTAPUS will synergize the developed optical components in a novel NGCO architecture, supporting 3 layers of traffic with deterministic latency guarantees for URLLC services, through the incorporation of reconfigurable express light paths along with TSN functionality.

Principal investigator: Prof. N. Pleros

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ETHER – sElf-evolving terrestrial/non-Terrestrial Hybrid nEtwoRks – is a 3-year long EU-funded project, under the HORIZON-JU-SNS-2022 call: launched in January 2023, bringing together 13 partners, aiming to provide a holistic approach for integrated terrestrial-non-terrestrial networks targeting at 100% network coverage, 99.99999% service continuity and 99.99999% reliability, with 3 times higher energy efficiency and 95% Total Cost of Ownership reduction compared to current terrestrial only deployments.

To achieve these goals, ETHER develops solutions for a Unified Radio Access Network (RAN) and for the energy-efficient, AI-enabled resource management across the terrestrial, aerial and space domains, while creating the business plans driving future investments in the area. To that end, ETHER introduces and combines a series of key technologies under a unique 3D multi-layered architectural proposition that brings together: i) a UE antenna design and implementation for direct handheld access in the integrated network, ii) a robust unified waveform, iii) energy-efficient seamless horizontal and vertical handover policies, iv) a zero-touch management and network orchestrator to self-adapt to rapidly evolving traffic conditions without human intervention, v) a flexible payload system to enable programmability in the aerial and space layers, vi) joint communication, compute and storage resource allocation solutions targeting at End-to-End network performance optimization leveraging efficient and novel predictive analytics schemes, and vii) energy-efficient semantics-aware information handling techniques combined with edge computing and caching for reduced latency across the distributed 3D compute and storage continuum.

Principal investigator: Dr. Agapi Mesodiakaki

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By developing 100Gbaud Germanium-Silicon (GeSi) Quantum-Confined Stark-Effect (QCSE) modulators and highly sensitive 100Gbaud avalanche photodetectors (APD), SIPHO-G will bring breakthrough optical modulation and photodetection capability to the world of Silicon Photonics. The newly developed compact, waveguide-coupled modulator and detector building blocks will be monolithically integrated in a high-yield cutting-edge 300mm Silicon Photonics platform, propelling the bandwidth density, power efficiency, sensitivity and complexity of silicon photonic integrated circuits to the next level. Supported by an elaborate simulation and design enablement framework, SIPHO-G will demonstrate an extensive set of application-driven prototypes across the O-band and Cband.

By bringing together the entire Silicon Photonics value chain, SIPHO-G will accelerate the development of next-generation co-packaged optics, long-haul optical communications, as well as emerging PIC applications such as optical neuromorphic computing, with performance levels of 4x-20x beyond current state of the art.

Principal investigator: Prof. N. Pleros

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GRACED - "Ultra-compact, low-cost plasmo-photonic bimodal multiplexing sensor platforms as part of a holistic solution for food quality monitoring" is a new 3.5-year collaborative project on the development of novel sensor platforms suited for monitoring the quality and safety of food products, that brings together fourteen leading academic and research institutes and companies from eight different countries. The project was launched in January 2021 and it is funded by the European Commission through HORIZON 2020 framework, targeting the topic ICT-37-2020: Advancing photonics technologies and application driven photonics components and the innovation ecosystem.

GRACED proposes a novel solution for contaminants detection in all stages of the fruits and vegetables (F&V) industry value chains. The heart of the proposed solution is a novel plasmo-photonic bimodal interferometric sensor, combined with low cost onchip light generation, capable of simultaneously and quickly detecting different analytes of interest. The sensor will be part of holistic, modular solution that exploits unique engineering designs, IoT concepts and advanced data analytics, for the early detection of contaminations in the F&V value chains. The approach will be validated in different production & distribution systems.

Principal investigator: Prof. N. Pleros

Visit GRACED website >




Completed Projects

PlasmoniAC – “Energy- and Size-Efficient Ultra-Fast Plasmonic Circuits for Neuromorphic Computing Architectures” – is a new 3-year long EU-funded project, under the H2020-ICT-06-2019: Unconventional Nanoelectronics Call, launched on January 1st, 2020, bringing together 10 partners, aiming to release a whole new class of energy- and size-efficient feed-forward and recurrent artificial plasmonic neurons with up to 100 GHz clock frequencies and 1 and 6 orders of magnitude better energy- and footprint-efficiencies, comparing to the current electronics-based state-of-the art.

PlasmoniAC combines the best of three technology worlds – it employs the proven high-bandwidth and low-loss credentials of photonic interconnects together with the nm-size memory function of memristor nanoelectronics, bridging them by introducing plasmonics as the ideal technology for offering photonic-level bandwidths and electronic-level footprint computations within ultra-low energy consumption envelopes, resulting in a computationally-credible platform with Nx100 Gb/s bandwidth, μm2-scale size and >100 TMAC/s/W computational energy efficiency. PlasmoniAC aims to deliver two different sets of 100 Gb/s 16- and 8-fan-in linear plasmonic neurons, to deploy a whole new class of plasmo-electronic and nanophotonic activation modules, including sin2(x), ReLU, sigmoid and tanh transfer functions, finally combining them into a full set of WDM-accelerated plasmo-electronic and phase-encoded plasmo-photonic feed-forward and recurrent neurons.

In a holistic hardware/software co-design approach, PlasmoniAC will follow the path from technology development to addressing real application needs by developing a new set of DL training models and algorithms concluding to real-time classification of infected data packets within Data Centers at up to 100 GHz. In securing the take-up of its new neuromorphic hardware platform, PlasmoniAC will embed its new technology into ready-to-use libraries within VPIphotonics Design Suite™ environment.

Principal investigator: Prof. N. Pleros

Visit PlasmoniAC website >

NEBULA is a 3-year collaborative project on the development of a neuro-augmented 112Gbaud CMOS plasmonic transceiver platform for Intra- and Inter- DCI applications that brings together twelve leading academic and research institutes and companies. The project was launched in Januray 2020 and it is funded by the European Commission through HORIZON 2020 framework targeting the topic ICT-05-2019: Application driven Photonics components.

NEBULA aims to provide the foundations for a common future-proof transceiver technology platform with ultra-high bandwidth capabilities offered by a CMOS compatible toolkit and tailored towards meeting performance, cost and energy metrics in both inter-DCI coherent and intra-DCI ASIC co-packaged optics. NEBULA will be investing in the established bandwidth- and energy saving credentials of plasmonic modulator solutions together with the functional digital processing portfolio of neuromorphic optical reservoir computing engines towards painting the landscape of the next-coming disruption in transceiver evolution, tailoring them in System-in-Package prototype assemblies that can intersect with the challenging framework of both inter- and intra-DCI segments. NEBULA target to demonstrate i) a fully-functional 8-channel 112Gbaud 16QAM C-band transceiver prototype, offering an aggregate capacity of 3.2Tbps and requiring just 2.65W per single 400Gbps wavelength, providing in this way an energy efficiency of only 6.625pJ/bit with energy savings of 93% compared to current 200Gbps and 19W-consuming pluggable optics and ii) a fully-functional sub-Volt 8-channel 112Gbaud PAM4 O-band transmitter co-packaged with a data generating ASIC, offering a 1.6Tbps aggregate capacity with up to 37% energy savings compared to the estimated power requirements of respective Si-photonic-based co-packaged solutions.

Principal investigator: Prof. K. Vyrsokinos

Visit NEBULA website >

5G-COMPLETE 5G-COMPLETE aims to revolutionize the 5G architecture, by efficiently combining compute and storage resource functionality over a unified ultra-high capacity converged digital/analog Fiber-Wireless (FiWi) Radio Access Network (RAN). The project introduces and combines a series of key technologies under a unique 5G architectural proposition that brings together i) the high capacity of fiber and high-frequency radio, ii) the audacity of converged FiWi fronthauling, iii) the spectral efficiency of analog modulation and coding schemes, iv) the flexibility of mesh self-organized networks, v) the efficiency of high-speed and time-sensitive packet-switched transport, vi) the rapid and cost-efficient service deployment through unikernel technology and finally vii) an enhanced security framework based on post-Quantum cryptosystems. 5G-COMPLETE’s proposed converged Computing/Storage/RAN infrastructure effectively merges the 5G New Radio fronthaul/midhaul/backhaul faculties into one common Ethernet-based platform and transforms the RAN into a low-power distributed computer that shapes new network concepts. 5G-COMPLETE’s results will be validated in a range of scalable lab- and field-trial demonstrators in Athens (Greece), Lannion (France) and Bristol (UK). Upon completion, 5G-COMPLETE will have introduced new business models and novel research opportunities that will be streamlined into tangible results by its 13 consortium partners that expand along the complete 5G research and market chain.

Principal investigator: Dr. G. Kalfas

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MASSTART (Mass manufacturing of Transceivers for Terabit/s era) aims to provide a holistic transformation to the assembly and characterization of high speed photonic transceivers towards bringing the cost down to €1/Gb/s or even lower in mass production. MASSTART will surpass the cost metric threshold by using enhanced and scalable techniques: i) glass interface based laser/PIC and fiber/PIC coupling approaches, ii) leveraging glass waveguide technology to obtain spot size and pitch converters in order to dramatically increase optical I/O density, while facilitating automated assembly processes, iii) 3D packaging (TSV) enabling backside connection of the high speed PIC to a Si carrier, iv) a new generation of flip chip bonders with enhanced placement in a complete assembly line compatible with Industry 4.0 which will guarantee an x6 improvement in throughput and v) wafer-level evaluation of assembled circuits with novel tools that will reduce the characterization time by a factor of 10, down to 1 minute per device.

This process flow will be assessed with the fabrication and characterization of the following four different demonstrators, addressing the mid-term requirements of next generation transceivers required by Data Center operators and covering both inter- and intra- Data Center applications: i) 4-channel PSM4 module in QSFP-DD format with 400G aggregate bit rate, ii) an 8-channel WDM module in a QSFP-DD format with 800G aggregate bit rate, iii) a 16-channel WDM on-board module delivering 1.6Tb/s aggregate line rate and iv) a tunable single-wavelength coherent transceiver with 600Gb/s capacity following the DP-64QAM modulation format on 64Gbaud/s line rate.

MASSTART research project is supported by H2020 Framework Programme for Research and Innovation of the European Commission. The three-year project started officially on January 1, 2019 and brings together eleven leading European companies, research centers and universities.

Principal investigator: Prof. K. Vyrsokinos

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MOICANA (Monolithic cointegration of QD-based InP on SiN as a versatile platform for the demonstration of high performance and low cost PIC transmitters) aims to deploy a versatile, low-cost and large-volume manufacturing transmitter PIC technology by monolithically integrating InP QD laser structures on a passive SiN waveguide platform and demonstrating a whole new series of high-performance cooler-less transmitter modules as monolithically integrated PICs for a broad range of applications. ΜΟΙCANA targets the fabrication and deployment of : i) 25GbE SFP28 pluggable Directly Modulated Laser (DML), ii) a WDM 100GbE QSFP28 pluggable DML, iii) 1λ- and 4λ- Externally Modulated Lasers, and iv) a coherent tunable laser source that will be evaluated in a broad range of applications in the areas of Data Center Interconnects, 5G mobile fronthaul and coherent communications.

MOICANA research project is supported by H2020 Framework Programme for Research and Innovation of the European Commission. The three-year project started officially on January 1, 2018 and brings together eight leading European companies, research centers and universities.

Principal investigator: Prof. K. Vyrsokinos

plaCMOS project is developing powerful integration technology that will allow an eight-fold increase in the speed of optical transceivers used in datacenters. plaCMOS relies on small-proximity wafer scale integration of novel ferroelectric-based plasmonic-photonic modulators, silicon germanium photodetectors and BiCMOS electronics combined in a super-fast, micrometer-scale optical engine capable of transmitting and receiving data at world’s fastest speed of 200 Gbit/s per optical channel.

The project is performing multidisciplinary research extending from novel materials to plasmonic-photonic devices, high-speed electronics and transceiver modules in order to deliver a fully functional solution complying with industry standards while surpassing performance expectations. Driven by user needs, plaCMOS aims to bridge innovative research with near-market exploitation, paving the way for next generation Tbit/s transceivers in monolithic chips.

plaCMOS is a research project on photonic integration, supported by the Horizon2020 Framework Programme for Research and Innovation of the European Commission. The three-year project started officially on December 1, 2017 and brings together seven leading European companies, research centers and universities.

Principal investigator: Dr. D. Tsiokos

QAMeleon aims to deliver a new generation of faster, cheaper, and greener photonic devices spanning from beyond state-of-the-art transponders to novel reconfigurable add drop multiplexers (ROADMs) towards scaling core and metro networks to the next decade enabling i) SDN-enabled generation and reception of reconfigurable optical data-flows having increased spectral efficiency at ultra-high-speed rates up to 128 Gbaud with state-of-the-art modulation format techniques and ii) the development of scalable Colorless Directionless Contentionless and Gridless Reconfigurable Optical Add Drop Multiplexing (ROADM) node architectures supporting spectrum sliceability and on-demand switching reconfigurability.

QAMeleon is a Research and Innovation Action (RIA) program, funded by the European Commission under the Horizon2020 framework targeting the topic ICT-30-2017 – Photonics KET 2017 and the initiative of the Photonics Public Private Partnership. The project has a duration of 4 years, from 01/01/2018 until 31/12/2021, comprising a consortium of 16 partners.

Principal investigator: Dr. Th. Alexoudi

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5G-PHOS is a H2020 5GPPP Phase II project focusing on 5G integrated Fiber-Wireless networks that leverage existing photonic technologies towards implementing a high-density SDN-programmable network architecture. The project has a duration of 3 years, from 01/09/2017 until 31/08/2018, comprising a consortium of 16 partners and coordinated by Aristotle University of Thessaloniki. 5G-PHOS steps into invest in and exploit integrated optical technologies towards enhancing Fiber-Wireless (FiWi) convergence and realizing cost-effective and energy-efficient 5G network solutions for high density use cases. 5G-PHOS is the first coordinated attempt that will draw from existing scientific results in the area of photonics in order to architect 5G networks for dense, ultra-dense and Hot-Spot areas incorporating Photonic Integrated Cirtuits (PICs) in optical mmWave signal generation, DSP-assisted optical transmission, reconfigurable optical add/drop multiplexing (ROADM) and optical beamforming functionalities. 5G-PHOS expects to release a seamless, interoperable, RAT-agnostic and SDN-programmable FiWi 5G network that supports 64x64 MIMO antennas in the V-band.

Principal investigator: Prof. N. Pleros

5G-STEP-FWD proposes a new architecture that uses UDWDM PONs as the backhaul of mmWave networks in order to achieve high capacity and low latency backhauling. The proposed architecture takes full advantage of the ultra-narrow wavelength spacing of the UDWDM technology, in order to provide connectivity to a dense small-cell population. At the physical layer domain, 5G STEP FWD aims at providing a comprehensive framework based on a disruptive device- or user-centric cellular concept, which will allow smart overlaid peer-to-peer communications, while it will also optimally allocate small cells where the fiber goes. At the network layer domain, we envision the modelling and optimization of the 5G STEP FWD network resource usage through the incorporation of a Software-Defined-Network (SDN) framework, which integrates multiple wireless and backhaul resources into a single pool, and could play a key role in supporting multi-tenancy and enabling the network operation management and optimization. Moreover, the mission of 5G STEP FWD is to create a vibrant EU-based training and research environment for young European and international researchers, aiming at designing architectures, systems and algorithms for building the 5G cellular network of tomorrow.

Principal investigator: Prof. A. Miliou

Visit 5G-STEP-FWD website >

streams_logoICT-STREAMS is a 3-year collaborative project on the development of the necessary Silicon Photonics Transceiver and Routing technologies towards a new, power efficient, WDM-based, Tb/s, optical on-board interconnection paradigm that enables multiple high bandwidth, point-to-point direct links on the board level, as a step forward to the realization of exa-scale computing systems.

Principal investigators: Prof. N. Pleros, Dr. Th. Alexoudi

View the project's brochure >

PLASMOFAB is a 3-year collaborative project on CMOS-compatible photonic, plasmonic and electronic integration that brings together ten leading academic and research institutes and companies. The project was launched in Januray 2016 and this project has received funding from the European Union's Horizon 2020 ICT research and innovation programme under grant agreement No 688166.

Principal investigators: Prof. N. Pleros, Dr. D. Tsiokos

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L3MATRIX (Large Scale Silicon Photonics Matrix for Low Power and Low-Cost Data Centers) aims to provide a new method of building switching elements for Data Centers that combines a high radix connectivity architecture with an extended bandwidth of 25 Gb/s in single mode fibres and waveguides with low latency. The objective is to develop a novel SiP matrix with a scale larger than any similar device with more than 100 modulators on a single chip and will integrate embedded laser sources with a logic chip thus breaking the limitations on the bandwidth-distance product.

Principal investigators: Prof. N. Pleros

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EU FP7 Projects


COMANDER is a 4-years EC-funded project, officially launched on 1st October 2013, funded under the Marie Curie Industry-Academia Partnerships and Pathways (IAPP) action call FP7-PEOPLE-2013-IAPP. COMANDER targets the design, development and deployment of a fully converged Next-Generation Fiber-Wireless network architecture that provides simultaneous fixed and mobile access at unforeseen multi-Gbps wireless transmission speeds.

Principal investigator: Prof. N. Pleros

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PhoxTrot is a 4-years EC-funded large-scale research effort focusing on high-performance, low-energy and cost and small-size optical interconnects across the different hierarchy levels in data center and high-performance computing systems: on-board, board-to-board and rack-to-rack. PhoxTroT will tackle optical interconnects in a holistic way, synergizing the different fabrication platforms in order to deploy the optimal “mix&match” technology and tailor this to each interconnect layer. PhoxTroT will follow a layered approach from near-term exploitable to more forward looking but of high expected gain activities.

Principal investigators: Prof. N. Pleros, Prof. K Vyrsokinos

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MIRAGE is a 3-year collaborative project on photonic integration that aims to implement cost-optimized components for terabit optical interconnects introducing new multiplexing concepts through the development of a flexible, future-proof 3D “optical engine”. MIRAGE brings together seven leading European universities, research centers and companies. The project was launched in October 2012 and is co-funded by the European Commission through the Seventh Framework Programme(FP7).

Principal investigators: Prof. N. Pleros, Dr. D. Tsiokos

RAMPLAS is a 3-years EC-funded research project envisioning the development and demonstration of a Silicon-based, integrated Optical RAM chip for enabling High-Speed Applications in Computing and Communications. RAMPLAS has been launched in September 2011 and is supported by the European Commission within the Seventh Framework Programme (FP7‐ICT‐2009‐C). RAMPLAS will revisit RAM fundamentals and will lay the foundations for optical RAM technology and for optical RAM-enabled "green” and ultra-fast computing architectures. RAMPLAS will develop the first 100GHz optical RAM chips and will foster a new framework of disciplines for its effective application in ICT.

Principal investigators: Prof. N. Pleros, Dr. G. T. Kanellos

PLATON is a 3-years EC-funded research project envisioning the development and demonstration of an integrated, on-chip Tb/s optical router for back-plane or Blade-Server interconnects through merging plasmonics and silicon photonics technology, employing plasmonics for the switching functionalities and silicon photonics for filtering, multiplexing and header detection processes. PLATON has been launched in January 2010 and is supported by the European Commission within the Seventh Framework Programme (FP7-ICT-2009-4).

Principal investigator: Prof. N. Pleros

National Projects


DeepLight is a Hellenic Foundation for Research and Innovation (HFRI) and the General Secretariat for Research and Technology (GSRT) 3-year project intending to transform photonics into a highly efficient Deep Learning-enabling integrated technology that can operate at >10GHz clock frequencies with sub-pJ/bit energy efficiency values and to deploy Deep Learning algorithms optimally adapted to the idiosyncrasy of the executing photonic neuromorphic hardware through a holistic hardware-software co-design approach.

In this effort, DeepLight aims to design, deploy and experimentally demonstrate a photonic neuromorphic hardware layout exploiting photonic integrated interferometric circuitry and optical memory technology for the weighting and activation functions, respectively. DeepLight intends to design and validate accelerated photonic neuromorphic architectures by introducing WDM and orthogonal IQ modulation formats, yielding a total acceleration factor of more than 2 orders of magnitude compared to electronic neuromorphic processors. Finally, DeepLight will develop DL algorithms optimally adapted to the peculiarities of the underlying photonic executing infrastructure, establishing the theoretical foundations for optically-enabled Deep Learning models and deploying practical Deep Learning techniques on photonic hardware, with the final aim being to demonstrate well-established datasets executed via photonic circuitry.

Principal investigator: Prof. N. Pleros

Visit DeepLight website >

CAM-UP foresees that the future Internet and Internet of Things will stand on shoulders of powerful high-radix routers with multiple inter-connectivity links, which certainly requires fast Address Look-Up operations and aims to prepare the necessary photonic upgrade for Internet core routers, to perform ultra-fast Address Look-Up searches directly in the optical domain. During this project, all the photonics alternatives of Ternary Content Addressable Memory (TCAM)- based architectures will be developed, to allow Address Look-Up tables to truly “CAM-UP” (speed up) and be able to handle high-radix inter-connections between high-bandwidth optical links energy efficiently.

The overall vision of CAM-UP is to resolve the performance gap between optical linerates -vs- electronic Address Look-Up-search rates, by replacing the last missing piece of the puzzle of fast packet routing, the T-CAM based memory. This will enable look-up functionalities using light instead of electrons, to unleash unprecedented memory bandwidths and speed enhancement by at least ten times. Its four main objectives are: i) to design and experimentally demonstrate the first optical T-CAM cells at rates beyond 10Gb/s, ii) to develop the theoretical groundwork of optical T-CAM memory architectures, iii) to develop a set of wavelength encoding/decoding peripherals and iv) demonstrate optical look-up operations on photonic integrated T-CAMs.

CAM-UP is a 3-year research project that has received funding from the Hellenic Foundation for Research and Innovation (HFRI) and the General Secretariat for Research and Technology (GSRT), through the CAM-UP project under grant agreement No 230.

Principal investigator: Dr. Ch. Vagionas

ORION aims to build upon the emergence of optical hardware towards radically transforming the way memory is organized in a computing environment. ORION proposes a novel solution by completely separating processor chips from interconnect, cache memory and DRAM elements, leading to a high-throughput, reconfigurable and modular setting where processing cores, cache memories, DRAMs and interconnects will comprise disjoint modules and can dynamically re-distribute data, tasks and resources. For this purpose, ORION will blend innovations across a highly interdisciplinary and broad area spanning from photonics through cache schemes up to computing architectures. ORION will ensure harmonic co-operation between a pool of high-throughput off-chip optical L1 caches, a “cache-light” processor and DRAM modules, interconnected through a strictly non-blocking, collision-less, off-chip photonic Network on chip (pNoC) transforming multicore computing systems into a reconfigurable modular infrastructure that can be tailored to the application needs.

ORION is a 3-year research project that has received funding from the Hellenic Foundation for Research and Innovation (HFRI) and the General Secretariat for Research and Technology (GSRT), through the ORION project under grant agreement No 585.

Principal investigator: Dr. T. Alexoudi

PHORTRAN (Photonic Real Tim Chromatographer Analyzer) will develop a novel method and system for separating and purifying substances, such as ions, molecules, macromolecules or particles dispersed in a liquid mixture, by a Photonic Chromatograph. The separation of substances in the proposed PC is obtained by the interaction of individual components of the mixture, through excitation by optical radiation, with a stationary phase porous surface. The output of the Photonic Chromatographer will be connected to a highly sensitive sensor for the real time measurement of multiple parameters including among others threshold of optical power for porous surface - nanoparticle interaction, minimum and maximum functional particle size, retention of nanoparticles with light power, excitation time of nanoparticles, etc with a very high confidence. All these data are very crucial for biologists working with particles of a few nm such as DNA, proteins.

Principal investigator: Prof. K. Vyrsokinos

WiSe-PON targets the demonstration of a novel access network infrastructure capable of converging fixed and mobile connectivity and of delivering heterogeneous wireless and FTTH services over existing Passive Optical Network infrastructures. WiSePON is a 3-years research project funded by the Greek Secretariat for Research and Technology under the National Action "Cooperation".

Principal investigator: Prof. N. Pleros

Contact Us

  • Wireless and Photonic Systems and Networks Research Group
  • Balkan Center, Building A
  • 10th klm Thessalonikis - Thermis
  • 57001 - Greece
  • +30 2310 990588
  • +30 2310 990589

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