ITML R&D department carries more than 10 years of expertise in Research and Development. The company comprises numerous selected, internationally recognized and multi-experienced electrical and computer engineers, who have been conducting research at an international level through their participation in EU (FP7, H2020, CEF, ARTEMIS) & Qatar (NQRF) funded R&D projects in the area of ICT.

Current R&D Projects


The PALAEMON project aims to support the safety of passengers and address the increasing need for advanced passenger ship evacuation methodologies by defining a new ICT sophisticated mass centralised evacuation framework. The proposed framework is based on a radical re-thinking of Mass Evacuation Vessels (MEVs) combined with an intelligent ecosystem of critical components in order to provide real-time access and representation of data. Ultimately, the aim is to establish appropriate evacuation strategies for optimising the operational planning of the evacuation process on damaged or flooded vessels.

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ROXANNE is a Horizon2020 EU funded project that brings together 24 European partners comprising technology providers and the strongest organizations in the field of crime investigation and monitoring, known as Law Enforcement Agencies (LEAs). The project aims to develop a novel platform combining advances of speech, language, video technologies and criminal network analysis that will assist LEAs in their daily activities, ultimately speeding up their investigative processes as well as reducing the cost and burden to the society caused by organized crime activities.

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NewControl overarching goal is to provide an industrially calibrated trajectory towards increased user-acceptance of automated driving control functions, through an approach that is centred on the premise of safety by design. The project aims to develop virtualised platforms for vehicular subsystems that are essential to highly automated driving (realizing functions such as perception, cognition and control), so as to enable mobility-as-a-service for next generation highly automated vehicles.

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The AI4DI project aims to combine Industry 4.0 achievements and Artificial Intelligence (AI) to accelerate AI adaptation and digitisation of industrial manufacturing lines. This will be facilitated through transferring machine learning (ML) and artificial intelligence from the cloud to the edge, making AI resilient, safe and secure for the manufacturing and process technology of the future.

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The C4IIoT project aims to design, build and demonstrate a novel and unified Cybersecurity 4.0 framework that implements an innovative Internet-of-Things (IoT) architecture paradigm to provide an end-to-end holistic and disruptive security-enabling solution for minimising the attack surfaces in Industrial IoT systems.

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Smartship brings together Information and Communication Technologies (ICT) of focused universities, research institutions and strong industrial partners from the maritime sector in order to build a holistic, integrated ICT and IoT-enabled cloud-based framework for sustainable, individualised and completely automated energy management of ships.

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THREAT-ARREST fills in the gap for an advanced security training framework implemented within any organization type, helping them to cope with the ever-expanding landscape of cyber-attacks and protect effectively and efficiently their ICT cyber-systems.

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Consumer Engagement towards Energy Saving Behavior by means of Exploiting Micro Moments and Mobile Recommendation Systems.

The motivation for this project is the need to present to consumers evidence-based results on the costs and benefits of ICT-enabled energy efficiency techniques, together with clear and on-time, engaging guidance and support on how to realize the energy savings available, so as to widen user adoption of such techniques and increase their effectiveness.

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SIT4Energy will advance work in 3 pillars, namely (P1) technological innovation, (P2) business models and (P3) consumer empowerment solutions, so as to increase consumers’ awareness about real energy efficiency benefits, and support them in adopting new energy saving habits. This will be achieved by (i) exploiting micro-moments in creating mobile recommendation systems, (ii) motivating consumers real-time for the first time to develop energy efficient practices throughout their daily activities and (iii) devising new business models along with customized marketing strategies. The resulting consumer centered acceptance solutions will be validated though 3 pilots, securing the participation of over 1350 users and using surveys for populating the SIT4Energy solutions with valid feedback.

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Industrial-Driven Big Data as a Self-Service Solution I-BiDaaS aims to empower users to easily utilize and interact with big data technologies, by demonstrating a unified solution that significantly increases the speed of data analysis while coping with the rate of data asset growth.

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The I-MECH target is to provide augmented intelligence for wide range of cyber-physical systems having actively controlled moving elements, hence support development of smarter mechatronic systems. They face increasing demands on size, motion speed, precision, adaptability, self-diagnostic, connectivity, new cognitive features, etc.

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The main objective of Productive4.0 is to achieve significant improvement in digitalising the European industry by means of electronics and ICT. Ultimately, the project aims at suitability for everyday application across all industrial sectors – up to TRL8. It addresses various industrial domains with one and the same approach of digitalisation. What makes the project unique is the holistic system approach of consistently focusing on the three main pillars: digital production, supply chain networks and product lifecycle management

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Transforming Transport

The TransformingTransport project will demonstrate, in a realistic, measurable, and replicable way the transform-ative effects that Big Data will have to the mobility and logistics market. To this end, TransformingTransport, vali-dates the technical and economic viability of Big Data to reshape transport processes and services to significantly increase operational efficiency, deliver improved customer experience, and foster new business models

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Research Areas

We focus on innovation aspects, which are often overshadowed by research concerns, and on turning promising ideas into concrete and robust products, in a cost and time-efficient manner. Focusing on telecommunication networks & services and secure, energy efficient smart city applications, we are committed to continue along this successful path: Discover or conceptualize Innovation first, then turn it into working systems through intense and continuous involvement in cutting-edge research projects.



Secure & Energy efficient IoT frameworks

The Internet of Things (IoT) is a major conceptual and technological advance that has been maturing over the last few years. IoT is about convergence of many technologies in multiple domains (including computing platforms, machine learning, cyber-physical systems etc.) to serve a multitude of domains. ITML focuses on the design and development of secure IoT structures for a number of application domains, and on the integration of services into generic IoT frameworks that include the overall building blocks for a wide variety of IoT use cases.

Main points of interest include:

  • Secure & efficient data aggregation algorithms
  • Energy – efficient Wireless Sensor Networks
  • Autonomic and distributed decision making algorithms
  • Availability, Robustness and Reconfigurability




Smart Transportation Systems

Most European cities are overcrowded with vehicles, facing a continuously growing volume of traffic. Only very large cities can afford to be equipped with highly expensive in-road sensor infrastructure that allows assessment of traffic in real-time, while all citizens in all cities may need such information. Traffic congestions, an everyday phenomenon, are not only caused by the large number of vehicles using the road infrastructure. They are also often incurred by unpredicted accidents and emergencies, which are, at the same time, associated with serious injuries and fatalities.
Towards Smart Transportation Systems that enable Cities provide advanced transportation services and deal with the aforementioned challenges, ITML has been conducting immense research in the following specific areas:

  • Real-time and accurate information provision to the driver
  • Non-centralized transportation management practices that will cater for tailor-made solutions for the driver
  • In-vehicle intelligence and V2V connectivity
  • Cooperation among heterogeneous technologies in ITS




Smart Healthcare Services

The EU directives towards "ICT for Health activities" address the "health management" continuum from lifestyle to disease management, including disease prevention and management of comorbidities. This will be complemented by the research in the computational modelling of human physiology paving the way for the next generation of healthcare services to enable patient empowerment and safer, more personalised care. In this respect, the design and development of complex distributed systems for medical purposes present important challenges.
ITML focuses on the design and development of:

  • Advanced electronic healthcare applications
  • Autonomic management systems for the provision of individualized services to patients @home
  • End-to-end platforms for ubiquitous access to e-health services and applications
  • Advanced patient monitoring through medical and non-medical sensors (e.g. in intelligent home environments)




Network Management and Control

ITML focuses on the research and development of:

  • Future Internet Architectures & Protocols
  • Software Defined Networking (SDN)
  • Passive & Active Monitoring for Large-scale Networks
  • Network Security:  Anomaly Detection in High Speed Networks
  • QoS & Policy Based Management