Research Topic Title:

ASSISTANCE AND ANALYSIS SYSTEMS FOR ULTRASOUND EXAMINATIONS OF PATIENTS HOSPITALIZED IN INTENSIVE CARE UNITS

No. of Openings:

1

Description:

The use of ultrasound for the examination of patients in intensive care units is becoming increasingly widespread due to its ease of use without invasive methods and without radiation.

The aim of this PhD thesis is the study of se or cardiac ultrasound combined with smart system technologies for applications like:

• Investigation of techniques using computer-based systems that will guide inexperienced operators to acquire optimal ultrasound images.
• Automatic detection of endocardial boundaries and monitoring of cardiac systolic function.
• Recognition of various myocardial sections and real time monitoring of movements for possible problems.
• The conditions of the Intensive Care Unit will be considered for every potential application.

Funding:

n/a

Required Qualifications:

Candidates are expected to have a strong background in a related field, such as computer science, medicine, biomedical engineering or relevant fields.

Research Advisor:

Name/Surname:

Efthyvoulos Kyriacou  

Position:

Assistant Professor

Email:

efthyvoulos.kyriacou@cut.ac.cy

Research Topic Title:

COGNITIVE COMPUTING RESOURCES MANAGEMENT IN THE CLOUD, EDGE, AND IOT CONTINUUM

No. of Openings:

1

Description:

Recent technological advancements have enabled the interconnection of heterogeneous IoT devices, edge devices, and the cloud in a common network. This allows for the deployment and execution of data-driven applications using distributed computing resources, reducing the need for cloud centralization but introducing various scheduling and management challenges. The goal is to develop novel artificial intelligence (AI)-based distributed algorithms for automating the management of computing resources management as well as the dynamic resources reconfiguration to meet application requirements. For more information and discussion on the topic and research, potential candidates can contact Dr. Herodotos Herodotou at herodotos.herodotou@cut.ac.cy. General information on Dr. Herodotou’s research lab can be found at https://dicl.cut.ac.cy/

Funding:

Funding is available through involvement in a Horizon Europe research program for qualified applicants.

Required Qualifications:

Undergraduate (BSc) and postgraduate (MSc) degrees in Computer Science or related field. The ideal candidate should enjoy working on cutting-edge systems research problems and have good software development skills. Prior research experience or specialization in related topics will be considered an advantage.

Research Advisor:

Name/Surname:

Herodotos Herodotou

Position:

Associate Professor

Email:

herodotos.herodotou@cut.ac.cy

Research Topic Title:

INTELLIGENT FAULT DIAGNOSIS FOR DISTRIBUTED SYSTEMS AND NETWORKS

No. of Openings:

1

Description:

The emergence of 5G, IoT, WSN and Industry 4.0 technologies has made possible the collection of large amounts of real-time data about a monitored environment. There is currently a need to develop fault tolerant methods and architectures for distributed systems and networks. The proposed research will focus on innovative fault diagnosis approaches that can learn characteristics or system dynamics of the monitored environment and adapt their behavior in order to handle missing or inconsistent data and achieve fault tolerant monitoring. 

Funding:

Funding is available for full-time qualified applicants through involvement in aerOS https://aeros-project.eu/, a Horizon Europe Research Program.

Required Qualifications:

Undergraduate (BSc) and postgraduate (MSc) degrees in Electrical Engineering or Computer Science or related field. Prior research experience or specialization in related topics will be considered an advantage.

Research Advisor:

Name/Surname:

Michalis Michaelides

Position:

Associate Professor

Email:

michalis.michaelides@cut.ac.cy

Research Topic Title:

DC3: DATA-DRIVEN DECENTRALISED CONTROL DESIGN IN ACTIVE DISTRIBUTION GRIDS

No. of Openings:

1

Description:

This position is part of EU-funded MSCA Doctoral Network DENSE (https://dense-dn.eu/). All applications should be redirected through the project’s recruitment page (https://dense-dn.eu/recruitment/ ).

Active Distribution Grids (ADGs) are emerging as the building blocks for ensuring the stability and resilience of future power grids. Through the coordinated control of distributed energy resources (DERs), ADGs can support bulk power grids during emergency conditions and improve fault tolerance. To achieve this, centralized and decentralized control algorithms have been proposed, each with different performance benefits and cost requirements. While centralized control algorithms have better performance than decentralized, they have much higher investment cost in monitoring and control infrastructure. Data-driven algorithms can be used to bridge the gap between the two control types – developing decentralized, cheap, easy to employ algorithms that can offer the performance of centralized control schemes. Moreover, the employment of unsupervised learning controls allows us to improve the controller performance and robustness during the system operation. In this project, we will investigate the design of decentralized ADG controls with the use of data-driven robust optimization methods and based on historical and forecasted data. Building upon previous expertise, the objectives of this are to develop a decentralized control design framework for DERs in an ADG using a physics informed data-driven approach, with consideration of network static and dynamic constraints. Moreover, an efficient learning-based predictive control framework will be developed for optimal operation of ADGs, considering the parametric and input uncertainty from the network model, the renewable generation and the consumption. The DC will join the Sustainable Power Systems Lab @ CUT.

Funding:

The 12 selected DCs will be recruited with a full employment contract of 3 years (36 months), which will comprise:

• A living allowance of 3400 € (multiplied by a country correction coefficient), corresponding to the gross salary (employer/employee) paid in monthly instalments to the DC fellows, inclusive of all social security coverage, contribution to pension funds and unemployment indemnity;
• A mobility allowance of 600 € for fellows’ expenses linked to their mobility (e.g., relocation and accommodation expenses);
• A family allowance of 660 € (if applicable);
• For each DC fellowship a contribution to costs needed to carry out research projects (e.g. consumables, publications, others) and a contribution to the training activities (e.g. local and network trainings as well as conference and workshop participations) managed directly by the main hosting organisation is provided;
• Fiscal treatment, social security (SSC) and sick/maternity or paternity leave will be fully covered according to the national Social Security regulation of the country of recruitment.

Required Qualifications:

• A degree in engineering, preferably with a focus on electrical engineering, control engineering, or power engineering - alternatively you have a comparable qualification.
• Sound knowledge of electrical engineering or machine learning methods or electric power system modelling and analysis
• Experience in at least one higher programming language (preferably Python, Julia, C++, or Matlab).
• Ability to work scientifically, independence, flexibility, teamwork and communication skills
• Interest in applied research work in sustainable and intelligent power systems
• Desire for professional and personal development
• Very good knowledge of English

Research Advisor:

Name/Surname:

Petros Aristidou

Position:

Assistant Professor

Email:

Petros.aristidou@cut.ac.cy

Research Topic Title:

DC6: OPTIMAL OPERATION OF ELECTRIC VEHICLES AND HEAT PUMPS IN ACTIVE DISTRIBUTION GRIDS

No. of Openings:

1

Description:

This position is part of EU-funded MSCA Doctoral Network DENSE (https://dense-dn.eu/). All applications should be redirected through the project’s recruitment page (https://dense-dn.eu/recruitment/).

The increasing penetration of renewables, accompanied by the decommissioning of conventional power plants, has reduced inertia in many electric power systems. This is particularly more prominent in islanded networks and leads to several problems affecting the stability and resilience of the system. At the same time, the increasing electrification of transportation (mainly electric vehicles) and heating (mainly heat pumps) leads to technical challenges in Distribution Networks (DNs) and energy management challenges in the bulk transmission system. However, the optimal operation of these highly controllable loads through new Vehicle-to-Grid (V2G) technologies can offer solutions to technical challenges within the DNs and, simultaneously, support the low-inertia problems in the bulk transmission system.

In this project, we will investigate the design of optimal operation strategies for EVs and heat pumps located in DNs. The project’s primary objectives are:

• The development of centralized optimization-based algorithms, implemented in the DN SCADA system, that incorporate both static and dynamic network constraints;
• The increase of fault tolerance and resilience of low-inertia power systems through DSO-to-TSO support and coordination;

The reduction of the cost of operation of low-inertia power systems.

Funding:

The 12 selected DCs will be recruited with a full employment contract of 3 years (36 months), which will comprise:

• A living allowance of 3400 € (multiplied by a country correction coefficient), corresponding to the gross salary (employer/employee) paid in monthly instalments to the DC fellows, inclusive of all social security coverage, contribution to pension funds and unemployment indemnity;

• A mobility allowance of 600 € for fellows’ expenses linked to their mobility (e.g., relocation and accommodation expenses);

• A family allowance of 660 € (if applicable);

• For each DC fellowship a contribution to costs needed to carry out research projects (e.g. consumables, publications, others) and a contribution to the training activities (e.g. local and network trainings as well as conference and workshop participations) managed directly by the main hosting organisation is provided;

• Fiscal treatment, social security (SSC) and sick/maternity or paternity leave will be fully covered according to the national Social Security regulation of the country of recruitment.

Required Qualifications:

• A degree in engineering, preferably with a focus on electrical engineering, optimization, control engineering or power engineering - alternatively you have a comparable qualification.
• Sound knowledge of electricla engineering, control engineering or optimization methods or electric power system modeling and analysis
• Experience in at least one higher programming language (preferably Python, C++, Julia or Matlab)
• Ability to work scientifically, independence, flexibility, teamwork and communication skills
• Interest in applied research work in sustainable and intelligent power systems
• Desire for professional and personal development
• Very good knowledge of English

Research Advisor:

Name/Surname:

Petros Aristidou

Position:

Assistant Professor

Email:

Petros.aristidou@cut.ac.cy

Research Topic Title:

THEORETICAL AND EXPERIMENTAL INVESTIGATION OF   GEOTHERMAL SYSTEMS

No. of Openings:

1

Description:

Required a theoretical and experimental investigation of geothermal systems

Funding:

n/a

Required Qualifications:

BSc and/or MSc in Electrical Engineering and Computer Engineering or Computer Science or Physics, or any other related subject. Strong mathematical modeling background will be considered an advantage.

Research Advisor:

Name/Surname:

Paul Christodoulides

Position:

Assistant Professor

Email:

paul.christodoulides@cut.ac.cy

Research Topic Title:

PRODUCTION OF HYDROGEN BY FREQUENCIES, HYDROLYSIS AND IMPURITIES OF MATERIALS. THEORETICAL AND EXPERIMENTAL APPROACH

No. of Openings:

1

Description:

Required a theoretical and experimental approach for the production of hydrogen by frequencies, hydrolysis and impurities of materials.

Funding:

n/a

Required Qualifications:

BSc and/or MSc in Electrical Engineering and Computer Engineering or Computer Science or Physics, or any other related subject.

Research Advisor:

Name/Surname:

Paul Christodoulides

Position:

Assistant Professor

Email:

paul.christodoulides@cut.ac.cy

Research Topic Title:

ENABLING POWER SYSTEMS OF LOWER COSTS AND CARBON EMISSIONS THROUGH DECENTRALIZED ENERGY STORAGE MANAGEMENT, RENEWABLES AND DISPATCHABLE GENERATION. THE CASE OF CYPRUS FOR AN ISOLATED POWER SYSTEM

No. of Openings:

1

Description:

Current power systems were designed many years ago, without provisions for integrating any non-dispatchable generation (e.g., Renewable Energy Sources) or handling bidirectional energy flows. Significant challenges that all Transmission and Distribution System Operators (TSOs and DSOs) need to address are congested assets such as power lines and transformers, system stability due to excess generation and low demand and optimum economic dispatch due to the stochastic nature of renewable generation. Such problems become even worse in isolated power systems where system weakness increase with the increase of RES and significant curtailments take place.

Energy storage can be a solution, as it can absorb excess renewable generation and provide it when it is needed, resulting to a smoother power demand as seen by the dispatchable generators and hence, allowing a more efficient generation unit commitment and dispatch. Nevertheless, with centralized storage there is little or no benefit for grid congested substations and power lines, which face power flows close to their limits and in case of any faults or failures, significant distributed generation or load may be disconnected for system’s stability reasons. Hence, allowing decentralized energy storage at different congested locations of the utility grid, allows an increased penetration of RES with a reduced curtailment. The main objective of the study is to examine the addition of decentralised storage at different strategic substations of the grid through energy management optimization of the storage to quantify the benefits of the system in terms of investment and running costs and RES integration gain.

Funding:

n/a

Required Qualifications:

BSc and/or MSc in Electrical Engineering and Computer Engineering or Computer Science or Physics, or any other related subject.

Research Advisor:

Name/Surname:

Paul Christodoulides

Position:

Assistant Professor

Email:

paul.christodoulides@cut.ac.cy

Research Topic Title:

AI-ASSISTED CHESS TRAINING

No. of Openings:

1

Description:

An outline of the project's objectives, functionalities, and potential challenges:

• The chess AI agent plays a game with the student.
• The evaluation function monitors every move.
• The agent would be triggered by the move evaluation function when the student makes a bad move (big deviation from the expected evaluation) and AI would take action.
• The agent would describe the problem and offer a solution.
• AI would try to understand the wrong thinking process of the student which caused the mistake and offer correcting measures.
• The improvement of the student would come by the solutions and corrections recommended by the AI in the form of text (describing the problem and suggesting correcting actions), displaying appropriate material (opening theory, middle game strategies, similar games as example, and others) and offering relative exercises (opening lines memorization, tactics, endgame techniques, and others).
• The progress of the student will be checked in future responses.
• In a similar situation in the future, the student plays correctly, agent earns reward points.
• This encourages the agent to do its best to achieve this result.

Funding:

n/a

Required Qualifications:

Prerequisites: Good knowledge of PyTorch, experience with chess playing, MSc in computer science or related.

Research Advisor:

Name/Surname:

Sotirios Chatzis

Position:

Associate Professor

Email:

sotirios.chatzis@cut.ac.cy

Research Topic Title:

ENHANCING USER INTERFACE DESIGN WITH LANGUAGE MODEL-DRIVEN CODE GENERATION: A METHODOLOGICAL APPROACH FOR SOFTWARE DEVELOPMENT

No. of Openings:

1

Description:

PhD Description: This research explores the integration of Large Language Models (LLMs) in the development and optimization of user interfaces (UIs) for software applications. By harnessing the capabilities of LLMs to understand and generate code, this study aims to establish a novel methodology that bridges the gap between high-level UI design concepts and their practical implementation in software development.

Funding:

n/a

Required Qualifications:

Working knowledge of PyTorch.

Previous experience in research and development projects will be an added advantage.

Research Advisor:

Name/Surname:

Sotirios Chatzis

Position:

Associate Professor

Email:

sotirios.chatzis@cut.ac.cy