# Home - Algolysis Ltd > Markdown mirror of DialtoneApp's public top-site detail page for `algolysis.com`. URL: https://dialtoneapp.com/top-sites/algolysis.com/index.md Canonical HTML: https://dialtoneapp.com/top-sites/algolysis.com ## Summary - Domain: `algolysis.com` - Website: https://algolysis.com - Description: ai readable | score 20 | purchase read only - Label: ai_readable - Payment surface: Not available - Purchase boundary: read_only - Control boundary: unknown - Rank: 738643 ## robots ~~~text User-agent: * Disallow: /wp-admin/ Allow: /wp-admin/admin-ajax.php Sitemap: https://www.algolysis.com/sitemap.xml Sitemap: https://www.algolysis.com/sitemap.rss ~~~ ## llms ~~~text Generated by All in One SEO v4.9.6.2, this is an llms.txt file, used by LLMs to index the site. # Algolysis Ltd Algorithmic Problem Solving ## Sitemaps - [XML Sitemap](https://www.algolysis.com/sitemap.xml): Contains all public & indexable URLs for this website. ## Posts - [News](https://www.algolysis.com/news/) - [[KeepA(n)I] Project Final Stakeholder Event](https://www.algolysis.com/keepani-project-final-stakeholder-event/) - We are excited to announce that the #KeepAnI project final stakeholder event took place at the premises of CYENS Centre of Excellence in Nicosia on the 22nd of July! The stakeholders got the chance to get to know the project through the excellent presentations from the coordinator Evgenia Christoforou and Jahna Otterbacher, see and interact - [[CHARISMA] - Experiment #3](https://www.algolysis.com/charisma-experiment-3/) - Despite the 45 degrees in Nicosia yesterday, it was a very cool day for the CHARISMA project! Experiment #3 to test the range of the modules and the ability to run the Distributed Shared Memory algorithms in long distances. Kudos to the Algolysis team, and especially Andria Trigeorgi, for the excellent organisation and execution of - [Ma(R)s Project Kick-Off Meeting](https://www.algolysis.com/mars-project-kick-off-meeting/) - We’re thrilled to introduce the Ma(R)s Project - Memory-as-a-(Reconfigurable) Service (Ma(R)S), a collaborative effort between Algolysis Ltd and the University of Cyprus under the PhD in Industry framework. Ma(R)s aims to develop an innovative web-based platform offering distributed shared memory for real-time, latency-efficient, data and consistency-driven distributed applications. Project Highlights: Ma(R)s focuses on developing Distributed - [Charisma project kick-off meeting](https://www.algolysis.com/charisma-project-kick-off-meeting/) - It was a pleasure to host and coordinate the Kick-Off Meeting of our new project CHARISMA with an exceptional team of individuals and friends from the CMMI-Cyprus Marine Institute and CYENS Center of Excellence. The press release announcement of the kick-off follows: The kick-off meeting of the CHARISMA project (Coordination of Heterogeneous UVs for Maritime Surveillance - [Optical Parts Recognition technology coming to life!](https://www.algolysis.com/optical-parts-recognition-technology-coming-to-life/) - The Smart Parts Detector (SPD) project aims at developing a SHOP4CF component to facilitate optical parts recognition; an essential capability for any Manufacturing SME transitioning their operations into the 4th Industrial Revolution. Crucially, the SPD component leverages Deep Learning (DL) technology for optical identification and detection of small parts, shifting away from classical image processing and computer vision - [Start of the EU Innovation Associate Program](https://www.algolysis.com/start-of-the-eu-innovation-associate-program/) - We are excited to kick-off our new European Innovation Associate Program PREFAIL (957149) on the 28th of February 2021, and welcome Dr. Marko Krstic to the Algolysis team! With the assistance of Dr. Marko Krstic, we will study innovative Machine Learning algorithms to extend our cloud-based storage device monitoring service (DriveNest - www.drivenest.com) with robust - [SmartPartsDetector - Optical Parts Recognition using Deep Learning](https://www.algolysis.com/smartpartsdetector-success-shop4cf-202209/) - We're happy and excited to announce our SmartPartsDetector project is one of the 14 FSTPs to be funded by the SHOP4CF EU project. Algolysis Ltd and ENGINO-NET Limited have teamed up to design and implement SmartPartsDetector, a new component for the SHOP4CF project that enables manufacturing SMEs of small parts to optically identify their parts - [Coronasurveys project among the top 10 teams in the XPRIZE Pandemic Response Challenge](https://www.algolysis.com/coronasurveys-project-among-the-top-10-teams-in-the-xprize-pandemic-response-challenge/) - We are proud to be part of the Coronasurveys Project team and be among the 10 best teams in the XPRIZE Pandemic Response Challenge: https://www.businesswire.com/news/home/20210309005419/en - [Algolysis work featured in HuffPost](https://www.algolysis.com/algolysis-work-featured-in-huffpost/) - HuffPost talks about our collaboration with Marianne Katsoyannou on the greek COVID-19 dictionary: https://www.huffingtonpost.gr/entry/e-chrese-tes-ylossas-sten-epoche-tes-pandemias_gr_6039001fc5b6b745c4b66920?fbclid=IwAR3M7zZ-rQKHQJcfyBVjZfxkH_PyAyXSpDUjdQhrbrgVXkx5XV4tIAar-xs - [We are hiring!](https://www.algolysis.com/we-are-hiring/) - We are seeking an experienced Researcher in Machine Learning (R2/R3) who will lead the development of reinforcement learning methodologies for failure prediction on storage devices monitored by our flagship DriveNest (www.drivenest.com) platform. This is a 12-month, Full-time position with a competitive salary and a relocation package supported through the competitive European SME Innovation Associate programme - [In the News...](https://www.algolysis.com/in-the-news/) - An article in the e-portal Dialogos.com.cy presents and explains the ideas behind the #COVID19 glossary which was created and curated by Assoc. Prof. Marianne Katsoyannou and the Biologist Zoe Stephanidou, while the software was developed by Algolysis. The glossary is hosted at Algolysis's #COVID19 platform covid19.algolysis.com. Click the link for the complete article: https://dialogos.com.cy/to-glossari-tis-pandimias - [In a world "suffering" from #COVID19](https://www.algolysis.com/in-a-world-suffering-by-covid19/) - Our platform is now updated to present the worldwide spread of the #COVID19. New visualisations and statistics are added to provide a better insight of the current status of the spread worldwide. Visit: covid19.algolysis.com - [COVID19 Algolysis Data Platform launched.](https://www.algolysis.com/covid19-algolysis-data-platform-launched/) - We developed a data platform for continuous monitoring and statistics generation on the evolution and spread of #COVID19 #SARsCoV2 across the districts of Cyprus. Help us keep the platform up to date! https://covid19.algolysis.com - [Algolysis in MARI-Sense Kick-Off meeting](https://www.algolysis.com/algolysis-in-mari-sense-kick-off-meeting/) - Proud to present Algolysis Ltd and our current projects to the partners of the MARI-Sense project consortium. MARI-Sense employs smart management, spatial planning, and agile response measures to help preserve the natural environment, securing society, and ensuring economic growth. Its cognitive systems work in synergy with human operators to “make sense” of the maritime environment. - [We are hiring!](https://www.algolysis.com/we-are-hiring-computer-science-researcher/) - We are seeking a motivated Researcher with expertise in Computer Science (or related area) to join our small, but very efficient and hands-on team. Click here for more details on how to apply. - [Algolysis in Paideia-News](https://www.algolysis.com/algolysis-in-paideia-news/) - An article in the e-portal Paideia-News presents and explains the ideas behind the Algolysis hosted project COLLABORATE. Click the link for the complete article: https://tinyurl.com/yy35enep - [3D Motion Search Engine proposal successful!](https://www.algolysis.com/3d-motion-search-engine-proposal-successful/) - We are very pleased to announce that our project proposal Safeguarding the Cultural HEritage of Dance through Augmented Reality (SCHEDAR) to the JPICH Digital Heritage Call supporting transnational research has been one of the 8 successful proposals! The project has commenced in June 2018 and will run for 3 years. Our role in the project - [DriveNest accelerated!](https://www.algolysis.com/drivenest-accelerated/) - Algolysis Ltd. has secured research and innovation funding through the Ministry of Energy, Commerce, Industry and Tourism of Cyprus for furthering the implementation of DriveNest (www.drivenest.com), our predictive storage device monitoring service. We will now be accelerating development, so stay tuned for updates :) ## Pages - [Home](https://www.algolysis.com/) - Algolysis algo ≘ algorithmic + lysis ≘ solutions Expertise Projects Livin' in a Digital World We live, and function with the vision of an efficient, marvelous digital world in total harmony with humanity. Algolysis Ltd. conducts cutting-edge research in the area of Information and Communication Technologies (ICT), specifically in topics related to Distributed Systems, - [Projects](https://www.algolysis.com/projects/) - Ma(R)s Ma(R)S, aims to engage a PhD Student (PhDS) in conducting state-of-the-art research and industrial development in the fundamental and highly relevant area of Strongly Consistent Distributed Shared Memory Systems (DSM)..... Read more ... PRINIA XR - Privacy-Preserving Facial Recognition in Extended Reality PRINIA XR aims to develop a module that implements facial recognition in - [3DMotaaS Project](https://www.algolysis.com/projects/3dmotaas-project/) - Project 3DMotaaS - 3D Motion-as-a-Service Project Number ENTERPRISES/0223/Sub-Call1//0283 Investigator(s) Dr. Efstathios Stavrakis (Coordinator) Dr. Nicolas Nicolaou (Co-Investigator) Funding Research and Innovation Foundation Dec 2023 - Nov 2025 URL https://projects.algolysis.com/3dmotaas Type RESEARCH IN ENTERPRISES Status In progress Summary 3DMotaaS aims to advance proof of concept technology for 3D motion search and retrieval through a strategic collaboration - [EratoVR Project](https://www.algolysis.com/projects/eratovr-project/) - Project ERATOVR Project Number CONCEPT/0618/0064 Investigator(s) Dr. Nicolas Nicolaou (Principal-Investigator & Project-Coordinator) Funding September 2020 - February 2021 URL https://projects.algolysis.com/erato-vr/ Type Research Grant Status Completed Summary The advent of fast highly-available network connectivity in combination with affordable 3D hardware (GPUs, VR/AR HMDs, etc.) has enabled making Networked Virtual Environments (NVEs) possible and available to multiple - [PoultryFI Project](https://www.algolysis.com/projects/poultryfi-project/) - Project PoultryFI Project Number CODEVELOP-ICT-HEALTH/0322/0061 Investigator(s) Dr. Efstathios Stavrakis (Coordinator) Dr. Nicolas Nicolaou (Co-Investigator) Funding Research and Innovation Foundation Feb 2023 - Apr 2025 URL https://projects.algolysis.com/poultryfi/ Type CO-DEVELOP Status In progress Summary PoultryFI aims to advance the proof-of-concept technology for poultry farm monitoring previously developed by Algolysis Ltd (HO) by leveraging the Artificial Intelligence and - [CHARISMA](https://www.algolysis.com/projects/charisma/) - Project CHARISMA Project Number DUAL USE/0922/0048 Investigator(s) Algolysis CMMI CYENS Funding Research and Innovation Foundation Jun 2023 - May 202 URL https://projects.algolysis.com/charisma/ Type DUAL USE Status In progress Summary CHARISMA, aims to devise next-generation Maritime Surveillance technology leveraging on heterogeneous autonomous robotic architectures, including unmanned aerial, sea surface and underwater vehicles. Key to this innovation - [Ma(R)s](https://www.algolysis.com/projects/mars/) - Project Ma(R)s Project Number PHD IN INDUSTRY/1222/0121 Investigator(s) Dr. Andria Trigeorgi (Coordinator) Dr. Nicolas Nicolaou (Industrial Supervisor) Prof. Chryssis Georgiou (PhD Supervisor) Funding Research and Innovation Foundation Oct 2024 - Sept 2025 URL https://projects.algolysis.com/mars/ Type PHD IN INDUSTRY Status In progress Summary Ma(R)S, aims to engage a PhD Student (PhDS) in conducting state-of-the-art research and - [PRINIA Project](https://www.algolysis.com/projects/prinia-project/) - Project PRINIA XR - Privacy-Preserving Facial Recognition in Extended Reality Investigator(s) Dr. Efstathios Stavrakis (Co-Investigator) Dr. Nicolas Nicolaou (Co-Investigator) Funding SERMAS EU Project Jan 2024 - Dec 2024 URL https://prinia.xrproject.eu/ Type Cascade Funding Status In progress Summary PRINIA XR aims to develop a module that implements facial recognition in XR environments while safeguarding the rights to privacy - [SCHEDAR Project](https://www.algolysis.com/projects/schedar-project/) - Project Safeguarding the Cultural Heritage of Dance through Augmented Reality (SCHEDAR) Investigator(s) Dr. Efstathios Stavrakis (Principal Investigator) Dr. Nicolas Nicolaou (Co-Investigator) Funding JPI Cultural Heritage Republic of Cyprus Research Promotion Foundation Jun 2018 - Nov 2021 URL https://www.schedar.eu Type Research Grant Status Completed Summary Abstract Dance is an integral part of any culture. Through its - [MARI-Sense Project](https://www.algolysis.com/projects/mari-sense-project/) - Project MARI-Sense Project Number INTEGRATED/0918/0032 Investigator(s) Leading Partner: University of Nicosia Research Foundation (UNRF) Algolysis PI: Dr. Efstathios Stavrakis Funding Restart 2020 Research and Innovation Fountation (RIF) January 2020 - December 2022 URL http://www.marisense.eu/ Type Research Grant Status Completed Summary MARI-Sense employs smart management, spatial planning, and agile response measures to help preserve the natural - [LightSense Project](https://www.algolysis.com/projects/lightsense-project/) - Project LightSense - Intelligent light sensing for next generation smart grids Project Number INTEGRATED/0918/0031 Investigator(s) Leading Partner: Cyprus University of Technology (CUT) Algolysis PI: Dr. Nicolas Nicolaou Funding Restart 2020 Research and Innovation Fountation (RIF) June 2020 - May 2023 URL https://www.socialcomputing.eu/lightsense/ Type Research Grant Status Completed Summary The project's primary objective is to respond - [Smart Parts Detector Project](https://www.algolysis.com/projects/smartpartsdetector-project/) - ProjectSmart Parts Detector in Manufacturing using Deep LearningAcronymSmartPartsDetector (SPD)Investigator(s)Dr. Efstathios Stavrakis (Co-Investigator)Dr. Nicolas Nicolaou (Co-Investigator)Duration 8 months (Sep 2022 – Apr 2023)FundingSmart Human Oriented Platform for Connected Factories (SHOP4CF EU-funded Project)TypeFinancial Support to Third Parties (FSTP)StatusIn progress Partners ALGOLYSIS LTDENGINO.NET Ltd Summary We are designing and implementing SmartPartsDetector, a new component for the SHOP4CF EU project, that - [KeepA(n)I Project](https://www.algolysis.com/projects/keepani-project/) - Project KeepA(n)I Project Number EXCELLENCE/0421/0360 Investigator(s) Dr. Nicolas Nicolaou (Co-Investigator) Dr. Efstathios Stavrakis (Co-Investigator) Funding Research and Innovation Foundation Apr 2022 – Mar 2024 URL https://faire.cyens.org.cy/projects/keepani Type EXCELLENCE HUBS Status In progress Summary KeepA(n)I (pronounced “Keep an eye and/or Keep AI ”) aspires to play a key role in aiding towards achieving Trustworthy AI, promoting - [About Us](https://www.algolysis.com/about-us/) - Algolysis Ltd is a research, technology and innovation company focusing on tackling real-life problems by devising state-of-the-art algorithmic solutions. Founded in 2014, Algolysis is a recent entrant in Cyprus’ innovation ecosystem and is currently undertaking projects related to fault-tolerant distributed systems, mobile/sensor networks, data acquisition, visualization, and analysis. The company has a diverse research portfolio - [Contact Us](https://www.algolysis.com/contact-us/) - Contact us by using the form below and we will get back to you. Algolysis Contact Details email contact@algolysis.com office 12A Ellados Str. 4630 Erimi, Limassol Cyprus phone / fax +357 2273 1026 - [NGIAtlantic Project](https://www.algolysis.com/projects/ngiatlantic-project/) - Project ARES-NGI Project Number NGIATLANTIC/OC4-347 Investigator(s) Dr. Nicolas Nicolaou (Project Coordinator) Funding NGI Atlantic H2020 Feb 2021 – Aug 2021 URL https://ngiatlantic.eu/funded-experiments Type US Transatlantic collaboration Status In progress Summary Distributed shared storage services (DSS), is the building block to yield complex, decentralized, cloud applications in emerging technologies (e.g., IoT, VR/AR), as they may offer - [COLLABORATE Project](https://www.algolysis.com/projects/collaborate-project/) - Project COLLABORATE Project Number RPF/POST-DOC/0916/0090 Investigator(s) Dr. Nicolas Nicolaou (Principal-Investigator & Project-Coordinator) Dr. Efstathios Stavrakis (Co-Investigator) Funding Restart 2020 Research Promotion Foundation May 2019 – Oct 2021 URL https://projects.algolysis.com/collaborate/ Type Research Grant Status In progress Summary Distributed Storage Systems (DSS) encompass the technology powering modern cloud data storage services such as DropBox and Google Drive - [PREFAIL Project](https://www.algolysis.com/projects/prefail-project/) - Project PREFAIL Project Number 957149 Investigator(s) Dr. Nicolas Nicolaou (Principal-Investigator & Project-Coordinator) Dr. Efstathios Stavrakis (Co-Investigator) Funding INNOSUP-02-2019-2020 H2020 Mar 2021 – Feb 2022 URL Type Innovation Associate Program Status In progress Summary As the Digital Transformation of Europe, and the rest of the world, is rapidly picking up pace, the underlying physical infrastructure is - [Vacancies](https://www.algolysis.com/vacancies/) - [DriveNest Project](https://www.algolysis.com/projects/drivenest-project/) - Project DriveNest Investigator(s) Dr. Efstathios Stavrakis (Principal Investigator) Dr. Nicolas Nicolaou (Co-Investigator) Funding Republic of Cyprus Ministry of Energy, Commerce, Industry and Tourism May 2017 – April 2020 URL https://www.drivenest.com Type Research & Innovation Status Completed Summary Storage devices, such as hard disk and solid state drives, are getting smaller and faster, but are still - [Cookie and Privacy Policy](https://www.algolysis.com/cookie-policy/) - About this cookie policy This Cookie Policy explains what cookies are and how we use them. You should read this policy to understand what cookies are, how we use them, the types of cookies we use i.e, the information we collect using cookies and how that information is used and how to control the cookie - [COVID19 Algolysis Data Platform](https://www.algolysis.com/projects/covid19-platform/) - Project COVID19 Algolysis Data Platform Investigator(s) Algolysis Team Funding Internal URL https://covid19.algolysis.com Type Web Platform Status In progress Summary Abstract During the COVID-19 global pandemic Algolysis Ltd has designed and implemented a data platform to retrieve, crowd-source, store and analyze relevant data. Literally dozens of global websites aggregating and visualising the pandemic’s data have popped - [Expertise](https://www.algolysis.com/expertise/) - Algorithm Design Algolysis has a strong background in algorithm design, testing and implementation across a diverse range of areas in Computer Science, and beyond. Armed with over 15 years of experience in scientific research, our senior algorithms engineers are always on the lookout for new challenges; irrespective of magnitude or difficulty. Algolysis’ engineers are accomplished - [Smart Poultry Project](https://www.algolysis.com/projects/smart-poultry-project/) - Project Smart Poultry Investigator(s) Dr. Nicolas Nicolaou (Principal Investigator) Dr. Efstathios Stavrakis (Co-Investigator) Funding Self-funded May 2018 – to date URL Type Research & Innovation, Prototyping Status In progress Summary The poultry industry is one of the largest agricultural industries worldwide. Due to urbanisation, higher incomes, and a shift to a healthier dietary rich in ## My Templates - [Elementor Loop Item #3084](https://www.algolysis.com/?elementor_library=elementor-loop-item) - Elementor Loop Item #3084 Partners: Jan 1970 - Jan 1970 Funded By: Read More - [Research Projects Archive Template](https://www.algolysis.com/?elementor_library=projects-template) - Ma(R)s Ma(R)S, aims to engage a PhD Student (PhDS) in conducting state-of-the-art research and industrial development in the fundamental and highly... Partners: Oct 2024 - Sep 2025 Funded By: Read More CHARISMA CHARISMA, aims to devise next-generation Maritime Surveillance technology leveraging on heterogeneous autonomous robotic architectures, including unmanned aerial, sea surface and... Partners: Jun 2023 - [Research Areas Archive Template](https://www.algolysis.com/?elementor_library=research-areas-archive-template) - Smart Parts Detector in Manufacturing using Deep Learning We are designing and implementing SmartPartsDetector, a new component for the SHOP4CF EU project, that enables manufacturing SMEs of small... Partners: Sep 2022 - Apr 2023 Funded By: Read More KeepA(n)I: A Methodological Approach for Identifying Social Stereotypes in Artificial Intelligence Applications KeepA(n)I (pronounced “Keep an eye - [Project - Template](https://www.algolysis.com/?elementor_library=project-template-2) - Project Project – Template Investigators Type Research Areas Partners Summary Funding Agencies - [Default Kit](https://www.algolysis.com/?elementor_library=default-kit) ## Job Openings - [Research Engineer (REF: 2dce04f9)](https://www.algolysis.com/position/research-engineer-ref-2dce04f9/) - Algolysis Ltd (www.algolysis.com) is a research, technology, and innovation SME focusing on tackling real-life problems by devising state-of-the-art algorithmic and engineering solutions. An active member of Cyprus’ and EU’s innovation ecosystem, Algolysis is currently looking to expand its team with a Research Engineer to contribute to cutting-edge R&D projects across domains such as data analytics, - [IT Technician (REF: 2dcd04f8)](https://www.algolysis.com/position/it-technician-ref-2dcd04f8/) - Algolysis Ltd is looking to expand its team with a a skilled IT Technician! Algolysis Ltd (www.algolysis.com) is a research and innovation SME focusing on tackling real-life problems by devising state-of-the-art algorithmic and engineering solutions. An active member of Cyprus’ and EU’s innovation ecosystem, Algolysis is currently looking to expand its team with an IT - [Internship Positions](https://www.algolysis.com/position/internship-positions/) - Are you eager to join an energetic team and work on exciting projects during your internship? Do you aspire to collaborate with experienced developers and researchers in the field of Computer Science, all while gaining invaluable training to enhance your skills and knowledge? Algolysis Ltd. is an active member of the vibrant ICT ecosystem of - [Full Stack Developer (REF: 2dd204fe)](https://www.algolysis.com/position/full-stack-developer-ref-2dd204fe/) - Algolysis Ltd is looking to expand its team with a talented Full Stack Developer! Algolysis Ltd (www.algolysis.com) is a research, technology and innovation SME focusing on tackling real-life problems by devising state-of-the-art algorithmic solutions. An active member of Cyprus’ and EU’s innovation ecosystem, Algolysis is currently looking to expand its team with a Full Stack ## Partner Organisations - [CMMI](https://www.algolysis.com/partner-organisation/cmmi/) - [Lumoscribe LTD](https://www.algolysis.com/partner-organisation/lumoscribe-ltd/) - [Resoloupe LTD](https://www.algolysis.com/partner-organisation/resoloupe-ltd/) - [Electricity Authority Cyprus](https://www.algolysis.com/partner-organisation/electricity-authority-cyprus/) - [Cyprus Computer Society](https://www.algolysis.com/partner-organisation/cyprus-computer-society/) - [Cyprus Energy Regulatory Authority](https://www.algolysis.com/partner-organisation/cyprus-energy-regulatory-authority/) - [Frederick Research Centre](https://www.algolysis.com/partner-organisation/frederick-research-centre/) - [Bar Ilan University](https://www.algolysis.com/partner-organisation/bar-ilan-university/) - [University of Nicosia Research Foundation](https://www.algolysis.com/partner-organisation/university-of-nicosia-research-foundation/) - [Limassol Nautical Club](https://www.algolysis.com/partner-organisation/limassol-nautical-club/) - [Cyprus Employers’ and Industrialists’ Federation](https://www.algolysis.com/partner-organisation/cyprus-employers-and-industrialists-federation/) - [Cyprus University of Technology](https://www.algolysis.com/partner-organisation/cyprus-university-of-technology/) - [Cyprus Research and Innovation Center Ltd](https://www.algolysis.com/partner-organisation/cyprus-research-and-innovation-center-ltd/) - [Cyprus Subsea Consulting and Services C.S.C.S. Ltd](https://www.algolysis.com/partner-organisation/cyprus-subsea-consulting-and-services-c-s-c-s-ltd/) - [Laboratory for Underwater Systems and Technologies](https://www.algolysis.com/partner-organisation/laboratory-for-underwater-systems-and-technologies/) - [Ministry of Defence](https://www.algolysis.com/partner-organisation/ministry-of-defence/) - [PHOEBE Reaserch and Innovation](https://www.algolysis.com/partner-organisation/phoebe-reaserch-and-innovation/) - [Open University of Cyprus, Computational Cognition Lab,](https://www.algolysis.com/partner-organisation/open-university-of-cyprus-computational-cognition-lab/) - [T.C. Geomatic](https://www.algolysis.com/partner-organisation/t-c-geomatic/) - [University of Zagreb](https://www.algolysis.com/partner-organisation/university-of-zagreb/) - [KOIOS Research and Innovation Center of Excellence](https://www.algolysis.com/partner-organisation/koios-research-and-innovation-center-of-excellence/) - [University of Reims Champagne-Ardenne (URCA)](https://www.algolysis.com/partner-organisation/university-of-reims-champagne-ardenne-urca/) - [University of Rennes 2](https://www.algolysis.com/partner-organisation/university-of-rennes-2/) - [University of Warwick](https://www.algolysis.com/partner-organisation/university-of-warwick/) - [IMDEA Networks Institute](https://www.algolysis.com/partner-organisation/imdea-networks-institute/) - [University of Cyprus](https://www.algolysis.com/partner-organisation/university-of-cyprus/) - [Algolysis Ltd](https://www.algolysis.com/partner-organisation/algolysis-ltd/) - [CYENS](https://www.algolysis.com/partner-organisation/cyens/) - [Engino](https://www.algolysis.com/partner-organisation/engino/) - [Shop4CF](https://www.algolysis.com/partner-organisation/shop4cf/) ## Research Projects - [Ma(R)s](https://www.algolysis.com/research-project/mars/) - Ma(R)S, aims to engage a PhD Student (PhDS) in conducting state-of-the-art research and industrial development in the fundamental and highly relevant area of Strongly Consistent Distributed Shared Memory Systems (DSM). Supervised by leading researchers in the field, both from academia (University of Cyprus) and industry (Algolysis Ltd), and leveraging on her involvement in the development of a Proof of Concept DSM (under the two partners), the PhDS will work in two fronts: (i) Theory: to advance the knowledge in the field of DSM by exploring efficient, robust, and practical solutions in highly dynamic environments, and (ii) Practice: develop a Memory-as-a-Service (MaaS) platform for facilitating the deployment, management, and usage of DSM for data sharing and for supporting the next-generation of (collaborative) distributed applications. The entire framework will be deployed and validated in a relevant environment (TRL6). Specifically, the platform will be used to deploy DSM algorithms over a set of stationary servers and over a set of less-powerful peer-to- peer devices. https://projects.algolysis.com/mars/ - [CHARISMA](https://www.algolysis.com/research-project/charisma-2/) - CHARISMA, aims to devise next-generation Maritime Surveillance technology leveraging on heterogeneous autonomous robotic architectures, including unmanned aerial, sea surface and underwater vehicles. Key to this innovation is devising both hardware and software that can be attached as an add-on to existing fleets of Unmanned Vehicles (UVs). The addon will enable UVs to collectively form a mesh network for communication at the lower-level, on top of which a Distributed Shared Memory (DSM) service will be deployed. The DSM will act as the connective tissue for decentralised data exchange that will be critical for devising advanced swarming algorithms to conduct Maritime Surveillance. These swarming behaviours will be largely based on data fusion Machine Learning models. To monitor and control these capability-augmented UV swarms, a Maritime Surveillance Digital Twin will also be implemented. By combining the expertise, intellectual property and Proof of Concepts in distributed applications (Algolysis Ltd), maritime research and robotics (CMMI), and digital twins and machine learning (CYENS), we will develop a next generation framework for Maritime Surveillance, that will ensure reliable, robust and dependable data collection, provide a comprehensive digital representation of critical situations for better assessment, and will support decision making and high-level control of UV Swarms by competent operators. The entire framework will be validated and demonstrated in a relevant environment (TRL6). Specifically, the addon device will be deployed over a set of heterogeneous UVs with advanced swarming behaviours capable of specifically monitoring maritime infrastructure (e.g. aquaculture facilities). https://projects.algolysis.com/charisma/ - [MARI-Sense](https://www.algolysis.com/research-project/mari-sense/) - MARI-Sense employs smart management, spatial planning, and agile response measures to help preserve the natural environment, securing society, and ensuring economic growth. Its cognitive systems work in synergy with human operators to "make sense" of the maritime environment - [ARES: A Next-Generation, Erasure Coded, Shared Distributed Storage System](https://www.algolysis.com/research-project/ares-a-next-generation-erasure-coded-shared-distributed-storage-system/) - Distributed shared storage services (DSS), is the building block to yield complex, decentralized, cloud applications in emerging technologies (e.g., IoT, VR/AR), as they may offer a transparent cloud storage space where distributed applications can store, retrieve, and coordinate over shared data.The popularity of distributed shared storage services has increased recently, due to the emergence of powerful mobile devices and the need for immediate and reliable access to user data from multiple devices. In this project, the EU- US team plans to run thorough experimental evaluations on the performance of a novel protocol ARES [1] , which implements an Atomic Distributed Shared Storage (ADSS) space over asynchronous, fail prone, message passing network nodes. Such services usually keep copies of the data in multiple network locations, we refer to as replica hosts or servers , to ensure data availability and survivability. - [Safeguarding the Cultural Heritage of Dance through Augmented Reality](https://www.algolysis.com/research-project/safeguarding-the-cultural-heritage-of-dance-through-augmented-reality-schedar/) - This project's vision is that the widespread availability of cultural content in digitized forms is a critical necessity for the preservation of the continuity of our heritage and identity as Europeans. In such a context, digitization and online availability of digitized cultural content, such as dancing, has always been a top-level priority for cultural preservation. Digital storage and manipulation of intangible forms of cultural assets, such as dance performances, offers a whole new range of opportunities in the educational context by allowing integration of our project outcomes with the large-scale online libraries (such as the EUROPEANA repository; the European digital platform for cultural heritage). This will allow not only potential storage of intangible assets, but it will also enable seamless integration with existing resources into frameworks that will be able to exploit the common knowledge representation schemes and be used to provide unprecedented amounts of digital cultural resources by means of recent and emerging technologies for new and exciting educational purposes. - [Collaborate](https://www.algolysis.com/research-project/collaborate/) - Distributed Storage Systems (DSS) encompass the technology powering modern cloud data storage services such as DropBox and Google Drive that are used by millions of users as networked platforms for collaborative applications and data storage. Algorithms for DSS ensure data availability and survivability by replicating data in geographically dispersed network locations. However, a major problem with data distribution is consistency, especially when the storage is accessed concurrently by multiple processes; a key to enabling collaboration. Numerous strategies have been devised to mitigate these issues, however a robust and efficient solution remains elusive. Collaborate (https://projects.algolysis.com/collaborate/), proposes a novel atomic Distributed Storage System built on top of asynchronous message-passing, failure-prone, commodity devices, and providing tight consistency guarantees when the storage is accessed concurrnelty by different processes. Atomicity enables the most natural consistency guarantee as it provides the illusion of a centralised sequentially accessed storage. To enhance the practicality of our atomic DSS, Collaborate will develop and combine the following services: (i) Fragmentation, (ii) Reconfiguration, and (iii) Failure Prediction. - [Utilizing Efficient Reads for ATomic Objects in 3D Networked Virtual Environments](https://www.algolysis.com/research-project/erato-vr/) - The advent of fast highly-available network connectivity in combination with affordable 3D hardware (GPUs, VR/AR HMDs, etc.) has enabled making Networked Virtual Environments (NVEs) possible and available to multiple simultaneous end-users beyond the confines of expensive purpose-built 3D facilities and laboratories. However, the algorithms making possible the NVEs of today are already reaching their limits, proving unreliable, suffer asynchronies and deployed over an inherently fault-prone network infrastructure. Thus, new scalable, robust, and responsive strategies that build on top of unreliable, asynchronous, and fault-prone network infrastructure, must be devised in order to support the needs of the NVEs of the future. Current developments of distributed architectures handle concurrency by either providing weak consistency guarantees (e.g. eventual consistency), or by relying on the bounded life span of inconsistent states. However, recent scientific works are shifting the viewpoint around the practicality of strongly consistent distributed storage spaces by proposing latency-efficient algorithms of atomic read/write Distributed Shared Memory (DSM) with provable consistency guarantees. Our approach is to combine a DSM implementation of ERATO with a hybrid approach leveraging the simplicity of the client-server architecture. This, allows us to take the best features of the Multi-Server architecture and combine them with a low-level Distributed Shared Memory algorithm offering (A) ease of integration with existing VEs and implementation of new ones, since the DSM promises to take care of synchronization and consistency across servers, without application-specific interventions at client nodes and no special hand-off mechanisms between servers for users joining and leaving; and (B) reduced system complexity, and in turn faster development time and lower deployment and maintenance costs. - [KeepA(n)I: A Methodological Approach for Identifying Social Stereotypes in Artificial Intelligence Applications](https://www.algolysis.com/research-project/keepani-a-methodological-approach-for-identifying-social-stereotypes-in-artificial-intelligence-applications/) - KeepA(n)I (pronounced “Keep an eye and/or Keep AI ”) aspires to play a key role in aiding towards achieving Trustworthy AI, promoting a novel solution that will lay the groundwork for detecting bias in AI applications. The project considers high-risk applications of AI and aims at creating an active approach in detecting social stereotypes in the input and output of the AI application, as to inform the developer of the social behavior of the developed application. Consortium partners will perform state-of-the-art research, positioning them at the forefront of the area of FAIR / Trustworthy AI, and addressing the challenges brought about by the “democratization of AI” within Europe. - [Smart Parts Detector in Manufacturing using Deep Learning](https://www.algolysis.com/research-project/smart-parts-detector-in-manufacturing-using-deep-learning/) - We are designing and implementing SmartPartsDetector, a new component for the SHOP4CF EU project, that enables manufacturing SMEs of small parts to optically identify their parts by leveraging state-of-the-art convolutional neural networks (CNN). This fundamental capability can then be used to assist and empower humans by devising a wide range of digital tools, e.g. production quality control software, staff training applications, etc. - [PREFAIL](https://www.algolysis.com/research-project/prefail/) - As the Digital Transformation of Europe, and the rest of the world, is rapidly picking up pace, the underlying physical infrastructure is similarly expanding to keep up with demand generated by over 2 billion connected computers and more than 30 billion smartphones, wearables and IoT devices. Nevertheless, Internet applications and services remain prone to inevitable hardware failures, that lead to data losses and increased maintenance costs. The primary problem lies with the cost of implementing data redundancy by constantly adding expensive hardware to cater to the needs of traditional data replication approaches (e.g. by always keeping copies of a file on multiple servers). With the assistance of an Innovation Associate specializing in Machine Learning, Algolysis Ltd aspires to extend its cloud-based storage device monitoring service (DriveNest - www.drivenest.com) with a robust state-of-the-art failure prediction engine. Reliably identifying soon-to-fail storage devices can be a transformative capability across the ICT sector, as a range of proactive data management and mitigation services can be built on top. - [DriveNest](https://www.algolysis.com/research-project/drivenest/) - Storage devices, such as hard disk and solid state drives, are getting smaller and faster, but are still prone to faults, often resulting in data loss and costly downtime of important technical infrastructure. Despite recent technological advances in hardware design and manufacturing, it is still unclear what the exact causes of those failures are and how to detect an imminent failure; enabling proactive mitigation, such as data replication and backup. Moreover, the storage retail market is flooded with devices of dubious quality, and often times performance and robustness specifications are exaggerated by their manufacturers, hindering the ability of the end-users to make an informed choice of storage devices. DriveNest (www.drivenest.com) is a crowd-monitoring platform of storage devices which are distributed anywhere around the globe. The objective is to collect reliability indicators from devices deployed 'in-the-wild' (not in controlled data center environments), and provide users with statistics and failure forecasting based on predictive analytics. Statistics across a global population of storage devices will enable end-users to purchase storage devices based on hard data, while failure prediction will assist end-users, system administrators, and backup software designers to proactively act upon imminent hardware failures. The project is under constant development and thus constructive feedback is important to us - [LightSense - Intelligent light sensing for next generation smart grids](https://www.algolysis.com/research-project/lightsense-intelligent-light-sensing-for-next-generation-smart-grids/) - The project's primary objective is to respond in a holistic way to the energy efficiency, continuity, and security needs of power distribution networks within Cyprus, regarding timely fault prevention and intrusion detection. The extensive goals are to: Exploit the optical sensing capabilities of the existing optical fiber, on-grid network, to enable the remote and automated, continuous, and timely monitoring of the grid infrastructure integrity of the principal energy supplier within Cyprus; Extract critical information, such as the locations of transmission inefficiencies, such as hot-spots, and provide predictive information regarding the emergence and location of possible faults, in order to ensure reliability and continuity of supply; Address the lack of informed policy with regard to issues of security and reliability in the context of actively monitoring future smart grids at the operations level, in real-time; Monitor unmanned or unsupervised critical infrastructure to prevent unauthorised interference and access. - [Smart Poultry](https://www.algolysis.com/research-project/smart-poultry/) - The poultry industry is one of the largest agricultural industries worldwide. Due to urbanisation, higher incomes, and a shift to a healthier dietary rich in proteins, demand for poultry meat has been rapidly rising according to the OECD. While the poultry industry provides food and a livelihood for billions of people, it also has significant environmental and health consequences. It is therefore imperative that the quantity and quality of poultry food products (i.e. meat and eggs) increase, while animal welfare and environmental protection are promoted and improved. Algolysis is developing a low-cost, integrated software and hardware ecosystem to monitor and analyze the operational conditions of poultry farms. Through a highly synergistic system, composed of sensors, monitoring devices, data acquisition, and data analytics backoffice, we aim to offer invaluable tools and intelligence to farmers and authorities. In turn, they will be able to implement ideal conditions for the animals and optimize their production. The Smart Poultry project includes the development of a remotely accessible internet platform and custom-built sensing hardware, designed to be easily deployable in poultry farms. ## Categories - [news](https://www.algolysis.com/category/news/) - Company news and updates. - [dissemination](https://www.algolysis.com/category/dissemination/) - [Projects](https://www.algolysis.com/category/project/) - [Distributed Systems](https://www.algolysis.com/category/project/distributed-systems/) - [CHARISMA](https://www.algolysis.com/category/news/charisma/) ## Tags - [recruiting](https://www.algolysis.com/tag/recruiting/) - [hiring](https://www.algolysis.com/tag/hiring/) - [job](https://www.algolysis.com/tag/job/) - [vacancy](https://www.algolysis.com/tag/vacancy/) - [presentation](https://www.algolysis.com/tag/presentation/) - [dissemination](https://www.algolysis.com/tag/dissemination/) - [project meeting](https://www.algolysis.com/tag/project-meeting/) - [SHOP4CF](https://www.algolysis.com/tag/shop4cf/) - [Deep Learning](https://www.algolysis.com/tag/deep-learning/) - [AI](https://www.algolysis.com/tag/ai/) - [project](https://www.algolysis.com/tag/project/) - [manufacturing](https://www.algolysis.com/tag/manufacturing/) - [Industry 4.0](https://www.algolysis.com/tag/industry-4-0/) - [DSM](https://www.algolysis.com/tag/dsm/) - [Distributed Computing](https://www.algolysis.com/tag/distributed-computing/) - [Web Platforms](https://www.algolysis.com/tag/web-platforms/) ## Job Category - [research](https://www.algolysis.com/job-category/research/) - [development](https://www.algolysis.com/job-category/development/) - [internship](https://www.algolysis.com/job-category/internship/) - [training](https://www.algolysis.com/job-category/training/) ## Job Type - [Full Time](https://www.algolysis.com/job-type/full-time/) - [Hybrid](https://www.algolysis.com/job-type/hybrid/) - [On Site](https://www.algolysis.com/job-type/on-site/) - [Internship](https://www.algolysis.com/job-type/internship/) ## Job Location - [Nicosia](https://www.algolysis.com/job-location/nicosia/) - [Limassol](https://www.algolysis.com/job-location/limassol/) ## Project Funding Agencies - [Research and Innovation Foundation](https://www.algolysis.com/project-funding-agency/rif/) - [Horizon Europe](https://www.algolysis.com/project-funding-agency/horizon-europe/) - [Smart Human Oriented Platform for Connected Factories](https://www.algolysis.com/project-funding-agency/h2020/shop4cf/) - [Horizon 2020](https://www.algolysis.com/project-funding-agency/h2020/) - [Self-funded](https://www.algolysis.com/project-funding-agency/self-funded/) - [Republic of Cyprus](https://www.algolysis.com/project-funding-agency/republic-of-cyprus/) - [Research Promotion Foundation](https://www.algolysis.com/project-funding-agency/research-promotion-foundation/) - [Διαρθωτικά Ταμεία της Ευροπαικής Ένωσης στην Κύπρο](https://www.algolysis.com/project-funding-agency/διαρθωτικά-ταμεία-της-ευροπαικής-ένω/) - [JPI Cultural Heritage](https://www.algolysis.com/project-funding-agency/jpi-cultural-heritage/) - [RESTART](https://www.algolysis.com/project-funding-agency/restart/) - [UHRC(UK FUNDING AGENCY)](https://www.algolysis.com/project-funding-agency/uhrcuk-funding-agency/) - [ANR (Agence nationale de la recherche)](https://www.algolysis.com/project-funding-agency/anr-agence-nationale-de-la-recherche/) ## Project Partners - [CYENS](https://www.algolysis.com/project-partner/cyens/) - [ALGOLYSIS](https://www.algolysis.com/project-partner/algolysis/) ## Project Types - [Financial Support to Third Parties (FSTP)](https://www.algolysis.com/project-type/financial-support-to-third-parties-fstp/) - [EXCELLENCE HUBS](https://www.algolysis.com/project-type/excellence-hubs/) - [US Transatlantic collaboration](https://www.algolysis.com/project-type/us-transatlantic-collaboration/) - [Innovation Associate Program](https://www.algolysis.com/project-type/innovation-associate-program/) - [Research Grant](https://www.algolysis.com/project-type/research-grant/) - [Research & Innovation](https://www.algolysis.com/project-type/research-innovation/) - [Prototyping](https://www.algolysis.com/project-type/prototyping/) ## Research Areas - [Distributed Systems](https://www.algolysis.com/research-area/ds/) - Investigating the interaction of multiple devices coordinating for the accomplishment of a common task, and design, analyse and develop efficient distributed algorithms. One of the main focuses of the company is the generation of a strongly consistent distributed shared memory service that may be used by developers to yield efficient distributed applications. - [Artificial Intelligence](https://www.algolysis.com/research-area/ai/) - [Distributed Storage Systems](https://www.algolysis.com/research-area/ds/distributed-storage-systems/) - [Internet_of_Things](https://www.algolysis.com/research-area/iot/) - Smartness is a trending concept in our age. Starting from smart-devices, e.g. phones, watches and home appliances, we move to smart-buildings and more recently to smart cities. All have a common driver: small sensing devices that are connected to the internet forming the Internet of Things (I.o.T). In Algolysis we do participate in research regarding the use of I.o.T in different domains (e.g., maritime, agrifood) and we try to tackle various problems like efficient data collection/analysis/visualisation, hardware integration, and system security. - [Computer Graphics](https://www.algolysis.com/research-area/computer-graphics/) - With the advent of AR/VR applications and the popularity of realistic computer games, the area of Computer graphics hinders many challenges. In Algolysis we investigate efficient algorithms for various problems in Computer Graphics including real time 3D graphics rendering , distributed game engines, collaborative networked environments etc. - [Computer Vision](https://www.algolysis.com/research-area/computer-graphics/computer-vision/) - [Motion Capture](https://www.algolysis.com/research-area/computer-graphics/motion-capture/) - There is a huge industry behind the generation, authoring and utilisation of motion capture data including multimillion film production companies. Such data are complex and often include multiple uncertainties (placement of hands/fingers, unexpected body part movements etc.). In Algolysis we do explore challenges in this area, with one of our main focus to develop algorithms for efficient manipulation and searching in motion capture data. ~~~ ## llms-full Not found.