The PhD dissertation of Dimosthenis Tsouros received an honorary mention by the Association for Constraint Programming (ACP) as one of the best dissertations in the area of Constraint Programming in the past two years.
The present project aims to design and develop an innovative wearable device for theprevention, diagnosis and treatment of diabetes mellitus which will make use of novicegraphene structures. The implementation of this task will rely on three individual actions andmore specifically:A) The development of a very sensitive glucose bio-sensor based on graphene. Graphenelayers will be deposited layer-by-layer on a substrate (patch) with a cutting-edgetechnology Langmuir Blogget based on which chemical compounds which cansense/trace glucose will be immobilized to each graphene layer. This substrate will be asticker patch which will constantly count the glucose levels from sweat and consequentlywill be a non-invasive diagnostic method.B) The development of a release system for hypoglycemic treatment. Specific SGLT-2inhibitors and GLP-1 analogues, that are commonly used for the treatment of T2DM, willbe encapsulated into a nanoemulsion. The nanoemulsion that poses lipophilic propertieswill be then incorporated into a gelatine patch.C) Development of α device/software which, through a Bluetooth technology, will receiveelectrical signs from the bio-sensor, will analyze changes on the glucose levels fromsweat and trigger the release of the nanoemulsion from the patch via thermal heating.The final product (Actions A, B and C) will be a product of a smart expertise in the areaof biomedicine and pharmacy which deploy the tremendous development ofbiotechnology, computer science and material engineering in the last decade. Theimplementation of this project is expected to contribute not only scientifically andeconomically to the participating departments as well as the company and the country,but mainly will contribute to the management of diabetes mellitus and the improvementof the quality of life of the diabetic patientsThe suggested effort of research is fully in line with the Research and Innovation Strategy forSmart Specialization (RIS3) which aims to the development of new products for the prevention,diagnosis and treatment of diseases. Website: https://demigod.ece.uowm.gr/en/
Title: «Distributed neural network training via independent subnets»Wednesday, 2 March 2022, 12:00 – 13:30Auditorium, Department of Electrical and Computer Engineering, Karamanli & Lygeris Str Abstract: Distributed machine learning (ML) can bring more computational resources to bear than single-machine learning, thus enabling reductions in training time. Distributed learning partitions models and data over many machines, allowing model and dataset sizes beyond the available compute power and memory of a single machine. In practice though, distributed ML is challenging when distribution is mandatory, rather than chosen by the practitioner. In such scenarios, data could unavoidably be separated among workers due to limited memory capacity per worker or even because of data privacy issues. There, existing distributed methods will utterly fail due to dominant transfer costs across workers, or do not even apply. We propose a new approach to distributed fully connected neural network learning, called independent subnet training (IST), to handle these cases. In IST, the original network is decomposed into a set of narrow subnetworks with the same depth. These subnetworks are then trained locally before parameters are exchanged to produce new subnets and the training cycle repeats. Such a naturally “model parallel” approach limits memory usage by storing only a portion of network parameters on each device. Additionally, no requirements exist for sharing data between workers (i.e., subnet training is local and independent) and communication volume and frequency are reduced by decomposing the original network into independent subnets. These properties of IST can cope with issues due to distributed data, slow interconnects, or limited device memory, making IST a suitable approach for cases of mandatory distribution. This talk will provide results on MLPs, ResNets, CNNs, efficient pretraining tasks, GCNs as well as some theoretical guarantees. Biography: Mr Anastasios Kyrillidis is an Assistant Professor at the Computer Science department at Rice University. Prior to that, he was a Goldstine PostDoctoral Fellow at IBM T. J. Watson Research Center (NY), and a Simons Foundation PostDoc member at the University of Texas at Austin. He finished his PhD at the CS Department of EPFL (Switzerland). Anastasios Kyrillidis got his M.Sc. and Diploma from Electronic and Computer Engineering Dept. at Technical University of Crete (Chania). His research interests include (but not limited to): Files: invited_speaker___anastasios_kyrillidis.pdf
Second edition of the BERLIN Newsletter Files: berlin_newsletter_nov_[en].pdf berlin_newsletter_nov20_[gr].pdf berlin.png
The FOSS Research Centre for Sustainable Energy of the University of Cyprus (UCY), announces two (2) full-time or part-time Special Scientist positions. Files: 2020___foss2020ss_11_phd__eng.pdf 2020___foss2020ss_12_phd_holder_eng.pdf
Kariera’s Hiring Solutions team is looking for a Field Service Engineer on behalf of a client-company, world-leading provider of sustainable productivity solutions. As a Field Service Engineer, you will be the customer’s first point of contact and an ambassador for the company’s brand. Technical expertise, excellent communication skills, responsiveness to customer demands, computer literacy and accurate service record keeping are important attributes for this position. Your main responsibility will be to perform routine service, fix breakdowns, identify faults, and perform major overhauls on our customer’s air compressors. The role will involve travelling to customer sites mainly within Epirus, Macedonia and Thrace region. In few cases, travels can take for several days in a row. Περισσότερες πληροφορίες καθώς και την αίτηση προς συμπλήρωση θα βρείτε ΕΔΩ (σύνδεσμος)
1. Test Engineer Manager 2. Senior Automation Test Engineer 3. Test Engineers 4. Cyber Security Junior Consultants 5. IT Audit Junior Consultant 6. IT Audit Senior Consultant 7. Data Analytics Assistant @ Thessaloniki
Position summary The Cyber Security Team focusing on Identity & Access Management designs and implements business-friendly Identity & Access Management control frameworks that consistently enforce identity and access policy across business processes and hybrid IT infrastructure. Quite simply, we deliver secure access control that dovetails with existing and new applications. REQUIREMENTS -Academic background (BSc/MSc) related to Information Technology, Computer and Data Science, Business Informatics, Engineering. We also welcome graduates with a business background, who have major in Information Systems Management or any other IT related major.-Excellent command of Greek and English language-Knowledge of Italian and/or German language will be considered a plus-Strong interest in Security themes and data analysis-Good knowledge of programming languages (e.g. C, C#, Java, etc.)–Analytic mindset-Willing to travel for short or medium-term periods-Good interpersonal and communication skills-Aptitude to team working -Client Orientation For the Application form and more information HERE
Project name: Cost-effective rehabilitation of public buildings into smart and resilient nano-grids using storage Project acronym: BERLIN Project partners: University of Cyprus (Project Coordinator, Cyprus), The University of Western Macedonia (Greece), The Municipality of Eilat (Israel), University of Cagliari (Italy), Ben Gurion University (Israel), Deloitte Limited (Cyprus), Hevel Eilot Regional Council (Israel) Associate partners: Municipality of Kozani (Greece), Regione Autonoma della Sardegna (Italy), Municipality of Ussaramanna (Italy) Project duration: 36 months Funding agency: ENI CBC MED Project funding amount: 2,868,267.46 € UOWM funding amount: 370,584.14 € Project Objectives: BERLIN aims to implement cross-border pilot measures to support innovative & cost-effective energy rehabilitations in public buildings based on the nanogrid concept, the building block for smart microgrids. The motivation is multi-fold: a) to address high energy consumption in building sector that is primarily fossil-fuel based, b) to support areas of weak grids, common in MENA region & rural areas, as high energy consumption in buildings can compromise electric service reliability, c) to achieve higher grid penetration of RES whilst ensuring grid stability and power quality.To this end BERLIN will focus on increasing PV grid penetration, combined with storage (ESS) and demand side management (DSM), along with enhancement of energy efficiency in buildings. Utilizing these 3 technologies in a cost-effective way, the goal is to reach high levels of self-resilience in public buildings, and to make them green(er), smart, innovative & sustainable. BERLIN will implement 8 pilots, with an initial screening already made at proposal stage. The pilots include installation of new PV capacity, ESS & automation (smart plugs, EMS). Essentially, we aim to optimally integrate PV/ESS/DSM in an innovative way and transform each pilot into a self-sufficient nanogrid, as an energy rehabilitation solution in a range of climatic zones. To aid in that, BERLIN will develop 2 tools, targeting optimal design/operation of the solution and policy makers BERLIN foresees the creation of a special IUPVMED hub for related stakeholders to push forward the local consumption of PV energy. It will develop 8 case studies for each pilot highlighting good practices and lessons learnt, a joint case study focusing on replication, along with 4 formal procedures detailing steps to reach higher resilience based on cost-benefit analyses. Finally, through delivery of short trainings and hub’s actions, BERLIN will pursue official approval of strategies advancing utilization of PV+ESS+DSM by 5 public authorities. Website:https://www.enicbcmed.eu/projects/berlin Files: berlin_6th_newsletter_v1.pdf 0berlin.png
For more information and application form visit the page here
