BrainMap

Mrs. Adina Magda Florea

Ph.D. Professor

Professor - UNIVERSITATEA NAŢIONALĂ DE ŞTIINŢĂ ŞI TEHNOLOGIE POLITEHNICA BUCUREŞTI

Researcher | Teaching staff | PhD supervisor

Web of Science ResearcherID: AAM-2058-2020

Curriculum Vitae (28/04/2020)

Expertise & keywords

ENFIELD: European Lighthouse to Manifest Trustworthy and Green AI Call name: EC - Horizon Europe
Horizon-255642-101120657 2023 - 2026

Role in this project: Partner team leader

Coordinating institution: Institution

Project partners: THE UNIVERSITY OF NOTTINGHAM (GB); NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU (NO); FONDATION EUROPEENNE DE LA SCIENCE (FR); BUDAPESTI MUSZAKI ES GAZDASAGTUDOMANYI EGYETEM (HU); SINTEF AS (NO); BOEING AEROSPACE SPAIN (ES); UNIVERSIDAD COMPLUTENSE DE MADRID (ES); INSTITUT MINES-TELECOM (FR); CNET CENTRE FOR NEW ENERGY TECHNOLOGIES SA (PT); MAGGIOLI SPA (IT); NORSK REGNESENTRAL (NO); TECHNISCHE UNIVERSITAET CHEMNITZ (DE); ISKRAEMECO, MERJENJE IN UPRAVLJANJEENERGIJE, D.D. (SI); ERATOSTHENES CENTRE OF EXCELLENCE (CY); LUSIADAS ACE (PT); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); POLITECNICO DI MILANO (IT); ARATOS SYSTEMS BV (NL); PREDICT SAS (FR); INOVA+ - INNOVATION SERVICES, SA (PT); ENGINEERING - INGEGNERIA INFORMATICA SPA (IT); TECHNISCHE UNIVERSITEIT EINDHOVEN (NL); EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON (GR); TALLINNA TEHNIKAÜLIKOOL (EE); KNOW CENTER RESEARCH GMBH (AT); CHALMERS TEKNISKA HOGSKOLA AB (SE); TELENOR ASA (NO); TEKNOLOGIAN TUTKIMUSKESKUS VTT OY (FI); INESC TEC - INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIENCIA (PT); TEKNOLOGISK INSTITUT (DK); NEW CO TECHNOLOGIKI ANONYMI ETAIREIA (GR)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e50a017756&appId=PPGMS

Abstract:

DigitalUPB: Întărirea capacității digitale a UPB pentru creșterea excelenței în educație, cercetare și inovare. PNRR/2022/C15/MEDU/I16./ Componeneta 15 Educatie, Granturi pentru digitalizarea universitatilor. Finantat de Uniunea Europeana – Urmatoarea Generatie UE. 2022-2025 Call name:
2022 - 2025

Role in this project: Project coordinator

Coordinating institution: UNIVERSITATEA NAȚIONALĂ DE ȘTIINȚĂ ȘI TEHNOLOGIE POLITEHNICA BUCUREȘTI

Project partners: UNIVERSITATEA NAȚIONALĂ DE ȘTIINȚĂ ȘI TEHNOLOGIE POLITEHNICA BUCUREȘTI ()

Affiliation: UNIVERSITATEA NAȚIONALĂ DE ȘTIINȚĂ ȘI TEHNOLOGIE POLITEHNICA BUCUREȘTI ()

Project website:

Abstract:

The Virtual Patient – An AI-based System for Training in Cardiovascular Diseases Diagnostic and Treatment Call name: P 2 - SP 2.1 - Proiect experimental - demonstrativ
PN-III-P2-2.1-PED-2021-2511 2022 - 2024

Role in this project:

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA NAŢIONALĂ DE ŞTIINŢĂ ŞI TEHNOLOGIE POLITEHNICA BUCUREŞTI (RO); UNIVERSITATEA DE MEDICINA SI FARMACIE "CAROL DAVILA" (RO)

Affiliation:

Project website: https://aimas.cs.pub.ro/virtual-patient/

Abstract:

Virtual patients are capable of portraying patients in realistic clinical scenarios and engage learners in doctor-patient conversations about the patient health status, interpret laboratory results and medical images, and form a diagnostic. Currently, because of the conditions created by the COVID-19 pandemic, medical students’ interaction with patients is limited, restricted and even, in some situations, impossible, therefore virtual patient environments become even more a safe and practical solution to medical skills training and practicing, including blended learning. With the current advances of artificial intelligence, virtual patients can be empowered with advanced features, such as the integration of various types of conversational agents or support for automatic prediction of patient evolution.

In this context, the main objective of the VIRTUAL PATIENT project is to develop a virtual environment to simulate interactions between the learner (medical student or doctor/resident) and a clinical virtual patient for diagnostic and treatment of acute and chronic cardiac diseases. The virtual environment, supported by a software platform and artificial intelligence technologies, simulates real-life clinical scenarios in which the learner emulates the role of the doctor conducting an examination of the virtual patient and obtains a history, conducts an anamnesis, a physical exam, paraclinical investigations, founds a diagnostic and recommends therapeutic plans.

Starting from our current existing framework, the challenges of the present project are to achieve advances in virtual patients’ technology by developing an integrated flexible environment for cardiological training that incorporates advanced artificial intelligence techniques, in particular simple and complex cases’ diagnosis and treatment plan, a conversational agent with natural language and speech processing capabilities, and synthetic data generation based on deep neural networks.

Context-Aware Search and Discovery in Hypermedia-Driven Multi-Agent Environments Call name: P 1 - SP 1.1 - Proiecte de cercetare Postdoctorală - PD-2021
PN-III-P1-1.1-PD-2021-0756 2022 - 2024

Role in this project:

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA NAŢIONALĂ DE ŞTIINŢĂ ŞI TEHNOLOGIE POLITEHNICA BUCUREŞTI (RO)

Affiliation:

Project website: https://sites.google.com/view/cashmere-project/home

Abstract:

In Hypermedia driven Multi-Agent Systems (HyperAgents) the web and its architecture act like a global environment in which different types of agents (whether human or software) perform interactions and compose the functionality of web-enabled things to achieve their goals.

The main objective of the project is the development of a web-based framework facilitating context-aware search and discovery of web-enabled things in hypermedia driven environments. The requirement is to facilitate the detection and understanding of shared context between a producer and a consumer to enable corresponding discovery of and access to relevant web resources to agents operating in the web environment. Specific objectives are: (i) development of a web-based platform that can expressively model relevant context information of web things and enable a semantic-query and complex-event processing based mechanism to define and detect situations of shared context between web things and agents; (ii) development of web-based APIs that take the detection of a shared context as input and are able to facilitate the creation of authorization elements that integrate into existing access control and search technologies for web things.

Bridging the Early Diagnosis and Treatment Gap of Brain Diseases via Smart, Connected, Proactive and Evidence-based Technological Interventions Call name: P 3 - SP 3.6 - Premierea participării în Orizont 2020
PN-III-P3-3.6-H2020-2020-0186 2021 - 2023

Role in this project:

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA NAŢIONALĂ DE ŞTIINŢĂ ŞI TEHNOLOGIE POLITEHNICA BUCUREŞTI (RO)

Affiliation:

Project website: https://aimas.cs.pub.ro/alameda/

Abstract:

Our vision in ALAMEDA is to research and prototype the next generation of personalized AI healthcare support systems, aiming at addressing the needs of people with brain diseases and disorders, specifically focusing on the needs of patients’ rehabilitation treatments. ALAMEDA innovations are anchored at the integration of lifestyle retrospective data as well as new streams of patient monitoring data, via new methods during every-day activities, including sleep behaviour, deploying advanced data analytics and AI recommendation services. We focus on three particular diseases stroke, Parkinson and multiple sclerosis.

Bridging the Early Diagnosis and Treatment Gap of Brain Diseases via Smart, Connected, Proactive and Evidence-based Technological Interventions Call name: EC - H2020
H2020-232572-101017558 2021 - 2023

Role in this project: Partner team leader

Coordinating institution: INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS

Project partners: INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS (EL); FONDAZIONE ITALIANA SCLEROSI MULTIPLA FISM ONLUS (IT); EDEX - EDUCATIONAL EXCELLENCE CORPORATION LIMITED (CY); UNISYSTEMS LUXEMBOURG SARL (LU); PLURIBUS ONE SRL (IT); ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS (EL); ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON (EL); CATALINK LIMITED (CY); SPITALUL UNIVERSITAR DE URGENTA BUCURESTI (RO); EY ADVISORY SPA (IT); WISE ANGLE CONSULTING SL (ES); WELLICS LTD (UK); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); ENORA INNOVATION ETAIREIA PSIFIAKON TEXNOLOGION KAI ERGON KAINOTOMIAS IDIOTIKI KEFALAIOUXIKI ETAIREIA (EL); NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU (NO); UNI SYSTEMS SYSTIMATA PLIROFORIKIS MONOPROSOPI ANONYMI EMPORIKI ETAIRIA (GR)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website:

Abstract:

People detection and tracking for social robots and autonomous cars Call name: P 2 - SP 2.1 - Proiect experimental - demonstrativ
PN-III-P2-2.1-PED-2019-4995 2020 - 2022

Role in this project: Project coordinator

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: https://aimas.cs.pub.ro/petra

Abstract:

Detecting, tracking, and recognizing people is a valuable capability for machines. However, these tasks are quite difficult to be achieved autonomously and, although significant results have been obtained, they are still a major technological challenge. People tracking, unlike other recognition and interpretation tasks, is difficult both from the point of view of the recognition and prediction of trajectory, and from the one of the identification of the ground truth.

The main objective of the PETRA project is the development of a software platform enabling the development of applications requiring people detection and tracking in real environments. The design and implementation of the platform and the set of supported algorithms for people detection and tracking will be such that they can be easily used and integrated in tasks performed by social robots in closed spaces, and also in tasks in open spaces, such as is the case for pedestrian detection and tracking. The scientific and technological challenge of the project is to start from our current developments on people detection and tracking in the contexts of user-robot interaction and autonomous driving, and develop and implement novel solutions based on deep learning approaches. Especially for people tracking, this is a significant challenge, less explored in the current state-of-the art, and aiming at improving results performances.

One of the main focuses of the project is to extensively test the implementations towards several difficult benchmarks, but also on our own data sets, and strive to achieve results better than current state-of-the-art.

ARTIFICIAL INTELLIGENCE UPGRADE FOR THE GENERIC DATA REDUCTION FRAMEWORK FOR SPACE SURVEILLANCE Call name: P 2 - SP 2.1 - Proiect de transfer la operatorul economic
PN-III-P2-2.1-PTE-2019-0554 2020 - 2022

Role in this project: Partner team leader

Coordinating institution: GMV INNOVATING SOLUTIONS S.R.L.

Project partners: GMV INNOVATING SOLUTIONS S.R.L. (RO); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); INSTITUTUL ASTRONOMIC (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: https://ai4gendared.ro:49339/

Abstract:

Space Surveillance and Tracking (SST) requires the development of observational campaigns to early identify Earth orbiting objects, estimate their orbital elements and monitor the evolution of their trajectories.

With a growing number of satellites being launched every year, there is an increasing interest in SST at worldwide level and especially across the EU. In this context, Romania is one of the few EU member states involved in such activities.

SST systems must implement an Image Data Reduction Subsystem, able to timely process the continuous exposures taken in an automatic and continuous way by optical telescopes, analyse these data sets to identify objects of interest (target objects) and retrieve accurate measurements of the apparent position and brightness of the detected objects. In the last step, the tool generates tracklet information for the identified target objects.

This proposal’s main goal is to upgrade GMV’s existing proprietary solution for an SST data reduction framework (GENDARED) with artificial intelligence algorithms for image processing, considered mature enough to be adapted to optical telescope imagery.

The consortium is led by GMV and perfectly complemented by the Faculty of Automatic Control and Computer Science, with a vast experience in machine learning and artificial intelligence algorithms for image processing, and by the Astronomical Institute of the Romanian Academy, as owner of SST telescopes, data provider and one of the tool’s possible end-users.

By integrating artificial intelligence techniques into the current GENDARED framework, we expect to improve its performance, reduce user involvement and computational costs, as well as increase pipeline autonomy.

The upgraded solution will be tested and validated in representative scenarios based on real telescope data, with the ultimate goal of converting the prototype into a product that will be validated in an SST operational environment.

Integrated Solution for Innovative Elderly Care Call name: P 3 - SP 3.5 - Programul "Active and Assisted Living"
AAL-2017-059-INCARE 2018 - 2021

Role in this project: Key expert

Coordinating institution: CENTRUL IT PENTRU STIINTA SI TEHNOLOGIE S.R.L.

Project partners: CENTRUL IT PENTRU STIINTA SI TEHNOLOGIE S.R.L. (RO); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); ECLEXYS SAGL (CH); IZRIIS Institute for research, intergenerational relations, gerontology and ICT (SI); Warsaw University of Technology (PL); The Unit for Social Innovation and Research „Shipyard“ (PL); Bay Zoltán Nonprofit Ltd. for Applied Research (HU); Softic Ltd (HU)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: http://www.citst.ro/projects/incare

Abstract:

The “Integrated Solution for Innovative Elderly Care” – INCARE project builds upon two successful platforms (AAL-NITICS and FP7-RAPP) a new readily available product whose seamless operability and modularity are demonstrated in extensive end-user pilots that help its fast uptake by the market. We start from previously validated user insights and use a co-creation approach to tune the INCARE solution. Extended pilots carried out in four different countries, i.e. Poland, Slovenia, Romania and Hungary, not only aid the development but also bring evidence about the effectiveness of the INCARE solution. At larger scale, our aim is to increase awareness and strengthen trust in the positive effects and huge potential of high-tech AAL solutions.

INCARE offers a fully integrated solution that enables flexible, scalable and sustainable services to support elderly people with various backgrounds and age related impairments to self-manage their daily life, increase their sense of wellbeing, and prolong their involvement in the society while reducing the burden on their formal and informal caregivers. The INCARE solution goes beyond concatenation of functionalities by providing a seamless access of its users to a wealth of interconnected services with added functionalities.

The targeted TRL 7, together with a unique market proposition built upon the consortium experience and users’ input, ensures market success and facilitates commercialisation of the INCARE solution within 2 years after the end of the project. EXYS, by exploiting its considerable experience in the AAL sector, leads the process of bringing the INCARE solution to the market. SOFTIC will contribute by offering software solutions that support successful IT and business strategies.

Lib2Life- The revival of libraries and cultural heritage through advanced technologies Call name: P 1 - SP 1.2 - Proiecte complexe realizate in consorții CDI
PN-III-P1-1.2-PCCDI-2017-0689 2018 - 2021

Role in this project: Key expert

Coordinating institution: BIBLIOTECA CENTRALA UNIVERSITARA "CAROL I"

Project partners: BIBLIOTECA CENTRALA UNIVERSITARA "CAROL I" (RO); BIBLIOTECA CENTRALĂ UNIVERSITARĂ "M. EMINESCU" (RO); BIBLIOTECA CENTRALA UNIVERSITARA LUCIAN BLAGA (RO); BIBLIOTECA CENTRALA UNIVERSITARA EUGEN TODORAN (RO); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); INSTITUTUL NATIONAL DE CERCETARE - DEZVOLTARE IN INFORMATICA - ICI BUCURESTI (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: http://www.lib2life.ro

Abstract:

The project Lib2Life – the Revival of libraries and cultural heritage through advanced technologies has the purpose of reviving the role of the libraries as core institutions in the educational process; to give full meaning to a cultural heritage often shaded by the magnetism of the new digital formulas invading the concrete reality; to reinvent reading practices according to the profile of the contemporary user.

The project Lib2Life is developed by a consortium of four Central University Libraries, University Politehnica and the National Institute for Research and Development in Informatics, bringing together top specialists in the field of restoration of heritage documents, library science and advanced IT technologies.

The project Lib2Life has four sub-components with the following common objectives: developing new solutions for cultural heritage preservation; promoting it through cutting-edge methods and techniques; increasing access to info-documentary resources; improvement of the library services; knowledge and technology transfer to society.

The methods and techniques that will be put into practice will follow the highest standards of scientific innovation, without neglecting practical applicability. Thus, along with the colloquia and scientific publications, much of the Lib2Life project’s results have high socio-economic value: patents, registers and public access databases, software apps, guides for strategies and good practice.

The Robots and the Society: Cognitive Systems for Personal Robots and Autonomous Vehicles Call name: P 1 - SP 1.2 - Proiecte complexe realizate in consorții CDI
PN-III-P1-1.2-PCCDI-2017-0734 2018 - 2021

Role in this project: Project coordinator

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); INSTITUTUL DE CERCETARI PENTRU INTELIGENTA ARTIFICIALA ,,MIHAI DRAGANESCU'' (RO); INSTITUTUL DE MATEMATICA "SIMION STOILOW" AL ACADEMIEI ROMANE (RO); UNIVERSITATEA TEHNICA DIN CLUJ - NAPOCA (RO); UNIVERSITATEA "DUNAREA DE JOS" (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: http://aimas.cs.pub.ro/robin/

Abstract:

ROBIN is a user-centered project designing software systems and services for the use of robots in an interconnected digital society, and enables companies to develop complex, intelligent and ready-to-use products and services for these users, as well as for the society as a whole. The project covers a diverse range of robots: assistive robots for the support of people with special needs, social robots for interaction with store customers, and software robots that can be installed on intelligent vehicles to achieve autonomous car driving. The project combines advanced techniques and technologies of artificial intelligence, human-robot interaction, interactions with a pervasive intelligent environment, and Cloud processing.

ROBIN-Social develops integrated and easily configurable solutions for the personalization of assistive and social robots, with a cognitive and autonomous character.

ROBIN-Car develops computer vision methods, which resolves a large and sophisticated plethora of tasks for automated driving, and a prototype system which will be tested on an electrical vehicle.

ROBIN-Context creates a support platform for the semantic representation and efficient management of data that becomes context in scenarios of personalized robotic assistance and AADS.

ROBIN-Dialog develops a set of scenarios for micro-worlds and the technology for the Romanian language processing to achieve situational dialogs in these micro-worlds.

ROBIN-Cloud builds a support platform for collecting data coming from the sensors of robotic systems and IoT systems that offers Cloud Edge and Cloud Robotics computing.

The complex project, through the interaction of its developed components, brings significant contributions in fundamental research, applied research, innovation, and technological transfer, offers advanced scientific and technical services, and contributes to the enhancement of the institutional capacity of the 4 partners in the consortium.

Space technologies used in the management of disasters and major crises, manifested at local, national and regional levels Call name: P 2 - SP 2.1 - SOLUTII - 3 - Tehnologii spaţiale în managementul dezastrelor şi crizelor majore
PN-III-P2-2.1-SOL-2016-03-0046 2017 - 2020

Role in this project: Key expert

Coordinating institution: INSTITUTUL NATIONAL DE CERCETARE - DEZVOLTARE IN INFORMATICA - ICI BUCURESTI

Project partners: INSTITUTUL NATIONAL DE CERCETARE - DEZVOLTARE IN INFORMATICA - ICI BUCURESTI (RO); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); UTI GRUP S.A. (RO); Ministerul Apararii Nationale prin Agentia de Cercetare pentru Tehnica si Tehnologii Militare (ACTTM) (RO); TERRASIGNA SRL (RO); INSTITUTUL DE STIINTE SPATIALE-FILIALA INFLPR (RO); INSTITUTUL ASTRONOMIC (RO); Academia Tehnica Militara (RO)

Affiliation: Ministerul Apararii Nationale prin Agentia de Cercetare pentru Tehnica si Tehnologii Militare (ACTTM) (RO)

Project website: http://spero.ici.ro

Abstract:

Disaster management involves activities aiming to organize and manage resources and responsibilities to minimize human and material losses. The need for solid, real-time information to support authorities’ intervention, coordinate humanitarian activities and remove civilian security threats requires the use and analysis of satellite and multi-source data as well as fast mapping methods. The overall objective of the SPERO project - "Space technologies used in the management of disasters and major crises, manifested at local, national and regional levels" is to create a support platform for the management of emergency situations generated by natural disasters, industrial accidents, humanitarian crisis situations or extreme atmospheric and space phenomena. The project focuses on building a complex geo-spatial database, visualization, processing and analysis tools; inventory of risk areas and existing and necessary means for the management of major disasters and crises; integrated situational analysis at local, national and regional level; facilitating the access to these informational resources to structures with major crisis prevention and disaster response tasks; substantiating national and regional initiatives and policies and initiatives; Integration and capitalization of national expertise in support areas such as geo-spatial sciences, geodesy, cartography, photogrammetry, remote sensing, astrophysics, optical and video data processing, security and IT & C. Successful implementation of the project will have a significant impact on the profitability of the economic agents involved by increasing the annual turnover based on the services they offer in the proposed system. The achievement of the proposed system produces immediate positive economic effects by lowering the cost of crisis analysis and management, real-time and accurate estimation of the resources needed to solve crisis situations, as well as subsequent monitoring of the situations and problems generated. The results of the project will be disseminated and exploited through specific activities by the consortium partners.

Indoor and outdoor NITICSplus solution for dementia challenges Call name: P 3 - SP 3.5 - Programul "Active and Assisted Living"
AAL2017-AAL-2016-074-IONIS-2 2017 - 2020

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: http://aimas.cs.pub.ro/ionis/

Abstract:

People with dementia are evidencing, already from the early stage of the illness, memory loss, episodes of confusion and space-time disorientation. The latter often happens in unpredictable ways, with consequences that sometimes can be very serious. With the progress of the disease, the escape and wandering can become symptomatic and recurrent events. Currently, the problem lies almost completely on the families, which without other solutions, often get to drastic measures, reducing patient’s freedom. If this is not possible, caregivers live in a state of continuous stress. Location based services (LBS) have the potential to offer, at an affordable cost, useful help to both caretakers and caregivers. Motivated by this context, we propose to develop the IONIS by exploiting LBS, sleep quality monitoring, communication services in order to offer a wide range of dementia specific solutions through continuous support to people with dementia when they are at home (indoor area) or outside (outdoor area). A user-centered design involving extensive trials and piloting will be employed to both develop and validate the IONIS solution.

Artificially intelligent ecosystem for self-management and sustainable quality of life in AAL Call name: P 3 - SP 3.5 - Programul "Active and Assisted Living"
AAL-CAMI 2015 - 2018

Role in this project: Project coordinator

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); CENTRUL IT PENTRU STIINTA SI TEHNOLOGIE S.R.L. (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: http://www.camiproject.eu/

Abstract:

CAMI is offering a fully integrated AAL solution by providing services for health management, home management and wellbeing (including socialization, and reduced mobility support). CAMI builds an artificial intelligence ecosystem, which allows seamless integration of any number of ambient and wearable sensors with a mobile robotic platform endowed with multimodal interaction (touch, voice, person detection), including a telepresence robot with manipulatory capabilities.

The services offered by CAMI ecosystem address both healthy individuals as well as those with age-related impairments. CAMI solution will reconcile the increased demand for care in the current aging society with limited resources by supporting an efficient and sustainable care system.

Performant Services for Client Assistance Based on Robotic Platforms Call name: P 2 - SP 2.1 - Transfer de cunoaștere la agentul economic „Bridge Grant”
PN-III-P2-2.1-BG-2016-0425 2016 - 2018

Role in this project: Project coordinator

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); CENTRUL IT PENTRU STIINTA SI TEHNOLOGIE S.R.L. (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: http://aimas.cs.pub.ro/sparc

Abstract:

Robots have started to have a tremendous impact in economy and society through cost reduction of operations, increase of quality and conditions of work, assistance of people with special needs and, recently, client support and assistance in different domains.

The available technology at CITST on which this project is based, is the Tiago robot manufactured by Pal Robotics. Tiago is a mobile platform with manipulation, perception, manipulation and grasping abilities, and speech synthesis and understanding,. Tiago is an almost humanoid robot with a height of 146 cm and a weight of 75kg. CITST wants to exploit this robotic technology as a service offer for its potential clients. The envisaged scenarios are product promotion and/or clients’ assistance in public places such as malls, museums, exhibitions, etc. If a certain company wants to promote a product or offer robotic assistance to its clients, CITST will personalize and adapt the actions of the robot to achieve the desired tasks or scenarios, and will lease the robot to this company. In this context, the main goal of this project is the design and implementation of a robotic platform to achieve integrated planning of Tiago tasks, command of the execution of defined tasks and monitoring of robots actions. Based on this platform, the robot activity must be easily configurable according to given scenarios and must allow multi-modal interactions with the client.

The successful achievement of the project objectives will have a significant impact for the CITST company. The immediate technical impact of the project is to offer the company an easy way to define and configure the robot for client support in different contexts. The possible future impact is to increase the number and nature of CITST robotic services with services that are autonomous, flexible and reliable, including services for persons with special needs.

A Context Management Middleware Servicing Ambient Intelligence Applications Call name: P 2 - SP 2.1 - Proiect experimental - demonstrativ
PN-III-P2-2.1-PED-2016-1753 2017 - 2018

Role in this project: Project coordinator

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: http://aimas.cs.pub.ro/consert

Abstract:

Ambient Intelligence (AmI) has nowadays matured enough to become the focus of industry-level projects and European support directives.

A foundational subdomain of AmI is that of context management and context-aware computing (provide applications and users with the right information, at the right time, and in the right way).

Context Management covers many research aspects from knowledge representation and reasoning issues to information management concerns. A clear separation of concerns between the main application functionality and contextual adaptation is needed.

Thus, the objective of this project is the creation of an open source context management middleware solution presenting rich features that alleviate context-aware application development.

Work is based on an existing platform called CONSERT, recently developed in the AIMAS research group of UPB. The current project improves upon CONSERT with: (1) performance improvement and modularisation of the reasoning engine to support applications of variable complexity requirements, (2) development of an integrated development environment (IDE) for context modeling and deployment to facilitate context-aware application programming based on the CONSERT Middleware, (3) advanced options for OSGi and Docker based deployments of CONSERT processing units to address dynamic change of context within an application (e.g. change of location, change of activity), and (4) development of two test applications: Smart Meeting Support for activity monitoring of students and teachers on a campus, and Smart Home User Support for adequate dynamic configuration of services offered in an ambient intelligence environment to assist users at home.

An open web-platform (CONSERT Store) will be setup where software components and configurations of CONSERT processing units can be shared by developers.

Mobility pattern assistant for elderly people Call name: Joint Applied Research Projects - PCCA 2013 - call
PN-II-PT-PCCA-2013-4-2241 2014 - 2017

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); CENTRUL IT PENTRU STIINTA SI TEHNOLOGIE S.R.L. (RO); UNIVERSITATEA BABES BOLYAI (RO); UNIVERSITATEA "ŞTEFAN CEL MARE" DIN SUCEAVA (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: http://aimas.cs.pub.ro/mobile-old/

Abstract:

Given the large number of elderly in the future, limiting the negative effects of non-adoption of ICT by future elderly (i.e.social exclusion) and stimulating the positive effects (which, on an aggregate scale might provide a solution for the financial problems related to the graying of the population), becomes an important task for public policies. In this context, the main goal of this project is to develop an elderly-friendly platform and associated tools for assisting elderly people to maintain a healthy lifestyle in their homes. By relaying on natural interaction devices (Kinect sensor) and natural user interfaces commanded by gestures, the platform will increase its chances of acceptability by the elderly community, thus addressing the perpetual problem of ICT for elderly.

The Mobile@Old platform will supervise elderly people in their homes, tracking their physical daily activities and supervising their vital signs (pulse, heart rate, etc), thus acting as a Personal Assistant (PA). One of the primary goals is to act as non-intrusively as possible while relying on modern technologies that will ensure its effectiveness. It will take an interdisciplinary approach making use of several novel techniques in artificial intelligence, image analysis, knowledge extraction, data fusion, agents applied in ambient intelligence applications correlated with medical and psychological issues.

The platform addresses age related issues beyond the simple physical fitness. Computer games may be able to contribute to delaying cognitive degradation-game mechanics and game dynamics are able to positively influence human behavior because they are designed to drive the players above the activation threshold (i.e. the upper right of the ability-motivation axis), and then trigger them into specific actions. However these games need to be tailored to the elderly, in game playing, interface and objectives.

PA will extract a mobility pattern for each user and to generate remainders and alerts regarding to their physical and other daily activities. In case of low physical activity PA will advise the user to increase her/his level of physical exercise. The exercises will be performed interactively, as an adaptive game, specifically designed for elderly persons. The intensity level of the recommended physical exercises will be generated and adapted based on both vital parameters of the user (analyzed using a medical expertise) and also on his observed behavior by a team of psychologists.

The project will support maintaining health and functional capacity of older people and promote a better lifestyle and healthier for people based on the following components:

• VSM - Vital Sign Monitoring: performing analysis of vital signs using medical expertise and the observed behavior by interacting with a team of psychologists.

• PAT - Physical Activity Trainer: recommendation making exercise more, in case of detection of a low level of physical activity. These exercises will be carried out interactively as an adaptive game designed for the elderly;

• The recommended exercises will be generated and adapted based on the vital parameters values obtained from different sensors, also based on the user behavior.

a recommended Exercise will be generated and adapted based on the values of various sensors monitor vital parameters and user behavior. The project is carried out by a multidisciplinary consortium composed of three universities and one SME with expertise in computer vision, artificial intelligence and ambient intelligence (UPB, Bucharest), user interfaces, web technologies and programming (UBB, Cluj Napoca), affective intelligence and pattern recognition (USV, Suceava), image processing and hardware development (small enterprise IT Center for Science and Technology SRL: CITST). A team of psychologists and a physician from UBB and a kinetotherapist from USV will be part of the consortium.

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