Alexandru Sorici

National University of Science and Technology Politehnica Bucharest · Computer Science

1) Objective: We explore the predictive power of a novel stream of patient data, combining wearable devices and patient reported outcomes (PROs), using an AI-first approach to classify the health status of Parkinson's disease (PD), multiple sclerosis (MS) and stroke patients (collectively named PMSS). (2) Background: Recent studies acknowledge the...

Stroke is one of the leading causes of disability and death worldwide, a severe medical condition for which new solutions for prevention, monitoring, and adequate treatment are needed. This paper proposes a SDM framework for the development of innovative and effective solutions based on artificial intelligence in the rehabilitation of stroke patien...

Nowadays, neurological diseases represent a medical emergency for which new prevention, monitoring and adequate treatment solutions are needed. ALAMEDA project proposes a monitoring solution for patients with Parkinson’s disease, Multiple Sclerosis, and Stroke, using multiple sensors and specific applications to collect information on the condition...

Central nervous system diseases (CNSDs) lead to significant disability worldwide. Mobile app interventions have recently shown the potential to facilitate monitoring and medical management of patients with CNSDs. In this direction, the characteristics of the mobile apps used in research studies and their level of clinical effectiveness need to be e...

Agent-oriented software engineering has recently seen a sustained effort towards the definition of a new class of Multi-Agent System design, called Hypermedia MAS, which promotes an alignment between MAS engineering and the Web architecture to enable development of large, open, dynamic and long-lived interaction systems. A major challenge in these...

Digital therapy in neurological diseases involves covering many aspects of the patient's health using specific smart devices. The use of digital technologies in combination with evidence-based medicine contributes to treatment efficiency and personalized patient intervention. Among the digital devices used in the medical field, especially in the mo...

As a result of the lack of access to hospitals for medical students during the COVID-19 pandemics, a web-based platform is being developed in partnership between the Carol Davila University of Medicine and Pharmacy in Bucharest and the University Politehnica of Bucharest. The platform allows medical students to simulate their interactions with pati...

The practical training in consulting and diagnosing a patient is essential for medical students. Any disruption of the normal practical training due to different reasons, such as the restrictions that were imposed during the COVID-19 pandemic, will prevent students from gaining those essential skills. To answer this provocation, a web-based platfor...

Restrictions imposed during the COVID-19 pandemic have prevented medical students from having regular access to hospitals in Romania. This caused a disruption in the normal educational flow that leads medical students to gain essential skills and experience in the practice of consulting and diagnosing a patient. To alleviate the issue a web-based...

Service robots will be a necessity for humans in many areas where robots will provide varied daily services that will become more sophisticated and superior to the capabilities of robots. We show how our robotic system can handle multiple re- quired tasks either sequentially, simultaneously, or concurrently. These tasks can be requested from intern...

Social and service robots are designed to achieve complex tasks that are increasing daily. Cloud resources enhance service robots with strong computing capabilities and higher data storage centers. One of the major drawbacks of the cloud robotics model is the network latency that edge computing addresses. Considering the capabilities that a service...

Recent studies in social robotics show that it can provide economic efficiency and growth in domains such as retail, entertainment, and active and assisted living (AAL). Recent work also highlights that users have the expectation of affordable social robotics platforms, providing focused and specific assistance in a robust manner. In this paper, we...

Social robot in service is radically changing the ways of performing tasks and it becomes a distinct and valuable nascent. To achieve persist autonomy, robotic systems implement a closed-loop consisting of at least planning, reasoning and acting phases. From the continual loop perspective, this paper presents the ROSPlan framework, as a task planni...

Artificial Intelligence (AI) has become an important tool for computer-aided diagnosis of medical imaging. This review aims to provide an overview for clinicians, explaining the relevant aspects of artificial intelligence and machine learning (ML) and presenting up-to-date applications of AI and ML techniques to medical imaging methods such as angi...

The number of elderly people (aged 60 years or over) is increasing significantly. Moreover, this happens in the context of increasing well-being costs and decreasing caregiver availability. Therefore, technology must create assisted living solutions that support elderly in their daily activities and ensure their continuous health-monitoring, safety...

Deploying context management systems at a global scale comes with a number of challenges and requirements. We argue that the hypermedia model and the agent-oriented paradigm help achieve the vision of Context-as-a-Service. We categorize challenges according to context processing concerns and use a scenario to exemplify how the proposed architectura...

Context-awareness is central to many applications in Ambient Intelligence. The paper presents the functionality of a context reasoning engine, called CONSERT, for developing ambient intelligence applications, which builds on semantic complex event processing. The implementation of core rule processing using the DROOLS Fusion framework and the advan...

The field of assistive robotics is gaining traction in both research as well as industry communities. However, capabilities of existing robotic platforms still require improvements in order to implement meaningful human-robot interactions. We report on the design and implementation of an external system that significantly augments the person detect...

The increase in life expectancy and the slumping birth rates across the world result in lengthening the average age of the society. This change in demography has many consequences, the major being the insufficient number of caregivers. Therefore, we are in need of techniques that will assist the elderly in their daily life, while preventing their s...

The increasing ageing population worldwide imposes some new challenges to the society like the provision of dependable support while facing a shortage in the numbers of caregivers, increased health costs and the emergence of new diseases. As such there is a great demand for technologies that support the independent and safe living of the elderly an...

La complexité et l'ampleur des scénarios de l'Intelligence Ambiante impliquent que des attributs tels que l'expressivité de modelisation, la flexibilité de representation et de deploiement et la facilité de configuration et de developpement deviennent des caracteristiques centrales pour les systèmes de gestion de contexte. Cependant, les ouvrages e...

With the increasing openness and complexity introduced by recent Ambient Intelligence application domains (e.g. Web-of-Things, Sensing-as-a-Service), adaptation of Context Provisioning becomes a key issue. However, methods to easily specify and engineer such mechanisms remain insufficiently explored. In this work we present and evaluate our approac...

Industry involvement in the Ambient Intelligence (AmI) domain together with openness and complexity expected from context-aware applications drive research into generic context management middleware (CMM) solutions. However, the variety of AmI scenarios requires flexibility in design-time and run-time deployment options, while existing CMM approach...

Industry involvement in the Ambient Intelligence (AmI) domain together with openness and complexity expected from contextaware applications drive research into generic context management middleware (CMM) solutions. However, the variety of AmI scenarios requires flexibility in design-time and run-time deployment options, while existing CMM approache...

Ambient Intelligence (AmI) is experiencing an increasing development of applications. Flexibility and genericity in the deployment and provisioning of context management solutions are key issues to be able to tackle with the large variety of domains of these context-aware applications. Existing proposals of Context Management Middleware (CMM) are s...

Representation and reasoning about context information is a main research area in Ambient Intelligence (AmI). Context modeling in such applications is facing openness and heterogeneity. To tackle such problems, we argue that usage of semantic web technologies is a promising direction. We introduce CONSERT, an approach for context meta-modeling offe...

Industry involvement in the Ambient Intelligence (AmI) domain and development of internet-connected sensor networks drive research into generic context management middleware (CMM) solutions. However, no current CMM solution seems capable of addressing the diversity of AmI applications and the entire set of functional and non-functional requirements...

http://riunet.upv.es/bitstream/handle/10251/16889/ITMAS%202012%20.pdf

Ambient Intelligent (AmI) applications are often meant to be used in complex and highly dynamic environments and are characterized by features such as context-awareness, personalisation, adaptivity and anticipation of user's desires. In this demo we focus on how the use of the high level of abstraction provided by multi agent-oriented technologies...

This paper presents our approach to build an argumentation-based multi-agent framework, where agents can engage in debates with other agents and also with humans in natural language (English). The structure of the agent society and the architecture of the agents are described, with focus on the natural language processing module. We chose statistic...