BrainMap

Mr. Decebal Popescu

prof. dr. ing. habil.

- UNIVERSITATEA NAȚIONALĂ DE ȘTIINȚĂ ȘI TEHNOLOGIE POLITEHNICA BUCUREȘTI

Researcher | Teaching staff

Curriculum Vitae (28/12/2020)

Expertise & keywords

Information system based on cloud services, accessible through mobile devices, for quality improvement of products and business development in farms Call name: Joint Applied Research Projects - PCCA 2013 - call
PN-II-PT-PCCA-2013-4-0870 2014 - 2017

Role in this project:

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); CBM ELECTRONICS S.R.L. (RO); FUTURE IT EXPERT S.R.L. (RO)

Affiliation: FUTURE IT EXPERT S.R.L. (RO)

Project website: http://cluefarm.hpc.pub.ro

Abstract:

E-services allowed transition from the punctual processes approach, in agriculture, in which each process was treated isolated, to the integrated approach, that allows the unified management of all processes. In this context, the agricultural greenhouse can be treated as a complex system, in which soil moisture, a decisive factor in plant growth is correlated with technical factors (other measured measures, type of crop, soil type, season, geographical location), with economic efficiency and the ergonomics of the farmer’s workplace or the influences of other adjacent systems and phenomena (climatic, hydrological, access to expertise, legal regulations, etc.). The overall objective of the proposal is to create an intelligent, integrated, cloud services-based system, using advanced computer technology, automation and communications to increase product quality and business development in the area of farming. The specific objective is to create an integrated control system for controlling the process in greenhouse crop production, using the services available on mobile devices. The services also offer simple and cheap integration of the existing infrastructure in various types of companies involved in agriculture. The added value generated by the system results from the creation of a virtual space that can be shared by several categories of companies:

- Agricultural farms, greenhouses particularly

- Companies providing information and training services to farmers

- Companies supplying equipment and agricultural materials, for modern technology-based advertising for agricultural products, seeds, tools, etc..

- Associations of farmers, interested in a virtual environment for collaboration between farms / companies

- Other entities interested in working with listed categories (eg local/central government services)

The project increases the quality of agricultural products grown in greenhouses by combining several advanced cloud services used on the entire value creation chain.

The primary chain services provide real-time measurement of specific parameters (humidity, temperature, soil composition) and direct drive of watering equipment, depending on the specific culture of each lot.

The secondary chain services (support) provides:

- Setting up lots within the greenhouse to allow differential treatment depending on the culture;

- Information / training of farmers on the most appropriate methods / tools / techniques for cultivation of various crops:

- Commercial advertising, for suppliers of specific equipment and materials (seeds, fertilizers, tools specifically destined to be used in greenhouses);

- Liaison with local/central government, for rapid and efficient information of measures / regulations or situations of interest to farmers.

- Interoperability with platforms that monitor environmental conditions (meteorology, hydrology, pollution) to retrieve warning/alert messages.

All services are available on mobile platforms.

The project will end with an experimental model of the integrated system, which includes the cloud platform hosting the services, the system of sensors (the method of measuring the soil moisture is intended to be patented) and the driving system of the watering equipment.

The platform allows the connection of any type of automation device already installed in the greenhouse, by appropriate web service connector. If the farmer does not have such facilities, he will have to purchase only sensors that will be positioned in the appropriate places and actuators for watering and for accesing the services he will subscribe to the web service, which in turn will provide information in the desired format and will drive the watering equipment.

AN INTELLIGENT HAPTIC ROBOT GLOVE for the PATIENTS SUFFERING A CEREBROVASCULAR ACCIDENT Call name: Joint Applied Research Projects - PCCA-2011 call, Type 1
PN-II-PT-PCCA-2011-3.1-0291 2012 - 2016

Role in this project:

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI (RO); UNIVERSITATEA DIN CRAIOVA (RO); SPITALUL CLINIC DE RECUPERARE (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: http://www.ihrg.pub.ro

Abstract:

In the last decade, the scientific community has become increasingly interested in so-called Rehabilitation Robotics, a branch of the areas of Robotics and Mechatronics that addresses to the study of complex robotic systems aimed at the restoration of human functions for those people who haved suffered major trauma as a result of strokes and cerebrovascular diseases. A cerebrovascular stroke occurs when a blood vessel (an artery) that supplies blood to an area of the brain bursts or is clogged by a blood clot. As a result, the part of the body that is controlled by the affected area of the brain cannot function properly.Total loss or loss of range of motion, decreased reaction times and disordered movement organization create deficits in motor control, which affect the patient’s independent living.A key feature of our project is that subjects at any impairment level can repetitively practice and complete stereotyped movement patterns. Active retraining can positively shape the cortical reorganization associated with motor recovery following brain injury. This therapy involves intensive repetitive exercise of the more affected limb coupled with constraint of the opposite limb and results in positive cortical reorganization in the motor cortex.

This project deals with the design and development of an Intelligent Haptic Robot-Glove (IHRG) for the rehabilitation of the patients that have a diagnosis of a cerebrovascular accident (CVA).The IHRG is an exoskeleton that supports human hand and hand activities by using a control and virtual architecture for dexterous grasping and manipulation. This IHRG is a medical device that acts in parallell to a hand in order to compensate some lost function. In this project, a novel mechatronic approach for the development of an exoskeleton assistive hand is considered, integrating the mechanical structure, the sensory , the actuation system and the virtual and control system.

High-PErformance Computing of PersonAlized CaRdio-Vascular ComponenT Models Call name: Joint Applied Research Projects - PCCA-2011 call, Type 2
PN-II-PT-PCCA-2011-3.2-1229 2012 - 2016

Role in this project:

Coordinating institution: UNIVERSITATEA TRANSILVANIA BRASOV

Project partners: UNIVERSITATEA TRANSILVANIA BRASOV (RO); SIEMENS SRL (RO); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); SPITALUL CLINIC DE URGENTA (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: http://heart.unitbv.ro

Abstract:

The incidence of premature morbidity and mortality for Coronary Artery Disease patients is still very high,the main reason being the lack of accurate in-vivo and in-vitro patient-specific estimates for diagnosis and progression of the disease.For example,in the case of coronary stenosis, accurate estimates of the anantomy as seen in the diagnostic images,can vastly underestimate or overestimate the severity of the blockage.For a functional assessment of such a blockage,analysis of the subsequent disease progression and assessment of the best intervention/surgical option for an individual patient,it is important to incorporate multi-faceted information from the hemodynamics and cellular mechanisms from multiple scales.Incorporating such multi-scale information in a complex computational model has been difficult in the past due to the high computational demands therefore it is important to enable such simulations on High Performance Computing(HPC)platforms.

HEART wants:

-To develop,integrate and validate patient-specific multi-scale computational models with high predictive power for coronary circulation in healthy and diseased vessels:

•Comprehensive modeling of the anatomical,hemodynamic and cellular phenomenon in coronary circulation

•Efficient multi-scale coupling with the state-of-the-art heart models for advanced patient-specific simulations

•Assessment of functional parameters and subsequent validation of the models.

-To improve the clinical management of coronary artery disease by leveraging the computational models to create specific therapeutic interventions:

•Simulation based methods for intervention planning(virtual stenting, angioplasty and Coronary Artery Bypass Graft) using computational models.

•HPC architecture for efficiently addressing the multi-scale complexity, a critical requirement for translation into clinical decision making; Comparative analysis of the potential implementations: GPUvsCluster based platforms.

FILE DESCRIPTION	DOCUMENT
List of research grants as project coordinator
List of research grants as partner team leader
List of research grants as project coordinator or partner team leader
Significant R&D projects for enterprises, as project manager
R&D activities in enterprises
Peer-review activity for international programs/projects