BrainMap

Mr. Henri-George Coanda

Ph.D.

Associate Professor - UNIVERSITATEA "VALAHIA" TARGOVISTE

Researcher | Teaching staff | Manager

Curriculum Vitae (04/02/2020)

Expertise & keywords

Efficient algorithms for reducing sound artifacts in hearing aids Call name: P 4 - Proiecte de cercetare exploratorie - PCE-2021
PN-III-P4-PCE-2021-0780 2022 - 2024

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA "VALAHIA" TARGOVISTE

Project partners: UNIVERSITATEA "VALAHIA" TARGOVISTE (RO)

Affiliation: UNIVERSITATEA "VALAHIA" TARGOVISTE (RO)

Project website: https://www.earned.valahia.ro/

Abstract:

The quality of life of human beings is seriously impacted by the loss of hearing and this is an increasing medical problem in Romania and the EU. While significant advances have been achieved in hearing aid design, there is still user dissatisfaction with commercially available hearing aids, especially regarding howling, occlusion, and entrainment effects. This project proposes an original approach to reduce these annoying sounds by combining active noise control (ANC), acoustic feedback cancellation (AFC), and machine learning (ML) approaches. Multiple and novel ways the machine learning-based block can influence the parameters of the linear/nonlinear adaptive filters will be investigated by using the team's extensive experience in the ANC and AFC domains. Up to 20 dB improvement on maximum stable gain (MSG), added stable gain (ASG) is expected, increased robustness to noise, and under-modeling of the feedback path for both real speech and music signals. The proposed algorithms will be implemented on DSPs and FPGAs. It is expected that the proposed algorithms could have potential applications in telecommunications (e.g. stereo acoustic echo cancellation, mobile communications), consumer electronics (e.g. the ANC systems for motorcycle helmets), etc.

Integrated multi-vector management system for Energy isLANDs Call name:
LC-SC3-ES-3-2018-2020/ID: 824388 2018 - 2022

Role in this project: Key expert

Coordinating institution: UNIVERSITAT DE GIRONA

Project partners: UNIVERSITAT DE GIRONA (RO); Schneider Electric Norge AS (RO); BORG HAVN IKS (RO); INSTITUTT FOR ENERGITEKNIKK (RO); VAASAETT LTD AB OY (RO); SMART INNOVATION NORWAY AS (RO); INTRACOM SA TELECOM SOLUTIONS (RO); REINER LEMOINE INSTITUT GGMBH (RO); UNIVERSITATEA "VALAHIA" TARGOVISTE (RO); UNIVERSITAET ST. GALLEN (RO); INSTRUMENTACION Y COMPONENTES SA (RO)

Affiliation: UNIVERSITATEA "VALAHIA" TARGOVISTE (RO)

Project website:

Abstract:

E-LAND consortium believes that there are still major challenges in connection to technology, society and economics to overcome. In the E-LAND project, the main objective is to tackle these challenges and support the decarbonisation of energy islands by developing a E-LAND Toolbox for Multi-Energy Islands including tools and methods addressing the business, society and technology challenges.

Reversible Data Hiding Based Image Lossless Compression Call name: P 2 - SP 2.1 - Proiect experimental - demonstrativ
PN-III-P2-2.1-PED-2019-2464 2020 - 2022

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA "VALAHIA" TARGOVISTE

Project partners: UNIVERSITATEA "VALAHIA" TARGOVISTE (RO)

Affiliation: UNIVERSITATEA "VALAHIA" TARGOVISTE (RO)

Project website: https://rdhc.valahia.ro/

Abstract:

The project aims at developing a new type of software products for lossless image compression where the size of the compressed file is comparable with the one provided by standard lossless compression products and, besides, the content of the compressed image remains visible and completely intelligible. Since the content is visible, the decompression is necessary only when the exact recovery of the original image is required. The idea of such compressors appeared in the framework of the exploratory research project PN-III-P4-IDPCE-2016-0339, when we investigated the improvement of lossless compression by using high capacity reversible data hiding (RDH) algorithms. The basic principle of the proposed RDH-compressors is to reduce image size (by subsampling or cropping) and to embed into the reduced size version, by RDH, the entire information needed to exactly recover the original image. The concept, RDH-compressors, is new and is still unpublished.

The main objectives of the project are to design, develop and test prototypes for the RDH modules and for the RDH-compressors both for graylevel and color images. Our preliminary high capacity RDH schemes are already the state-of-the-art in data hiding and can provide, for graylevel images, embedding bitrates of more than 3 bits per pixel. Improvement of about 0.1 to 0.3 bpp are expected. Besides lossless compressors, the high capacity RDH schemes can be used in complex metadata embedding applications (e.g. embedding images into images). The preliminary RDH-compression rates are similar with the ones of JPEG-LS. The expected prototypes will outperform the compression rates of JPEG-LS and will be rather similar with the ones of PNG and JPEG 2000, with the advantage of immediate access to image content, without any computation. The interest in RDH-compressors is broad and covers any application where digital images are stored, retrieved, manipulated, received or transmitted.

Intelligent and distributed control of 3 complex autonomous systems integrated into emerging technologies for medical-social personal assistance and servicing of precision flexible manufacturing lines Call name: P 1 - SP 1.2 - Proiecte complexe realizate in consorții CDI
PN-III-P1-1.2-PCCDI-2017-0290 2018 - 2021

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA "DUNAREA DE JOS"

Project partners: UNIVERSITATEA "DUNAREA DE JOS" (RO); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); UNIVERSITATEA "VALAHIA" TARGOVISTE (RO); UNIVERSITATEA DIN CRAIOVA (RO)

Affiliation: UNIVERSITATEA "VALAHIA" TARGOVISTE (RO)

Project website: http://www.cidsacteh.ugal.ro

Abstract:

It proposes the intelligent and distributed control of 3 complex autonomous systems,CAS,mobile robotic platforms equipped with manipulator,integrated into new technologies for personal assistance and service of precision flexible manufacturing lines for reusable products:1)Intelligent wheelchair,CAS-IW,for people with severe disabilities.Assistance and navigation technology is video-biometric.2)Personal robotic assistant,CAS-PRA,is an autonomous robotic platform,with two driving wheels,one or two free wheels and manipulator.Assistance technology is made for the elderly and disabled,in hospital or at home.The main capabilities are:obstacle avoidance navigation,locomotory,sensory,cognitive prosthesis,medical parameters monitoring,voice command recognition.3)Multidirectional autonomous vehicle,CAS-MAV,with 4 driving multidirectional wheels and manipulator,has an assistive technology capable of:transportation,towing medical stretcher, in/out door hospital and rescue on rough terrain.At CAS-PRA and MAV,the control and navigation structure is based on advanced control, ultrasound,laser and visual serving systems to avoid obstacles,localisation and manipulation.CAS-IW,PRA,MAV will be tested in hospitals in Bucharest,Craiova,Galaţi and Târgoviste.CAS-PRA and CAS-MAV will integrate in flexible manufacturing technologies,on assembly and processing lines,laboratory (mechatronics) and industrial lines.The lines become reversible,running disassembly or processing again.Disassembly or reprocessing is performed when the final product does not qualitatively fit,for reusing subassemblies or reprocessing.The technology is hybrid,the manufacturing lines are the discrete part and the CAS continuous one.The technology operates synchronised with the signals from the sensors and from the servoing visual systems.CAS-PRA and VAM will be integrated into industrial manufacturing lines of welding car body,engine assembly and equipping of the models:DACIA Duster Pitesti and Ford B-max Craiova.

reverSible Watermarking: Advanced Techniques Call name: P 4 - Proiecte de Cercetare Exploratorie
PN-III-P4-ID-PCE-2016-0339 2017 - 2019

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA "VALAHIA" TARGOVISTE

Project partners: UNIVERSITATEA "VALAHIA" TARGOVISTE (RO)

Affiliation: UNIVERSITATEA "VALAHIA" TARGOVISTE (RO)

Project website: http://www.swat.valahia.ro

Abstract:

Watermarking is a modern communication paradigm that creates a covert data channel into digital host signals (image, video, audio, etc.). Its applications are in copyrighting, data authentication, metadata embedding. Reversible watermarking (RW) ensures the exact recovery of both the embedded data and the original host. While much research has been devoted to RW schemes of medium embedding bit-rates (
The project SWAT aims to develop high embedding bit-rate and low distortion RW schemes. Beside the practical interest for the resulted algorithms, our research is of theoretical interest for the watermarking and generally, signal/image processing community. The main objectives of the SWAT projects are to: 1) Develop novel RW algorithms of high embedding bit-rate; 2) Investigate and develop high embedding bit-rate RW applications; 3) Investigate lossless compression improvement by using RW.

The proposed algorithms will outperform the state-of-the-art ones with about 20-30%. For natural images we expect > 3 bpp. We also expect at the same bit-rates, gains in quality of 3-6 dB. Complex applications will be investigated for graylevel as well as for other types of images (color, video sequences, multispectral, 3D). While so far, RW has taken advantage of the research in lossless compression, we believe that now it is time that RW contributes to lossless compression as well. For instance, the new predictors developed for RW could be tested in compression too.

Efficient active noise control implementations for adaptive distributed networks Call name: P 2 - SP 2.1 - Proiect experimental - demonstrativ
PN-III-P2-2.1-PED-2016-0651 2017 - 2018

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA "VALAHIA" TARGOVISTE

Project partners: UNIVERSITATEA "VALAHIA" TARGOVISTE (RO)

Affiliation: UNIVERSITATEA "VALAHIA" TARGOVISTE (RO)

Project website: http://noise.valahia.ro

Abstract:

ANC_ADN aims to solve a daily life problem in entertainment and communication such us noise control. Wireless acoustic sensor networks using microphones as acoustic nodes were proposed for this acoustic application. The proposed project involves advanced sound processing techniques that include intelligent generation and/or capture of sound signals by using multiple devices. This approach, together with network intelligence at different levels, is able to manage data, to make decisions and to configure capture/processing/computing devices. The nodes of the network will be able to emit sounds through a loudspeaker and the network would estimate internal signals and design the signals provided to the loudspeakers that control the sound field.

We expect that the proposed affine projection or recursive least square variants for adaptive distributed networks would achieve similar performance with the centralized versions, having low computational requirements and improved scalability in a ring network. The computations will be shared having an incremental communication. The developed algorithms using iterative techniques such as dichotomous coordinate descent or Gauss-Seidel methods could allow the use of limited resources on the sensors, while operating in real-time to enable commercial applications. The proposed approaches have not been applied yet and have the potential of surpassing the current state of the art techniques based on the least mean square algorithm in terms of convergence speed and noise reduction performance. Addressing the scientific challenges and proposing a solution which can be integrated with the proposed principles is guaranteed given the previous extensive experience of the Principal Investigator in active noise control and adaptive filtering projects.

Prototypes of autonomous robotic systems for medical/social assistance and servicing of manufacturing processes in metallurgy, ceramics, glass and automotive Call name: Joint Applied Research Projects - PCCA 2013 - call
PN-II-PT-PCCA-2013-4-0686 2014 - 2017

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA "DUNAREA DE JOS"

Project partners: UNIVERSITATEA "DUNAREA DE JOS" (RO); UNIVERSITATEA "VALAHIA" TARGOVISTE (RO); ELECTRO-TOTAL S.R.L. (RO)

Affiliation: UNIVERSITATEA "VALAHIA" TARGOVISTE (RO)

Project website: http://www.prorobsis.ugal.ro

Abstract:

The project aims to achieve three prototypes of autonomous robotic systems. Prototype 1: wheelchair for elderly and people with severe and light disabilities. It is designed as a mobile robot (autonomous system) with two driving wheels and two free wheels (2DW/2FW), with a control structure based on advanced nonlinear techniques (sliding-mode and backstepping) and a structure for navigation and obstacle avoidance based on the combination between face and eye video-biometric system and a laser system and that can assist people with severe neuro-loco motor disabilities, people with light disabilities or elderly. This prototype is already called for trials and experiments to emergency hospitals from Galati and Targoviste, departments: intensive care unit, orthopaedics and neurology. Video-biometric system consists of two high-resolution cameras to monitor all person's face and eye biometric features. Since the control and navigation structure is novelty and originality in the field, it is considered patenting Prototype 1. Prototype 2 is designed as autonomous robotic system with two driving wheels and one or two free wheels (2DW/1FW or 2DW/2FW), with a remote control system based on advanced nonlinear techniques (sliding-mode and backstepping) and a navigation and obstacle avoidance structure based on ultrasound and laser. The mobile platform is equipped with a 6-DOF manipulator whose remote control and positioning system are based on nonlinear sliding-mode techniques and visual servoing. This prototype is able to handle and transport small medium and large weights, and is designed to operate in collaborative regime for servicing flexible assembly and processing lines to make them reversible, i.e. enabling disassembly or reprocessing, respectively. Disassembly and reprocessing will trigger when the final product does not meet quality requirements for reuse or reprocessing to be brought to the required quality parameters. Prototype 2, with 2DW/1DW and/or 2DW/1FW mobile platforms, equipped with robotic manipulator is already required to be integrated into body assembly lines of the car models Dacia Logan and Sandero at automotive company "DACIA-RENAULT" Pitesti. Integration Prototype 2 as autonomous robotic system equipped with manipulator into flexible manufacturing lines, in order to make them efficient, balanced and reversible, is for the first time in the field. The Prototype 3 is designed as an autonomous vehicle with four driving and steering (4DW/SW) multidirectional wheels, able to run on any type of road. Its control system is based on advanced nonlinear techniques (sliding-mode and backstepping) having the navigation and obstacle avoidance based on laser system. This autonomous vehicle is equipped with a 6-DOF robotic manipulator, able to carry and handle large loads and weights. It is designed for handling, transport and towing operations, indoor and outdoor, into manufacturing processes in metallurgy ("ARCELOR MITTAL" Galati-department of crowding raw materials, "VAE APCAROM" Buzau-handling, towing, and transport rails to/from annealing ovens), in ceramics ("CERSANIT" Roman-traction, transport and handling sanitary ceramics between ovens and drying stations) and in glass ("STICLA" Avrig-transport and handling large sheets of glass between the ovens and drying stations). Prototype 3 conceived as autonomous robotic vehicle designed to operate multidirectional on heavy conditions of road and loads, is a premier in the field of robotic systems.

Methods of prediction of infantile hemangiomas evolution, aimed at preventing desfigurating complications by multiple intervention procedures Call name: Joint Applied Research Projects - PCCA 2013 - call
PN-II-PT-PCCA-2013-4-0201 2014 - 2017

Role in this project: Key expert

Coordinating institution: UNIV.DE MEDICINA SI FARMACIE - CAROL DAVILA

Project partners: UNIV.DE MEDICINA SI FARMACIE - CAROL DAVILA (RO); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); UNIVERSITATEA "VALAHIA" TARGOVISTE (RO); SANAFORT SRL (RO)

Affiliation: UNIVERSITATEA "VALAHIA" TARGOVISTE (RO)

Project website: http://imag.pub.ro/hemacad/

Abstract:

Infantile Hemangiomas (IH) are tumors of vascular origin that are present at birth or develop a few weeks after. The differential diagnosis from vascular malformations is difficult to establish. IH that affect the cephalic and cervical region (the most frequent), the genital area or the extremities, due to the location, dimensions and fast evolution, can determine important functional and esthetic sequels, debilitating for the patient. To avoid these unfortunate consequences it is necessary to establish the exact appropriate moment to begin the treatment and decide which is the most adequate therapeutic procedure.

Until now, at international level there is no standard method of diagnosis of infantile hemangiomas nor any mean of predicting their progress from the clinical point of view and possible complications that may appear. Treatments currently used rely only on subjective observation, instinct and experience of the treating physician, supported by technical and pharmacological development in medicine.

The proposed project intends, based on clinical data collected by serial clinical observations correlated with imaging data, to develop a treatment algorithm to accurately predict the best final results, from esthetical and functional point of view, for a certain type of lesion.

In order to achieve this goal, we will use and/or develop modern methods to process medical images and intelligent algorithms to help the diagnosis (CAD). The software will incorporate advanced methods for accurate measurement of specific IH lesions, will integrate medical information resulting from clinical observations and integrate statistical methods and / or nature-inspired computational methods (e.g. nonlinear dynamics, cellular neural networks, artificial neural networks) to correlate this information with that obtained from the processing of images. Based on these correlations we will establish a prediction mechanism of the evolution of hemangioma. This will help determine the best method of therapeutic intervention to minimize further complications.

The scientific and technological impact of the project resides in the development of these innovative methods. Their implementation will result in a medical device type of product that will obviously help to increase the competitiveness of the Romanian economy, given that the existence of such a product, which aims to really improve the quality of life for children affected by an esthetic and functional disfiguring pathology, is a must.

The product implies real health benefits for both patients and the health system receiving a minimization of costs per patient in this condition. By decreasing the number of procedures and defining a single therapeutic strategy for treating a patient, amounts can be saved and consequently allocated for the benefit of other needs. Moreover, if the aesthetic and functional result is maximized, we save the resources allocated for the patient’s reintegration into society, which is more costly if the degree of failure is higher. Decreasing the disease follow up period, speeding the diagnosis, diminishing the hospitalization time, a faster social integration of the patients are only a few benefits that such a product would bring, not only for the patients, but also for the national and European medical system.

The consortium consisting of “Carol Davila” University of Medicine and Pharmacy Bucharest (project coordinator), University Politehnica from Bucuresti (P1), University Valahia of Târgoviște (P2) and Medical Technologies & Research company (P3) formed a close-knit team to successfully implement the project.

Intelligent system for management, monitoring and maintenance of pavements and roads using modern imaging techniques-PAV3M Call name: Joint Applied Research Projects - PCCA 2013 - call
PN-II-PT-PCCA-2013-4-1762 2014 - 2017

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA BABES BOLYAI

Project partners: UNIVERSITATEA BABES BOLYAI (RO); CENTRUL IT PENTRU STIINTA SI TEHNOLOGIE S.R.L. (RO); CENTRUL DE COMPETENTA IN ELECTROSTATICA SI ELECTROTEHNOLOGII S.R.L. (RO); UNIVERSITATEA "VALAHIA" TARGOVISTE (RO); UNIVERSITATEA "DUNAREA DE JOS" (RO); UNIVERSITATEA TEHNICA DIN CLUJ - NAPOCA (RO)

Affiliation: UNIVERSITATEA "VALAHIA" TARGOVISTE (RO)

Project website: https://econ.ubbcluj.ro/PAV3M, https://www.facebook.com/pages/PAV3M/757415914312096

Abstract:

The primary objective of PAV3M is to develop a holistic platform which integrates imaging based road pavement inspection technology with a risk management and cost/benefits application software tool to support road management needs of transportation agencies, construction and road rehabilitation companies and local governments. On the technological side we propose an automated, portable visual pavement inspection system for traffic-speed pavement distress monitoring and analysis of road pavements whose high degree of integration, easy mountability and costs will permit its operation on non-specialized vehicles and thus its widespread use. Current approaches for road condition data collection are done by specialized vehicles at substantial costs and long inspection cycles. In some cases, due to limited funding, officials even relay on time-consuming manual labor. Yet the importance for traffic safety of timely identification and rectification of road deformations cannot be overstated.

PAV3M will exploit recent advances in image acquisition hardware (higher resolution sensors, faster and more light sensitive digital cameras, increased data acquisition rates, etc.) and the tremendous increase in processing/computing power of “miniatural” units. The proposed system will consist of an innovative camera system and a full set of additional sensors for positioning, orientation and communication. Within PAV3M we will develop efficient algorithms and methods for automated image and video processing to identify and quantify road pavement surface condition parameters. Coupling this information with prediction of defects and with a cost and risk management application will endow the road owners with a methodology to assess the current status of the pavements and to evaluate the effect of maintenance techniques on the pavement capital.

Economic and risk management aspects (UBB) together with defect evolution prediction will be fully integrated into a web portal offering a service that is part of the SMEs (CITST and CCEE) business strategy for targeting the fast developing Romanian road management sector. Intelligent System development will follow Oguara objectives of Pavement Maintenance and Management Systems (PMMS) linked with management tools and functionality. Our proposal links together PMMS and PMS (Pavement Management Systems) in a web-based multi-tier modular solution, which will be offered as a SaaS (Software as a Service) through a web portal.

Using semantic Web we propose a road history database, which can be used in the risk management module. An expert module assists the decision makers in finding optimum strategies for maintaining pavements and the risk module offers solutions for avoid or mitigate risk factors in a given period of time for the minimum cost. This module will offer alternative strategies to cover the wide range of risks associated with pavements, which was proposed by Paine, based on Unified Facilities Criteria for Pavement Maintenance Management.

Partners involved in the project ensure the complementary synergies in a trans-disciplinary approach, based on their competencies, involving a number of interrelated disciplines. We mention relevant expertise in hardware integration, image processing and pattern recognition area, multimedia databases, business process management, risk management, e-business application, portals and web technologies, Web services.

New methods and investigations protocols for the early diagnosis, efficient screening, prognostic and therapy of non-melanoma skin cancers based on existing and novel micro & nano optical tools Call name: Joint Applied Research Projects - PCCA-2011 call, Type 2
PN-II-PT-PCCA-2011-3.2-1162 2012 - 2016

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); SPITALUL CLINIC DE URGENTA (RO); UNIVERSITATEA "VALAHIA" TARGOVISTE (RO); WING COMPUTER GROUP S.R.L. (RO)

Affiliation: UNIVERSITATEA "VALAHIA" TARGOVISTE (RO)

Project website: http://nanolascan.ro

Abstract:

Skin cancer is among the most common forms of cancer in the USA, Australia, and Europe and is increasing in incidence in other parts of the world. The rising incidence of non-melanoma skin cancer, such as basal cell carcinoma (BCC) and squamous cell carcinoma (SCC), makes the investigation of the tumors of this type to represent a subject of maximum importance at this time. The precise visualization and understanding of cellular and sub-cellular structures specific to cancer tumors is essential for establishing a correct diagnostic at a very early stage, as well as for the efficient monitoring of the tumor evolution and of the effects of the administered therapy. We propose to develop and use a commercially unavailable microscopy system, FASNOM, to advance the current understanding on the morphological and autofluorescent nanoscale features found in freshly excised human non-melanoma skin cancer and normal perilesional skin samples. The diagnostic potential of fluorescence imaging and spectroscopy lies in the ability to noninvasively probe alterations in tissue morphology and biochemistry that occur during malignant progression. In this purpose we propose to exploit nanoscale information on the properties of endogenous fluorescent biomolecules present in human skin in order to distinguish between normal, pre-cancerous and cancerous epithelial tissues of different types with high specificity and sensitivity. In the proposed project high importance will be given to identifying nanoscale (

Advanced Adaptive Algorithms for Digital Hearing Aids Call name: Exploratory Research Projects - PCE-2011 call
PN-II-ID-PCE-2011-3-0097 2011 - 2016

Role in this project: Key expert

Coordinating institution: Universitatea VALAHIA din Targoviste

Project partners: Universitatea VALAHIA din Targoviste (RO)

Affiliation:

Project website: http://adaptive.valahia.ro

Abstract:

Despite the advanced technology used by commercially available digital hearing aids, the user dissatisfaction is still high. Advanced adaptive filtering techniques can improve the performance of hearing aids in cases of whistling/buzzing, wind noise and intelligibility of the speech signals in noisy situations. Different time domain or frequency domain adaptive algorithms adapted for feedback cancellation using dichotomous coordinate descent iterations, variable step size, variable filter length, subband and filtered-x versions are proposed. Also, a new widely linear perspective is expected to lead to new noise reduction filters that preserve the spatial information without affecting the intelligibility of speech signals heard by the hearing impaired people. Algorithms that react fast at the onset of the wind noise and slower when the power of the wind is reduced, are expected to reduce the annoying wind noise problem. We propose to recast several fast algorithms in high dimensional reproducing kernel Hilbert spaces to yield powerful nonlinear extensions. Their connections with neural networks and machine learning will be exploited in order to assess the environment to identify the annoying interference signals. Real time implementations of the best algorithms on FPGA are expected to confirm these improvements. These adaptive algorithms developed for hearing aids will be of great use in other areas such as teleconferencing, consumer electronics and wireless communication.

FILE DESCRIPTION	DOCUMENT
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