BrainMap

Mr. Bogdan Belean

PhD

- INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU TEHNOLOGII IZOTOPICE SI MOLECULARE I N C D T I M

Researcher

Curriculum Vitae (12/09/2019)

Expertise & keywords

Collaboration module CERN-RO, Atlas Tiles Calorimeter Phase II Upgrade Call name:
2015 - 2024

Role in this project: Key expert

Coordinating institution: INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU TEHNOLOGII IZOTOPICE SI MOLECULARE I N C D T I M

Project partners: INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU TEHNOLOGII IZOTOPICE SI MOLECULARE I N C D T I M (RO)

Affiliation: INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU TEHNOLOGII IZOTOPICE SI MOLECULARE I N C D T I M (RO)

Project website:

Abstract:

The project is part of the CERN Atlas Tile Calorimeter Phase II Upgrade program and proposes the FPGA based firmware implementation for high voltage and temperature control of the PMT blocks using the HVOpto boards included in the Front-End electronics. This approach for high voltage regulation of the PMTs is known as the HV internal option of the Tile Calorimeter phase-II upgrade. The firmware is developed at the level of both Front-End and Back-End electronics. The Back-End electronics firmware continuously sends monitoring commands and also forwards the commands initiated by the DCS to the Front-End electronics. The aforementioned set of commands are used to set parameters for each PMT channel and also to read back PMT parameter values into the Back-End electronics. The proposed firmware description includes the data format, the VHDL wrappers with input-output ports and also the finite state machine used for the implementation of the desired functionalities.

Genomic and microfluidic approaches in blocking breast cancer invasion and metastasis Call name:
POC 103557 2014 - 2020

Role in this project: Key expert

Coordinating institution: INSTITUTUL ONCOLOGIC PROF.DR.I.CHIRICUTA CLUJ-NAPOCA

Project partners: INSTITUTUL ONCOLOGIC PROF.DR.I.CHIRICUTA CLUJ-NAPOCA (RO)

Affiliation: INSTITUTUL ONCOLOGIC PROF.DR.I.CHIRICUTA CLUJ-NAPOCA (RO)

Project website:

Abstract:

Proiectul urmareste evaluarea fenotipului tumoral in cancerul mamar prin abordari de microfluidica si genomica functionala. Astfel, in cadrul acestei cercetari vor fi identificati noi markeri predictivi, de invazie si metastazare, respectiv markeri de evaluare a rezistentei la terapie, atat a componentei intrinseci cat si a celei dobandite in timpul tratamentului administrat. Daca scopul proiectului va fi atins, suntem increzatori ca datele noi legate de caracterizarea fenotipului tumoral, a capacitatii de invazie si metastazare a celuelor tumorale, respectiv a rezistentei lor la terapie vor juca in viitor un rol important în managementul tratamentului și stabilirea unei terapii personalizate. In acest fel, rezultatele obținute in cadrul acestui proiect ar putea duce la imbunatatirea tratamentului administrat pacienților cu cancer de sân.

Development of active thermal-wave methodologies for non-destructive evaluation and thermophotonic imaging of teeth Call name: Projects for Young Research Teams - RUTE -2014 call
PN-II-RU-TE-2014-4-1507 2015 - 2017

Role in this project:

Coordinating institution: INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU TEHNOLOGII IZOTOPICE SI MOLECULARE I N C D T I M

Project partners: INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU TEHNOLOGII IZOTOPICE SI MOLECULARE I N C D T I M (RO)

Affiliation: INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU TEHNOLOGII IZOTOPICE SI MOLECULARE I N C D T I M (RO)

Project website: http://www.itim-cj.ro/PNCDI/ru136/index.htm

Abstract:

The main objective of the project is to improve the performance in dental diagnosis and to show that using different types of modulation sources (lasers, LEDs), modulation schemes, and complex image processing algorithms, one can construct high resolution images of defective zones of teeth.
The main investigation technique will be infrared lock-in thermography, which is a non-contact and non-invasive tool.
In order to evaluate the adaptation between restorative materials and tooth, an automatic defect detection methodology will be implemented.The method will allow the assessment of both marginal and internal microgaps located at the interface between tooth and filling. The progression of demineralization of enamel with time, for specimens undergoing different treatment demineralization periods, will also be analyzed. 2D maps of the demineralized zones of dental tissue and of the interfaces will be obtained, highlighting the areas with defects .
The method will be validated by complementary techniques: SEM and X-ray diffraction.

Low complexity algorithms for microarray image processing Call name:
POSDRU-PARTING-159-1.5-S-137516 2014 - 2015

Role in this project: Partner team leader

Coordinating institution: INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU TEHNOLOGII IZOTOPICE SI MOLECULARE I N C D T I M

Project partners: INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU TEHNOLOGII IZOTOPICE SI MOLECULARE I N C D T I M (RO)

Affiliation: INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU TEHNOLOGII IZOTOPICE SI MOLECULARE I N C D T I M (RO)

Project website:

Abstract:

Analysis of technologies for parallel processing of image data of stained HL tissue and automatic PDE based approach for CGH microarray image processing Call name:
2015 - 2015

Role in this project: Partner team leader

Coordinating institution: INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU TEHNOLOGII IZOTOPICE SI MOLECULARE I N C D T I M

Project partners: INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU TEHNOLOGII IZOTOPICE SI MOLECULARE I N C D T I M (RO); Johann Wolfgang Goethe University (RO)

Affiliation: INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU TEHNOLOGII IZOTOPICE SI MOLECULARE I N C D T I M (RO)

Project website:

Abstract:

Regarding parallel processing of stained HL tissue images, considering the available resources for parallel computing and the existing Java implementations of the image processing pipeline, the selected software tools for parallel implementations of image processing algorithms were OpenCL. The stained HL tissue image pipeline together with the automatic cDNA microarray image processing pipeline are implemented using CUDA for multi-core architectures using OpenCL in order to decrease the computational time.

Automated system for cDNA microarray image acquisition and processing Call name:
PN-II-IDEI-332 2007 - 2011

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA TEHNICA DIN CLUJ - NAPOCA

Project partners: UNIVERSITATEA TEHNICA DIN CLUJ - NAPOCA (RO)

Affiliation: UNIVERSITATEA TEHNICA DIN CLUJ - NAPOCA (RO)

Project website:

Abstract:

Automation is an open subject in DNA microarray image processing, aiming reliable gene expression estimation. The project presents a novel shock filter based approach for automatic microarray grid alignment. The proposed method brings up significantly reduced computational complexity compared to state of the art approaches, while similar results in terms of accuracy are achieved. Based on this approach, we also propose an FPGA based system for microarray image analysis that eliminates the shortcomings of existing software platforms: user intervention, increased computational time and cost. Our system includes application-specific architectures which involve algorithm parallelization, aiming fast and automated cDNA microarray image processing. The proposed automated image processing chain is implemented both on a general purpose processor and using the developed hardware architectures as co-processors in a FPGA based system. The comparative results included in the last section show that an important gain in terms of computational time is obtained using hardware based implementations.

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