BrainMap

Bogdan Alexandru Dumitru

- INSTITUTUL DE STIINTE SPATIALE-FILIALA INFLPR

Researcher

Web of Science ResearcherID: P-4799-2015

Expertise & keywords

Image enhancement algorithms for photovoltaic panels health monitoring Call name: PNCDI IV, SP 5.7.1 - Proiect experimental demonstrativ
PN-IV-P7-7.1-PED-2024-1804 2025 - 2026

Role in this project: Project coordinator

Coordinating institution: INSTITUTUL DE STIINTE SPATIALE-FILIALA INFLPR

Project partners: INSTITUTUL DE STIINTE SPATIALE-FILIALA INFLPR (RO); SMART RENOWABLE ENERGY S.R.L. (RO)

Affiliation: INSTITUTUL DE STIINTE SPATIALE-FILIALA INFLPR (RO)

Project website: https://www.spacescience.ro/portfolio/imaginer/

Abstract:

Project scope is the enhancement of image quality by using astronomy algorithms for a better assessment of photovoltaic panels (PV) health. With climate change becoming more severe, PV emerges as an important technology for electricity production. But maximizing their impact requires not just widespread adoption, but also increased efficiency. This is where innovative monitoring techniques like infrared (IR) and ultraviolet (UV) photography come into play. Astronomy image calibration rely on sophisticated algorithms to process faint celestial signals and extract meaningful data. These same algorithms can be applied to images captured by UV and IR cameras to literally get a better view of different health problems encountered by PV panels. Clearing noise from images is the first step in building a database from which integration with A.I. algorithms can lead to proactive maintenance and further optimizing panel performance. This project aims to bridge the gap between astrophotography and PV monitoring, showcasing the promise of advanced image processing algorithms for early defect detection and improved solar panel performance. In conclusion, by leveraging astronomical image calibration one can achieve the same signal to noise in cheaper and lighter cameras. Another advantage is in the building of high-quality images databases for the use as input in new AI algorithms for forecasting degradation of PV panels and optimization of PV panels by using cheaper and lighter detectors.

Big data for small bodies Call name: P 1 - SP 1.1 - Proiecte de cercetare pentru stimularea tinerelor echipe independente
PN-III-P1-1.1-TE-2019-1504 2020 - 2022

Role in this project: Key expert

Coordinating institution: INSTITUTUL ASTRONOMIC

Project partners: INSTITUTUL ASTRONOMIC (RO)

Affiliation:

Project website: http://planet.astro.ro/BD4SB/

Abstract:

The study of the asteroids and comets is of primary importance to understand the origin of our Solar system, and it is crucial to assess the role they played for the delivery of water and organic-rich material to the early Earth, and the subsequent emergence of life. Technical advances brought by the space missions and by the ground-based telescopes have contributed in the recent years to an impressive increase of minor planets observational data.

The aim of our project, Big Data for Small Bodies (BD4SB), is to quantify and to characterize the diversity of small bodies of the Solar System at sizes from meter to kilometer scale. To achieve this objective we will develop a framework which combines the existing tremendous amount of observations provided by the large surveys programs with the data provided by space missions and with the laboratory results of meteorites and various rocks and minerals. We will make use of the advancements of machine learning and pattern recognition algorithms.

Based on this new approach which considers the big data obtained by various instruments, telescopes and spacecraft mission in a unified context, we will be able to shed light on the following questions: 1) What are the processes that shaped the planetesimals in the early Solar System? - characterize the differentiation process across the Main Belt 2) Is there any asteroid composition unsampled in the existing meteorites collections? 3) What are the resources (and to which level) that small bodies can provide for the space exploration? 4) How the properties of small bodies of the Solar System compare with those of recently discovered interstellar objects.

The second aim of our project is to consolidate our Romanian team of planetologists. Within this project we will publish at least three articles in journals with I.F. > 5 and we will enhance the collaborations in the framework of the working groups of the space-mission research teams and all-sky surveys.

Compositional mapping of asteroid population based on spectral and spectrophotometric data Call name: Projects for Young Research Teams - RUTE -2014 call
PN-II-RU-TE-2014-4-2199 2015 - 2017

Role in this project: Key expert

Coordinating institution: INSTITUTUL ASTRONOMIC

Project partners: INSTITUTUL ASTRONOMIC (RO)

Affiliation: INSTITUTUL ASTRONOMIC (RO)

Project website: http://observer.astro.ro/cmaps/

Abstract:

CMAPS project aims to derive a compositional mapping of the asteroid population. The use of spectral data with spectrophotometric data, both in visible and NIR region will provide a refined understanding compositional distribution over asteroid populations.

Part of our main objective consists in building up statistics, find correlations and trends over a large number of visible and near-infrared spectra of asteroids. It is expected that such statistics will reveal correlations between size, composition and source region of the different categories of asteroids.

Our project will provide comprehensive answers to questions such as: What are the statistical properties of different populations of asteroids; What is the relationship between asteroids comets and meteorites; What is ratio between primitive asteroids and those with evolved surface?

The fully benefit of the interpretation of the obtained results will be accomplished within the collaborations with more experienced colleagues from institutes on which the members of the team developed important collaborations in the last 5 years.

Study of the Anisotropic Flow in Relativistics Heavy Ion Physics using Graphics Processing Unit Call name: Projects for Young Research Teams - TE-2011 call
PN-II-RU-TE-2011-3-0279 2011 - 2014

Role in this project: Key expert

Coordinating institution: Institutul de Stiinte Spatiale - Filiala INFLPR

Project partners: Institutul de Stiinte Spatiale - Filiala INFLPR (RO)

Affiliation: Institutul de Stiinte Spatiale - Filiala INFLPR (RO)

Project website: http://www2.spacescience.ro/projects/snow-gpu/

Abstract:

Interactions between heavy ions at ultra-relativistic energies offer the possibility to explore the phase transition from hadronic matter to quark gluon plasma. This new state of matter was created in the first microseconds after Big Bang. One of the most successful descriptions of QGP formation was made using hydrodynamic models building a Equation of State for the nuclear environment. Experimental evidence for this model came from the study of anisotropic flow of the participant region in nucleus-nucleus collisions. Anisotropic flow arises from the geometry of interaction from which an almond like shape of the fireball results. One of the main challenges in Heavy Ion Physics is to make fast analysis of high amount of experimental and simulated data. The time taken to analyze the data and obtain fast results depends on high computational power. The classical approach is to build expensive clusters with large numbers of processors in order to reduce the time needed to analyze the data. The main advantage of using GPU programming over traditional CPU one is that graphical cards bring a lot of computing power at a very low price. Today a huge number of application begun to be ported or developed for GPU usage, including Monte Carlo tools or data analysis tools for High Energy Physics. In this project we aim to study the behavior of anisotropic flow in nucleus-nucleus interactions from different experimental data with the help of new tools developed using GPU programming.

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