プロフィール詳細

プロジェクトを作成

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Dr. Kamal M.に依頼

Azerbaijan

Multidisciplinary R&D Scientist | Remote Sensing & Aerospace | Smart Grids and Renewable Energy | AI & Data Science

プロフィール概要

I am a PhD-level consultant and researcher specializing in translating complex scientific data into actionable commercial and technical strategies. My background is combination of Aerospace (Earth Observation), Renewable Energy, and Machine Learning. I provide high-level advisory services, research methodology design, and technical validation for enterprises, agritech firms, and research institutions. Main Advisory Offerings: 1. Applied AI / Machine Learning Strategy Architecture Evaluation: I review and advise on the deployment of machine learning and deep learning models (built on PyTorch, NumPy, and Pandas) designed specifically for spatial, temporal, and remote sensing datasets (but not limited to). Data Fusion Consulting: I guide teams on how to effectively merge disparate datasets (e.g., combining SAR and optical data) to train highly accurate predictive models. Pattern Recognition: I provide specialized advice on feature extraction, texture analysis, and pixel-wise data compression for complex hyperspectral imaging. 2. Aerospace, Earth Observation & Precision Agriculture Feasibility & System Design: I advise on the selection, retrieval, and processing design of multispectral, hyperspectral, SAR, and PMW satellite data (including Sentinel-1/2, PRISMA, TerraSAR-X, and SMOS). Agritech Strategy: Drawing from my active work on advanced agritech initiatives like the AI4AGRI project, I consult on remote sensing applications for crop identification, and vegetation validation metrics. Methodology Validation: I assist companies in designing ground-based validation frameworks to ensure satellite data accuracy matches real-world metrics.

専門分野

• ☆ Remote Sensing
• ☆ Data Analysis
• ☆ Computer Simulation/Computational Modeling
• ☆ Predictive Modeling & Analytics
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Machine Learning
• ☆ Neural Networks
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Earth & Atmospheric Science
• ☆ Climate Science
• ☆ Renewable Energy
• ☆ Radar
• ☆ Information Retrieval

サービス

• Writing

Writing Technical Writing

職務経験

Researcher

Transilvania University of Brasov

10月 2022 - 12月 2025

学歴

Ph.D (Electronics & Computers)

Transilvania University of Brasov

10月 2022 - 7月 2025

Master's Degree (Electronics & Computers)

Transilvania University of Brasov

10月 2020 - 7月 2022

Bachelor's Degree (Electronics, Telecommunication, and Radio Engineering)

National Aviation Academy

9月 2016 - 7月 2020

認定資格

• 認定資格の詳細は未入力です。

出版物

CONFERENCE PAPER

K. Marandskiy, A. Racoviţeanu, I. Plajer, M. Debu, A. Kazak and M. Ivanovici, "Ship Detection and Statistics in Constanta Anchorage Using Sentinel-1 Data," 2025 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), Chisinau, Moldova, Republic of, 2025, pp. 1-5, doi: 10.1109/BlackSeaCom65655.2025.11193909 .

Marandskiy, K., Racoviteanu, A., Plajer, I., Debu, M., Kazak, A., Ivanovici, M.(2025). Ship Detection and Statistics in Constanta Anchorage Using Sentinel-1 Data . 2025 IEEE International Black Sea Conference on Communications and Networking Blackseacom 2025.

Racoviteanu, A., Debu, M., Marandskiy, K., Oprisescu, S., Florea, C., Ivanovici, M.(2025). Anomaly Detection on Water Bodies in SAR Data using Multi-Scale Features and Clustering . 2025 International Conference on Machine Intelligence for Geoanalytics and Remote Sensing Migars 2025.

Kamal Marandskiy, Mihai Ivanovici, Stefan Popa (2024). Machine Learning-Based Classification of Sentinel-1 Backscattering Coefficients Using Generated Plant Schematics . IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium.

Marandskiy, K., Ivanovici, M.(2024). Early Identification of Potato Fields using Data Fusion and Artificial Neural Network . 2024 16th International Symposium on Electronics and Telecommunications Isetc 2024 Conference Proceedings.

Marandskiy, K., Ivanovici, M., Popa, S.(2024). Machine Learning-Based Classification of Sentinel-1 Backscattering Coefficients Using Generated Plant Schematics . International Geoscience and Remote Sensing Symposium IGARSS. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1535-1539.

K. Marandskiy, M. Ivanovici, S. Corcodel, S. Costache (2023). Multispectral Fractal Image Analysis for Soil Roughness Estimation at Various Altitudes . 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS).

M. Ivanovici, K. Marandskiy (2023). Exponential Feature Extraction and Learning for Pixel-Wise Hyperspectral Image Compression . IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium.

M. Ivanovici, S. Oprisescu, R.M. Coliban, K. Marandskiy (2023). Exponential Features in the Fourier Domain for Prisma Hyperspectral Image Segmentation . IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium.

M. Ivanovici, S. Oprisescu, R.M. Coliban, K. Marandskiy (2023). Exponential Features in the Fourier Domain for Prisma Hyperspectral Image Segmentation . IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium.

Kamal Marandskiy, Mihai Ivanovici (2023). Soil Roughness Estimation Using Fractal Analysis on Digital Images of Soil Surface . 2023 International Symposium on Signals, Circuits and Systems (ISSCS).

Kamal Marandskiy, Mihai Ivanovici (2023). Hyperspectral Image Visualization Based on Maximum-Reflectance Wavelength Colorization . 2023 17th International Conference on Engineering of Modern Electric Systems (EMES).

Marandskiy, K., Ivanovici, M., Corcodel, S., Costache, S.(2023). Multispectral Fractal Image Analysis for Soil Roughness Estimation at Various Altitudes . Workshop on Hyperspectral Image and Signal Processing Evolution in Remote Sensing.

Ivanovici, M., Marandskiy, K.(2023). Exponential Feature Extraction and Learning for Pixel-Wise Hyperspectral Image Compression . International Geoscience and Remote Sensing Symposium IGARSS. 2023-July. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1775-1778.

Marandskiy, K., Ivanovich, M.(2023). Soil Roughness Estimation Using Fractal Analysis on Digital Images of Soil Surface . 2023 International Symposium on Signals Circuits and Systems Isscs 2023.

Marandskiy, K., Ivanovici, M.(2023). Hyperspectral Image Visualization Based on Maximum-Reflectance Wavelength Colorization . 2023 17th International Conference on Engineering of Modern Electric Systems Emes 2023.

Ivanovici, M., Oprisescu, S., Coliban, R.M., Marandskiy, K.(2023). Exponential Features in the Fourier Domain for Prisma Hyperspectral Image Segmentation . International Geoscience and Remote Sensing Symposium IGARSS. 2023-July. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 6089-6092.

JOURNAL ARTICLE

A. Băicoianu, I. C. Plajer, M. Debu, M. Ștefan, M. Ivanovici, C. Florea, A. Cațaron, R. M. Coliban, Ș. Popa, Ș. Oprișescu, et al. (2025). DACIA5: a Sentinel-1 and Sentinel-2 dataset for agricultural crop identification applications . Big Earth Data.

Băicoianu, A., Plajer, I.C., Debu, M., Ștefan, M., Ivanovici, M., Florea, C., Cațaron, A., Coliban, R.M., Popa, Ș., Oprișescu, Ș., et al.(2025). DACIA5: a Sentinel-1 and Sentinel-2 dataset for agricultural crop identification applications . Big Earth Data. 9. (4). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1226-1257.

M. Ivanovici, K. Marandskiy, G. Olteanu, A. Manea, L. Dogar (2024). A Framework for Innovation in Earth Observation Applications for Agriculture . Bulletin of the Transilvania University of Brasov. Series I - Engineering Sciences.

M. Ivanovici, S. Popa, K. Marandskiy, C. Florea (2024). Deep automatic soil roughness estimation from digital images . European Journal of Remote Sensing.

Ivanovici, M., Popa, S., Marandskiy, K., Florea, C.(2024). Deep automatic soil roughness estimation from digital images . European Journal of Remote Sensing. 57. (1).

CONFERENCE PROCEEDINGS

Kamal Marandskiy, Mihai Ivanovici (2024). Early Identification of Potato Fields using Data Fusion and Artificial Neural Network . 2024 International Symposium on Electronics and Telecommunications (ISETC).

BOOK CHAPTER

Ivanovici, M., Olteanu, G., Florea, C., Coliban, R.-M., Ștefan, M., Marandskiy, K.(2024). Digital Transformation in Agriculture . Intelligent Systems Reference Library. 257. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 157-191.

Kamal Marandskiy, Mihai Ivanovici, Gheorghe Olteanu, Corneliu Florea, Radu-Mihai Coliban, Maria Ștefan (2024). Digital Transformation in Agriculture . Intelligent Systems Reference Library.