プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Dr. Mohamad A.に依頼

Lebanon

AI & Geospatial Intelligence Specialist Advancing Environmental and Agricultural Innovation

プロフィール概要

Prof. Mohamad Awad earned his BSc. and MSc. degrees in Computer Science from the Lebanese American University in 1988 and 2001 respectively. He earned his PhD from the University of Rennes 1, France in Signal processing and Telecommunication in May 2008. Prof. Awad has been working for the Lebanese National Council for Scientific Research since January 1996. His rank in CNRS nowadays is Research Director. Prof. Awad has many published refereed research papers in different domains and disciplines such as image processing, environment, natural resources management, mapping crops, mapping evapotranspiration, climate change using GIS, Remote Sensing, and Computer Science (more than 80 publications). His current subject of research is satellite image processing such as image segmentation and fusion. In addition to his research activities Prof. Awad teaches in the Lebanese University. Prof. Awad is a senior member of many international organizations such as IEEE . Prof. Awad is a reviewer for many well known journals and conferences with many awards.

専門分野

• ☆ Agronomy & Crop Science
• ☆ Forestry
• ☆ Remote Sensing
• ☆ Data Analysis
• ☆ Neural Networks
• ☆ Deep Learning
• ☆ Earth & Atmospheric Science

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Non-Medical Regulatory Writing, Technical Writing, Copywriting, Creative Writing

Research Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-ML

Product Development Product Evaluation, Reverse Engineering

職務経験

Professor

Lebanese University

9月 2008 - 現在

Research Director

National Council for Scientific Research

1月 1996 - 現在

Visinting Scientist

LATMOS laboratory

9月 2025 - 10月 2025

Visinting Scientist

Institut National de la Recherche Scientifique (INRS)

7月 2024 - 10月 2025

Visting Professor

George Mason University

6月 2010 - 12月 2010

lecturer

American University of Beirut

9月 2009 - 6月 2010

COM operator

NCR Canada

10月 1989 - 9月 1994

学歴

Ph.D.

Université Rennes I - France

9月 2004 - 5月 2008

M.Sc (Master of Science)

Lebanese American University

9月 1998 - 6月 2000

B.Sc.

Lebanese American University

9月 1985 - 6月 1988

認定資格

• Certified Netware Engineering

  Novell inc.

  9月 1994 - 6月 1995

出版物

JOURNAL ARTICLE

Mohamad M. Awad, Saeid Homayouni (2025). High-Resolution Daily XCH4 Prediction Using New Convolutional Neural Network Autoencoder Model and Remote Sensing Data . Atmosphere.

Mohamad M. Awad, Saeid Homayouni (2025). High-Resolution Daily XCH₄ Prediction Using New Convolutional Neural Network Autoencoder Model and Remote Sensing Data . Atmosphere.

Mohamad M. Awad (2024). A New Winter Wheat Crop Segmentation Method Based on a New Fast-UNet Model and Multi-Temporal Sentinel-2 Images . Agronomy.

Mohamad M. Awad (2024). A New Winter Wheat Crop Segmentation Method Based on a New Fast-UNet Model and Multi-Temporal Sentinel-2 Images . Agronomy.

Mohamad M. Awad (2023). FlexibleNet: A New Lightweight Convolutional Neural Network Model for Estimating Carbon Sequestration Qualitatively Using Remote Sensing . Remote Sensing.

Mohamad M. Awad (2023). FlexibleNet: A New Lightweight Convolutional Neural Network Model for Estimating Carbon Sequestration Qualitatively Using Remote Sensing . Remote Sensing.

B. Al-Awar and M. M. Awad and L. Jarlan and D. Courault(2022). Evaluation of Nonparametric Machine-Learning Algorithms for an Optimal Crop Classification Using Big Data Reduction Strategy . Remote Sensing in Earth Systems Sciences. Springer Science and Business Media {LLC}

Mohamad M. Awad(2022). Evaluation of COVID-19 Reported Statistical Data Using Cooperative Convolutional Neural Network Model (CCNN) . COVID. 2. (5). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 674--690. {MDPI} {AG}

Mohamad M. Awad (2022). Evaluation of COVID-19 Reported Statistical Data Using Cooperative Convolutional Neural Network Model (CCNN) . COVID.

Mohamad M. Awad, Marco Lauteri (2021). Self-Organizing Deep Learning (SO-UNet)—A Novel Framework to Classify Urban and Peri-Urban Forests . Sustainability.

Mohamad M. Awad, Marco Lauteri (2021). Self-Organizing Deep Learning (SO-UNet)—A Novel Framework to Classify Urban and Peri-Urban Forests . Sustainability.

(2020). Cooperative evolutionary classification algorithm for hyperspectral images . Journal of Applied Remote Sensing.

Awad, M.M.(2020). Cooperative evolutionary classification algorithm for hyperspectral images . Journal of Applied Remote Sensing. 14. (1).

Mohamad M. Awad(2019). An innovative intelligent system based on remote sensing and mathematical models for improving crop yield estimation . Information Processing in Agriculture. 6. (3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 316--325. Elsevier {BV}

(2019). A 32-year aridity analysis: a tool for better understanding on water resources management in Lebanon . Acta Geophysica.

(2019). HYPERSPECTRAL REMOTE SENSING ROLE IN ENHANCING CROP MAPPING: A COMPARISON BETWEEN DIFFERENT SUPERVISED SEGMENTATION ALGORITHMS . SWS Journal of EARTH AND PLANETARY SCIENCES.

(2019). A New Crop Spectral Signatures Database Interactive Tool (CSSIT) . Data.

Mohamad M. Awad, Bassem Alawar, Rana Jbeily (2019). A New Crop Spectral Signatures Database Interactive Tool (CSSIT) . Data.

Mohamad M. Awad, Bassem Alawar, Rana Jbeily (2019). A New Crop Spectral Signatures Database Interactive Tool (CSSIT) . Data.

Mohamad M. Awad (2019). Toward Precision in Crop Yield Estimation Using Remote Sensing and Optimization Techniques . Agriculture.

(2019). Analysis of heterogeneity of aridity index periodicity over Lebanon . Acta Geophysica.

Telesca, L., Shaban, A., Awad, M.(2019). Analysis of heterogeneity of aridity index periodicity over Lebanon . Acta Geophysica. 67. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 167-176.

Awad, M.M.(2019). Toward precision in crop yield estimation using remote sensing and optimization techniques . Agriculture (Switzerland). 9. (3).

Shaban, A., Awad, M., Ghandour, A.J., Telesca, L.(2019). A 32-year aridity analysis: a tool for better understanding on water resources management in Lebanon . Acta Geophysica. 67. (4). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1179-1189.

Awad, M.M., Alawar, B., Jbeily, R.(2019). A new crop spectral signatures database interactive tool (CSSIT) . Data. 4. (2).

Awad, M.M.(2019). An innovative intelligent system based on remote sensing and mathematical models for improving crop yield estimation . Information Processing in Agriculture. 6. (3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 316-325.

(2018). Forest mapping: a comparison between hyperspectral and multispectral images and technologies . Journal of Forestry Research.

(2018). Soil Forest Ecosystem and Forest Fire Effect on Soil Organic Carbon Stock in Lebanon . Journal of Life Sciences.

Awad, M.M.(2018). Forest mapping: a comparison between hyperspectral and multispectral images and technologies . Journal of Forestry Research. 29. (5). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1395-1405.

(2017). Toward Robust Segmentation Results Based on Fusion Methods for Very High Resolution Optical Image and LiDAR Data . IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Awad, M.M.(2017). Toward Robust Segmentation Results Based on Fusion Methods for Very High Resolution Optical Image and LiDAR Data . IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10. (5). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 2067-2076.

(2015). Suitability Analysis for Stone pine Reforestation using Geospatial Technologies . International Journal of Advanced Remote Sensing and GIS.

(2014). Sea water chlorophyll-a estimation using hyperspectral images and supervised Artificial Neural Network . Ecological Informatics.

(2014). Improved Capability in Stone Pine Forest Mapping and Management in Lebanon Using Hyperspectral CHRIS-Proba Data Relative to Landsat ETM+ . Photogrammetric Engineering & Remote Sensing.

Awad, M.(2014). Sea water chlorophyll-a estimation using hyperspectral images and supervised Artificial Neural Network . Ecological Informatics. 24. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 60-68.

Awad, M., Jomaa, I., Arab, F.(2014). Improved capability in stone pine forest mapping and management in lebanon using hyperspectral CHRIS-proba data relative to Landsat ETM+ . Photogrammetric Engineering and Remote Sensing. 80. (8). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 725-731.

(2013). A Morphological Model for Extracting Road Networks from High-Resolution Satellite Images . Journal of Engineering.

Awad, M.M.(2013). A Morphological Model for Extracting Road Networks from High-Resolution Satellite Images . Journal of Engineering (United Kingdom). 2013.

(2013). Improving Satellite Image Segmentation Using Evolutionary Computation . American Journal of Remote Sensing.

(2012). A new geometric model for clustering high-resolution satellite images . International Journal of Remote Sensing.

Awad, M.M.(2012). A new geometric model for clustering high-resolution satellite images . International Journal of Remote Sensing. 33. (18). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 5819-5838.

Awad, M.(2010). An unsupervised artificial neural network method for satellite image segmentation . International Arab Journal of Information Technology. 7. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 199-205.

(2009). Web Based Meta-database and its Role in Improving Water Resources Management in the Mediterranean Basin . Water Resources Management.

(2009). Satellite image segmentation using hybrid variable genetic algorithm . International Journal of Imaging Systems and Technology.

(2009). Optimization of GIS analysis using hybrid genetic algorithm . OPSEARCH.

(2009). Multi-component image segmentation using a hybrid dynamic genetic algorithm and fuzzy C-means . IET Image Processing.

(2009). Multicomponent image segmentation: a comparative analysis between a hybrid genetic algorithm and self‐organizing maps . International Journal of Remote Sensing.

Awad, M.M., Chehdi, K., Nasri, A.(2009). Multicomponent image segmentation: A comparative analysis between a hybrid genetic algorithm and self-organizing maps . International Journal of Remote Sensing. 30. (3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 595-610.

Awad, M.M., Chehdi, K.(2009). Satellite image segmentation using hybrid variable genetic algorithm . International Journal of Imaging Systems and Technology. 19. (3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 187-198.

Awad, M., Chehdi, K., Nasri, A.(2009). Multi-component image segmentation using a hybrid dynamic genetic algorithm and fuzzy C-means . IET Image Processing. 3. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 52-62.

Awad, M.M.(2009). Optimization of GIS analysis using hybrid genetic algorithm . OPSEARCH. 46. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 238-245.

Awad, M., Khawlie, M., Darwich, T.(2009). Web based meta-database and its role in improving water resources management in the Mediterranean basin . Water Resources Management. 23. (13). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 2669-2680.

(2008). Monitoring water quality in the coastal area of Tripoli (Lebanon) using high-resolution satellite data . ISPRS Journal of Photogrammetry and Remote Sensing.

Kabbara, N., Benkhelil, J., Awad, M., Barale, V.(2008). Monitoring water quality in the coastal area of Tripoli (Lebanon) using high-resolution satellite data . ISPRS Journal of Photogrammetry and Remote Sensing. 63. (5). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 488-495.

(2007). Multicomponent Image Segmentation Using a Genetic Algorithm and Artificial Neural Network . IEEE Geoscience and Remote Sensing Letters.

Awad, M., Chehdi, K., Nasri, A.(2007). Multicomponent image segmentation using a genetic algorithm and artificial neural network . IEEE Geoscience and Remote Sensing Letters. 4. (4). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 571-575.

Mansour, N., Awad, M., & El-Fakih, K. (2006). Incremental genetic algorithm. The International Arab Journal of Information Technology, 3(1), 42-47 .

(2005). Hydrological and watershed characteristics of the El-Kabir River, North Lebanon . Lakes and Reservoirs: Research and Management.

Shaban, A., Khawlie, M., Abdallah, C., Awad, M.(2005). Hydrological and watershed characteristics of the El-Kabir River, North Lebanon . Lakes and Reservoirs: Research and Management. 10. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 93-101.

(2002). Remote sensing for environmental protection of the eastern Mediterranean rugged mountainous areas, Lebanon . ISPRS Journal of Photogrammetry and Remote Sensing.

Khawlie, M., Awad, M., Shaban, A., Kheir, R.B., Abdallah, C.(2002). Remote sensing for environmental protection of the eastern Mediterranean rugged mountainous areas, Lebanon . ISPRS Journal of Photogrammetry and Remote Sensing. 57. (1-2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 13-23.

CONFERENCE PAPER

Awad, M.M.(2018). Crop mapping using hyperspectral data and technologies-a comparison between different supervised segmentation algorithms . International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. 18. (2.3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 89-96.

Awad, M.M., Al-Aawar, B.(2018). Optimization of crop yield estimation based on remote sensing and new mathematical model . International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. 18. (2.2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 347-354.

Awad, M.(2016). New mathematical models to estimate wheat Leaf Chlorophyll Content based on Artificial Neural Network and remote sensing data . 2016 IEEE International Multidisciplinary Conference on Engineering Technology, IMCET 2016. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 86-91.

(2011). Optimization of spectral signatures selection using multi-objective genetic algorithms . 2011 IEEE Congress of Evolutionary Computation (CEC).

Awad, M.M., De Jong, K.(2011). Optimization of spectral signatures selection using multi-objective genetic algorithms . 2011 IEEE Congress of Evolutionary Computation, CEC 2011. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1620-1627.

(2009). Satellite image segmentation using Self- Organizing Maps and Fuzzy C-Means . 2009 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).

M. Awad and Talal K. Darwich(2009). EVALUATING SEA WATER QUALITY IN THE COASTAL ZONE OF NORTH LEBANON USING TELEMAC-2 DTM.

Awad, M.M., Nasri, A.(2009). Satellite image segmentation using self-organizing maps and fuzzy C-means . IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 398-402.

(2008). Enhancement of the segmentation process of multi-component images using fusion with Genetic Algorithm . 2008 5th International Multi-Conference on Systems, Signals and Devices.

Awad, M., Chehdi, K., Nasri, A.(2008). Enhancement of the segmentation process of multi-component images using fusion with genetic algorithm . 2008 5th International Multi-Conference on Systems, Signals and Devices, SSD'08.

T. Darwish and Ihab Jomaa and M. Awad and R. Boumetri(2008). PRELIMINARY CONTAMINATION HAZARD ASSESSMENT OF LAND RESOURCES IN CENTRAL BEKAA PLAIN OF LEBANON.

BOOK CHAPTER

Awad, M.M.(2018). Current and future trends in segmenting satellite images using hybrid and dynamic genetic algorithms . Hybrid Metaheuristics for Image Analysis. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1-31.

(2018). Physical Characteristics and Water Resources of the Litani River Basin . Water Science and Technology Library.

(2010). Segmentation of Satellite Images Using Self-Organizing Maps . Self-Organizing Maps.

EDITED BOOK

Awad M., Crimi J., Giupponi C., Khawlie M., Sgobbi A. Availability and accuracy of Mediterraneandatabases relevant to agricultural water uses. In : Lamaddalena N. (ed.), Bogliotti C. (ed.), TodorovicM. (ed.), Scardigno A. (ed.). Water saving in Mediterranean agriculture and future research needs [Vol. 2]. Bari : CIHEAM, 2007. p. 229-238 (Options Méditerranéennes : Série B. Etudes et Recherches; n. 56Vol.II) .