Key Research Areas

• • • Remote sensing for the environment.

    • Ocean optics research.

    • Ocean color remote sensing.

    • Satellite product algorithm development.

    • Artificial intelligence for environmental modeling and prediction.

    • Climate modeling.

    • Climate change impact assessment.

    • Flood pattern investigation for mitigation strategies.

    • Water and wastewater research.

    • Data science for water resource management.

In-Press Publications 

• • S. I. Salem*, H. Higa, E. Siswanto, and S. Son. Detection of Karenia Brevis Blooms on the Gulf of Mexico Integrating Sentinel-3 OLCI Data and Deep Learning Model. (Submitted to Harmful Algae, Elsevier)

Peer-reviewed Journal Papers 

• • Nikolay P. Nezlin, S. Son, S. I. Salem and M. E. Ondrusek (2025). Chlorophyll-a in the Chesapeake Bay Estimated by Extra-Trees Machine Learning Modeling. Remote Sensing, MDPI. DOI: doi.org/10.3390/rs17132151  Scopus    WOS    IF:4.2    Q1 

  • Misganaw Choto, Hiroto Higa, S. I. Salem, Eko Siswanto, Takayuki Suzuki and Martin Mäll (2025). Performance Evaluation of Inherent Optical Property Algorithms and Identification of Potential Water Quality Indicators Using GCOM-C Data in Eutrophic Lake Kasumigaura, Japan. Remote Sensing, MDPI. DOI: doi.org/10.3390/rs17091621  Scopus    WOS    IF:4.2    Q1 

  • M. Salah, S. I. Salem*, N. Utsumi, H. Higa, J. Ishizaka, K. Oki (2025). 3LATNet: Attention based deep learning model for global Chlorophyll-a retrieval from GCOM-C satellite. ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier. DOI: doi.org/10.1016/j.isprsjprs.2024.12.019  Scopus    WOS    IF:10.6    Q1 

  • S. I. Salem*, M. Toratani, H. Higa, S. Son, E. Siswanto, J. Ishizaka (2025). Long-Term Evaluation of GCOM-C/SGLI Reflectance and Water Quality Products: Variability Among JAXA G-Portal and JASMES. Remote Sensing, MDPI. DOI: doi.org/10.3390/rs17020221  Scopus    WOS    IF:4.2    Q1 

  • S. I. Salem*, S. Shirayama, S. Shimazaki, K. Oki (2024). Ensemble deep learning and anomaly detection framework for automatic audio classification: Insights into deer vocalizations. Ecological Informatics, Elsevier. DOI: doi.org/10.1016/j.ecoinf.2024.102883   Scopus    WOS    IF:5.9    Q1 

  • H. Higa, M. Muto, S. I. Salem, H. Kobayashi, J. Ishizaka, K. Ogata, M. Toratani, K. Takahashi, F. Maupin, and S. Victori (2024). Optical Characterization of Coastal Waters with Atmospheric Correction Errors: Insights from SGLI and AERONET-OC. Remote Sensing, MDPI. DOI: doi.org/10.3390/rs16193626   Scopus    WOS    IF:4.2    Q1 

  • M. Lohachov, R. Korei, K. Oki, K. Yoshida, I. Azechi, S. I. Salem, and N. Utsumi (2024). RNN-Based Approach for Broccoli Harvest Time Forecast. Agronomy. DOI: doi.org/10.3390/agronomy14020361  Scopus    WOS    IF:3.7    Q1  

  • S. I. Salem*, H. Higa, J. Ishizaka, N. Pahlevan, K. Oki (2023). Spectral band-shifting of multispectral remote-sensing reflectance products: Insights for matchup and cross-mission consistency assessments. Remote Sensing of Environment, Elsevier. DOI: doi.org/10.1016/j.rse.2023.113846  Scopus    WOS    IF:13.5    Q1   

  • M. Salah, H. Higa, J. Ishizaka, S. I. Salem* (2023). 1D Convolutional Neural Network-based Chlorophyll-a Retrieval Algorithm for Sentinel-2 MultiSpectral Instrument in Various Trophic States. Sensors and Materials. DOI: doi.org/10.18494/SAM4331  Scopus    WOS    IF:1.4    Q4   

  • M. K. Lehmann, .... , S. I. Salem, et al., (2023) GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality. Scientific Data, Nature. DOI: doi.org/10.1038/s41597-023-01973-y   Scopus    WOS    IF:9.8    Q1  

  • H. Higa, R. Ideno, S. I. Salem, H. Kobayashi (2023). Uncertainty Analysis of Particle Backscattering Coefficient Measurement for Multiple Highly Turbid Water Areas in Ocean Color Remote Sensing. Sensors and Materials. DOI: doi.org/10.18494/SAM4576   Scopus    WOS    IF:1.2    Q4  

  • K. Oki, M. Masayasu, O. Tadanobu, S. I. Salem (2022). Development of Methods for Estimating Deer Population Size with Ground and Remote Sensing Techniques. Low Temperature Science. 80 477-482. Doi: doi.org/10.14943/lowtemsci.80.477 

  • S. I. Salem*, K. Fujisao, M. Maki, T. Okumura, and K. Oki (2021). Detecting and Tracking the Positions of Wild Ungulates Using Sound Recordings. Sensors. 21, 866. DOI: doi.org/10.3390/s21030866   Scopus    WOS    IF:3.9    Q2  

  • H. Higa, K. Fujita, S. I. Salem, T. Suzuki, Y. Nakamura (2021). Synthetic Data Generation Method for Ocean Color Remote Sensing Considering Complex Optical Properties Of Coastal Areas 海色リモートセンシングにおける沿岸域の複雑な光学特性を考慮した合成データ構築法の提案. Journal of Japan Society of Civil Engineers Ser B2 (Coastal Engineering) DOI: doi.org/10.2208/kaigan.77.2_I_391 

  • H. Higa, S. Sugahara, S. I. Salem, Y. Nakamura and T. Suzuki, (2020). An estimation method for blue tide distribution in Tokyo Bay based on sulfur concentrations using Geostationary Ocean Color Imager (GOCI). Estuarine, Coastal and Shelf Science, Elsevier. 235, 106615. DOI: doi.org/10.1016/j.ecss.2020.106615   Scopus    WOS    IF:2.8    Q1  

  • K. Oki, M. Maki, T. Okumura, and S. I. Salem, (2019). Development of Deer Population Size Estimation Method with Ground and Remote Sensing. Journal of The Remote Sensing Society of Japan. 39, 384. DOI:doi.org/10.11440/rssj.39.384 

  • S. I. Salem*, H. Higa, H. Kim, K. Kazuhiro, H. Kobayashi, K. Oki, and T. Oki, (2017). Multi-Algorithm Indices and Look-Up Table for Chlorophyll-a Retrieval in Highly Turbid Water Bodies Using Multispectral Data. Remote Sensing. 9, 556. DOI: doi.org/10.3390/RS9060556   Scopus    WOS    IF:5.0    Q1  

  • S. I. Salem*, H. Higa, H. Kim, H. Kobayashi, K. Oki, and T. Oki, (2017). Assessment of Chlorophyll-a Algorithms Considering Different Trophic Statuses and Optimal Bands. Sensors. 2017, 1746. DOI: doi.org/10.3390/S17081746   Scopus    WOS    IF:5.0    Q1  

  • S. I. Salem*, M. Strand, H. Higa, H. Kim, K. Kazuhiro, K. Oki, and T. Oki, (2017). Evaluation of MERIS chlorophyll-a retrieval processors in a complex turbid Lake Kasumigaura through 10-year mission. Remote Sensing. 9, 1022. DOI: doi.org/10.3390/RS9101022  Scopus    WOS    IF:5.0    Q1  

  • S. I. Salem*, M. Mostafa, and W. Ibrahim, (2014). Influence of Different Chlorine Injection Methods on the Filamentous Bulking Problem. International Journal of Chemical, Environmental and Biological Sciences. Volume 2, Issue 1, Pages 7–11. [Link]

Journal Proceedings

• • M. Salah, H. Higa, J. Ishizaka, S. I. Salem*. B1D-CNN: A Novel Convolution Neural Network-Based Chlorophyll-a Retrieval Algorithm for Sentinel-2 Data. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2023), 2023. DOI: doi.org/10.1109/IGARSS52108.2023.10281795.   Scopus    WOS  

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* Corresponding Author     Scopus  : Scopus Indexed.    WOS  : Web of Science Indexed.      IF  : Impact Factor.     Q   : Quartiles.   

Data Publications:

• • M. K. Lehmann, .... , Salem Ibrahim Salem, et al., "GLORIA - A global dataset of remote sensing reflectance and water quality from inland and coastal waters." PANGAEA, 19-Sep-2022. DOI: doi.org/10.1594/PANGAEA.948492 [Link]

Conference proceedings:

• • K. Fujita, H. Higa and S. I. Salem, 2019. Development of bio-optical model based on optical property classification of phytoplankton by hierarchical clustering. The 67th Autumn Conference of the Remote Sensing Society of Japan.

  • Salem, I. S., H. Higa, K. Kazuhiro, and K. Oki, 2017. A Novel Chlorophyll-a Retrieval Technique in Highly Turbid Water Using Multi-Algorithm Indices with Look-Up Table. The 63rd Autumn Conference of the Remote Sensing Society of Japan.

Teaching Experience 

As a Junior Associate professor at Faculty of Engineering of KUAS, Japan, I teach :

• Numerical Analysis Programming (MATLAB)       (2020 – Present) – Undergraduate Level
  Design and present 15 lectures semiannually; focusing on MATLAB skills and applications.

• Fundamental Mechanics      (2021 – Present) – Undergraduate Level
  Design and present 5 lectures; utilizing MATLAB's symbolic application in Mechanics.

• Seminar on Future Design      (2021 – Present) – Undergraduate Level
  Design and present 2 lectures; highlighting recent advances in Earth observation.

• Algorithmic Thinking with Python      (2021 – Present) – Undergraduate Level
  Assist in 30 lectures with exercises; focusing on Python skills for problem-solving.

• Introduction to Sensors      (2022 – Present) – Undergraduate Level
  Design and present 2 lectures; covering sensor principles with engineering applications.

• Mechatronics Laboratory (Basic Robotics)      (2022 – Present) – Undergraduate Level
  Assist in 15 lectures; covering the design of line-tracking robots.

• Remote Sensing and Environment      (2021 – Present) – Graduate Level
  Design and present 9 lectures; introducing satellites and sensors with their applications for Earth observation.

• Advanced Mechanical and Electrical Systems      (2021 – Present) – Graduate Level
  Design and present 3 lectures; focusing on mechanical applications in Earth observation and satellite imaging.

As a Postdoctoral Researcher at The University of Tokyo, Japan, I teach :

• Environmental Science      (2018) – Graduate Level
  Design and present 5 lectures; discussing environmental conservation and sustainable engineering.

As a Teaching Assistant and Assistant Lecturer at Alexandria University, Egypt, I delivered the exercises sections for the following classes :

• Water and Wastewater Treatment.

• Advanced Wastewater Treatment. 

• Environmental Science. 

• Air and Noise Pollution. 

• Computer Applications in Civil Engineering (Fortran).

Editorial Board / Reviewer

I serve as a Review Board  member of 

•     Remote sensing,  MDPI [Link]

•     Ocean Observation Editorial Board, Frontiers of Marine Science Journal [Link] [Link]

    List of journals for which I act as ad-hoc reviewer :

• • Applied Science, MDPI. (ISSN: 2076-3417) 

  • Remote Sensing, MDPI. (ISSN: 2072-4292)

  • Journal of The Remote Sensing Society of Japan. (ISSN-L: 0289-7911)

  • ISPRS Journal of Photogrammetry and Remote Sensing (ISSN: 0924-2716)

  • International Journal of Remote Sensing, Taylor & Francis. (ISSN:   0143-1161)

  • International Journal of Environmental Research and Public Health, MDPI. (ISSN: 1660-4601) 

    My Publons profile [Link]