Assistant Professor ALSAWAF, Mohamad Basel
Faculty, Affiliation
Faculty of Geosciences and civil Engineering,Institute of Science and Engineering Department of Earth and Social Infrastructure Science
Assistant Professor
College and School Educational Field
Division of Geosciences and Civil Engineering, Graduate School of Natural Science and Technology
School of Geosciences and Civil Engineering, College of Science and Engineering
Laboratory
River and Coastal Engineering TEL: FAX:
Academic Background
【Academic background(Doctoral/Master's Degree)】
Hiroshima University Doctor Graduate School of Engineering 201809
Career
Kanazawa University(2024/10-)
Kitami Institute of Technology Faculty of Engineering Department of Civil and Environmental Engineering Assistant professor(2022/08-2024/09)
Hiroshima University Graduate School of Engineering Assistant Professor(2020/04/01-2022/07/31)
Hiroshima University Graduate School of Engineering researcher(2018/10/01-2020/03/31)
Hiroshima University Graduate school of engineering Research assistant(2015/10-2018/09)
Year & Month of Birth
Academic Society
Japan Society of Civil Engineers, Hydraulic Engineering Committee member
International Association for Hydro-Environment Engineering and Research
Award
○Best Paper Award(2024/05)
○Hiroshima University Excellent Student(2017/12)
○Distinguished paper award(2017/11)
Specialities
Hydraulic engineering
Speciality Keywords
machine learning,Flood risk analysis,Flood analysis,Hydroacoustics,Civil engineering,Big data analysis,Hydraulics,Hydrology,Water resources
Research Themes
Advanced analysis reveals diversity in rainfall patterns
To interpret the diversity and variability of rainfall patterns that have evolved in recent years, we implemented an innovative model to determine whether a rainfall event is extreme or not. Briefly, based on a certain threshold, we encode the dangerous daily rainfall data as 1 or 0, and then group them into words of several bits. The generated words reveal the variability of daily rainfall patterns throughout the year, thereby shedding light on extreme or non-extreme periods and filtering out transitional periods that did not manifest as dangerous events.
Improvement of river flow measurement techniques using tomography
Tomography techniques have proven to be a more effective tool for river flow measurement than traditional methods. By integrating multiple sensors of the FAT system at a river site, we are enhancing the modality of tomography measurements. This integration provides complementary data, such as flow direction and intensity, from various angles, enabling a more comprehensive understanding of river flow. This approach aims to compete with world-class methods such as ADCPs and advance the state-of-the-art in river flow measurement.
High-precision, continuous, and high-resolution flow observation using a river acoustic tomography system
Long-term, continuous, and high-resolution river discharge observations remain a major challenge in river engineering. To address this challenge, we use an advanced measurement tool, the Fluvial Acoustic Tomography (FAT), to investigate river dynamics during extreme events such as floods. Our current research focuses on improving accurate discharge observations in river environments, aiming to provide reliable river discharge records.
Books
Papers
- Assessment of Annual Rainfall Patterns Using a Clustering-based Comparative Framework Mohamad Basel Al Sawaf Water Resources Management 40 3 2026/02/12
- Examining the Ability of Underwater Acoustic Tomography to Measure Streamflow Within Highly Sediment Concentrations Mohamad Basel Alsawaf,Yasuharu Watanabe,Akiyoshi Sasaki,Kazuya Inoue,Satoshi Kusano 41st IAHR World Congress 1019 2025/10/16
Conference Presentations
- Examining the Ability of Underwater Acoustic Tomography to Measure Streamflow Within Highly Sediment Concentrations(conference：41st IAHR World Congress)(2025/06)
- Uncertainties in River Flow Measurements Using Acoustic Tomography: Potentials and Challenges(conference：The 2025 IEEE International Symposium on Underwater Technology (UT 2025))(2025/03/04)
Others
- IMPROVING THE RESOLUTION OF SHALLOW-RIVER DISCHARGE MEASUREMENT BY DENOISING OUTLIERS USING BINARIZED IMAGE SUBTRACTION FEATURE Mohamad Basel AL SAWAF,KAWANISI Kiyosi,XIAO Cong Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 75 2 I_619 2019
- MONITORING UNSTEADY STREAMFLOW-STAGE HYSTERESIS BEHAVIOR OF A GRAVEL-BED RIVER Mohamad Basel AL SAWAF,KAWANISI Kiyosi,DANIAL Mochammad Meddy Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 62 4 Ⅰ_313 2018
- MONITORING UNSTEADY STREAMFLOW-STAGE HYSTERESIS BEHAVIOR OF A GRAVEL-BED RIVER Mohamad Basel AL SAWAF,KAWANISI Kiyosi,DANIAL Mochammad Meddy Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 74 4 I_313 2018
- A MOUNTAINOUS RIVER FLOW FLUCTUATION ANALYSIS USING SHALLOW-WATER ACOUSTIC TOMOGRAPHY SYSTEM AL SAWAF Mohamad Basel,KAWANISI Kiyosi Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 73 4 I_19 2017
- INVESTIGATION OF FLOW VELOCITY AND SALINITY BEHAVIOUR IN OTA RIVER ESTUARY USING ACOUSTIC TOMOGRAPHY METHOD AND NUMERICAL MODELING DANIAL Mochammad Meddy,KAWANISI Kiyosi,MOTLAGH Masoud Bahraini,Al SAWAF Mohamad Basel,WAKABAYASHI Takayuki Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 73 4 I_1033 2017
Arts and Fieldwork
Patent
Theme to the desired joint research
Grant-in-Aid for Scientific Research
○「 Developing an innovative hydroacoustics system for river discharge monitoring and investigating watershed characteristics during torrential floods」(2021-2024)
Competitive research funding,Contribution
Collaborative research,Consignment study
Classes (Bachelors)
○Graduation Research Planning(2025)
○Experiments in Fundamental Physics(2025)
○River Engineering(2025)
○Graduation Research Planning(2024)
○River Engineering(2024)
Classes (Graduate Schools)
○Data Analysis in Hydrology and Earth Science(2025)
○
Data Analysis in Hydrology and Earth Science(2024)