Masafumi Fujita, PhD

Professor, Department of Urban and Civil Engineering, Ibaraki University

His teaching is primarily in water and wastewater engineering, while his research focuses on water environment and water treatment engineering.

▶ Fujita Laboratory website
[IU Researcher Directory]
[researchmap]
[ORCID]

Career

• 1996BEng, Urban and Civil Engineering, Ibaraki University
• 1998MEng, Urban and Civil Engineering, Ibaraki University
• 2001PhD, Urban Engineering, University of Tokyo
• 2001–2003Postdoctoral Researcher, Toyohashi University of Technology
• 2003–2008Assistant Professor, University of Yamanashi
• 2008–2010Lecturer, Ibaraki University
• 2010–2022Associate Professor, Ibaraki University
• 2012–2013Visiting Researcher, University of Auckland
• 2022–presentProfessor, Ibaraki University

Research Interests

Research on sustainable management and conservation of water environments

1. Development of real-time integrated modeling approaches for WWT processes using online sensor data

• Modeling of biological phosphorus removal processes using hybrid ODE (Activated Sludge Models × machine learning)
  DOI: 10.1016/j.biortech.2024.131217
• Enhancement of reproducibility and interpretability in hybrid ODE and development of evaluation metrics
  DOI: 10.1016/j.jenvman.2025.124932

2. Development of environmental stress assessment methods for aquatic organisms using antioxidant biomarkers

• Relationship between antioxidant responses and growth potential of brackish bivalves exposed to natural and anthropogenic stressors
  DOI: 10.1016/j.envpol.2022.119676
• Mechanisms of antioxidant responses in brackish bivalves exposed to microplastics
  DOI: 10.1016/j.scitotenv.2024.175089

3. Development of water environment management technologies for creating multiple values using brackish bivalves (starting in FY2026)

4. Investigation of antioxidant response mechanisms in activated sludge microbial communities

• Application and evaluation of antioxidant biomarkers in activated sludge
  DOI: 10.2965/jwet.23-066

5. Development of predictive modeling approaches for saltwater intrusion using machine learning

• Enhancement of interpretability in saltwater intrusion prediction using decision tree–based models
  DOI: 10.1016/j.rineng.2024.102373

Past Research

• ▽ Assessment of urbanization impacts on coastal ecosystems in Pacific atolls and development of climate change adaptation strategies (Ibaraki University)
  DOI: 10.1007/s11625-013-0204-x
  DOI: 10.1016/j.chemosphere.2013.10.023
• ▽ Development of diagnostic technologies for internal deterioration in water distribution networks (IU)
  DOI: 10.1007/s11269-014-0571-9
  DOI: 10.2166/ws.2016.026
• ▽ Development of energy-generating wastewater treatment technologies using microbial fuel cells (IU)
  DOI: 10.1007/s12010-019-02994-3
  DOI: 10.2208/jscejer.76.5_I_353
• ▽ Investigation of nutrient cycling mechanisms and development of integrated ecosystem models in brackish environments (IU)
  DOI: 10.2208/kaigan.65.1231
  DOI: 10.2208/kaigan.66.1141
• ▽ Mathematical modeling of instability mechanisms in biological nutrient removal processes (University of Yamanashi and IU)
  DOI: 10.2166/wst.2010.978
  DOI: 10.2965/jswe.31.755
• ▽ Environmental dynamics analysis using quinone biomarkers (forest hydrological processes and landfill stabilization assessment) (UY)
  DOI: 10.2166/wst.2006.042
  DOI: 10.3985/jswme.19.347
• ▽ Assessment of sediment environments and biological functions in inner bays and tidal flats (Toyohashi University of Technology and UY)
  DOI: 10.2112/05-0486.1
  DOI: 10.1016/j.ecoleng.2004.05.003
• ▽ Development of treatment and resource recovery technologies for wastewater and waste using high-temperature and high-pressure water (TUT)
  DOI: 10.11532/proes1992.40.23
  DOI: 10.1016/j.jhazmat.2003.12.010