Tohoku University
Environmental Water Quality Engineering

CESE2022 at Dubai

Conference Presentations

The following studies will be presented at the International Conference on Challenges in Environmental Science and Engineering 2022 (Nov. 27-Dec. 1, 2022, Dubai, UAE).　→FINISHED

Revealing the spatial and temporal dynamics of COVID-19 by wastewater surveillance
Wakana Oishi, Yusuke Hara, Daisuke Sano

Electrochemical sensor for detecting infectious disease-related biomarkers in wastewater
Ayano Yamasaki, Masaaki Kitajima, Daisuke Sano

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8th International Calicivirus Conference

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Conference Presentations

IWA Biofilms 2024 Conference

The following study will be presented at the IWA Biofilms 2024 Conference (Shanghai, Oct. 24-26, 2024).→FINISHED Exploring the influence of ZnO powder on bacterial biofilm formation and conjugation frequency utilizing a wastewater influent isolate Katayoun Dadeh Amirfard, Satorus Suzuki, Daisuke Sano You can find details of the IWA Biofilms 2024 Conference from the following link: https://iwabiofilm2024.tongji.edu.cn/Venue/cv.htm
Conference Presentations

The 2nd UCL-TU Joint Roundtable on Water Sustainability and Resilient Society

The following studies will be presented at the 2nd UCL-TU Joint Roundtable on Water Sustainability and Resilient Society (Tohoku University, Apr. 9th, 2025).→FINISHED Identification of potential infectious disease biomarkers for wastewater-based epidemiological surveillance Luyao Wang Dynamics of contaminants of emerging concern in aquatic environments Marcus Sanchez Sufrace water mapping using google earth engine in Phython: From setup to satellite data…
Conference Presentations

WEF-EESS Conference on Advancement in Water and Wastewater Treatment and Reuse

The following study will be presented at WEF-EESS Conference on Advancement in Water and Wastewater Treatment and Reuse (July 30-31, 2019, UTown Auditorium 2, Stephen Riady Centre, National University of Singapore, Singapore).→FINISHED Predictive Water Microbiology: Hierarchical Bayesian Modelling for Forecasting Virus Disinfection Efficiency Syun-suke Kadoya, Osamu Nishimura, Hiroyuki Kato, Daisuke Sano

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