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Program WEDNESDAY 19 OCT

[China Standard Time]

Wednesday, 19 October 2022
Session 1 Sensing technology for process monitoring
Chairs：Juan Antonio Baeza Labat (Universitat Autònoma de Barcelona, SPAIN),
Jie Yu (Zhejiang University, CHINA)
17:00-17:15 (Keynote) Real-time and automatic equipment for evaluating activated sludge’s robustness by deep learning Yu Tao (Harbin Institute of Technology, CHINA)
17:15-17:25 A novel transfer learning based soft sensor that improves predictive modelling of wastewater plants using limited data Maira Alvi (The University of Western Australia, AUSTRALIA)
17:25-17:35 A multi-view image feature fusion network applied in analysis of aeration velocity for WWTP Sijie Lin (Southern University of Science and Technology, CHINA)
17:35-17:45 Automated online monitoring of microbiological water quality: towards smart management of drinking water supply Jean-Baptiste Burnet (Luxembourg Institute of Science and Technology, LUXEMBOURG)
17:45-17:55 Spectroscopic fingerprints-based monitoring of fouling substances in membrane bioreactors Kang Xiao (University of Chinese Academy of Sciences, CHINA)
17:55-18:15 Discussion 　
18:15-18:25 Break 　
Session 2 Novel sensor development
Chairs：Harsha Ratnaweera (Norwegian University of Life Sciences, NORWAY) 
Xiaodong Wang (Qingdao University of Technology, CHINA)
18:25-18:40
(Keynote)		 BOD-Q development and precise regulation of wastewater treatment process Hong Liu (Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, CHINA)
18:40-18:50 Automated monitoring of dissolved organic matter in a surface-flow constructed wetland Marie-Noelle Pons (University of Lorraine CNRS, FRANCE)
18:50-19:00 Artificial electrochemically active biofilm for improved sensing performance and quickly devising of water quality early warning biosensors Xiang Qi (Tsinghua University, CHINA)
19:00-19:10 A time series double threshold method for pollution events detection in drinking water using three dimensional fluorescence spectroscopy Fangjia Xue (Zhejiang University, CHINA)
19:10-19:20 Developing a miniaturized spectrophotometer using 235 and 275 nm UVC-LEDs for fast detection of nitrate in natural water and wastewater effluents Yu-Ze Han (Nanjing University, CHINA)
19:20-19:40 Discussion 　
19:40-20:10 Poster session 　
Session 3 Soft-sensor for smart monitoring
Chairs：Ramesh Saagi (Lund University, SWEDEN)，
Luz Alejo (inCTRL Solutions, GERMANY)
20:10-20:25 (Keynote) Fostering the digitalization in urban water systems with low-cost monitoring of combined sewer overflows Oriol Gutierrez (Catalan Institute for Water Research, ICRA, SPAIN)
20:25-20:35 Bias detectability during sensor validation with grab samples Oscar Samuelsson (IVL Swedish environmental research institute, SWEDEN)
20:35-20:45 XGBoost machine learning tool as an integrated soft sensor for measuring multiple wastewater parameter: inputs selection Siyuan Wang (Ghent University, BELGIUM)
20:45-20:55 Getting the bigger picture: Smart monitoring network for intake water management and climate change adaptation Janelcy Alferes (VITO, BELGIUM)
20:55-21:05 Intelligent monitoring of aeration rate in WWTP: Using image recognition technology based on deep learning Yuheng Liu (Beijing University of Technology, CHINA)
21:05-21:25 Discussion 　


Poster Session
Presenters should be ensured to be present in virtual Poster Display Area on the assigned date.  

Wednesday, 19 October 2022
Theme Ⅲ: Detection, monitoring and prediction
On-line sulfide measurement with a microfluidic device for monitoring sulfidogenic bioreactors David Camilo Cueto (Universitat Autonoma Barcelona, SPAIN)
Dropout Eliminates Sensor Uncertainty in WWTP Prediction Huaibin Bi (Tsinghua University, CHINA)
Research of soft sensor and Internet of things management platform based on rural sewage treatment facilities in Changzhou Tuo Tian (Tsinghua University, CHINA)
Suitability evaluation of national water quality monitoring networks in Seoul using entropy theory Jin Hyo Lee (Seoul Metropolitan Research Institute of Public Health and Environment, KOREA, SOUTH)
Hybrid model of a super-large scale biofiltration wastewater treatment system to optimize process modelling Marcello Serrao (Ecole des Pont ParisTech, France)
Evaluation of e-ASM for a semiconductor wastewater treatment : 4-step TMAH degradation model ChanHyeok Jeong (Kyung Hee University, KOREA, SOUTH)
Experimental comparison between multifunctional pump control valve and butterfly valve: from the insight of water hammer protection Ruoxi Wu (Hunan University, CHINA)
Design guideline of semiconductor wastewater treatment based on kinetics of slowly degradable pollutants: Input-output model and P-graph optimization Yerim Shim (Kyung Hee University, KOREA, SOUTH) 
Data verification for practical applications: from raw data to valuable information Janelcy Alferes (VITO, BELGIUM)
New application on fluorescence excitation-emission matrix online monitoring Enlightenment from the COVID-19 pandemic Jian Shen (Tsinghua University, CHINA)
Epidemic early warning method based on virus detection in wastewater Shaolin Yang (Tsinghua University, CHINA)

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