prof. dr. Di Wu
- ORCID iD
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0000-0003-4293-5034
- Bio (via ORCID)
- Short-Bio: Di Wu (03/1981) completed his Master's study in 2007. Then he went to the industry for 2y (as an assistant engineer). From 2009 to 2013, he joined the Wastewater Research Group at the Department of Civil and Environmental Engineering, the Hong Kong University of Science and Technology (HKUST), China to pursue his Ph.D. study on the research of sulfur cycle-associated enhanced biological phosphorus removal innovation; and obtained post-doc training at the same group (2014-2016) for large-scale sulfur-cycle wastewater treatment technology demonstration (1000 m3/d). In 2016, HKUST promoted him to a Research Assistant Professor (RAP) for teaching and research works in the Hong Kong Branch of the Chinese National Engineering Research Center for Heavy Metal Pollution Control for 5 years. In 2021, he was appointed as the tenured Associate Professor at the Faculty of Bioscience Engineering, Ghent University (UGent), Belgium. He has also held an honorary position at HKUST as an Adjunct Associate Professor. Di endeavored to develop innovative and interdisciplinary Environmental Process Technologies. His team is recently been working on three research themes: (1) Sustainable Microbial Engineering [SME]: integrating microbiological science and process engineering for water remediation and waste-to-chemicals, for example i) innovative CNSP-cycle transformations and assembling rare function genomes in urban and/or extreme environment(s), ii), and iii) producing bioenergy (CH4, Biofuels) and biomaterials (pharmaceuticals, food-addition) from waste streams. (2) Water-Energy Sustainability [WES]: Unlocking the potential of using saline water as alternative water for desalination, toilet flushing, and cooling, via i) system integration (multiple water supply system) and ii) water treatment process innovation – low-cost membrane (forward osmosis membrane, dynamic membrane) process and chemical-free electrochemical treatment process (electrification), etc. (3) Modeling Environmental Infrastructures [MEI]: developing smart, resilient concepts and analytical tools, tackling open, dynamic, complex problems in environmental engineering systems, e.g. combining system dynamics with life-cycle modeling for coastal urban environmental and resource management, and machine learning (deep neural network, XGBoost, etc.) for sewerage system diagnosis and control. His research outcomes have been i) published in several academic journals (see: https://www.scopus.com/authid/detail.uri?authorId=57043878600) and patents, ii) transferred to industrial application, and iii) awarded with international (IWA PIA2012, 2018) and local (HK green innovation) prizes, etc. After he joined Ghent University, he taught courses (Green and Organic Chemistry courses, Water Treatment Technology and Microbial Reuse Technology) for the applied biotechnology curriculum in UGent's Korea Campus (Global campus).
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An environmental life cycle perspective on leaching, hydrothermal carbonization and anaerobic digestion for chicken manure valorization
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Hard carbon with closed pores via co-hydrothermal carbonization of PVC and pomelo peel as sodium-ion battery anode with improved capacity
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- Journal Article
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Predicting nitrification status in aerobic membrane bioreactors by interpretable machine learning models : proof of concept for advancing greywater reuse through process monitoring with cross-scenario model validation
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Steel slag as a sustainable adsorbent for phosphorus recovery from anaerobic digester centrate : impact of operating conditions and mechanism insights
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- Journal Article
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- open access
Revisiting simultaneous sulfate reduction and ammonium oxidation in wastewater treatment : from inexplicable experimental observations to extended mechanistic hypotheses
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- Journal Article
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- open access
How useful are data-driven methods for building-level greywater treatment from a process engineering perspective?
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- Journal Article
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Enhancing hydrogen sulfide control in urban sewer systems using machine learning models : development of a new predictive simulation approach by using boosting algorithm
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Efficient conversion of pomelo peel into upgraded bio-crude oil and solid fuel through metal–organic framework catalyzed hydrothermal liquefaction
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- Journal Article
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- open access
Prior extraction of essential oil and pectin does not alter the (catalytic) pyrolysis of pomelo (Citrus maxima) peels
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- Journal Article
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Thiosulfate-involved S-N biotransformation enables the long-term stability of a novel sulfur-cycle driven mainstream anammox process