Thông tin nhân sự

Họ tên: TS. Nguyễn Đức Việt

Chức vụ: Giảng viên

Thuộc đơn vị: Khoa KH&CN Môi Trường

Địa chỉ email: viet.nguyenduc@hust.edu.vn

Lý lịch khoa học

QUÁ TRÌNH ĐÀO TẠO

 
Năm Cấp đào tạo Đơn vị đào tạo
2022 Tiến sỹ Kỹ thuật môi trường Đại học Sungkyunkwan, Hàn Quốc
2017 Kỹ sư Kỹ thuật môi trường Đại học Bách Khoa Hà Nội
 

QUÁ TRÌNH CÔNG TÁC

 
Thời gian Vị trí công tác Đơn vị công tác
2025-nay Giảng viên Trường Hóa và Khoa học Sự sống, Đại học Bách khoa Hà Nội
2022-2025 Nghiên cứu sinh sau Tiến sỹ Đại học Ghent, Bỉ (Global campus)
2018-2022 Nghiên cứu sinh Đại học Sungkyunkwan, Hàn Quốc
2018 Visiting student Đại học Hoàng gia, Ả rập Saudi
2016 Visiting student Đại học Kyoto, Nhật Bản
 

HƯỚNG NGHIÊN CỨU

 
  • Ứng dụng, phát triển kỹ thuật màng trong xử lý nước và thu hồi tài nguyên
  • Các quá trình điện hóa, sinh học thu hồi năng lượng xanh và trung hòa carbon
  • Nghiên cứu hành vi và phương pháp xử lý các hợp chất vi ô nhiễm (micropollutants)
  • Tích hợp học máy và trí tuệ nhân tạo trong các hệ thống xử lý môi trường
 

THAM GIA CÁC ĐỀ TÀI NGHIÊN CỨU

Phân loại
đề tài
Tên đề tài Vai trò Thời gian thực hiện
Quỹ Phát triển KH&CN Quốc gia (NAFOSTED) Nghiên cứu phát triển công nghệ chưng cất màng với vật liệu màng quang nhiệt nano carbon đa lớp tích hợp trí tuệ nhân tạo để sản xuất nước siêu tinh khiết phục vụ công nghiệp bán dẫn Chủ nhiệm đề tài 2026-2028
Quỹ Nghiên cứu Đặc biệt (BOF), Bỉ Công nghệ pin điện phân vi sinh kết hợp màng thẩm thấu mới (OMEC) cho xử lý nước bền vững, thu hồi tài nguyên và sản xuất năng lượng Chủ nhiệm đề tài 2022-2025
Quỹ Nghiên cứu Quốc gia Hàn Quốc (NRF) Phát triển hệ thống khử nitrat tự dưỡng bằng lưu huỳnh và quy trình màng gốm lai cho sản xuất thủy sản bền vững trong hệ thống nuôi tuần hoàn (RAS) Quản lý Dự án 2023-2025
Quỹ Global Minds, Bỉ Công nghệ chưng cất màng sử dụng năng lượng tái tạo: Thiết kế và trang bị kiến thức cho tái sử dụng nước bền vững tại Việt Nam Quản lý Dự án 2025-2026
Viện Công nghệ & Công nghiệp Môi trường Hàn Quốc (KEITI) Xây dựng hệ thống đánh giá rủi ro sinh thái (ERA) cho sông và hồ sử dụng loài bản địa Thành viên 2022-2027
Tập đoàn Môi trường Hàn Quốc (K-ECO) Hỗ trợ kỹ thuật trong quản lý độc tính sinh học tại các cơ sở xả thải năm 2024 Thành viên 2024


   

CÁC CÔNG TRÌNH KHOA HỌC


Bài báo khoa học

        2025
  1. Im, H., Lee, S., Nguyen, D. A., Duc Viet Nguyen, Wu, D., & Jang, A. (2025). Enhanced anti-wetting and anti-fouling performance of superhydrophobic supported liquid membrane contactors for selective short-chain fatty acid recovery from food waste leachate. Chemical Engineering Journal, 523, 168433. https://doi.org/10.1016/j.cej.2025.168433
  2. Wang, S., How, S. W., Duc Viet Nguyen, & Wu, D. (2025). 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. Environmental Technology & Innovation, 40, 104541. https://doi.org/10.1016/j.eti.2025.104541
  3. Duc Viet Nguyen, Miran Seo, Yue Chen, Di Wu, 2025. Enhancing Hydrogen Sulfide Control in Urban Sewer Systems Using Machine Learning Models: Development of a New Predictive Simulation Approach by using Boosting Algorithm, Journal of Hazardous Materials (IF 12.2), Vol 491, 137906. https://doi.org/10.1016/j.jhazmat.2025.137906
  4. Hojun Lee, Duc-Viet Nguyen, Eun-Ji Lee, Taejun Han, Jihae Park, 2025. Integrating bioassay and machine learning data for ecological risk assessments of herbicide use on Ulva australis. Marine Pollution Bulletin (IF 10.2), Vol 216, 117984. https://doi.org/10.1016/j.marpolbul.2025.117984
  5. Lei He, Paula Carrera, Chunrong Wang, Duc Viet Nguyen, Philippe M. Heynderickx, Rongfei Feng, Saisai Guo, Di Wu, 2025. Assessment of hydrogen peroxide, persulfate, and peroxymonosulfate as oxidizing agents in electrochemical oxidation of pyridine, Chemical Engineering Journal (IF 13.4), Vol. 503. https://doi.org/10.1016/j.cej.2024.158125
  6. Weimin Cheng, Ke Shi, Duc Viet Nguyen, Jianliang Xue, Qing Jiang, Di Wu, Yanlu Qiao, An Liu, 2025. Enhancing Sulfate Reduction Efficiency in Microbial Electrolysis Cells: The Impact of Mixing Conditions and Heavy-Metal Concentrations on Functional Genes, Cell Activity, and Community Structure in Sulfate-Laden Wastewater Treatment, ACS ES&T Engineering (IF 7.5), Vol. 5 (1).  https://doi.org/10.1016/j.ecmx.2024.100822
  7. Weihang Xu, Lan Wu, Mengqi Geng, Junmei Zhou, Sai Bai, Duc Viet Nguyen, Rui Ma, Di Wu, Jin Qian, 2025. Biochar@MIL-88A(Fe) accelerates direct interspecies electron transfer and hydrogen transfer in waste activated sludge anaerobic digestion: Exploring electron transfer and biomolecular mechanisms, Environmental Research (IF 7.7), Vol. 268. https://doi.org/10.1016/j.envres.2025.120810   
     2024
  1. Duc Viet Nguyen, Di Wu, 2024. Super-Hydrophilic and Positive Charged Pressure Retarded Osmosis Membrane for Efficient Ammonia Recovery and Energy Production, Frontiers in Membrane Technology, Vol. 525. https://doi.org/10.1007/978-3-031-63357-7_21
  2. Duc Viet Nguyen, Di Wu, 2024. Recent advances in innovative osmotic membranes for resource enrichment and energy production in wastewater treatment. Science of The Total Environment, (IF 9.8), Vol 927, 172153. https://doi.org/10.1016/j.scitotenv.2024.172153
  3. Duc Viet Nguyen, Jihae Park, Hojun Lee, Taejun Han, Di Wu, 2024. Assessing industrial wastewater effluent toxicity using boosting algorithms in machine learning: A case study on ecotoxicity prediction and control strategy development. Environmental Pollution, (IF 8.9), Vol 341, 123017. https://doi.org/10.1016/j.envpol.2023.123017   
  4. Thu Huong Nguyen, Duc Viet Nguyen, Masashi Hatamoto, Yuya Takimoto, Takahiro Watari, Khac-Uan Do, Takashi Yamaguchi, 2024. Harnessing iron materials for enhanced decolorization of azo dye wastewater: A comprehensive review, Environmental Research (IF 7.7), Vol. 258. https://doi.org/10.1016/j.envres.2024.119418
  5. Weimin Cheng, Ke Shi, Duc Viet Nguyen, Jianliang Xue, Qing Jiang, Di Wu, Yanlu Qiao, An Liu, 2024. Enhancing Sulfate Reduction Efficiency in Microbial Electrolysis Cells: The Impact of Mixing Conditions and Heavy-Metal Concentrations on Functional Genes, Cell Activity, and Community Structure in Sulfate-Laden Wastewater Treatment, ACS ES&T Engineering (IF 7.5). https://doi.org/10.1021/acsestengg.4c00421
  6. Hong Rae Im, Sung Ju Im, Duc Viet Nguyen, Seong Pil Jeong, Am Jang, 2024. Real-time diagnosis and monitoring of biofilm and corrosion layer formation on different water pipe materials using non-invasive imaging methods, Chemosphere (IF 8.1), Vol. 361. https://doi.org/10.1016/j.chemosphere.2024.142577
  7. Hojun Lee, Duc Viet Nguyen, Di Wu, Jonas De Saeger, Mirye Park, Sang Deuk Lee, Youngseock Yu, Jaeyoung Lee, Chaeyeon Lee, Taejun Han, Jihae Park, 2024. A rapid and multi-endpoint ecotoxicological test using Mychonastes afer for efficient screening of metals and herbicides, Ecotoxicology and Environmental Safety (IF 6.2), Vol. 281. https://doi.org/10.1016/j.ecoenv.2024.116652 
    2023
  1. Duc Viet Nguyen, Sung-Ju Im (*Co-first), Am Jang, 2023. An efficient data-driven desalination approach for the element-scale forward osmosis (FO)-reverse osmosis (RO) hybrid systems. Environmental Research (IF 8.3), 116786. https://doi.org/10.1016/j.envres.2023.116786
  2. D. A. Nguyen, Duc Viet Nguyen, G.H. Jeong, Am Jang, 2023. Critical evaluation of hybrid metal–organic framework composites for efficient treatment of arsenic–contaminated solutions by adsorption and membrane–separation process. Chemical Engineering Journal (IF 16.7), Vol 461, 141789. https://doi.org/10.1016/j.cej.2023.141789
  3. Duc Viet Nguyen, Am Jang, 2023. Machine learning-based real-time prediction of micropollutant behaviour in forward osmosis membrane (waste)water treatment. Journal of Cleaner Production (IF 11.1), Vol 389, 136023. https://doi.org/10.1016/j.jclepro.2023.136023
  4. Duc Viet Nguyen, Am Jang, 2023. Comparative mathematical and data-driven models for simulating the performance of forward osmosis membrane under different draw solutions. Desalination (IF 11.2), Vol 549, 116346. https://doi.org/10.1016/j.desal.2022.116346
  5. D. A. Nguyen, Duc Viet Nguyen, G. H. Jeong, Am Jang, 2023. Fabricated Magnetic Adsorption – Forward Osmosis Membrane Hybrid System for Hydroponic Irrigation from Rich Arsenic–containing Heavy Metal Water Stream. Journal of Hazardous Materials (IF 14.2), Vol 460, 132126. https://doi.org/10.1016/j.jhazmat.2023.132126
  6. X. Zou, H. Guo, C. Jiang, Duc Viet Nguyen, G.H. Chen, D. Wu, 2023. Physics-informed neural network-based serial hybrid model capturing the hidden kinetics for sulfur-driven autotrophic denitrification process. Water Research (IF 12.8), Vol 243, 120331. https://doi.org/10.1016/j.watres.2023.120331
    2022
  1. Duc Viet Nguyen, Sung-Ju Im (*Co-first), Am Jang, 2022. Prediction of forward osmosis membrane system performance using artificial intelligence approach. Journal of Environmental Management (IF 8.9), Vol 318, 115544. https://doi.org/10.1016/j.jenvman.2022.115544
  2. Duc Viet Nguyen, Hyeonho Lee, Sung-Ju Im, Am Jang, 2022. Fate, elimination, and simulation of low-molecular-weight micropollutants in an integrated activated carbon-fertilizer drawn osmotic membrane bioreactor. Bioresource Technology (IF 11.9), Vol 351, 126972. https://doi.org/10.1016/j.biortech.2022.126972
  3. Duc Viet Nguyen, Am Jang, 2022.  Fertilizer draw solution index in osmotic membrane bioreactor for simultaneous wastewater treatment and sustainable agriculture. Chemosphere (IF 8.9), Vol 296, 134002. https://doi.org/10.1016/j.chemosphere.2022.134002
    2021
  1. Duc Viet Nguyen, Duksoo Jang, Yeomin Yoon, Am Jang, 2021.  Enhancement of membrane system performance using artificial intelligence technologies for sustainable water and wastewater treatment: A critical review. Critical Reviews in Environmental Science and Technology (IF 12.6). https://doi.org/10.1080/10643389.2021.1940031
  2. Duc Viet Nguyen, Sung-Ju, Im*(Co-first), Am Jang, 2021. Real-time monitoring of forward osmosis membrane fouling in wastewater reuse process performed with a deep learning model, Chemosphere (IF 8.9), Vol 275, 130047. https://doi.org/10.1016/j.chemosphere.2021.130047 
  3. Duc Viet Nguyen, Am Jang, 2021. Development of artificial intelligence-based models for the prediction of filtration performance and membrane fouling in an osmotic membrane bioreactor, Journal of Environmental Chemical Engineering (IF 8.0), Vol 9 (4), 105337. https://doi.org/10.1016/j.jece.2021.105337 
  4. Duc Viet Nguyen, Im, Sung-Ju, Kim, Chang-Min, Am Jang, 2021. An osmotic membrane bioreactor–clarifier system with a deep learning model for simultaneous reduction of salt accumulation and membrane fouling. Chemosphere (IF 8.9), Vol 272, 129872. https://doi.org/10.1016/j.chemosphere.2021.129872
    2020
  1. Duc Viet Nguyen, Sung-Ju Im, Am Jang (2020) Characterization and control of membrane fouling during dewatering of activated sludge using a thin film composite forward osmosis membrane. Journal of Hazardous Materials (IF 14.2), Vol 396, 122736. https://doi.org/10.1016/j.jhazmat.2020.122736 
    2019
  1. Duc Viet Nguyen, Jaeweon Cho, Yeomin Yoon, Am Jang (2019) Enhancing the removal efficiency of osmotic membrane bioreactors: A comprehensive review of influencing parameters and hybrid configurations. Chemosphere (IF 8.9), Vol 236, 124363. https://doi.org/10.1016/j.chemosphere.2019.124363 
  2. Thu-Huong Thi Hoang, Duc Viet Nguyen, Hien Thi Thu Nguyen, Dieu Anh Van (2019) Decision tree techniques to assess the role of daily DO variation in classifying shallow eutrophicated lakes in Hanoi, Vietnam. Water Quality Research Journal. https://doi.org/10.2166/wqrj.2019.105
    2017
  1. Nguyen Anh Bac, Duc Viet Nguyen, Nguyen Thi Thu Ha, Thu-Huong Hoang (2017) Identify eutrophication status of aquatic bodies based on chlorophyll-a concentrations from remote sensing reflectance in optically shallow waters. Journal of Science and Technology, Vol 55(4C), Issue 2, 85-89. https://doi.org/10.15625/2525-2518/55/4C/12134 
    2016
  1. Duc Viet Nguyen, Bac Anh Nguyen, Thu-Huong Hoang (2016) Dissolved Oxygen as an Indicator for Eutrophication in Freshwater Lakes, Proceedings of International Conference on Environmental Engineering and Management for Sustainable Development: 45-50. (ISBN: 978-604-95-0000-8).

Sách, chương sách đã xuất bản
  1. Duc Viet Nguyen, Thu Huong Nguyen, Thanh Tuan Nguyen, Fernando Oscar, Hoang Dung Nguyen, Thanh Tin Nguyen, Xuan Thanh Bui, Di Wu, 2025. Gravity-driven membrane as a low-cost process for sustainable water treatment: energy consumption and economic assessment. In Book: Low-Cost Water and Wastewater Treatment Systems, Elsevier. https://doi.org/10.1016/B978-0-443-23662-4.00010-X
  2. Thanh Tin Nguyen, Duc Viet Nguyen, Hossein Jalaei Salmani, Huu-Viet Nguyen, Hasan Fareed, Pham Thi Thai Ha Nguyen, Xuan-Thanh Bui, 2025. Gravity-driven membrane as a low-cost process for sustainable water treatment: energy consumption and economic assessment. In Book: Low-Cost Water and Wastewater Treatment Systems, Elsevier. https://doi.org/10.1016/B978-0-443-23662-4.00005-6
  3. Duc Viet Nguyen, Siyuan Wang, Duy-Phuoc Nguyen, Phoebe Mae Lim Ching, Jae Hyun Shim, Yujeong Jung, Di Wu, Richard H.Y. So., 2024. Chapter 35: Current developments in machine learning models with boosting algorithms for the prediction of water quality. In Book: Water Security: Big Data Driven Risk Identification, Assessment and Control of Emerging Contaminants, Elsevier. https://doi.org/10.1016/B978-0-443-14170-6.00015-9
  4. Duc Viet Nguyen, T. T. Nguyen, R. S. Adha, L. Zheng, X.T. Bui, X. Ma, P. H. N. Vo, 2023. Forward osmosis: Principle and applications in sustainable water and energy development, In Book: Current Developments in Biotechnology and Bioengineering: Membrane Technology for Sustainable Water and Energy Management, Elsevier. https://doi.org/10.1016/B978-0-443-19180-0.00017-1
  5. Im, Sung-Ju, Duc Viet Nguyen, Asghar, N., Am Jang, 2020. The Capability of Forward Osmosis Based Hybrid Processes in Adaptation to Water Scarcity and Climate Change, In Book: Global Water Security Issues, Series 2: Water Reuse Within a Circular Economy Context. UNESCO. ISBN: 978-92-3-100413-https://unesdoc.unesco.org/ark:/48223/pf0000374715.locale=en     
Báo cáo toàn văn tại hội thảo quốc tế
  1. Duc-Viet Nguyen, Yue Chen, Thu-Huong Nguyen, Dongha Kim, Takahiro Watari, Takashi Yamaguchi, Minseok Kim, Jeonghwan Kim, Di Wu, Boosting Biogas Production and Dye Removal in Textile Wastewater Treatment with Conductive Material-Enhanced Anaerobic Bioreactors, Water and Environment Technology Conference 2025 (WET2025), 5-6 July 2025, Nagaoka, Japan. (Oral presentation)
  2. Duc Viet Nguyen, Takihiro Watari, and Di Wu, Boosting biogas production and dye removal in textile wastewater treatment with conductive material-enhanced anaerobic bioreactors. IWA Resource Recovery Conference, 19-23 May 2025, Fryslân, Netherlands. (Oral presentation and Session chair)
  3. Duc Viet Nguyen, Am Jang, and Di Wu, Super-hydrophilic and positive charged pressure retarded osmosis membrane for efficient ammonia recovery and energy production. IWA International Conference On Wider- Uptake Of Water Resource Recovery From Wastewater Treatment and IWA Regional Membrane Technology Conference, 18-21, June 2024, Palermo, Italy. (Oral presentation)
  4. Duc Viet Nguyen, Yue Chen, Di Wu, Investigating sulfide formation in deep tunnel sewer systems: A simulation approach utilizing machine learning boosting models. ICUD 2024 – 16th International Conference on Urban Drainage, 9-14, June 2024, Delft, Netherlands. (Oral presentation)
  5. Duc Viet Nguyen, Jihae Park, Hojun Lee, Taejun Han, Thu-Huong Thi Hoang, Di Wu, Development of boosting algorithms in machine learning for the assessment and control of industrial wastewater effluent ecotoxicity. The 5th International Vietnam Conference on Earth and Environmental Sciences (iVCEES-2024). November 24 – 28, 2025, ICISE, Quy Nhon, Vietnam. (Oral presentation)
  6. Duc Viet Nguyen, Jihae Park, Hojun Lee, Taejun Han, Di Wu, Assessing industrial wastewater effluent toxicity using boosting algorithms: A case study on ecotoxicity prediction and control in the Republic of Korea. Environmental Toxicology Society Symposium and Conference, Society of Environmental Toxicology, Busan, Republic of Korea. (Oral presentation)
  7. Duc Viet Nguyen, Di Wu, 2023. Reinforced Amine-rich Pressure Retarded Osmosis Membrane For Efficient Ammonia Recovery And Robust Energy Production. 18th IWA Leading Edge Conference on Water and Wastewater Technologies, 2023, Daegu, Republic of Korea. (Poster presentation)
  8. Duc Viet Nguyen, Am Jang, Fate, elimination, and simulation of low-molecular-weight micropollutants in an integrated activated carbon-fertilizer drawn osmotic membrane bioreactor, 2022 Korean Society of Environmental Engineering Conference, Jeju, Republic of Korea. (Oral presentation)
  9. Duc Viet Nguyen, Am Jang, Multi-criteria decision analysis for selection of fertilizer in fertilizer-drawn osmotic membrane bioreactor for water treatment and sustainable agriculture, 2021 Korean Society of Environmental Engineering, Jeju, Republic of Korea (Best Presentation Award). (Oral presentation)
  10. Duc Viet Nguyen, Sung-Ju Im, Am Jang, Characterization and control of membrane fouling during dewatering of activated sludge using a thin film composite forward osmosis membrane, 2020 Korean Society of Environmental Engineering Conference, Jeju, Republic of Korea. (Oral presentation)
  11. Duc Viet Nguyen, Am Jang, Fouling characterization and control in a dewatering of activated sludge using thin film composite forward osmosis membrane. 5th IWA Specialized International Conference ‘Ecotechnologies for Wastewater Treatment (ecoSTP) 2020, Milan, Italy. (Oral presentation)
  12. Duc Viet Nguyen, Sung-Ju Im, Am Jang, Potential of thin film composite forward osmosis membrane in dewatering of activated sludge, 2020 MSK Annual Summer Conference & Workshop, Gyeonggi, Republic of Korea. (Oral presentation)
     

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