申渝，男，1981年生，博士，研究员，博士研究生导师（统计学：统计机器学习/数据科学），硕士生导师（软件工程、电子信息），重庆工商大学特聘岗位教授，巴渝学者特聘教授，重庆市英才创新创业领军人才，第四届重庆市学术技术带头人。

2004年毕业于华中农业大学生命科学技术学院（生物工程）获得学士学位，2009年毕业于大连理工大学环境与生命学院（生物化工）获得博士学位。

2009年7月入职重庆工商大学：废油资源化技术与装备教育部工程中心（副研究员/2010）、科技部智能制造服务国际科技合作基地（研究员/2017，主任助理/主持工作/2016，副主任/主持工作/2018，常务副主任/2020）、人工智能学院（党委副书记、院长/2024）。

担任重庆工商大学学术委员会委员（第四届、第五届）、教学指导委员会委员、重庆工商大学中国-埃及水务设施智能运维国际联合研究中心主任，中国环境科学学会水处理与回用专业委员会委员、中国城镇供水排水协会工程教育专业委员会委员、重庆计算机学会常务理事、重庆国际科技合作协会监事。

主要研究领域：数据智能化、领域大模型应用、城市水系统人工智能技术、环境大数据分析、工厂化养殖智能技术、环境污染控制创新技术等。主持承担了国家自然科学基金、科技部（重点研发计划、水专项）、重庆市高校创新群体、重庆市科技局/教委重点重大课题等重要科研任务23项，在Expert Systems with Applications、IEEE Internet of Things Journal、Artificial Intelligence in Agriculture、Water Research、Applied Catalysis B等期刊发表研究论文220余篇，高被引论文20余篇，获得授权专利/软件著作60余件，获得中国科技产业化促进会科技创新一等奖（排1）、中国发明协会发明创新二等奖（排1）、重庆市自然科学三等奖（排2），出版中英文专著6部。

联系方式（邮件：shenyu@ctbu.edu.cn），重庆工商大学慧智楼90803。

（一）近五年主持承担项目

[1]. 数据驱动视角下基于可解释机器学习的水务系统智慧运行大模型（KJZD-M202400803），重庆市教委重大研究项目，2024-2027，20.00万。

[2]. 城市污水厂“数据-机理”跨模态协同耦合智能运行方法（CQYC202003025），重庆市英才计划创新创业领军人才项目，2021-2023，80.00万。

[3]. 厌氧氨氧化菌纳米舱解毒机制研究（52070031），国家自然科学基金面上项目，2021-2024，58.00万。

[4]. 城市污水设施智能运行关键技术研究（KJZD-M202000801），重庆市教委重大研究项目，2020-2022，35.00万。

[5]. 工业污染控制新技术（CXQT19023），重庆市高校创新群体，100.00万，2019-2023。

[6]. 城市黑臭河道水体微生物原位活化强化技术与装备研发（cstc2019jscx-tjsbx0009-02），重庆市技术创新与应用发展专项课题，20.00万，2020-2022。

[7]. 特大型山地城市水务大数据产品挖据与商业模式研究（cstc2018jszx-cyztzx0158-03），重庆市科委产业类重大主题专项课题，45.00万，2019-2020。

（二）代表性研究论文(2024年以来)

[1]. 申渝，廖万山，李慧敏，冯东，郭智威，张冰，高旭，王建辉*等.基于跨时间尺度迁移学习的污水处理模型漂移校正方法.环境科学，2025, 330-338

[2]. Fu HM, Jiang XW, Sun CP, Li SJ, Weng X, Peng MW, Yan P, Xu XW*, Chen YP,Shen Y*. Exploring the physical disruptions of anammox granular sludge under propylene glycol stress: Implications for nitrogen removal and long-term stability.Journal of Water Process Engineering, 2025, 71:107405.

[3]. Ma H, Hu XL, Wang XM, Xu W,Shen Y, Fang RM, Li YH*, Liu YY*, Dong F*. d-band center modulated water molecule adsorption and activation towards highly photocatalytic toluene mineralization.Applied Catalysis B: Environment and Energy, 2025, 361: 124638.

[4]. Ma TF, Ma HX, Xing CY, Fu HM,Shen Y, Chen YP*, Wei XY. Physiological and proteomic insights into silver nanoparticle-induced stress responses and resistance mechanisms in aerobic denitrifyingEnterobactercloacae HNR.Journal of Environmental Chemical Engineering, 2025, 13(2): 115934.

[5]. Xu P, Xu HY, Xiao P, Jiao WX, Wang YT, Alqahtani F, Guo ZW*, Zhang Y,Shen Y. Deep Vision Computing-Driven Realtime Multitarget Tracking for Intelligent Industrial Aquaculture Management.Journal of Circuits, Systems and Computers, 2025, 34(04): 2550110.

[6]. Xing CY, Xu XW,Shen Y, Chen YP*. The nitrite reductase encapsulated in self-assembled nanocompartment for nitrite metabolism of anammox bacteria.Chemical Engineering Journal, 2024, 500: 157177.

[7]. Yu X,Shen Y*, Guo ZW, Li HM, Guo F, Zhang HY. Intelligent aeration amount prediction control for wastewater treatment process based on recurrent neural network.Journal of the Franklin Institute, 2024, 361(18): 107276.

[8]. Wang Q, Wang J, Chen YP,Shen Y, Yan P*. Scavenging of reactive oxygen species inCandidatusBrocadia fulgida through nanocompartments.Bioresource Technology, 2024, 411: 131348.

[9]. Zhou YM*, Liu L, Wu WX,Shen Y*, Dai YJ. Earthy-musty odorants in recirculating aquaculture systems: generation mechanism, influencing factors, and removal processes.Aquaculture International, 2024, 32: 9565-9586.

[10]. Zhou YM*, Liu W, Liu L,Shen Y*. The promotion and inhibition of proteolysis in silages during ensiling of citrus waste.Animal Feed Science and Technology, 2024, 316: 116051.

[11]. Zhang B, Mao X,Shen Y, Ma TF, Zhang B*, Liu B*, Shi WX. Enhanced performance and mechanism of adsorption pretreatment for alleviating membrane fouling in AGMBR: Impact of structural variations in carbon adsorbents.Science of The Total Environment, 2024, 940: 173702.

[12]. Ma H, Huang CY, Tan TQ, Li WT, Xu W,Shen Y, Li YH*, Fang RM, Dong F*. S-Scheme heterojunction of Cs2SnBr6/C3N4 with interfacial electron exchange toward efficient photocatalytic NO abatement.Journal of Colloid and Interface Science, 2024, 671: 486-495.

[13]. Zhang B, Li JP, Wang XP, Ma TF,Shen Y, Zhang B*, Qin Y*, Liu YN, Shi WX. Enhanced mitigation of membrane fouling and degradation of perfluorooctanoic acid in the treatment of natural surface water through the application of dielectric barrier discharge/sulfite.Chemical Engineering Journal, 2024, 490: 151894.

[14]. Wang YC, Fu HM,Shen Y, Wang J, Wang N, Chen YP, Yan P*. Biosynthetic potential of uncultured anammox community bacteria revealed through multi-omics analysis.Bioresource Technology, 2024, 401: 130740.

[15]. Xu W, Li SJ, Wang JN*, Peng B, Yin WJ, Tang X,Shen Y*. Introducing active sites and regulating electron distribution to design Mo and P co-doped Ni for efficient alkaline hydrogen evolution reaction.Molecular Catalysis, 2024, 559:114069.

[16]. Wang JN, Xu W*, He J, Ma H, Cen WJ*,Shen Y.Screening of transition metal dual-atom catalysts for hydrogen evolution reaction based on high-throughput calculation and searching surrogate prediction model using simple features.Applied Surface Science, 2024, 659: 159942.

[17]. Xu W*, Tang XQ, Zhang Z, Wang YR, Luo JL, Bulugu I, Yin WJ, Tang X,Shen Y*. Experimental and computational insight into the role of cobalt and phosphorus in boosting Volmer and Heyrovsky steps of Ni in alkaline hydrogen evolution reaction.Fuel, 2024, 358: 130174.

[18]. Xu W*, Zhang QY*, Zhou N, Peng B,Shen Y. Epitaxial growth of nano-texturized NiO films on MgO (001) substrates by a reactive magnetron sputtering method.Journal of Crystal Growth, 2024, 625: 127455.

[19]. Guo ZW,Shen Y, Chakraborty C, Alblehai F, Yu KP. Industrial 6G-IoT and Machine-Learning-Supported Intelligent Sensing Framework for Indicator Control Strategy in Sewage Treatment Process.IEEE Internet of Things Journal, 2024, 11: 29308 – 29320.

[20]. Yang Y, Li JX, Kong Z, Ma JC,Shen Y, Ma HY, Yan Y, Dan K, Chai HX*. A self-sustaining effect induced by iron sulfide generation and reuse in pyrite-woodchip mixotrophic bioretention systems: An experimental and modeling study.Water Research, 2024, 265: 122311.

[21]. Shen Y, Zhu X, Guo Z, et al. A Deep Learning-Based Data Management Scheme for Intelligent Control of Wastewater Treatment Processes Under Resource-Constrained IoT Systems.IEEE Internet of Things Journal, 2024, 11: 25757 – 25770.

[22]. Zhou Y, Yang J, Guo Z,Shen Y*, Yu K, Lin JCW. An indoor blind area-oriented autonomous robotic path planning approach using deep reinforcement learning.Expert Systems with Applications, 2024, 254: 124277.

[23]. Yang JC, Zhou YT, Guo ZW, Zhou YM,Shen Y*. Deep learning-based intelligent precise aeration strategy for factory recirculating aquaculture systems.Artificial Intelligence in Agriculture, 2024:12, 57-71.

[24]. Yu K, Quan L, Chakraborty C,Shen Y, Guo Z, Alfarraj O, Tolba A. Multiview Deep Learning-based Efficient Medical Data Management for Survival Time Forecasting.IEEE Journal of Biomedical and Health Informatics, 2024.

[25]. Wang YC, Mao YP, Fu HM, Wang J, Weng X, Liu ZH, Xu XW, Yan P, Fang F, Guo JS,Shen Y, Chen YP*. New insights into functional divergence and adaptive evolution of uncultured bacteria in anammox community by complete genome-centric analysis.Science of The Total Environment,2024: 171530.

[26]. Xu W*, Zhang JP, Tang XQ, Yang X, Han YW, Lan MJ, Tang X,Shen Y*. Highly efficient sulfur-doped Ni3Fe electrocatalysts for overall water splitting: Rapid synthesis, mechanism and driven by sustainable energy.Journal of Colloid and Interface Science, 2024, 653: 1423-1432.

[27]. 王建辉，廖万山，李慧敏，冯东，郭智威，Mohamed S. Mahmoud，张冰，高旭，申渝*，陈猷鹏*.等.数据缺陷条件下支持污水处理厂智能管理的数据增强方法.环境工程，2024, 42: 197-203.