Genserik Reniers


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Over Genserik Reniers

Name: Genserik L.L. Reniers
Expertise: safety management, security management, domino accidents, risk analysis procedures, prevention policy in case of major accidents or substantial threats, knock-on accident prevention, prevention management, process safety, process security, cross-company prevention in the chemical industry, multiple plant safety and security cultures, collaboration within industrial areas, transportation of hazardous materials

Chairman of Loss Prevention 2019, see also

Winner of the Trevor Kletz Merit Award 2017 for advancing process safety; Award from the Mary Kay O'Connor Process Safety Center, A&M University, Texas, USA

Editor of the Journal of Loss Prevention in the Process Industries; see

Associate Editor of Safety Science; see

Also available via  

Take a look at our research group of Environmental economics:  

Research regarding safety culture is being conducted thanks to the Chair Vandeputte. More information can be found on:


Bios in English:

Genserik Reniers obtained a Master's degree in chemical engineering at the Vrije Universiteit Brussel and received his PhD in Applied Economic Sciences from the University of Antwerp. He was appointed in a part-time capacity as a Full Professor at the Safety and Security Science Group of the Delft University of Technology, in the Netherlands. At the University of Antwerp in Belgium, he is a Full professor lecturing amongst others in chemistry, organic chemistry, and Technological Risk Management. At the Brussels campus of the KU Leuven, Belgium, he lectures as a professor, amongst others, in prevention management, advanced occupational health and safety management and chemical processes/unit operations. His main research interests concern the collaboration surrounding safety and security topics and socio-economic optimization within the chemical industry. He coordinates the Antwerp Research Group on Safety and Security, unifying multi-disciplinary safety and security research at the University of Antwerp. He has extensive experience in leading research projects funded both by government and chemical industry.


Bios in het Nederlands:

Genserik Reniers is als burgerlijk scheikundig ingenieur en doctor in de Toegepaste Economische Wetenschappen verbonden als Hoogleraar aan de TU Delft in Nederland, bij de Safety and Security Science Group. Aan de Campus Brussel van de KULeuven doceert hij ondermeer Welzijns- en preventiemanagement, Advanced Occupational Health and Safety Management, en Industriële processen. Aan de Universiteit Antwerpen (UA) doceert hij als hoogleraar o.m. Algemene Chemie, Organische Chemie, en Technologisch risicomanagement. Zijn belangrijkste onderzoeksinteresses gaan uit naar veiligheid en beveiliging in de chemische industrie en alle ermee gepaard gaande socio-economische optimalisaties. Hij coördineert de onderzoeksgroep ARGoSS (Antwerp Research Group on Safety and Security) aan de UA, die multidisciplinaire studies naar veiligheid en beveiliging uitvoert. Hij heeft uitgebreide ervaring met onderzoeksprojecten zowel uitgaande van de overheid als op vraag van de chemische industriële sector.


Newest publications accepted for publication: other (published) publications: see 'publicaties' or 'publications'):

- Reniers Genserik, Khakzad Nima, Gabriele Landucci.- Physical security within the process industry: theory with applications. Book publication accepted for publication (2017) by Elsevier.

- Nima Khakzad, Genserik Reniers.- Low-capacity utilization of process plants: A cost-robust approach to tackle man-made domino effects. Accepted for publication (2018) in: Reliability Engineering & System Safety.

- Zhang Laobing, Reniers Genserik.- Playing Chemical Plant Protection Game with Distribution-free Uncertainties. Accepted for publication (2017) in: Reliability Engineering & System Safety.

- Genserik Reniers.- Omgaan met security als preventieadviseur. Book publication accepted for publication (2017) by Wolters-Kluwer.

- Alessio Misuri, Nima Khakzad, Genserik Reniers, Valerio Cozzani.- A Bayesian network methodology for optimal security management of critical infrastructures.- Accepted for publication (2018) in: Reliability Engineering and System Safety.

- Amirali Rezazadeh, Luca Talarico, Genserik Reniers, Valerio Cozzani, Laobing Zhang.- Applying game theory for securing oil and gas pipelines against terrorism. Accepted for publication (2018) in: Reliability Engineering and System Safety.

- Laobing Zhang, Genserik Reniers, Bin Chen, Michael Qiu.- CCP game: A game theoretical model for improving the scheduling of chemical cluster patrolling. Accepted for publication (2018) in: Reliability Engineering and System Safety.

- Weipeng Fang, Jiansong Wu, Yiping Bai, Laobing Zhang, Genserik Reniers.- Quantitative Risk Assessment of a Natural Gas Pipeline in an Underground Utility Tunnel. Accepted for publication (2019) in: Process Safety Progress.

- Chao Chen, Genserik Reniers, Nima Khakzad.- Integrating safety and security resources to protect chemical industrial parks from man-made domino effects: a dynamic graph approach. Accepted for publication (2019) in: Reliability Engineering & System Safety.

- Glenn Scheerlinck, Caroline Buts, Genserik Reniers, Marc Cools.- A Private Security Regulation Index: Ranking EU Member States from 1931 until 2018. Accepted for publication (2019) in: Security Journal.

- Nicola Paltrinieri, Genserik Reniers, Louise Comford.- Learning about risk: machine learning for risk assessment. Accepted for publication (2019) in: Safety Science.

- Guohua Chen, Genserik Reniers, Floris Goerlandt, Yunfeng Yang.- A bibliometric review of laboratory safety in universities. Accepted for publication (2019) in: Safety Science.

- P.Lindhout,  J.C.Kingston-Howlett, G.Reniers.- Learning from language problem related accident information in the process industry a literature study. Accepted for publication (2019) in: Process Safety and Environmental Protection.

- Chaozhong Wu, Eleonora Papadimitriou, Genserik Reniers, Jie Xue, Pieter van Gelder.- Multi-attribute decision-making method for prioritizing maritime traffic safety influencing factors of autonomous ships' maneuvering decisions using grey and fuzzy theories. Accepted for publication (2019) in: Safety Science.



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