Manuel Resinas is Full Professor at the Universidad de Sevilla (US), where he graduated with the Third National End of Degree Award (2004) and obtained his PhD (2008). He is co-founder and member of the Steering Committee of the Unit of Excellence “Smart Computer systems Research and Engineering” (SCORE) of the US, and a member of the Applied Software Engineering research group, where he leads the research line on business process management (BPM).
In the last 15 years, his research interests have revolved around both software and service engineering and BPM. Concerning the former, the key idea behind his work has been to consider the service level agreement (SLA) as a first-class citizen within a service infrastructure that can be used as a specification to increase the automation of many stages of the service lifecycle. This has led to numerous contributions to the automatic analysis, creation, diagnosis and monitoring of SLAs. In 2010, he started to lead a new research line on BPM, where he has made significant contributions in several areas. First, Manuel and his team have gained international recognition by their work on process performance management. His work has aimed at providing models (like PPINOT), techniques, and tools to make the definition, analysis, and computation of process performance indicators easier to process analysts. To this end, he has used techniques from statistical analysis, description logics, natural language processing (including LLMs), or process mining amongst others. This work has also expanded to the predictive monitoring of business processes, where he is co-author of one of the most cited surveys in the topic. A second research direction has focused on providing comprehensive support for the assignment and allocation of human resources to process activities. He has also developed techniques for defining and analysing the compliance of business processes. More recently, his research interests have extended to knowledge-intensive processes like software development processes and the productivity of workers that participate in them, and to the process of process mining and how to improve and augment the support to process analysts. His research has been published in journals like IEEE TSC(x5), BISE(x2), IS(x3), or ACM Trans. Int. Techn. and he regularly publishes in conferences like: CAiSE(x8), ICSOC(x7), CoopIS(x4), or BPM(x3). According to Google Scholar, he has an h-index of 28, and his field-weighted citation impact in 2015-2024 according to SCOPUS is 1.88. He has been recognized three research sexenios (2005-2022).
Manuel is or has been (co-)PI of seven projects, including one H2020 RISE project and four national projects, with a total budget over 950K. He represents the US at the European Research Center for Information Systems (ERCIS) network. He has collaborated with more than 50 international researchers through joint publications, research stays and event organization. More than 40% of his publications in the last 10 years have been co-authored with an international collaborator. He has been PC chair of BPM and JCIS in 2024 and General Co-Chair of BPM in 2020 and 2025. He has organized several workshops on resource management (ReMa) and natural language processing (NLP4BPM). He is a PC member of the main conferences on his topic: BPM, ICPM, ICSOC and received the best reviewer award at ICPM 2021. Since January 2022, he is Associate Editor of the BISE journal. He is also an AEI (National Research Agency) evaluator since 2014.
Manuel has been involved in 11 technology transfer contracts, two of them as a PI. He is co-author of 3 registered software tools: ADA, PPINOT and CRISTAL related to the management of SLAs, PPIs and human resources in business processes, respectively. Their cost of licensing and adaptation by 4 organizations in 5 R&D contracts amounts to more than 95K€. He has developed in collaboration with the Dutch start-up company Cupenya during a one-month research stay the KPIShare platform, which proposed a pioneering approach to the collaborative definition of PPIs. His research on compliance management was embodied in an R&D contract with ENEL ENERGY EUROPE, and in an application of an international patent in collaboration with UNIDASH, based in California. His work has been recognized with a six-year technology transfer period (2010 – 2016).
Manuel has supervised 4 PhD theses and has been able to grow the number of people working on the BPM research line, which he started and leads, to 5 doctors and 4 PhD students. After their PhD, all of his students were offered post-doc positions in relevant international universities like WU Vienna, the University of Linz or the University of Tartu. Currently, they are at the University of Seville: two as Prof. Titular de Universidad, and the other two as Prof. Ayudante Doctor.
Manuel Resinas is Full Professor at the Universidad de Sevilla (US), where he graduated with the Third National End of Degree Award (2004) and obtained his PhD (2008). He is co-founder and member of the Steering Committee of the Unit of Excellence “Smart Computer systems Research and Engineering” (SCORE) of the US, and a member of the Applied Software Engineering research group, where he leads the research line on business process management (BPM).
In the last 15 years, his research interests have revolved around both software and service engineering and BPM. Concerning the former, the key idea behind his work has been to consider the service level agreement (SLA) as a first-class citizen within a service infrastructure that can be used as a specification to increase the automation of many stages of the service lifecycle. This has led to numerous contributions to the automatic analysis, creation, diagnosis and monitoring of SLAs. In 2010, he started to lead a new research line on BPM, where he has made significant contributions in several areas. First, Manuel and his team have gained international recognition by their work on process performance management. His work has aimed at providing models (like PPINOT), techniques, and tools to make the definition, analysis, and computation of process performance indicators easier to process analysts. To this end, he has used techniques from statistical analysis, description logics, natural language processing (including LLMs), or process mining amongst others. This work has also expanded to the predictive monitoring of business processes, where he is co-author of one of the most cited surveys in the topic. A second research direction has focused on providing comprehensive support for the assignment and allocation of human resources to process activities. He has also developed techniques for defining and analysing the compliance of business processes. More recently, his research interests have extended to knowledge-intensive processes like software development processes and the productivity of workers that participate in them, and to the process of process mining and how to improve and augment the support to process analysts. His research has been published in journals like IEEE TSC(x5), BISE(x2), IS(x3), or ACM Trans. Int. Techn. and he regularly publishes in conferences like: CAiSE(x8), ICSOC(x7), CoopIS(x4), or BPM(x3). According to Google Scholar, he has an h-index of 28, and his field-weighted citation impact in 2015-2024 according to SCOPUS is 1.88. He has been recognized three research sexenios (2005-2022).
Manuel is or has been (co-)PI of seven projects, including one H2020 RISE project and four national projects, with a total budget over 950K. He represents the US at the European Research Center for Information Systems (ERCIS) network. He has collaborated with more than 50 international researchers through joint publications, research stays and event organization. More than 40% of his publications in the last 10 years have been co-authored with an international collaborator. He has been PC chair of BPM and JCIS in 2024 and General Co-Chair of BPM in 2020 and 2025. He has organized several workshops on resource management (ReMa) and natural language processing (NLP4BPM). He is a PC member of the main conferences on his topic: BPM, ICPM, ICSOC and received the best reviewer award at ICPM 2021. Since January 2022, he is Associate Editor of the BISE journal. He is also an AEI (National Research Agency) evaluator since 2014.
Manuel has been involved in 11 technology transfer contracts, two of them as a PI. He is co-author of 3 registered software tools: ADA, PPINOT and CRISTAL related to the management of SLAs, PPIs and human resources in business processes, respectively. Their cost of licensing and adaptation by 4 organizations in 5 R&D contracts amounts to more than 95K€. He has developed in collaboration with the Dutch start-up company Cupenya during a one-month research stay the KPIShare platform, which proposed a pioneering approach to the collaborative definition of PPIs. His research on compliance management was embodied in an R&D contract with ENEL ENERGY EUROPE, and in an application of an international patent in collaboration with UNIDASH, based in California. His work has been recognized with a six-year technology transfer period (2010 – 2016).
Manuel has supervised 4 PhD theses and has been able to grow the number of people working on the BPM research line, which he started and leads, to 5 doctors and 4 PhD students. After their PhD, all of his students were offered post-doc positions in relevant international universities like WU Vienna, the University of Linz or the University of Tartu. Currently, they are at the University of Seville: two as Prof. Titular de Universidad, and the other two as Prof. Ayudante Doctor.
