Process Mining (PM) is taking modern organizations by storm as it identifies of bottlenecks and operational inefficiencies. Starting from time-stamped observations, PM creates models that simulate the actual process and visualizes these as flow charts. Bottleneck detection can be performed online or offline, depending on clients’ needs. Examples include the optimization of loan applications, improving the efficiency of housing allocation, and identifying and correcting bottlenecks in hospital care.
Following his undergraduate studies at the University of Groningen, the Netherlands, Rense Lange was awarded a Doctorate in Psychology and a Master's Degree in Computer Science from the University of Illinois at Urbana-Champaign, USA. He has published over 75 refereed papers, books, and chapters in the areas of computer science, econometrics, education, machine learning, medicine, psychology, psychiatry, and psychometrics, and currently serves as a reviewer and member of the editorial board of several journals.
While teaching at the University of Illinois, Dr. Lange founded Integrated Knowledge Systems (IKS) which provides test administration, psychometrics and quality control services for medium and large scale clients, at the US state and district level, in educational assessment and personnel testing. Over the past 25 years IKS has served clients in Canada, Malaysia, Portugal, and the USA. Currently IKS is currently expanding and a new office is being opened in Kuala Lumpur, Malaysia to serve as its’ East Asian center.
Dr. Lange heads the ISLA/CEIMOM Laboratory for Statistics and Computation in Vila Nova de Gaia - Porto (Portugal), which focusses on advanced assessment systems, machine learning, and process mining. ISLA aims to leverage the power of psychometrics, process mining, and machine learning to applications in banking, education, medicine, social media, and personnel selection.