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process mining phd topic

Indigenous Australian Research Excellence

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IISM | Digital Service Innovation Prof. Dr. Gerhard Satzger

Write your thesis with us, digital innovations: aais.

Take a look at our research department: Applied AI in Services

Digital Innovations: DSDI

Take a look at our research department: Digital Service Design & Innovation

Startups coached by DSI

process mining phd topic

Our research group "Digital Service Innovation" (DSI) is focusing on designing, developing, and evaluating novel digital services and service business models based on the use of data and AI. Established in 2008 in cooperation with IBM, we build on a proven "industry-on-campus" concept bringing industry experience to KIT - and put a particular emphasis on connecting theory and practical application. We are part of both the Institute of Information Systems and Marketing (IISM) as well as the interdisciplinary Karlsruhe Digital Service Research & Innovation Hub (KSRI) .

Our conviction

We strongly believe that digitalization will radically transform the way value is generated for businesses and individuals and drive the "servitization" of businesses. Information and communication technology will be the "glue" for service systems in which several partners cooperate to jointly create value. In a business context, this means that innovation concepts have to elevate above the scope of the single enterprise and comprise customers, partners, or whole ecosystems.

We are fascinated by the opportunitities that digitalization holds for service innovation. Our research focuses on concepts, methods and tools to design novel services and entire business models. At the same time, we run an integrated teaching and training concept within the KSRI to educate future leaders for a global, services-led world. Based on a solid understanding of service systems, students are developing economic and technical competences essential to successfully engineer and manage IT-based services. Courses are usually taught in English.

Our expertise

We specialize in analyzing and designing user-centric and IT-based services and evaluating them in practice – while tightly connecting business and technology. Our current research is organized in two labs – in which we add interdisciplinary and domain expertise from other KSRI groups and partners.

Digital Service Design & Innovation :  We conceive and apply methods, techniques and tools for the design and innovation of digital services. We provide knowledge and guidance to leverage emerging technologies such as AI, Analytics, Blockchain, IoT for impactful services, business models and service systems - emphasizing a human perspective. Current topics include Design Thinking-based Innovation Processes, Digital User Engagement, and Data- and AI-based Services and Business Models.

Applied Artificial Intelligence (AI) in Services : We utilize artificial intelligence and, in particular machine learning, to conceive, build and evaluate innovative digital services – with a particular focus on developing "system" solutions across organizations and on complementing human and machine capabilities. Current topics include AI in Service Systems, IoT-based (Smart) Services, and Human-AI Collaboration, in particular topics of complementary team performance, fairness, and appropriate reliance on AI.

EM 2024 Marcel

COMMENTS

  1. Improving PhD Student Journeys with Process Mining: Insights …

    This paper reports on the findings of a process mining case study conducted at an Australian University that had espoused a digital transformation initiative to improve PhD student journeys.

  2. Using the Opportunities and Challenges of Process Mining to …

    Process mining is a technique that uses the event logs of a system to discover, monitor, and improve process models. Analyzing these models can provide insights into a system’s behavior.

  3. (PDF) Process Mining: Overview and Opportunities

    This article introduces process mining as a new research field and summarizes the guiding principles and challenges described in the manifesto.

  4. A Conceptualisation of Process Mining Impacts

    This PhD research project focuses on conceptualising the notion of impact in the process mining domain. Process mining is a field of techniques that automatically discover process models and monitor performance indicators, …

  5. Research

    We are looking for prospective PhD candidates to work on various topic of Process Science (Process Data Analysis – Process Mining, Process Querying, Machine Learning-based …

  6. Accepted Papers

    Providing domain knowledge for process mining with ReWOO-based agents. Max Vogt, Peter Van der Putten and Hajo A. Reijers Towards an Ethogram of Exploratory Process Mining Behavior.

  7. Call for Best Process Mining PhD Dissertation Award 2024

    The IEEE Task Force for Process Mining is happy to announce the 2024 edition of the Best Process Mining PhD Dissertation Award. The award will be delivered during the 6th …

  8. Opportunities and Challenges for Process Mining in Organizations ...

    Process Mining (PM), a specialized form of data-driven process analytics, enables the extraction of detailed insights regarding process behavior, process performance, confor-mance of …

  9. Process Mining in Manufacturing: A Causal AI Approach

    Subject: Process Mining in Manufacturing: A Causal AI Approach. Type: Master's thesis. Date: Vergeben. Supervisor: Joshua Holstein. Background: The landscape of modern manufacturing …