Prof. Dr. Klaus Turowski
Position:
Head
Organisation:
AGWI, UCC, CVLBA, F-Lab, BICC
Email:
Phone:
+49 391 67-58385
Office:
Gebäude 29, Raum 120
Curriculum vitae
Klaus Turowski (born 1966) studied Business and Engineering at the University of Karlsruhe, achieved his doctorate at the Institute for Business Informatics at the University of Münster and habilitated in Business Informatics at the Faculty of Computer Science at the Otto von Guericke University Magdeburg. In 2000, he deputized the Chair of Business Informatics at the University of the Federal Armed Forces München and, from 2001, he headed the Chair of Business Informatics and Systems Engineering at the University of Augsburg. Since 2011, he is heading the Chair of Business Informatics (AG WI) at the Otto von Guericke University Magdeburg, the Very Large Business Applications Lab (VLBA Lab) and the world's largest SAP University Competence Center (SAP UCC Magdeburg).
Additionally, Klaus Turowski worked as a guest lecturer at several universities around the world and was a lecturer at the Universities of Darmstadt and Konstanz.
He was a (co-) organizer of a multiplicity of national and international scientific congresses and workshops (>30) and acted as a member of several programme commitees (>130), and expert Groups.
In the context of his university activities as well as an independent consultant he gained practical experience in industry.
Events
05.12.2019
05.09.2016
09.09.2014
09.06.2014
22.05.2014
26.02.2014
29.01.2014
06.11.2013
12.09.2013
27.02.2013
26.02.2013
27.11.2012
06.09.2012
09.08.2012
07.05.2012
24.03.2012
04.03.2012
Publications
2021
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Methodological Case Study Approach for Detecting Business Model Enablers in Copycat Ventures
In:
International Journal of Organizational and Collective Intelligence 11(4);
35-54;
2021;
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Towards a Systematic Requirements Engineering for IT System-based Business Simulation Games
In:
13th International Conference on Computer Supported Education-Volume 1: CSEDU;
986-391;
2021;
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Comparative analysis of machine learning models for anomaly detection in manufacturing
In:
Procedia Computer Science;
200;
1288-1297;
2021;
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Comparative analysis of machine learning models for anomaly detection in manufacturing
2021;
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Addressing IT Capacity Management Concerns Using Machine Learning Techniques
In:
SN Computer Science 3;
2021;
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Hybrid Approach for Solving Multi-Objective Hybrid Flow Shop Sheduling Problems with Family Setup Times
In:
Procedia Computer Science;
1685-1694;
2021;
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An adaptive scheduling framework for the dynamic virtual machines placement to reduce energy consumption in cloud data centers
In:
Hawaii International Conference on System Sciences 2021;
2021;
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An adaptive scheduling framework for solving multi-objective hybrid flow shop scheduling problems
2021;
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An adaptive scheduling framework for solving multi-objective hybrid flow shop scheduling problems
In:
Proceedings HICSS;
2021;
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An adaptive scheduling framework for solving multi-objective hybrid flow shop scheduling problems
In:
Proceedings HICSS;
2021;
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Towards a Concept for Building a Big Data Architecture with Microservices
In:
6th International Conference on Internet of Things, Big Data and Security-IoTBDS;
2021;
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Examining the Interplay Between Big Data and Microservices-A Bibliometric Review
In:
Complex Systems Informatics and Modeling Quarterly;
2021;
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Applying Test Driven Development in the Big Data Domain-Lessons From the Literature
In:
International Conference on Information Technology (ICIT);
2021;
|
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A Preliminary Overwiew of the Situation in Big Data Testing
In:
6th International Conference on Internet of Things, Big Data and Security-IoTBDS;
296-302;
2021;
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Challenges in Data Acquisition and Management in Big Data Environments
In:
6th International Conference on Internet of Things, Big Data and Security-IoTBDS;
193-204;
2021;
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A Concept for the Use of Chatbots to Provide the Public with Vital Information in Crisis Situations
In:
ICICT (2) 2021;
281-289;
2021;
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Applying Multi-Criteria Decision-Making for the Selection of Big Data Technologies
In:
AMCIS 2021 Proceedings 10;
2021;
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2020
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Quantitative Analysis of the Effects of Different Carbon Tax Levels on Emissions and Costs of Data Centers.
In:
WI2020 Zentrale Tracks;
1349-1363;
2020;
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Automation of Customer Initiated Back Office Processes: A Design Science Research Approach to link Robotic Process Automation and Chatbots
In:
ACIS 2020 Proceedings 15;
2020;
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Comparative Study of e-Commerce Ventures: Copycat Enablers in Business Models
In:
Proceedings of the 2nd International Conference on Finance, Economics, Management and IT Business - Volume 1: FEMIB,;
80-90;
2020;
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Generating Content-Compliant Training Data in Big Data Education
In:
Proceedings of the 12th International Conference on Computer Supported Education;
104-110;
2020;
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Application of NLP to determine the State of Issues in Bug Tracking Systems
In:
2020 International Conference on Data Mining Workshops (ICDMW).IEEE;
53-61;
2020;
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Towards a Blockchain Technology Framework-Literature Review on components in blockchain implementations
In:
Australian Conference on Information Systems - ACIS - Volume 2020;
Wellington, New Zealand;
2020;
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Determining Potential Failures and Challenges in Data Driven Endeavors: A Real World Case Study Analysis
In:
Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS;
453-460;
2020;
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Classifying Big Data Taxonomies: A Systematic Literature Review
In:
Proceedings of the 5th International Conference on Internet of Things, Big Data and Security;
267-278;
2020;
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Improving the Quality Validation of the ETL Process using Test Automation
AMCIS;
2020;
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Discussing Relations Between Dynamic Business Environments and Big Data Analytics
In:
Complex Systems Informatics and Modeling Quarterly;
58-82;
2020;
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Exploring the Applicability of Test Driven Development in the Big Data Domain
2020;
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Enterprise architecture's effects on organizations' ability to adopt artificial intelligence - A Resource-based perspective
In:
Proceedings of the 28th European Conference on Information Systems (ECIS), An Online AIS Conference,;
Aisel;
2020;
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In:
Springer Gabler, Wiesbaden (Hrsg.):
Handbuch Digitale Wirtschaft;
1-18;
Springer Gabler, Wiesbaden;
2020;
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Approaching the (Big) Data Science Engineering Process
In:
Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,;
428-435;
2020;
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Providing Clarity on Big Data Technologies - The BDTOnto Ontology
In:
International Journal of Intelligent Information Technologies;
49-73;
2020;
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Identifying Similarities of Big Data Projects–A Use Case Driven Approach
In:
IEEE (Hrsg.):
IEEE Access ( Volume: 8);
186599 - 186619;
IEEE;
2020;
|
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Big Data
Springer Gabler;
Wiesbaden;
2020;
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Towards an Automatized Way for Modeling Big Data System Architectures
In:
23rd International Conference on Business Information Systems;
2020;
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2019
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A Modernized Model for PerformanceRequirements and their Interdependencies
In:
AICCSA (Hrsg.):
16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019; Abu Dhabi, UAE; IEEE;
AICCSA;
Abu Dhabi, UAE, IEEE;
2019;
|
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Towards an Automated Optimization-as-a-Service Concept
In:
Proceedings of the 4th International Conference on Internet of Things, Big Data and Security;
339-343;
2019;
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On the Utility of Machine Learning for Service Capacity Management of Enterprise Applications
In:
Proceedings of the 15th International Conference on Signal-Image Technology & Internet-Based Systems;
2019;
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Toward an autonomic and adaptive load management strategy for reducing energy consumption under performance constraints in data centers
In:
9th International Conference on Cloud Computing and Services Science, CLOSER 2019;
471-478;
SciTePress;
Crete, Greece;
2019;
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A holistic view of the server consolidation and virtual machines placement problems
In:
15th International Conference on Signal Image Technology & Internet based Systems, SITIS 2019;
Sorrento, Italy;
2019;
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Proof of Provision: Improving Blockchain Technology by Cloud Computing
In:
Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER;
SciTePress;
2019;
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Machine Learning Techniques for Annotations of Large Financial Text Datasets.
In:
25th Americas Conference on Information Systems, AMCIS 2019, Cancun, Mexico, August 15-17, 201;
2019;
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A dynamic perspective: local interactions driving the spread of social networks
In:
Enterprise Information Systems;
219-235;
2019;
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In:
Handbuch Digitale Wirtschaft;
1-15;
Springer;
2019;
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Understanding Issues in Big Data Applications - A Multidimensional Endeavor.
In:
25th Americas Conference on Information Systems, AMCIS 2019, Cancun, Mexico, August 15-17, 2019;
2019;
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Exploring the Specificities and Challenges of Testing Big Data Systems
In:
15th International Conference on Signal Image Technology & Internet based Systems;
2019;
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Testing in Big Data: An Architecture Pattern for a Development Environment for Innovative, Integrated and Robust Applications
In:
14th International Conference on Wirtschaftsinformatik;
2019;
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Challenging Big Data Engineering: Positioning of Current and Future Development
In:
Proceedings of the 4th International Conference on Internet of Things, Big Data and Security;
257-268;
2019;
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Decision-Support for Selecting Big Data Reference Architectures
In:
Proceedings of the 22nd International Conference on Business Information Systems; 2019;
3-17;
2019;
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An Inventory-Based Mobile Application for Warehouse Management to Digitize Very Small Enterprises
In:
Proceedings of the 22nd International Conference on Business Information Systems;
2019;
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2018
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Toward a Performance Requirements Model for the Early Design Phase of IT Systems
In:
Proceedings of the Sixth International Conference on Enterprise Systems;
9-16;
Limassol, Cyprus;
2018;
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Analysis and modeling of learning systems and development of a process model for flexible orchestration of learning environments
In:
Multikonferenz Wirtschaftsinformatik (MKWI);
2018;
|
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Performance Evaluation of Application Layer
In:
IEEE (Hrsg.):
Proceedings of Sixth International Conference on Enterprise Systems;
180-187;
Limassol, Zypern;
2018;
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Toward Adaptive Manufacturing: Scheduling Problems in the Context of Industry 4.0
In:
Proceedings of the Sixth International Conference on Enterprise Systems;
108-115;
Limassol, Cyprus;
2018;
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An Information System Architecture for Build- and Engineer-to-Order Production of Application Services
In:
Inf Syst E-Bus Manage;
2018;
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An Application System Landscape Engineering Process Framework (ASLEP)
In:
Proceedings of the 24th Americas Conference on Information Systems (AMCIS);
1-10;
AIS Electronic Library (AISeL);
2018;
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Internet of Things Middleware: How Suitable are Service-oriented Architecture and Resource-oriented Architecture
In:
Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security;
229-236;
2018;
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Load Distribution Strategies for a Sustainable IT Resources Management
In:
Multikonferenz Wirtschaftsinformatik (MKWI);
2018;
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A Data-Science-as-a-Service Model
In:
Proceedings of the 8th International Conference on Cloud Computing and Services Science;
432-439;
2018;
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Classifying Big Data Technologies – An Ontology-based Approach
1-10;
AIS Electronic Library (AISeL);
2018;
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2017
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Integrated Optimization of IT Service Performance and Availability Using Performability Prediction Models
In:
13th International Conference on Wirtschaftsinformatik (WI);
2017;
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Application Software in Cloud-Ready Data Centers: A Survey
In:
Marx Gómez, J., Mora, M., Raisinghani, M.S., Nebel, W., O'Connor, R (Hrsg.):
Engineering and Management of Data Centers;
261--288;
Springer;
Springer International Publishing AG;
2017;
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Variability Management in Infrastructure as a Service: Scenarios in Cloud Deployment Models
International Conference on Computing, Networking and Communications (ICNC), IEEE;
2017;
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An Evaluation of Variability Mechanisms to Manage Cloud Services
In:
Proceedings of the 14th International Joint Conference on e-Business and Telecommunications;
100-107;
SCITEPRESS Digital Library;
Lda Setúbal, Portugal;
2017;
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A Holistic View of the IoTProcess from Sensors to the Business Value
In:
Proceedings ot the 2nd International Conference on Internet of Things, Big Data and Security;
Lda Setúbal, Portugal;
2017;
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Collaborative Software Performance Engineering for Enterprise Applications
In:
Proceedings of the 50th Hawaii International Conference on System Sciences;
2017;
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Capacity Planning as a Service for Enterprise Standard Software
In:
19th IEEE International Conference on Business Informatics;
2017;
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Capacity Management as a Service for Enterprise Standard Software
In:
Marite Kirikova, Jelena Zdravkovic, Oscar Pastor and Peri Loucopoulos (Hrsg.):
Complex Systems Informatics and Modeling Quarterly (CSIMQ);
1-21;
Springer;
2017;
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Metaheuristic and Hybrid Simulation-Based Optimization for Solving Scheduling Problems with Major and Minor Setup Times
In:
The 16th International Conference on Modeling and applied Simulation;
Barcelona;
2017;
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An Evaluation of Variability Mechanisms to Manage Cloud Services
In:
Proceedings ot the 14th International Joint Conference on e-Business an Telecommunications;
SCITEPRESS Digital Library;
Lda Setúbal, Portugal;
2017;
(To be published)
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Optimization of Data Center Fault Tolerance Design
In:
Marx Gómez, J., Mora, M., Raisinghani, M.S., Nebel, W., O'Connor, R (Hrsg.):
Engineering and Management of Data Centers;
141--162;
Springer;
Springer International Publishing AG;
2017;
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Ask the Right Questions: Requirements Engineering for the Execution of Big Data Projects
In:
Association for Information Systems (Hrsg.):
23rd Americas Conference on Information Systems, {AMCIS} 2017, Boston, MA, USA, August 10-12, 2017;
2017;
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New E-Commerce User Interest Patterns
In:
IEEE (Hrsg.):
Proceedings 2017 IEEE International Congress on Big Data -BigData Congress-;
2017;
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Providing Clarity on Big Data Technologies: A Structured Literature Review
In:
David Diaz, Yannis Manolopoulos, Babis Theodoulidis, Mohamed Zaki (Hrsg.):
Proceedings 2017 IEEE 19th Conference on Business Informatics CBI 2017;
IEEE;
2017;
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