Deutschenglish

Prof. Dr. Klaus Turowski

Prof. Dr. Klaus Turowski
Tätigkeitsbezeichnung:
Leitung
Organisation:
AGWI, UCC, CVLBA, F-Lab, BICC
Telefon:
+49 391 67-58385
Büro:
Gebäude 29, Raum 120

Curriculum Vitae

Klaus Turowski (Jahrgang 1966) studierte Wirtschaftsingenieurwesen an der Universität Karlsruhe, promovierte am Institut für Wirtschaftsinformatik der Universität Münster und habilitierte sich an der Fakultät für Informatik der Otto-von-Guericke-Universität Magdeburg im Fach Wirtschaftsinformatik. Im Jahr 2000 vertrat er die Professur für Wirtschaftsinformatik an der Universität der Bundeswehr München und leitete ab 2001 den Lehrstuhl für Wirtschaftsinformatik und Systems Engineering an der Universität Augsburg. Seit 2011 ist er an der Otto-von-Guericke-Universität Magdeburg Inhaber des Lehrstuhls für Wirtschaftsinformatik (AG WI), Leiter einer Forschungseinrichtung für sehr große betriebliche Anwendungssysteme (VLBA Lab) und Leiter des weltweit größten SAP Hochschulkompetenzzentrums (SAP UCC Magdeburg).
Er war Gastdozent an verschiedenen ausländischen Universitäten und hatte Lehraufträge an den Universitäten Darmstadt und Konstanz. Er war (Mit-)Veranstalter einer Vielzahl nationaler und internationaler wissenschaftlicher Tagungen (> 30) sowie Mitglied zahlreicher Programmkomitees (> 130) und diverser Gutachtergruppen. Praktische Erfahrungen sammelte er mit zahlreichen Projekten in der Wirtschaft, in denen er im Rahmen seiner universitären Tätigkeit tätig war oder die er als selbständiger Berater durchführte. 

Events

29.01.2014
27.02.2013
09.08.2012
04.03.2012

Neuigkeiten

Erarbeitung und exemplarischer Einsatz eines Evaluierungskonzepts für Planspiele im Kontext der ERP-Lehre

A Hybrid Job Scheduling approach in cloud computing environments on the usage of heuristics and meta-heuristics methods

Controlled Text Generation: A Self Supervised Approach to Generate Text Satisfying a Given Set of Constraints

Entwicklung eines Konzepts zur Integration einer Lernplattform in ein Campus Management System

Open Enterprise Cloud Initiative: OvGU, Google Cloud and Accenture

Open Enterprise Cloud Initiative: OvGU, Google Cloud and Accenture

A hybrid framework for solving multi-objective scheduling problems

A hybrid framework for solving multi-objective scheduling problems

Die neue Cloud Lehrveranstaltung – Cloud DevOps Techniken

Die neue Cloud Lehrveranstaltung – Cloud DevOps Techniken

An adaptive scheduling framework for the dynamic virtual machines placement to reduce energy consumption in cloud data centers

An adaptive scheduling framework for the dynamic virtual machines placement to reduce energy consumption in cloud data centers

MRCC and Fujitsu Optimize Data Centers using Fujitsu's Digital Annealer

MRCC and Fujitsu Optimize Data Centers using Fujitsu's Digital Annealer

Toward Adaptive Manufacturing: Scheduling problems in the Context of Industry 4.0.

Toward Adaptive Manufacturing: Scheduling problems in the Context of Industry 4.0.

Fujitsu Lab Magdeburg im Expert Talk

Fujitsu Lab Magdeburg im Expert Talk

Fujitsu Lab Magdeburg mit Keynote auf AI4U-Konferenz

Fujitsu Lab Magdeburg mit Keynote auf AI4U-Konferenz

SAP-Kompetenzzentrum Magdeburg führend bei IT-Innovationen

SAP-Kompetenzzentrum Magdeburg führend bei IT-Innovationen

MKWI 2016

Fujitsu Lab Magdeburg auf dem Fujitsu Forum 2015

Fujitsu Lab Magdeburg auf dem Fujitsu Forum 2015

Success Story des Fujitsu Lab Magdeburg – Forschungsengagement verlängert

Success Story des Fujitsu Lab Magdeburg – Forschungsengagement verlängert

Fujitsu Forum 2014

Fujitsu Forum 2014

CVLBA Jahrestagung 2014

CVLBA Jahrestagung 2014

Fujitsu erforscht den Betrieb hochleistungsfähiger In-Memory Computertechnologie an der Otto-von-Guericke-Universität Magdeburg

Fujitsu erforscht den Betrieb hochleistungsfähiger In-Memory Computertechnologie an der Otto-von-Guericke-Universität Magdeburg

Weiterer Global Player investiert an der Otto-von-Guericke-Universität: Erstes Fujitsu Information Systems Lab an der OVGU

Weiterer Global Player investiert an der Otto-von-Guericke-Universität: Erstes Fujitsu Information Systems Lab an der OVGU

Virtualisierung ist für SAP Kunden erfolgsentscheidend

Virtualisierung ist für SAP Kunden erfolgsentscheidend

Wissenschaftliche Artikel

2021
Cheyyanda, J. T.; Nahhas, A.; Turowski, K.
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;
Haertel, C.; Pohl, M.; Bosse, S.; Häusler, R.; Nahhas, A.; Staegemann, D. G.; Volk, M.; Turowski, K.
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;
Häusler, R.; Tröger, M.; Staegemann, D. G.; Volk, M.; Turowski, K.
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;
Kharitonov, A.; Nahhas, A.; Pohl, M.; Turowski, K.
Comparative analysis of machine learning models for anomaly detection in manufacturing
1288-1297; 2021;
Müller, H.; Kharitonov, A.; Nahhas, A.; Bosse, S.; Turowski, K.
Addressing IT Capacity Management Concerns Using Machine Learning Techniques
In: SN Computer Science 3; 2021;
Nahhas, A.; Kharitonov, A.; Alwadi, A.; Turowski, K.
Hybrid Approach for Solving Multi-Objective Hybrid Flow Shop Sheduling Problems with Family Setup Times
In: Procedia Computer Science; 1685-1694; 2021;
Nahhas, A.; Krist, M.; Turowski, K.
An adaptive scheduling framework for solving multi-objective hybrid flow shop scheduling problems
2021;
Nahhas, A.; Krist, M.; Turowski, K.
An adaptive scheduling framework for solving multi-objective hybrid flow shop scheduling problems
In: Proceedings HICSS; 2021;
Nahhas, A.; Krist, M.; Turowski, K.
An adaptive scheduling framework for solving multi-objective hybrid flow shop scheduling problems
In: Proceedings HICSS; 2021;
Shakir, A.; Staegemann, D. G.; Volk, M.; Jamous, N.; Turowski, K.
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;
Staegemann, D. G.; Volk, M.; Shakir, A.; Lautenschläger, E.; Turowski, K.
Examining the Interplay Between Big Data and Microservices-A Bibliometric Review
In: Complex Systems Informatics and Modeling Quarterly; 2021;
Staegemann, D. G.; Volk, M.; Lautenschläger, E.; Pohl, M.; Abdallah, M.; Turowski, K.
Applying Test Driven Development in the Big Data Domain-Lessons From the Literature
In: International Conference on Information Technology (ICIT); 2021;
Staegemann, D. G.; Volk, M.; Pohl, M.; Häusler, R.; Nahhas, A.; Abdallah, M.; Turowski, K.
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;
Staegemann, D. G.; Volk, M.; Saxena, A.; Pohl, M.; Nahhas, A.; Häusler, R.; Abdallah, M.; Bosse, S.; Jamous, N.; Turowski, K.
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;
Staegemann, D. G.; Volk, M.; Daase, C.; Pohl, M.; Turowski, K.
A Concept for the Use of Chatbots to Provide the Public with Vital Information in Crisis Situations
In: ICICT (2) 2021; 281-289; 2021;
Volk, M.; Staegemann, D. G.; Bischoff, D.; Turowski, K.
Applying Multi-Criteria Decision-Making for the Selection of Big Data Technologies
In: AMCIS 2021 Proceedings 10; 2021;
2020
Bosse, S.; Nahhas, A.; Turowski, K.
Quantitative Analysis of the Effects of Different Carbon Tax Levels on Emissions and Costs of Data Centers.
In: WI2020 Zentrale Tracks; 1349-1363; 2020;
Daase, C.; Staegemann, D. G.; Volk, M.; Nahhas, A.; Turowski, K.
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;
Haertel, C.; Pohl, M.; Bosse, S.; Nahhas, A.; Staegemann, D. G.; Volk, M.; Turowski, K.
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;
Häusler, R.; Staegemann, D. G.; Volk, M.; Bosse, S.; Turowski, K.
Generating Content-Compliant Training Data in Big Data Education
In: Proceedings of the 12th International Conference on Computer Supported Education; 104-110; 2020;
Pohl, M.; Hashaam, A.; Bosse, S.; Staegemann, D. G.; Volk, M.; Kramer, F.; Turowski, K.
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;
Pohl, M.; Degenkolbe, R.; Staegemann, D. G.; Turowski, K.
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;
Staegemann, D. G.; Volk, M.; Hintsch, J.; Häusler, R.; Bosse, S.; Nahhas, A.; Pohl, M.; Turowski, K.
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;
Staegemann, D. G.; Volk, M.; Bosse, S.; Häusler, R.; Nahhas, A.; Turowski, K.
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;
Staegemann, D. G.; Volk, M.; Jamous, N.; Venkatesh, R.; Hart, S. W.; Bosse, S.; Turowski, K.
Improving the Quality Validation of the ETL Process using Test Automation
In: AMCIS (Hrsg.): AMCIS 2020 Proceedings; AMCIS; 2020;
Staegemann, D. G.; Volk, M.; Daase, C.; Turowski, K.
Discussing Relations Between Dynamic Business Environments and Big Data Analytics
In: Complex Systems Informatics and Modeling Quarterly; 58-82; 2020;
Staegemann, D. G.; Volk, M.; Jamous, N.; Turowski, K.
Exploring the Applicability of Test Driven Development in the Big Data Domain
2020;
Stecher, P.; Pohl, M.; Turowski, K.
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;
Volk, M.; Staegemann, D. G.; Jamous, N.; Pohl, M.; Turowski, K.
Providing Clarity on Big Data Technologies - The BDTOnto Ontology
In: International Journal of Intelligent Information Technologies; 49-73; 2020;
Volk, M.; Turowski, K.; Staegemann, D. G.; Bosse, S.
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;
Volk, M.; Staegemann, D. G.; Trifonova, I.; Bosse, S.; Turowski, K.
Identifying Similarities of Big Data Projects–A Use Case Driven Approach
In: IEEE (Hrsg.): IEEE Access ( Volume: 8); 186599 - 186619; IEEE; 2020;
Volk, M.; Staegemann, D. G.; Turowski, K.
Big Data
Springer Gabler; Wiesbaden; 2020;
Volk, M.; Staegemann, D. G.; Prothmann, F.; Turowski, K.
Towards an Automatized Way for Modeling Big Data System Architectures
In: 23rd International Conference on Business Information Systems; 2020;
2019
Alwadi, A.; Nahhas, A.; Bosse, S.; Jamous, N.; Turowski, K.
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;
Bosse, S.; Nahhas, A.; Pohl, M.; Turowski, K.
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;
Müller, H.; Bosse, S.; Turowski, K.
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;
Nahhas, A.; Bosse, S.; Pohl, M.; Turowski, K.
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;
Nahhas, A.; Bosse, S.; Staegemann, D. G.; Volk, M.; Turowski, K.
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;
Pohl, M.; Nahhas, A.; Bosse, S.; Turowski, K.
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;
Roberts, J.; Volk, M.; Neumann, R.; Turowski, K.
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;
Song, J.; Jamous, N.; Turowski, K.
A dynamic perspective: local interactions driving the spread of social networks
In: Enterprise Information Systems; 219-235; 2019;
Staegemann, D. G.; Volk, M.; Jamous, N.; Turowski, K.
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;
Staegemann, D. G.; Volk, M.; Nahhas, A.; Abdallah, M.; Turowski, K.
Exploring the Specificities and Challenges of Testing Big Data Systems
In: 15th International Conference on Signal Image Technology & Internet based Systems; 2019;
Staegemann, D. G.; Hintsch, J.; Turowski, K.
Testing in Big Data: An Architecture Pattern for a Development Environment for Innovative, Integrated and Robust Applications
In: 14th International Conference on Wirtschaftsinformatik; 2019;
Staegemann, D. G.; Volk, M.; Turowski, K.
Mobile Procurement Management
In: Handbuch Digitale Wirtschaft; 1-15; Springer; 2019;
Volk, M.; Staegemann, D. G.; Pohl, M.; Turowski, K.
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;
Volk, M.; Bosse, S.; Bischoff, D.; Turowski, K.
Decision-Support for Selecting Big Data Reference Architectures
In: Proceedings of the 22nd International Conference on Business Information Systems; 2019; 3-17; 2019;
Staegemann, D. G.; Volk, M.; Lucht, C.; Klie, C.; Hintze, M.; Turowski, K.
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;
2018
Alwadi, A.; Nahhas, A.; Bosse, S.; Jamous, N.; Turowski, K.
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;
Häusler, R.; Bosse, S.; Turowski, K.
Analysis and modeling of learning systems and development of a process model for flexible orchestration of learning environments
In: Multikonferenz Wirtschaftsinformatik (MKWI); 2018;
Pohl, M.; Kubela, J.; Bosse, S.; Turowski, K.
Performance Evaluation of Application Layer
In: IEEE (Hrsg.): Proceedings of Sixth International Conference on Enterprise Systems; 180-187; Limassol, Zypern; 2018;
Nahhas, A.; Lang, S.; Bosse, S.; Turowski, K.
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;
Hintsch, J.; Kramer, F.; Turowski, K.
An Information System Architecture for Build- and Engineer-to-Order Production of Application Services
In: Inf Syst E-Bus Manage; 2018;
Hintsch, J.; Gali, K.; Jamous, N.; Turowski, K.
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;
Kubela, J.; Pohl, M.; Bosse, S.; Turowski, K.
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;
Nahhas, A.; Bosse, S.; Turowski, K.
Load Distribution Strategies for a Sustainable IT Resources Management
In: Multikonferenz Wirtschaftsinformatik (MKWI); 2018;
Pohl, M.; Bosse, S.; Turowski, K.
A Data-Science-as-a-Service Model
In: Proceedings of the 8th International Conference on Cloud Computing and Services Science; 432-439; 2018;
Volk, M.; Pohl, M.; Turowski, K.
Classifying Big Data Technologies – An Ontology-based Approach
1-10; AIS Electronic Library (AISeL); 2018;
2017
Bosse, S.; Müller, H.; Turowski, K.
Integrated Optimization of IT Service Performance and Availability Using Performability Prediction Models
In: 13th International Conference on Wirtschaftsinformatik (WI); 2017;
Khan, A.; Pohl, M.; Bosse, S.; Hart, S. W.; Turowski, K.
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;
Hintsch, J.; Khan, A.; Siegling, A.; Turowski, K.
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;
Khan, A.; Hintsch, J.; Turowski, K.; Saake, G.
Variability Management in Infrastructure as a Service: Scenarios in Cloud Deployment Models
International Conference on Computing, Networking and Communications (ICNC), IEEE; 2017;
Khan, A.; Pohl, M.; Köppen, V.; Saake, G.; Turowski, K.
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;
Müller, H.; Bosse, S.; Turowski, K.
Collaborative Software Performance Engineering for Enterprise Applications
In: Proceedings of the 50th Hawaii International Conference on System Sciences; 2017;
Müller, H.; Bosse, S.; Pohl, M.; Turowski, K.
Capacity Planning as a Service for Enterprise Standard Software
In: 19th IEEE International Conference on Business Informatics; 2017;
Müller, H.; Bosse, S.; Turowski, K.
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;
Nahhas, A.; Aurich, P.; Bosse, S.; Reggelin, T.; Turowski, K.
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;
Khan, A.; Pohl, M.; Saake, G.; Turowski, K.
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; (Zu veröffentlichen)
Bosse, S.; Turowski, K.
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;
Volk, M.; Jamous, N.; Turowski, K.
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;
Volk, M.; Shareef, A. E.; Jamous, N.; Turowski, K.
New E-Commerce User Interest Patterns
In: IEEE (Hrsg.): Proceedings 2017 IEEE International Congress on Big Data -BigData Congress-; 2017;
Volk, M.; Bosse, S.; Turowski, K.
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;