Deutschenglish

Matthias Volk

 Matthias Volk
Position:
Researcher
Organisation:
AGWI
Phone:
+49 391 67-58389
Office:
G29 - 122

Curriculum vitae

Matthias Volk studied Business Informatics at the Faculty of Computer Science at the Otto-von-Guericke-University Magdeburg (OVGU) and earned his Master’s degree at the beginning of 2016. Since then, he has been employed as a scientific researcher concurrently pursuing the doctoral degree. During his studies, Mr. Volk gained lots of practical experience as a software developer in different companies, such as Volkswagen. During his scientific career, he participated in many international scientific congresses and projects, not only as a speaker but also as reviewer or session chair. His main research interest lies in the domain of data-intensive systems, related projects, technologies and the management of them.

Events

15.08.2019

Publications

2020
Jamous, N.; Volk, M.; Barouga, M.; Ghnaim, F.; Turk, T.
Towards Smart Service Level Agreement (SSLA) Using Blockchain
In: PACIS 2020 Proceedings; 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;
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;
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;
Staegemann, D. G.; Volk, M.; Turowski, K.
In: Handbuch Digitale Wirtschaft; 1-15; Springer; 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;
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
Jamous, N.; Haertel, C.; Finkendei, M.; Volk, M.; Hintsch, J.
IT Operation Management A possibility in the flux of digitization Completed Research
In: Proceedings of the 24th Americas Conference on Information Systems (AMCIS); 1-10; AIS Electronic Library (AISeL); 2018;
Volk, M.; Jamous, N.
IT-Landscape Management in the Higher Educational Institutions
In: Proceedings of Sixth International Conference on Enterprise Systems; 211-216; IEEE; 2018;
Volk, M.; Pohl, M.; Turowski, K.
Classifying Big Data Technologies – An Ontology-based Approach
1-10; AIS Electronic Library (AISeL); 2018;
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;
2016
Volk, M.; Hart, S. W.; Bosse, S.; Turowski, K.
How much is Big Data? A Classification Framework for IT Projects and Technologies
In: Proceedings of the 22nd Americas Conference on Information Systems (AMCIS); AIS; 2016;
Jamous, N.; Hart, S. W.; Volk, M.; Turowski, K.
The I-ID: an IT Solution to Supplement Conventional Identification Cards - The Air Transportation Systems Use Case
In: IEEE (Hrsg.): Proceedings of the 4th International Conference on Enterprise Systems (ES2016; 2016;