Deutschenglish

Matthias Pohl

 Matthias Pohl
Position:
Researcher
Organisation:
CVLBA, VLBA Lab
Phone:
0391 67-54832
Office:
Gebäude 58, Raum 639-A

Curriculum vitae

Matthias Pohl is a research associate in the Very Large Business Application Lab at the Otto von Guericke University Magdeburg since 2016. His main research and work interests are data science, statistical modeling and the efficient design of innovative IT solutions. Matthias Pohl studied Mathematics and Informatics and holds a Diplom degree in Mathematics from Otto von Guericke University Magdeburg.

Publications

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;
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;
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;
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;
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;
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;
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;
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
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;
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.; Pohl, M.; Turowski, K.
Capacity Planning as a Service for Enterprise Standard Software
In: 19th IEEE International Conference on Business Informatics; 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; (To be published)