Matthias Pohl
Tätigkeitsbezeichnung:
Assoziierter Wissenschaftler
Organisation:
AGWI, CVLBA, VLBA Lab
E-Mail:
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.
Wissenschaftliche Artikel
2022
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Toward A Lifecycle for Data Science: A Literature Review of Data Science Process Models
1534;
Pacis 2022;
Taipai;
2022;
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Comparative analysis of machine learning models for anomaly detection in manufacturing
In:
Procedia computer science (Hrsg.):
Comparative analysis of machine learning models for anomaly detection in manufacturing;
1288-1297;
Procedia computer science;
Procedia computer science - Amsterdam;
2022;
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The performance benefit of data analytics applications
In:
Procedia computer science (Hrsg.):
The performance benefit of data analytics applications;
679-683;
Procedia computer science;
Procedia computer science-Amsterdam;
2022;
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Migration Patterns for Applications in Cloud Computing Environments
LinkSpringer;
2022;
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A Literature Review on the Challenges of Applying Test-Driven Development in Software Engineering
CSIMQ;
2022;
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Facilitating the Decentralisation of Software Development Projects from a Project Management Perspective: A Literature Review -
In:
SCITEPRESS - Science and Technology Publications (Hrsg.):
Facilitating the Decentralisation of Software Development Projects from a Project Management Perspective: A Literature Review -;
22-34;
SCITEPRESS - Science and Technology Publications;
Proceedings of the 4th International Conference on Finance, Economics, Management and IT Business - [Setúbal, Portugal;
2022;
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2021
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Methodological Case Study Approach for Detecting Business Model Enablers in Copycat Ventures
35-54;
International journal of organizational and collective intelligence - Hershey, Pa;
International journal of organizational and collective intelligence - Hershey, Pa;
2021;
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Applying Test Driven Development in the Big Data Domain-Lessons From the Literature
In:
New York,NY,United States: Association for Computing Machinery (Hrsg.):
International Conference on Information Technology (ICIT);
511-516;
New York,NY,United States: Association for Computing Machinery;
New York,NY,United States: Association for Computing Machinery;
2021;
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A Preliminary Overwiew of the Situation in Big Data Testing
In:
SCITEPRESS - Science and Technology Publications, Lda. (Hrsg.):
6th International Conference on Internet of Things, Big Data and Security-IoTBDS;
296-302;
SCITEPRESS - Science and Technology Publications, Lda.;
[Setúbal]: SCITEPRESS - Science and Technology Publications, Lda.;
2021;
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Challenges in Data Acquisition and Management in Big Data Environments
In:
[Setúbal]: SCITEPRESS - Science and Technology Publications, Lda.; Wills, Gary (Hrsg.):
6th International Conference on Internet of Things, Big Data and Security-IoTBDS;
193-204;
[Setúbal]: SCITEPRESS - Science and Technology Publications, Lda.; Wills, Gary;
[Setúbal]: SCITEPRESS - Science and Technology Publications, Lda.; Wills, Gary;
2021;
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A Concept for the Use of Chatbots to Provide the Public with Vital Information in Crisis Situations
In:
SpringerLink (Hrsg.):
Proceedings of Sixth International Congress on Information and Communication Technology: ICICT 2021, London;
281-289;
SpringerLink;
Singapore: Springer Singapore; Yang, Xin-She;
2021;
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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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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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Providing Clarity on Big Data Technologies - The BDTOnto Ontology
In:
IJIIT ; an official publication of the Information Resources Management Association - Hershey (Hrsg.):
International Journal of Intelligent Information Technologies;
49-73;
IJIIT ; an official publication of the Information Resources Management Association - Hershey;
Hershey, PA;
2020;
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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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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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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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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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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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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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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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