Simulation-based optimization for solving a hybrid flow shop scheduling problem. - Paul Aurich; Abdulrahman Nahhas; Tobias Reggelin; Juri Tolujew (WSC, 2016)

Toward a Performance Requirements Model for the Early Design Phase of IT Systems. - Ahmad Alwadi; Abdulrahman Nahhas; Sascha Bosse; Naoum Jamous; Klaus Turowski (ES, 2018)

Toward Adaptive Manufacturing: Scheduling Problems in the Context of Industry 4.0. - Abdulrahman Nahhas; Sebastian Lang 001; Sascha Bosse; Klaus Turowski (ES, 2018)

Load distribution strategies for a sustainable IT resources management. - Abdulrahman Nahhas; Sascha Bosse; Klaus Turowski (MKWI, 2018)

A Modernized Model for Performance Requirements and Their Interdependencies. - Ahmad Alwadi; Abdulrahman Nahhas; Sascha Bosse; Naoum Jamous; Klaus Turowski (AICCSA, 2019)

Toward an Autonomic and Adaptive Load Management Strategy for Reducing Energy Consumption under Performance Constraints in Data Centers. - Abdulrahman Nahhas; Sascha Bosse; Matthias Pohl; Klaus Turowski (CLOSER, 2019)

Proof of Provision: Improving Blockchain Technology by Cloud Computing. - Matthias Pohl; Abdulrahman Nahhas; Sascha Bosse; Klaus Turowski (CLOSER, 2019)

Towards an Automated Optimization-as-a-Service Concept. - Sascha Bosse; Abdulrahman Nahhas; Matthias Pohl; Klaus Turowski (IoTBDS, 2019)

A Holistic View of the Server Consolidation and Virtual Machines Placement Problems. - Abdulrahman Nahhas; Sascha Bosse; Daniel Staegemann; Matthias Volk 002; Klaus Turowski (SITIS, 2019)

Exploring the Specificities and Challenges of Testing Big Data Systems. - Daniel Staegemann; Matthias Volk 002; Abdulrahman Nahhas; Mohammad Abdallah; Klaus Turowski (SITIS, 2019)

Automation of Customer Initiated Back Office Processes: A Design Science Research Approach to link Robotic Process Automation and Chatbots. - Christian Daase; Daniel Staegemann; Matthias Volk 002; Abdulrahman Nahhas; Klaus Turowski (ACIS, 2020)

Comparative Study of e-Commerce Ventures: Copycat Enablers in Business Models. - Christian Haertel; Matthias Pohl; Sascha Bosse; Robert Häusler; Abdulrahman Nahhas; Daniel Staegemann; Matthias Volk 002; Klaus Turowski (FEMIB, 2020)

Evolving Neural Networks to Solve a Two-Stage Hybrid Flow Shop Scheduling Problem with Family Setup Times. - Sebastian Lang 001; Tobias Reggelin; Fabian Behrendt; Abdulrahman Nahhas (HICSS, 2020)

Classifying Big Data Taxonomies: A Systematic Literature Review. - Daniel Staegemann; Matthias Volk 002; Alexandra Grube; Johannes Hintsch; Sascha Bosse; Robert Häusler; Abdulrahman Nahhas; Matthias Pohl; Klaus Turowski (IoTBDS, 2020)

Determining Potential Failures and Challenges in Data Driven Endeavors: A Real World Case Study Analysis. - Daniel Staegemann; Matthias Volk 002; Tuan Vu; Sascha Bosse; Robert Häusler; Abdulrahman Nahhas; Matthias Pohl; Klaus Turowski (IoTBDS, 2020)

Open-source discrete-event simulation software for applications in production and logistics: An alternative to commercial tools? - Sebastian Lang 001; Tobias Reggelin; Marcel Müller; Abdulrahman Nahhas (ISM, 2020)

Towards a Decision Support System for Big Data Projects. - Matthias Volk 002; Daniel Staegemann; Sascha Bosse; Abdulrahman Nahhas; Klaus Turowski (Wirtschaftsinformatik (Zentrale Tracks), 2020)

Quantitative Analysis of the Effects of Different Carbon Tax Levels on Emissions and Costs of Data Centers. - Sascha Bosse; Abdulrahman Nahhas; Klaus Turowski (Wirtschaftsinformatik (Zentrale Tracks), 2020)

Scheduling Jobs in a Two-Stage Hybrid Flow Shop with a Simulation-Based Genetic Algorithm and Standard Dispatching Rules. - Benjamin Rolf; Tobias Reggelin; Abdulrahman Nahhas; Marcel Müller; Sebastian Lang 001 (WSC, 2020)

An adaptive scheduling framework for the dynamic virtual machines placement to reduce energy consumption in cloud data centers. - Abdulrahman Nahhas; Jahnavi Thimmaiah Cheyyanda; Klaus Turowski (HICSS, 2021)

An adaptive scheduling framework for solving multi-objective hybrid flow shop scheduling problems. - Abdulrahman Nahhas; Marco Krist; Klaus Turowski (HICSS, 2021)

A Preliminary Overview of the Situation in Big Data Testing. - Daniel Staegemann; Matthias Volk 002; Matthias Pohl; Robert Häusler; Abdulrahman Nahhas; Mohammad Abdallah; Klaus Turowski (IoTBDS, 2021)

Challenges in Data Acquisition and Management in Big Data Environments. - Daniel Staegemann; Matthias Volk 002; Akanksha Saxena; Matthias Pohl; Abdulrahman Nahhas; Robert Häusler; Mohammad Abdallah; Sascha Bosse; Naoum Jamous; Klaus Turowski (IoTBDS, 2021)

Comparative analysis of machine learning models for anomaly detection in manufacturing. - Andrey Kharitonov; Abdulrahman Nahhas; Matthias Pohl; Klaus Turowski (ISM, 2021)

Hybrid Approach for Solving Multi-Objective Hybrid Flow Shop Scheduling Problems with Family Setup Times. - Abdulrahman Nahhas; Andrey Kharitonov; Ahmad Alwadi; Klaus Turowski (ISM, 2021)

NeuroEvolution of augmenting topologies for solving a two-stage hybrid flow shop scheduling problem: A comparison of different solution strategies. - Sebastian Lang 001; Tobias Reggelin; Johann Schmidt; Marcel Müller; Abdulrahman Nahhas (Expert Syst. Appl., 2021)

Methodological Case Study Approach for Detecting Business Model Enablers in Copycat Ventures. - Christian Haertel; Matthias Pohl; Sascha Bosse; Robert Häusler; Abdulrahman Nahhas; Daniel Staegemann; Matthias Volk 002; Klaus Turowski (Int. J. Organ. Collect. Intell., 2021)

Investigating different optimization criteria for a hybrid job scheduling approach based on heuristics and metaheuristics. - Abhijith Remesh; Abdulrahman Nahhas; Andrey Kharitonov; Klaus Turowski (ACIS, 2022)

A Holistic View of Adaptive Supply Chain in Retailing Industry. - Christian Haertel; Abdulrahman Nahhas; Christian Daase; Matthias Volk 002; Klaus Turowski (AMCIS, 2022)

Deep Reinforcement Learning Techniques For Solving Hybrid Flow Shop Scheduling Problems: Proximal Policy Optimization (PPO) and Asynchronous Advantage Actor-Critic (A3C). - Abdulrahman Nahhas; Andrey Kharitonov; Klaus Turowski (HICSS, 2022)

Following the Digital Thread - A Cloud-Based Observation. - Christian Daase; Christian Haertel; Abdulrahman Nahhas; Matthias Volk 002; Heiko Steigerwald; Achim Ramesohl; Bernd Schneider; Alexander Zeier; Klaus Turowski (ISM, 2022)

On the Integration of Google Cloud and SAP HANA for Adaptive Supply Chain in Retailing. - Abdulrahman Nahhas; Christian Haertel; Christian Daase; Matthias Volk 002; Achim Ramesohl; Heiko Steigerwald; Alexander Zeier; Klaus Turowski (ISM, 2022)

Toward A Lifecycle for Data Science: A Literature Review of Data Science Process Models. - Christian Haertel; Matthias Pohl; Abdulrahman Nahhas; Daniel Staegemann; Klaus Turowski (PACIS, 2022)

Addressing IT Capacity Management Concerns Using Machine Learning Techniques. - Hendrik Müller; Andrey Kharitonov; Abdulrahman Nahhas; Sascha Bosse; Klaus Turowski (SN Comput. Sci., 2022)

A Survey of Technology Selection Approaches in Data Science Projects. - Christian Haertel; Matthias Pohl; Abdulrahman Nahhas; Daniel Staegemann; Klaus Turowski (AMCIS, 2023)

MLOps in Data Science Projects: A Review. - Christian Haertel; Daniel Staegemann; Christian Daase; Matthias Pohl; Abdulrahman Nahhas; Klaus Turowski (IEEE Big Data, 2023)

Data Driven Meta-Heuristic-Assisted Approach for Placement of Standard IT Enterprise Systems in Hybrid-Cloud. - Andrey Kharitonov; Abdulrahman Nahhas; Hendrik Müller; Klaus Turowski (CLOSER, 2023)

A Hybrid Job Scheduling Approach on Cloud Computing Environments on the Usage of Heuristics and Metaheuristics Methods. - Abhijith Remesh; Abdulrahman Nahhas; Andrey Kharitonov; Klaus Turowski (HICSS, 2023)

Toward Standardization and Automation of Data Science Projects: MLOps and Cloud Computing as Facilitators. - Christian Haertel; Christian Daase; Daniel Staegemann; Abdulrahman Nahhas; Matthias Pohl; Klaus Turowski (KMIS, 2023)

Hyper-parameter Optimization in the context of Smart Manufacturing: a Systematic Literature Review. - Maria Chernigovskaya; Abdulrahman Nahhas; Andrey Kharitonov; Klaus Turowski (ISM, 2023)

Towards hybrid-cloud infrastructure composition for SAP systems landscapes in smart manufacturing. - Andrey Kharitonov; Abdulrahman Nahhas; Hendrik Müller; Klaus Turowski (ISM, 2023)

Deep Reinforcement Learning for Solving Allocation Problems in Supply Chain: An Image-Based Observation Space. - Abdulrahman Nahhas; Andrey Kharitonov; Klaus Turowski (ISM, 2023)

Reinforcement Learning for Hyper-Parameter Optimization in the context of Capacity Management of SAP Enterprise Applications. - Maria Chernigovskaya; Andrey Kharitonov; Abdulrahman Nahhas; Klaus Turowski (CoDIT, 2024)

Classifying Design Science Research in Terms of Types of Reasoning from an Epistemological Perspective. - Christian Daase; Christian Haertel; Abdulrahman Nahhas; Klaus Turowski (DESRIST, 2024)

Imitation Learning Based on Deep Reinforcement Learning for Solving Scheduling Problems. - Abdulrahman Nahhas; Andrey Kharitonov; Christian Haertel; Klaus Turowski (HICSS, 2024)

On the Current State of Generative Artificial Intelligence: A Conceptual Model of Potentials and Challenges. - Christian Daase; Christian Haertel; Abdulrahman Nahhas; Alexander Zeier; Achim Ramesohl; Klaus Turowski (ICEIS (1), 2024)

A Literature Survey on Pitfalls of Open-Source Dependency Management in Enterprise. - Andrey Kharitonov; Amro Abdalla; Abdulrahman Nahhas; Daniel Gunnar Staegemann; Christian Haertel; Christian Daase; Klaus Turowski (ICSOFT, 2024)

Literature survey on combining machine learning and metaheuristics for decision-making. - André Kharitonov; Jonathan Ifeanyichukwu Abani; Abdulrahman Nahhas; Klaus Turowski (ISM, 2024)

Methodology for Self-Adaptively Solving Multi-Objective Scheduling Problems. - Abdulrahman Nahhas (2024)

Towards a Standardized Business Process Model for LLMOps. - Maria Chernigovskaya; Damanpreet Singh Walia; Ksenia Neumann; André Hardt; Abdulrahman Nahhas; Klaus Turowski (ICEIS (1), 2025)

Deep Reinforcement Learning for Selecting the Optimal Hybrid Cloud Placement Combination of Standard Enterprise IT Applications. - André Hardt; Abdulrahman Nahhas; Hendrik Müller; Klaus Turowski (ICEIS (1), 2025)

Towards IT Workload Hybrid-Cloud Placement Advisory in Enterprise. - André Hardt; Abdulrahman Nahhas; Hendrik Müller; Klaus Turowski (ICEIS (1), 2025)