Abdulrahman Nahhas

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 42

Top Topics

Scheduling Problem

Top Venues

Publications

Abdulrahman Nahhas, Andrey Kharitonov, Christian Haertel, Klaus Turowski
Imitation Learning Based on Deep Reinforcement Learning for Solving Scheduling Problems. HICSS (2024)
Christian Daase, Christian Haertel, Abdulrahman Nahhas, Klaus Turowski
Classifying Design Science Research in Terms of Types of Reasoning from an Epistemological Perspective. DESRIST (2024)
Christian Daase, Christian Haertel, Abdulrahman Nahhas, Alexander Zeier, Achim Ramesohl, Klaus Turowski
On the Current State of Generative Artificial Intelligence: A Conceptual Model of Potentials and Challenges. ICEIS (1) (2024)
Christian Haertel, Christian Daase, Daniel Staegemann, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski
Toward Standardization and Automation of Data Science Projects: MLOps and Cloud Computing as Facilitators. KMIS (2023)
Abhijith Remesh, Abdulrahman Nahhas, Andrey Kharitonov, Klaus Turowski
A Hybrid Job Scheduling Approach on Cloud Computing Environments on the Usage of Heuristics and Metaheuristics Methods. HICSS (2023)
Christian Haertel, Daniel Staegemann, Christian Daase, Matthias Pohl, Abdulrahman Nahhas, Klaus Turowski
MLOps in Data Science Projects: A Review. BigData (2023)
Christian Haertel, Matthias Pohl, Abdulrahman Nahhas, Daniel Staegemann, Klaus Turowski
A Survey of Technology Selection Approaches in Data Science Projects. AMCIS (2023)
Abdulrahman Nahhas, Christian Haertel, Christian Daase, Matthias Volk, Achim Ramesohl, Heiko Steigerwald, Alexander Zeier, Klaus Turowski
On the Integration of Google Cloud and SAP HANA for Adaptive Supply Chain in Retailing. ISM (2023)
Andrey Kharitonov, Abdulrahman Nahhas, Hendrik Müller, Klaus Turowski
Data Driven Meta-Heuristic-Assisted Approach for Placement of Standard IT Enterprise Systems in Hybrid-Cloud. CLOSER (2023)
Christian Daase, Christian Haertel, Abdulrahman Nahhas, Matthias Volk, Heiko Steigerwald, Achim Ramesohl, Bernd Schneider, Alexander Zeier, Klaus Turowski
Following the Digital Thread - A Cloud-Based Observation. ISM (2023)
Abhijith Remesh, Abdulrahman Nahhas, Andrey Kharitonov, Klaus Turowski
Investigating different optimization criteria for a hybrid job scheduling approach based on heuristics and metaheuristics. ACIS (2022)
Hendrik Müller, Andrey Kharitonov, Abdulrahman Nahhas, Sascha Bosse, Klaus Turowski
Addressing IT Capacity Management Concerns Using Machine Learning Techniques. SN Comput. Sci. 3 (1) (2022)
Christian Haertel, Abdulrahman Nahhas, Christian Daase, Matthias Volk, Klaus Turowski
A Holistic View of Adaptive Supply Chain in Retailing Industry. AMCIS (2022)
Abdulrahman Nahhas, Andrey Kharitonov, Klaus Turowski
Deep Reinforcement Learning Techniques For Solving Hybrid Flow Shop Scheduling Problems: Proximal Policy Optimization (PPO) and Asynchronous Advantage Actor-Critic (A3C). HICSS (2022)
Christian Haertel, Matthias Pohl, Abdulrahman Nahhas, Daniel Staegemann, Klaus Turowski
Toward A Lifecycle for Data Science: A Literature Review of Data Science Process Models. PACIS (2022)
Christian Haertel, Matthias Pohl, Sascha Bosse, Robert Häusler, Abdulrahman Nahhas, Daniel Staegemann, Matthias Volk, Klaus Turowski
Methodological Case Study Approach for Detecting Business Model Enablers in Copycat Ventures. Int. J. Organ. Collect. Intell. 11 (4) (2021)
Andrey Kharitonov, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski
Comparative analysis of machine learning models for anomaly detection in manufacturing. ISM (2021)
Abdulrahman Nahhas, Andrey Kharitonov, Ahmad Alwadi, Klaus Turowski
Hybrid Approach for Solving Multi-Objective Hybrid Flow Shop Scheduling Problems with Family Setup Times. ISM (2021)
Daniel Staegemann, Matthias Volk, Matthias Pohl, Robert Häusler, Abdulrahman Nahhas, Mohammad Abdallah, Klaus Turowski
A Preliminary Overview of the Situation in Big Data Testing. IoTBDS (2021)
Sebastian Lang, Tobias Reggelin, Johann Schmidt, Marcel Müller, Abdulrahman Nahhas
NeuroEvolution of augmenting topologies for solving a two-stage hybrid flow shop scheduling problem: A comparison of different solution strategies. Expert Syst. Appl. 172 (2021)
Abdulrahman Nahhas, Jahnavi Thimmaiah Cheyyanda, Klaus Turowski
An adaptive scheduling framework for the dynamic virtual machines placement to reduce energy consumption in cloud data centers. HICSS (2021)
Daniel Staegemann, Matthias Volk, Akanksha Saxena, Matthias Pohl, Abdulrahman Nahhas, Robert Häusler, Mohammad Abdallah, Sascha Bosse, Naoum Jamous, Klaus Turowski
Challenges in Data Acquisition and Management in Big Data Environments. IoTBDS (2021)
Abdulrahman Nahhas, Marco Krist, Klaus Turowski
An adaptive scheduling framework for solving multi-objective hybrid flow shop scheduling problems. HICSS (2021)
Sebastian Lang, Tobias Reggelin, Marcel Müller, Abdulrahman Nahhas
Open-source discrete-event simulation software for applications in production and logistics: An alternative to commercial tools? ISM (2020)
Daniel Staegemann, Matthias Volk, Alexandra Grube, Johannes Hintsch, Sascha Bosse, Robert Häusler, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski
Classifying Big Data Taxonomies: A Systematic Literature Review. IoTBDS (2020)
Benjamin Rolf, Tobias Reggelin, Abdulrahman Nahhas, Marcel Müller, Sebastian Lang
Scheduling Jobs in a Two-Stage Hybrid Flow Shop with a Simulation-Based Genetic Algorithm and Standard Dispatching Rules. WSC (2020)
Matthias Volk, Daniel Staegemann, Sascha Bosse, Abdulrahman Nahhas, Klaus Turowski
Towards a Decision Support System for Big Data Projects. Wirtschaftsinformatik (Zentrale Tracks) (2020)
Daniel Staegemann, Matthias Volk, Tuan Vu, Sascha Bosse, Robert Häusler, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski
Determining Potential Failures and Challenges in Data Driven Endeavors: A Real World Case Study Analysis. IoTBDS (2020)
Sebastian Lang, Tobias Reggelin, Fabian Behrendt, Abdulrahman Nahhas
Evolving Neural Networks to Solve a Two-Stage Hybrid Flow Shop Scheduling Problem with Family Setup Times. HICSS (2020)
Christian Haertel, Matthias Pohl, Sascha Bosse, Robert Häusler, Abdulrahman Nahhas, Daniel Staegemann, Matthias Volk, Klaus Turowski
Comparative Study of e-Commerce Ventures: Copycat Enablers in Business Models. FEMIB (2020)
Sascha Bosse, Abdulrahman Nahhas, Klaus Turowski
Quantitative Analysis of the Effects of Different Carbon Tax Levels on Emissions and Costs of Data Centers. Wirtschaftsinformatik (Zentrale Tracks) (2020)
Christian Daase, Daniel Staegemann, Matthias Volk, Abdulrahman Nahhas, Klaus Turowski
Automation of Customer Initiated Back Office Processes: A Design Science Research Approach to link Robotic Process Automation and Chatbots. ACIS (2020)
Daniel Staegemann, Matthias Volk, Abdulrahman Nahhas, Mohammad Abdallah, Klaus Turowski
Exploring the Specificities and Challenges of Testing Big Data Systems. SITIS (2019)
Abdulrahman Nahhas, Sascha Bosse, Matthias Pohl, Klaus Turowski
Toward an Autonomic and Adaptive Load Management Strategy for Reducing Energy Consumption under Performance Constraints in Data Centers. CLOSER (2019)
Ahmad Alwadi, Abdulrahman Nahhas, Sascha Bosse, Naoum Jamous, Klaus Turowski
A Modernized Model for Performance Requirements and Their Interdependencies. AICCSA (2019)
Matthias Pohl, Abdulrahman Nahhas, Sascha Bosse, Klaus Turowski
Proof of Provision: Improving Blockchain Technology by Cloud Computing. CLOSER (2019)
Sascha Bosse, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski
Towards an Automated Optimization-as-a-Service Concept. IoTBDS (2019)
Abdulrahman Nahhas, Sascha Bosse, Daniel Staegemann, Matthias Volk, Klaus Turowski
A Holistic View of the Server Consolidation and Virtual Machines Placement Problems. SITIS (2019)
Abdulrahman Nahhas, Sascha Bosse, Klaus Turowski
Load distribution strategies for a sustainable IT resources management. MKWI (2018)
Abdulrahman Nahhas, Sebastian Lang, Sascha Bosse, Klaus Turowski
Toward Adaptive Manufacturing: Scheduling Problems in the Context of Industry 4.0. ES (2018)
Ahmad Alwadi, Abdulrahman Nahhas, Sascha Bosse, Naoum Jamous, Klaus Turowski
Toward a Performance Requirements Model for the Early Design Phase of IT Systems. ES (2018)
Paul Aurich, Abdulrahman Nahhas, Tobias Reggelin, Juri Tolujew
Simulation-based optimization for solving a hybrid flow shop scheduling problem. WSC (2016)