Abdulrahman Nahhas

Orcid: 0000-0002-1019-3569

According to our database1, Abdulrahman Nahhas authored at least 42 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
On the Current State of Generative Artificial Intelligence: A Conceptual Model of Potentials and Challenges.
Proceedings of the 26th International Conference on Enterprise Information Systems, 2024

Imitation Learning Based on Deep Reinforcement Learning for Solving Scheduling Problems.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

Classifying Design Science Research in Terms of Types of Reasoning from an Epistemological Perspective.
Proceedings of the Design Science Research for a Resilient Future, 2024

2023
On the Integration of Google Cloud and SAP HANA for Adaptive Supply Chain in Retailing.
Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

Following the Digital Thread - A Cloud-Based Observation.
Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

Toward Standardization and Automation of Data Science Projects: MLOps and Cloud Computing as Facilitators.
Proceedings of the 15th International Joint Conference on Knowledge Discovery, 2023

A Hybrid Job Scheduling Approach on Cloud Computing Environments on the Usage of Heuristics and Metaheuristics Methods.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

Data Driven Meta-Heuristic-Assisted Approach for Placement of Standard IT Enterprise Systems in Hybrid-Cloud.
Proceedings of the 13th International Conference on Cloud Computing and Services Science, 2023

MLOps in Data Science Projects: A Review.
Proceedings of the IEEE International Conference on Big Data, 2023

A Survey of Technology Selection Approaches in Data Science Projects.
Proceedings of the 29th Americas Conference on Information Systems, 2023

2022
Addressing IT Capacity Management Concerns Using Machine Learning Techniques.
SN Comput. Sci., 2022

Toward A Lifecycle for Data Science: A Literature Review of Data Science Process Models.
Proceedings of the 26th Pacific Asia Conference on Information Systems, 2022

Deep Reinforcement Learning Techniques For Solving Hybrid Flow Shop Scheduling Problems: Proximal Policy Optimization (PPO) and Asynchronous Advantage Actor-Critic (A3C).
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

A Holistic View of Adaptive Supply Chain in Retailing Industry.
Proceedings of the 28th Americas Conference on Information Systems, 2022

Investigating different optimization criteria for a hybrid job scheduling approach based on heuristics and metaheuristics.
Proceedings of the Australasian Conference on Information Systems, 2022

2021
Methodological Case Study Approach for Detecting Business Model Enablers in Copycat Ventures.
Int. J. Organ. Collect. Intell., 2021

NeuroEvolution of augmenting topologies for solving a two-stage hybrid flow shop scheduling problem: A comparison of different solution strategies.
Expert Syst. Appl., 2021

Hybrid Approach for Solving Multi-Objective Hybrid Flow Shop Scheduling Problems with Family Setup Times.
Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus, 2021

Comparative analysis of machine learning models for anomaly detection in manufacturing.
Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus, 2021

Challenges in Data Acquisition and Management in Big Data Environments.
Proceedings of the 6th International Conference on Internet of Things, 2021

A Preliminary Overview of the Situation in Big Data Testing.
Proceedings of the 6th International Conference on Internet of Things, 2021

An adaptive scheduling framework for solving multi-objective hybrid flow shop scheduling problems.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

An adaptive scheduling framework for the dynamic virtual machines placement to reduce energy consumption in cloud data centers.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

2020
Scheduling Jobs in a Two-Stage Hybrid Flow Shop with a Simulation-Based Genetic Algorithm and Standard Dispatching Rules.
Proceedings of the Winter Simulation Conference, 2020

Quantitative Analysis of the Effects of Different Carbon Tax Levels on Emissions and Costs of Data Centers.
Proceedings of the Entwicklungen, 2020

Towards a Decision Support System for Big Data Projects.
Proceedings of the Entwicklungen, 2020

Open-source discrete-event simulation software for applications in production and logistics: An alternative to commercial tools?
Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), 2020

Determining Potential Failures and Challenges in Data Driven Endeavors: A Real World Case Study Analysis.
Proceedings of the 5th International Conference on Internet of Things, 2020

Classifying Big Data Taxonomies: A Systematic Literature Review.
Proceedings of the 5th International Conference on Internet of Things, 2020

Evolving Neural Networks to Solve a Two-Stage Hybrid Flow Shop Scheduling Problem with Family Setup Times.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

Comparative Study of e-Commerce Ventures: Copycat Enablers in Business Models.
Proceedings of the 2nd International Conference on Finance, 2020

Automation of Customer Initiated Back Office Processes: A Design Science Research Approach to link Robotic Process Automation and Chatbots.
Proceedings of the Australasian Conference on Information Systems, 2020

2019
Exploring the Specificities and Challenges of Testing Big Data Systems.
Proceedings of the 15th International Conference on Signal-Image Technology & Internet-Based Systems, 2019

A Holistic View of the Server Consolidation and Virtual Machines Placement Problems.
Proceedings of the 15th International Conference on Signal-Image Technology & Internet-Based Systems, 2019

Towards an Automated Optimization-as-a-Service Concept.
Proceedings of the 4th International Conference on Internet of Things, 2019

Proof of Provision: Improving Blockchain Technology by Cloud Computing.
Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019

Toward an Autonomic and Adaptive Load Management Strategy for Reducing Energy Consumption under Performance Constraints in Data Centers.
Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019

A Modernized Model for Performance Requirements and Their Interdependencies.
Proceedings of the 16th IEEE/ACS International Conference on Computer Systems and Applications, 2019

2018
Load distribution strategies for a sustainable IT resources management.
Proceedings of the Multikonferenz Wirtschaftsinformatik 2018: Data driven X, 2018

Toward Adaptive Manufacturing: Scheduling Problems in the Context of Industry 4.0.
Proceedings of the Sixth International Conference on Enterprise Systems, 2018

Toward a Performance Requirements Model for the Early Design Phase of IT Systems.
Proceedings of the Sixth International Conference on Enterprise Systems, 2018

2016
Simulation-based optimization for solving a hybrid flow shop scheduling problem.
Proceedings of the Winter Simulation Conference, 2016


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