أ.د. بلقاسم عثامنة
مدير برنامج إدارة الأعمال
نظم المعلومات الادارية ، جامعة عنابة، الجزائر
Master, System Modeling and Analysis, Annaba University, Algeria
Bachelor (Engineer), Computer Engineering, Annaba University, Algeria
Multi-Agents Testing, System and Software Modeling and Analysis, System and Software Verification, Validation and Testing, Fault Detection and Isolation, Formal Methods, Petri nets Modeling and applications, Fuzzy logic Modeling and applications, Ontology in Multi-Agent
- Houhamdi Z. & Athamena B., (2020). Identity Identification and Management in the Internet of Things. International Arab Journal of Information Technology, 17(4A), 645-654.
- Houhamdi, Z., Athamena, B., & El Refae, G. (2020). Managing Asymmetric Information Effects in Decision-Making Productivity-Based Model. International Journal of Knowledge and Systems Science (IJKSS), 11(2), 86-107.
- Houhamdi, Z., Athamena, B., Abuzaineddin, R., & Muhairat, M. (2019). A Multi-Agent System for Course Timetable Generation. TEM Journal, 8(1), 211.
- Houhamdi, Z., & Athamena, B. (2019). Impacts of information quality on decision-making. Global Business and Economics Review, 21(1), 26-42.
- ATHAMENA, B., & HOUHAMDI, Z. (2018). Model for Decision-Making Process with Big Data. Journal of Theoretical & Applied Information Technology, 96(17).
- Athamena B. & Houhamdi Z. (2017). An Exception Management Model in Multi-Agents Systems. Journal of Computer Science, 13(5), 140-152.
- Mazouz A. & Athamena B. (2016). Quality Management Process Optimization. International Business Management, 10(28), 6462-6469.
- Houhamdi, Z., & Athamena, B. (2016). Data freshness evaluation in data integration systems. International Journal of Economics and Business Research, 11(2), 132-144.
- Athamena B. & Houhamdi Z. (2015). A Distributed Approach for Monitoring and Diagnosis of Multi-Agent Plan. IEEE - SAI Intelligent Systems Conference (IntelliSys), November 10-11, 2015, London, UK, 863-870.
- Laamari, Y., Chafaa, K., & Athamena, B. (2015). Particle swarm optimization of an extended Kalman filter for speed and rotor flux estimation of an induction motor drive. Electrical Engineering, 97(2), 129-138.
- Houhamdi Z. & Athamena B. (2015). Ontology-based Knowledge Management. International Journal of Engineering and Technology, 7(1), 51-62.
- Houhamdi Z. & Athamena B. (2015). Information Quality Framework. Global Business & Economics Anthology, I, 181-19.
Undergraduate: Database Management Systems, Project Management, Business System Analysis and Applications, Mathematics for Business, Business Data Communication, E-Commerce, Quality Management, Production and Operations Management, Introduction to Programming Languages, Introduction to Software Engineering, Human-Computer Interaction, Software Modeling and Analysis.
Graduate: System Analysis and Design, System/Software Verification, Validation and Testing, System Modeling using Fuzzy logic and neural network.
أهداف التنمية المستدامة المرتبطة بالخبرات
في عام 2015 اتفقت الدول الأعضاء في الأمم المتحدة على 17 هدفًا للتنمية المستدامة لإنهاء الفقر، وحماية الكوكب، وضمان الرفاه للجميع.
تساهم خبرة هذه الشخصية في أهداف التنمية المستدامة التالية:
Signal Processing and Automatic Control Laboratory, Annaba University, Algeria
Energetic Systems Modeling Laboratory, Biskra University, Algeria.
Retention Contracts under Partial Information Electoral Competition Case Study
أغسطس 01, 2022
This study copes with a class of principal-agent problems where information asymmetry represents an important characteristic. The paper examines the relationship between the principal and agents. The principal has to perform two agents’ screening and discipline tasks. To complete his duties, the principal lacks complete information concerning the agents’ behavior and rarely has partial information regarding the failure or success of launched tactics, alliances, rationalization, etc. We analyze the type of retention contracts (implicit) used by the principal to replace or retain agents. Consistent with literature findings, we demonstrated that agents could be extremely active in showing their competencies; the relationship between dismissal and bad performance is invalid; and occasionally, the principal dismisses qualified agents. Then we determined the rules under which electorates urge political parties to acquire information and choose optimal policies from the voter’s viewpoint.
Retention contracts with asymmetric information: optimistic approach vs pessimistic approach
أغسطس 01, 2022
Purpose: This paper aims to focus on the utilization of retention contracts to screen and discipline managers in a context in which the council, board of directors, possesses incomplete information about the consequences of managers’ decisions. The analysis enlightens us on empire building, on the slight connection between achievement and firing, and describes concerns about the belief that low achievements result from bad managers. Design/methodology/approach: This paper analyzes a basic model to show the resulting dilemmas. The desire to screen managers to enhance the organization's future well-being motivates managers to show their credentials by becoming excessively active. The council can address this bias by firing a manager whose project is proven to ruin value. Moreover, the council can replace the manager if he has implemented a project but its outcomes remain unobservable. Both decisions decrease the attraction to develop loss-generating projects. However, the dismissing decision on either ground will affect the council deduction that the expected competence of the incoming manager is lower than that of the dismissed manager. Findings: This study shows in which situation the selection option is preferred over the disciplining option using two different retention contracts: optimistic contract and pessimistic contract. Originality/value: This study shows in which situation the selection option is preferred over the disciplining option using two different retention contracts: optimistic contract and pessimistic contract.
Formal Approach to Data Accuracy Evaluation
يونيو 01, 2022
Usually, data quality is defined by multiple attributes that allow classifying the output data (such as completeness, freshness, and accuracy) or the methods exploiting these data (such as dependability, performance, and protection). Among the suggested quality attributes, we will discuss one of the principal categories: data accuracy. Scientific experiments, decision–making, and data retrieval are examples of situations that require a formal evaluation approach to data accuracy. The evaluation approach should be adaptable to distinct understandings of data accuracy and distinct end-user expectations. This study investigates data accuracy and defines dimensions and metrics that affect its evaluation. The investigation of data accuracy generates problems in the user expectation specification and database quality models. This work describes our proposed approach for data accuracy evaluation by defining an evaluation algorithm that considers the distribution of inaccuracies in database relations. The approach decomposes the query output in accordance with data accuracy, labels every part with its accuracy value, and addresses the possibility of enforcing data accuracy by using these values. This study mainly contributes by proposing an explicit evaluation of quality attributes of data accuracy, a formal evaluation approach to data accuracy, and suggesting some improvement actions to reinforce data accuracy. © 2022 Slovene Society Informatika. All rights reserved.
Multi-agents collaboration in open system
ديسمبر 01, 2021
Managing asymmetric information effects in decision making: Task complexity-based model
أكتوبر 01, 2020
This paper proposes a formal model to manage the impact of asymmetric information in decision-making by using principal-agent problems in which an agent (who has incomplete information) must decide to perform or not perform a task on behalf of the principal. After performing a complex (simple) task, the agent underrates (overrates) his competence. As a consequence of underestimation, a competent agent may decide to stop performing the task henceforth. The agent infers his competence from his productivity on a performed task. However, the productivity depends on both the agent's competence and the task complexity. To avoid this situation, the company appoints a mentor (fully informed superior agent) who can determine the task complexity and assess the agent's competence. Accordingly, the mentor matches the task complexity perfectly with the agent's competence. In cases where the mentor and the junior have different preferences, the mentor may not confess all information to the agent. Nevertheless, the mentor desires the agent to fulfill the task. This paper proposes a solution for all of these situations by using a mathematical model. The model assesses the agent's competence based on his productivity and the mentor's appraisal and assists the agent in making the right decision.
Identity Identification and Management in the Internet of Things
أغسطس 01, 2020
Henceforth, users agreed on the necessity of continuous Internet connection independently of the place, the manner, and the time. Nowadays, several elite services are accessible by people over the Internet of Things (IoT), which is a heterogeneous network defined by machine-to-machine communication. Despite the fact that the devices are used to establish the communication, the users can be considered as the actual producers of input data and consumers of the output data. Consequently, the users should be viewed as a smart object in IoT; therefore, user identification, authentication, authorization are required. However, the user identification process is too complicated because the users are worried to share their confidential and private data. on the other hand, this private data should be used by some of their devices. Accordingly, an equitable mechanism to identify users and manage their identities is necessary. In addition, the user plays an extreme important role in the establishment of rules needed for identity identification and in ensuring the continuity of receptive services.The main purpose of this paper is to develop a new framework for Identity Management System (IdMS) for IoT. The primary contributions of this paper are: the proposition of a device recognition algorithm for user identification, the proposition of a new format for the identifier, and a theoretical framework for IdMS.
Identity Management System Model in the Internet of Things
مايو 01, 2020
This paper describes the identity management system (IdMS) by defining system and user requirements. Additionally, it introduces the IdMS concept that approaches the things identity management. Moreover, the paper deeply describes the IdMS features using unified modelling language (UML) diagrams such as class, system, and sequence diagrams to show the main system functionalities. Ultimately, the suggested system is evaluated by comparing it with the existing systems and discussing the fulfilment of user and system requirements.
Managing Asymmetric Information Effects in Decision-Making Productivity-Based Model
أبريل 01, 2020
A Multi-Agent System for Course Timetable Generation
مارس 01, 2019
Impacts of information quality on decision-making
يناير 01, 2019
An Exception Management Model in Multi-Agents Systems
مارس 01, 2017
Data freshness evaluation in data integration systems
أبريل 01, 2016
INFORMATION QUALITY FRAMEWORK
سبتمبر 01, 2015
Particle swarm optimization of an extended Kalman filter for speed and rotor flux estimation of an induction motor drive
يونيو 01, 2015
A Petri Net Based Multi-Agent System Behavioral Testing
مارس 01, 2012
From graphical user interface to domain class diagram: a reverse engineering approach
فبراير 15, 2011
Fault detection and isolation in dynamic systems using statistical local approach and hybrid least squares algorithm
ديسمبر 01, 2007