The 2021 IEEE 1st International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering MI-STA'2021 is an innovative Meeting, covering all aspects of automatic control and computer engineering, Computer Technologies and Applications, Renewable Energy, Smart Grid and Mechatronics. The core track is accompanied by a series of workshops and poster sessions. Papers accepted and presented at MI-STA'2021 will be published in the conference printed proceedings and will be submitted for possible inclusion in IEEE Xplore Digital Library. Authors of selected papers accepted for publication in MI-STA'2021 proceedings will be invited to submit an extended version of their papers to the conference related journals. The conference MI-STA'2021 is organized by the Open Univesity of Libya and the Laboratory Lab-STA (Sfax, Tunisia) with the participation of several Laboratories such as, LIAS (Poitiers, France), MIS (Amiens, France), CRIStAL (Lille, France), The conference has technical Co-sponsorship IEEE Tunisia Section, IEEE CSS Tunisia Chapter and IEEE SSCS Tunisia Chapter, The MI-STA'2021 technical program will have different types of sessions: plenary lectures (given by leading experts in the field), regular and invited sessions, tutorial sessions, and special sessions along with workshops and exhibits.
To submit a paper to MI-STA'2021, please read the entire submission instructions carefully to verify that your paper document is formatted correctly and that you have all the information you need before starting your paper submission. The following sections contains detailed instructions on formatting your document and completing the submission process, as well as a description of how the review process works and how to prepare for your presentation at the conference if your paper is accepted.
Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference.
Accepted and presented papers as well as conference content will be submitted for inclusion into IEEE Xplore as well as other Abstracting and Indexing (A&I) databases.
Papers submitted to MI-STA'2021 will be automatically checked for plagiarism (including self-plagiarism) using electronic databases, including other submissions to the same conference. Severe cases of plagiarism will result in rejection of a manuscript. The most common mistake by authors is cutting and pasting from previous versions of manuscripts describing earlier stages of the same work. The following link provides helpful and detailed guidelines for identifying and handling instances of plagiarism http://www.ieee.org/publications_standards/publications/rights/plagiarism.html
To help ensure correct formatting, please use the standard IEEE Transactions templates for Microsoft Word or LaTeX formats found the link below as templates for your submission.https://www.ieee.org/conferences/publishing/templates.html
As the page indicates, IEEE has recently revised their LaTeX templates. If you had previously downloaded these templates please revisit this site to access the latest version.
All submitted papers will be judged based on their quality and relevance through double-blind reviewing process, where the identities of the authors are withheld from the reviewers. As an author, you are required to preserve the anonymity of your submission, while at the same time allowing the reader to fully grasp the context of related past work, including your own. Common sense and careful writing will go a long way towards preserving anonymity. Papers that do not conform to our double-blind submission policies will be rejected without review.
IEEE policy requires that, prior to publication, all authors or their employers must transfer to the IEEE any copyright they hold for their individual papers. Transferring copyright is a necessary requirement for publication, except for material in the public domain or which is reprinted with permission from a previously published, copyrighted publication.
You will be automatically directed to generate your copyright. The copyright must be hand signed and sent to MI-STA’2021 with the Camera-ready papers
Click to downlowad a pdf version for the Authors Guide.
The online paper submission system is now open. Submitted papers should be uploaded through the Easychair conference management system. To submit your paper, please follow the instructions below.
member/ IEEE Libya Antennas and Propagation & Communications Joint Societies Chapter Chair
IEEE Tunisia Section Past Chair
IEEE Libya CS/SP Chapter Chair
Technical Program Chair
Professor and Chairperson
Talk Title: Computational Intelligence Technique-Based Development and Control of Industrial Drives: Hardware/Software Implementation
A fuzzy-neural-network Promotional-Integral (PI)-and Promotional-Derivative (PD)-type control design is offered to replace the industrial Promotional-Integral-Derivative (PID) controller, adds a self-learning capability to the initial fuzzy design for operational adaptively, and implements the solution on real hardware using an industrial test-bed system. First, the proposed solution is to use fuzzy logic-based decision structures to mimic the PI and PD elements of a PID controller in parallel. The fuzzy decision engines seek to improve response by executing custom actions per the combinations of fuzzy sets of the input parameters to the logic. Operational knowledge of the physical meaning of the fuzzy input set combinations and the necessary control response form the basis for the fuzzy rules design. Second, a fuzzy-neural-network (FNN) structure that replaces the fuzzy logic in the control design and allows for the capability for self-tuning of the weights and memberships of the input parameters is introduced. This leads to selection of a learning algorithm for training the networks. The design implements the novel use of the extended Kalman filter (EKF) to train FNN structures as part of the PI-/PD-like fuzzy design. The benefits of the proposed control providing access to the fuzzy rules online and the proper execution of the updates are improved control law maintenance operations. A test bench enables design implementation in the laboratory on hardware using a dSPACE DS1104 DSP and MATLAB/Simulink environment. Experimental testing results show that the proposed controller robustly responds to a wide range of operating conditions in real time. The motor drive over time is subject to experience degradation of mechanical parts or even electrical characteristics, and the ability to automatically adapt the control laws to these changes is a feature that a non-adaptive fuzzy controller does not have.
AHMED RUBAAI received the M.S.E.E degree from Case Western Reserve University, Cleveland, OH, and the Dr. Eng. degree from Cleveland State University, Cleveland, OH, in 1983 and 1988, respectively. In 1988, he joined Howard University, Washington, DC, as a faculty member, where he is presently a Professor and Chairperson of the Electrical Engineering and Computer Science Department. Dr. Rubaai has been named an IEEE Fellow in 2015. As an Educator, Dr. Rubaai has been an acknowledged educator and leader of curriculum development at Howard University for more than two decades. He is the Founder and Lead Developer of Motion Control and Drives Laboratory that provides engineering students with valuable hands-on and "real-world" experiences.” In recognition of his scholarly work and dedication to the improvement of engineering education, his work is recognized by the larger community of engineering educators, as verified by his receipt of the 2011 ASEE Robert G. Quinn Award and the Distinguished Educator Award of the Middle-Atlantic Section of the American Society for Engineering Education. This recognition is a clear demonstration and confirmation of his peers’ high regard for his contributions to engineering education. As a researcher, Dr. Rubaai has made significant contributions to the development and control of electric motor drives for industrial system applications in a variety of roles including scientist, research engineer, university professor, and as IEEE volunteer and leader. Most of these contributions are heavily oriented towards industrial applications that IEEE serves. Of importance is his development of control technologies by way of intelligence; laying the technological foundations for the production versions of high-performance drives used in an expansive array of industrial, commercial, and transportation applications today. His work covers a broad range of manufacturing and product applications and exemplifies his ability to bridge between academic research and the application to industrial applications. The bridges that Dr. Rubaai has built between industry and academia represent a uniquely valuable contribution that can be matched by very few others in the academic world today.
Talk Title: Integrating Process Optimization with Model Predictive Control
Cesar de Prada is Emeritus Professor with the department of Systems Engineering and Automatic Control, in the School of Industrial Engineering, University of Valladolid, Spain. He received the Spanish Committee of Automatics award in 2016 and the ISA-Spain award to the professional 2008. He was also Manager of the Industrial and Design and Industrial Production research programmes of the Spanish Ministry of Science and Technology between 2000-04. His fields of interest focus on the control and dynamic optimization of process systems, as well as in modelling and simulation, having published more than 150 journal papers and book chapters and 260 international conference communications. His research topics are now focused on optimal management of large-scale systems, considering aspects such as scheduling, RTO, presence of uncertainty and hybrid continuous-discrete elements and hybrid model developments. The research combines the development of methods and algorithms with industrial applications and active participation in EU projects.
IEEE Senior Member, IEEE R8 Conference Coordination, Committee Chair Head of Computer Science and Communications Department University of Sfax, Tunisia
Talk Title: Driving Vitality for IEEE Libya Section
Is your subsection conducting vibrant, engaging activities for members and the public? Is it serving as a solid foundation for Chapter activities and interactions within your Country? What are the key performance indicators that can measure your organizational unit’s vitality? Learn how to use these indicators to help your subsection improve communication with members, enhance membership value, and improve member satisfaction. The vitality of your subsection will help to upgrade soon to section level
Habib M. Kammoun (IEEE Senior Member’15) received a PhD degree in computer science from the National Engineering School of Sfax (ENIS), University of Sfax, Tunisia. He is an Assistant Professor with the Department of Computer Science, Faculty of Sciences - University of Sfax, Tunisia. Habib is currently the head of the Virtual Education UVT Department at the University of Sfax. Habib is member of the REGIM-Lab. (Research Groups in Intelligent Machines, University of Sfax, Tunisia) and member of the MIR Labs (Machine Intelligence Research Labs, USA). His research interests include soft computing, computational intelligence, intelligent transportation systems, and smart cities. Habib is a program committee member within IEEE conferences and journals. Habib is the past secretary of the IEEE Africa Council, past chair of IEEE Tunisia section, member of the Computational Intelligence Society chapters’ committee, member of the IEEE Nominations and Appointment committee, and volunteer in several other IEEE committees. He organized several IEEE international conferences and he received IEEE awards; recently the 2018 IEEE Region 8 Volunteer Award, 2016 IEEE MGA Outstanding large section award, 2015 IEEE R8 Outstanding large section award, 2014 IEEE R8 Young Professionals Exceptional Volunteer award, and 2013 IEEE Volunteer Leadership Training award
IEEE Region 8 Director
Talk Title: congratulate for the organization of the MI-STA conference
Antonio Luque is 2021–2022 IEEE Region 8 Director. He received the M.Sc. and Ph.D. degrees in electrical engineering from the University of Seville, Seville, Spain, in 2000 and 2005, respectively. He currently holds the position of Associate Professor in the Department of Electronics Engineering, University of Seville. He has authored 20 journal papers, 40 conference papers, 3 book chapters, and a text book, in addition to supervising several PhD students. He has been invited researcher and teacher at the Swiss Federal Institute of Technology Lausanne (Switzerland), Auburn University (AL,USA), Delft University of Technology (Netherlands), Jade University (Germany), Harbin Institute of Technology (China) and Tech Institute of Monterrey (Mexico). He was a recipient of the Burgen Scholarship from the Academia Europaea in 2007.
Full Professor in computer engineering at the University of Milan
Talk Title: Artificial Intelligence in Cloud/Fog/Edge Computing and Internet-of-Things
Recent years have seen a growing interest among users in the migration of their applications to the Cloud/Fog/Edge computing and Internet-of-Things environments. However, due to high complexity, Cloud/Fog/Edge-based and Internet-of-Things infrastructures need advanced components for supporting applications and advanced management techniques for increasing the efficiency. Adaptivity and autonomous learning abilities become extremely useful to support configuration and dynamic adaptation of these infrastructures to the changing needs of the users as well as to create adaptable applications. This self-adaptation ability is increasingly essential especially for non-expert managers as well as for application designers and developers with limited competences in tools for achieving this ability. Artificial intelligence is a set of techniques which greatly can improve both the creation of applications and the management of these infrastructures. This talk will discuss the use of artificial intelligence in supporting the creation of applications in cloud/fog/edge and IoT infrastructures as well as their use in the various aspects of infrastructure management
Vincenzo Piuri has received his Ph.D. in computer engineering at Polytechnic of Milan, Italy (1989). He is Full Professor in computer engineering at the University of Milan, Italy (since 2000). He has been Associate Professor at Polytechnic of Milan, Italy and Visiting Professor at the University of Texas at Austin, USA, and visiting researcher at George Mason University, USA. His main research interests are: artificial intelligence, computational intelligence, intelligent systems, machine learning, pattern analysis and recognition, signal and image processing, biometrics, intelligent measurement systems, industrial applications, digital processing architectures, fault tolerance, cloud computing infrastructures, and internet-of-things. Original results have been published in 400+ papers in international journals, proceedings of international conferences, books, and book chapters. He is Fellow of the IEEE, Distinguished Scientist of ACM, and Senior Member of INNS. He is President of the IEEE Systems Council (2020-21) and IEEE Region 8 Director-elect (2021-22), and has been IEEE Vice President for Technical Activities (2015), IEEE Director, President of the IEEE Computational Intelligence Society, Vice President for Education of the IEEE Biometrics Council, Vice President for Publications of the IEEE Instrumentation and Measurement Society and the IEEE Systems Council, and Vice President for Membership of the IEEE Computational Intelligence Society. He has been Editor-in-Chief of the IEEE Systems Journal (2013-19). He is Associate Editor of the IEEE Transactions on Cloud Computing and has been Associate Editor of the IEEE Transactions on Computers, the IEEE Transactions on Neural Networks, the IEEE Transactions on Instrumentation and Measurement, and IEEE Access. He received the IEEE Instrumentation and Measurement Society Technical Award (2002) and the IEEE TAB Hall of Honor (2019). He is Honorary Professor at: Obuda University, Hungary; Guangdong University of Petrochemical Technology, China; Northeastern University, China; Muroran Institute of Technology, Japan; Amity University, India; and Galgotias University, India.
In order for a paper to be published in the IEEE Xplore & in Scopus Indexing, at least one of the authors from each paper must pay the full registration fee and attend the conference to present the paper.
Conference registration includes: access to all technical sessions, invited speakers, lunches, coffee breaks, the reception, Conference materials and Social events
* IEEE members should send their IEEE membership id to: firstname.lastname@example.org
** Students must provide concurrently with the Registration Form an official university letter confirming their status as full-time students and the degree program they are enrolled in.
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