Introduction Topics of Interest Special Sessions Submission Instructions Registration Fees Cultural Trips The 2027 IEEE International Conference on Smart Sustainable Systems for Computer and Engineering Applications (3SCEA2027) 20-22 April 2027, Alexandria, Egypt Important Dates Paper submission deadline: December 20, 2026 Author notification: January 15, 2027 Camera-ready submission: January 24, 2027 All deadlines are 11:59pm Cairo Time (GMT+3) Submission Portal: https://cmt3.research.microsoft.com/3SCEA2027 Download Call for Papers (CFP) Introduction It is our great pleasure to invite you to attend and submit papers to the 2027 IEEE 2nd International Conference on Smart Sustainable Systems for Computer and Engineering Applications (3SCEA2027), which will be held at April 20-22, 2027, Alexandria, Egypt. 3SCEA2027, partially sponsored by IEEE Egypt Section, a premier global event dedicated to exploring cutting-edge technologies and innovations that merge smart systems with sustainability. As we face unprecedented global challenges in both environmental sustainability and technological advancements, the role of smart systems in shaping the future of engineering applications has never been more critical.  The 3SCEA2027 conference brings together thought leaders, scientists, engineers, practitioners, researchers, industry professionals, and policymakers to present their latest research results and discuss novel technologies that are transforming industries and communities in a sustainable direction. The conference highlights advancements in all areas of Artificial Intelligence (AI) and machine learning, Internet of Things (IoT) for smart infrastructure, green computing and energy-efficient technologies, cyber-physical systems for smart engineering, renewable energy systems and smart grids, sustainable materials and advanced manufacturing. 3SCEA2027 seeks to create a collaborative environment that fosters knowledge exchange and innovation, driving the adoption of sustainable solutions in computer science and engineering applications. By bringing together the brightest minds in academia, industry, and government, we aim to accelerate the development and implementation of smart sustainable systems that address the pressing needs of today and the future. We invite you to join us at 3SCEA2027 and be a part of shaping the future of sustainable engineering and technology. The conference will feature technical paper presentations and distinguished keynote speeches. Topics of Interest The 3SCEA 2027 conference will feature 8 tracks, dedicated to showcasing the latest topics in computational and mathematical algorithms for sustainable systems. Submissions should address challenges and opportunities across the full spectrum of computing, software and infrastructure, including but not limited to: Track 1: Advances in AI and Machine Learning Technologies for Sustainability: Next-Generation Machine Learning Algorithms for Sustainability Explainable AI (XAI) for Sustainable Systems Federated Learning for Distributed Sustainable Data Energy-Efficient and Low-Carbon AI Algorithms Neural Architecture Search (NAS) for Sustainable AI Models Transfer Learning and Multi-task Learning for Sustainability Advanced Optimization Methods for Sustainability Models Self-Supervised Learning for Sustainable Systems Reinforcement Learning for Sustainability-Driven Optimization Robust Machine Learning for Sustainable Decision Making Graph-Based Machine Learning Methods for Sustainable Systems Synthetic Data Generation for Sustainability Modeling Data Fusion and Multi-source Data Integration for Sustainability Multimodal Large Language Models (LLMs) and LLM-based frameworks for Sustainable Systems AI for Sustainability and Ethical Considerations Meta-learning for Sustainable Machine Learning Systems Track 2: Cybersecurity, Digital Privacy and Blockchain for Sustainable Systems: Advanced Cryptography for Digital Privacy in Sustainable Systems Blockchain Consensus Algorithms for Sustainability Decentralized Identity Management and Privacy-Preserving Protocols Blockchain Interoperability and Cross-Chain Communication for Sustainability Distributed Ledger Technologies for Sustainable Data Integrity and Auditability Blockchain Privacy Solutions for Sustainable Systems Secure Smart Contracts and Privacy-Preserving Protocols AI-Driven Cybersecurity for Blockchain and Sustainable Systems Blockchain Scalability and Efficiency Challenges in Sustainable Systems Zero Trust Architectures for Cybersecurity in Sustainable Digital Systems Blockchain for Secure and Transparent Digital Governance in Sustainability Quantum-Resistant Cryptography for Sustainable Blockchain Systems Blockchain Data Provenance for Sustainability Blockchain for Digital Privacy in Sustainable IoT Systems Track 3: Internet of Things (IoT), Edge, Fog and Cloud Computing for Sustainability: Energy-Efficient Computing, Communication, Architectures and Protocols Resource Optimization in Distributed Systems Computation Offloading and Resource Orchestration Edge and Fog Computing for Real-time Data Processing Cloud-based Solutions for Sustainability in Smart Infrastructures IoT-enabled Smart Grids and Energy Management Systems Energy-efficient IoT Solutions for Environmental Sustainability IoT-driven Circular Economy Model Sustainable Network Design and Networking Protocols Sensing and Actuation for Environmental Intelligence Data Analytics across the Edge–Cloud Continuum Sustainability-centric Modeling and Simulation models and Performance Evaluation for IoT–Edge–Cloud systems Track 4: Autonomous Systems and Robotics for Sustainable Engineering: Autonomous Vehicles and Sustainable Transportation Systems Sustainable Robotics Design and Manufacturing Autonomous Systems in Renewable Energy Energy-Aware Autonomy Autonomous Drones and Robotics for Environmental Monitoring and conservation Sustainable Robotics for Smart Manufacturing Sustainable Infrastructure and Maintenance Autonomous Systems for Water, Waste Management and Recycling Autonomous Systems for Smart Cities and Urban Sustainability Construction & Disaster-Resilient Systems Human-Robot Collaboration for Sustainability Systems Integration and Multi-Agent Autonomy Control Systems and AI for Sustainable Autonomy Smart Agriculture and Precision Farming with Robotics Autonomous Farming for Sustainable Food Systems Policy, Ethics, Societal-scale Impact and Governance Track 5: Quantum Computing in Sustainable Engineering and Smart Systems: Quantum Algorithms for Optimization in Sustainable Systems Quantum Machine Learning (QML) for Sustainability Engineering Applications Quantum Computing Architectures and Energy Efficiency Quantum Simulation in Materials and Energy Systems Quantum Communication and Security Protocols for Smart Infrastructure Hybrid Quantum-Classical Architectures for Smart Systems Quantum Sensing and Metrology for Sustainable Monitoring Quantum-Aided Control and Decision-Making Systems Quantum Communications for Sustainable ICT Metrics, Benchmarking, Modeling and Evaluation for quantum applications in sustainable engineering Track 6: Mathematical and Computational Modeling for Sustainable Complex Systems: Stochastic Processes and Models in Complex Systems Mathematical Modeling of Dynamical Systems Numerical / approximation methods Algorithmic and computational complexity Large-scale optimization Fluid computational dynamics Molecular modeling Computational Methods for Deep Learning and AI Bioinformatics Fractional Analysis and Control Systems Mathematical Models and AI Methods For Analyzing Biological Data Fractional Calculus for Designing Control Environmental Systems Track 7: Smart Applications for Sustainability: Smart Transportation and Sustainable Mobility Systems Smart and Precision Agriculture and Food Systems Smart Healthcare Systems Smart Cities and Urban Sustainability Renewable Energy Systems and Smart Grids Sustainable and Advanced Materials Sustainable Industry and Manufacturing (Industry 5.0) Circular Economy and Waste Management Technologies Change Mitigation and Smart Adaptation Systems Climate Monitoring and Environmental Intelligence Smart Water Management and Conservation Systems Generative and Responsible AI for Sustainability  Track 8: Technologies for Enhanced and Connected Agriculture (TechAgri): AI-based crop disease detection, yield prediction, and resource optimization AI-driven decision support systems Autonomous robots for harvesting, monitoring, and maintenance Blockchain for supply chain transparency and traceability IoT applications for real-time soil, water, and climate monitoring Intelligent control and automation systems Mobile and digital platforms for precision agriculture Data analytics, integration, and visualization in smart farming Optimization of water, fertilizer, and energy usage using AI Drone technologies and computer vision for crop monitoring Special Sessions (co-located in IEEE 3SCEA2027, included in conference proceedings)   SS1: Sustainable Governance and Social Responsibility based on Artificial Intelligence Approaches (SGSR-AI) Co-Chairs: Nader Abdelmalek, Cyprien Gilet, Marie-Hélène Abel, University of Technology of Compiègne, France Description Sustainable development and Social Responsibility are challenging for organizations. It can improve organizational resilience, create economic value and contribute to a healthy ecosystem and a strong community. As more and more organizations adopt sustainable development, they will need to apply higher governance standards and gain a thorough understanding of their social and environmental impact in order to remain competitive and responsible. A robust approach to sustainable development requires a clear strategy, good governance and high-quality corporate reporting that addresses the full range of environmental, social and governance (ESG) issues. The goal of the SGSR-AI workshop is to provide a forum for researchers and practitioners involved in different and complementary AI domains to confront research results and discuss key problems regarding SGSR.   The scope of SGSR-AI includes, but is not limited to the following topics:   Information and Knowledge System: Structuring and managing heterogeneous data to support reporting and planning. Ontology-based systems: Formalizing concepts and relationships (e.g., SDGs, taxonomies, etc.) to enable semantic interoperability and automated reasoning. Decision support systems: Aiding stakeholders in navigating complex trade-offs between economic, environmental, and social objectives through computational models. Context-Aware Systems: Leveraging real-time situational data to deliver dynamic and adaptive sustainable solutions. LLM and ethics: Investigating the ethical dimensions of applying Large Language Models to sustainability. Hybrid AI: Integrating symbolic reasoning with data-driven machine learning to create more robust and interpretable models for complex sustainability challenges. Frugal AI: Designing computationally efficient AI systems that minimize their own environmental footprint while addressing sustainability problems. Robust Machine Learning: Developing models that maintain high performance and reliability when faced with the noisy, incomplete, or adversarial data common in sustainability applications. XAI (Explainable AI): Enhancing the transparency and auditability of AI-driven sustainability decisions to foster trust, accountability, and regulatory compliance. Bioinformatics: Development or use of AI algorithms/software for understanding and processing biological data, particularly when the datasets are large and complex, to enhance sustainable development and social responsibility. SS2: Artificial Intelligence for Secure, Trustworthy & Resilient Autonomy (AISTRA) Co-Chairs: Besma Zeddini, Thierry Garcia, Jordy Palafox, CY Tech – CY Cergy Paris Université, France Description Artificial Intelligence (AI) has become the cornerstone of modern smart systems, ranging from intelligent infrastructures and healthcare platforms to mobility networks and advanced industrial ecosystems. As these systems evolve toward autonomy, decentralization, and large-scale real-world deployment, ensuring trustworthiness, security, explainability, resilience, and energy efficiency becomes a critical challenge. The Workshop seeks to address how AI technologies can be designed, validated, and governed to build human-centered, secure, and sustainable intelligent systems, particularly through distributed intelligence, federated and frugal learning, and multi-agent coordination. Complementary to the main conference tracks, this workshop focuses on the intersection of AI, Cybersecurity, and Sustainability, a rapidly growing research frontier within IEEE communities (AI, IoT, SMC, ITS). It will explore how AI-enhanced cybersecurity approaches can strengthen resilience, trust, and energy efficiency in critical infrastructures and connected environments, including smart mobility, smart cities, industrial IoT, and cloud- edge ecosystems. The workshop will bring together researchers and doctoral students to discuss frameworks, architectures, and evaluation methodologies enabling intelligent systems that are safe, explainable, socially responsible, and environmentally conscious. The scope of AISTRA includes, but is not limited to the following topics: Trustworthy, explainable, and human-in-the-loop AI AI for secure and privacy-preserving smart systems decentralized learning for secure IoT/Cloud/Edge architectures Federated and multi-agent learning for cyber resilience Frugal and energy-efficient AI models for embedded and IoT systems Trust, safety and explainability in AI-driven infrastructures AI-driven cyber-resilience and adaptive defense mechanisms Data governance, digital ethics, and responsible AI policies Cognitive and socio-technical security in intelligent environments Cyber-physical security and digital twins for sustainable cities and mobility AI for Smart Energy Systems SS3: Smart, Open & Sustainable Digital Learning Systems (1st Edition)  (Digital SOUL) Co-Chairs: Lilia Cheniti Belcadhi, PRINCE Research Lab, Sousse University, Tunisia, Ghada El Khayat, Alexandria University Egypt   Description Artificial Intelligence (AI), digital technologies, and open approaches to education have the potential to address some of today’s most pressing educational challenges, transform teaching and learning practices, and accelerate progress toward Sustainable Development Goal 4 (SDG 4), which calls for inclusive, equitable and quality education and lifelong learning opportunities for all.   Our session Smart, Open and Sustainable Digital Learning Systems (Digital SOUL 2027) aims to bring together researchers, academics, experts and practitioners working on the modelling, design, development, prototyping, implementation and evaluation of innovative learning systems and technologies. Particular attention will be given to the contributions of Artificial Intelligence, Knowledge Engineering, Information Systems, and Computer Science to the development of smart, open, and sustainable learning systems.   Digital SOUL 2027 welcomes research that explores how digital and intelligent technologies can contribute to widening access to education, reducing digital and educational inequalities, supporting lifelong learning, empowering educators and learners, and promoting education for sustainable development are particularly encouraged. In line with the scope of the hosting conference, special attention will be given to research connecting AI and knowledge-based technologies with the Sustainable Development Goals, with particular emphasis on SDG 4. The session also welcomes contributions addressing the opportunities and challenges of emerging technologies—including generative AI—in building the next generation of smart, open, and sustainable learning systems.   SOUL 2027 seeks to provide a multidisciplinary forum for discussing how Computer Science and Information Systems can contribute to the evolution of open and sustainable education, moving from technology-enhanced learning toward intelligent, inclusive and human-centered learning ecosystems.   The scope of Digital SOUL includes, but is not limited to the following topics: AI-Supported Teaching and Educator Empowerment Artificial Intelligence and Large Learning Models for Smart Adaptive Learning Systems Digital Transformation and Smart Education Information Systems Emerging Technologies for Next-Generation Learning Ethics, Governance, Privacy and Security in AI-Enabled Education Evaluation and Impact of Smart Learning Technologies Human-Centered and Responsible AI in Education Innovative Models and Architectures for Smart, Open and Sustainable Learning Systems Knowledge Engineering for Education Lifelong Learning and Digital Skills Open Accessible Digital Learning for Equality, Inclusion and Sustainable Development Goals Smart Learning in Developing and Low-Resource Contexts Sustainable Open Science and Open Educational Resources Technology and Open Licensing for Sustainable Education Virtual Labs and Sustainable Education Submission and Publication Instructions Accepted papers will be included in the conference proceedings published in IEEE Xplore digital library covered by Scopus and EI indexing. The 3SCEA 2027 calls for the following types of submissions. We encourage contributions with a mix of authors from industry, academia, and government offering innovative solutions and real-world insights: Regular Papers: Novel and mature research work (4000-6000 words, up to 10 pages including references). Short Papers: Work in progress with some validation results, experience reports, new ideas and visionary papers based on supporting theory or evidence, and application papers (2500-3000 words, up to 6 pages including references). Applications/Industrial Papers: Practical case studies, benchmark tools, and empirical studies addressing real-world industrial challenges (2500-3000 words, up to 8 pages including references). PhD Posters: doctoral students can showcase their research to highlight their ongoing work and innovative contributions of PhD candidates in the field, providing an interactive platform for students to engage with the academic community, receive feedback, and exchange ideas with experts and peers (up to 2 pages including references).   (Download Poster Template) High School and Undergraduate University Students Short Papers: Provide an exciting opportunity for young researchers to present their innovative ideas and projects within the realms of computer science and engineering. This submission type is specifically designed for students who are still in the early stages of their academic careers but are passionate about contributing to the development of sustainable technologies and solutions. The session aims to encourage the next generation of researchers to engage in cutting-edge topics in a supportive and dynamic environment (2500-3000 words, up to 5 pages including references). We invite you to contribute original, unpublished, high-quality manuscripts. The 3SCEA 2027 will not accept submissions that have been previously published, are in the press, or parallelly submitted elsewhere. Any article that includes AI-generated content (e.g., text, figures or algorithms) is not accepted. Authors must ensure that their submissions are original and do not contain any plagiarized content. Any instances of plagiarism or unethical behavior will result in immediate rejection of the paper. All submissions will be checked for originality using anti-plagiarism and anti-AI generation software. Additional submission guidelines are available at Submission Policies – IEEE Author Center Conferences. Papers should be written in English (10-point font, A4 size paper). Submissions are made via Microsoft CMT and must be in the double-column standard IEEE format for conference proceedings. For your submission, please use the standard IEEE Transactions templates for Microsoft Word or LaTeX formats found at: https://www.ieee.org/conferences/publishing/templates All types of papers should strictly follow the page limit constraint to be considered as eligible for review. The defined page limit should include the paper, figures, tables, and references. The steps for submitting a paper are as follows: Papers must be submitted in PDF format, using the following Microsoft CMT link: https://cmt3.research.microsoft.com/3SCEA2027 The 3SCEA 2027 will employ a double-anonymous review process. Therefore, submissions may not reveal the identity of their authors. The authors must make every effort to adhere to the double-anonymous review process. Papers are evaluated based on originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability. Authors will receive feedback and may be asked to revise their papers accordingly. All authors listed in a paper should be added to the CMT submission portal. Authorship cannot be modified after submission. For double-anonymous review process, it is the responsibility of authors to submit a blind version, without the authors’ names. Best Paper Award The IEEE 3SCEA2027 Conference Organizing Committee will select 3 papers for the Best Paper Award (1st Rank, 2nd Rank and 3rd Rank). The selection will be based on the established review criteria: originality, technical soundness, potential impact, significance, and quality of presentation. The Best Paper Award certificates and gifts will be presented in person during the conference. Registration Fees and Presentation Policy At least one author per accepted paper must register and present the paper at the conference. No show policy of IEEE will be applied on the non-presented papers. Category Early Registration Before 24th Jan 2027 Late Registration After 24th Jan 2027 Foreigner Participants Non-IEEE Author (Regular Registration)* 400 EUR 500 EUR IEEE member Author  (Regular Registration) * 350 EUR 450 EUR Student Author ** 300 EUR 400 EUR PhD Posters 200 EUR 300 EUR Online Presentation 250 EUR 350 EUR One additional paper for the same Author (Upon Regular Registration) 300 EUR 400 EUR Non-Author Participant per day 150 EUR Extra page exceeding limit per page 25 EUR Egyptian Participants Non-IEEE Author (Regular Registration)* 5,000 EGP 6,000 EGP IEEE member Author (Regular Registration)* 4,500 EGP 5,500 EGP Student Author ** 4,000 EGP 5,000 EGP PhD Posters 3,000 EGP 4,000 EGP One additional paper for the same Author (Upon Regular Registration) 4,000 EGP 5,000 EGP Non-Author Participant per day 2,500 EGP Extra page exceeding limit per page 500 EGP ** The student is the First Author and the Corresponding Author, upon providing student card or formal document. Student Registration includes access to all conference sessions, conference material, lunches, and coffee breaks. * Regular Registration fee includes access to all conference sessions, conference material, lunches, coffee breaks, and welcome reception. –  Welcome reception can be purchased extra for Students and Accompanying Persons. – Touristic cultural Trips for Conference Participants are purchased extra, including transportations.    On site payment is available on the conference first day, late registration fees apply + 50 EUR (for foreigners) or 500 EGP (for Egyptians). All payments are expected through Bank Transfer to one of these accounts: Foreigner Participants in EUR: Account Number: 11019780033952 Account Currency: EUR Account Name: UNIVERSITE FRANCAISE D’EGYPTE Bank Name: Credit Agricole Egypt Bank Address: Madinaty Air Mall Branch, Cairo, Egypt EUR IBAN EG060036000100011019780033952 Egyptian Participants in EGP: Account Number: 11018180339428 Account Currency: EGP Account Name: UNIVERSITE FRANCAISE D’EGYPTE Bank Name: Credit Agricole Egypt Bank Address: Madinaty Air Mall Branch, Cairo, Egypt EGP IBAN EG390036000100011018180339428 Conference Chairs Sherin Moussa (sherin.moussa@ufe.edu.eg), Université Française d’Égypte Ahmed Madian (amadian@nu.edu.eg), IEEE Egypt Section Chair Organizing Committee & Track Chairs Ahmed Magdy, SCU, Egypt Alessandro Correa-Victorino, UTC, France Asmaa Saafan, NTI, Egypt Besma Zeddini, CY Tech, France Cyprien Gilet, UTC, France Fabrice Duval, CESI, France Ghada Jaber, UTC, France Ghazal Fahmy, NTi, Egypt Ibrahim Gomaa, NTI, Egypt John Fayez, GIU, Egypt Keun-woo Lim, Telecom Paris, France Layth Sliman, Efrei Paris, France Mahdi Zargayouna, Uni-Eiffel, France Mohamed Ibrahim, ASU, Egypt Mohamed Marey, MUST, Egypt Mohamed Waleed Fakhr, TKH, Egypt Mustafa Shiple, NTI, Egypt Raoudha Ben Djemaa, ISITCOM, Tunisia Rima Hleiss, CESI, France Rouwaida Abdallah, CEA, France Samir Ouchani, CESI, France Soad Bakry, ASU, Egypt Stefano SECCI, Le CNAM, France Yara Maher, UFE, Egypt Yasmin Adel, UFE, Egypt Program Committee Ahed Alboody, CESI LINEACT Laboratory, France Ahmed Sherif, University of Southern Mississippi, USA Ahmed Senouci, University of Houston, USA Ahmed Dahroug, AASTMT, Egypt Ahmed Asker, EJUST, Egypt Ahmed Gaffer, Electronics Research Institute, Egypt Ahmed Arafa, EJUST, Egypt Aida Nasr, Tanta University, Egypt Aimilia Tasidou, CESI LINEACT, France Ali AbdelAziz, Aswan University, Egypt Amena Mahmoud, Faculty of Computers and Information, Kafrelsheikh University, Egypt Amine Dahane, University of Oran 1 Ahmed Benbella, ISTA, Algeria Ammar Elsayed, AASTMT, Egypt Antoine Caillot, JRL CNRS AIST, France Ashraf Mohamed, Areeb Innovative Technologies, United Kingdom Ashutosh Balakrishnan, Dept. of Computer Science and Networks, Telecom Paris, France Asma Hadyaoui, University of Sousse, ISITCOM, Tunisia Asmaa Fathy, Al Azhar University, Egypt Bacem Bakhache, Lebanese University, Egypt Bahaa Younes, Nile University, Egypt Bassant Elbagoury, Alrayada University, Egypt Bertrand Ducourthial, Université de Technologie de Compiègne, France Besma Zeddini, CY Tech, CY Cergy Paris Université, France Bilal Said, Softeam Docaposte, France Chiraz El Hog, ISSAT, France Christophe Guyeux, Université Marie et Louis Pasteur, France Cong Son Duong, Gustave Eiffel University, France Cyprien Gilet, Université de Technologie de Compiègne, Heudiasyc, UMR CNRS, France Djaoued Beladjine, CESI LINEACT, France Doaa Salem, National Telecommunication Institute (NTI), Egypt DooYoung Choi, Korea University, South Korea Elsa Negre Lamsade, Paris-Dauphine University, France Emad Abdelrahman, National Telecommunication Institute (NTI), Egypt Esraa Aboulsafa, Alexandria University, Egypt Fadi Elghitani, National Telecommunication Institute (NTI), Egypt Fady Mohareb, Université de Technologie de Compiegne, France Farzad Veisi Goshtasb, CNAM, France Fathalla Rihan, United Arab Emirates University, UAE Fatty Salem, Egypt University of Informatics, Egypt Gayoung Park, KAIST, South Korea Ghada Khoriba, Nile University, Egypt Ghazal Fahmy, National Telecommunication Institute (NTI), Egypt Haitham Ghalwash, Coventry University, Egypt Haitham El-Hussieny, Egypt-Japan University of Science and Technology, Egypt Hajer Nabli, ISITCom, University of Sousse, Tunisia Hassnaa Y, Intel, France Hatem Abdel Kader, AASTMT, Egypt Heba Sherif, Faculty of Computers and Artificial Intelligence, Cairo University, Egypt Heba Allah Khalifa, National Telecommunication Institute (NTI), Egypt Hesham Amin, Sohag University, Egypt Hussein Harb, National Telecommunication Institute (NTI), Egypt Ihab Ali, Helwan University, Egypt Imane Ben Kissiouer, USDB, France Inès Saad, ESC Amiens & MIS (UPJV), France Insaf Setitra, Université de Technologie de Compiègne, France Jean-François Dollinger, CESI, France Jeremie Eyssette, Chosun University, South Korea Jinfeng Zhong, LIASD, Université Paris 8 Vincennes – Saint-Denis, France Jinyoung Min, Chonnam National University, South Korea Jordy Palafox, CY Tech, CYU, France Judita Kasperiuniene, Vytautas Magnus University, France Julien Moreau, UTC, Heudiasyc-SyRI, France Julio Cesar Perez Garcia, CNAM, France Junfang Wu, Henan Polytechnic, China Keunwoo Lim, Telecom Paris, France Khadidja Kadem, Gustave Eiffel University, France Khaled Elsalam Ali, MUST, Egypt Khaled Abdallah, AAST, Egypt Khalid Sultan, American University of Kuwait, Kuwait Kristian Fenech, Eötvös Loránd University, France Leila Ben Letaifa, CESI LINEACT, France Linda Belkessa, Université Gustave Eiffel, France Louenas Bounia, Laboratoire d’Informatique de Paris Nord (LIPN), Université Sorbonne Paris Nord, France Madani Bezoui, CESI, LINEACT, France Mahdi Zargayouna, Université Gustave Eiffel, France Mahmoud Attalah, AOU, Egypt Mahmoud Badawy, CIC, Egypt Mahmoud Shawky, German International University, Egypt Mario Patetta, CNAM, France Marwa Refaie, Coventry University, TKH, Egypt Mayar Shafaey, EELU, Egypt Menna Kamel, AASTMT, Egypt Mohamed Zorkany, National Telecommunication Institute (NTI), Egypt Mohamed Eassa, October 6 University, Egypt Mohamed Abdelhamed, El Shorouk Academy, Egypt Mohamed Mitwally, UNISA, France Mohamed Aiche, University of Blida 1, Algeria Mohamed Ali Zormati, Heudiasyc, France Mohamed El Hadi Benelhadj, Tamanrasset University, Algeria Mohamed Waleed Fakhr, Coventry University Egypt, TKH, Egypt Mohammed El-Beheiry, Ain Shams University, Egypt Mohammed Awad, Ain Shams University, Egypt Mohammed amine Boudouaia, CESI LINEACT, France Mona Laroussi, OIF-IFEF, France Monika Yadav, University of Petroleum and Energy Studies, India Mourad Kenk, Buraydah Private Colleges, KSA Mustafa Shiple, National Telecommunication Institute (NTI), Egypt Nada GabAllah, Coventry University, TKH, Egypt Nada Matta, Universite of Technology of Troyes, France Nawel Hamdi, Isitcom, France Nermeen Ghazy, AlAlson Academy, Egypt Ngoc Luyen Le, Université de Technologie de Compiègne, France Nicolas Ragot, CESI, France Noha Kamal, Mechanical and Electrical Research Institute, Egypt Noureddine Mouhoub, Université de Technologie de Compiègne, France Olfa Souki, FSEGS, Tunisia Olfa Mourali Ben Naceur, Université Virtuelle de Tunis, Tunisia Pierluigi Siano, University of Salerno, Italy Pundikala Veeresha, CHRIST University, Bengaluru, India Raghda Bahaa, AAST, Egypt Raïda Ktari, Heudiasyc UTC, France Rajarama Jena, SOA University, India Rezak Aziz, CNAM, France Rim Abdallah, Renault, France Rodrigue Imad, University of Balamand, Lebanon Rouwaida Abdallah, CEA, France Safa Ouerghi, ESTACA, France Safa El Askary, Galala University, Egypt Salah Eddine Elgharbi, CESI/ESI-SBA, France Salvador Madrigal, Université de Technologie de Compiègne, France Samir Ouchani, CESI LINEACT, France Shereen Elbohy, Helwan University, Egypt Soundouss Messoudi, Heudiasyc UTC, France Stefano Secci, CNAM, France Stephan Reiff-Marganiec, University of Derby, United Kingdom Suweon Kim, Hankuk University of Foreign Studies, South Korea Tamer Nassef, MSA, Egypt Tamer Mohamed, The British University in Egypt, Egypt Tamer Ismail, Arab Academy for Science, Technology and Maritime Transport, Egypt Thierry Garcia, CYU – CY Tech, France Tuan Nguyen, University Gustave Eiffel, France Vitor Martin Bordini, Université Technologique de Compiègne, France Wafa Souei, University of Sousse, Tunisia Wenlong Chen, Lab Heudiasyc, France Woosung Jung, ETRI, South Korea Youcef Imine, Université Polytechnique de Hauts-de-France, France Youssri Youssri, Cairo University, Egypt Zainab Ali, Faculty of Artificial Intelligence, Kafrelshiekh University, Egypt Zouhir Bahri, University of Bahrain, Bahrain Zulqurnain Sabir, Lebanese American University, Lebanon Touristic and cultural Trips for Conference Participants TO BE ANNOUNCED SOON. CMT ACKNOWLEDGMENT “The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.” For any inquiries or further information about IEEE 3SCEA 2027, please contact: conference@ufe.edu.eg We look forward to your participation in IEEE 3SCEA 2027 and seeing you in Alexandria, Egypt.