Important Dates
Important Dates
Embedded Files
Due to many requests, the submission deadline has been extended to August, 15th, 2026
July 30, 2026
August 15, 2026
Submission Deadline
September 15, 2026
Acceptance Notification
September 30, 2026
Camera-ready and Registration
October 8, 2026
Final Acceptance Decision
About ICETS’2026
About ICETS’2026
The 3rd International Conference on Energy Transition and Security (ICETS’2026) will take place in Adrar, Algeria, on October 27-29, 2026. This event aims to bring together leading academics, researchers, and professionals to discuss the latest advancements in Electrical Engineering, Physics, Environment, and Energy. The 3ICET&S’2026 will include contributions by invited speakers, oral presentations, and poster sessions. This event also offers space for companies to present their innovative products and services.
Conference Chairs
Conference Chairs
Honorary Chair
Honorary Chair
- Pr. BENAMAR Mohammed Elamine
Conference Chairs
Conference Chairs
- Pr. HAMOUDA Messaoud
Pr. ARBAOUI Iliace
Scientific Committee Chairs
Scientific Committee Chairs
Pr. LARIBI Slimane
Pr. GHAITAOUI Touhami
Dr OUDRANE Abdellatif
Organization Committee Chairs
Organization Committee Chairs
Dr. OULEDALI Omar
Dr. HASSANI Islam
Dr. BELATRACHE Djamel
Conference Topics
Conference Topics
Authors are invited to submit original research papers related, but not limited to, the following topics:
Renewable Energy Sources and Technology:
•Hybrid Power Systems
•Distributed and Co-Generation Systems
•Photovoltaic materials and cells
•Wind and Energy Systems.
•Solar Energy Systems
•Hydrogen Systems and Fuel Cell
•Hydraulic energies
•Geothermal energies
•Renewable innovation and applications
Smart grid Technologies & Applications:
•Smart cities and buildings
•Smart grid for distributed energy resources
•Smart grid for energy savings and financial
management
•Smart pumping and irrigation
•Smart grid for plug-in vehicles and low-carbon
transportation alternatives
•Smart grid for physical security systems
Power Generatıon, Transmission and Distribution:
•Intelligent data acquisition
•Generation Systems
•Protective Relaying
•Modelling and Simulation
•Load Modelling
•Power Quality and Grounding
•Distribution System Planning and Reliability
•Flexible AC Transmission Systems
•Renewable energy integration
Nuclear energy, security and environment
•Environmental and climate change
•Pollution and waste treatment
•Water treatment management
•Energy Management and Environmental issues
•Energy security systems
The economic and legal challenges of energy transition,
•Economy and food security
Fossil energies (Oil, Coal, Natural gas….)
Keynote Speakers
Keynote Speakers
Prof. Belkacem Haba
Saratoga, California, United States
Prof. Saad Mekhilef
University of Malaya, Malaysia
Prof. Belkacem Draoui
University of Bechar, Algeria
Prof. Cheikh Mouhamed Fadel
University Cheikh Anta Diop- Senegal
Prof. Belkacem Ouldbouamama
Ecole Polytechnique de Lille
Prof. Karim Zaghib
University, Concordia, Canada
Prof. Mohamed Ghazli
Director –Grid element green-Germany
Prof. Mohamed Becherif
UTBM Femto-ST CNRS
Prof. Fouad Boukli Hacene
Director of ENPO-MA
Dr. Lyes Lakhal
Institut polytechnique UniLaSalle Beauvais
Prof. Salah Laghrouche
UFEMTO-ST, UTBM, France
Prof. Saad Mekhilef
University of Malaya, Malaysia
Biography:
Prof. Dr. Saad Mekhilef is an IEEE and IET Fellow. He is a Distinguished Professor at the School of Engineering, Swinburne University of Technology, Melbourne, Australia. He authored and co-authored more than 900 publications in academic journals and proceedings, five books with more than 76,000 citations, and more than 85 Ph.D. students who graduated under his supervision. He serves as an editorial board member for many top journals, such as IEEE Transactions on Power Electronics, IEEE Open Journal of Industrial Electronics, IET Renewable Power Generation, E-Prime, Journal of Power Electronics, and International Journal of Circuit Theory and Applications.
Prof. Mekhilef has been listed by Thomson Reuters (Clarivate Analytics) as one of the world's Highly Cited (World's Top 1%) engineering researchers. He is also listed in the world's top 2 % of scientists by "Stanford University", USA he is actively involved in industrial consultancy for major corporations in the Power Electronics and Renewable Energy projects. His research interests include Power Conversion Techniques, Control of Power Converters, Maximum Power Point Tracking (MPPT), Renewable Energy, and Energy Efficiency.
Title: Wireless Power Transfer for Electric Vehicle Applications
Abstract:
Wireless power transfer (WPT) based on magnetic resonance offers a promising approach to eliminating the limitations of conventional wired charging. Although WPT builds on the principles of inductive power transfer, a technology developed over the past few decades, recent advances have significantly improved its performance and practicality. At the kilowatt power level, transfer distances have increased from a few millimeters to several hundred millimeters, while grid-to-load efficiency can exceed 90%. These developments make WPT highly attractive for electric vehicle (EV) charging in both stationary and dynamic applications. In this talk, I will discuss various WPT topologies and compensation techniques, with particular emphasis on the role of power-converter stages in WPT systems. I will also examine the impact of EV charging on the power grid, EVs' bidirectional capability, and charging-strategy management. The talk will further address the integration of renewable energy sources (RES) with EV charging infrastructure. Finally, I will highlight key future challenges, including safety, health considerations, foreign object detection (FOD), and economic factors in wireless EV charging systems.
Prof. Belkacem Ouldbouamama
Ecole Polytechnique de Lille
Head of Research Group « PERSI » with CRIStAL Laboratory CNRS 9189 Polytech Lille, Avenue Paul Langevin
F59655 Villeneuve d'Ascq cedex
Biography:
Belkacem OULD BOUAMAMA is full Professor in automatic control at Graduate School of Engineering Polytech Lille (France), where he has been Director of the Research for 15 years. He is in charge of a diagnosis and prognosis research team at the CRIStAL laboratory of the National Center for Scientific Research (CRIStAL, CNRS) in Lille, where his research activities concern Integrated Design for Supervision of System Engineering based on Bond Graph theory. Their industrial applications are mainly, renewable energies and green hydrogen. He has authored and co-authored more 65 peer-reviewed journals, 180 conference papers and 20 books and book chapters. He has given more than 20 invited talks and tutorials and keynotes around the globe.
Title: Hybrid AI-Knowledge-Based Models and Digital Twins for Green Hydrogen Production: The Algerian Context and Industrial Perspectives
Abstract:
The production of green hydrogen worldwide faces significant political, technological, and operational challenges. In this context, electrolyzers frequently operate under harsh and dynamic conditions where dense, continuous sensor deployment is economically or technically unfeasible. Consequently, traditional data-driven supervision systems struggle in such sparsely instrumented environments.
To address these limitations, this conference highlights the Algerian context through two ongoing PNR projects, presenting an overview of global and national green hydrogen initiatives. From both political and technological perspectives, we introduce a hybrid Digital Twin approach designed for advanced process control and feasibility tests before industrial scaling up. This framework combines physics-based modeling—rooted in thermodynamics and electrochemistry—with Physics-Informed Neural Networks.
By embedding dynamic multiphysic models including supervision algorithms into machine learning architectures, this methodology creates "virtual sensors" that accurately estimate unmeasured process variables and track stack degradation in real time. To meet strict industrial safety and regulatory requirements, the framework integrates Explainable AI (XAI) techniques, rendering multiphysic dynamic uncertain model decisions transparent and root-cause analyses traceable for operators.
Finally, we demonstrate through real application representing holistic green hydrogen production how this hybrid, explainable architecture enhances fault detection, optimizes maintenance schedules, and reduces hardware costs, ultimately bridging the gap between theoretical modeling and robust, field-ready industrial supervision.
Prof. Mohamed Becherif
UTBM Femto-ST CNRS
Biography:
Mohamed Becherif obtained his Engineer in Automatic Control from Polytechnical School of Algeria 99, DEA and PhD in Automatic Control from University of Paris Sud/Supélec in 2001 and 2004 respectively and joined UTBM since 2005. He is the Head of the Full-time Engineering training in Energy and Electrical Engineering UTBM and member of Femto-ST CNRS Lab. He is/was a scientific co-responsible or Principal Investigator in three European Projects FP7, French and international projects, and several industrial projects. He is co-author of more than 130 journal papers and more than 300 conference papers. He was/is the Manager Editor and Guest Editor of different Special Issue in different Elsevier Journals. H-index 43
He was the General Chair of the following conferences: ICEREGA’16 + 17 +18+20, EMF’17, cochair of ICEE’17, International Examinator on Energies for Czech Republic, Estonia, EAU, Egypt. He was/is the supervisor of 20 PhD and jury member in 21. He was invited professor in China, Canada, Egypt and Algeria. In 20-21-22-23-24 and 25, he is listed by Stanford University as one of the World’s top 2% Scientists (most cited scientists in various disciplines).
Title: Electrical Vehicle: Battery or Fuel cell challenge
Abstract:
Electric Vehicles (EV) use electric motors instead of Internal Combustion Engines (ICEs) for propulsion. At the contrary of the ICEs, the electric motors are reversible and allow recovering energy generated from braking when coupled to an electric storage device. This advantage makes the EV suitable for urban use where lots of braking phases occur. Battery Electric Vehicles (BEVs) are becoming more attractive with the advancement of new battery technology that has higher power and energy density and allowing matching the requested vehicle dynamic. The autonomy is still a serious issue for BEVs. Fuel Cell (FC) vehicles bring a real solution to the requested autonomy but economic, technological and societal constrains have to be addressed before the large use of EV. Hybrid electrical vehicle of FC, battery and supercapacitor combine the advantages of each source and storage devices. This presentation deals with the electric vehicles’ technologies, modelling, control and energy management of this hybrid sources.
Dr. Lyes Lakhal
Institut polytechnique UniLaSalle Beauvais
Biography:
Lyes Lakhal est docteur de troisième cycle d’AgroParisTech et enseignant-chercheur à UniLaSalle Beauvais. Il enseigne notamment l’intelligence artificielle, le machine learning, le deep learning, l’Internet industriel des objets (IIoT), l’optique, l’imagerie, la spectroscopie et l’analyse de données.
Ses travaux de recherche portent sur le développement de méthodes rapides et non destructives de caractérisation et de contrôle en ligne, basées sur la spectroscopie, l’imagerie, la chimiométrie et l’intelligence artificielle, appliquées aux produits alimentaires ainsi qu’à la biomasse destinée à la méthanisation, au biométhane et aux biocarburants.
De janvier 2019 au 31 décembre 2025, il a été chef du WP2 du projet collaboratif TOFoo, projet d’environ 17 millions d’euros, soutenu par Bpifrance et réunissant plusieurs partenaires académiques et industriels. Il y a piloté le développement des approches de Big Data, fusion de données, chimiométrie, machine learning et deep learning, à partir notamment de données de spectroscopie, spectrométrie de masse et RMN, pour l’authentification des aliments et la détection de la fraude alimentaire
Title: From TOFoo to Energy Transition: Multimodal Data, Machine Learning and Deep Learning for Complex Industrial and Environmental Systems
Abstract:
Artificial intelligence is increasingly transforming the way complex scientific and industrial data are analyzed, interpreted and converted into actionable knowledge. The challenge is no longer limited to building accurate predictive models, but increasingly concerns the integration of heterogeneous data sources, model robustness, transferability, interpretability and the ability to support reliable decision-making in real-world environments.
This keynote will first present the experience gained through the TOFoo collaborative project, a major French research and innovation programme supported by Bpifrance and involving academic and industrial partners. Within this project, I led Work Package 2, dedicated to artificial intelligence and data-driven methodologies. The objective was to develop advanced approaches for food authentication, fraud detection and product characterization by exploiting large, complex and heterogeneous datasets generated from complementary analytical technologies, including spectroscopy, mass spectrometry and nuclear magnetic resonance.
The methodological framework developed within TOFoo combined chemometrics, multivariate data analysis, data fusion, machine learning and deep learning. Particular attention was given to the complete analytical pipeline, from data acquisition and preprocessing to feature extraction, model development, validation, robustness assessment and decision support. Beyond predictive performance, the project also addressed important challenges related to multimodal data integration, variability between samples and instruments, generalization, model reliability and the deployment of data-driven approaches in realistic industrial contexts.
The second part of the keynote will explore how the methodological strategy developed within TOFoo can be transferred to a much broader range of scientific and technological challenges related to the energy transition, environmental systems and intelligent infrastructures. The same principles of multimodal data integration, machine learning, deep learning and robust model validation can be adapted to applications involving renewable energy systems, intelligent sensing, modelling and simulation, smart monitoring, environmental assessment, resource management, industrial process optimization and decision-support systems.
Across these different fields, increasingly heterogeneous data are generated by sensors, analytical instruments, imaging technologies and connected devices. Their joint exploitation offers new opportunities to better understand complex systems, detect patterns, predict system behaviour, monitor changes and support operational decisions. In this context, artificial intelligence should not be viewed only as a collection of algorithms, but as part of a complete methodological strategy integrating data quality, domain knowledge, model validation and deployment constraints.
By connecting the experience gained within TOFoo to broader challenges in energy, environment and intelligent systems, this presentation aims to show how AI strategies developed in one complex application domain can provide a transferable framework for addressing other data-intensive scientific and industrial problems. The broader objective is to highlight the role of multimodal data fusion, machine learning and deep learning in the development of more robust, adaptive and intelligent systems for future technological and environmental challenges.
Keywords: Artificial Intelligence, Machine Learning, Deep Learning, Data Fusion, Chemometrics, Multimodal Data, TOFoo, Intelligent Systems, Energy Transition, Environmental Systems.
Committees
Committees
Scientific Committee
Scientific Committee
Pr. Abdelkader Harrouz (U.Adrar)
Dr. Abdellatif Oudrane (U. Adrar)
Pr. Abdessalam Bassou U. Bechar
Dr. Abdeldjalil Dahbi (Urerms)
Pr. Abdessalem Badoud (U.Setif)
Pr. Abdelmadjid Dobbi (U. Ouargla)
Pr. Abdelkader Chaker (ENP-Oran)
Pr. Abdelkrim Liazid (U.Tlemcen)
Pr. Abdelghani Aissaoui (U. Bechar)
Pr. Abdelmadjid Keddi (U.Alger3)
Pr. Abdelaziz Talha (USTHB)
Pr. Abdelhamid Kaabache (CDER)
Pr. Abdelghani Harrag (U. Setif)
Pr. Ahmed Allali (USTOran)
Dr. Ahmed Boulal (U Adrar)
Dr. Ahmed Bouraiou (Urerms)
Pr. Ali Benatiallah (U Adrar)
Dr. Ahmed Maassoum (U. SBA)
Pr. Ali Cheknane (U Laghouat)
Pr .Abdellah Kouzou (U. Djelfa)
Pr. Ali Tahri (USTO)
Pr. Ammar Hadj Arab (Cder)
Dr. Ammar Necaibia (Urerms)
Dr. Amal Boudjabi (U. O. El bouaki)
Pr. Arezki Smaili (ENP-El Harrach)
Pr. Ahmed Hadjadj (U.Adrar)
Pr. Belkacem Draoui (U.Bechar)
Dr. Belkacem Bouzidi (Cder)
Pr. Benoumer Aour (ENPOran)
Pr. Boubakeur Azoui (U.Batna 2)
Pr. Boudjemaa Belal (U. Adrar)
Pr. Dahmane Benabdelfetah (U. Adrar)
Pr. Djelloul Benatiallah (U. Adrar)
Dr. Djelloul Djafer (Uraer-Ghardaia)
Dr. Djamel Saba (Urerms)
Dr. Djamila Cherifi (U. Saida)
Pr. Fatima Zohra Arama (U. Adrar)
Dr. Fodil Khelil (U. Mascara)
Dr. Fateh Ferroudji (Urerms)
Pr. Khaldi Belgacem Said (U. Djelfa)
Pr. Rachid Dehini (U. Bechar)
Pr. Bouaza Fekkak (USTHB)
Pr. Rachid Tiggrine (U. Adrar)
Dr. Bilal Attallah (U. M’Sila)
Pr. Saad Mekheilf (U.Malaya)
Pr. Salim Makhloufi (U.Adrar)
Pr. Said Bentouba (U.Adrar)
Dr. Said Diaf (CDER)
Pr. Salah Hamlil (U. Adrar)
Pr. Slimane Kalloum (U.Adrar)
Pr. Tilmatine Ammar (U. SBB)
Dr. Ramdhane Masmoudi ( U.Adrar)
Dr. Hassane Moulay Omar(U.Adrar)
Dr. Ameur Miloud Kaddouri (U.Djelfa)
Pr. Brahim Berbaoui (U.Adrar)
Pr. Abdelhamid Irtani(U. BBA)
Pr. Cherif Ouldlahoucine ( U. Guelma)
Dr. Hamza Bousbaa (ENPOran)
Pr. Tawfik Benabdellah (ENPO-Oran)
Pr. Kamel Nassour ( SBA)
Pr. Said Drid (Université Batna 2)
Dr. Rédha Bendoumia (U. Blida 1)
Dr. Tahar Boussoukaia (U.Adrar)
Dr. Abderrazzaq Ziane (Urerms Adrar)
Dr. Rachid Dabou (Urerms Adrar)
Dr. Ahmed Mediani (Urerms Adrar)
Dr. Mohamed Amine Hartani (U.Adrar)
Dr. Tahar Belbekri (U.Adrar)
Dr. Amor Gama (Urear-Ghardaia)
Dr. Mohamed Mostefaoui (ENSAS Adrar)
Dr. Mohamed Bouzidi (U. Tamanghasset)
Pr. Djamila Ziani Eps-Rekioua (U.Bejaia)
Dr. Rachid Maoudj Urerms Adrar)
Dr. Youcef Sahli (Urerms Adrar)
Dr. Amina Bekraoui (Urerms Adrar)
Dr. Achour Mahrane (Udes)
Dr. Abderrazak Badji (UTS-Mulhouse)
Pr. Abdelber Bendaoud (U.SBB)
Pr. Khaled Chethouna
Pr. Cheikh Mouhamed Fadel ( U.C.D.Senegal)
Pr. Salam Abudura (U. Adrar)
Pr. Cherif Ouldelhoucine (U. Guelma)
Pr. Djaffar Ouldabessalam (IUT.Fr)
Pr. Saad Mekheilf (Australia)
Dr. Hocine Bensaha (Uraer- Ghardaia)
Dr. Farzaneh Bagheri (Turkey university)
Dr. Seddik Rabhi (U. Adrar)
Dr. Djilali Tassalit (CDER)
Dr.Nadhir Damba (U. Adrar)
Pr. Fouad Boukli H (ENPO-MA)
Pr. Mohamed Roudane (U. Blida 1)
Pr. Hachemi Glaoui (U. Bechar)
Pr. Hamid Khachab (U.Bechar)
Dr. Hamza Semmari (ENP-Const)
Pr. Hamid Azzeddine (C.El Bayadh)
Pr. Hafaifa Ahmed (U.Djelfa)
Pr. Ismail Bousserhane (U. Bechar)
Pr. Kaddi Mohammed (U.Adrar)
Pr . Kada Hartani (U. Saida)
Dr. Kamel Agroui ( (CRTSE-Alger)
Pr. Khaled Touafak (Uraer)
Pr. Khaled Maamar (U. Bechar)
Pr. Messaoud Hamouda (U. Adrar)
Pr. Mestefa Kameche (USTOran)
Pr. Mohamed Becherif (Belfort -France)
Pr. Mohamed Massaad (UST Oran)
Dr. Mohamed Sadok (Urerms)
Pr. Mohamed Omari (U. Adrar)
Pr. Mohamed Boudour (USTHB)
Dr. Mohamed Benhamou (Urerms)
Pr. Mohamed S .Bouchereit (ENP)
Dr. Mohamed Boussaid (U.Adrar)
Pr. Mohamed Tamali (UMTBechar)
Pr. Mohamed S.Benouna (U. Ouargla)
Pr. Mouhoub Birane (U. Laghouat)
Pr. Mourad Hamimid (U. BBA)
Pr. Mounir Khiat (ENP-Oran)
Dr. Mokhtar Khaldi (U.Mascara)
Pr. Mokhtar Bendjebar (USTO)
Dr. Mustapha Akacem (U. Adrar)
Pr . Mustapha Rahli (U. Relizane)
Pr. M. Bouziane (U. Mascara)
Pr. Noureddine Settou (U.Ouragla)
Dr. Nordine Sahouane (Urerms)
Dr. Nouar Aoun (Urerms)
Pr. Noureddine Benouza (USTO)
Pr. Noureddine Chaib (U. Laghouat)
Pr. Omar Harrouz (France)
Pr. Othmane Abdelkhalek (U.Bechar)
Pr. Said Grouni (U. Tamanghasset)
Pr. Slimane Laribi (U.Adrar)
Dr. Smail Mansouri (U.Adrar)
Dr. Samir Mouhadjer (Urerms)
Pr. Tahar Bahi (U. Annaba)
Dr. Touhami Ghaitaoui (U.Adrar)
Pr. Youcef Soufi (U. Tebessa)
Dr. Youcef Djeriri (U SBA)
Pr. Youcef Meslem (U. Tiaret)
Dr. Khalil Tamersit (U,Guelma)
Pr. Driss Nehari (U,A,Temouchent)
Dr. Mohamed Abbas(UDES)
Pr. Mohamed Sellami (U,Tamangha)
Dr. Mohammed Djaafri (Urerms)
Dr. Driss Djafari (U,Adrar)
Dr. Iliace Arbaoui (U,Adrar)
Dr. Mohammed Ben abdelfattah (U.Adrar)
Dr. Moustapha Hatti (UDES)
Pr. Allaoua Remmak (U. M’Sila)
Dr. Saad Khadar (U. Djelfa)
Dr. Abdelghani Dahou (U.Adrar)
Dr. Lakhdar Amer (U.Adrar)
Dr. Abdelkrim Rouabhia (Urerms Adrar)
Dr. Ahmed Tahri (Urerms Adrar)
Dr. Omar Ouledali (U.Adrar)
Dr. Badreddine Bellali (U.Adrar)
Dr. Hocine Ben Saha (Urear-Ghardaia)
Dr. Ali AbderrazakTadjeddine (CU. Albayad)
Dr. Abdelfattah Nasri (U. Bechar)
Pr. Toufik Rekioua ( U. Bejaia)
Dr. Kheyra Roummani (Urerms Adrar)
Pr. Noureddine Djarfour (U.Adrar)
Dr. Djamel Belatrache (U.Ourgla)
Dr. Mhamed Abdeldjalil (U.Adrar)
Pr. Belkacem Ouldbouamama (Ecole Polytechnique de Lille)
Pr. Abdelkader Aissat (U.Adrar)
Dr. Islam Hassani (U. Adrar)
Dr. Amer Lakhdar (U.Adrar)
Pr. Cheikh M.Fadel (U.C.D.Senegal)
Dr. Ibrahim Yaichi (U.Adrar)
Pr. Salah Laghrouche (UTMB Fr)
Dr. Hassane Dahbi (U. Adrar)
Pr. Rachid Issadi (U. Blida)
Dr. El Mamoun Mamouni (U. Adrar)
Organization Committee
Organization Committee
Mr. Abdelaziz Hamouda
Dr. Ahmed Saidi
Dr. Abdellah Laidi
Dr. Fadila Tahiri
Mr. Mohamed Benhassane
Dr. Chabachi Salem
Dr. Ibrahim Boussaid
Dr. Maatalah El Abbas
Dr. Lahcen Boubakeur
Dr. Mohammed Demri
Dr. Abdellaoui Mustapha
Dr. Oussama Hafsi
Mr. Aoumri Mohammed
Mr. Ghaitaoui Essama Ahmed
Ms. Slimani Zahia
Mr. Haibaoui Mohammed
Dr. Abdelkader Fidjah
Dr. Abdeldjabbar Babahadj
Ms. Lakrime Charazad
Dr. Halali Youcef
Mr. Bekari Mohamed
Ms. Boucha Djemaa
Dr. Moulay Aicha
Dr. Slimani M.Amine
Dr. Mohamed Ouledali
Dr. Bekraoui Hafsa
Dr. Belbali Abdelkrim
Dr. Elhachemi Kouddad
Dr. Ismail Benlaria
Dr. Boumediane Bakhada
Mr. Bahakou Abdelghani
Ms. Bacheikh Soukina
Ms. Rekaia Bakhada
Mr. Bencheikh Abdelhamid
Mr. Ali Bahraoui
Mr. Ayoub Amiri
Paper Submission
Paper Submission
All paper submissions must be made through the Microsoft CMT platform.
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.
Accepted and presented papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements.
Sponsors
Sponsors
Conference location
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