IEEE ISSATK'2026

#IEEE_TUNISIA_CIS #Artificial_Intelligence #artificial-intelligence #learning #deep-learning #lead #collaboration #big-data #education #intelligent-systems #information-technology #data-mining #data-processing #application #computer-science #informatics

IEEE ISSATK'2026

International Symposium of Systems, Advanced Technologies and Knowledge

http://Issatk2026.sciencesconf.org

April 25-27, 2026

Hammamet, Tunisia

IEEE ISSATK (International Symposium of Systems, Advanced Technologies and Knowledge) is a multidisciplinary conference that serve as a platform for knowledge sharing about the recent trends and advancements in computer science, electrical engineering, and mechanical Engineering. ISSATK brings researchers and students to participate with original papers not submitted to another journal or conference.

Tracks

TRACK 1: INFORMATION TECHNOLOGIES & AI

Machine Learning and Artificial Intelligence
Data Science and Big Data Analytics
Software Engineering and Development
Cybersecurity and Network Systems

TRACK 2: CONTROL, AUTOMATION & EMBEDDING SYSTEMS

Control Theory and Applications
Robotics and Autonomous Systems
Embedded Systems Design
Industrial Automation and Process Control

TRACK3: MANUFACTURING ENGINEERING

Advanced Manufacturing Technologies
Materials Science and Engineering
Product Design and Development
Quality Control and Lean Manufacturing

TRACK 4: RENEWABLE ENERGY AND APPLICATIONS

Solar Energy and Photovoltaics
Wind Energy and Turbine Technology
Bioenergy and Biomass Conversion
Energy Storage and Grid Integration

TRACK 5: Artificial Intelligence for Nanotechnology (AI4Nano)

AI and machine learning models for nanoscale material discovery
Predictive modeling of nanostructures and nanocomposites
Deep learning for nanoscale imaging and microscopy analysis
Computational nanotechnology and quantum-inspired AI models
Data-driven design of nanomaterials and nanodevices
AI-assisted drug delivery and nanosensors in biomedicine
Robotics and automation for nanoscale fabrication
Explainable AI and uncertainty quantification in nanoscience
Hybrid approaches combining AI with first-principles simulations
Ethical and sustainability aspects of AI in nanotechnology

Submission

You are invited to submit original research works on topics or others related to Artificial Intelligence, computer science, Electrical Engenerring, Energentic and Mechanical Engineering. All contribution papers must be submitted through the conference submission website (https://easychair.org/conferences?conf=issatk2026) and must be written in English. All submitted papers must be formatted in the standard 2-column IEEE Proceedings format. The standard page limit for each paper is 6 pages. Fee for extra pages will be added to the registration fees. Each paper will be reviewed by at least three reviewers. Papers will be selected based on their originality, relevance, technical clarity and presentation. After the conference, authors with best papers will be invited to submit extended versions to several special issues of scientific journals. The proceedings will be submitted to IEEE Xplore.

Paper format and styles are available for download: https://www.ieee.org/conferences/publishing/templates.html