The International Symposium on Statistics and Machine Learning in Electronics, in the framework of the 8th International Conference on Smart and Sustainable Technologies (SpliTech2023) will be held in hybrid mode in Bol and Split, Croatia, on June 20-23, 2023.

Rationale

The aim of the International Symposium on Statistics and Machine Learning in Electronics is to bring together young and experienced researchers, students and educators with interests in how statistics, machine learning and fuzzy logic could facilitate analysis, design, testing, diagnosis, measurement and manufacturing of electronic circuits, modules and devices. Final scientific results and research in progress will be presented and discussed, revealing new models, methods, algorithms, techniques, and methodologies. The conference is base for forming an international scientific network, spreading new and innovative ideas and the best practices. It will distribute the achieved findings during the project "Exploration Applications of Statistics and Machine Learning in Electronics", financed by National Scientific Fund.

Topics

The topics are related to applications of statistics, machine learning and fuzzy logic methods, algorithms, techniques, methodologies, models in:

§ Electronic circuit design

§ Electronic circuit analysis

§ Electronic circuits and devices testing and diagnosis

§ Electronics circuits and devices measurement

§ Manufacturing of electronic components and devices

§ Electronic process management

§ Quality management in electronics

§ Digital twins

Accepted, and presented papers will be published in the conference proceedings and submitted to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases. Authors of selected best papers will be invited to submit an extended version.

Important days

FULL PAPER SUBMISSION: February 24, 2023

Notification of acceptance: April 20, 2023

Camera ready paper: May 05, 2023

Programme Committee

• Desislava Ivanova, Technical University of Sofia, Bulgaria

• Anna Rozeva, Technical University of Sofia, Bulgaria

• Igor Vrublevsky, Belarusian State University of Informatics and Radioelectronics, Belarus

• Petia Georgieva, University of Aveiro, Portugal

• Hiroaki Wagatsuma, Kyushu Institute of Technology, Japan

• Lyuba Alboul, Sheffield Hallam University, UK

• Veselka Boeva, Blekinge Institute of Technology, Sweden

• Galina Bogdanova, Bulgarian Academy of Sciences, Bulgaria

• José David Núñez-Gonzalez, TECNALIA, Basque Research and Technology Alliance, Spain

• Maya Dimitrova, Bulgarian Academy of Sciences, Bulgaria

• Marco Temperini, Sapienza University of Rome, Italy

• Miona Stošović, University of Niš, Serbia

• Mirjana Bonkovic, University of Split, Croatia

• Svetozar Ilchev, Bulgarian Academy of Sciences, Bulgaria

• Stoyan Stoyanov, University of Greenwich, UK