Purpose:
Recognize and promote high-quality contributions to scholarly research and writing by scholars and students.

Eligibility Requirements:
1. Papers published in the journal from January 1, 2022, to December 31, 2022;
2. Manuscript type: Original Article and Review Article.

Selection Criteria:
The award committee will consider scientific merit, significance to the research community, broad impact, creativity of the study design or uniqueness of the approaches and concepts, clarity of presentation, the citation (Web of Science) and download rates in 2023.

Prizes:
1. A signed award certificate with the name of the award, the name of the paper, and the names of the authors of the paper;
2. Free APC for their next publication in the journal;
3. Announce their achievements on the website by February 2024.

We are delighted to announce the winner of the Complex Engineering Systems 2022 Best Paper Award, presented to the following paper:

Title: Stability-preserving automatic tuning of PID control with reinforcement learning
Authors: Ayub I. Lakhani, Myisha A. Chowdhury, Qiugang Lu
Doi: http://dx.doi.org/10.20517/ces.2021.15

Purpose:
In appreciation of the reviewers who demonstrated dedication, professionalism and timeliness in the review process.

Eligibility Requirements:
All reviewers in 2023 will be automatically included.

Selection Criteria:
1. Review quality based on the rating given in MESAs;
2. Number of review reports (only first review reports are considered);
3. Review speed.

Prizes:
1. A certificate of appreciation;
2. Free APC for their next publication in the journal;
3. Announce their achievements on the website by February 2024.

We are delighted to announce the recipients of the "Complex Engineering Systems 2023 Reviewer Award." Our heartfelt appreciation goes out to all reviewers for their invaluable contributions, offering constructive and insightful feedback that has notably enhanced the quality of submitted papers. Among the outstanding contributors, we have chosen one recipient for the Best Reviewer Award and three for the Outstanding Reviewer Awards. Congratulations to all the well-deserving awardees!

2023 Best Reviewer Award:
Dr. Nallappan Gunasekaran
Affiliation: The Computational Intelligence Laboratory, Toyota Technological Institute, Nagoya, Japan.

2023 Outstanding Reviewer Award:
Dr. Zhengrong Xiang
Affiliation: School of Automation, Nanjing University of Science and Technology, Nanjing, China.

Dr. Simone Baldi
Affiliation: School of Mathematics, Southeast University, Nanjing, China.

Dr. Serdar Coskun
Affiliation: Department of Mechanical Engineering, Tarsus University, Tarsus, Turkey.

Purpose:
In appreciation of the reviewers who demonstrated dedication, professionalism and timeliness in the review process.

Eligibility Requirements:
All reviewers in 2022 will be automatically included.

Selection Criteria:
1. Review quality based on the rating given in MESAs;
2. Number of review reports (only first review reports are considered);
3. Review speed.

Prizes:
1. A certificate of appreciation;
2. Free APC for their next publication in the journal;
3. Announce their achievements on the website by February 2023.

We are pleased to announce the winners of the Complex Engineering Systems 2022 Reviewer Awards. A total of 119 reviewers participated in the manuscript processing in 2022, and thank them for volunteering to review the manuscript in 2022. The journal Editorial Office is very grateful to the reviewers for their valuable time and hard work in the review process. It is thanks to their efforts that the high quality of the journal's publication is maintained. In appreciation of their valuable contributions, we have selected the 2022 Reviewers of the Year as:

2022 Best Reviewer Award
Dr. Marcelo Menezes Morato
Affiliation: Departamento de Automação e Sistemas, Universidade Federal de Santa Catarina, Florianópolis, Brazil.

2022 Outstanding Reviewer Award
Dr. Linni Jian
Affiliation: Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China.

Dr. Jiaqi Zhao
Affiliation: School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China.

Dr. Mousa Marzband
Affiliation: Northumbria University, Electrical Power and Control Systems Research Group, Newcastle upon Tyne, UK.