CFP: Call for Papers

cfp: AISS 2026
url: https://www.icaiss.net
Deadline for Paper Submission: July 5, 2026
Dates of the Conference: October 23-25, 2026

ABOUT AISS

One of the main streams of science and technology have been directed to realizing the universal Sustainable Society (SS) all over the world recently.

Meanwhile, Artificial Intelligence (AI) technologies have been well developed and already applied widely to quite various fields, and some new AI techniques such as “Generative AI” have been created nowadays.

Under such a situation, in order to clarify how AI technologies can contribute and collaborate toward realizing universal Sustainable Development Goals (SDGs) in various areas such as environment, economy, industries, etc., a series of international conferences titled International Conference on Artificial Intelligence for Sustainable Society (AISS) will be newly launched, which brings together researchers and practitioners, both industrial and academic, developing novel outcomes of AI Technologies for Sustainable Society.

2026 2nd International Conference on Artificial Intelligence for Sustainable Society (AISS2026) provides a common platform for exchanging ideas and future collaboration among AI technologies such as generative AI, which are applicable to Sustainable Development (SD) for Energy and Environment.

AISS2026 will be held in Osaka, Japan during October 23-25 with focusing on “AI aided SD for Energy and Environment toward SS”.

We look forward to welcoming attending to AISS2026 in Osaka, which will provide an international community with a highly interactive and scientifically excellent conference on AI technologies for SS.

Topics of AISS2026 covers all aspects of theory and applications of AI technologies related SD toward SS and application of AI technologies, but are not limited to the following topics if they are concerned with AI for SS.

cfp: AEIT 2027
url: https://aeit.net/index.html
Submission Deadline: August 30, 2026
Conference Dates: January 22-24, 2027

Educational Technology is the effective use of technological tools in learning. As a concept, it concerns an array of tools, such as media, machines and networking hardware, as well as considering underlying theoretical perspectives for their effective application. The future of educational technology looks further promising as the learner and the tutor both would be engaged simultaneously. Teaching in a classroom would be like a movie, lesson plans would be mounted on headsets and students would be encouraged to explore with their tutor. Imagine, biology being taught by immersive technique.

2027 8th International Conference on Advances in Education and Information Technology will be held in Osaka, Japan during January 22-24. As a premier conference, AEIT aims to provide a good forum for scientists, researchers, engineers and industrial practitioners throughout the world to present and discuss the latest technology advancement as well as future directions and trends in education technology.

cfp: AI-DETDL 2027
url: https://www.ai-detdl.net/index.html
Conference Date: January 22-24, 2027
Paper Submission Deadline: October 20, 2026

Welcome to AI-DETDL 2027

2027 International Conference on AI-Driven Educational Technologies and Digital Learning (AI-DETDL 2027) will be held in Bangkok, Thailand during January 22-24, 2027.

AI-DETDL 2027 is intended as an international forum to bring together academicians, scientists, engineers, and researchers working in the fields of AI-Driven Educational Technologies and Digital Learning to exchange views, share their expertise, experience and research results, and discuss the challenges and future directions in their specialized areas.

During the upcoming conference, the invited renowned professors will share with us the recent innovations in the fields of AI-Driven Educational Technologies and Digital Learning. The conference will mainly feature on keynote speeches, as well as peer-reviewed paper presentations. In addition, social program or academic visit will be arranged to encourage communication, discussion or cooperation among the researchers in this field.

We invite submissions of papers presenting an original high-quality research and development for the conference. All papers must be written in English and will be peer-reviewed by technical committees of the Conference and all accepted papers will be published in the conference proceedings.

cfp: OSPIA 2026
url: https://ic-ospia.com
Conference Date: August 1–3, 2026
Conference Location: Hong Kong
Submission Deadline: July 4, 2026

The International Conference on Optical Signal Processing and Intelligent Algorithms (OSPIA 2026) is dedicated to advancing the integration of optical signal processing with intelligent algorithms, aiming to establish a global interdisciplinary platform for scholars, engineers, and industry experts.

The conference topics encompass cutting-edge areas such as intelligent optical communication systems, advanced image and signal analysis, machine learning–driven optical computing, photonic devices empowered by AI, and innovative applications in sensing, biomedical imaging, and quantum information. It explores breakthroughs in algorithmic design, real-time signal interpretation, and adaptive system optimization, addressing challenges like high-speed data transmission, noise suppression, and intelligent decision-making in complex environments.

Through the presentation of research achievements and collaborative discussions, OSPIA 2026 seeks to accelerate the transformation of optical signal processing technologies from theory to practice, foster innovation in intelligent photonics, and provide forward-looking solutions for next-generation communication, healthcare, and computational industries.

cfp: PSIS2026
url: http://ic-psis.com
Conference date: November 14-16, 2026
Location: Hong Kong
Submission Deadline: August 30, 2026

PSIS 2026 provides a premier interdisciplinary platform for researchers, practitioners, and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered in the fields of Photonics and Intelligent Systems.

cfp: MLMI 2026
url: https://mlmi.net/index.html
Submission deadline: June 10, 2026
Conference Date: July 17-20, 2026

We are thrilled to announce that the 9th International Conference on Machine Learning and Machine Intelligence (MLMI 2026) will be held in Tokyo, Japan, from July 17 to 20, 2026. Organized by Rikkyo University, Japan, MLMI 2026 will bring together leading researchers, academics, and industry professionals to explore the latest advancements in machine learning and machine intelligence. The conference will feature insightful presentations, engaging discussions, and vibrant networking opportunities, all set in the culturally rich city of Tokyo.

MLMI 2026 aims to advance the field of machine learning and machine intelligence by fostering interdisciplinary collaboration and showcasing cutting-edge research. The scope of MLMI 2026 includes, but is not limited to, deep learning, reinforcement learning, natural language processing, computer vision, robotics, AI ethics, and the integration of machine intelligence in domains such as healthcare, finance, autonomous systems, and environmental sustainability. By providing a platform for knowledge exchange and collaboration, MLMI 2026 seeks to drive innovation and inspire the development of intelligent systems that benefit society.

MLMI 2026 offers a unique opportunity to engage with the latest research, connect with global experts, and contribute to the future of machine intelligence. We invite you to join us for four days of learning and networking. You are guaranteed to leave the event with a suitcase full of knowledge and inspiration.

cfp: CCEAI 2027
url: https://cceai.org/index.html
deadline: Sept. 20, 2026
Conference Dates: Jan. 21-24, 2027

"Self-governance, Integration and Trustworthiness — Shaping the Future of Next-Generation Intelligent Systems"

Welcome to the official website of 2027 11th International Conference on Control Engineering and Artificial Intelligence (CCEAI 2027). CCEAI 2027 conference is organized by Shanghai Jiao Tong University, and technically sponsored by Asia Pacific Institute of Science and Engineering (APISE), and will be held in Shanghai Jiao Tong University (Minhang Campus) · Shanghai· China from Jan. 21 to 24, 2027.

We warmly welcome prospective authors to submit their new research or technological contributions to CCEAI 2027, for sharing valuable experiences with scientists and students from around the world.

cfp: CTML2026
URL: https://www.ctml.org/index.html
Submission deadline: June 30, 2026
Conference date: November 27-29, 2026

The International Conference on Computational Theory and Machine Learning (CTML 2026) will be held in Rio de Janeiro, Brazil, during November 27-29, 2026. This conference focuses on computational theory, machine learning foundations, algorithm design, and related interdisciplinary research. It provides a high-level academic platform for global researchers, scholars, and practitioners to share innovative findings, exchange ideas, and promote academic cooperation. CTML 2026 welcomes high-quality papers and presentations, aiming to advance theoretical progress and practical applications in computational theory and machine learning.

Publication
All submissions will be sent for double-blind review. Accepted papers with registration and presentation will be published in Conference Proceedings, and submitted for index by Scopus and Ei Compendex.

cfp: AIEE2026
URL: https://aiee.net/
Deadline: May 1, 2026
Conference: September 11-13, 2026
Location: Hangzhou, China

Welcome to the 2026 7th International Conference on Artificial Intelligence in Electronics Engineering (AIEE 2026). The conference will be held in Hangzhou, China during September 11-13, 2026; Sponsored by Hangzhou International Innovation Institute of Beihang University, China.
AIEE is a forum for scientists, engineers and researchers to discuss and exchange novel ideas, results, experiences, and work-in-process. This conference will also provide an excellent opportunity for the young researchers to expose their work to international scrutiny, receive feedback from peers from different parts of world, gain from the vast experience and expertise of the leaders in this important field of research and to open up the scope for new research collaborations among the international community of participants and invited delegates.

cfp: AIPE 2026
url: https://www.aipe.org/index.html
Submission deadline: 10 June 2026
Conference Location & date: Nanjing, China during October 30 - November 1, 2026

Artificial Intelligence and Power Engineering

AI techniques have become popular for solving different problems in power systems like control, planning, scheduling, forecast, etc. These techniques can deal with difficult tasks faced by applications in modern large power systems with even more interconnections installed to meet increasing load demand. Artificial intelligence has provided a great potential and space for optimization in the field of power engineering. This can not only bring about a significant improvement not only with regards to the economic aspects but also in the safety and the actual control of the operation.

In order to provide a forum for accessing to the most up-to-date and authoritative knowledge from both industrial and academic worlds, sharing best practice in the field of artificial intelligence and power engineering, we're glad to organize the 2026 4th International Conference on Artificial Intelligence and Power Engineering (AIPE 2026). It will be held at Nanjing, China during October 30 - November 1, 2026. AIPE2026 is sponsored by Southeast University, China. The aim and objective of AIPE is to present the latest research and results of scientists related to artificial intelligence and power engineering topics. The meeting will provide an opportunity to highlight recent developments and to identify emerging and future areas of growth in this exciting field.