2025年图像处理，通信与机器学习国际会议 (IPCML 2025) 
2025 International Conference on Image Processing, Communications and Machine Learning (IPCML 2025)
会议地点：青岛，中国
时间: 2025年8月29日- 31日 
网址: http://www.ipcml.net/ 
邮箱: ipcml_conf@163.com 

● 会议简介
2025年图像处理，通信与机器学习国际会议（IPCML 2025）将于 2025 年 8 月 29-31 日在中国青岛举行。IPCML 2025 将汇集顶尖的学术科学家、研究学者和研究人员，分享和交流有关图像处理、通信和机器学习各方面的经验和研究成果。它还将为研究人员、从业人员和教育工作者提供一个重要的跨学科论坛，介绍和讨论图像处理、通信和机器学习领域的最新创新、趋势、关注点、遇到的实际挑战和采用的解决方案。

● 论文出版和检索
被录用的文章将被收录在会议论文集，由SPIE 出版，该论文集将收录在 SPIE 数字图书馆中并被Ei Compendex，Scopus，Web of Science 等检索 (该出版社EI检索非常稳定)

● 征文主题 
（主题包括但不限于这些,更多详细主题请见官网：http://www.ipcml.net/topics.html ）
图像去噪
图像滤波
图像复原
通信软件与多媒体
通信理论
绿色通信系统与网络
物联网与传感器网络
自然语言处理
机器学习方法
学习与自适应控制
识别与感知的学习/适应

● 演讲专家
Prof. Linlin Shen, 深圳大学，中国

Prof. Pingyi Fan (IET Fellow), 清华大学，中国

Prof. Paolo Mercorelli, 吕内堡大学，德国

Prof. Thomas Hanne, 瑞士西北应用科学与艺术大学，瑞士

● 提交论文
1. CMT线上投稿系统：https://cmt3.research.microsoft.com/IPCML2025/  
2. 直接将您的文章或摘要投到我们的会议邮箱，我们收到后会第一时间回复您。
投稿邮箱：ipcml_conf@163.com  
3.审稿流程：作者投稿 - 稿件收到确认（1个工作日）- 初审(1-3工作日) - 复审（5-10工作日）- 告知结果（接受/拒稿），越早投稿越早收到文章结果。

● 投稿说明
1. 本会议官方语言为英语，投稿者务必用英语撰写论文。
2. 稿件应为原创作品，未在国内外刊物上发表过, 不接受一稿多投。 作者可通过Crosscheck, Turnitin或其他查询系统查重，否则由文章重复率引起的被拒搞将由作者自行承担责任。涉嫌抄袭的论文将不被出版，且公布在会议主页。
3. 请根据格式模板文件编辑您的文章（http://www.ipcml.net/submission.html ）
4. 文章至少8页，不超过20页。学生作者或多篇投稿有优惠。
5. 只做报告不发表论文的作者只需提交摘要。

● 联系方式
会议官网：http://www.ipcml.net/  
邮箱： ipcml_conf@163.com 
电话咨询：15001035132 （微信同号）
QQ咨询：1455341287（您将在第一时间得到回复，添加时请备注“IPCML 2025”）

2025 International Conference on Image Processing, Communications and Machine Learning (IPCML 2025) -EI Compendex&Scopus
Location: Qingdao, China
Dates: August 29-31, 2025
Website: http://www.ipcml.net/ 
E-mail: ipcml_conf@163.com 
Conference Format: Online and Onsite

2025 International Conference on Image Processing, Communications and Machine Learning (IPCML 2025), will be held during August 29-31, 2025 in Qingdao, China. IPCML 2025 is to bring together leading academic scientists, research scholars and researchers to share and exchange their experiences and research results about all aspects of Image Processing, Communications and Machine Learning. It would also provide a premier interdisciplinary forum for researchers, practitioners and educators to present and discuss the most recent innovations, trends, concerns, practical challenges encountered and the solutions adopted in the field of Image Processing, Communications and Machine Learning.

Topics:
Image Segmentation
Image Denoising
Image Filtering
Image Restoration
Communication Software and Multimedia
Communication Theory
Green Communication Systems and Networks
IoT and Sensor Networks
Natural Language Processing
Machine learning methods
Learning and adaptive control
Learning/adaption of recognition and perception 
(For more topics: http://www.ipcml.net/topics.html )

Paper Publication and indexing:
After a rigorous reviewing process, accepted papers after proper registration and presentation will be published in the conference proceedings by SPIE, which will be included in SPIE Digital Library and indexed by EI Compendex, Web of Science, Scopus, Inspec, Chemical Abstracts, The Harvard-Smithsonian/NASA Astrophysics Data System (ADS), and others.

Speakers:
Prof. Linlin Shen, Shenzhen University, China

Prof. Pingyi Fan, Tsinghua University, China

Prof. Paolo Mercorelli, Leuphana University of Lüneburg, Germany

Prof. Thomas Hanne, University of Applied Sciences and Arts Northwestern Switzerland, Switzerland

Paper Submission (Choose one way to submit your paper):
1. Submission System: https://cmt3.research.microsoft.com/IPCML2025/ 
2. Email Submission: ipcml_conf@163.com 

You are also welcome to join us as:
As Presenter: If you want to share you latest research results by giving presentation without publish papers, please submit your abstract (300-400 words)
As Listener: You are also warmly welcomed to take part in IPCML 2025 as a listener even though you have no paper to submit.
As Reviewer: To ensure the fairness and guarantee the quality of IPCML 2025, we cordially invite experts and scholars join us as a reviewer.

Contact us:
Email: ipcml_conf@163.com 
Tel: +852 95096877
Website: http://www.ipcml.net/