面向AI时代的空天地一体化信息技术国际科技合作计划 | CCF程序员大会

峰会亮点如下：

深入了解AI时代的卫星通信行业面临的挑战与机遇；

跟随人工智能专家一同了解先进AI技术的发展，与研究者共同感受AI技术在东南亚国家不同行业的应用；

商用产品展览，直观感受卫星通信技术的最新成果和应用案例；

预见AI技术与卫星通信技术的发展趋势，把握行业发展的脉搏。

议程：

时间：2024年12月22日13:25-17:10

论坛主席

周一青

中国科学院计算技术研究所无线通信技术研究中心研究员

个人简介：周一青，中国科学院研究员，博导，IEEE高级会员。1997年及2000年于东南大学分别获学士及硕士学位，2004年于香港大学获得博士学位。目前为中科院计算所无线通信技术研究中心副主任，研究方向为通信与计算融合、异构网络、协同传输等。主持和承担了国家基金委、国家科技重大专项、国家重点研发专项等多个项目。研究成果入选“十二五”北京市基金优秀成果汇编，并获得2011年北京市科学技术奖二等奖和2012年中国电子学会电子信息科学技术二等奖。已在国内外知名期刊和会议上发表论文超过150篇，包括ESI高被引论文3篇，完成中文著作一本，英文书章三篇，已申请3项美国专利。获得IEEE ICC2018等六项最佳国际会议论文奖，2021年北京地区广受关注学术论文奖，2011年北京青年优秀科技论文一等奖。担任IEEE ComSoc北京分会副主席，担任IEEE IoT等多个国际知名期刊的Associate/Guest Editor，担任IEEE ICC2019 Executive Co-chair等。

主持人

刘畅博士

中国科学院计算技术研究所无线通信技术研究中心 博士

中-泰空天地一体化未来信息技术联合实验室 主任助理

个人简介：刘畅，博士，主要研究方向为空天地一体化信息技术、机器视觉技术、人工智能技术等。牵头或参与国家及省部级科研项目20余项，授权发明专利10余项，发表学术论文20余篇，参编著作1部，担任多个国际知名期刊、会议的编委和审稿人。作为主要人员参与建设了“中-泰空天地一体化未来信息技术联合实验室”、“车载卫星通信联合实验室”等跨国、跨行业的研究机构，推动了空天地一体化信息技术与不同行业应用的融合以及产业化工作

演讲嘉宾

Mr. Nutchakron Chuaychareon

泰国国家电信大众有限公司（NT）

卫星运营与业务部资深业务开发工程师

个人简介：An accomplished engineer with extensive experience in the telecommunications and electrical industries, specializing in satellite communications, solar power systems, and engineering management. Demonstrates a proven track record of driving innovation and operational excellence. Currently focused on advancing business development strategies and evaluating financial feasibility to support transformative projects in the satellite industry.

演讲主题：Challenges and Opportunities for Satellite Operators in the AI Era

演讲摘要：The speech explores the transformative potential of satellites in shaping the next wave of dynamic industries, particularly in the AI-driven era. It begins with an introduction to sectors poised for growth and innovation, setting the stage for a discussion on the current role of satellites within the AI ecosystem, including their impact on data connectivity, automation, and emerging applications.

The speech then addresses key challenges faced by satellite operators, such as technological integration, data management, and market competition, while highlighting the critical role of National Telecom (NT) in Thailand’s telecommunications and satellite market landscape.

Finally, it concludes with an exploration of emerging opportunities, and a forward-looking perspective on how satellite operators can shape the future of global connectivity and digital infrastructure.

马英矫博士

北京中科晶上科技股份有限公司 总经理助理

个人简介：马英矫，高级工程师，北京邮电大学信息与通信工程专业博士毕业，现任北京中科晶上科技股份有限公司总经理助理，曾任中科院计算所无线中心硬件部负责人。本人长期从事移动通信终端基带芯片、卫星地面关口站系统的研制和产业化工作。作为技术负责人和主要参与人参与了国家科技重大专项、北京市重大科技项目、中科院BM项目以及企业横向合作等十余个项目的研发工作，荣获“中国科学院科技促进发展奖”，发表多篇SCI期刊文章，专利达20余项。在产业化工作方面，面向卫星互联网领域，主导研制中国第一代天通卫星通信的无线通信终端基带芯片和地面关口站系统，并推进卫星在手机直联，汽车直联的业务拓展；面向工业互联网领域，主导研制了工业级5G终端基带芯片，基于芯片研制了计算、通信、控制为一体的开放式无线工业控制系统，积极推进在柔性智造、仓储物流、机器人、工业控制，飞机制造等领域的芯片产业化工作。

演讲主题：The Development and Trends of Satellite Communication Technology and Industry

演讲摘要：在 “一带一路” 国家发展战略引领下，中国以科技共享为核心支撑力，持续推动科学技术的发展与传播，其中卫星通信产业是发展迅猛的重要方向。当前全球卫星星座系统逐渐形成以通信卫星为主的新结构，天通一号卫星系统是中国自主研发的高轨移动通信卫星系统，率先实现了手机直连卫星的通信功能，开启了消费级终端直连卫星的新市场。手机直连卫星作为卫星互联网的重要使用场景，是构建天地一体信息网络，实现星地网络融合通信服务的重要标志和路径。携手“一带一路”国家共建卫星通信产业，不仅可以提高当地人民的生活水平，助力经济发展和社会进步，还可以促进卫星通信技术的不断创新与升级，推动上下游产业链的协同发展，实现双方互利共赢，共同发展。

Prof. Nguyen Huu Trung

河内科技大学 电气与电子工程学院终身副教授

个人简介：NGUYEN HUU TRUNG received the Dipl. of Eng., M.E., and Ph.D. from the Department of Communications Engineering, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology in 1996, 1998, and 2004, respectively. Since 1998, he has been a lecturer in the School of Electrical and Electronic Engineering, Hanoi University of Science and Technology. He is currently tenured as an Associate Professor, senior lecturer, head of Aerospace Electronic Laboratory, head of Digital Communication Group at School of Electrical and Electronic Engineering and deputy director of Facilites management department at Hanoi University of Science and Technology. His research interests include advanced modulation techniques based on Wavelet Theory, GNSS, SDR, massive MIMO, MC-CDMA, 5G/6G broadcasts, IoV, satellites, and UAV.

演讲主题：China-Vietnam bilateral project: Research and Development on New Generation Intelligent Internet of Vehicles Technologies

演讲摘要：China and Vietnam are both currently facing rapid urbanization. This leads to numerous problems and challenges in city management, especially in road traffic systems. Utilizing advanced information and communication technology (ICT), for example artificial intelligence, 5G/6G systems, … to create “intelligent transportation systems (ITSs)” has been widely deemed as an effective solution to solve the road accident and congestion issues and thus has attracted tremendous attentions in various governmental, industrial, and academic sectors. The concept of Internet of vehicles (IoV) allows vehicles to share information with their surroundings, so that the capability of each individual vehicle can be significantly improved. The main objective of the project is to develop a hardware and software Intelligent IoV platform which is installed on vehicles and roadside units (RSUs), such that sensing data collected from various sensors can be shared and processed in real time for facilitating road condition monitoring, route plan, drivers’ status analysis, and rapid response to unexpected events. In this talk, we present the collaboration of researchers in China and Vietnam and recent achivement of the project.

Mr. Pongsakorn Poodtanthong

泰国国家电信大众有限公司（NT）

卫星业务批发与合同管理部门高级监管与合规经理

个人简介：Mr. Pongsakorn Poodtanthong is a National Telecom PLC’s Senior Regulatory Compliance Satellite Wholesale Business and Contract Division, Satellite Operation and Business Department. He has more than 10 years of experience in telecommunications regulations and compliance, contracts and coordinate with Thailand regulator.

演讲主题：Thailand's Satellite Management Policy

演讲摘要：Thailand's satellite management policy significantly influences the nation's technological, economic, and geopolitical progress. This speech examines four key aspects: the evolution of satellite policies and their impact on space technology and communications; the legal and regulatory framework ensuring industry sustainability and compliance with global standards; the dynamics of Thailand's satellite market, including private sector and government involvement and global competitiveness; and future strategies emphasizing innovation, international collaboration, and strategic investments. Additionally, it highlights the Space Activities Act of Thailand as a foundational legal instrument. These insights underscore how Thailand can harness its satellite capabilities to drive economic growth and regional leadership.

Dr. Anto Satriyo Nugroho

印度尼西亚国家研究与创新机构 人工智能与网络安全研究中心主任

个人简介：Dr. Anto Satriyo Nugroho is the head of Research Center for Artificial Intelligence and Cyber Security, National Research and innovation Agency.

Experience：

●Research focus on biometrics, image processing and pattern recognition

●Founder and President of indonesian Association for Pattern Recognition (INAPR) 2017-2022

●Governing Board Member in International Association of Pattern Recognition

●Technical Committee 35-01 Member, National Standardization Agency

●Research Consultant of Indonesian Police in Scientific Crime Investigation (2015)

●Technical Team e-KTP 2012 (indonesia e-lD)

●Team of information Technology for General Election 2009

●Part time lecturer institut Teknologi Indonesia, Swiss German University, UNS Surakarta, Univ. Al Azhar Indonesia, Univ. Padjadjaran, ITB

●Visiting Professor Chukyo UniversityJapan(2003-2007)

演讲主题：Artificial Intelligence in Healthcare in Indonesia

演讲摘要：Indonesia proposed National Strategy of Artificial Intelligence in 2020. The framework of the strategy consists of 4 focus areas, and 5 prorities field in which health services is mentioned as one of the priorities. Application of AI in healthcare is very important issue since Indonesia has more than 17 thousand islands, and the health services varies between one island and the others. In Eastern side of Indonesia, Malaria is still become a serious problem. We develop a Computer Aided Diagnosis System to automatically identify the Malaria status of a patient based on blood smears microphotograph. The data were obtained from various location in Indonesia. We proposed morpho-geometrical feature extraction to deal with morphological alteration of the erythrocyte infected by the parasite. The second example is our effort in pandemic situation. Collaboratively with researchers from various universities and industries, we developed a system to assist diagnosis of Covid-19 from CT-scan images. We worked together in pandemic situation without offline meeting each other. We also collected training dataset from hospitals in Indonesia. The research result was evaluated in the hospital and launched by Indonesia’s President. The evaluation of the system using larger dataset is the future work of this study.

Prof. Drs. Agus Harjoko

印度尼西亚加查马达大学

数学与自然科学学院教授

个人简介：Professor Agus Harjoko specializes in Computer Vision, Artificial Intelligence (AI), and Digital Image Processing. His work integrates advanced AI techniques with practical applications in areas such as transportation systems, healthcare imaging, and agricultural monitoring.

Significant Achievements/Contributions:

•⁠Conducted pioneering research in computer vision applications for traffic density estimation, pothole detection, and intelligent transportation systems.  

•⁠Developed cutting-edge AI-based solutions for agricultural monitoring using drones and hyperspectral imaging.  

•⁠Published extensively in high-impact journals, contributing to advancements in biomedical imaging, including early detection of osteoporosis and diabetic macular edema.  

•⁠Authored and led research on intelligent traffic monitoring systems, vehicle speed estimation, and helmet detection using deep learning.  

•⁠Mentored and collaborated on innovative projects involving pattern recognition, machine learning, and multispectral data processing.  

Prof. Harjoko’s work has been funded by esteemed organizations such as the Indonesian Ministry of Education and LPDP, and his contributions have had a tangible impact on both academic and applied fields.

演讲主题：AI in Agriculture: A few case studies

演讲摘要：In this talk, a brief summary of the use of AI to solve several cases in the agricultural sector is presented. In the first case, AI is used to predict the viability of plant seeds by evaluating the internal condition of the seeds. In the second case, IoT and AI were used to increase shallot productivity in Kulon Progo district in Yogyakarta, Indonesia, by arranging the irrigation system and mapping the nutritional content of the onion farming land. Next, AI is used to characterize the tea based on the aroma and color of the brew. In the fourth case, AI is used to classify dried tobacco leaves based on the rules that applicable for the company. Promising results were obtained for the cases discussed.

Prof. Kok-Lim Alvin Yau

马来西亚拉曼大学 教授

个人简介：Prof. Kok-Lim Alvin Yau is a Professor at Universiti Tunku Abdul Rahman, Malaysia, specializing in applied artificial intelligence, generative artificial intelligence, augmented intelligence, and large language models. With over 16 years of experience in AI and its applications, he has secured and led five major external research grants, including four national-level and one international grant from the Asia-Pacific Economic Cooperation (APEC). His APEC-funded project, Application of Generative Artificial Intelligence to Accelerate Industry 4.0 Transformation in Micro, Small, and Medium Enterprises (MSMEs), aims to develop policies that assist MSMEs in adopting generative AI across the Asia-Pacific region. Prof. Yau has been named among Stanford University's Top 2% Scientists for five consecutive years (2020–2024) and is also included in the career-long Top 2% list. He is a Founding Member of the IEEE Special Interest Group on Big Data with Computational Intelligence. Prof. Yau holds a Master's degree from the National University of Singapore and a Ph.D. from Victoria University of Wellington, New Zealand.

演讲主题：Advancing Artificial Intelligence: Personal Research and AI Outlook in Malaysia

演讲摘要：This speech will first explore Prof. Yau‘s research journey, focusing on reinforcement learning and its diverse applications. The research topics discussed will include augmented intelligence and generative adversarial networks (GANs), highlighting their increasing significance in shaping the future of artificial intelligence (AI). The second part of the speech will address the broader AI landscape in Malaysia, focusing on its integration into key economic sectors such as services and agriculture. Examples of AI applications within these industries will be provided, demonstrating their potential to drive transformation and improve operational efficiency. Additionally, the speech will cover the AI outlook in Malaysia, particularly the new Industrial Master Plan 2030, the growing role of generative AI, and its implications for empowering Micro, Small, and Medium Enterprises. The speech will also emphasize the importance of skill development, market growth, and the future opportunities AI offers to Malaysia's economy.

Dr. Noppadon Khiripet

泰国国家科技发展局国家电子和计算机技术中心

知识提取与存档研究团队、数据科学与分析研究组首席研究员

个人简介：Dr. Noppadon Khiripet has joined the National Electronics and Computer Technology Center (NECTEC) since 2001 after completed his Ph.D. in Electrical and Computer Engineering, Georgia Institute of Technology, USA. He is currently a principal researcher in Data Science and Analytics Research Group. His areas of expertise are in machine learning, intelligent systems, and geospatial analytics. During the past decade, he has been involved and led many digital agriculture projects. For example, the prediction of growth and yield of Eucalyptus tree for the paper industry, the development of the population migration model for Brown Plant Hopper outbreaks, and the Agricultural Map for Adaptive Management (Agri-Map) for government’s nation-wide agricultural zoning policy. Moreover, He was the leader in the cognitive and climate-smart agriculture for sugarcane project, which aims to employ AI and remote sensing technology for managing sugarcane estates. His current projects include the UNCCD land degradation assessment and the EUDR deforestation rise assessment.

演讲主题：Large-scale Geospatial AI models for Agriculture in Thailand