11-28 08:42发布于天津
在这个由数据驱动、算法编织的时代，科技创新的每一次飞跃都在重塑人类社会的面貌。天津法拉古特学校，作为孕育全球视野人才的平台，始终领跑于教育革新的浪潮之巅。11月25日，我们举办了Next-Gen“未来序”系列的第二场讲座，有幸邀请到天津大学电气自动化与信息工程学院教授、博士生导师高忠科先生。他以“复杂网络与脑机混合智能”为探索核心，引领学生们穿越科技的边界，激发了他们对未来世界的无限憧憬与想象。
In this era of data-driven and algorithmic weaving, every leap in technological innovation is reshaping the face of human society. Tianjin Farragut School, as a platform for nurturing talents with global perspectives, has always been at the forefront of educational innovation. November 25th, we hosted the second lecture in the Next-Gen Series, and had the honour of inviting Zhongke Gao, Professor and Doctoral Supervisor of School of Electrical Automation and Information Engineering at Tianjin University. With ‘Complex Networks and Brain-Computer Hybrid Intelligence’ as the core of his exploration, he led students to cross the boundaries of science and technology, inspired their unlimited vision and imagination of the future world.
高忠科教授的讲座从复杂系统与混沌理论入手，通过“蝴蝶效应”阐明了其在自然和社会中的重要性。接着，高教授介绍了脑机接口技术，包括侵入式和非侵入式接口，展示了其在康复治疗中的应用。在人工智能与脑电信号方面，他探讨了利用深度学习和复杂网络技术对脑电信号进行解码，实现情绪识别、疲劳监测等功能。通过这些内容，高忠科教授不仅提供了丰富的理论知识，还展示了这些技术在实际生活中的广泛应用前景。
Professor Zhongke Gao's lecture started with complex systems and chaos theory, and illustrated its importance in nature and society through the ‘butterfly effect’. He then introduced brain-computer interface technology, including invasive and non-invasive interfaces, and demonstrated its application in rehabilitation therapy. On artificial intelligence and EEG signals, he explored the use of deep learning and complex network technology to decode EEG signals for emotion recognition, fatigue monitoring and other functions. Through these contents, Professor Zhongke Gao not only provided a wealth of theoretical knowledge, but also demonstrated the prospect of the wide range of applications of these technologies in real life.
概念普及
CONCEPT
在实际应用方面，高教授重点介绍了意念控制无人机和康复治疗。意念控制无人机技术通过脑电信号实现了无需遥控器的无人机控制，如避障飞行，展示了人机交互的新方式。在康复治疗领域，高忠科教授的团队研发的脑机接口设备，通过捕捉脑电信号，帮助脑损伤患者重建神经回路，促进肢体功能恢复，特别是改善了脑卒中后遗症患者的手部功能。此外，该技术还应用于情绪识别、睡眠监测和疼痛预测等领域，体现了其广泛的实用价值。
In terms of practical applications, Professor Gao focused on idea-controlled drones and rehabilitation therapy. Idea-controlled drone technology demonstrates a new way of human-machine interaction by realising drone control without a remote control, such as obstacle avoidance flight, through EEG signals. In the field of rehabilitation therapy, Professor Zhongke Gao's team developed a brain-computer interface device that captures EEG signals to help rebuild neural circuits in brain-injured patients and promote the recovery of limb function, especially improving hand function in patients with post-stroke sequelae. In addition, the technology has also been applied in the fields of emotion recognition, sleep monitoring and pain prediction, demonstrating its wide practical value.
高忠科教授的讲座内容
Lecture Content by Professor Zhongke Gao
FUTURE
未来预测
展望未来，高教授提出脑机接口技术在医疗康复、人机交互、智能辅助等领域的广阔应用前景。他强调了安全性和伦理问题，确保数据隐私和心理健康。同时，他还讨论了技术挑战，如提高信号采集精度、增强系统稳定性及降低成本。未来研究将聚焦于脑机接口与人工智能的深度融合，通过先进算法实现更高效的脑电信号解读。高教授预测，未来3到5年，脑机接口技术将迎来爆发式增长，为人类生活带来便利和创新。
Looking into the future, Professor Gao proposed broad application prospects of brain-computer interface technology in medical rehabilitation, human-computer interaction, intelligent assistance and other fields. He emphasised safety and ethical issues to ensure data privacy and mental health. He also discussed technical challenges such as improving signal acquisition accuracy, enhancing system stability and reducing costs. Future research will focus on the deep integration of brain-computer interfaces and artificial intelligence to achieve more efficient EEG signal interpretation through advanced algorithms. Professor Gao predicted that brain-computer interface technology will see explosive growth in the next three to five years, bringing convenience and innovation to human life.
高忠科教授的讲座内容
Lecture Content by Professor Zhongke Gao
Q&A
问答环节
在讲座的问答环节中，高忠科教授回答了同学们的多个问题。首先，来自Sophomore年级的Emily同学提问关于脑机接口在交通实践中的应用，高教授解释了如何通过脑电信号监测驾驶员的疲劳状态，提高行车安全。接着，来自IGCSE年级的Frimlin Kemolier同学问及双盲测试的具体操作，高教授说明了通过双盲测试验证脑机接口的有效性，确保实验结果的可靠性和真实性。最后，他鼓励同学们积极投身科研，为解决实际问题贡献力量，共同推动科技进步和社会发展。
During the Q&A session of lecture, Professor Zhongke Gao answered several questions from students. Firstly, Emily from Sophomore asked a question about the application of brain-computer interface in traffic practice. Professor Gao explained how to monitor the driver's fatigue state through EEG signals to improve driving safety. Then, Frimlin Kemolier from IGCSE asked about the specific operation of double-blind testing. Professor Gao explained how the effectiveness of brain-computer interfaces can be verified through double-blind testing to ensure the reliability and authenticity of experimental results. Finally, he encouraged students to actively engage in scientific research, contribute to solving practical problems and jointly promote scientific and technological progress and social development.
高忠科教授的讲座现场
Lecture Site by Professor Zhongke Gao
NEXT-GENERATIONy
总体来说，《复杂网络与脑机混合智能》不仅全景式地勾勒出复杂系统与混沌理论、脑机接口技术的深邃内涵，更深入挖掘了这些前沿技术在现实世界中的广泛应用。如同一次深刻洞察，将同学们的思想推向了前所未有的维度。未来，天津法拉古特学校将继续引领Next-Gen“未来序”系列讲座，点燃学生的学术热情，拓宽他们的认知边界。再次感谢高忠科教授的精彩分享，让我们共同期待下一次科技与智慧的交汇。
Overall, ‘Complex Networks and Brain-Computer Hybrid Intelligence’ not only panoramically outlines the profound connotations of complex systems and chaos theory, and brain-computer interface technology, but also digs deeper into the wide range of applications of these cutting-edge technologies in the real world. Like a profound insight, it pushed students' thoughts to an unprecedented dimension. In the future, Tianjin Farragut School will continue to lead the Next-Gen lecture series to ignite students' academic passion and broaden their cognitive boundaries. Thanks to Professor Zhongke Gao for his wonderful sharing, and let's look forward to the next meeting of technology and wisdom.
声明：本文内容为国际教育号作者发布，不代表国际教育网的观点和立场，本平台仅提供信息存储服务。
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