KENNESAW, Ga. | Mar 17, 2025
Yi Gu, a student in the Master of Science in Information Technology (MSIT) program at 快猫成版视频, is at the forefront of research exploring the intersection of IoT and FL.
The Internet of Things (IoT) is revolutionizing the way everyday objects interact with technology. From home gadgets to wearable tech, IoT devices are connected to the internet, collecting and sharing data to enhance efficiency and user experience. A critical challenge in this field is ensuring that these interconnected devices perform tasks effectively while maintaining data security and privacy.
Federated Learning (FL) plays a crucial role in addressing this challenge. Rather than transmitting raw data, each device learns independently and only updates its progress to a central server. This method greatly boosts privacy while still enabling smart devices to become more efficient over time.
Amidst this technological transformation, Yi Gu, a student in the Master of Science in Information Technology (MSIT) program at 快猫成版视频, is at the forefront of research exploring the intersection of IoT and FL. With a strong academic background and a passion for practical applications of technology, Yi shares his experiences, challenges, and aspirations in the field of information technology.
His current research focuses on improving smart devices within IoT and involves using advanced computing techniques to analyze how well these devices perform various tasks while keeping data private and secure. 鈥淢y research aims to carry out a detailed analysis of how FL systems work on different machine learning tasks in various situations,鈥 he explains. By addressing privacy and efficiency concerns, his research contributes to making IoT devices smarter and safer for everyday use. 鈥淩ecognizing the potential impact of FL in IoT,鈥 he says, 鈥淚 chose to focus my research on this intersection.鈥
Yi's interest in computing and machine learning began during his undergraduate studies at Dalian University of Technology in China, where he earned a bachelor's degree in engineering in computer science and technology, with a minor in English. Before joining KSU for the MSIT program, he worked as a field application engineer for TP-Link in Shenzhen, China. His interest in solving practical problems led him to pursue a graduate degree at KSU as a steppingstone toward a Ph.D. program and a long-term career in research.
Despite facing challenges such as setbacks in experimental progress and paper rejections, Yi developed resilience and a strategic approach to overcoming obstacles. 鈥淭o address these challenges, I maintained a positive mindset and approached obstacles as opportunities for growth,鈥 he shares. Consulting relevant literature, engaging in discussions with advisors, and refining his work based on reviewer feedback have all helped him strengthen his research.
Yi鈥檚 dedication has already led to notable achievements. He published papers at the and in the journal . Currently, he is working on another paper and preparing for his master鈥檚 thesis. Reflecting on his research journey, he acknowledges how his skills have evolved and how he has become more proficient in conducting research. His first research project led to the publication of a conference paper, and subsequent projects have resulted in further publications.
Yi also credits KSU's supportive academic environment for his progress. He appreciates the dedication and approachability of faculty members who provide well-structured lectures and valuable research guidance. 鈥淪enior faculty like Dr. Shaoen Wu provide high-level guidance on research methodologies, while junior faculty like Dr. Liang Zhao and Dr. Bobin Deng offer detailed research direction,鈥 he says. The university鈥檚 extensive resources have further enhanced his learning experience.
One of his most memorable experiences was a meeting arranged by Dr. Shaoen Wu at the beginning of his studies. 鈥淒uring this meeting, Dr. Wu, along with my advisor, Dr. Liang Zhao, provided me with a comprehensive overview of the program and shared valuable methodologies for conducting research and structuring my studies,鈥 he recalls. This guidance shaped his approach to coursework, research, and long-term aspirations.
Beyond academics, Yi emphasizes the importance of maintaining overall well-being. 鈥淭o achieve a balanced schedule, I dedicate time each Sunday to plan and distribute academic responsibilities for the upcoming week,鈥 he explains. He actively participates in student organizations, including the International Students Fellowship, where he helps international students adapt to campus life. 鈥淚 meet with them every Friday night to love, serve, and help international students spiritually, physically, and mentally,鈥 Yi shares. He also takes advantage of KSU鈥檚 workshops and recreational facilities, enjoying activities like CPR training and outdoor walks on sunny afternoons.
Looking ahead, Yi plans to pursue a Ph.D. in a research field closely related to his current area of study. 鈥淢y long-term goal is to establish myself as a researcher in academia, where I can continue to expand knowledge and contribute to technological advancements in my field,鈥 he shares.
Yi encourages future students to maximize their learning experience by leveraging KSU鈥檚 resources. 鈥淭hey should take full advantage of the university鈥檚 academic and professional resources, including research opportunities, faculty mentorship, and networking events. By doing so, students can maximize their learning experience and position themselves for success in their future careers,鈥 he advises. With a clear vision and a strong foundation in research, Yi Gu is making significant contributions to the evolving field of machine learning and IoT.
鈥 By Tracy Gaudlip
Photo by Darnell Wilburn