(Spring 2026 and Fall 2026入学)FIU佛罗里达国际大学计算机学院招收多名全奖博士

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1) 学校简介: 佛罗里达国际大学 (FIU) 是一所公立 R1 研究型大学,被《美国新闻和世界报道》评为前 50 名创新公立大学。学校成立于 1965 年,其校区位于美国十大热门城市之一迈阿密,占地面积 243 万平方米, 2021 年秋季在校学生高达 56592 人,学校规模排全美公立大学前十名,其中包括 16730 名研究生。迈阿密拥有美国最美的海滩,全年气候温和(10~35℃),购物方便,科研生活两不误。迈阿密被《福布斯》评为 “美国最干净的城市”。迈阿密也拥有 1000 多家跨国公司,为学生提供了很好的实习机会。
计算机学院(Knight Foundation School of Computing and Information Sciences)是 FIU 的前 5 个最大学院之一,目前有 38名研究教授和23名教学教授,300 多名研究生,总科研经费支出全美第 38 名。 近期计算机学院更是受到校友 1千万美金捐款($10 Million)以及学校 1.06 亿美金配套经费($106 Million),接下来 10 年中学院以研究为导向大力发展研究生的科研和教育,以及引进 20 个新的教授, 并且提高实验室环境和资源。
另外佛罗里达国际大学最近排名大幅提高,U.S. News 美国公立大学排名46和美国国家大学排名97,其他机构排名如下,参考学校排名网站:
  • In Florida, FIU has been No. 1 for three years in a row in performance-based funding metrics that measure student success.
  • In the U.S. News & World Report rankings released last week, FIU made the top 50 public university list again at No. 46 and was ranked No. 1 in the nation for social mobility (upward economic mobility).
  • Washington Monthly ranked FIU the No. 8 university in the country.
  • FIU was named No. 21 among Top Public Universities (No. 70 nationally) by Niche
  • Washington Monthly also recognized FIU as the No. 1 “Best Bang for the Buck” in the Southeast in its national rankings.
  • FIU is one of just 21 institutions nationwide with both the Carnegie R1 designation for very high research activity and the Opportunity Colleges & Universities designation.

2)        导师介绍: Dr. Xuyu Wang is an Assistant Professor in the Knight Foundation School of Computing and Information Sciences at Florida International University. Before joining FIU, he was an Assistant Professor in the Department of Computer Science at California State University, Sacramento. He received his Ph.D. from the Department of Electrical and Computer Engineering at Auburn University in 2018. His research interests include wireless sensing, trustworthy AI, generative AI, Internet of Things, smart health, wireless localization, wireless networks, quantum machine learning, and IoT security. He received the NSF CRII Award in 2021. He was a co-recipient of the ACM FAcct 2023 Best Paper Award, the 2022 Best Journal Paper Award of IEEE ComSoc eHealth Technical Committee, the IEEE INFOCOM 2022 Best Demo Award, the IEEE ICC 2022 Best Paper Award, the IEEE Vehicular Technology Society 2020 Jack Neubauer Memorial Award, the IEEE GLOBECOM 2019 Best Paper Award, the IEEE ComSoc MMTC Best Journal Paper Award in 2018, the IEEE PIMRC 2017 Best Student Paper Award, and the IEEE SECON 2017 Best Demo Award. He was also selected in the 2022-2025 Stanford's list of World Top 2% scientists.
Dr. Xuyu Wang was invited to organize AI health tutorials at CVPR 2020, ICC 2022, CVPR 2022-2025, a special session at IEEE BHI 2021, and give a keynote speech at CVPM 2020. He is an editor of Elsevier Book titled "Contactless Vital Signs Monitoring". He is also an associate editor of IEEE Transactions on Mobile Computing, and a guest editor of ACM Transactions on Sensor Networks. He is also a co-chair of IEEE INFOCOM 2023-2025 Workshop on Deep Learning for Wireless Communications, Sensing, and Security (DeepWireless), a TPC co-chair of IEEE ICC/GLOBECOM 2024-2025 Workshop on Machine Learning and Deep Learning for Wireless Security, a symposium co-chair of AI and Machine Learning for Communications and Networking (AMCN) in ICNC 2025-2026, a tutorials co-chair of IEEE CCNC 2024, a workshop co-chair of IEEE Healthcom 2024, a publicity co-chair of IEEE/ACM CHASE 2023, an EDAS and Publications Co-chair of IEEE MILCOM 2025, and a co-chair of IEEE/ACM CHASE 2025 Workshop on Generative AI for Smart and Connected Health: Innovations, Challenges, and Applications.
当前学校主页:users.cs.fiu.edu
Google Scholar: scholar.google.com
3)RA Positions Available (Starting Spring 2026 and Fall 2026)
I am looking for highly self-motivated graduate students (PhD students and Master students) and undergraduate students who are interested in (i)trustworthy AI (e.g., robustness, privacy, explainability, fairness, and generalization), generative AI, LLM, federated learning, edge AI, and multimodal AI in wireless, smart health, digital twins, HCI, drone, LEO satellite, and other IoT systems; (ii)AI-driven next-generation wireless and sensing systems by using SDR devices (e.g., USRP), RFID, mmWave, Wi-Fi, FPGA, or PCB hardware; (iii)AI-driven IoT security and privacy in device fingerprinting, wireless sensing/localization, LEO satellite, smart speaker, autonomous car/drone/robot, and AR/VR/MR in 2025-2030 year. If you are interested, please send me an email with your CV and transcripts.
申请Spring 2026和Fall 2026的CS PhD, 只需要托福成绩,欢迎发邮件联系([email protected]),附带简历,成绩单以及英语成绩!  欢迎CS,ECE, 自动化,土木或者其他工程,数学统计或者熟悉深度学习,无线系统或者6G,大模型应用,物联网和AI安全,以及移动系统的学生联系。(不在中国境内的申请者:可以正常发RA offer。 国内的学生可以考虑跟其他学校联合PhD培养)。