Scholarship: Fully-funded
Degree: Ph.D
Nationality: International Students
Location: USA
Application deadlines: April 15, 2025.
Scholarship Description:
Dr. Yunhe Feng, an Assistant Professor in the Department of Computer Science and Engineering at the University of North Texas (UNT), is recruiting two Ph.D. students for Fall 2025.
Dr. Feng’s primary research focus is on Responsible AI, addressing various risks and challenges related to privacy, reliability, transparency, algorithmic fairness, and ethical governance in artificial intelligence, especially large models. The emerging field of Responsible AI has gained widespread attention due to issues like data misuse, facial recognition discrimination, and failures in pedestrian detection in autonomous driving. Concerns over potential privacy breaches, poor robustness, lack of transparency, algorithmic bias, and ethical risks pose significant challenges to the healthy development and scaling of AI technologies.
Before joining UNT, Dr. Feng was a Postdoctoral Fellow at the University of Washington (2020-2022) and earned his Ph.D. in Computer Science from the University of Tennessee in 2020. He also worked as a deep learning intern and research assistant at Oak Ridge National Laboratory.
Dr. Feng has received research funding from major tech companies like Microsoft and Google-Harvard. His work has been featured in over 20 media outlets, including the Financial Times and Yahoo Finance. He was listed in the 2024 Dallas AI 75 List and received the 2023 IEEE Smart Computing Early Career Award.
With over 60 published papers in high-level conferences and journals (such as USENIX Security, CVPR, and AAAI), he has won multiple best paper awards and has served as an area chair and TPC member for numerous international conferences. Dr. Feng has also been invited as a guest lecturer at various prestigious universities. For more information about Dr. Feng, visit his personal website: www.yunhefeng.me.
Available Subjects:
Responsible AI
Eligibility criteria:
- Candidates should possess strong self-motivation and a passion for scientific research, along with perseverance.
- A solid foundation in programming, mathematics, and writing skills is essential.
- Strong research candidates may have reduced requirements for TOEFL, GRE (including writing), or IELTS scores (please contact me for details).
- Students preparing for domestic graduate exams and those planning to study abroad are welcome to inquire.
- Dr. Feng places less emphasis on students’ educational backgrounds and prioritizes their enthusiasm and capability for engaging in research.
- Dr. Feng currently leads the Responsible AI Lab at UNT, which has over 10 members, including 4 Ph.D. students, 2 talented master’s students, 3 undergraduate students, and nearly 10 master’s graduate students. Both undergraduate and master’s students can support Ph.D. research.
- Dr. Feng is committed to providing personalized, one-on-one mentorship and guidance to students, fully respecting their needs. He believes that the success of his students is his own success.
- Dr. Feng collaborates with research institutions such as Oak Ridge National Laboratory, the University of Washington, the University of Tennessee, the University of Michigan, Indiana University, Purdue University, Zhejiang University, and the Chinese University of Hong Kong – Shenzhen, offering opportunities for exchange and internships.
- He can facilitate referrals for internship and job opportunities at companies like Google, Microsoft, Meta, and Amazon.
Application Procedure:
Email your personal CV and transcripts to [email protected].
