导师来地里捡漏， 还没offer的学生看过来， 导师极速招人 【cs 专业phd】
10493
Fully-Funded Ph.D. Positions (up to 2)
Air-Ground Integrated Intelligent System Lab, Wright State University
Position: Ph.D. Student
Start Date: Fall 2026 or Spring 2027
The Air-Ground Integrated Intelligent System Lab at Wright State University is seeking up to two
fully funded Ph.D. students in the Department of Computer Science and Engineering. Students will
work under the supervision of Dr. Wen Zhang. The lab focuses on designing intelligent AI/ML models
including diffusion models, deep reinforcement learning (DRL), and graph neural networks (GNNs)
to optimize air-ground integrated systems. We are particularly interested in how unmanned aerial
vehicles (UAVs/drones) can collaborate with or assist ground transportation, and how drone-captured
imagery can be synthesized, interpreted, and acted upon in real time. Current lab projects span
intelligent transportation systems, IoT, and sensor networks, with cross-domain collaborations.
Ongoing NSF-funded research projects include:
(1) Aerial Image Synthesis and Perception via Diffusion Models. Building on the AeroDiffusion
framework, this project develops keypoint-aware, text-conditioned diffusion models for complex aerial
scene generation and domain adaptation. The goal is to provide scalable synthetic training data and
robust perception pipelines for downstream UAV-assisted transportation tasks.
(2) Air-Ground Integrated System Optimization. This research develops AI/ML frameworks that
enable UAVs and ground vehicles to collaboratively make intelligent decisions in dynamic, safety-
critical environments such as urban traffic. This includes leveraging graph neural networks to model
spatial and temporal dependencies in mixed air-ground traffic systems, supporting adaptive multi-
agent coordination and system-level decision making.
Incoming students should be self-motivated and eager to apply AI/ML methodologies to tackle
real-world challenges in air-ground integrated systems and intelligent transportation through
interdisciplinary applied research.
Qualifications:
1. A Bachelor’s degree or, preferably, a Master’s degree in Computer Science, Electrical and
Computer Engineering, Industrial and Systems Engineering, or a closely related field.
2. Experience or strong interest in AI/ML, including deep learning, reinforcement learning,
generative models (e.g., diffusion models), or graph neural networks.
3. Background or interest in autonomous systems, UAV/drone applications, intelligent
transportation, or IoT systems is a plus.
Accepted students will receive full funding covering tuition and a monthly stipend of $1,600–$2,000
per month.
If you hold a Ph.D. and are interested in collaboration as a postdoctoral researcher, please feel free
to reach out — I am very open to such opportunities.
Interested candidates are encouraged to contact Dr. Wen Zhang at 1point3acres.com. Please
use the subject line “PhD position: [Your Name]” and include your CV and transcripts in the email.
Lab advising philosophy: sites.google.com/view/wenzhang-lab/student-advising
Application guidance: sites.google.com/view/wenzhang-lab/recruiting
About the Department: The Department of Computer Science and Engineering at Wright State
University is part of the College of Engineering and Computer Science. The department supports a
vibrant graduate research culture with state-of-the-art computing resources and strong ties to industry
and government labs in the Dayton, Ohio region.
About Dr. Wen Zhang: Dr. Zhang is a tenure-track Assistant Professor in the Department of
Computer Science and Engineering at Wright State University. She received her Ph.D. from Texas
A&M University-Corpus Christi in 2023. Her research spans generative AI for aerial imaging,
intelligent IoT systems, deep reinforcement learning, and sensor networks. She has received funding
from the National Science Foundation (NSF), including an NSF ERI Award and NSF CRII Award. Her
work has been published at venues including DATE, ACM Transactions on Sensor Networks, and
IEEE TCAD.
Air-Ground Integrated Intelligent System Lab, Wright State University
Position: Ph.D. Student
Start Date: Fall 2026 or Spring 2027
The Air-Ground Integrated Intelligent System Lab at Wright State University is seeking up to two
fully funded Ph.D. students in the Department of Computer Science and Engineering. Students will
work under the supervision of Dr. Wen Zhang. The lab focuses on designing intelligent AI/ML models
including diffusion models, deep reinforcement learning (DRL), and graph neural networks (GNNs)
to optimize air-ground integrated systems. We are particularly interested in how unmanned aerial
vehicles (UAVs/drones) can collaborate with or assist ground transportation, and how drone-captured
imagery can be synthesized, interpreted, and acted upon in real time. Current lab projects span
intelligent transportation systems, IoT, and sensor networks, with cross-domain collaborations.
Ongoing NSF-funded research projects include:
(1) Aerial Image Synthesis and Perception via Diffusion Models. Building on the AeroDiffusion
framework, this project develops keypoint-aware, text-conditioned diffusion models for complex aerial
scene generation and domain adaptation. The goal is to provide scalable synthetic training data and
robust perception pipelines for downstream UAV-assisted transportation tasks.
(2) Air-Ground Integrated System Optimization. This research develops AI/ML frameworks that
enable UAVs and ground vehicles to collaboratively make intelligent decisions in dynamic, safety-
critical environments such as urban traffic. This includes leveraging graph neural networks to model
spatial and temporal dependencies in mixed air-ground traffic systems, supporting adaptive multi-
agent coordination and system-level decision making.
Incoming students should be self-motivated and eager to apply AI/ML methodologies to tackle
real-world challenges in air-ground integrated systems and intelligent transportation through
interdisciplinary applied research.
Qualifications:
1. A Bachelor’s degree or, preferably, a Master’s degree in Computer Science, Electrical and
Computer Engineering, Industrial and Systems Engineering, or a closely related field.
2. Experience or strong interest in AI/ML, including deep learning, reinforcement learning,
generative models (e.g., diffusion models), or graph neural networks.
3. Background or interest in autonomous systems, UAV/drone applications, intelligent
transportation, or IoT systems is a plus.
Accepted students will receive full funding covering tuition and a monthly stipend of $1,600–$2,000
per month.
If you hold a Ph.D. and are interested in collaboration as a postdoctoral researcher, please feel free
to reach out — I am very open to such opportunities.
Interested candidates are encouraged to contact Dr. Wen Zhang at 1point3acres.com. Please
use the subject line “PhD position: [Your Name]” and include your CV and transcripts in the email.
Lab advising philosophy: sites.google.com/view/wenzhang-lab/student-advising
Application guidance: sites.google.com/view/wenzhang-lab/recruiting
About the Department: The Department of Computer Science and Engineering at Wright State
University is part of the College of Engineering and Computer Science. The department supports a
vibrant graduate research culture with state-of-the-art computing resources and strong ties to industry
and government labs in the Dayton, Ohio region.
About Dr. Wen Zhang: Dr. Zhang is a tenure-track Assistant Professor in the Department of
Computer Science and Engineering at Wright State University. She received her Ph.D. from Texas
A&M University-Corpus Christi in 2023. Her research spans generative AI for aerial imaging,
intelligent IoT systems, deep reinforcement learning, and sensor networks. She has received funding
from the National Science Foundation (NSF), including an NSF ERI Award and NSF CRII Award. Her
work has been published at venues including DATE, ACM Transactions on Sensor Networks, and
IEEE TCAD.
