Dr. Daniel Uyeh

Assistant Professor

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Biography

Daniel Uyeh is an Assistant Professor in the Department of Biosystems and Agricultural Engineering at Michigan State University, where he focuses on multidisciplinary research in climate-smart decision support systems. He is affiliated with the Upland Field Machinery Research Center and the Smart Agriculture Innovation Center. Dr. Uyeh's work emphasizes the intersection of artificial intelligence and agriculture, aiming to improve agricultural practices through advanced technology and systems modeling. His dedication to innovative solutions in the realm of climate-smart agriculture positions him as a leading researcher in the field. Dr. Uyeh has a background in developing decision support systems and sensing systems to enhance agricultural efficiency and sustainability. He is committed to furthering research that integrates AI into agricultural systems, facilitating decisions that support climate resilience and effective resource management.

Research Interests

Experience

Assistant Professor

2021-08-01 — Present

Michigan State University • East Lansing, MI

Conducts research and teaches in the Department of Biosystems and Agricultural Engineering.

Requirements for Michigan State University

Doctorate Program
Requirements
GPA Requirement
Required:3
TOEFL
Listening
Required:17
Reading
Required:17
Writing
Required:17
Speaking
Required:17
Total
Required:80
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
Prerequisites
Bachelor's degree in Psychology or related field At least 15 credits in psychology courses
Application Checklist
  • Transcripts
  • Letters of Recommendation
  • Statement of Purpose
  • CV/Resume
Specialization Notes

Department of Psychology