Dr. Ding Zhao

Assistant Professor

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Biography

Ding Zhao is an Associate Professor at Carnegie Mellon University, focusing on trustworthy artificial intelligence and its applications in intelligent autonomy within healthcare. He has received numerous accolades including the National Science Foundation CAREER Award and the George Tallman Ladd Research Award. Zhao's research is recognized nationally and internationally, with significant contributions involving collaborations with industry leaders such as Google Brain, Amazon, and Uber. He is actively engaged in the development of innovative robotic systems designed to operate safely in public spaces and improve transportation safety. His recent work includes using machine learning frameworks to enhance robotics capabilities and implementing AI strategies to reduce traffic fatalities. Zhao is also known for his teaching, particularly in courses aimed at enhancing the inclusivity and reliability of artificial intelligence technology. Committed to advancing the field, he continues to lead projects that leverage robotics and AI for improving everyday human experiences. Zhao's contributions have been highlighted in various media outlets, underscoring his role in shaping the future of automated systems, including robots designed to assist in various tasks.

Research Interests

Experience

Associate Professor

2016-01-01 — Present

Carnegie Mellon University • Pittsburgh, PA

Teaching and conducting research in mechanical engineering and robotics.

Awards

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National Science Foundation CAREER Award

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George Tallman Ladd Research Award

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MIT Technology Review 35 Innovators Under 35 China Award

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Ford University Collaboration Award

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Carnegie-Bosch Research Award

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Struminger Teaching Award

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.