Dr. Neeraja Yadwadkar

Assistant Professor

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Biography

Neeraja Yadwadkar is an Assistant Professor and Fellow of the Advanced Micro Devices (AMD) Chair in the Chandra Family Department of Electrical and Computer Engineering at the University of Texas at Austin. She specializes in Cloud Computing Systems and has a strong background in Machine Learning (ML). Her research explores the intersection of systems and ML, seeking to advance both fields by applying new ML techniques to complex resource management problems in cloud computing. She is particularly interested in how emerging ML algorithms influence system architecture and hardware design. Neeraja obtained her PhD in Computer Science from the RISE Lab at the University of California, Berkeley, and holds a master's degree from the Indian Institute of Science in Bangalore, India, as well as a bachelor's degree from the Government College of Engineering in Pune.

Research Interests

Requirements for University of Texas at Austin

Master Program
Requirements
GPA Requirement
Required:3
GRE General
TOEFL
Total
Required:79
IELTS
Overall
Required:6.5
Prerequisites
Bachelor's degree from a regionally accredited institution
Application Checklist
  • Online application
  • Application fee
  • Official transcripts
  • Statement of Purpose
  • Three letters of recommendation
  • CV/Resume
Specialization Notes

General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.