Dr. Raja Sooriamurthi

Assistant Professor

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Biography

Raja Sooriamurthi is a Teaching Professor at Carnegie Mellon University's Heinz College, where he serves as the Program Director for the Decision Analytics Systems minor. His teaching interests include Decision Support, encompassing data science, database systems, analytics, and big data, as well as Puzzle-based Learning which emphasizes critical thinking and problem-solving. His research pursuits focus on Artificial Intelligence with an emphasis on cognitive science, case-based reasoning, knowledge management, and machine learning. He has published several papers, contributing significantly to educational methods in Computer Science and Information Systems. His efforts to enhance student learning through innovative teaching strategies have garnered him multiple awards, including the Elliott Dunlap Smith Award for Distinguished Teaching and Educational Service in 2020. He actively participates in program committees for various conferences and has contributed to scholarly publications and educational innovations in the field.

Research Interests

Experience

Teaching Professor

2007-01-01 — Present

Carnegie Mellon University • Pittsburgh, PA

Teaching Professor at Heinz College, focusing on Information Systems and Decision Analytics.

Awards

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Elliott Dunlap Smith Award for Distinguished Teaching and Educational Service

2020-02-01
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Martcia Wade Teaching Award

2018-04-01
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DSI Instructional Innovation Award Competition Finalist

2010-11-01

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.