Dr. Ananthanarayan Krishnan

Professor

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Biography

Ananthanarayan Krishnan is a Professor in the Department of Speech, Language, Hearing Sciences with extensive training in Auditory Neuroscience and a robust background in both basic and translational research. His work primarily focuses on auditory electrophysiological measures at brainstem and cortical levels, which contribute to understanding how pitch processing is influenced by language experience. He aims to unravel the neural pitch representations that operate within distributed processing networks, specifically how lexical tones and higher-order processes interact along the auditory pathway. Over the past 12 years, Krishnan has established a proven track record thanks to his collaborative research funded by the NIH. His publications extensively cover the temporal attributes of pitch processing and he has been recognized for his contributions with various awards, evidencing his commitment to advancing knowledge in this essential field. Additionally, he leads initiatives aimed at fostering diversity and inclusion within the academic community, ensuring equitable opportunities for underrepresented groups.

Research Interests

Experience

Professor

2000-01-01 — Present

Purdue University • West Lafayette, IN

Conducts research and teaches in the Department of Speech, Language, Hearing Sciences.

Awards

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Fellow

2022-08-01
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Outstanding Graduate Instructor

2019-01-01
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Career Research Achievement Award

2016-10-01
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Seed Success Research Award

2012-10-01

Courses

SLHS 506 - Neural Bases of Hearing SLHS 567 - Electrophysiological Assessment SLHS 302 - Hearing Science

Requirements for Purdue University

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:100
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
Duolingo
Overall Score
Required:135
Overall
Required:135
Prerequisites
Bachelor's degree in CS or related field Foundational concepts of computer science Data structures Computer architecture Operating systems Mathematics through differential equations Linear and matrix algebra
Application Checklist
  • Official Transcripts
  • Academic Statement of Purpose
  • Personal History Statement
  • Resume
  • Three Letters of Recommendation
  • CS Supplementary Form
Specialization Notes

GRE is not required.