Dr. Hadi Hosseini

Associate Professor

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Biography

Hadi Hosseini is an Associate Professor (Research) at Stanford University, specializing in the fields of computational and cognitive neuroscience. His research focuses on investigating large-scale structural and functional brain networks in neuropsychiatric disorders through the use of multimodal neuroimaging and advanced analytical techniques, including graph theoretical multivariate pattern analyses. He is actively developing novel neurofeedback interventions based on Near-Infrared Spectroscopy (NIRS) aimed at enhancing executive functions. Dr. Hosseini has been involved in various academic and research activities, including co-teaching courses like Neuroimaging Research Methods at Stanford. He has received several prestigious awards, such as the Career Development Award from the NIA and the Young Investigator Award from the Brain & Behavior Research Foundation. His work at the intersection of neuropsychiatry and cognitive rehabilitation seeks to translate findings into personalized interventions for individuals with neurocognitive disorders, integrating cognitive rehabilitation techniques with real-time neuroimaging.

Research Interests

Experience

Associate Professor (Research)

2012-01-01 — Present

Stanford University • Stanford, CA

Conducting research on structural and functional brain networks related to neuropsychiatric disorders and teaching courses on neuroimaging.

Awards

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Career Development Award

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NARSAD Young Investigator Award

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CHRI Pilot Early Career Award

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ICGP Junior Investigator Award

2015-08-01
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Presentation Award

2010-11-01
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SAND Travel Award

2010-05-01

Courses

PSYC 250 BIOE 392 NEPR 299 BIOE 391 PSYC 199

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.