プロフィール詳細

プロジェクトを作成

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Dr. Kourosh M.に依頼

United States

Experienced EEG & Clinical Research Specialist | Expert in Brain Signal Analysis & Neuroscience Consulting

プロフィール概要

As a postdoctoral researcher specializing in clinical neuroscience and EEG analysis, I have extensive experience in processing and interpreting brain signals within clinical settings. My expertise includes EEG signal processing, power spectrum analysis, brain connectivity analysis, and the impact of pharmacological interventions, such as caffeine, on neural activity during anesthesia and the wake-up period. While my current focus is clinical research, I bring a strong foundation in basic neuroscience, including research published in Nature on memory consolidation during sleep in animal models. This background in basic science has equipped me with a deep understanding of brain mechanisms. I believe these insights are essential in advancing clinical applications, particularly in EEG analysis and patient data interpretation. I am skilled in designing and analyzing clinical trials, particularly those involving EEG data, and offer consulting in experimental design, clinical trial analysis, and brain-computer interface (BCI) research. I work closely with clients to provide tailored insights that bridge the gap between basic neuroscience and clinical applications, helping to optimize research design and data interpretation.

専門分野

• ☆ Neuroscience
• ☆ Visual Neuroscience
• ☆ Computational Neuroscience
• ☆ Cognitive Neuroscience
• ☆ Systems Neuroscience
• ☆ Biotechnology & Bioengineering
• ☆ Biomedical Engineering
• ☆ Electrical Engineering
• ☆ Electronics Engineering
• ☆ Signal Processing
• ☆ Data Analysis
• ☆ Computer Simulation/Computational Modeling
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Collection
• ☆ Machine Learning
• ☆ Data Cleaning
• ☆ Neural Networks
• ☆ Statistics
• ☆ Regression Analysis
• ☆ Nonlinear Regression
• ☆ Bayesian Statistics
• ☆ Python
• ☆ Matlab
• ☆ Excel
• ☆ Tensorflow
• ☆ LaTex
• ☆ R
• ☆ Scikit-learn
• ☆ Hypothesis
• ☆ Peer Review
• ☆ Research Methodology
• ☆ Technical & Scientific Writing
• ☆ Manuscript & Journal Article Writing
• ☆ Experimental Protocols
• ☆ SOP & Protocol Writing
• ☆ Literature Review
• ☆ Traditional/Narrative Literature Review
• ☆ Systematic Literature Review
• ☆ Scientific Proofreading & Editing
• ☆ Proofreading & Editing

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Non-Medical Regulatory Writing, Technical Writing

Research Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

職務経験

Postdoctoral Scientsit

University of Michigan Medical School

2月 2024 - 現在

Postdoctoral Researcher

University of Michigan

1月 2023 - 1月 2024

Graduate Research Assistant/PhD Candidate

University of Michigan

9月 2017 - 12月 2022

学歴

PhD | Neuroscience

University of Wisconsin - Milwaukee

9月 2015 - 11月 2022

Master of Sciences in Electrical Engineering

Iran University of Science and Technology Tehran - Iran

9月 2009 - 9月 2012

Biomedical Engineering - Bioelectrics

Amirkabir University of Science and Technology

9月 2005 - 9月 2009

認定資格

• Python Object-Oriented Programming

  LinkedIn Learning

  https://www.linkedin.com/learning/certificates/841c2415f47c8360bc1272e6e2648271133c1a456ef85cddd3027f3c9a3e6ca6?lipi=urn:li:page:d_flagship3_profile_view_base_certifications_details;NdfjdYsAREalZHewflO+TQ==

  5月 2024 - 現在

• Programming Foundations: Object-Oriented Design

  LinkedIn Learning

  https://www.linkedin.com/learning/certificates/b898eec71d71aa7f57f4a59af22c990811f5e4c9863600efbc2796caccb0f408?u=42573940

  4月 2024 - 現在

• Database Design and Basic SQL in PostgreSQL

  University of Michigan

  https://www.coursera.org/account/accomplishments/verify/QWK7GY42MU58

  7月 2023 - 現在

• Advanced Learning Algorithms

  deeplearning.ai

  https://www.coursera.org/account/accomplishments/certificate/TWCKX5LNSRGA

  4月 2023 - 現在

• Supervised Machine Learning: Regression and Classification

  deeplearning.ai

  https://www.coursera.org/account/accomplishments/certificate/JUZ3EDM596C5

  4月 2023 - 現在

• Supervised Machine Learning: Regression and Classification

  deeplearning.ai

  https://www.coursera.org/account/accomplishments/certificate/JUZ3EDM596C5

  4月 2023 - 現在

• PyTorch Essential Training: Deep Learning

  LinkedIn Learning

  https://www.linkedin.com/learning/certificates/84c448812ccf7160aa0743691fd69f4b2a516ee2f4b00bd3f482eb7275db70c8?u=42573940

  9月 2022 - 現在

• Python for Data Science Essential Training

  LinkedIn Learning

  https://www.linkedin.com/learning/certificates/613814ec290c7d0a82c43340586fc8839ec97eb4f84d0047859a01e1dfcccb4e?u=42573940

  8月 2022 - 現在

出版物

JOURNAL ARTICLE

Bapun Giri, Nathaniel Kinsky, Utku Kaya, Kourosh Maboudi, Ted Abel, Kamran Diba (2024). Sleep loss diminishes hippocampal reactivation and replay . Nature.

Kourosh Maboudi, Bapun Giri, Hiroyuki Miyawaki, Caleb Kemere, Kamran Diba (2024). Retuning of hippocampal representations during sleep . Nature.

Attention strengthens across-trial pre-stimulus phase coherence in visual cortex, enhancing stimulus processing <head> <META HTTP-EQUIV="Refresh" CONTENT="0;URL=/servlet/useragent"> </head> . Scientific Reports.

Kourosh Maboudi, Etienne Ackermann, Laurel Watkins de Jong, Brad E Pfeiffer, David Foster, Kamran Diba, Caleb Kemere(2018). Uncovering temporal structure in hippocampal output patterns . eLife. 7. {eLife} Sciences Organisation, Ltd.