プロフィール詳細

プロジェクトを作成

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Dr. Aakash A.に依頼

India

Computational Neuroscientist | AI Researcher (vision) | Science Communication

プロフィール概要

As a Computational Neuroscience researcher, I have - Worked extensively (10+ years) with behavioural and brain imaging (fMRI, MEG, intracranial, etc.) datasets. * Designed Experiments, collected data, preprocessed and developed computational models to predict brain signals (regression, decoding, MVPA, etc.) - Used deep neural network models to solve computer vision tasks and even won the Algonauts Challenge (2019) organized by MIT, USA using novel algorithms. Overall, I can help you with all stages of research such as: - Literature Survey - Experiment design - Data Analysis - Developing interpretable models, algorithms - Generating insights, etc. For more details: https://www.linkedin.com/in/aakashagr/

専門分野

• ★ Visual Neuroscience
• ☆ Biostatistics
• ☆ Neuroscience
• ☆ Neurophysiology
• ☆ Behavioral Neuroscience
• ☆ Computational Neuroscience
• ☆ Cognitive Neuroscience
• ☆ Neuropsychology
• ☆ Systems Neuroscience
• ☆ Electrical Engineering
• ☆ Facial Recognition Technology
• ☆ Data Science
• ☆ Data Analysis
• ☆ Algorithm Design
• ☆ Predictive Modeling & Analytics
• ☆ Data Visualization
• ☆ Data Collection
• ☆ Machine Learning
• ☆ Neural Networks
• ☆ Pattern Recognition
• ☆ Deep Learning
• ☆ Cognitive Science
• ☆ Learning & Memory
• ☆ Visual Perception
• ☆ Cognitive Linguistics
• ☆ Sensory Studies
• ☆ Asian Languages
• ☆ Matlab
• ☆ Excel
• ☆ LaTex
• ☆ Scikit-learn
• ☆ Reverse Engineering
• ☆ Peer Review
• ☆ Research Methodology
• ☆ Survey Design & Methodology
• ☆ User Research
• ☆ Quantitative User Research
• ☆ Meta-Research
• ☆ Technology Scouting
• ☆ Fact Checking
• ☆ Literature Search
• ☆ Gap Analysis
• ☆ Gray Literature Search
• ☆ Technical & Scientific Writing
• ☆ Literature Review
• ☆ Traditional/Narrative Literature Review
• ☆ Systematic Literature Review
• ☆ Proofreading & Editing
• ☆ Grant Writing

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing, Copywriting, Newswriting

Research Market Research, User Research, Meta-Research, Feasibility Study, Fact Checking, Gap Analysis, Gray Literature Search, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Go-to-Market Strategy Consulting, Digital Strategy Consulting, Scientific and Technical Consulting

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

Product Development Formulation, Prototyping

職務経験

PostdoctoralResearcher

CEA, Paris, France

10月 2020 - 現在

学歴

PhD Computational Neuroscience

Indian Institute of Science

8月 2014 - 8月 2019

Bachelor of Engineering (Honours) Electrical and Electronics Engineering

National Institute of Technology Hamirpur

8月 2010 - 5月 2014

認定資格

• Lead Teaching Assistant in Deep Learning and Computational Neuroscience

  Neuromatch Academy

  https://portal.neuromatchacademy.org/certificate/cb58fe4b-a566-4c0e-993c-12023b139048

  6月 2021 - 現在

出版物

PREPRINT

Aakash Agrawal, Stanislas Dehaene (2023). Dissecting the neuronal mechanisms of invariant word recognition .

(2019). Dissimilarity learning via Siamese network predicts brain imaging data.

JOURNAL ARTICLE

Aakash Agrawal, Minye Zhan, Christophe Pallier, Stanislas Dehaene, Laurent Cohen (2023). Does the visual word form area split in bilingual readers? A millimeter-scale 7-T fMRI study . Science Advances.

T. Hannagan, A. Agrawal, L. Cohen, S. Dehaene(2021). Emergence of a compositional neural code for written words: Recycling of a convolutional neural network for reading . Proceedings of the National Academy of Sciences. 118. (46). Proceedings of the National Academy of Sciences

Aakash Agrawal, KVS Hari, SP Arun(2020). A compositional neural code in high-level visual cortex can explain jumbled word reading . eLife. 9. {eLife} Sciences Publications, Ltd

Aakash Agrawal and K. V. S. Hari and S. P. Arun(2019). Reading Increases the Compositionality of Visual Word Representations . Psychological Science. 30. (12). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1707--1723. {SAGE} Publications

OTHER

Aakash Agrawal, Sonali Nag, K.V.S. Hari, S. P. Arun(2021). Visual search for upright bigrams predicts reading fluency in children . Cold Spring Harbor Laboratory

T. Hannagan, A. Agrawal, L. Cohen, S. Dehaene(2021). Simulating the emergence of the Visual Word Form Area: Recycling a convolutional neural network for reading . Cold Spring Harbor Laboratory