Roozbeh Farhoodi, PhD

Title(s)Postdoctoral Scholar, Neurology
SchoolSchool of Medicine
Address35 Medical Center Way
San Francisco CA 94143
ORCID ORCID Icon0000-0003-3374-4041 Additional info
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    University of Pennsylvania, PhiladelphiaPostdoc10/2021Neuroscience
    Sharif University of Technology, TehranPh.D.06/2019Applied Mathematics
    Sharif University of Technology, TehranM.Sc.06/2011Mathematics
    Sharif University of Technology, TehranB.Sc.06/2008Mathematics

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    Roozbeh is a postdoctoral scholar at the Abbasi Lab working at the intersection of computational neuroscience and machine learning. His project is focused on understanding the relationships between neural structure and neural activities in the primary visual cortex. Before joining UCSF, he was a postdoc at the University of Pennsylvania under the supervision of Konrad Kording where he studied the theory of deep learning and how the morphologies of neurons contribute to the computation in the brain. Roozbeh received his Ph.D. in Mathematics from Sharif University in 2017 where he worked on the emergent patterns in neural networks.
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    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help. to make corrections and additions.
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    Altmetrics Details PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
    1. Predicting Feeding Conditions of Premature InfantsThrough Non-Nutritive Sucking Skills Using a Sensitized Pacifier. IEEE Trans Biomed Eng. 2022 Jan 19; PP. Akhbarzadeh S, Lyu T, Farhoodi R, Awais M, Farooq Abbasi S, Zhao X, Chen C, Amara A, Akay YM, Akay M, Chen W. PMID: 35044910.
      View in: PubMed   Mentions:
    2. On PDE Characterization of Smooth Hierarchical Functions Computed by Neural Networks. Neural Comput. 2021 11 12; 33(12):3204-3263. Filom K, Farhoodi R, Kording KP. PMID: 34710899.
      View in: PubMed   Mentions:
    3. On PDE Characterization of Smooth Hierarchical Functions Computed by Neural Networks. Neural Computation. 2021.
    4. Evaluation of Apgar Scores and Non-Nutritive Sucking Skills in Infants Using a Novel Sensitized Non-Nutritive Sucking System. IEEE Engineering in Medicine & Biology Society. 2020.
    5. Evaluation of Apgar Scores and Non-Nutritive Sucking Skills in Infants Using a Novel Sensitized Non-Nutritive Sucking System. Annu Int Conf IEEE Eng Med Biol Soc. 2020 07; 2020:4282-4285. Akbarzadeh S, Farhoodi R, Lyu T, Awais M, Zhao X, Abbasi SF, Chen W. PMID: 33018942.
      View in: PubMed   Mentions: Translation:Humans
    6. Quantifying how staining methods bias measurements of neuron morphologies. Frontiers in neuroinformatics. 2019.
    7. On Functions Computed on Trees. Neural Computation. 2019.
    8. On Functions Computed on Trees. Neural Comput. 2019 11; 31(11):2075-2137. Farhoodi R, Filom K, Jones IS, Kording KP. PMID: 31525312.
      View in: PubMed   Mentions:    Fields:    
    9. Quantifying How Staining Methods Bias Measurements of Neuron Morphologies. Front Neuroinform. 2019; 13:36. Farhoodi R, Lansdell BJ, Kording KP. PMID: 31191283; PMCID: PMC6541099.
      View in: PubMed   Mentions: 3  
    10. The roles of supervised machine learning in systems neuroscience. Prog Neurobiol. 2019 04; 175:126-137. Glaser JI, Benjamin AS, Farhoodi R, Kording KP. PMID: 30738835; PMCID: PMC8454059.
      View in: PubMed   Mentions: 9     Fields:    Translation:HumansAnimals
    11. The roles of supervised machine learning in systems neuroscience, Progress in neurobiology. 2019. Joshua I Glaser, Ari S Benjamin, Roozbeh Farhoodi, Konrad P Kording.
    12. Sampling neuron morphologies. bioRxiv: Cold Spring Harbor Labs Journals. 2018.
    13. The roles of machine learning in biomedical science. National Academies Press. 2018.
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