Subba Reddy OOTA - Admis au titre de docteur

subbareddyoota@gmail.com
subba-reddy.oota@u-bordeaux.fr
Identifiant ORCID 000000025975622X
Identifiant Hal https://hal.archives-ouvertes.fr/search/index/?q=%2A&authIdHal_s=subba-reddy-oota
Compte LinkedIn https://www.linkedin.com/in/subba-reddy-oota-11a91254/?originalSubdomain=in
Compte Researchgate https://www.researchgate.net/profile/Subba_Oota

Projet professionnel :

Enseignement et recherche, enseignement supérieur
Recherche en milieu académique
enseignant-chercheur, enseignant du supérieur
chercheur en milieu académique
Researcher within an academic field
Researcher within a company, R&D in the private sector

Techniques maîtrisées :
Python, Java, C++, Matlab, R

Expérience professionnelle :
En recherche d'emploi depuis le 1 juillet 2023

Doctorat Informatique

Thèse soutenue le 30 avril 2024 - Université de Bordeaux

Ecole doctorale : Mathématiques et Informatique

Sujet : Modèles neurocomputationnels de la compréhension du langage : caractérisation des similarités et des différences entre le traitement cérébral du langage et les modèles de langage

Mots-clés de la thèse : traitement du langage,modèles de langage,encodage cérébral,Neurosciences computationnelles,réseaux de neurones récurrents,transformers,

Direction de thèse : Xavier HINAUT

Co-direction de thèse : Frédéric ALEXANDRE

Unité de recherche : LaBRI - Laboratoire Bordelais de Recherche en Informatique UMR 5800 - Talence
Intitulé de l'équipe : Systèmes et Données

Master - Technology in Computer Science and Information Security

obtenu en juillet 2016 - International Institute of Information Technology, Hyderabad, Inde

Production scientifique

- Subba Reddy Oota, Manish Gupta, Raju S. Bapi, Gael Jobard, Frédéric Alexandre, Xavier Hinaut 2023. Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey) , , https://hal.science/hal-04162064/document
- Subba Reddy Oota, Mounika Marreddy, Manish Gupta, Raju Surampudi Bapi 2023. How does the brain process syntactic structure while listening? , , https://hal.science/hal-04131510/document
- Subba Reddy Oota, Manish Gupta, Mariya Toneva 2023. Joint processing of linguistic properties in brains and language models , , https://inria.hal.science/hal-04400635/document
- Subba Reddy Oota, Nathan Trouvain, Gaël Jobard, Frédéric Alexandre, Xavier Hinaut 2023. MEG Encoding using Neural Language & Speech Models and Shared Context Semantics in Listening Stories , , https://hal.science/hal-04401769/document
- Subba Reddy Oota, Nathan Trouvain, Frederic Alexandre, Xavier Hinaut 2023. MEG Encoding using Word Context Semantics in Listening Stories , , https://hal.science/hal-04148324/document
- Subba Reddy Oota, Emin Celik, Fatma Deniz, Mariya Toneva 2023. Speech language models lack important brain-relevant semantics Arxiv, 23 Pages, https://arxiv.org/abs/2311.04664
- Subba Reddy Oota, Agarwal Veeral, Marreddy Mounika, Gupta Manish, Raju Surampudi Bapi 2023. Speech Taskonomy: Which Speech Tasks are the most Predictive of fMRI Brain Activity? , , https://hal.science/hal-04131475/document
- Subba Reddy Oota, Mariya Toneva 2023. What aspects of NLP models and brain datasets affect brain-NLP alignment? , , https://hal.science/hal-04416456/document
- Subba Reddy Oota, Frédéric Alexandre, Xavier Hinaut 2022. Cross-Situational Learning Towards Robot Grounding , , https://hal.archives-ouvertes.fr/hal-03628290/document
- Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju S. Bapi, Mariya Toneva 2022. Deep Learning for Brain Encoding and Decoding , 44, https://hal.science/hal-03946727/document
- Subba Reddy Oota, Frédéric Alexandre, Xavier Hinaut 2022. How distinct are Syntactic and Semantic Representations in the Brain During Sentence Comprehension? , , https://hal.inria.fr/hal-03942241/document
- Subba Reddy Oota, Frédéric Alexandre, Xavier Hinaut 2022. Investigating Long-Term Context of Language Models on Brain Activity during Narrative Listening in fMRI , , https://hal.inria.fr/hal-03699886/document
- Subba Reddy Oota, Frederic Alexandre, Xavier Hinaut 2022. Long Short-Term Memory of Language Models for Predicting Brain Activation During Listening to Stories , , https://hal.inria.fr/hal-03697443/document
- Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju Surampudi Bapi 2022. Multi-view and Cross-view Brain Decoding , pp.105115, https://hal.science/hal-03946696/document
- Subba Reddy Oota, Jashn Arora, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Bapi S. Raju 2022. Neural Language Taskonomy: Which NLP Task is most Predictive of fMRI Brain Activity? NAACL-22, 3220–3237, https://aclanthology.org/2022.naacl-main.235/
- Subba Reddy Oota, Jashn Arora, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Bapi Surampudi 2022. Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? , pp.3220-3237, https://hal.science/hal-03946624/document
- Subba Reddy Oota, Jashn Arora, Vijay Rowtula, Manish Gupta, Raju S. Bapi 2022. Visio-Linguistic Brain Encoding , pp.116133, https://hal.science/hal-03946675/document
- Subba Reddy Oota, Frédéric Alexandre, and Xavier Hinaut 2021. Learning to Parse Sentences with Cross-Situational Learning using Different Word Embeddings Towards Robot Grounding SpLU-RoboNLP 2021, 8 Pages,
- Subba Reddy Oota, Frédéric Alexandre, Xavier Hinaut 2021. Learning to Parse Sentences with Cross-Situational Learning using Different Word Embeddings Towards Robot Grounding , , https://hal.inria.fr/hal-03533730/document

Informations complémentaires :
Machine Learning, Natural Language Processing.
Langues Vivantes : Français A1 - Débutant - Anglais C2 - Maternel - Hindi C2 - Maternel - Télougou C2 - Maternel

Dernière mise à jour le 22 mars 2024