ProfessorsProfessors of Kungliga Tekniska högskolanAravind Ashok Nair

Aravind Ashok Nair

Kungliga Tekniska högskolan

H-index: 9

Europe-Sweden

About Aravind Ashok Nair

Aravind Ashok Nair, With an exceptional h-index of 9 and a recent h-index of 7 (since 2020), a distinguished researcher at Kungliga Tekniska högskolan, specializes in the field of Deep Learning, Source Code Analysis, Graph Machine Learning, Natural Language Processing, Software Testing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Edge-Based Graph Neural Networks for Cell-Graph Modeling and Prediction

A graph neural network framework for mapping histological topology in oral mucosal tissue

funcGNN: A Graph Neural Network Approach to Program Similarity

Aravind Ashok Nair Information

University	Kungliga Tekniska högskolan
Position	___
Citations(all)	343
Citations(since 2020)	271
Cited By	145
hIndex(all)	9
hIndex(since 2020)	7
i10Index(all)	8
i10Index(since 2020)	6
Email	Access Email
University Profile Page	Kungliga Tekniska högskolan
Google Scholar	View Google Scholar Profile

Aravind Ashok Nair Skills & Research Interests

Deep Learning

Source Code Analysis

Graph Machine Learning

Natural Language Processing

Software Testing

Top articles of Aravind Ashok Nair

Title	Journal	Author(s)	Publication Date
Edge-Based Graph Neural Networks for Cell-Graph Modeling and Prediction		Tai Hasegawa Helena Arvidsson Nikolce Tudzarovski Karl Meinke Rachael V Sugars ...	2023/6/8
A graph neural network framework for mapping histological topology in oral mucosal tissue	BMC Bioinformatics	Aravind Nair Helena Arvidsson Jorge Gatica V. Nikolce Tudzarovski Karl Meinke ...	2022/11/25
funcGNN: A Graph Neural Network Approach to Program Similarity		Aravind Nair Avijit Roy Karl Meinke	2020/10/8