ProfessorsProfessors of Tata Institute of Fundamental ResearchSugata Sanyal

Sugata Sanyal

Tata Institute of Fundamental Research

H-index: 36

Asia-India

About Sugata Sanyal

Sugata Sanyal, With an exceptional h-index of 36 and a recent h-index of 16 (since 2020), a distinguished researcher at Tata Institute of Fundamental Research, specializes in the field of Internet of Things & Security Issues, Network Security, Intrusion Detection System, Computer Architecture.

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

Optimizing Fuzzy C Means Clustering Algorithm: Challenges and Applications

Reducing time complexity of fuzzy c means algorithm

A hybrid approach for segmenting grey and white matter from brain magnetic resonance imaging (mri)

A comparative study on different skull stripping techniques from brain magnetic resonance imaging

Classification of brain mri using deep learning techniques

Deep learning techniques for classification of brain MRI

Anomaly Detection in IoT Frameworks Using Machine Learning

Bone cancer detection using machine learning techniques

Sugata Sanyal Information

University	Tata Institute of Fundamental Research
Position	Professor (Retired)
Citations(all)	3852
Citations(since 2020)	1187
Cited By	3106
hIndex(all)	36
hIndex(since 2020)	16
i10Index(all)	66
i10Index(since 2020)	33
Email	Access Email
University Profile Page	Tata Institute of Fundamental Research
Google Scholar	View Google Scholar Profile

Sugata Sanyal Skills & Research Interests

Internet of Things & Security Issues

Network Security

Intrusion Detection System

Computer Architecture

Top articles of Sugata Sanyal

Title	Journal	Author(s)	Publication Date
Optimizing Fuzzy C Means Clustering Algorithm: Challenges and Applications		Amrita Bhattacherjee Sugata Sanyal Ajith Abraham	2022/1/1
Reducing time complexity of fuzzy c means algorithm		Amrita Bhattacherjee Sugata Sanyal Ajith Abraham	2021/12/16
A hybrid approach for segmenting grey and white matter from brain magnetic resonance imaging (mri)		Ruhul Amin Hazarika Khrawnam Kharkongor Arnab Kumar Maji Debdatta Kandar Sugata Sanyal	2021
A comparative study on different skull stripping techniques from brain magnetic resonance imaging		Ruhul Amin Hazarika Khrawnam Kharkongor Sugata Sanyal Arnab Kumar Maji	2020
Classification of brain mri using deep learning techniques		Pallabi Sharma Imayanmosha Wahlang Sugata Sanyal Arnab Kumar Maji	2020
Deep learning techniques for classification of brain MRI	International Journal of Intelligent Systems Technologies and Applications	Imayanmosha Wahlang Pallabi Sharma Sugata Sanyal Goutam Saha Arnab Kumar Maji	2020
Anomaly Detection in IoT Frameworks Using Machine Learning		Phidahunlang Chyne Parag Chatterjee Sugata Sanyal Debdatta Kandar	2020
Bone cancer detection using machine learning techniques		Deepshikha Shrivastava Sugata Sanyal Arnab Kumar Maji Debdatta Kandar	2020/1/1