Tharun Kumar Reddy

About Tharun Kumar Reddy

Tharun Kumar Reddy, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Indian Institute of Technology Kanpur, specializes in the field of BCI, HCI, Artificial Intelligence, Machine Learning, Bio-medical Signal processing.

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

GM-VRC: Semantic Topological Data Ensemble Approach for EEG Signal Classification

Source localization of epileptiform MEG activity towards intelligent smart healthcare: a retrospective study

Riemannian deep feature fusion with autoencoder for MEG depression classification in smart healthcare applications

Delaunay Triangulated Simplicial Complex Generation for EEG Signal Classification

Eeg control of a robotic wheelchair

Entropy based EEG irregularity quantification in Single-Channel SSVEP-based BCIs

Meditative state classification using neuronal multi-imf band power and complexity features

EEG-Based Reaction Time Prediction with Fuzzy Common Spatial Patterns and Phase Cohesion using Deep Autoencoder Based Data Fusion

Tharun Kumar Reddy Information

University

Position

IIT(ISM) Dhanbad

Citations(all)

222

Citations(since 2020)

212

Cited By

63

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Indian Institute of Technology Kanpur

Google Scholar

View Google Scholar Profile

Tharun Kumar Reddy Skills & Research Interests

BCI

HCI

Artificial Intelligence

Machine Learning

Bio-medical Signal processing

Top articles of Tharun Kumar Reddy

Title

Journal

Author(s)

Publication Date

GM-VRC: Semantic Topological Data Ensemble Approach for EEG Signal Classification

Srikireddy Dhanunjay Reddy

Tharun Kumar Reddy

2024/4/14

Source localization of epileptiform MEG activity towards intelligent smart healthcare: a retrospective study

Sanjeev Kumar Varun

Tharun Kumar Reddy

Marios Antonakakis

Michelis Zervakis

2024/1/1

Riemannian deep feature fusion with autoencoder for MEG depression classification in smart healthcare applications

Srikireddy Dhanunjay Reddy

Shubhangi Goyal

Tharun Kumar Reddy

Ramana Vinjamuri

Javier Andreu-Perez

2024/1/1

Delaunay Triangulated Simplicial Complex Generation for EEG Signal Classification

IEEE Sensors Letters

Srikireddy Dhanunjay Reddy

Tharun Kumar Reddy

2024/4/24

Eeg control of a robotic wheelchair

Ashok Kumar Chaudhary

Vinay Gupta

Kumar Gaurav

Tharun Kumar Reddy

Laxmidhar Behera

2023/4/15

Entropy based EEG irregularity quantification in Single-Channel SSVEP-based BCIs

Kumar Gaurav

Srikireddy Dhanunjay Reddy

Tharun Kumar Reddy

2023/11

Meditative state classification using neuronal multi-imf band power and complexity features

Swati Singh

Vinay Gupta

Tharun Kumar Reddy

Laxmidhar Behera

Suvendu Samanta

2023/2/23

EEG-Based Reaction Time Prediction with Fuzzy Common Spatial Patterns and Phase Cohesion using Deep Autoencoder Based Data Fusion

Vivek Singh

Tharun Kumar Reddy

2023/10/10

Automatic Seizure Detection Employing Machine Learning-Based Late Fusion Techniques Over Behind-the-Ear and the Scalp EEG Signals

Sanjeev Kumar Varun

Tharun Kumar Reddy

Sanju Shrestha

2023

A meditation based cognitive therapy (hmbct) for primary insomnia: A treatment feasibility pilot study

Applied Psychophysiology and Biofeedback

Chandan Kumar Behera

Tharun Kumar Reddy

Laxmidhar Behera

Niels Birbaumer

Krishna Ika

2023/9

Process qualification of laser powder bed fusion based on processing-defect structure-fatigue properties in Ti-6Al-4V

Journal of Materials Processing Technology

Sneha P Narra

Anthony D Rollett

Austin Ngo

David Scannapieco

Mahya Shahabi

...

2023/1/1

Riemannian approach based depression classification using transfer learning for meg signals

Srikireddy Dhanunjay Reddy

Shubhangi Goyal

Tharun Kumar Reddy

2023/8/5

Effects of Process-Induced Defects on Fatigue Properties of Laser Powder Bed Fusion Metallic Materials

Tharun Reddy

William Frieden Templeton

Sneha P Narra

2023/6/30

Schizophrenia and Bipolar Psychosis Classification with rsfMRI Functional Connectivity Feature Fusion technique using Super Learner

Srikireddy Dhanunjay Reddy

Kumar Gaurav

Tharun Kumar Reddy

2023/11

A statistical approach to determine data requirements for part porosity characterization in laser powder bed fusion additive manufacturing

Materials Characterization

Mahya Shahabi

Tharun Reddy

Anthony D Rollett

Sneha P Narra

2022/8/1

Performance study of neural structured learning using riemannian features for bci classification

Vinay Gupta

Jayasandhya Meenakshinathan

Tharun Kumar Reddy

Laxmidhar Behera

2022/5/24

Comparative performance analysis of scalp eeg and ear eeg based p300 ambulatory brain-computer interfaces using riemannian geometry and convolutional neural networks

Vartika Gupta

Tushar P Kendre

Tharun Kumar Reddy

Vipul Arora

2022/5/24

Meditation and cognitive enhancement: A machine learning based classification using eeg

Swati Singh

Vinay Gupta

Tharun Kumar Reddy

Braj Bhushan

Laxmidhar Behera

2022/10/9

Driver Drowsiness Detection: An Approach Based on Intelligent Brain–Computer Interfaces

IEEE Systems, Man, and Cybernetics Magazine

Tharun Kumar Reddy

Laxmidhar Behera

2021/1

EEG-based drowsiness detection with fuzzy independent phase-locking value representations using lagrangian-based deep neural networks

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Tharun Kumar Reddy

Vipul Arora

Vinay Gupta

Rupam Biswas

Laxmidhar Behera

2021/10/8

See List of Professors in Tharun Kumar Reddy University(Indian Institute of Technology Kanpur)

Co-Authors

H-index: 169
Niels Birbaumer

Niels Birbaumer

Eberhard Karls Universität Tübingen

H-index: 93
Chin-Teng Lin

Chin-Teng Lin

University of Technology

H-index: 39
Laxmidhar Behera

Laxmidhar Behera

Indian Institute of Technology Kanpur

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