Arnav Bhavsar - School of Computer and Electrical Engineering, Indian Institute of Technology

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个人简介

Arnav Bhavsar received the bachelor’s degree in electronics and communications engineering from the Sardar Patel University, India, in 2004, and the Ph.D. degree from the IIT Madras, Chennai, India, in 2011. He has been a Post-Doctoral Fellow with GE Global Research, Bangalore, India, from 2011 to 2012, and a Post-Doctoral Research Associate with the University of North Carolina, Chapel Hill, USA, from 2012 to 2013. Since 2013, he has been with IIT Mandi, Mandi, India, where he is currently an Assistant Professor with the School of Computing and Electrical Engineering. His research interests include computer vision, medical image analysis, and machine learning.

研究兴趣

论文共 146 篇作者统计合作学者相似作者

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Classification of attention performance post-longitudinal tDCS via functional connectivity and machine learning methods

Akash K Rao,Vishnu K Menon,Arnav Bhavsar,Shubhajit Roy Chowdhury, Ramsingh Negi,Varun Dutt

CoRR (2024): 1-6

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Exploring the Effects of Yoga on Self-Esteem and Emotional Well-Being in Stressed College Students: A Randomized Controlled Trial

Kirti Tripathi, Srishti Swaroop, Ankush Arya, Divyansh Pandey,Arnav Bhavsar,Varun Dutt

International Conference on Pervasive Technologies Related to Assistive Environmentspp.640-646, (2024)

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Evaluating the efficacy of haptic feedback, 360 treadmill-integrated Virtual Reality framework and longitudinal training on decision-making performance in a complex search-and-shoot simulation

Akash K Rao,Arnav Bhavsar,Shubhajit Roy Chowdhury,Sushil Chandra, Ramsingh Negi, Prakash Duraisamy,Varun Dutt

CoRR (2024)

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Attend, Distill, Detect: Attention-aware Entropy Distillation for Anomaly Detection

Sushovan Jena, Vishwas Saini, Ujjwal Shaw, Pavitra Jain, Abhay Singh Raihal,Anoushka Banerjee, Sharad Joshi, Ananth Ganesh,Arnav Bhavsar

CoRR (2024)

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Wavelet Based Feature Extraction for Multi-Model Ensemble Approach for Mental Workload Classification Using EEG

Fiza Parveen,Arnav Bhavsar

International Joint Conference on Biomedical Engineering Systems and Technologiespp.770-777, (2024)

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Unified Anomaly Detection methods on Edge Device using Knowledge Distillation and Quantization

Sushovan Jena, Arya Pulkit, Kajal Singh,Anoushka Banerjee, Sharad Joshi, Ananth Ganesh,Dinesh Singh,Arnav Bhavsar

arxiv（2024）

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Generating Visual Stimuli from EEG Recordings using Transformer-encoder based EEG encoder and GAN

Rahul Mishra,Arnav Bhavsar

CoRR (2024)

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Predicting Stress among Students via Psychometric Assessments and Machine Learning

Sagnik Ghosh, Kirti Tripathi, Ankita Garg, Dinesh Singh, Amit Prasad,Arnav Bhavsar,Varun Dutt

International Conference on Pervasive Technologies Related to Assistive Environmentspp.662-669, (2024)

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Attention based 1D-CNN for Mental Workload Classification using EEG

Fiza Parveen,Arnav Bhavsar

PROCEEDINGS OF THE 16TH ACM INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS, PETRA 2023pp.739-745, (2023)

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TrGANet: Transforming 3T to 7T dMRI using Trapezoidal Rule and Graph based ..

Ranjeet Ranjan Jha,B.V. Rathish Kumar,Sudhir K. Pathak,Arnav Bhavsar,Aditya Nigam

Medical Image Analysis (2023)

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