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

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Career Trajectory

Bio

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.

Research Interests

Papers共 145 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

Predicting Stress among Students Via Psychometric Assessments and Machine Learning

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

17TH ACM INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS, PETRA 2024pp.662-669, (2024)

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Prediction of Multitasking Performance Post-Longitudinal Tdcs Via EEG-based Functional Connectivity and Machine Learning Methods

Akash K Rao,Shashank Uttrani,Vishnu K Menon, Darshil Shah,Arnav Bhavsar,Shubhajit Roy Chowdhury,Varun Dutt

PETRA '24 Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environmentspp.633-639, (2024)

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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

17TH ACM INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS, PETRA 2024pp.640-646, (2024)

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EEG classification for visual brain decoding with spatio-temporal and transformer based paradigms

Akanksha Sharma, Jyoti Nigam, Abhishek Rathore,Arnav Bhavsar

CoRR (2024)

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OSRNet: Online Signature Recognition Network Utilising Spatio-Temporal Features Extracted from Signature Video

Anurag Pandey, PushapDeep Singh,Arnav Bhavsar,Aditya Nigam, Divya Acharya

2024 International Joint Conference on Neural Networks (IJCNN)pp.1-8, (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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EEG Classification Based on Visual Stimuli Via Adversarial Learning

Rahul Mishra,Arnav Bhavsar

COGNITIVE NEURODYNAMICSno. 3 (2024): 1135-1151

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