Anand Thyagachandran

About

Anand Thyagachandran is a PhD scholar at the Department of Computer Science and Engineering, IIT Madras, focusing on applying machine learning methods using biomedical data. His work involves biomedical analysis through machine learning and deep learning techniques, with expertise in CT, EEG, and ultrasound data. He has published multiple research papers in the medical domain. Before joining PhD, he served as an assistant professor at VFSTR University. He holds a master's degree from the School of Computer and Information Sciences (SCIS) at the University of Hyderabad, where he worked on the cryptanalysis of GSM communication, and a bachelor's degree from the College of Engineering Perumon, affiliated with Cochin University of Science and Technology (CUSAT) University.

Employment

• Indian Institute of Technology Madras Teaching Assistant
  2019 - 2024
• Vignan's Foundation for Science, Technology & Research Assistant Professor
  2016 - 2018

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• Breast Cancer Segmentation Using UNet and Global Convolutional Networks
  2025 DOI: 10.1007/978-3-031-78201-5_8
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• Breast cancer segmentation using UNet and Global Convolutional Networks
  International Conference on Pattern Recognition (ICPR) 2024
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• EEG Responses for Dhrupad Stimulus: A Case Study
  2024 International Conference on Signal Processing and Communications (SPCOM) 2024 DOI: 10.1109/SPCOM60851.2024.10631650
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• Identification and Severity Assessment of COVID-19 Using Lung CT Scans
  2023 DOI: 10.36227/techrxiv.22181980.v3
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• Identification and Severity Assessment of COVID-19 using Lung CT Scans
  2023 DOI: 10.36227/techrxiv.22181980.v2
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• Ensemble Methods For Enhanced Covid-19 CT Scan Severity Analysis
  2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) 2023 DOI: 10.1109/icasspw59220.2023.10193538
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• Identification and Severity Assessment of COVID-19 using Lung CT Scans
  2023 DOI: 10.36227/techrxiv.22181980.v1
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• Identification and Severity Assessment of COVID-19 Using Lung CT Scans
  IEEE Access 2023 DOI: 10.1109/access.2023.3330238
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• Dual Script E2E Framework for Multilingual and Code-Switching ASR
  Interspeech 2021 2021
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• Seizure detection using time delay neural networks and lstm
  Seizure detection using time delay neural networks and lstm 2020
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