Mari Ganesh Kumar

About

Mari Ganesh Kuma is currently a doctoral student in the Department of Computer Science and Engineering at the Indian Institute of Technology Madras. His research focus is on applied machine learning and signal processing to bio-signals. He has worked with Speech, EEG, and Neuronal signals and has published multiple papers. He was awarded the medal for the best outgoing student for his undergraduate degree from the Thiagarajar College of Engineering, Anna University.

Employment

• Indian Institute of Technology Madras Research/Teaching Assistant
  2016 - Present
• Zoho Corporation Member of Technical Staff
  2015 - 2016

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (8)

• Functional parcellation of mouse visual cortex using statistical techniques reveals response-dependent clustering of cortical processing areas
  PLOS Computational Biology 2021 DOI: 10.1371/journal.pcbi.1008548
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• Evidence of Task-Independent Person-Specific Signatures in EEG Using Subspace Techniques
  IEEE Transactions on Information Forensics and Security 2021 DOI: 10.1109/TIFS.2021.3067998
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• Subspace techniques for task-independent EEG person identification
  2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2019 DOI: 10.1109/embc.2019.8857426
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• Spike Estimation From Fluorescence Signals Using High-Resolution Property of Group Delay
  IEEE Transactions on Signal Processing 2019 DOI: 10.1109/TSP.2019.2908913
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• Spoof Detection Using Time-Delay Shallow Neural Network and Feature Switching
  2019 IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2019 - Proceedings 2019 DOI: 10.1109/ASRU46091.2019.9003824
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• Task-Independent EEG based Subject Identification using Auditory Stimulus
  Workshop on Speech, Music and Mind 2018 2018 DOI: 10.21437/smm.2018-6
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• Brain-computer interface using electroencephalogram signatures of eye blinks
  Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2018 DOI: 10.21437/Interspeech.2018-3019
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• GDspike: An accurate spike estimation algorithm from noisy calcium fluorescence signals
  ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 2017 DOI: 10.1109/ICASSP.2017.7952315
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