Cota Navin Gupta

Employment

• Indian Institue of Technology Guwahati Assistant Professor
  2017 - Present
• Mind Research Network Postdoctoral Fellow
  2012 - 2016

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• On-device single channel EEG classification on Android smartphones using lightweight machine learning models
  Biomedical Physics & Engineering Express 2026 DOI: 10.1088/2057-1976/ae3ca4
  +Save
• Phase-aware LSTM projections for learning from heterogeneous electroencephalogram montages
  Physica Scripta 2025 DOI: 10.1088/1402-4896/ae229d
  +Save
• SAGEFusionNet: An Auxiliary Supervised Graph Neural Network for Brain Age Prediction as a Neurodegenerative Biomarker
  Brain Sciences 2025 DOI: 10.3390/brainsci15070752
  +Save
• Dynamical Embedding of Single-Channel Electroencephalogram for Artifact Subspace Reconstruction
  Sensors 2024 DOI: 10.3390/s24206734
  +Save
• Systematic review of experimental paradigms and deep neural networks for electroencephalography-based cognitive workload detection
  Progress in Biomedical Engineering 2024 DOI: 10.1088/2516-1091/ad8530
  +Save
• Introspection of UBNIN and Modified-UBNIN Algorithms for Structural MRI. Reply to Kelly et al. A Comparison of Brain-State Representations of Binary Neuroimaging Connectivity Data. Comment on “Samantaray et al. Unique Brain Network Identification Number …
  Brain Sciences 2024 DOI: 10.3390/brainsci14050424
  +Save
• Brain connectivity for subtypes of parkinson’s disease using structural MRI
  Biomedical Physics & Engineering Express 2024 DOI: 10.1088/2057-1976/ad1e77
  +Save
• CameraEEG: Synchronous Recording of Electroencephalogram and Video Data for Neuroergonomics Applications
  2023 DOI: 10.3390/engproc2023055046
  +Save
• Unique Brain Network Identification Number for Parkinson’s and Healthy Individuals Using Structural MRI
  Brain Sciences 2023 DOI: 10.3390/brainsci13091297
  +Save
• Multivariate Data-Driven Approach to Identify Reliable Neural Components and Latency in a P300 Dataset Using Correlated Component Analysis
  2023 DOI: 10.1007/978-981-99-0981-0_7
  +Save