Personal profile
Biography
Kaniska obtained his Bachelor of Technology degree in Instrumentation and Controll Engineering from Maulana Abul Kalam Azad University of Technology (formerly know as West Bengal University of Technology) in 2017. He completed his Master of Technology in Electrical Instrumentation with a focus on biomedical signal and image processing for computational and cognitive neuroscience in 2021. Currently he is pursuing his PhD research in brain computer interfacing (BCI) to understand cognitive behaviors of brain and develop new BCI framework for augmenting neurorehabilitation.
Research Interests
Brain Computer Interfacing, Artificial Intelligence, EEG, MEG, EMG, Machine Learning, Deep Learning, Digital Signal Processing, Digital Image Processing, Brain Connectivity
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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SDG 4 Quality Education
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 10 Reduced Inequalities
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Collaborations and top research areas from the last five years
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Augmenting Neuromuscular Disease Detection Using Optimally Parameterized Weighted Visibility Graph
Bose, R., Samanta, K., Modak, S. & Chatterjee, S., 5 Mar 2021, In: IEEE Journal of Biomedical and Health Informatics. 25, 3, p. 685-692 8 p.Research output: Contribution to journal › Article › peer-review
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Cross Spectrum Aided Deep Feature Extraction Based Neuromuscular Disease Detection Framework
Singha Roy, S., Samanta, K., Modak, S., Chatterjee, S. & Bose, R., 1 Jun 2020, In: IEEE Sensors Letters. 4, 6, 4 p., 6000704.Research output: Contribution to journal › Letter › peer-review
18 Link opens in a new tab Citations (Scopus) -
Cross-Subject Motor Imagery Tasks EEG Signal Classification Employing Multiplex Weighted Visibility Graph and Deep Feature Extraction
Samanta, K., Chatterjee, S. & Bose, R., 8 Jan 2020, In: IEEE Sensors Letters. 4, 1, 4 p., 7000104.Research output: Contribution to journal › Article › peer-review
48 Link opens in a new tab Citations (Scopus) -
Detection of Myopathy and ALS Electromyograms Employing Modified Window Stockwell Transform
Chatterjee, S., Samanta, K., Ray Choudhury, N. & Bose, R., 20 Jun 2019, In: IEEE Sensors Letters. 3, 7, p. 1-4 4 p., 7001204.Research output: Contribution to journal › Article › peer-review
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Motor imagery classification enhancement with concurrent implementation of spatial filtration and modified stockwell transform
Bose, R., Samanta, K., Chatterjee, S., Bhattacharyya, S. & Khasnobish, A., 21 Jun 2019, (Published online) Bioelectronics and Medical Devices: From Materials to Devices - Fabrication, Applications and Reliability. Elsevier, p. 793-817 25 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
7 Link opens in a new tab Citations (Scopus)