MADHUCHHANDA BASAK
Techno International New Town, BRAINWARE UNIVERSITY, Techno India University, Moyna Vivekananda Mission Teachers Training College, SAROJ MOHAN INSTITUTE OF TECHNOLOGY, SCHOOL OF INFORMATION TECHNOLOGY
About
Madhuchhanda Basak is an esteemed Assistant Professor with over 18 years of experience specializing in EEG biometric machine learning and deep learning. Her groundbreaking research in the field has significantly advanced the integration of electroencephalography with artificial intelligence, making substantial contributions to both theoretical and applied aspects of biometric identification. Her extensive expertise is reflected in her numerous publications and successful collaborations with industry leaders, underscoring her pivotal role in shaping the future of intelligent biometric systems. Her dedication to advancing the field is matched by her passion for mentoring the next generation of researchers and practitioners.
Employment
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Techno International New Town Assistant Professor2024 - Present
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BRAINWARE UNIVERSITY ASSISTANT PROFESSSSOR2023 - 2024
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SAROJ MOHAN INSTITUTE OF TECHNOLOGY ASSISTANT PROFESSOR2006 - 2023
Education
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Techno India University PHD2022 - 2025
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Moyna Vivekananda Mission Teachers Training College B ED2017 - 2019
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SCHOOL OF INFORMATION TECHNOLOGY M TECH IT2007 - 2010
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Heritage Institute of Technology B TECH IN IT2003 - 2006
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SAROJ MOHAN INSTITUTE OF TECHNOLOGY DIPLOMA IN IT2000 - 2003
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Ushangini Balika Vidyalaya HIGHER SECONDARY1998 - 2000
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St. Anthony’s High School SECONDARY1996 - 1998
Projects & Funding
Projects & funding information is unavailable.
Publications (15)
- EEG-driven pain intensity estimation using feature-level fusion and deep ensemble models Save
- A review on fingerprint based authentication-its challenges and applications Save
- Multimodal biometric integration: Trends and insights from the past quinquennial Save
- Cancellable Biometrics: Trends and Innovations Over the Past Decade Save
- Fingerprint Bio-metric: Confronting Challenges, Embracing Evolu- tion, and Extending Utility - A Review Save
- Deep Learning Method for Multi-Attribute Analysis of Fingerprint Images Save
- EEG Innovations in Neurological Disorder Diagnostics: A Five-Year Review Save
- Emotion Detection from EEG by Gated Recurrent Unit Along with Particle Swarm Optimization Save
- Advancing Fingerprint Template Generation and Matching With Recast Minutiae Clustering and mRBFN Save
- Enhancing Biometrics with Auto Encoder: Accurate Finger Detection from Fingerprint Images Save