Bidhan Barai
SRM University, Andhra Pradesh, Techno Main Salt Lake, Jadavpur University, Swami Vivekananda Institute of Science and Technology
About
As an Assistant Professor specializing in Computer Science & Engineering, I am dedicated to fostering academic excellence, research innovation, and cultivating a dynamic learning environment. In addition to my research endeavors, my teaching philosophy revolves around nurturing the next generation of innovators. Simultaneously, I maintain a keen interest in industry practices and technological advancements, seeking to bridge the gap between academic pursuits and real-world implementation. With a profound interest in cutting-edge technologies, my focus areas include: Machine Learning & Pattern Recognition, Speaker Recognition & Speech Processing, Image Processing & Computer Vision, Statistical Modeling & Data Analysis and Digital VLSI System Design. Additionally, my expertise in Digital VLSI System Design has allowed me to contribute to the creation and optimization of digital circuits and systems using cutting-edge VLSI technology, thereby furthering advancements in computational systems.
Employment
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SRM University, Andhra Pradesh Assistant Professor2025 - Present
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Techno Main Salt Lake Assistant Professor2022 - 2025
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Swami Vivekananda Institute of Science and Technology Assistant Professor2022 - 2022
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Indian Statistical Institute Project Linked Personnel2013 - 2014
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Indian Statistical Institute Project Linked Personnel2012 - 2013
Education
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Jadavpur University PhD2015 - 2022
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Jadavpur University M.Tech2009 - 2011
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Jadavpur University B.E2003 - 2007
Projects & Funding
Projects & funding information is unavailable.
Publications (11)
- Automatic Heartbeat Classification for Arrhythmia Using Deep Learning Based on Electrocardiogram Signals Save
- Leveraging Custom Scalable CNN Framework for Efficient Plant Disease Classification Save
- An Efficient Deep Convolutional Neural Network for Automated Bird Sound Classification Save
- A Chain Code-Based Methodology for Loop Closure Detection in Digital Images Save
- A Hybrid Deep Learning Framework for Text-Independent Automatic Speaker Recognition System Save
- An empirical study on analysis window functions for text-independent speaker recognition Save
- Closed-set speaker identification using VQ and GMM based models Save
- Closed-Set Device-Independent Speaker Identification Using CNN Save
- VQ/GMM-based speaker identification with emphasis on language dependency Save
- An ASR system using MFCC and VQ/GMM with emphasis on environmental dependency Save