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ATIN  MUKHERJEE

Assistant Professor

About

atin.mukherjee@bcrec.ac.in

1989-01-26

2015-07-07

Computer Science and Engineering (Artificial Intelligence and Machine Learning)

Haldia, East Medinipur, Pin 721602

As a seasoned professional in the field of technology, I specialize in Embedded System Design, Internet of Things (IoT), FPGA, and Embedded Machine Learning (EML). My expertise lies in blending the robustness of embedded technologies with the innovative potential of Machine Learning algorithms. Over the years, I have dedicated myself to developing intelligent, autonomous systems that are not only efficient but also at the forefront of technological advancement. My passion for integrating cutting-edge ML capabilities into embedded systems has been the driving force behind my successful projects.

I am deeply engaged in the world of technology, with a strong focus on Embedded System Design, FPGA, IoT-based systems, Edge Computing, TinyML, and Embedded Machine Learning. My professional path has been enriched by developing and prototyping cutting-edge embedded solutions. Currently, I'm dedicated to advancing Embedded Machine Learning and creating self-learning algorithms for smart IoT systems. My work involves making these systems more efficient and effective, especially in environments with limited power and resources. I am passionate about bringing advanced computing capabilities directly to smaller devices, making them smarter and faster. This aligns with the growing trend of decentralized computing and reflects my commitment to innovative technology that improves our daily interactions with the digital world. My efforts in these areas have been recognized in various academic publications, showcasing my dedication to enhancing and evolving technology solutions.

Qualifications

Educational Qualifications
  • BTech
  • JIS College of Engineering - 2011
  • MTech
  • Neotia Institute of Technology Management and Science - 2014
  • PhD
  • National Institute of Technology, Durgapur - Pursuing
Teaching and R & D experience
Teaching Research Industry
11 Teaching Experience

With a rich academic tenure spanning over 11 years, I have seamlessly integrated my passion for teaching with extensive research in fields like Embedded Systems, FPGA, IoT, Edge Computing, TinyML, and Embedded Machine Learning. This journey has not only involved imparting knowledge but also pioneering innovative solutions in resource-constrained environments and contributing significantly to scholarly publications. My commitment to academia is deeply intertwined with my research endeavors, reflecting a dedication to both advancing cutting-edge technology and inspiring the next generation of tech professionals.

Computer Organization

Object Oriented Programming JAVA

Programming Language: Python, C

Database Management System

VLSI (Very Large Scale Integration)

FPGA (Field-Programmable Gate Array)

Microcontroller

Digital Signal Processing

Analog and Digital Electronics

I am deeply engaged in the world of technology, with a strong focus on Embedded System Design, FPGA, IoT-based systems, Edge Computing, TinyML, and Embedded Machine Learning. My professional path has been enriched by developing and prototyping cutting-edge embedded solutions. Currently, I'm dedicated to advancing Embedded Machine Learning and creating self-learning algorithms for smart IoT systems. My work involves making these systems more efficient and effective, especially in environments with limited power and resources. I am passionate about bringing advanced computing capabilities directly to smaller devices, making them smarter and faster. This aligns with the growing trend of decentralized computing and reflects my commitment to innovative technology that improves our daily interactions with the digital world. My efforts in these areas have been recognized in various academic publications, showcasing my dedication to enhancing and evolving technology solutions.

Activities

Publications

Journal
Date Title Journal DOI Link
23-05-2025 Enhancing Patient Admission and Readmission: The Role of Digital Bed Tracking Systems in Modern Healthcare Journal of Information Systems Engineering and Management DOI View

Participations

Thesis Supervised

Patent

Patents
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