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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
  • MTech
  • Neotia Institute of Technology Management and Science - 2014
  • BTech
  • JIS College of Engineering - 2011
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

VLSI (Very Large Scale Integration)

FPGA (Field-Programmable Gate Array)

Microcontroller

Digital Signal Processing

Object Oriented Programming

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
Year
Journal DOI/Link/Web Link/UGC Link
2018 A. Mukherjee and D.Choudhury "An Area Efficient 2D Fourier Transform Architecture for FPGA Implementation", IEEE VLSI Circuits & Systems Letters, Volume 4, Issue 3, August 2018, pages 2-8
2014 A. Mukherjee, A.Sinha, and D.Choudhury “A Novel Architecture of Area Efficient FFT Algorithm for FPGA Implementation”, ACM SIGARCH Computer Architecture News, December 2014
Conference
Year
Conference National/International DOI/Link/Web Link/UGC Link
2015 A. Mukherjee, A.Sinha, and D.Choudhury “Area Efficient FPGA Implementation of an FFT Processor By Reusing Butterfly Units" XIII International Conference on Signal and Image Processing (ICSIP), Singapore,2015 International
2011 A. Banarjee, A. Mukherjee and D.Choudhury “VHDL Implementation of Spatial Fourier Processing”, proc. Of International Conf. on Trends in Optics and Photonics (Icon Top), 2011, pp. 531-536 International
2011 A. Banarjee, A. Mukherjee and D.Choudhury “Computation of Fresnel Diffraction by VHDL”, XXXVI OSI SYMPOSIUM, Frontiers in Optics and Photonics, IIT-Delhi, 2011. International
2011 S. Roy, A. Mukherjee, A. Banerjee and P. Saha “Switched capacitor based band pass filters implementation technique for digital signal processor”, proc. Of International Conf. on Convergence of Optics and Electronics (COE), 2011, pp. 161- 168, ISBN 978-81-906401-1-4. International
2011 A. Mukherjee, S. Roy, A. Banerjee, and P. Saha “Design and Implementation of Band Pass Filter using Switched Capacitor Technique for Digital Signal Processor”, Foset (Academic Meet) 2011. National

Participations

Thesis Supervised

Patent

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