SC

Sitikantha Chattopadhyay

Adamas University, Swami Vivekananda University, Brainware University

ORCID iD 0000-0003-3357-2630

About

I am currently working as an Assistant Professor in the Computer Science and Engineering department at Adamas University, Barasat-Barrackpore Road, Jagannathpur, District-24 Parganas (North), Kolkata-700126, West Bengal, and Pursuing Ph.D. (Registration Completed) in Computer Science and Engineering at National Institute of Technology (NIT), Durgapur. I have published over 20 publication in various national and international conferences and journals. My research interest is in hardware trojan detection using machine learning and deep learning techniques. I am the life member of CSI and IE(I).

Employment

  • Adamas University Assistant Professor
    2024 - Present
  • Swami Vivekananda University Assistant Professor
    2024 - 2024
  • Brainware University Assistant Professor
    2018 - 2024
  • Durgapur Institute of Advanced Technology and Management Assistant Professor
    2008 - 2018

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

  • Trustworthiness of Customer Reviews of E-Commerce Portal Using Supervised and Semi-supervised Machine Learning Techniques
    Machine Vision and Augmented Intelligence 2023
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  • A Smart Emergency Exit System Based on IoT for Fire Perils
    2022 2 citations DOI: 10.1007/978-981-16-5207-3_13
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  • A Smart Emergency Exit System Based on IoT for Fire Perils
    Proceedings of International Conference on Advanced Computing Applications 2022
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  • Text Region Identification from Natural Scene Images Using Semi-Supervised MSER Method
    Proceedings of 2nd International Conference on Mathematical Modeling and Computational Science 2022
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  • Trust-Based Efficient Computational Scheme for MANET in Clustering Environment
    Proceedings of 2nd International Conference on Mathematical Modeling and Computational Science 2022
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  • Deep Learning Enhancing Performance Using Support Vector Machine HTM Cortical Learning Algorithm
    Journal of Physics: Conference Series 2021 13 citations DOI: 10.1088/1742-6596/1963/1/012144
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  • A Comparative Study to Classify Cumulonimbus Cloud Using Pre-trained CNN
    Research in Intelligent and Computing in Engineering 2021
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  • Use of Marker-Controlled Watershed Segmentation to Classify Cumulonimbus Cloud with Pre-trained CNN
    Soft Computing: Theories and Applications 2021
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  • A Deep Learning Approach To Implement slab based image steganography algorithm of RGB images
    2018 3rd International Conference on Inventive Computation Technologies (ICICT) 2018 2 citations DOI: 10.1109/ICICT43934.2018.9034299
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