Kousik Dasgupta

@kgec.edu.in

Associate Professor, Department of Computer Science and Engineering
Kalyani Government Engineering College, Kalyani, India



              

https://researchid.co/kousikdasgupta

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications

46

Scopus Publications

1607

Scholar Citations

13

Scholar h-index

14

Scholar i10-index

Scopus Publications

  • A Detailed Comparative Study of Regression Models for Stock Price Prediction
    Jaysmito Mukherjee, Kousik Dasgupta, Sourav Banerjee, and Manju Biswas
    Springer Nature Switzerland

  • A hybrid structural feature extraction-based intelligent predictive approach for image registration
    Joydev Hazra, Aditi Roy Chowdhury, Kousik Dasgupta, and Paramartha Dutta
    Springer Science and Business Media LLC

  • Fuzzy rule-based hyperspectral band selection algorithm with ant colony optimization
    Aditi Roy Chowdhury, Joydev Hazra, Kousik Dasgupta, and Paramartha Dutta
    Springer Science and Business Media LLC

  • Nirnayaak: Revolutionizing Legal Research
    Soumyajit Datta, Arya Chakraborty, Saptarshi Bhattacharya, Amit Samui, Anurag Chakraborty, and Kousik Dasgupta
    IEEE
    Nirnayaak is a novel and advanced legal software application, that is meticulously designed to expedite the retrieval of crucial legal information in an Indian Context, addressing the challenges posed by a growing caseload and inaccuracies in the legal system. Employing a groundbreaking architectural framework, it leverages OCR, Smart Text preprocessing, keyword extraction, a sophisticated LLM-based summarization and information retrieval and a feedback-based keyword ranking technique. This amalgamation of techniques enhances the accuracy and accessibility of legal data, enabling legal professionals, scholars, and the public to access pertinent information seamlessly just using natural language queries. We conducted benchmarks on popular keyword extraction techniques, demonstrating that our preprocessing techniques enhance their performance. Additionally, we evaluated LLMs to ascertain their proficiency in understanding contextual nuances.

  • Load Balancing in a Heterogeneous Cloud Environment with a New Cloudlet Scheduling Strategy
    Gopa Mandal, Santanu Dam, Kousik Dasgupta, and Paramartha Dutta
    Springer Nature Switzerland

  • Blockchain-Enabled IoV Framework for Establishing Automated Communication Using Smart Contract
    Rakhi Chakraborty, Kousik Dasgupta, Debashis Das, Sourav Banerjee, and Uttam Ghosh
    Springer Nature Switzerland

  • Preface


  • Preface


  • Classification of Cricket Shots from Cricket Videos Using Self-attention Infused CNN-RNN (SAICNN-RNN)
    Arka Dutta, Abhishek Baral, Sayan Kundu, Sayantan Biswas, Kousik Dasgupta, and Hasanujaman
    Springer Nature Switzerland

  • Blockchain Enabled SDN Framework for Security Management in 5G Applications
    Debashis Das, Sourav Banerjee, Kousik Dasgupta, Pushpita Chatterjee, Uttam Ghosh, and Utpal Biswas
    ACM
    Fifth-generation (5G) wireless networks are now operational to deploy all over the world. The technology of 5G’s objective is to link heterogeneous machines and devices with significant improvements high quality of service (QoS), internet bandwidth, and improved system throughput to enable several upright applications. Despite all these benefits that 5G will provide, still, significant issues need to be resolved, such as decentralization, transparency, and risks associated with data interoperability, network privacy, and security vulnerabilities. Modern networks link an enormous number of devices to the Internet, and in this complicated situation, the use of BC and SDN has been effectively advocated to assure security, privacy, and secrecy. This study offers a blockchain-enabled SDN framework for securing transactions that makes use of Software Defined Network (SDN) and Network Function Virtualization (NFV) to overcome these issues. The proposed framework can address the man-in-the-middle attack between control and data plane in SDN networks. A controller authentication scheme is provided using smart contracts. Smart contracts automatically authenticate the SDN controller to increase the efficiency of controller verification. The communicated data can also be authenticated using smart contracts. The proposed framework can enhance network transparency, data security, and user privacy. Each SDN controller can access verifiable data using the proposed framework.

  • Design of an Explainable AI-Assisted Arrhythmia Detection and Interpretation Model Using ECG Data
    Sourav Banerjee, Jacob Tauro, Kousik Dasgupta, Sudip Barik, and Narayan C. Debnath
    Springer Nature Singapore

  • A Blockchain-based Security Management Framework for Cyber-Physical Systems
    Debashis Das, Sourav Banerjee, Rakhi Chakraborty, Kousik Dasgupta, Pushpita Chatterjee, and Uttam Ghosh
    IEEE
    Cyber-Physical Systems (CPS) are becoming increasingly common in various domains, including industrial control systems, smart cities, and healthcare. However, the security of CPS is a major concern due to its interconnected and heterogeneous nature. In this paper, we propose a Blockchain-based security management framework for CPS to address the security challenges of CPS. The framework leverages the unique features of Blockchain, such as decentralization, immutability, and transparency, to ensure the integrity and confidentiality of data exchanged among devices. We describe the architecture of the proposed framework and explain its key components, including Blockchain nodes, smart contracts, and security policies. Our work contributes to the field of CPS security by providing a novel approach to secure CPS using Blockchain technology. The proposed framework can be applied to various domains, including smart cities, healthcare, and industrial control systems. The framework can also be extended to handle more advanced security scenarios, such as dynamic security policies and real-time threat detection. In this framework, we build a decentralized controller-to-controller (C2C) communication system to make CPS more scalable, secure, private, and reliable. We make a miner-as-a-controller selection algorithm to choose a miner controller for a given session.

  • Estimation of Different Transformation Parameters Based on Optimised Scale Invariant Feature Transform for Image Registration
    Joydev Hazra, Aditi Roy Chowdhury, Kousik Dasgupta, and Paramartha Dutta
    Springer Nature Singapore


  • Performance Evaluation of Machine Learning Classifiers for Sudden Cardiac Arrest Detection
    Prakash Banerjee, Saptak Bhattacherjee, Kousik Dasgupta, and Shibaprasad Sen
    Springer Science and Business Media LLC


  • Sudden Cardiac Arrest Detection Based on Temporal Features of ECG Using Support Vector Machine Classifier
    Prakash Banerjee, Saptak Bhattacherjee, and Kousik Dasgupta
    Springer Nature Singapore

  • Steganography in Color Animated Image Sequence for Secret Data Sharing Using Secure Hash Algorithm
    Ratan Kumar Basak, Ritam Chatterjee, Paramartha Dutta, and Kousik Dasgupta
    Springer Science and Business Media LLC

  • Mood Recognition in Online Sessions using Machine Learning in Realtime
    Arnab Dey and Kousik Dasgupta
    IEEE
    The demand of facial expression based computing is increasing day by day as this can be widely used in various sectors and are in huge demand across the globe. Human being displays their emotions through facial expressions. The aim of this research is to classify human emotions in live environment. We have implemented and trained the model using two powerful machine learning models namely Gradient Boosting (GB) Classifier and K-Nearest Neighbour (KNN) approach for classification of facial expressions with best accuracy possible. We have used combination of various datasets for this study. The efficiency of the model performed much better when we convert the image into grayscale and apply CLAHE equalization technique. We have used a novel approach for recognizing facial expressions with webcam using Gradient Boosting approach. We achieved maximum accuracy of 81% using GB Classifier and 73% utilizing K- Nearest Neighbour algorithm. The training time is faster than deep learning methods and the results prove to be efficient. The model is trained after finding the best hyper parameters. The model can be used to track the mood of the people in real-time especially during pandemic situation.

  • An Ant-Colony-Based Meta- Heuristic Approach for Load Balancing in Cloud Computing
    Santanu Dam, Gopa Mandal, Kousik Dasgupta, and Parmartha Dutta
    IGI Global
    This book chapter proposes use of Ant Colony Optimization (ACO), a novel computational intelligence technique for balancing loads of virtual machine in cloud computing. Computational intelligence(CI), includes study of designing bio-inspired artificial agents for finding out probable optimal solution. So the central goal of CI can be said as, basic understanding of the principal, which helps to mimic intelligent behavior from the nature for artifact systems. Basic strands of ACO is to design an intelligent multi-agent systems imputed by the collective behavior of ants. From the perspective of operation research, it's a meta-heuristic. Cloud computing is a one of the emerging technology. It's enables applications to run on virtualized resources over the distributed environment. Despite these still some problems need to be take care, which includes load balancing. The proposed algorithm tries to balance loads and optimize the response time by distributing dynamic workload in to the entire system evenly.

  • A Novel Equilibrium Optimization Technique for Band Selection of Hyperspectral Images
    Aditi Roy Chowdhury, Joydev Hazra, Kousik Dasgupta, and Paramartha Dutta
    Springer International Publishing

  • Digital ID generation and management framework using blockchain
    Suchira Banerjee and Kousik Dasgupta
    Springer Singapore

  • Special issue on software solutions for contemporary applications
    Jyotsna K. Mandal, Somnath Mukhopadhyay, Paramartha Dutta, and Kousik Dasgupta
    Springer Science and Business Media LLC

  • Editorial preface


  • A linear regression-based resource utilization prediction policy for live migration in cloud computing
    Gopa Mandal, Santanu Dam, Kousik Dasgupta, and Paramartha Dutta
    Springer Singapore

RECENT SCHOLAR PUBLICATIONS

  • A hybrid structural feature extraction-based intelligent predictive approach for image registration
    J Hazra, AR Chowdhury, K Dasgupta, P Dutta
    Innovations in Systems and Software Engineering 20 (4), 643-651 2024

  • Nirnayaak: Revolutionizing Legal Research
    S Datta, A Chakraborty, S Bhattacharya, A Samui, A Chakraborty, ...
    2024 4th International Conference on Computer, Communication, Control 2024

  • Fuzzy rule-based hyperspectral band selection algorithm with ant colony optimization
    AR Chowdhury, J Hazra, K Dasgupta, P Dutta
    Innovations in Systems and Software Engineering 20 (2), 161-174 2024

  • A Detailed Comparative Study of Regression Models for Stock Price Prediction
    J Mukherjee, K Dasgupta, S Banerjee, M Biswas
    International Conference on Computational Intelligence in Communications and 2024

  • Efficient Partitioning of a Multi-dimensional Axis-Aligned Space into Uniform Non-overlapping Sub-spaces for Diverse Applications
    J Mukherjee, K Dasgupta, S Banerjee, M Biswas
    Doctoral Symposium on Intelligence Enabled Research, 181-194 2023

  • Design of an Explainable AI-Assisted Arrhythmia Detection and Interpretation Model Using ECG Data
    S Banerjee, J Tauro, K Dasgupta, S Barik, NC Debnath
    International Conference on Business Intelligence and Information Technology 2023

  • Computational Intelligence in Communications and Business Analytics: 5th International Conference, CICBA 2023, Kalyani, India, January 27–28, 2023, Revised Selected Papers, Part II
    K Dasgupta, S Mukhopadhyay, JK Mandal, P Dutta
    Springer Nature 2023

  • A Blockchain-based Security Management Framework for Cyber-Physical Systems
    D Das, S Banerjee, R Chakraborty, K Dasgupta, P Chatterjee, U Ghosh
    2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet 2023

  • Estimation of Different Transformation Parameters Based on Optimised Scale Invariant Feature Transform for Image Registration
    J Hazra, AR Chowdhury, K Dasgupta, P Dutta
    Frontiers of ICT in Healthcare: Proceedings of EAIT 2022, 647-654 2023

  • Load Balancing in a Heterogeneous Cloud Environment with a New Cloudlet Scheduling Strategy
    G Mandal, S Dam, K Dasgupta, P Dutta
    International Conference on Computational Intelligence in Communications and 2023

  • Blockchain-Enabled IoV Framework for Establishing Automated Communication Using Smart Contract
    R Chakraborty, K Dasgupta, D Das, S Banerjee, U Ghosh
    International Conference on Computational Intelligence in Communications and 2023

  • Classification of Cricket Shots from Cricket Videos Using Self-attention Infused CNN-RNN (SAICNN-RNN)
    A Dutta, A Baral, S Kundu, S Biswas, K Dasgupta, Hasanujaman
    International Conference on Computational Intelligence in Communications and 2023

  • Blockchain enabled sdn framework for security management in 5g applications
    D Das, S Banerjee, K Dasgupta, P Chatterjee, U Ghosh, U Biswas
    Proceedings of the 24th International Conference on Distributed Computing 2023

  • A secure blockchain-enabled vehicle identity management framework for intelligent transportation systems
    D Das, K Dasgupta, U Biswas
    Computers and Electrical Engineering 105, 108535 2023

  • Performance Evaluation of Machine Learning Classifiers for Sudden Cardiac Arrest Detection
    P Banerjee, S Bhattacherjee, K Dasgupta, S Sen
    Journal of The Institution of Engineers (India): Series B, 1-7 2022

  • A Non-Sequential Approach for Steganography using Perfect Square Quotient Differencing (NSPSQD)
    RK Basak, R Chatterjee, D Das, K Dasgupta, P Dutta
     2022

  • Emotion recognition using deep learning in pandemic with real-time email alert
    A Dey, K Dasgupta
    Proceedings of Third International Conference on Communication, Computing 2022

  • Sudden Cardiac Arrest Detection Based on Temporal Features of ECG Using Support Vector Machine Classifier
    P Banerjee, S Bhattacherjee, K Dasgupta
    Proceedings of International Conference on Industrial Instrumentation and 2022

  • Robust optimized structural feature-based transformation parameter estimation for image registration
    J Hazra, AR Chowdhury, K Dasgupta, P Dutta
    Proceedings of International Conference on Advanced Computing Applications 2022

  • Steganography in Color Animated Image Sequence for Secret Data Sharing Using Secure Hash Algorithm
    RK Basak, R Chatterjee, P Dutta, K Dasgupta
    Wireless Pers Commun (2021) 2021

MOST CITED SCHOLAR PUBLICATIONS

  • A genetic algorithm (ga) based load balancing strategy for cloud computing
    K Dasgupta, B Mandal, P Dutta, JK Mandal, S Dam
    Procedia Technology 10, 340-347 2013
    Citations: 489

  • Load balancing in cloud computing using stochastic hill climbing-a soft computing approach
    B Mondal, K Dasgupta, P Dutta
    Procedia Technology 4, 783-789 2012
    Citations: 312

  • Hash based least significant bit technique for video steganography (HLSB)
    K Dasgupta, JK Mandal, P Dutta
    International Journal of Security, Privacy and Trust Management (IJSPTM) 1 2012
    Citations: 134

  • Genetic algorithm and gravitational emulation based hybrid load balancing strategy in cloud computing
    S Dam, G Mandal, K Dasgupta, P Dutta
    Proceedings of Third International Conference on Computer, Communication 2015
    Citations: 100

  • Optimized video steganography using genetic algorithm (GA)
    K Dasgupta, JK Mondal, P Dutta
    Procedia Technology 10, 131-137 2013
    Citations: 97

  • A novel secure image steganography method based on Chaos theory in spatial domain
    D Bandyopadhyay, K Dasgupta, JK Mandal, P Dutta
    International Journal of Security, Privacy and Trust Management (IJSPTM) 3 2014
    Citations: 85

  • An ant colony based load balancing strategy in cloud computing
    S Dam, G Mandal, K Dasgupta, P Dutta
    Advanced Computing, Networking and Informatics-Volume 2, 403-413 2014
    Citations: 81

  • An ant-colony-based meta-heuristic approach for load balancing in cloud computing
    S Dam, G Mandal, K Dasgupta, P Dutta
    Applied Computational Intelligence and Soft Computing in Engineering, 204-232 2018
    Citations: 41

  • Blockchain enabled sdn framework for security management in 5g applications
    D Das, S Banerjee, K Dasgupta, P Chatterjee, U Ghosh, U Biswas
    Proceedings of the 24th International Conference on Distributed Computing 2023
    Citations: 39

  • A secure blockchain-enabled vehicle identity management framework for intelligent transportation systems
    D Das, K Dasgupta, U Biswas
    Computers and Electrical Engineering 105, 108535 2023
    Citations: 31

  • Design of a novel Prediction Engine for predicting suitable salary for a job
    S Dutta, A Halder, K Dasgupta
    2018 Fourth International Conference on Research in Computational 2018
    Citations: 27

  • a (2, n) visual cryptographic technique for banking applications
    JK Pal, JK Mandal, K Dasgupta
    International Journal of Network Security & Its Applications (IJNSA) 2 (4 2010
    Citations: 24

  • Color Object Extraction From A Noisy Background Using Parallel Multi-layer Self-Organizing Neural Networks
    SBK Dasgupta
    Proceedings Of CSI-YITPA(E) 2003, 32-36 2003
    Citations: n From A Noisy Background Using Parallel Multi-layer Self-Organizing Neural Networks

  • Color object extraction from a noisy background using parallel multilayer self-organizing neural networks
    S Bhattacharyya, K Dasgupta
    Proceedings of CSI-YITPA (E) 2003, 32-36 2003
    Citations: 14

  • A Linear Regression-Based Resource Utilization Prediction Policy for Live Migration in Cloud Computing
    G Mandal, S Dam, K Dasgupta, P Dutta
    Algorithms in Machine Learning Paradigms, 109-128 2020
    Citations: 11

  • Algorithms in Machine Learning Paradigms
    JK Mandal, S Mukhopadhyay, P Dutta, K Dasgupta
    Springer 2020
    Citations: 9

  • Steganography in grey scale animated GIF using hash based pixel value differencing
    RK Basak, K Dasgupta, P Dutta
    2018 Fourth International Conference on Research in Computational 2018
    Citations: 9

  • Steganography in Color Animated Image Sequence for Secret Data Sharing Using Secure Hash Algorithm
    RK Basak, R Chatterjee, P Dutta, K Dasgupta
    Wireless Pers Commun (2021) 2021
    Citations: 8

  • A Framework of Secured and Bio-Inspired Image Steganography Using Chaotic Encryption with Genetic Algorithm Optimization (CEGAO)
    D Bandyopadhyay, K Dasgupta, JK Mandal, P Dutta, VK Ojha, V Snšel
    Proceedings of the Fifth International Conference on Innovations in Bio 2014
    Citations: 8

  • Mood Recognition in Online Sessions using Machine Learning in Realtime
    A Dey, K Dasgupta
    2021 5th International Conference on Computer, Communication and Signal 2021
    Citations: 7