Kapil Omprakash Gupta

@stvincentngp.edu.in

Assistant Professor, Computer Engineering
St. Vincent Pallotti College of Engineering and Technology, Nagpur

Kapil Omprakash Gupta


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https://researchid.co/kaps04gupta

EDUCATION

PhD in Computer Science and Engineering

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Science
16

Scopus Publications

138

Scholar Citations

5

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • Analyzing nonlinear dynamical systems and chaos using machine learning in physical and biological systems
    Gendlal Vaidya, Syed Mohd Uzair Iqbal, Mehraj Israr Khan, Kapil Gupta, Anorgul Ashirova, Shweta Goyal
    Journal of Interdisciplinary Mathematics, 2026
    Chaos and nonlinear dynamical systems are important for understanding complicated things that happen in biology and physics. The complexity and sensitivity to starting conditions of these systems make it hard for traditional analysis methods to work with them. In this study used Machine Learning and Deep learning Based method, to successfully look at and predict chaotic and nonlinear behaviours. After data is gathered from real-world and computer-simulated biological and physical systems, it is preprocessed and features are extracted in a way that works best for time-series and spatial datasets.
  • Quantum cryptography assessing the security and practicality of quantum key distribution in modern communication networks
    Abha Kiran Rajpoot, Dharmesh Dhabliya, V. N. Trupti, Tanveer Ahmad Wani, Kapil Gupta, L. Lakshmanan
    Journal of Discrete Mathematical Sciences and Cryptography, 2026
    The increasing number of cyber threats and the approaching development of quantum computing demand a critical review of existing cryptographic approaches. The goal of this work is to evaluate the security and practicality of utilizing Quantum Key Distribution for secure communications. QKD utilizes the laws of quantum mechanics to provide a secure and unbreakable method for exchanging information. Protocols like BB84 are resistant to threatening attacks from both classical and quantum adversaries. The methodology utilizes simulated models and quantum communication toolkits to study critical characteristics such as key generation speed, QBER, latency and scalability. Performance of QKD is compared to that of classical schemes such as RSA-2048, ECC-256 and AES-256. Results reveal that although QKD provides unparalleled theoretical security, its deployment has notable obstacles such as intricate infrastructure, restrictions on distance and elevated latency. Our study reveals that optimizing the interplay between security and practicality in QKD deployment can yield a highly effective safeguard for next-generation communication networks.
  • Enhancing network security protocols with discrete mathematics application methods
    Chetan Kumar Sharma, Deepak Suresh Asudani, Rupali Suraskar, Kapil Gupta, Nidhi Dua, P. Ajitha
    Journal of Discrete Mathematical Sciences and Cryptography, 2026
    Recent network environments are exposed to expanding threats that question the integrity of the conventional cryptographic processes. Conventional systems including RSA and ECC are effective but show the limitation in providing a balance between computational efficiency and robust security, particularly, with regard to changing attack models. This research highlights a missing link in incorporating structured mathematical frameworks, specifically discrete mathematics, for the protocol improvement. To overcome this, a new network security protocol is proposed by integrating the Finite Field Arithmetic with Prime Graph Structures. Finite fields provide secure key generation and encryption via modular operations and prime graphs provide trust-based topology because communication is possible only between co-prime connected nodes. The methodology provides the cryptographic strength with the topological robustness. Experimental evaluation shows that the proposed model delivers the reduced encryption time (15.2 ms), increased key exchange success rate (97.6%) and better attack resistance (96.3%) as against the standard RSA and ECC protocols. Also, the system has less computational overhead and is therefore appropriate for real-time applications.
  • Automatic Helmet Detection from Videos Using Artificial Intelligence Method and Engage with Secured Driving System by Message Alert
    Kavita R. Singh, Roshni S. Khedgaonkar, Pravinkumar M. Sonsare, Kapil Gupta, Sagarkumar S. Badhiye
    Iranian Journal of Science and Technology Transactions of Electrical Engineering, 2026
  • A Survey of Quantum Machine Learning: Understanding the Current Landscape and Future Opportunities
    Kavita R. Singh, Sagarkumar S. Badhiye, Kapil Gupta, Pravinkumar M. Sonsare, Roshni S. Khedgaonkar, Mukesh M. Raghuwanshi
    Operations Research Forum, 2025
  • Integration of blockchain technology with cryptographic solutions for robust healthcare information security
    Kamlesh A. Waghmare, Parikshit Mahalle, Samir N. Ajani, Kapil Gupta, Sagarkumar S. Badhiye, Priti Shende
    Journal of Discrete Mathematical Sciences and Cryptography, 2025
    When blockchain technology is combined with secure solutions, it makes a big difference in the security of healthcare information. This method uses the fact that blockchain is unchangeable and anonymous to make sure that private medical data is safer and more accurate. Cryptography methods like hashing, digital signatures, and encryption are used by this combined system to keep patient information safe and prevent anyone from accessing or changing them without permission. The distributed record technology in blockchain makes all data transfers clear and easy to check. This makes it easier to find people and hold them accountable. Because blockchain is decentralized, there are no single points of failure. This makes data hacks and cyberattacks less likely. Adding smart contracts can also organize and enforce data access policies, making sure that only approved parties can deal with the data in a way that follows the rules that have already been set. When you combine blockchain and cryptographic solutions, you get a strong framework for protecting electronic health records, boosting patient trust, and making it easier to follow government rules. This combination of blockchain and cryptography is set to be very important in protecting patient information against new threats and keeping the privacy, integrity, and availability of important healthcare data as more healthcare organizations move to digital solutions.
  • Person Detection in Smoke and Haze Environment
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Privacy-Preserving Cryptographic Protocols Balancing Data Security and User Privacy in Modern Networks
    Yashika Gaidhani
    Panamerican Mathematical Journal, 2025
    In this age of always-on connection, it is very important to keep data safe while also protecting user privacy. In today's networks, where data travels through many pathways, such as cloud services and IoT devices, cryptographic algorithms are very important for keeping private data safe. But it's still exceptionally difficult to create beyond any doubt that information is secure without putting people's protection at chance. This conversation goes into detail almost privacy-preserving security strategies, looking at their significance, issues, and other ways to solve them. The objective of privacy-preserving cryptographic strategies is to create beyond any doubt that private information is kept secure whereas still permitting secure contact and computation. To keep data secure from individuals who shouldn't have get to to it, these frameworks utilize diverse sorts of cryptography, like encryption, hashing, and secure multi-party computation (SMPC). Information spills and illicit observing are less likely to happen with these methods because they cover up information at diverse steps of exchange and handling. Indeed in spite of the fact that they may well be useful, privacy-preserving cryptographic strategies have a number of issues. Finding a great blend between client security and information security is one of the most issues. Extreme security measures may offer assistance keep information secure, but they frequently include collecting information in ways that are as well intrusive and abuse people's security. On the other hand, putting as well much accentuation on protection might make security weaker, taking off information open to being abused. Finding a cautious adjust between these competing objectives is key to making cryptographic frameworks that work well. A few potential methods that permit secure information taking care of whereas ensuring security are homomorphic encryption, differential protection, and zero-knowledge proofs. Improvements in hardware-accelerated cryptography and distributed computing tools also make it possible to speed up secure processes and make them more scalable.
  • Remote photoplethysmography-based human vital sign prediction using cyclical algorithm
    Kapil Gupta, Ruchika Sinhal, Sagarkumar S. Badhiye
    Journal of Biophotonics, 2024
    This article aims to predict vital signs like heart rate (HR), respiration rate, and arterial oxygen saturation using ambient light video, eliminating chronic distortions through improved frame quality with BER estimation. The study employs the cascade residual CNN‐FPNR technique for preprocessing and SNR enhancement using energy variance maximization. The image cascade network (ICNet) facilitates segmentation, achieving strong segmentation in low‐light ambient videos. Remote photoplethysmography (iPPG) enables noncontact vital sign monitoring, predicting HR and respiratory rate (RR). An innovative noninvasive temperature and cyclical algorithm, incorporating principal component analysis and fast Fourier transform, evaluate patient HR and RR. To address challenges related to involuntary movements, a dynamic time‐warping‐based optimization method is used for precise region selection. The study introduces an intensity variance‐based threshold analysis for arterial oxygen saturation level determination. Ultimately, the support vector machine (SVM) classification technique evaluates the ground truth, showcasing the system's promising potential for remote and accurate vital sign assessment.
  • A Secure Communication System for Free Space Utilizing Quantum Computing Based Multiple Bits Encryption and Decryption
    Nanotechnology Perceptions, 2024
  • Enhancing Military Training Through Augmented and Virtual Reality Systems
    Ayush Deepak Bhange, Sagarkumar S. Badhiye, Rajat Amardeep Kamble, Pradnya Borkar, Kapil Gupta, Aakansha Thakur
    Proceedings 4th International Conference on Technological Advancements in Computational Sciences Ictacs 2024, 2024
  • Choosing a Suitable Consensus Algorithm for Blockchain Applications: A Review of Factors and Challenges
    International Journal of Intelligent Systems and Applications in Engineering, 2024
  • Analysis of COVID-19 data using machine learning algorithm
    Chinnaiah Kotadi, K. Mithun Chakravarthi, Srihari Chintha, Kapil Gupta
    Object Detection by Stereo Vision Images, 2022
  • Color Intensity: A Study of RPPG Algorithm for Heart Rate Estimation
    Ruchika Sinhal, Kavita R. Singh, K. O. Gupta
    2021 International Conference on Computational Performance Evaluation Compe 2021, 2021
  • Gradient self-weighting linear collaborative discriminant regression classification for human cognitive states classification
    K. O. Gupta, P. N. Chatur
    Machine Vision and Applications, 2020
  • Cognitive State Classification using Genetic Algorithm based Linear Collaborative Discriminant Regression
    K. O. Gupta, P. N. Chatur
    Icsccc 2018 1st International Conference on Secure Cyber Computing and Communications, 2018

RECENT SCHOLAR PUBLICATIONS

  • Analyzing nonlinear dynamical systems and chaos using machine learning in physical and biological systems
    AASG Gendlal Vaidya, Syed Mohd Uzair Iqbal, Mehraj Israr Khan, Kapil Gupta
    Journal of Interdisciplinary Mathematics 29 (3), 663-670 , 2026
    2026
  • Automatic Helmet Detection from Videos Using Artificial Intelligence Method and Engage with Secured Driving System by Message Alert
    KR Singh, RS Khedgaonkar, PM Sonsare, K Gupta, SS Badhiye
    Iranian Journal of Science and Technology, Transactions of Electrical … , 2026
    2026
    Citations: 1
  • Quantum cryptography assessing the security and practicality of quantum key distribution in modern communication networks
    LL Abha Kiran Rajpoot, Dharmesh Dhabliya, V. N. Trupti, Tanveer Ahmad Wani ...
    Journal of Discrete Mathematical Sciences and Cryptography 29 (2B), 979-986 , 2025
    2025
  • Enhancing network security protocols with discrete mathematics application methods
    PA Chetan Kumar Sharma, Deepak Suresh Asudani, Rupali Suraskar, Kapil Gupta ...
    Journal of Discrete Mathematical Sciences and Cryptography 29 (2B), 933-941 , 2025
    2025
  • A Survey of Quantum Machine Learning: Understanding the Current Landscape and Future Opportunities
    KR Singh, SS Badhiye, K Gupta, PM Sonsare, RS Khedgaonkar, ...
    Operations Research Forum 6 (4), 170 , 2025
    2025
  • Enhanced AI-Based Image and Video Retrieval System Using CLIP and Hybrid Semantic Indexing
    KG Anuja Bele, Ryan Lawrence, Darshan Butle, Himanshu Hiwanj
    International Conference on AI Driven Engineering & Technology (AIDCon-2025) , 2025
    2025
  • Hotel Booking Analysis :Customer Segmentation and Demand Forecasting
    KG Ashwini Pinjarkar
    International Conference on AI Driven Engineering & Technology (AIDCon-2025) , 2025
    2025
  • AI based Image and Video Retrieval System-A Review
    KG Anuja Bele, Ryan Lawrence, Darshan Butle, Himanshu Hiwanj
    International Journal of Computer Applications 187 (61), 32-35 , 2025
    2025
  • Person Detection in Smoke & Haze Environment
    KG Rahul Borkar, Atharva Bavge, Atharva Men, Om Lohi
    International Conference on Advances in Computing Control and … , 2025
    2025
  • Classification of anomaly detection attacks in IoT devices using machine
    S Keshri, S Wanjari, K Gupta, A Shukla
    Technological Innovations & Applications in Industry 4.0, 274-280 , 2025
    2025
  • Integration of blockchain technology with cryptographic solutions for robust healthcare information security
    KA Waghmare, P Mahalle, SN Ajani, K Gupta
    Journal of Discrete Mathematical Sciences & Cryptography 28 (5A), 1589-1598 , 2025
    2025
    Citations: 1
  • HIGH-RESOLUTION MAGNETIC RESONANCE IMAGE RECONSTRUCTION MODEL FOR EARLY EPILEPSY DETECTION USING HYBRID OPTIMISATION APPROACH
    PKV KOTHAPALLI, SK CHANDRASEKARAN, SS BADHIYE, ...
    INTERNATIONAL JOURNAL 1 (1) , 2025
    2025
  • Classification of anomaly detection attacks in IoT devices
    AS Shilpa Keshri, Sunil Wanjari, Kapil Gupta
    Technological Innovations & Applications in Industry 4.0 , 2025
    2025
  • Privacy-Preserving Cryptographic Protocols Balancing Data Security and User Privacy in Modern Networks
    Y Gaidhani, K Gupta, T Dalal, PN Mahalle, M Gulhane, BS Puranik
    Panamerican Mathematical Journal 35 (2s), 651-666 , 2025
    2025
  • Enhancing military training through augmented and virtual reality systems
    AD Bhange, SS Badhiye, RA Kamble, P Borkar, K Gupta, A Thakur
    2024 4th International Conference on Technological Advancements in … , 2024
    2024
    Citations: 4
  • College Recommendation System
    DKOG Ashish Patle, Gouri Ghushe, Bhushan Meshram, Mandar Bhole
    International Conference on Technological Innovations & Applications in … , 2024
    2024
  • Choosing a suitable consensus algorithm for blockchain applications: a review of factors and challenges
    R Jain, P Borkar, P Deshmukh, S Badhiye, K Nimje, K Gupta
    Int. J. Intell. Syst. Appl. Eng 12 (10s), 333-341 , 2024
    2024
    Citations: 5
  • A Secure Communication System for Free Space Utilizing Quantum Computing Based Multiple Bits Encryption and Decryption
    PS Kavita Singh, Kapil Gupta, Sagarkumar Badhiye, Roshani Khedgaonkar
    Nanotechnology Perceptions 20 (S6), 629 - 636 , 2024
    2024
  • Remote photoplethysmography‐based human vital sign prediction using cyclical algorithm
    K Gupta, R Sinhal, SS Badhiye
    Journal of Biophotonics 17 (1), e202300286 , 2024
    2024
    Citations: 9
  • GATEPASS MANAGEMENT SYSTEM
    R Dhande, V Shirbhate, Y Pingale, V Kathiwale, K Gupta
    International Journal for Research Publication and Seminar 14 (3), 112-115 , 2023
    2023

MOST CITED SCHOLAR PUBLICATIONS

  • ECG signal analysis and classification using data mining and artificial neural networks
    KO Gupta, PN Chatur
    International Journal of Emerging Technology and Advanced Engineering 2 (1 … , 2012
    2012
    Citations: 58
  • Machine translation approaches and design aspects
    RA Sinhal, KO Gupta
    IOSR Journal of Computer Engineering 16 (1), 22-25 , 2014
    2014
    Citations: 19
  • A pure EBMT approach for English to Hindi sentence translation system
    RA Sinhal, KO Gupta
    International Journal of Modern Education and Computer Science 6 (7), 1 , 2014
    2014
    Citations: 15
  • Analysis of COVID‐19 Data Using Machine Learning Algorithm
    C Kotadi, K Mithun Chakravarthi, S Chintha, K Gupta
    Object Detection by Stereo Vision Images, 147-157 , 2022
    2022
    Citations: 11
  • Remote photoplethysmography‐based human vital sign prediction using cyclical algorithm
    K Gupta, R Sinhal, SS Badhiye
    Journal of Biophotonics 17 (1), e202300286 , 2024
    2024
    Citations: 9
  • Choosing a suitable consensus algorithm for blockchain applications: a review of factors and challenges
    R Jain, P Borkar, P Deshmukh, S Badhiye, K Nimje, K Gupta
    Int. J. Intell. Syst. Appl. Eng 12 (10s), 333-341 , 2024
    2024
    Citations: 5
  • Gradient self-weighting linear collaborative discriminant regression classification for human cognitive states classification: KO Gupta, PN Chatur
    KO Gupta, PN Chatur
    Machine Vision and Applications 31 (3), 21 , 2020
    2020
    Citations: 5
  • Enhancing military training through augmented and virtual reality systems
    AD Bhange, SS Badhiye, RA Kamble, P Borkar, K Gupta, A Thakur
    2024 4th International Conference on Technological Advancements in … , 2024
    2024
    Citations: 4
  • Cognitive state classification using genetic algorithm based linear collaborative discriminant regression
    KO Gupta, PN Chatur
    2018 First International Conference on Secure Cyber Computing and … , 2018
    2018
    Citations: 4
  • Color intensity: a study of RPPG algorithm for heart rate estimation
    R Sinhal, KR Singh, KO Gupta
    2021 International Conference on Computational Performance Evaluation (ComPE … , 2021
    2021
    Citations: 3
  • Language Processing for MT: Need, Problems and Approaches
    R Sinhal, K Gupta
    International Journal of Engineering Research and General Science 1 (1) , 2013
    2013
    Citations: 3
  • Automatic Helmet Detection from Videos Using Artificial Intelligence Method and Engage with Secured Driving System by Message Alert
    KR Singh, RS Khedgaonkar, PM Sonsare, K Gupta, SS Badhiye
    Iranian Journal of Science and Technology, Transactions of Electrical … , 2026
    2026
    Citations: 1
  • Integration of blockchain technology with cryptographic solutions for robust healthcare information security
    KA Waghmare, P Mahalle, SN Ajani, K Gupta
    Journal of Discrete Mathematical Sciences & Cryptography 28 (5A), 1589-1598 , 2025
    2025
    Citations: 1
  • Analyzing nonlinear dynamical systems and chaos using machine learning in physical and biological systems
    AASG Gendlal Vaidya, Syed Mohd Uzair Iqbal, Mehraj Israr Khan, Kapil Gupta
    Journal of Interdisciplinary Mathematics 29 (3), 663-670 , 2026
    2026
  • Quantum cryptography assessing the security and practicality of quantum key distribution in modern communication networks
    LL Abha Kiran Rajpoot, Dharmesh Dhabliya, V. N. Trupti, Tanveer Ahmad Wani ...
    Journal of Discrete Mathematical Sciences and Cryptography 29 (2B), 979-986 , 2025
    2025
  • Enhancing network security protocols with discrete mathematics application methods
    PA Chetan Kumar Sharma, Deepak Suresh Asudani, Rupali Suraskar, Kapil Gupta ...
    Journal of Discrete Mathematical Sciences and Cryptography 29 (2B), 933-941 , 2025
    2025
  • A Survey of Quantum Machine Learning: Understanding the Current Landscape and Future Opportunities
    KR Singh, SS Badhiye, K Gupta, PM Sonsare, RS Khedgaonkar, ...
    Operations Research Forum 6 (4), 170 , 2025
    2025
  • Enhanced AI-Based Image and Video Retrieval System Using CLIP and Hybrid Semantic Indexing
    KG Anuja Bele, Ryan Lawrence, Darshan Butle, Himanshu Hiwanj
    International Conference on AI Driven Engineering & Technology (AIDCon-2025) , 2025
    2025
  • Hotel Booking Analysis :Customer Segmentation and Demand Forecasting
    KG Ashwini Pinjarkar
    International Conference on AI Driven Engineering & Technology (AIDCon-2025) , 2025
    2025
  • AI based Image and Video Retrieval System-A Review
    KG Anuja Bele, Ryan Lawrence, Darshan Butle, Himanshu Hiwanj
    International Journal of Computer Applications 187 (61), 32-35 , 2025
    2025