Dr. Hirdesh Sharma

@gnindia.dronacharya.info

Associate Professor, CSIT Department
Dronacharya Group of Institutions

Dr. Hirdesh Sharma


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https://researchid.co/hirdeshsharma

EDUCATION

• Ph.D. (CSE) from Jagannath University, Badhurgarh, Haryana in July 2024 on Topic: Design and Analysis of a Multi-level Algorithmic Technique for Encryption and Decryption. Shodhganga URL:
• Master of Technology (M.Tech) in Computer Science (CS), (2009 to 2011) from MBU, Solan, H.P. with 71% marks.
• Master Of Computer Application (MCA) (2006 to 2009) from Vishveshwarya Institute of Engineering and Technology, Ghaziabad affiliated to Uttar Pradesh Technical University, Lucknow with 71% of marks.

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Computer Engineering, Artificial Intelligence, Computer Networks and Communications
25

Scopus Publications

63

Scholar Citations

5

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Blood-bank management system using block chain mechanism
    Bipin Pandey, Rajat Kumar, Hirdesh Sharma, Devesh Kumar, Aditya Gupta, Lakshay Lakshay
    Aip Conference Proceedings, 2025
  • Cyclotech: Deep learning-based cyclone intensity estimation
    Hirdesh Sharma, Rajat Kumar, Bipin Pandey, Somansh Barwal, Yash Bhandari, Deep N. Rawal
    Aip Conference Proceedings, 2025
  • Script recognition of printed manuscript images using DCT and PCA at the text-line level
    Rajat Kumar, Bipin Pandey, Hirdesh Sharma, Shruti Mishra, Niharika Chaudhary, Shashank Yadav, Ishaan Gambhir
    Aip Conference Proceedings, 2025
  • Modulation of Autonomic and Psychological Responses in Stress and Recovery: A virtual Reality based Study
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • GANs: Generative Adversarial Networks
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Technical and Economic Analysis of India’s Mobile Cloud Computing (MCC) Systems
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Utilizing Regression Techniques to Predict Anxiety and Depression
    Suvidha Agarwal, Sachin Kumar, Anubhi Bansal, Hirdesh Sharma, Preeta Rajiv Sivaraman, Mayank Parashar
    2025 International Conference on Intelligent and Secure Engineering Solutions Cises 2025, 2025
    Mental health disorders like anxiety and sadness affect a sizable section of the world's population. By facilitating prompt treatment, early detection of these illnesses may lessen their detrimental effects on people's health. In light of several risk factors, including demographic data, lifestyle choices, past medical history, and psychological evaluations, this study investigates the application of regression techniques to forecast anxiety and depression levels. Using both quantitative and qualitative data, regression models such as polynomial, Ridge, Lasso, and linear regression were used to determine the degree of anxiety and depression. This study used information about the participants' age, gender, sleep habits, physical activity, social interactions, and past mental health history that was collected from clinical records and mental health questionnaires. Preprocessing methods like normalization, feature selection, and missing variable correction were used to improve model performance.
  • Hybrid DNA Differential Methylation Machine Learning Technique for Prediction of Mammary Carcinoma
    Hirdesh Sharma, Ram Gopal Sharma, Sandeep Mishra, Prashant Kumar, Mayank Parashar, Devanshu Dube
    Icdt 2025 3rd International Conference on Disruptive Technologies, 2025
    In many parts of the world, breast cancer is the main reason why women pass away. Until the condition has gotten too bad for appropriate therapy, the disease is frequently misdiagnosed. Consequently, minimizing mortality and other associated hazards would be aided by early disease detection. It is tricky to recognize and understand microarray gene expression data, making it difficult to assess and choose the most pertinent group of genes to use as breast cancer indicators. Here, we use a dataset and a variety of machine learning methods, like Random Forest Classification, Naive Bayes, Support Vector Machine, Logistic Regression, and Logistic Regression, to create predictions about their future growth. The Breast Cancer Wisconsin Evaluation dataset and Matlab 2018 were used in our study to create a hybrid machine-learning model for quick breast cancer prediction. In comparison to other machine-learning techniques, the highly effective Gradient Boosting classifier has a success rate of 99.78%. The diagnosis, analysis, and prediction of breast cancer could all be revolutionized by this novel method of prediction.
  • Disruptive Innovations Using Tech-Business Analytics in Primary Industry Sector
    Sachin Kumar, Devanshu Dube, Ruchi Agarwal, Preeta Rajiv Sivaraman, Rupesh Kumar Mishra, Hirdesh Sharma
    Proceedings of the 2025 12th International Conference on Computing for Sustainable Global Development Indiacom 2025, 2025
    Through the use of advanced data analytics technologies, the tech business analytics (TBA) driven disruptive technologies can revolutionize industries by promoting their corporate growth, and efficient production. TBA targets to manage long term issues, enable innovative opportunities, and facilitate organizations to make decisions efficiently in an evolving corporate environment. TBA is a strategic method that integrates sophisticated analytics and technology to disruptive innovations to uncover, develop, and implement innovative ideas that can disrupt existing business models, open up new markets, and accelerate growth. It includes activities including identifying industry pain points, collecting and analyzing data, creating new business models, prototyping, scaling, and ongoing monitoring and adaptation in order to foster innovation and competitive advantage. Companies may utilize advanced analytics and data-driven insights to transform markets, make better decisions, and become more competitive, according to research on disruptive innovations using TBA. When disruptive ideas utilizing TBA are developed and applied to transform sectors and open up new business opportunities, they become unique. Using data-driven insights and advanced analytics in novel and disruptive ways to upend established conventions and business models requires creative thinking. In TBA, originality is about extending the limits of data and technology to boost competitiveness and propel business expansion.
  • A Lag for Optimized Columnar Repositioning Methodology for Data Security
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Internet of Things: Vision, Applications and Challenges
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Crop Recommendation System using Machine Learning and IoT
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Regression-based Smart Agriculture Prediction
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Advancements in Hand Gesture and Sign Language Recognition Using BiLSTM- SoftMax and Deep-Learning
    Aaryan Saraswat, Kishan Jaiswal, Ravi Prakash Chaturvedi, Annu Mishra, Hirdesh Sharma
    2024 International Conference on Control Computing Communication and Materials Iccccm 2024, 2024
  • Crop Recommendation System using Machine Learning
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Heart Checkmate: An Integrated Platform for Predictive Heart Health Management
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Cryptocurrency Price Prediction using Optimised LSTM with GRU (Gated Recurrent Unit)
    Poorva Nayyar, Kunal Bhardwaj, Saiyam Gupta, Ravi Prakash Chaturvedi, Annu Mishra, Hirdesh Sharma
    2024 International Conference on Control Computing Communication and Materials Iccccm 2024, 2024
  • Brain Tumor Detection using Optimized Stochastic Gradient Descent Function
    Annu Mishra, Ravi Prakash Chaturvedi, Hirdesh Sharma, Prashant Kumar, Sameer Asthana, Mayank Parashar
    2024 International Conference on Electrical Electronics and Computing Technologies Iceect 2024, 2024
  • Document Classification and Data Extraction
    Madhav Khurana, Ravi Prakash Chaturvedi, Annu Mishra, Devika Gupta, Ishika Negi, Ambuj Mishra, Hirdesh Sharma
    2024 IEEE 3rd World Conference on Applied Intelligence and Computing Aic 2024, 2024
  • Machine Learning Based Brain Tumor Detection and Classification Using MRI Scans with Convolutional Neural Networks
    Arpit Aggarwal, Mohd Hashim Saifi, Rishabh Kala, Ujjwal Yadav, Annu Mishra, Ravi Prakash Chaturvedi, Hirdesh Sharma
    2024 International Conference on Control Computing Communication and Materials Iccccm 2024, 2024
  • Soil Analysis and Crop Prediction
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Encryption-Decryption Approach to Cryptographic Security Concerns of Cloud Computing
    14th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2023, 2023
  • Multi-Scale Optimized Feature Network for Polyp Segmentation
    Annu Mishra, Ravi Prakash Chaturvedi, Hirdesh Sharma, Ritu Sharma, Sameer Asthana
    Proceedings 4th IEEE 2023 International Conference on Computing Communication and Intelligent Systems Icccis 2023, 2023
  • Literature Survey for Design and Analysis of a MultiLevel Algorithmic Technique for Encryption and Decryption
    13th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2022, 2022
  • Prediction of sugar production using multivariate linear regression
    12th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2021, 2021

RECENT SCHOLAR PUBLICATIONS

  • Energy-Aware Clustered Federated Learning for Underwater Sensor Networks in Naval Surveillance
    S Tyagi, KR Krishna, H Sharma, H Gupta, A Tyagi, H Sharma, MK Yadav
    Informatica 50 (1) , 2026
    2026
  • Blood-bank management system using block chain mechanism
    B Pandey, R Kumar, H Sharma, D Kumar, A Gupta, L Lakshay
    AIP Conference Proceedings 3297 (1), 050004 , 2025
    2025
  • Script recognition of printed manuscript images using DCT and PCA at the text-line level
    R Kumar, B Pandey, H Sharma, S Mishra, N Chaudhary, S Yadav, ...
    AIP Conference Proceedings 3297 (1), 080001 , 2025
    2025
  • Cyclotech: Deep learning-based cyclone intensity estimation
    H Sharma, R Kumar, B Pandey, S Barwal, Y Bhandari, DN Rawal
    AIP Conference Proceedings 3297 (1), 050001 , 2025
    2025
  • Utilizing Regression Techniques to Predict Anxiety and Depression
    S Agarwal, S Kumar, A Bansal, H Sharma, PR Sivaraman, M Parashar
    2025 International Conference on Intelligent and Secure Engineering … , 2025
    2025
  • Disruptive Innovations using Tech-Business Analytics in the Quaternary Industry Sector
    S Kumar, H Sharma, PS Aithal
    Poornaprajna International Journal of Emerging Technologies (PIJET) 2 (2), 21-44 , 2025
    2025
    Citations: 1
  • Disruptive Innovations Using Tech-Business Analytics in Primary Industry Sector
    S Kumar, D Dube, R Agarwal, PR Sivaraman, RK Mishra, H Sharma
    2025 12th International Conference on Computing for Sustainable Global … , 2025
    2025
    Citations: 3
  • Hybrid DNA Differential Methylation Machine Learning Technique for Prediction of Mammary Carcinoma
    H Sharma, RG Sharma, S Mishra, P Kumar, M Parashar, D Dube
    2025 3rd International Conference on Disruptive Technologies (ICDT), 767-771 , 2025
    2025
    Citations: 1
  • Modulation of Autonomic and Psychological Responses in Stress and Recovery: A virtual Reality based Study.
    A Sharma, N Varshney, A Yadav, H Sharma
    Grenze International Journal of Engineering & Technology (GIJET) 11 , 2025
    2025
  • A Lag for Optimized Columnar Repositioning Methodology for Data Security.
    H Sharma, B Pandey, R Kumar, S Mishra, MK Bhardwaj, S Pant
    Grenze International Journal of Engineering & Technology (GIJET) 11 , 2025
    2025
  • Modulation of Autonomic and Psychological Responses in Stress and Recovery: A virtual Reality based Study
    HS Akshat Sharma, Naina Varshney, Anubhav Yadav
    Grenze International Journal of Engineering and Technology 11 (1), 3786-3792 , 2025
    2025
  • Brain tumor detection using optimized stochastic gradient descent function
    A Mishra, RP Chaturvedi, H Sharma, P Kumar, S Asthana, M Parashar
    2024 International Conference on Electrical Electronics and Computing … , 2024
    2024
    Citations: 8
  • Cryptocurrency Price Prediction using Optimised LSTM with GRU (Gated Recurrent Unit)
    P Nayyar, K Bhardwaj, S Gupta, RP Chaturvedi, A Mishra, H Sharma
    2024 International Conference on Control, Computing, Communication and … , 2024
    2024
    Citations: 2
  • Machine Learning Based Brain Tumor Detection and Classification Using MRI Scans with Convolutional Neural Networks
    A Aggarwal, MH Saifi, R Kala, U Yadav, A Mishra, RP Chaturvedi, ...
    2024 International Conference on Control, Computing, Communication and … , 2024
    2024
  • Advancements in Hand Gesture and Sign Language Recognition Using BiLSTM-SoftMax and Deep-Learning
    A Saraswat, K Jaiswal, RP Chaturvedi, A Mishra, H Sharma
    2024 International Conference on Control, Computing, Communication and … , 2024
    2024
    Citations: 3
  • Document Classification and Data Extraction
    M Khurana, RP Chaturvedi, A Mishra, D Gupta, I Negi, A Mishra, ...
    2024 IEEE 3rd World Conference on Applied Intelligence and Computing (AIC … , 2024
    2024
  • Heart Checkmate: An Integrated Platform for Predictive Heart Health Management.
    S Gupta, V Jaiswal, S Gupta, H Sharma, L Banda
    Grenze International Journal of Engineering & Technology (GIJET) 10 , 2024
    2024
    Citations: 1
  • Internet of Things: Vision, Applications and Challenges.
    H Sharma, R Gosain, P Sachdeva
    Grenze International Journal of Engineering & Technology (GIJET) 10 , 2024
    2024
    Citations: 4
  • Crop Recommendation System using Machine Learning and IoT.
    H Sharma, R Garg, S Tarar, S Sharma, S Tayal
    Grenze International Journal of Engineering & Technology (GIJET) 10 , 2024
    2024
    Citations: 7
  • Regression-based Smart Agriculture Prediction.
    S Kumar, H Sharma, S Rajput, A Kumar, VK Tiwari
    Grenze International Journal of Engineering & Technology (GIJET) 10 , 2024
    2024
    Citations: 5

MOST CITED SCHOLAR PUBLICATIONS

  • Multi-Scale Optimized Feature Network for Polyp Segmentation
    A Mishra, RP Chaturvedi, H Sharma, R Sharma, S Asthana
    2023 International Conference on Computing, Communication, and Intelligent … , 2023
    2023.0
    Citations: 10
  • Brain tumor detection using optimized stochastic gradient descent function
    A Mishra, RP Chaturvedi, H Sharma, P Kumar, S Asthana, M Parashar
    2024 International Conference on Electrical Electronics and Computing … , 2024
    2024.0
    Citations: 8
  • Crop Recommendation System using Machine Learning and IoT.
    H Sharma, R Garg, S Tarar, S Sharma, S Tayal
    Grenze International Journal of Engineering & Technology (GIJET) 10 , 2024
    2024.0
    Citations: 7
  • Literature Survey for Design and Analysis of a Multi-Level Algorithmic Technique for Encryption and Decryption
    H Sharma, G Aggarwal, S Kumar
    Grenze International Journal of Engineering & Technology (GIJET) 8 (2) , 2022
    2022.0
    Citations: 6
  • Prediction of Sugar Production using Multivariate Linear Regression.
    S Kumar, H Sharma
    Grenze International Journal of Engineering & Technology (GIJET) 7 (1) , 2021
    2021.0
    Citations: 6
  • Regression-based Smart Agriculture Prediction.
    S Kumar, H Sharma, S Rajput, A Kumar, VK Tiwari
    Grenze International Journal of Engineering & Technology (GIJET) 10 , 2024
    2024.0
    Citations: 5
  • Internet of Things: Vision, Applications and Challenges.
    H Sharma, R Gosain, P Sachdeva
    Grenze International Journal of Engineering & Technology (GIJET) 10 , 2024
    2024.0
    Citations: 4
  • Disruptive Innovations Using Tech-Business Analytics in Primary Industry Sector
    S Kumar, D Dube, R Agarwal, PR Sivaraman, RK Mishra, H Sharma
    2025 12th International Conference on Computing for Sustainable Global … , 2025
    2025.0
    Citations: 3
  • Advancements in Hand Gesture and Sign Language Recognition Using BiLSTM-SoftMax and Deep-Learning
    A Saraswat, K Jaiswal, RP Chaturvedi, A Mishra, H Sharma
    2024 International Conference on Control, Computing, Communication and … , 2024
    2024.0
    Citations: 3
  • Comparative Analysis of Multi-Level Algorithm with Different Encryption and Decryption Security Algorithms
    G Aggarwal, MH Sharma
    Tuijin Jishu/Journal of Propulsion Technology 44 (3), 1640-1648 , 2023
    2023.0
    Citations: 3
  • Cryptocurrency Price Prediction using Optimised LSTM with GRU (Gated Recurrent Unit)
    P Nayyar, K Bhardwaj, S Gupta, RP Chaturvedi, A Mishra, H Sharma
    2024 International Conference on Control, Computing, Communication and … , 2024
    2024.0
    Citations: 2
  • Detection And Prevention Of Cancer In Early Stages Using Linear Regression Algorithm
    K Sachin, H Sharma, VK Tiwari
    Journal of Data Acquisition and Processing 38 (2), 4238 , 2023
    2023.0
    Citations: 2
  • Disruptive Innovations using Tech-Business Analytics in the Quaternary Industry Sector
    S Kumar, H Sharma, PS Aithal
    Poornaprajna International Journal of Emerging Technologies (PIJET) 2 (2), 21-44 , 2025
    2025.0
    Citations: 1
  • Hybrid DNA Differential Methylation Machine Learning Technique for Prediction of Mammary Carcinoma
    H Sharma, RG Sharma, S Mishra, P Kumar, M Parashar, D Dube
    2025 3rd International Conference on Disruptive Technologies (ICDT), 767-771 , 2025
    2025.0
    Citations: 1
  • Heart Checkmate: An Integrated Platform for Predictive Heart Health Management.
    S Gupta, V Jaiswal, S Gupta, H Sharma, L Banda
    Grenze International Journal of Engineering & Technology (GIJET) 10 , 2024
    2024.0
    Citations: 1
  • Study of Portal Parameters in Real Estate
    S Srivastava, H Sharma
    NIET JourNal of ENgINEErINg & Technology (NIETJET) , 0
    Citations: 1
  • Energy-Aware Clustered Federated Learning for Underwater Sensor Networks in Naval Surveillance
    S Tyagi, KR Krishna, H Sharma, H Gupta, A Tyagi, H Sharma, MK Yadav
    Informatica 50 (1) , 2026
    2026.0
  • Blood-bank management system using block chain mechanism
    B Pandey, R Kumar, H Sharma, D Kumar, A Gupta, L Lakshay
    AIP Conference Proceedings 3297 (1), 050004 , 2025
    2025.0
  • Script recognition of printed manuscript images using DCT and PCA at the text-line level
    R Kumar, B Pandey, H Sharma, S Mishra, N Chaudhary, S Yadav, ...
    AIP Conference Proceedings 3297 (1), 080001 , 2025
    2025.0
  • Cyclotech: Deep learning-based cyclone intensity estimation
    H Sharma, R Kumar, B Pandey, S Barwal, Y Bhandari, DN Rawal
    AIP Conference Proceedings 3297 (1), 050001 , 2025
    2025.0