BHAGYASHREE ASHOK TINGARE

@d y patil college of engineering akurdi pune

Assistant Professor and Artificial Intelligence & Data Science Department

BHAGYASHREE ASHOK TINGARE


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https://researchid.co/batingare
Dr. Bhagyashree Ashok Tingare has completed her Ph.D. in computer engineering with Augmented Reality and Virtual Reality Specialization from Shri Jagdishprasad Jhabarmal Tibrewala University, Rajasthan. She also received a B.E. and M.E. in Computer Engineering from D. Y. Patil College of Engineering, Akurdi, Pune, Maharashtra India. She has 10+ years of teaching and Industry experience. She has supervised and co-supervised more than 20+ B.E.Projects . She has authored or co-authored more than 50 publications. She is working as an Assistant professor with the Department of Artificial Intelligence & Data Science, D. Y. Patil College of Engineering, Akurdi, Pune, Maharashtra India. Her research interests include Natural language Processing and Artificial Intelligence. She can be contacted at email:bhagyashreetingare@.

EDUCATION

Ph.D. in Computer Engineering

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Artificial Intelligence
22

Scopus Publications

44

Scholar Citations

4

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • AI-Powered Framework for Real-Time Dynamic Resource Allocation in Cloud Computing Platforms
    P. William, Smita Nirkhi, Mohammed Almakki, Sobini Pushpa, Shanthi Kumaraguru, Bhagyashree Ashok Tingare
    International Conference on Innovative Practices in Technology and Management Iciptm 2026, 2026
    The rapid growth of cloud computing has led to the need for intelligent, adaptive, and real-time resource management solutions. Traditional static or threshold-based allocation strategies are no longer sufficient to handle the dynamic and unpredictable nature of modern workloads. This paper presents an AI-powered framework for real-time dynamic resource allocation in cloud computing platforms. The proposed architecture integrates predictive analytics, machine learning algorithms, and feedback loops to forecast workload patterns, identify underutilized or overburdened nodes, and autonomously scale computing, storage, and network resources. Experimental simulations were conducted using diverse workload types and scheduling strategies such as Reinforcement Learning, Genetic Algorithms, Deep Q Learning, and Round Robin. The results, validated through statistical analyses and performance metrics, demonstrate significant improvements in system throughput, costefficiency, and resource utilization. Evaluation using ANOVA, ROC curves, and Precision-Recall analysis further confirms the framework's capability to make intelligent allocation decisions. This study highlights the transformative potential of AI in enabling cloud platforms to become more scalable, cost effective, and responsive to real-time demand fluctuations.
  • Big Data-Driven Modeling and Optimization of Complex Industrial Systems Using Quantum Computing
    P. William, Smita Nirkhi, Mohammed Almakki, Bhagyashree Ashok Tingare, Sobini Pushpa, Prashant V. Thokal
    International Conference on Innovative Practices in Technology and Management Iciptm 2026, 2026
    In the rapidly evolving landscape of Industry 4.0, industrial systems have become increasingly complex, interconnected, and data-intensive. Traditional computational methods often fall short in managing the highdimensional, nonlinear challenges presented by such environments. This paper explores a novel framework that integrates Big Data analytics with quantum computing techniques to model and optimize complex industrial systems-including Smart Grids, Supply Chains, and Manufacturing processes. By leveraging algorithms such as Quantum Approximate Optimization Algorithm (QAOA), Variational Quantum Eigensolver (VQE), and Quantum Machine Learning (QML), the study demonstrates substantial improvements in processing time, accuracy, and resource efficiency compared to classical methods. Empirical evaluation through a structured experimental design and statistical validation via ANOVA confirms that hybrid quantum-classical approaches outperform traditional models across multiple performance metrics. This integration paves the way for real-time, scalable, and intelligent industrial optimization, offering a transformative leap in operational decision-making, fault prediction, and strategic control.
  • Secure and Scalable Edge - Cloud Architecture for IIOT Energy Monitoring and Anomaly Detection
    P. William, Smita Nirkhi, Mohammed Almakki, Prashant V. Thokal, Shanthi Kumaraguru, Bhagyashree Ashok Tingare
    International Conference on Innovative Practices in Technology and Management Iciptm 2026, 2026
    In today's fast-evolving industrial world, where smart factories, energy grids, and automation are all deeply connected, managing energy in real time has become both essential and challenging. The growing number of devices and the data they generate make traditional, centralized systems too slow and vulnerable. This paper introduces a smart and secure Edge-Cloud architecture that solves these challenges by blending fast local data processing (at the edge) with powerful, centralized analysis in the cloud. This hybrid system makes it possible to detect energy issues quickly, keep operations running smoothly, and gain deeper insights through artificial intelligence. The framework has been tested and shows impressive results-detecting anomalies with over 96% accuracy while supporting large—scale deployment and maintaining high system uptime. With this approach, industries can respond faster, stay secure, and make smarter decisions—all in real time.
  • Hybrid deep learning system for crop disease classification using modified SegNet segmentation
    Mukesh Kumar Tripathi, D.N. Vasundhara, V.K.N.S.N. Moorthy Ch, Kapil Misal, Bhagyashree Ashok Tingare, Sanjeevkumar Angadi
    Computers and Electrical Engineering, 2025
    In traditional agricultural systems, managing crop diseases faces significant challenges, primarily due to the reliance on visual inspection and manual symptom identification. These methods are often time-consuming, error-prone, and may fail to detect diseases early or accurately, leading to ineffective treatments and substantial crop loss. Furthermore, the unpredictability of disease symptoms and the existence of similar-looking diseases complicate diagnosis. To address these limitations, there is a growing necessity for innovative deep learning-based methods. This study proposes an advanced Modified LinkNet-Bidirectional Long Short-Term Memory (MLBLSTM)-based system for crop disease classification, incorporating a multi-step process starting with data collection from three datasets: apple, corn, and pepper plant leaves. The preprocessing phase utilizes Enhanced Wiener Filtering (EWF) to preserve high-frequency details and enhance image quality. The filtered images are processed through an advanced Modified SegNet (MSegNet) model to do the segmentation process. Feature extraction follows, leveraging Hierarchy of Skeleton (HOS), Modified Local Gabor Increasing Pattern (MLGIP), Median Binary Pattern (MBP), and statistical features. Finally, the classification step employs a hybrid model combining Modified LinkNet (MLNet) with a novel σ-SE block and Bidirectional Long Short-Term Memory (Bi-LSTM) classifiers. The validation results prove the performance of MLBLSTM model measures with an accuracy of 0.947, a sensitivity of 0.955, and a specificity of 0.936.
  • A Multifaceted Overview of AI in Different Fields: A Survey
    Bhagyashree Ashok Tingare, Sakshi Vikas Nikam, Siddhi Sandeep Narlawar
    Aip Conference Proceedings, 2025
  • Unveiling the Black Box: Enhancing Transparency in Deep LearningThrough Explainable AI
    Bhagyashree Ashok Tingare, Prasad Milind Upasani, Aditya Baswaraj Chidre, Aniket Manvendra Kachole
    Aip Conference Proceedings, 2025
  • Development of Novel Optimization Technique for Surface Duct Estimation on Thin Films
    , Ganesh Punjaba Dawange, Sandip R. Thorat, , Tarun Dhar Diwan, , P. William, , Bhagyashree Ashok Tingare, , Yogeesh N, , Abhishek Badholia, and
    Journal of Nano and Electronic Physics, 2025
    Journal of Nano- and Electronic Physics. Scientific journal. ISSN: 2077-6772. Journal abbreviation: J. Nano- Electron. Phys. No page charges. All articles are freely available on-line. Issued 4 times per year. Publisher: Sumy State University. (Sumy, Ukraine)
  • Quality Control Model for Electrospun Nanofibers through Image Analysis
    , B. A. Tingare, S. R. Deshmukh, , R. A. Kapgate, , S. R. Thorat, , P. William, , S. D. Jondhale, , V. D. Dabhade, and
    Journal of Nano and Electronic Physics, 2025
    Journal of Nano- and Electronic Physics. Scientific journal. ISSN: 2077-6772. Journal abbreviation: J. Nano- Electron. Phys. No page charges. All articles are freely available on-line. Issued 4 times per year. Publisher: Sumy State University. (Sumy, Ukraine)
  • Intelligent Approach for Analyzing Semiconductor Band Gaps in Nanomaterial Systems
    , Bhagyashree Ashok Tingare, R. A. Kapgate, , P. William, , Jaikumar M. Patil, , Tarun Dhar Diwan, , Prasad M. Patare, , Laxmikant S. Dhamande, and
    Journal of Nano and Electronic Physics, 2025
    Journal of Nano- and Electronic Physics. Scientific journal. ISSN: 2077-6772. Journal abbreviation: J. Nano- Electron. Phys. No page charges. All articles are freely available on-line. Issued 4 times per year. Publisher: Sumy State University. (Sumy, Ukraine)
  • Novel Model for Classifying the Toxicity of Metal Oxide Nanoparticles
    , Harshal P. Varade, Jaikumar M. Patil, , Bhagyashree Ashok Tingare, , P. William, , Vaibhav D. Dabhade, , R. A. Kapgate, , Sachin K. Korde, and
    Journal of Nano and Electronic Physics, 2025
    Journal of Nano- and Electronic Physics. Scientific journal. ISSN: 2077-6772. Journal abbreviation: J. Nano- Electron. Phys. No page charges. All articles are freely available on-line. Issued 4 times per year. Publisher: Sumy State University. (Sumy, Ukraine)
  • Optimization of Defect Detection in Atomic Materials Using Graphene Layer
    , Sonal C. Bhangale, Laxmikant S. Dhamande, , Bhagyashree Ashok Tingare, , Tarun Dhar Diwan, , R. A. Kapgate, , P. William, , Prasad M. Patare, and
    Journal of Nano and Electronic Physics, 2025
  • Forecasting Dielectric Behavior of Nano-Epoxy Materials through AI-based Electronic Properties
    , Vaibhav D. Dabhade, Bhagyashree Ashok Tingare, , Sandip R. Thorat, , R. A. Kapgate, , Tarun Dhar Diwan, , Laxmikant S. Dhamande, , P. William, and
    Journal of Nano and Electronic Physics, 2025
  • AI-Based Enhanced Production of Vanadium Dioxide Thermochromic Films
    , G. P. Dawange, T. D. Diwan, , P. William, , P. Kumar, , B. A. Tingare, , N. N. Yogeesh, , A. Badholia, , M. V. Kulkarni, and
    Journal of Nano and Electronic Physics, 2025
  • An NFMF-DBiLSTM model for human anomaly detection system in surveillance videos
    Sanjeevkumar Angadi, Chellapilla V. K. N. S. N. Moorthy, Mukesh Kumar Tripathi, Bhagyashree Ashok Tingare, Sandeep Uddhavrao Kadam, Kapil Misal
    Indonesian Journal of Electrical Engineering and Computer Science, 2024
  • Secure Cloud based Process-Oriented Teaching-Quality Approach in Higher Education with General AI
    Bhagyashree Ashok Tingare, Pranav Kale, Sakshi Vikas Nikam
    International Conference on Intelligent and Innovative Practices in Engineering and Management 2024 Iipem 2024, 2024
  • AI based Mobile Machine Learning Framework for Edge Video Analytics
    Kamalesh Thoppaen Suresh Babu, Tarun Dhar Diwan, G. Prasanna Lakshmi, Lakshmi Narasimhan, Bhagyashree Ashok Tingare, Pravin B Khatkale
    International Conference on Intelligent and Innovative Practices in Engineering and Management 2024 Iipem 2024, 2024
  • Enhancing Efficiency of Declarative Aggregation for Video Analytics Based on Neural Networks
    Kamalesh Thoppaen Suresh Babu, Tarun Dhar Diwan, G. Prasanna Lakshmi, Vijayshri Khedkar, Pravin B Khatkale, Bhagyashree Ashok Tingare
    International Conference on Intelligent and Innovative Practices in Engineering and Management 2024 Iipem 2024, 2024
  • Deep Learning and its Applications: A Novel Approach to Machine Learning with Encoding Algorithms
    Kamalesh Thoppaen Suresh Babu, Bhagyashree Ashok Tingare, Vijayshri Khedkar, Tarun Dhar Diwan, P. William, Abhishek Badholia
    International Conference on Intelligent and Innovative Practices in Engineering and Management 2024 Iipem 2024, 2024
  • AI Applications and the Financial Transformation of FinTech and FinServ Sectors
    Rakesh Thoppaen Suresh Babu, Lakshmi Narasimhan Krishnamoorthy, G. Prasanna Lakshmi, Bhagyashree Ashok Tingare, Tarun Dhar Diwan, Pravin B Khatkale
    International Conference on Intelligent and Innovative Practices in Engineering and Management 2024 Iipem 2024, 2024
  • Responsible AI on National Cybersecurity Strategy with Enhancement of Cybersecurity in Education
    Bhagyashree Ashok Tingare, G. Prasanna Lakshmi, Vijayshri Khedkar, Rakesh Thoppaen Suresh Babu, Tarun Dhar Diwan, Pravin B Khatkale
    International Conference on Intelligent and Innovative Practices in Engineering and Management 2024 Iipem 2024, 2024
  • IOT based Machine Learning Algorithms for Data Science on Quality Control Process
    Lingarasu Kittusamy, G. Prasanna Lakshmi, Pravin B Khatkale, P. William, Onkar Ghige, Bhagyashree Ashok Tingare
    International Conference on Intelligent and Innovative Practices in Engineering and Management 2024 Iipem 2024, 2024
  • AI based Analysis of Hyperspectral Images with Spectacular Efficacy in Video Analytics
    Samarth Yogesh Jadhav, Rutuja Rajatam More, Bhagyashree Ashok Tingare, G. Prasanna Lakshmi, Shivam Kolse, N.K. Darwante
    International Conference on Intelligent and Innovative Practices in Engineering and Management 2024 Iipem 2024, 2024

RECENT SCHOLAR PUBLICATIONS

  • Big Data-Driven Modeling and Optimization of Complex Industrial Systems Using Quantum Computing
    P William, S Nirkhi, M Almakki, BA Tingare, S Pushpa, PV Thokal
    2026 5th International Conference on Innovative Practices in Technology and … , 2026
    2026
  • AI-Powered Framework for Real-Time Dynamic Resource Allocation in Cloud Computing Platforms
    P William, S Nirkhi, M Almakki, S Pushpa, S Kumaraguru, BA Tingare
    2026 5th International Conference on Innovative Practices in Technology and … , 2026
    2026
  • Secure and Scalable Edge—Cloud Architecture for IIOT Energy Monitoring and Anomaly Detection
    P William, S Nirkhi, M Almakki, PV Thokal, S Kumaraguru, BA Tingare
    2026 5th International Conference on Innovative Practices in Technology and … , 2026
    2026
  • Hybrid deep learning system for crop disease classification using modified SegNet segmentation
    MK Tripathi, DN Vasundhara, VM Ch, K Misal, BA Tingare, S Angadi
    Computers and Electrical Engineering 127, 110576 , 2025
    2025
    Citations: 16
  • A multifaceted overview of AI in different fields: A survey
    BA Tingare, SV Nikam, SS Narlawar
    AIP Conference Proceedings 3175 (1), 020084 , 2025
    2025
    Citations: 1
  • Unveiling the black box: Enhancing transparency in deep learning through explainable AI
    BA Tingare, PM Upasani, AB Chidre, AM Kachole
    AIP Conference Proceedings 3175 (1), 020083 , 2025
    2025
  • NEWS LETTER–FEBRUARY 2025
    MTG Lonkar
    GOOGLE , 2025
    2025
  • Development of Novel Optimization Technique for Surface Duct Estimation on Thin Films
    GP Dawange, SR Thorat, TD Diwan, P William, BA Tingare, N Yogeesh, ...
    Sumy State University , 2025
    2025
  • AI-Based Enhanced Production of Vanadium Dioxide Thermochromic Films
    GP Dawange, TD Diwan, P William, P Kumar, BA Tingare, N Yogeesh, ...
    Sumy State University , 2025
    2025
  • Intelligent Approach for Analyzing Semiconductor Band Gaps in Nanomaterial Systems
    BA Tingare, RA Kapgate, P William, JM Patil, TD Diwan, PM Patare, ...
    Sumy State University , 2025
    2025
  • Optimization of Defect Detection in Atomic Materials Using Graphene Layer
    SC Bhangale, LS Dhamande, BA Tingare, TD Diwan, RA Kapgate, ...
    Sumy State University , 2025
    2025
  • Novel Model for Classifying the Toxicity of Metal Oxide Nanoparticles
    HP Varade, JM Patil, BA Tingare, P William, VD Dabhade, RA Kapgate, ...
    Sumy State University , 2025
    2025
  • Forecasting Dielectric Behavior of Nano-Epoxy Materials through AI-based Electronic Properties
    VD Dabhade, BA Tingare, SR Thorat, RA Kapgate, TD Diwan, ...
    Sumy State University , 2025
    2025
  • Quality Control Model for Electrospun Nanofibers through Image Analysis
    BA Tingare, SR Deshmukh, RA Kapgate, SR Thorat, P William, ...
    Sumy State University , 2025
    2025
    Citations: 1
  • Responsible AI on National Cybersecurity Strategy with Enhancement of Cybersecurity in Education
    BA Tingare, GP Lakshmi, V Khedkar, RTS Babu, TD Diwan, PB Khatkale
    2024 International Conference on Intelligent & Innovative Practices in … , 2024
    2024
    Citations: 3
  • Deep Learning and its Applications: A Novel Approach to Machine Learning with Encoding Algorithms
    KTS Babu, BA Tingare, V Khedkar, TD Diwan, P William, A Badholia
    2024 International Conference on Intelligent & Innovative Practices in … , 2024
    2024
    Citations: 4
  • IOT based Machine Learning Algorithms for Data Science on Quality Control Process
    L Kittusamy, GP Lakshmi, PB Khatkale, P William, O Ghige, BA Tingare
    2024 International Conference on Intelligent & Innovative Practices in … , 2024
    2024
    Citations: 4
  • AI based mobile machine learning framework for edge video analytics
    KTS Babu, TD Diwan, GP Lakshmi, L Narasimhan, BA Tingare, ...
    2024 International Conference on Intelligent & Innovative Practices in … , 2024
    2024
    Citations: 1
  • Enhancing Efficiency of Declarative Aggregation for Video Analytics Based on Neural Networks
    KTS Babu, TD Diwan, GP Lakshmi, V Khedkar, PB Khatkale, BA Tingare
    2024 International Conference on Intelligent & Innovative Practices in … , 2024
    2024
  • Secure Cloud based Process-Oriented Teaching-Quality Approach in Higher Education with General AI
    BA Tingare, P Kale, SV Nikam
    2024 International Conference on Intelligent & Innovative Practices in … , 2024
    2024
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Hybrid deep learning system for crop disease classification using modified SegNet segmentation
    MK Tripathi, DN Vasundhara, VM Ch, K Misal, BA Tingare, S Angadi
    Computers and Electrical Engineering 127, 110576 , 2025
    2025
    Citations: 16
  • Cyber physical systems (CPS) and design automation for healthcare system: a new era of cyber computation for healthcare system
    S Kurde, J Shimpi, R Pawar, B Tingare
    Structure 6 (12), 1472-1475 , 2019
    2019
    Citations: 8
  • Deep Learning and its Applications: A Novel Approach to Machine Learning with Encoding Algorithms
    KTS Babu, BA Tingare, V Khedkar, TD Diwan, P William, A Badholia
    2024 International Conference on Intelligent & Innovative Practices in … , 2024
    2024
    Citations: 4
  • IOT based Machine Learning Algorithms for Data Science on Quality Control Process
    L Kittusamy, GP Lakshmi, PB Khatkale, P William, O Ghige, BA Tingare
    2024 International Conference on Intelligent & Innovative Practices in … , 2024
    2024
    Citations: 4
  • Responsible AI on National Cybersecurity Strategy with Enhancement of Cybersecurity in Education
    BA Tingare, GP Lakshmi, V Khedkar, RTS Babu, TD Diwan, PB Khatkale
    2024 International Conference on Intelligent & Innovative Practices in … , 2024
    2024
    Citations: 3
  • Human Activity Recognition Using Deep Learning: A Survey
    BM Nanche, HJ Dand, B Tingare
    International Journal of Scientific Research in Computer Science … , 2020
    2020
    Citations: 2
  • Analysis of Various Page Replacement Algorithms in Operating System
    BA Tingare
    IJSR , 2016
    2016
    Citations: 2
  • A multifaceted overview of AI in different fields: A survey
    BA Tingare, SV Nikam, SS Narlawar
    AIP Conference Proceedings 3175 (1), 020084 , 2025
    2025
    Citations: 1
  • Quality Control Model for Electrospun Nanofibers through Image Analysis
    BA Tingare, SR Deshmukh, RA Kapgate, SR Thorat, P William, ...
    Sumy State University , 2025
    2025
    Citations: 1
  • AI based mobile machine learning framework for edge video analytics
    KTS Babu, TD Diwan, GP Lakshmi, L Narasimhan, BA Tingare, ...
    2024 International Conference on Intelligent & Innovative Practices in … , 2024
    2024
    Citations: 1
  • Secure Cloud based Process-Oriented Teaching-Quality Approach in Higher Education with General AI
    BA Tingare, P Kale, SV Nikam
    2024 International Conference on Intelligent & Innovative Practices in … , 2024
    2024
    Citations: 1
  • Advanced Techniques in Cancer Prediction: A Review of Data Mining and Machine Learning Approaches
    YS Goud, MK Tripathi, A Shinde, D Bongulwar, B Tingare, S Angadi
    Nanotechnology Perceptions 20, 1173-1185 , 2024
    2024
    Citations: 1
  • Big Data-Driven Modeling and Optimization of Complex Industrial Systems Using Quantum Computing
    P William, S Nirkhi, M Almakki, BA Tingare, S Pushpa, PV Thokal
    2026 5th International Conference on Innovative Practices in Technology and … , 2026
    2026
  • AI-Powered Framework for Real-Time Dynamic Resource Allocation in Cloud Computing Platforms
    P William, S Nirkhi, M Almakki, S Pushpa, S Kumaraguru, BA Tingare
    2026 5th International Conference on Innovative Practices in Technology and … , 2026
    2026
  • Secure and Scalable Edge—Cloud Architecture for IIOT Energy Monitoring and Anomaly Detection
    P William, S Nirkhi, M Almakki, PV Thokal, S Kumaraguru, BA Tingare
    2026 5th International Conference on Innovative Practices in Technology and … , 2026
    2026
  • Unveiling the black box: Enhancing transparency in deep learning through explainable AI
    BA Tingare, PM Upasani, AB Chidre, AM Kachole
    AIP Conference Proceedings 3175 (1), 020083 , 2025
    2025
  • NEWS LETTER–FEBRUARY 2025
    MTG Lonkar
    GOOGLE , 2025
    2025
  • Development of Novel Optimization Technique for Surface Duct Estimation on Thin Films
    GP Dawange, SR Thorat, TD Diwan, P William, BA Tingare, N Yogeesh, ...
    Sumy State University , 2025
    2025
  • AI-Based Enhanced Production of Vanadium Dioxide Thermochromic Films
    GP Dawange, TD Diwan, P William, P Kumar, BA Tingare, N Yogeesh, ...
    Sumy State University , 2025
    2025
  • Intelligent Approach for Analyzing Semiconductor Band Gaps in Nanomaterial Systems
    BA Tingare, RA Kapgate, P William, JM Patil, TD Diwan, PM Patare, ...
    Sumy State University , 2025
    2025