shruti sharma

About

Dr. Shruti Sharma, an accomplished Assistant Professor in Computer Engineering, brings over 16 years of rich teaching experience alongside a profound dedication to research. With a PhD, ME, and BE in Computer Science & Engineering, Dr. Sharma has made significant contributions to academia through her numerous high-impact publications and her leadership in organizing prestigious national-level Faculty Development Programs (FDPs), symposiums, conferences, seminars, webinars, and expert talks. Renowned for her expertise in designing and implementing advanced machine learning and deep learning models, she holds various certifications in these cutting-edge fields. Her research interests span Data Science, Machine Learning, and Deep Learning, areas in which she continues to innovate and contribute actively. As a dedicated member of esteemed professional bodies such as ACM, CSI, SCRS, and MIAENG, Dr. Sharma remains committed to pushing the boundaries of technology and knowledge, inspiring the next generation of engineers and researchers.

For a deeper dive into her scholarly work, visit her research profiles on Scopus, ResearchGate, and ORCID.

Employment

• SVKM's NMIMS Deemed to be University School of Management Assistant Professor
  2023 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• Hybrid deep learning for hyperspectral cube reconstruction in computed tomography imaging spectrometry via angular spectrum propagation
  Optics and Lasers in Engineering 2026 DOI: 10.1016/j.optlaseng.2026.109827
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• Explainability‐Based Optimized Deep Learning in Histopathological Diagnosis of Multiple Cancers and Development of Mobile Application
  Microscopy Research and Technique 2026 DOI: 10.1002/jemt.70115
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• Multiclass vulnerability and clone detection in Ethereum smart contracts using Block-wise Abstract Syntax Tree based Federated Graph Neural Networks
  Computers and Electrical Engineering 2025 DOI: 10.1016/j.compeleceng.2025.110220
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• Facial Emotion Recognition Through Artificial Intelligence and Machine Learning
  2024 International Conference on Intelligent Computing and Sustainable Innovations in Technology (IC-SIT) 2024 DOI: 10.1109/ic-sit63503.2024.10862210
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• NHAPMAD: Novel hybrid approaches for privacy‐preserved multiple attacks detection
  Concurrency and Computation: Practice and Experience 2024 DOI: 10.1002/cpe.8154
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• Prognosis of Dengue Incidences in India Using LSTM with Multivariate Data
  2024 DOI: 10.1007/978-981-99-9040-5_34
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• Analysis and Prediction of COVID-19 Multivariate Data Using Deep Ensemble Learning Methods
  International Journal of Environmental Research and Public Health 2023 DOI: 10.3390/ijerph20115943
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• Survey and Analysis of Epidemic Diseases Using Regression Algorithms
  2023 DOI: 10.1007/978-981-99-5881-8_12
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• COVID-19 Public Opinion: A Twitter Healthcare Data Processing Using Machine Learning Methodologies
  International Journal of Environmental Research and Public Health 2022 DOI: 10.3390/ijerph20010432
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• Predictive analysis and survey of COVID-19 using machine learning and big data
  Journal of Interdisciplinary Mathematics 2021 DOI: 10.1080/09720502.2020.1833445
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