Congratulations to Sashikanta Prusty – Cancer Classification and Prediction- Best Researcher  – Award Winner 2023

Sashikanta Prusty

Sashikanta Prusty is dedicated to the development and implementation of new technology tools and applications in healthcare, with a focus on employing adaptive deep learning/machine learning strategies for effective disease diagnosis to prevent unnecessary deaths.

professional profile:

• • Scopus Profile
  • ORCID Profile
  • Google Scholar

Professional Endeavors

• Industry Experience: 03 years
• Teaching Experience: 04 years
• Research Experience: 3 years

Contributions and Research Focus

Sashikanta Prusty has an extensive research focus in the field of healthcare technology, particularly in the development and implementation of new technology tools and applications. His primary research areas include:

• Deep Learning/Machine Learning Strategies: Applied for disease diagnosis to prevent unnecessary deaths.
• Meta-Learning Algorithm: Used in the development of SEMeL-LR for breast cancer classification.
• Integrated Machine Learning-Fuzzy and Dimension Reduction Techniques: Applied for breast cancer prediction.
• Transfer Learning Techniques: Developed a novel technique for detecting breast cancer mammograms using VGG16 bottleneck features.

Accolades and Recognition

• Published Papers in Journals:
  1. SEMeL-LR: An improvised modeling approach using a meta-learning algorithm to classify breast cancer.
  2. Prediction of Breast cancer using integrated machine learning-fuzzy and dimension reduction techniques.
  3. SKCV: Stratified K-fold Cross-Validation on ML Classifiers for Predicting Cervical Cancer.
  4. Comparative analysis and prediction of coronary heart disease.
  5. A Novel Transfer Learning Technique for Detecting Breast Cancer Mammograms Using VGG16 Bottleneck Feature.
  6. Smart City E-Governance Through Intelligent ICT Framework.
  7. Integrating Adam Optimizer to Enhance Efficiency of Transfer Learning Model for Diagnosing Cancers.
  8. Internet of Things brings Revolution in eHealth: Achievements and Challenges.
  9. Designing a Pipeline for Predicting Power Grid Stability with Artificial Neural Network (ANN).
  10. Impact of COVID-19 on Breast Cancer Screening Program (BCSP) in India.
  11. Application of Artificial Intelligence in Fuzzy Logic for Crop Management in Agriculture.
• Conference Contributions:
  • Presented papers in various international conferences, such as APSIT, DASA, ICIDeA, MLCSS, and ODICON.

Impact and Influence

Sashikanta Prusty has contributed significantly to the field of healthcare technology, specifically in the development of machine learning models for disease diagnosis. His work has been published in reputable journals and presented at international conferences, indicating a positive impact on the academic and research community.

Legacy and Future Contributions

While the provided information does not explicitly mention the legacy, Sashikanta Prusty’s continuous involvement in research and academia suggests a commitment to making further contributions in the field of healthcare technology, machine learning, and data analysis.

Notable Publication

Smart City E-Governance Through Intelligent ICT Framework. 31 January 2022

Time Series Analysis of SAR-Cov-2 Virus in India Using Facebook’s Prophet. 

SEMeL-LR: An improvised modeling approach using a meta-learning algorithm to classify breast cancer.  March 2024, 107630

Prediction of Breast cancer using integrated machine learning-fuzzy and dimension reduction techniques. 02 July 2023 1633-1652, 2023