Zameer Abbas | Statistics | Best Researcher Award

Posted on by Academic achievements

Mr.Zameer Abbas | Statistics | Best Researcher Award 

Ph.D Scholar East China Normal University, Shanghai, China

Zameer Abbas is an accomplished academic and researcher in the field of Statistics, currently serving as an Assistant Professor at Govt. Ambala Muslim College, Sargodha, Pakistan. With a rich background in developing and enhancing control charts, his work has significantly contributed to the field of quality process control. He is known for his innovative approaches in statistical methods and has a robust publication record in renowned journals.

Profile

Scopus

🎓 Education

Zameer Abbas holds an M.Phil. in Statistics from the University of Sargodha (2017) with a CGPA of 3.25/4. He also earned a gold medal for his M.Sc. in Statistics from the University of Punjab, Lahore (2008), achieving an impressive 891/1200 marks.

đź’Ľ Experience

Zameer has extensive teaching experience, beginning as a Lecturer in Statistics at Govt. Degree College Bhagtanwala and progressing to his current role as Assistant Professor at Govt. Ambala Muslim College. Over his career, he has taught various courses, including Business Statistics, Probability Theory, and Econometrics.

🔬 Research Interests

His research interests encompass the development of new control charts, non-parametric control charts, robust control charts, and enhancing the performance of memory-type control charts. He is also interested in quality process control, econometrics, regression, probability distributions, statistical inference, Bayesian analysis, and sampling techniques.

🏆 Awards

Zameer has received numerous academic distinctions, including:

  • 1st position in M.Sc. Statistics from Punjab University, Lahore.
  • Scholarship from the University of Sargodha for his M.Phil. studies.
  • Best student certificates for the year 2007 from the District Association Jhang and Govt. Postgraduate College Jhang.

đź“š Publications

Zameer Abbas has an impressive list of publications, contributing significantly to the field of quality and reliability engineering. Here are some of his notable works:

  1. Abbas, Z., et al. (2019). An enhanced approach for the progressive mean control charts. Quality and Reliability Engineering International, 35(4), 1046-1060. Link
  2. Abbas, Z., et al. (2020). On designing an efficient control chart to monitor fraction nonconforming. Quality and Reliability Engineering International, 36(3), 547-564. Link
  3. Abbas, Z., et al. (2020). On Developing an Exponentially Weighted Moving Average Chart under Progressive setup: An Efficient approach to Manufacturing Processes. Quality and Reliability Engineering International, 36(7), 2569-2591. Link
  4. Abbas, Z., et al. (2020). Enhanced Nonparametric Control Charts under Simple and Ranked Set Sampling Schemes. Transactions of the Institute of Measurement and Control, 42(14), 2744-2759. Link
  5. Abbas, Z., et al. (2020). On Designing a Progressive Mean Chart for Efficient Monitoring of Process Location. Quality and Reliability Engineering International, 36(5), 1716-1730. Link

 

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

Posted on by Academic achievements
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:

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