Dr. Monika Goyal | Machine learning | Best Researcher Award

Dayananda Sagar University- India

Author Profile

• Scopus Profile
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📚Early Academic Pursuits

Dr. Monika Goyal’s academic journey began with a strong foundation in Electronics and Communication Engineering. She completed her B.Tech in Electronics & Communication Engineering from Jaipur Engineering College & Research Center, Jaipur, with a commendable 78.6%. Her enthusiasm for learning led her to pursue an M.Tech in Electronics & Communication Engineering at Malviya National Institute of Technology (MNIT), Jaipur, where she excelled with a CGPA of 8.5/10. Her quest for deeper knowledge continued as she embarked on a Ph.D. journey at G.D. Goenka University, Gurgaon, specializing in Medical Image Processing, Machine Learning, and Deep Learning. During her doctoral studies, Dr. Goyal made significant contributions to her field, including publishing two SCI-indexed papers and four Scopus-indexed papers.

🌟Professional Endeavors

Dr. Monika Goyal’s professional career spans over a decade, characterized by her role as an Assistant Professor in various esteemed institutions. She currently serves at Dayanand Sagar University, Bangalore, a position she has held since 2022. Her previous roles include serving as an Assistant Professor at Poornima University, Jaipur, and WCTM, where she significantly impacted the Electronics & Communication and Computer Science departments. Her career also includes tenure at Genba Sopanrao Moze College of Engineering, Pune, Swami Keshvanand Institute of Technology, Jaipur, and the Institute of Computer and Finance Executive (ICFE) Jaipur. Dr. Goyal’s diverse experience in teaching and administration has made her a valuable asset in the engineering education sector.

🔬Contributions and Research Focus

Dr. Goyal’s research interests lie primarily in the domains of Medical Image Processing, Machine Learning, and Deep Learning. Her work includes pioneering methods for tumor detection and contrast enhancement in medical imaging. Notable publications include her paper on “Optimum Contrast Enhancement for Tumour Detection” in the International Journal of Imaging System and Technology (SCI Indexed) and her contribution to “Deep learning for enhanced brain Tumor Detection and classification” published in Results in Engineering (Q1 SCI Indexed Journal). Her research on contrast enhancement techniques, such as the use of Range Limited Weighted Histogram Equalization, has been instrumental in advancing medical image analysis. Additionally, Dr. Goyal’s work on AI and machine learning applications reflects her commitment to pushing the boundaries of technology in healthcare.

🏆Accolades and Recognition

Dr. Goyal’s exceptional contributions to engineering education and research have earned her numerous accolades and recognition. Her academic achievements, including securing top ranks during her B.Tech, M.Tech, and Ph.D., highlight her dedication and excellence. Her research has been recognized through several prestigious publications and conference presentations. Dr. Goyal’s participation in faculty development programs and conferences further underscores her commitment to continuous learning and professional growth.

🌍Impact and Influence

Dr. Goyal’s impact extends beyond academia into practical applications in medical imaging and machine learning. Her research has contributed to improved diagnostic tools and methods, enhancing the quality of healthcare services. Her involvement in mentoring engineering students and guiding their career decisions reflects her influence on the next generation of professionals. By publishing in renowned journals and participating in international conferences, Dr. Goyal has established herself as a thought leader in her field, influencing both academic and industry practices.

🚀Legacy and Future Contributions

Looking forward, Dr. Monika Goyal aims to continue her contributions to the fields of Medical Image Processing and Artificial Intelligence. Her ongoing research and commitment to academic excellence position her as a key figure in advancing these areas. With a focus on innovative solutions and technological advancements, Dr. Goyal is set to leave a lasting legacy in both the academic and professional realms. Her future work promises to further enhance healthcare technologies and contribute to the broader scientific community. Her dedication to learning, teaching, and research ensures that she will remain a significant force in engineering education and scientific research.