Dr Mayuri Mehta

Dr Mayuri Mehta

Sarvajanik College of Engineering and Technology
location_on India

Member since 1 month


Dr Mayuri Mehta

Specialises In
DataScience Design and Analysis of Algorithms Machine Learning/Deep Learning Python Programming Research Methodology

Dr. Mayuri is working as a Professor in the Department of Computer Engineering of Sarvajanik College of Engineering and Technology, Surat. She received doctorate in Computer Engineering from National Institute of Technology, Surat. She has 18 years of teaching experience including 9 years of research experience. Her areas of teaching and research include Data Science, Machine Learning/Deep Learning, Design and Analysis of Algorithms, Python Programming and Research Methodology. She has received fund from Indian Council of Medical Research (ICMR) for the project titled “Craniofacial Measurements: Facial Index and Nasal Index of Population of South Gujarat and its Relevance in Reconstructive Surgery”. She has also received grants several times from Gujarat Council on Science and Technology (GUJCOST) for organizing various workshops and trainings. She has delivered expert talks and conducted hands-on sessions for several faculty development programs and workshops. She has served as Session Chair and as Member, Advisory Committee/Technical Program Committee for several International Conferences. With the noble intention of applying her technical knowledge for societal impact, she is working on the following healthcare projects in association with doctors of Medical Colleges and their Local Research Units (LRU).

Completed projects: 

  • A Deep Learning based Automated System to Measure Craniofacial Indices for Facial Reconstructive Surgery
  • An Approach to Detect Dry Eye Disease using Deep Learning
  • Racial Categorization of Population of South Gujarat using Deep Learning

On-going projects:

  • Psychology Analysis based on Behavioral Aspects using Deep Neural Network 
  • A Deep Learning based Approach for Diagnosis of Maculopapular Rash based Disease in Children
  • An Automated System for Early Diagnosis of Skarlet-Fever using Deep Learning