Dr. Mayuri Mehta

Dr. Mayuri Mehta

Professor & PG In-Charge
Department of Computer Engineering, Sarvajanik College of Engineering and Technology
location_on India

Member since 2 years


Dr. Mayuri Mehta

Specialises In
Computer Algorithms DataScience Machine Learning/Deep Learning Python Programming Research Methodology

Dr. Mayuri is working as a Professor and PG In-Charge 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 19 years of teaching experience including 10 years of research experience. Her areas of teaching and research include Data Science, Machine Learning/Deep Learning, Computer Algorithms, Python Programming and Research Methodology. More than 25 publications in National/International Conference and Journal are credited to her, which reflect her research outlook. 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 funds several times from Gujarat Council on Science and Technology (GUJCOST) for organizing various workshops and trainings. She has delivered talks and conducted hands-on session/workshop/tutorial in several Faculty Development Programs and Conferences. She has served as Session Chair and as Member, Advisory Committee/Technical Program Committee for several International Conferences. She has been reviewer for many International Conferences and Journals. With the noble intention of applying her technical knowledge for societal impact, she is working on the following healthcare projects in association with the doctors doing private practice and the 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:

  • A Deep Learning based Approach for Diagnosis of Maculopapular Rash based Diseases
  • Early Detection of Hypothyroidism in Infants
  • Prediction of Next Move in Minimally Invasive Surgery
  • Artificial Intelligence to Identify Candidate Molecules during Drug Discovery