Dr. Jigna Prajapati
Also known as: Dr.J.B.Prajapati, Prajapati J.B.
Nirma University, Ganpat University
About
Dr.Jigna Prajapati has rich experience of 21 years in academia, research and IT industry, holding Doctorate in Computer Science. She claims on her name more than sixty international & national publication and Edited 4 Books. She has secured many best paper awards in international & national Conferences in research category. Beside Assistant professor she is Motivator, Online and Offline Trainer & counsellor. Leading a team which involves work of Infrastructure/ Academic Planning & Development, Network Design & Management, Examination, Key Administration & Research. She is actively working in field of Artificial Intelligence & Machine Learning focusing on healthcare. She has delivered 11 invited session/hands-on in various conference, seminar and workshop.
Area Of Interest: Software Fault Tolerance, Data mining, Artificial Intelligence, ML classification, Hands on for Weka 3.9.0
Employment
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Nirma University2026 - Present
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Ganpat University Deputy Registrar2023 - 2026
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Ganpat University Associate Professor2022 - 2022
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Ganpat University Assistant Professor2006 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (75)
- Deep Learning Approaches for Predicting Bioactivity of Natural Compounds Save
- Artificial Intelligence in Macular Degeneration: Detection and Therapy Save
- Wearable Healthcare Technologies in Personalized Medication for Pediatric and Geriatric Patients Save
- Role of artificial intelligence in bladder cancer management Save
- Machine Learning for Targeted Nano Medicine in Parkinson’s Disease: A Data-Driven Approach for Diagnosis and Treatment Save
- Enhancing nail disease diagnosis: a capsule network with SE attention and dual backbone models Save
- Role of Machine Learning and Artificial Intelligence in Personalized Medication for Pediatric and Geriatric Patients Save
- Computational Attitudes to Drug Discovery in Alzheimer’s Disease Save
- The Integration of Molecular Docking and Machine Learning in Drug Discovery for Neurological Disorders Save
- Preface Save