0000-0003-3967-6860 About
Dr. Chhinkaniwala is associated with Adani University, Ahmedabad, INDIA. Currently he is working as Professor & Dean of Faculty of Engineering Sciences and Technology (FEST). He is having 25 years academic and industry experience. Dr. Chhinkaniwala has been invited at as a session chair at many international conferences. Many engineering colleges invited him to deliver expert talks on data science and machine learning. Dr. Chhinkaniwala is also a peer reviewer of national as well as international conferences.
Career Objective:
To serve and lead the organization with dedication, reliability, integrity & to share my experience, to provide the best development plans for the overall development of the institutions and welfare of the students for the global society. Highly interested in participating in the development of new interdisciplinary programs of study; has deep commitment to teaching; excels in research and explore more connects with the industry.
Employment
Employment history is unavailable.
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (14)
- A survey of detection of Parkinson’s disease using artificial intelligence models with multiple modalities and various data preprocessing techniques Save
- A Survey on AI-based Parkinson Disease Detection: Taxonomy, Case Study, and Research Challenges Save
- An Empirical Analysis of Diffusion, Autoencoders, and Adversarial Deep Learning Models for Predicting Dementia Using High-Fidelity MRI Save
- Enhancing Parkinson's Disease Diagnosis through Deep Learning-Based Classification of 3D MRI Images Save
- Parkinson’s Disease Detection Using Machine Learning Save
- The role of sentiment analysis in a recommender system: a systematic survey Save
- A fusion of aspect and contextual information for rating prediction in recommender system using a latent factor model Save
- Deep Reinforcement Learning Based Personalized Health Recommendations Save
- Fuzzy logic based multi document summarization with improved sentence scoring and redundancy removal technique Save
- Investigating machine learning techniques for user sentiment analysis Save