Prof. (Dr.) Hitesh Chhinkaniwala

Designation: Professor & Dean

Biography:

Prof. Hitesh Chhinkaniwala has been associated with Adani University (Erstwhile Adani Institute of Infrastructure Engineering), Ahmedabad since 2015 and is currently Professor and Dean, Faculty of Engineering Sciences and Technology. He brings over 27 years of academic, research, and consultancy experience, including early-career work with a US-based data analytics firm and 17+ years of consulting. He has chaired sessions at several international conferences and delivered expert talks on data science and machine learning at various engineering institutions. He also serves as a peer reviewer for national and international conferences and is passionate about developing interdisciplinary programs, strengthening industry connections, and advancing impactful teaching and research.

  • Ph.D. in Computer Science and Engineering (2014)
  • M.Tech. in Computer Science and Engineering (2008)
  • Diploma in Management (2004)
  • IBM Certified Specialist – IBM WebSphere Studio, Application Developer for Windows V4.0.3 (2003)
  • B.E. in Computer Engineering (1997)

  • 2024 – Current: Professor & Dean, Faculty of Sciences and Technology (FEST), Adani University, Ahmedabad
  • 2022 – 2024: Associate Dean (Academics), Adani University, Ahmedabad
  • 2019 – 2024: Associate Professor and Head, Computer Science and Engineering (AI-ML), Adani Institute of Infrastructure Engineering, Ahmedabad | Faculty of Engineering Sciences and Technology (FEST), Adani University, Ahmedabad
  • 2017 – 2024: Associate Professor and Head, Information and Communication Technology, Adani Institute of Infrastructure Engineering, Ahmedabad | Faculty of Engineering Sciences and Technology (FEST), Adani University, Ahmedabad
  • 2015 – 2017: Associate Professor, Computer Science and Engineering, Adani Institute of Infrastructure Engineering, Ahmedabad
  • 2014 – 2015: Associate Professor & Dean, Computer Engineering, Shankersinh Vaghela Bapu Institute of Technology, Gandhinagar
  • 2000 – 2014: Assistant Professor, Computer Engineering, U V Patel College of Engineering, Ganpat University, Mehsana
  • 1998-2000: System Analyst, Center for International Finance and Research (CiFAR), Ahmedabad. A subsidiary of FinGlobe, Inc., USA

  • AI in Healthcare,
  • Privacy Preserving Data Mining
  • Text Mining, Text Summarization
  • Sentiment Analysis
  • Recommender System
  • Information Filtering, Social Network Analysis

  1. Nimesh Patel, Harshad Bhadka, Hitesh Chhinkaniwala, Content based Hotel Recommender using Multi-aspect Sentiment Analysis by Rating Inference from User Reviews, Journal of Information Systems Engineering and Management, 2025.
  2. Shivani Desai, Hitesh Chhinkaniwala, A survey on detection of Parkinson’s disease using Artificial Intelligence models with multiple modalities and various data-preprocessing techniques, Journal of Education and Health Promotion 2024.
  3. Shivani Desai, Kaju Patel, Alay Patel, Devam Patel, Nilesh Kumar Jadav, Hitesh Chhikaniwala, Sudeep Tanwar, A Survey on AI-based Parkinson Disease Detection: Taxonomy, Case Study, and Research Challenges, Scalable Computing: Practice and Experience (SCPE), 2024.
  4. Shivani Desai, Hitesh Chhinkaniwala, Smit Shah, Pranshav Gajjar, Enhancing Parkinson’s disease diagnosis through deep learning-based classification of 3D MRI images, Procedia Computer Science, 2024
  5. Pranshav Gajjar, Manav Garg, Shivani Desai, Hitesh Chhinkaniwala, Harshal Sanghvi, Riki Patel, An Empirical Analysis of Diffusion, Autoencoders, and Adversarial Deep Learning Models for Predicting Dementia Using High-Fidelity MRI, IEEE Access: The Multidisciplinary Open Access Journal, 2024.
  6. Shivani Desai, Darshee Mehta, Vijay Dulera, Hitesh Chhikaniwala, Parkinson’s Disease Detection Using Machine Learning, Intelligent Sustainable Systems, Pages 43-58, Springer Nature Singapore, 2022.
  7. Jitali Patel and Hitesh Chhinkaniwala, The role of sentiment analysis in a recommender system: A systematic review, International Journal of Web Engineering and Technology, Volume 17, Issue 1, Pages 29-61, 2022.
  8. Jitali Patel and Hitesh Chhinkaniwala, A fusion of aspect and contextual information for rating prediction in recommender system using a latent factor model, International Journal of Web Engineering and Technology, Volume 16, Issue 1, Pages 30-52, 2021.
  9. D Patel, S Shah, H Chhinkaniwala, Fuzzy logic based multi document summarization with improved sentence scoring and redundancy removal technique, Expert Systems with Applications, Volume 134, Pages 167-177, 2019.
  10. Nimesh Patel and Hitesh Chhinkaniwala, Investigating Machine Learning Techniques for User Sentiment Analysis, International Journal of Decision Support System Technology (IJDSST), Volume 11, No. 3, Pages 1-12, 2019.
  11. Darshna Patel and Hitesh Chhinkaniwala, Fuzzy logic-based single document summarisation with improved sentence scoring technique, International Journal of Knowledge Engineering and Data Mining, Volume 5, No. 1-2, Pages 125-138, 2018.

  1. Jainish Savalia, Shivani Desai, Rebakah Geddam, Pooja Shah, Hitesh Chhikaniwala, Early-Stage Detection Model Using Deep Learning Algorithms for Parkinson’s Disease Based on Handwriting Patterns, International Conference on Advancements in Smart Computing and Information Security, Springer Nature Switzerland, Pages 323-332, 2022.
  2. Lokesh P Gagnani, K H Wandra, Hitesh Chhinkaniwala, Classification optimization using PSO-SSO based support vector machine, 3rd International Conference on Computational Intelligence & Communication Technology (CICT), IEEE Explore, 2017.
  3. Hitesh Chhinkaniwala and P. Santhi Thilagam, “InterTARM: FP-tree based Framework for Mining Inter-transaction Association Rules from Stock Market Data”, International Conference on Computer Science and Information Technology (ICCSIT’08), Singapore, 2008.

  1. Desai, S., Mehta, D., Dulera, V., Chhikaniwala, H., Parkinson’s Disease Detection Using Machine Learning. In: Raj, J.S., Shi, Y., Pelusi, D., Balas, V.E. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, 2022.
  2. Paresh Solanki, Sanjay Garg and Hitesh Chhinkaniwala, Preserve Privacy on Streaming Data During the Process of Mining Using User Defined Delta Value, In book: Innovative Data Communication Technologies and Application, 2022.
  3. Jayraj Mulani, Sachin Heda, Kalpan Tumdi, Jitali Patel, Hitesh Chhinkaniwala, Jigna Patel, Deep Reinforcement Learning Based Personalized Health Recommendations, Deep learning techniques for biomedical and health informatics, Studies in Big Data, 2019

  1. Fundamentals of Machine learning with Python, 25 Hours, 20 Participants, 2019