Dr. Hitesh Chhinkaniwala

Designation: Associate Dean (Academics) and Associate Professor

Qualifications: Ph.D. (Computer Engg), M.Tech, NIT-K, BE, Diploma in Management


Academic Area: Computer Science and Engineering

Brief Profile:

Dr. Hitesh Chhinkaniwala is currently associated with Adani University, Ahmedabad–INDIA. Currently he is working as an associate professor and head of Information and Communication Technology department. He is having 22 years academic experience. Apart from academic experience, Dr. Chhinkaniwala also has an experience to work with a US based data analysis firm for two years during the early years of his career and later worked as a consultant for more than 17 years. 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. Dr. Chhinkaniwala is 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.


  • PhD in Computer Science and Engineering, 2014, KSV Gandhinagar
  • M.Tech in Computer Science and Engineering, 2008, NIT Surathkal
  • B.E. in Computer Engineering, 1997, Gujarat University
  • Diploma in Management, 2004, IGNOU

  • 2023 onwards: Associate Dean (Academics), Adani University. Associate Professor and Head, Computer Science and Engineering (AI-ML) department.
  • 2017-2022: Associate Professor & Head, Computer Science & Engineering allied courses, Adani Institute of Infrastructure Engineering, Ahmedabad
  • 2017 onwards: Associate Professor & Head, Computer Science & Engineering allied courses, Adani Institute of Infrastructure Engineering, Ahmedabad
  • 2015-2017: Associate Professor, Adani Institute of Infrastructure Engineering, Ahmedabad
  • 2014-2015: Associate Professor, Shankersinh Vaghela Bapu Institute of Technology, Gandhinagar
  • 2000-2014: Assistant Professor, U V Patel College of Engineering, Mehsana
  • 2000-2015: Senior Research Consultant, FinGlobe Inc, NJ, USA
  • 1998-2000: System Analyst, Center of International Financial Analysis and Research (CiFAR), Ahmedabad

  • Lifetime Member – ISTE (LM 39191)

  • 4th International Conference on Futuristic Trends in Networks and Computing Technologies, Nirma University, 2022.
  • 4th International Conference on Smart and Sustainable Developments in Engineering and Technology, Parul University, 2022.
  • Program Committee Member and Reviewer – IEEE World Conference on Applied Intelligence and Computing (AIC), 2022.
  • Technical Advisory committee member and Reviewer – 4th International Conference on Futuristic Trends in Networks and Computing Technologies (FTNCT), 2021.
  • Technical Review Committee member at Nirma Institute of Technology, Ahmedabad at National Conference (NUiCONE), 2015.
  • Session co-chair at National Level Conference on “Knowledge Information & Telematics, Ganpat University, 2011.
  • Reviewer – First International Conference on ‘Networked Digital Technologies (NDT), Co-sponsored by IEEE Communications Society, Ostrava, Czech Republic, 2009.
  • International program committee member (Reviewer) – First IEEE International Conference on the Applications of Digital Information and Web Technologies (ICADIWT), VSB-Technical University of Ostrava, Czech Republic, 2008.
  • International program committee member – International Association of Computer Science and Information Technology (IACSIT), 2008

  • Data Mining
  • Privacy Preserving Data Mining
  • Text Mining
  • Text Summarization
  • Sentiment Analysis
  • Recommender System
  • Information Filtering
  • Social Network Analysis

Books

Articles

  • 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.
  • 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, pp 197–212, DOI:10.1007/978-981-16-7167-8_15, January 2022.
  • Hemant Ghayvat, Dhyan Thakkar, Rebakah Geddam, Pooja Shah, Shivani Desai, Hitesh Chhikaniwala, A Multimodal Approach for Early-Stage Parkinson’s Disease Detection with Intricate Handwriting Kinematics, 5th International Conference on Sensing Technology, Sydney, Australia, December 2022 (Selected).
  • 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.
  • Mulani, J., Heda, S., Tumdi, K., Patel, J., Chhinkaniwala, H., Patel, J., Deep Reinforcement Learning Based Personalized Health Recommendations. In: Dash, S., Acharya, B., Mittal, M., Abraham, A., Kelemen, A. (eds) Deep Learning Techniques for Biomedical and Health Informatics. Studies in Big Data, vol 68. Springer, 2020.
  • 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.
  • 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.
  • 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.
  • Paresh Solanki, Sanjay Garg and Hitesh Chhinkaniwala, Heuristic-based hybrid privacy-preserving data stream mining approach using SD-perturbation and multi-iterative k-anonymisation, International Journal of Knowledge Engineering and Data Mining International Journal of Knowledge Engineering and Data Mining, Volume 5, No. 4, Pages 306-332, 2018.
  • Solanki Paresh, Garg Sanjay and Chhinkaniwala Hitesh, Privacy Preserving in Data Stream Mining Using Multi-Iterative K-anonymization, International Journal of Data Mining and Emerging Technologies, Volume 8, Issue 1, Pages 27-35, 2018.
  • Solanki Paresh, Garg Sanjay and Chhinkaniwala Hitesh, A Comprehensive Review of Privacy Preserving Techniques in Data Mining and Data Stream Mining, International Journal of Data Mining and Emerging Technologies, Volume 8, Issue 1, Pages 103-114, 2018.

Find out more about Dr. Chhinkaniwala’s Publications – (https://www.researchgate.net/profile/Dr_Hitesh_Chhinkaniwala)

  • Extracting and analyzing business information and news, stock market, and other business information services.

  • Delivered more than 20 keynote address / expert talks / invited talk in the field of machine learning, privacy preserving data mining, data stream mining, information security etc.

  • Board of Studies member at Gujarat Technological University, P P Savani University, Sankalchand Patel University
  • Doctorate Research Committee member at Gujarat Technological University, Ganpat University, Indus University
  • Reviewer – ACM transactions on Knowledge Discovery from Data (TKDD)
  • Reviewer – Journal of Information Science, SAGE Publishing