Prof. Hitesh Chhinkaniwala

Designation: Professor & Dean, FEST & Head – IT

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


Academic Area: Computer Science and Engineering

Brief Profile:

Prof. Hitesh Chhinkaniwala is currently associated with Adani University, Ahmedabad–INDIA since 2015. Currently he is working as a Professor and Dean of Faculty of Engineering Sciences and Technology, Adani University. He also heads Computer Science and Engineering (AI-ML) department. He is having more than 25 years of academic / research / consultancy experience. Prof. 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. Prof. 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. Prof. Chhinkaniwala is also a peer reviewer of national as well as international conferences. Prof. 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
  • Diploma in Management, 2004, IGNOU
  • IBM Certified Specialist – IBM WebSphere Studio, Application Developer for Windows V4.0.3, 2003
  • B.E. in Computer Engineering, 1997, Gujarat University

  • 2014 – Current: Professor & Dean, Faculty of Sciences and Technology (FEST), Adani University, Ahmedabad
  • 2022 – 2024: Associate Dean (Academics), Adani University, Ahmedabad
  • 2019 – Current: Head, Computer Science and Engineering (AI-ML), Adani Institute of Infrastructure Engineering, Ahmedabad Faculty of Engineering Sciences and Technology (FEST), Adani University, Ahmedabad
  • 2017 – 2021: Head, Information and Communication Technology, Adani Institute of Infrastructure Engineering, Ahmedabad Faculty of Engineering Sciences and Technology (FEST), Adani University, Ahmedabad
  • 2015 – 2024: Associate Professor, Computer Science and Engineering, Adani Institute of Infrastructure Engineering, Ahmedabad Faculty of Engineering Sciences and Technology (FEST), Adani University, 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

  • ACM
  • Lifetime Member – ISTE (LM 39191)

  • Reviewer – ACM transactions on Knowledge Discovery from Data (TKDD)
  • Reviewer – Journal of Information Science, SAGE Publishing
  • Session Chair – 4th International Conference on Futuristic Trends in Networks and Computing Technologies, Nirma University, 2022.
  • Session Chair – 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

Books

Articles

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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, 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.
  • Paresh Solanki and Hitesh Chhinkaniwala, Privacy Preserving Data Stream Mining Using Hybrid Geometric Data Perturbation, International Journal of Research in Electronics and Computer Engineering, Volume 5, Issue 3, 2017.
  • 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), Pages 1-4, IEEE Explore, 2017.
  • Khushbu Patel and Hitesh Chhinkaniwala, An Approach to Avoid Intruder Attack While Transmitting Large Message Over Insecure Channel, International Journal of Advance Research And Innovative Ideas In Education (IJARIIE), Volume 3, Issue 2, 2017.
  • Lokesh Gaglani and Hitesh Chhinkaniwala, Clustering Optimization using Hybrid IFA-PSO and Kernal-Based FCM, International Journal of Computer Applications in Engineering Sciences, Vol.6, No. 3, pp 24-28, ISSN 2231-4946, September 2016.
  • Darshna Patel and Hitesh Chhinkaniwala, Testing Methodologies and Exploring Challenges and Issues in Text Summarisation, International Journal of Data Mining & Emerging Technologies, Vol.5, No. 2, pp 73-84, ISSN 2249-3212, November 2015.
  • Nimesh Patel and Hitesh Chhinkaniwala, Investigating Issues and Challenges of Sentiment Analysis-Based Recommender System, International Journal of Data Mining & Emerging Technologies, Vol.5, No. 2, pp 85-97, ISSN 2249-3212, November 2015.
  • Hitesh Chhinkaniwala and Geetika Kalra, Hiding Sensitive Rules with Minimal Compromise of Data Utility, International Journal of Scientific and Research Publications, Vol. 4, No. 12, pp 1-10, IISN 2250-3153, December 2014.
  • Hitesh Chhinkaniwala, Aniket Patel and Sanjay Garg, Geometric Transformation Based Multiplicative Data Perturbation for Privacy Preserving Data Mining, 6th IEEE International Workshop on Computational Intelligence and Applications (IWCIA-2013), July 2013, Hiroshima, Japan.
  • Menka Patel and Hitesh Chhinkaniwala, Improvements in iKP Secure Payment Protocols for Mobile Devices, 2nd International Conference on Electrical, Electronics and Computer Science (ICEEC-2013). Hyderabad, India, June 2013.
  • Hitesh Chhinkaniwala, and Sanjay Garg, Privacy Gain Based Multi-Iterative k-Anonymization to Protect Respondents’ Privacy, International Journal of Computing, Vol.3, No. 2, pp 85-92, ISSN 2230-9039[online], 2231-2153[Print], May 2013.
  • Hitesh Chhinkaniwala, and Sanjay Garg, Tuple Value Based Multiplicative Data Perturbation Approach to Preserve Privacy in Data Stream Mining, International Journal of Data Mining & Knowledge Management Process (IJDKP), Vol. 3 No. 3, pp 53-61, ISSN 2230-9608[Online], 2231-007X[Print], May 2013.
  • Hitesh Chhinkaniwala, Kiran Patel and Sanjay Garg, Privacy Preserving Data Stream Classification Using Data Perturbation Techniques, In the proceedings of International Conference on Emerging Trends in Electrical, Electronics and Communication Technologies (ICECIT 2012), pp. 177-182, ISBN: 978-81-312-3411-2, December 2012, Andhra Pradesh, India. (Published by Elsevier)
  • Hitesh Chhinkaniwala, Bhavisha Suthar, and Sanjay Garg, Single Imputation based approaches for filling up missing values for large dataset, International Journal of Data Mining & Emerging Technologies, Vol.2, No. 2, ISSN 2249-3212, November 2012.
  • Hitesh Chhinkaniwala and Dr. Sanjay Garg, “Privacy Preserving Data Mining: Issues & Challenges”, International Conference on Computer Engineering & Information Technology (CSIT 2011), Bangalore, July 2011.
  • Hitesh Chhinkaniwala and K. M. Patel, Exploring Trend Beyond Transaction Barrier Using Modified FP-Tree Based Approach, International Journal of Advanced Engineering Technology (IJAET), Vol. 1 No. 1, ISSN: 0976-3945, February 2010.
  • Hitesh Chhinkaniwala and K. M. Patel, “Exploring Trend Beyond Transaction Barrier Using Modified FP-Tree Based Approach”, International Conference on Recent Trends in Soft Computing & Information Technology (RTSCIT’09), Bhopal, January 2010.
  • 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, August 2008.
  • Hitesh Chhinkaniwala and P. Santhi Thilagam, “Framework for Mining Inter-transaction Association Rules from Stock Market Data”, IADIS European Conference on Data Mining (ECDM – 2008), The Netherlands, 2008.

Find out more about Prof. Chhinkaniwala’s Publications –

  • Recognized PhD supervisor at Adani University, Gujarat Technological University, Ganpat University, C U Shah University
  • Board of Studies member at Gujarat Technological University, P P Savani University, Sankalchand Patel University, GSFC University
  • Doctorate Research Committee member at Gujarat Technological University, Ganpat University, Indus University, Parul University
  • M.Tech dissertation reviewer at Nirma University, Gujarat Technological University, Ganpat University