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Ronak Patel

Dr. Ronakkumar Patel

Designation: Assistant Professor (Selection Grade)

Biography:

Dr. Ronakkumar Patel is currently working as an Assistant Professor (Selection Grade) in the Department of Computer Science & Engineering, FEST at Adani University, Ahmedabad with over 13+ years of academic and research experience. He holds a Ph.D. in Computer Science & Engineering from Nirma University. He specializes in Recommender System, Machine Learning, Deep Learning and Operating System. He has authored/co-authored publications in Scopus and Web of Science indexed journals and Scopus-indexed conferences, including journal publications with reported impact factors of 8 and 6. His academic contributions also include student mentoring, project guidance, placement coordination, examination coordination, curriculum and academic activities, invited technical sessions, reviewing and session-chair responsibilities in national and International conferences.

  • Ph.D in Computer Science and Engineering, Nirma University, 2025.
  • M.Tech. in Computer Science and Engineering, Nirma University, 2013.
  • B.Tech. in Computer Engineering, Ganpat University, 2010.

  • Current : Assistant Professor (Selection Grade), Computer Science and Engineering (AI&ML), Faculty of Engineering Science and Technology (FEST), Adani University, Ahmedabad.
  • July 2013 to September 2026: Assistant Professor, Computer Engineering, CSPIT, Charotar University of Science and Technology (CHARUSAT), Anand.
  • June 2013 to July 2013: Lecturer, Computer Engineering, CSPIT, Charotar University of Science and Technology (CHARUSAT), Anand.

  • Machine Learning, Deep Learning, Recommender System, Agriculture

  1. Patel, R., Thakkar, P. (2024). IBCFaiCDR: Auxiliary data-driven item-based collaborative filtering in cross-domain recommender systems to address user cold start problem. Results in Engineering, 24, 103257. [SCOPUS & WOS Indexed | IF = 6]
  2. Patel, R., Thakkar, P., & Ukani, V. (2024). CNNRec: Convolutional neural network-based recommender systems — A survey. Engineering Applications of Artificial Intelligence, 133, 108062. [SCOPUS & WOS Indexed | IF = 8]
  3. Patel, R., Thakkar, P., & Kotecha, K. (2014). Enhancing movie recommender system. International Journal of Advanced Research in Engineering and Technology (IJARET).
  4. Patel, R., & Gajjar, T. Effective education environment using ICT. Proceedings of the Conference on Quest for Excellence in Teaching, Learning and Evaluation, CHARUSAT.

  1. Presented Paper on Multimodal hybrid recommender system using collaborative filtering and semantic textual-visual representation in 6th International Conference on Intelligent Vision and Computing (ICIVC 2026), Dehradun.
  2. Presented Paper on Deep feature fusion of ResNet50V2 and InceptionV3 for Computer-Aided Retinal Disease Classification in 11th International Conference on Information and Communication Technology (ICICT 2026), London, UK.
  3. Ardeshna, S., Patel, R., & Thakkar, P. (2024). Improving item-based collaborative filtering with vision transformers to address data sparsity. ICTCS 2024. Springer.
  4. Balse, R., et al. (2024). Video enhancement by progressive use of denoising and super-resolution. Recent Trends in Machine Learning, IoT, Smart Cities & Applications. Springer.
  5. Patel, D., et al. (2024). Impact of BERT on evaluating the quality of question papers using Bloom’s taxonomy. ICT4SD 2024. Springer.
  6. Jadeja, S., et al. (2024). LLM-enhanced collaborative filtering for personalized recommendation. World Conference on Information Systems for Business Management. ISBM 2024.
  7. Shah, S., & Patel, R. (2022). Imbibing auxiliary information using transfer learning to improve CF-based recommender system. ICTCS 2022. Springer
  8. Patel, R., & Thakkar, P. (2022). Addressing item cold start problem in CF-based recommender systems using auxiliary information. ICTIS 2022. Springer.
  9. Modi, R., & Patel, R. (2022). Improving CF-based recommender system with season and style features. WorldS4 2021. Springer
  10. Desai, S., Nayak, R., & Patel, R. (2020). Identifying plant diseases using deep convolutional neural networks. Recent Advances in Communication Infrastructure. Springer.

  1. Inspection Data Capture System for Rotomag Motors & Controls Pvt. Ltd., GIDC Estate, Vitthal Udyognagar, Anand – 388121.
  2. Smart Student Performance Monitoring System for Faculty of Technology and Engineering, CHARUSAT.

  1. Speaker at 10th International Conference on Frontiers of Signal Processing (ICFSP 2025), Paris, France.
  2. Expert talk on Machine Learning and Its Applications at Sardar Patel College of Engineering and Technology (SPEC), Bakrol, Anand. October 2025.
  3. Session conducted on Recommender Systems at SciPy India 2021, IIT Bombay.
  4. Workshop conducted at CSI Regional Student Convention, January 2020, CHARUSAT, Anand.
  5. Organized Endowment Chair of Dr. Aditya Nigam, Associate Professor at IIT Mandi in December 2023.
  6. Training session on Aptitude Session, Technical Brush Up session, Mock Drives etc. are conducted for UG students.
  7. Session Chairs in ICFSP 2025, Vietnam and SmartCom 2025, Pune India.

  • Top 5% nationally in NPTEL course ‘Python for Data Science’
  • Student mentored received Gold Award at Maker Fest Vadodara, January 2025 for ‘Green Field Machinery’.
  • Qualified GATE 2016 , 2012, 2011.

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