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  9. Dr. Diya Naresh Vadhwani

Dr. Diya Naresh Vadhwani

Designation: Assistant Professor

Biography:

Dr. Diya Naresh Vadhwani is an Assistant Professor in the Computer Science & Engineering Department at Adani University, Ahmedabad, with over eleven years of academic and research experience. Her expertise spans Machine Learning, AI, Data Science, Deep Learning, AI in healthcare, GEN-AI, Networking. She has published in reputed SCI journals and conferences including IEEE, Springer and Taylor & Francis, and has contributed multiple book chapters. Dr. Vadhwani is CCNA certified and has completed IBM & AWS courses in Machine Learning, Data Fundamentals and Cloud Technologies. She is a professional member of IEEE and ACM, has mentored SSIP-funded projects, received innovation awards, and attended an FDP on Generative AI conducted by IBM and many ATAL FDPs.

  • Ph.D. Computer Engineering, UKA TARSADIA University, 2023
  • M.Tech. Computer Science and Engineering, Rajiv Gandhi Proudyogiki Vishwavidyala, 2014
  • B.E. Computer Engineering, North Maharastra University, 2005

  • Assistant Professor, Adani University (From Jan-2024 till date)
  • Assistant Professor, New LJ, June 2023-December 2023
  • Assistant Professor (Contractual), VVP Rajkot, October 2021 – May 2023
  • Assistant Professor, BH Gardi, Rajkot, February 2021 – October 2021
  • Assistant Professor (Contractual), Sarvodaya college, Rajkot January 2020 – January 2021
  • Assistant Professor, UTU, Bardoli, July 2016 – May 2019
  • Assistant Professor (Contractual), March 2013 – November 2014
  • 11 years in other institutes (New-LJ, VVP Rajkot, UTU Bardoli)

  • Machine Learning
  • AI, Deep Learning
  • GEN-AI
  • IOT
  • Ai in Health Care
  • Networking
  • Data Mining & Science

  1. Diya Vadhwani & Devendra Thakor ” Prediction of extent of damage in vehicle during crash using improved XGBoost model Published in International Journal of Crashworthiness. (Taylors & Francis Scopus Index Journal) (May-2022) DOI: 10.1080/13588265.2022.2075101.
  2. Diya Vadhwani & Devendra Thakor ” Predictive analysis of injury severity of person across angle crashes using machine learning models Published in International Journal of Crashworthiness. (Taylors & Francis SCI/Scopus Index Journal) (Aug-2022) DOI: 10.1080/13588265.2022.2109772.
  3. Diya Vadhwani, Devendra Thakor An Improved XGBoost Model to Predict the Injury Severity of Person in Road Crash, International Journal of Crashworthiness (June-2024) (Taylors & Francis), (SCI).
  4. Ankit Kharwar, Diya Vadhwani, Dipak Dabhi and Vivaksha Jariwala Enhancing Intrusion Detection: Combining Logitboost Algorithms and Random Forest, Int. J. of Ad Hoc and Ubiquitous Computing. (SCI-Inderscience) (May-2025) https://doi.org/10.1504/IJAHUC.2025.146425.
  5. Diya Vadhwani, “Prediction of Injury Severity using XGBoost for Classification and Random Forest for Features Selection”, Transportation Safety and Environment. Journal By Oxford University Press, Scopus, ESCI indexed. (Under Revision:2) (Nov-2025).

  1. Vadhwani Diya Naresh, Megha Singh, and Deepak Kulhare. “Enhanced DSR with optimized throughput using opnet simulator.” In 2013 Nirma University International Conference on Engineering (NUiCONE), pp. 1-4. IEEE, 2013. 78-1-4673-1719-1/12/$31.00©2013IEEE
  2. Vadhwani Diya Naresh, “Review on Object Tracking Sensor Network with Data Mining Algorithms”, IEEE International Conference on Soft Computing & its Engineering Application, Dec 1,2 2017 (CHARUSAT, CHANGA)
  3. Vadhwani Diya Naresh and Sanjay Buch. “A Novel Approach for the ITS Application to Prevent Accidents using Wireless Sensor Network, IoT and VANET.” In 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), pp. 1-7. IEEE, 2019.
  4. VadhwaniD iya and Devendra Thakor. “Statistical analysis of vehicle detection in the ITS application for monitoring the traffic and road accident using internet of things.” In Advances in VLSI and Embedded Systems, pp. 55-70. Springer, Singapore, 2020.
  5. Vadhwani Diya and Devendra Thakor. “Comparative Analysis of Statistical Methods for Vehicle Detection in the Application of ITS for-Monitoring Traffic and Road Accidents Using IoT.” In Data Science and Intelligent Applications, pp. 355-361. Springer, Singapore, 2021. Springer Singapore.
  6. Vadhwani Diya, and Devendra Thakor. “Analysis of the Statistical Methods for Vehicle Detection in the Accident Avoidance System An Application of ITS.” 4th International Conference on “Futuristic Trends in Networks and Computing Technologies (FTNCT 2021)” DECEMBER 10-11, 2021. Springer Singapore, 2022. 105-124 DOI: 10.1007/978-981-19-5037-7-8.
  7. Diya Vadhwani, Ankit Kharvar, Dipak Dabhi, A rigorous comparative assessment of feature selection techniques for forecasting road traffic accident severity, 5th International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT 2024) SVNIT-Surat, Publisher: Springer.

  1. Vadhwani, Diya and Devendra Thakor. “Statistical analysis of vehicle detection in the ITS application for monitoring the traffic and road accident using internet of things.” In Advances in VLSI and Embedded Systems, pp. 55-70. Springer, Singapore, 2020.
  2. Vadhwani, Diya and Devendra Thakor. “Comparative Analysis of Statistical Methods for Vehicle Detection in the Application of ITS for-Monitoring Traffic and Road Accidents Using IoT.” Data Science and Intelligent Applications DOI: 10.1007/978-981-15-4474-3, Lecture Notes on Data Engineering and Communications Technologies, Publisher: Springer Singapore.
  3. Vadhwani Diya, and Devendra Thakor. “Analysis of the Statistical Methods for Vehicle Detection in the Accident-Avoidance System An Application of ITS.” Futuristic Trends in Networks and Computing Technologies eBook ISBN 978-981-19-5037-7, Springer Singapore, 2022. 105-124, DOI: 10.1007/978-981-19-5037-7-8.
  4. Diya Vadhwani, Devendra Thakor, Darshana Patel, “A novel approach for vehicle detection to avoid accidents in the construction area”, Intelligent Green Communication Network for Internet of Things (Taylors and Fransis-Ebook), eBook Published : 29 May 2023, CRC Press DOI : https://doi.org/10.1201/9781003371526, DOI-Chapter: 10.1201/9781003371526-14.
  5. Diya Vadhwani, Ankit Kharvar, Dipak Dabhi, A Rigorous Comparative Assessment of Feature Selection Techniques for Forecasting Road Traffic Accident Severity, Advanced Engineering Optimization Through Intelligent Techniques, Series Title: Lecture Notes in Electrical Engineering DOI: https://doi.org/10.1007/978-981-96-8070-2 Publisher: Springer Singapore.

  1. SSIP: Research Project Mentor: AI for Early Detection of Mental Health Disorders (Schizophrenia, ADHD, Bipolar Disorder)
    • Team Leader: Mr. Yajurva Patel
    • Grant Approved: ₹2,50,000/-
  2. Drive Intel: AI-Powered Vehicle Safety & Collision Prevention System
    • Team Leader: Mr. Ved Parmar
    • Grant Approved: ₹2,50,000/-
  3. PNG Leakage Detection System
    • Team Leader: Mr. Kirtan Saraiya
    • Grant Approved: ₹1,45,000/-
  4. Received Grant by Gujcost for Project “Beltroid Data Transfer System (2014)

  1. Workshop on IoT
  2. IEEE AISYWLC 2025 (As Core Registration Team) (Date:31/10/2025 to 2/11/2025)
  3. Industry Visit
  4. AICTE and UGC events like a. Session on Cyber security awaresness b.NMBA Plegde c. 150 Years of Vande Mataram. d. 75th Constitution Day e. Swasth Gujarat Abhiyan

  • M.Tech Topper institute level
  • Cisco Certified for CCNA Routing and Switching
  • MASTER Trainer in “BOSCH Industrial Automation Training
  • Received “India Innovation Challenge Design Contest-2018” award by the Department of Science and Technology (DST) and Texas Instruments in 2018.
  • Received “India Innovation Challenge Design Contest-2018” award by the Department of Science and Technology (DST) and Texas Instruments in 2019

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