Dr Nidhi Rajesh Mavani

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Dr Nidhi Rajesh Mavani

  • Post-Doctoral Research Fellow
  • School of Engineering
Faculty of Engineering and Technology
Google Scholar ORCID Scopus ResearchGate Web of Science
SDGs Focus
Industry, Innovation and Infrastructure
Responsible Consumption and Production

Biography

Dr. Nidhi Rajesh Mavani is a Postdoctoral Research Fellow with research interests in artificial intelligence, machine learning, fuzzy logic, deep learning, and data-driven decision systems. She obtained her PhD in Chemical Engineering from Universiti Kebangsaan Malaysia (UKM), where her research focused on hybrid AI models for intelligent decision-making. Her work has resulted in publications in high-impact international journals and the development of practical AI-based decision support systems.

Academic & Professional Qualifications

  • PhD – Chemical Engineering, Universiti Kebangsaan Malaysia, Malaysia (2025)
  • MSc – Chemical Engineering, Universiti Kebangsaan Malaysia, Malaysia (2022)
  • B.Eng. – Chemical Engineering, Universiti Kebangsaan Malaysia, Malaysia (2019)

Research Interests

  • Artificial Intelligence
  • Machine Learning
  • Fuzzy Logic
  • Deep Learning
  • Food Authentication
  • Data-Driven Decision Systems

Notable Publications

  1. 2026 - Development of Fuzzy Logic Algorithm for Predicting Heavy Metal Content in Poultry Product, Science of The Total Environment (2026).
  2. 2025 - A Graphical User Interface for Determining the Safe Consumption of Food Based on the Concentration of SD, BA, and SA, ASEAN Journal of Process Control (2025). 
  3. 2025 - Fuzzy Logic-Based Approach for Porcine DNA Determination in Meat Products, npj Science of Food (2025).
  4. 2024 - Fuzzy Logic-Based Barcode Scanning System for Food Products Halal Identification, Food Control (2024).
  5. 2024 - Determining Food Safety in Canned Food Using Fuzzy Logic Based on Sulphur Dioxide, Benzoic Acid, and Sorbic Acid Concentration, Heliyon (2024). 
  6. 2023 - Artificial Intelligence-Based Techniques for Adulteration and Defect Detections in Food and Agricultural Industry: A Review, Journal of Agriculture and Food Research (2023).
  7. 2021 - Fuzzy Mamdani-Based User-Friendly Interface for Food Preservatives Determination, Food and Bioproducts Processing (2021).
  8. 2021 - Application of Artificial Intelligence in Food Industry – A Guideline, Food Engineering Reviews (2021).

Achievements & Accolades

Achievements

  1. Excellence Thesis Award (PhD) 2025
  2. Merit Award – Best Thesis (PhD), MSAE 2025
  3. Graduate on Time (GOT) - PhD 2025
  4. Silver Medal – International Nanotechnology Olympiad 2024
  5. Best Group Presentation – Oil & Gas Mentoring Program 2024
  6. Dean's List (2019)

Grants

  1. Researcher/Graduate Research Assistant under FRGS project.

Projects

  1. Development of a Hybrid Fuzzy Logic–Deep Neural Network (FL–DNN) Model for Porcine DNA Detection
  2. Development of a Fuzzy Logic Algorithm for Food Safety Assessment Based on Preservative Concentrations

Professional Associations

  1. Graduate Engineer, Board of Engineers Malaysia (BEM)
  2. Graduate Technologist, Malaysia Board of Technologists (MBOT)
  3. Member of Malaysian Process Control Society (MyPCS)
  4. Member of Malaysian Society of Agricultural and Food Engineers (MSAE)