Dr. Divya Zindani
Assistant Professor
Mechanical Engineering
Educational Qualifications
- 2021, Ph.D – Mechanical Engineering, NIT Silchar
- 2016, M.E – Birla Institute of Technology, Mesra
Dr. Divya Zindani earned his Ph.D. in Materials and Optimization from the National Institute of Technology Silchar in 2021. His doctoral research, titled “A Prospect Theory Approach for Green and Sustainable Technologies: Material Selection Perspective,” focused on developing decision-support frameworks for sustainable material and technology selection under uncertainty, vagueness and varying risk preferences. His Ph.D. research combined methodological development with experimental validation in sustainable materials and green manufacturing. His work included material selection, the development and characterization of bio-based composites reinforced with agro-waste, optimization of reinforcement conditions for green product development, and the assessment of sustainable manufacturing and energy-related technologies. Following the completion of his Ph.D., he joined the Department of Mechanical Engineering at SSN College of Engineering as an Assistant Professor, where he contributed to teaching, research and institutional activities. Through his research, Dr. Divya Zindani seeks to bridge computational intelligence and practical engineering by developing robust, explainable and sustainability-oriented frameworks that account for technical performance, environmental considerations, uncertainty and human risk preferences.
Work Experience
- 2026 – Till date, Assistant Professor, Department of Mechanical Engineering, SSN School of Engineering, Shiv Nadar University Chennai
- 2021 – 2026, Assistant Professor, Department of Mechanical Engineering, SSN College of Engineering
- 2012 – 2014, Engineer-planning and design, Adicon Projects Pvt. Ltd.
Publications
Number of papers: 32; No. of Design Registrations: 17; Number of books: 18; Number of book chapters: 29; Number of conferences: 25.
- Kumar, R., Jagadish; Zindani, D., & Bhowmik, S. (2026). Tensile properties prediction of WFRP composite based on machine learning and ANN models: An experimental and statistical approach. Journal of Materials Engineering and Performance, 1–14.
- Bhowmik, C., Zindani, D., Chatterjee, P., Marinkovic, D., & Šliogerienė, J. (2025). Evaluation of green energy sources: An extended fuzzy-TODIM approach based on Schweizer-Sklar and power averaging operators. Facta Universitatis, Series: Mechanical Engineering, 23(3), 627–648.
- Dhiman, B., Zindani, D., Akileshwaran, E., Singh, G., Chakarabarti, D., & Chaudhury, M. K. (2024). Decision-making frameworks for assessment of small-scale off-grid photovoltaic home system-based design concepts in rural context of North-East India. Journal of Cleaner Production, 478, Article 143893.
- Singh, R. R., Zindani, D., & Maity, S. R. (2024). A novel fuzzy-prospect theory approach for hydrogen fuel cell component supplier selection for automotive industry. Expert Systems with Applications, 246, Article 123142.
- Kumar, S., Saha, A., & Zindani, D. (2024). Agro-waste-based polymeric composite laminates for aerospace cabin interior and identification of their optimal configuration. Biomass Conversion and Biorefinery, 14(24), 31907–31923.
- Dhiman, B., Zindani, D., Chakrabarti, D., & Singh, G. (2023). A user-centric assessment of solar-photovoltaic-home-lighting systems in rural parts of Assam, India. Energy for Sustainable Development, 76, 101290.
- Zindani, D., Maity, S. R., & Bhowmik, S. (2022). A novel decision-making tool for performance evaluation of vegetable oils used as heat transfer fluids in concentrated solar power plants. Environment, Development and Sustainability, 24(11), 13334–13377.
- Zindani, D., Maity, S. R., & Bhowmik, S. (2021). Extended TODIM method based on normal wiggly hesitant fuzzy sets for deducing optimal reinforcement condition of agro-waste fibers for green product development. Journal of Cleaner Production, 301, Article 126947.
- Saha, A., Kumar, S., & Zindani, D. (2021). Investigation of the effect of water absorption on thermomechanical and viscoelastic properties of flax‐hemp‐reinforced hybrid composite. Polymer Composites, 42(9), 4497–4516.
- Zindani, D., & Kumar, K. (2019). An insight into additive manufacturing of fiber reinforced polymer composite. International Journal of Lightweight Materials and Manufacture, 2(4), 267–278.
Awards
- Stanford/Elsevier World Top 2% Scientist, 2025
Area of Research
- Polymeric Materials (Fracture analytics, Electro-mechanical studies, cryogenic investigation)
- Artificial Intelligence and Machine Learning
- Fuzzy logic-based Decision-support systems
- Predictive analytics (Operations Research)
- Soft Computing
Links
Google Scholar Profile: https://scholar.google.com/citations?user=umMl7bwAAAAJ&hl=en
