Male, from Multan, Punjab, Pakistan, born in 1989, holds a doctorate from Anhui University, Hefei, China, 2022, funded by the China Scholarship Council. Following his PhD, he completed his Postdoctoral Fellowship at the School of Mathematical Sciences, Zhenjiang Normal University, Jinhua, China (November 2024). He is currently working as a postdoctoral researcher at Nantong University, conducting research on group decision-making, artificial intelligence, risk assessment and management, intelligent computing, fuzzy information integration and management decision-making. In addition, he completed his Master's in Applied Mathematics from Government College University, Faisalabad, Pakistan, in 2017 and a BS(Hons) in Mathematics from the Bahauddin Zakariya University, Multan, Pakistan. His academic journey reflects a strong commitment to advancing knowledge in mathematics and its applications to real-world problems. He has presented his research at numerous national and international conferences in China and Pakistan, contributing to the global discourse on mathematics and artificial intelligence. His interdisciplinary research and collaborative approach continue to make significant contributions to his field.
基于模糊决策的科研启动经费(YS304023915)，2023年3月-2024年11月，100,000元
[1] Gurmani, S. H., Ding W., Zulqarnain R. M. Hao J. Cubic linguistic T-spherical fuzzy aggregation operator-based multi-attribute group decision-making model and its application to food waste treatment technique selection. Engineering Applications of Artificial Intelligence, (2025), 161: 112111. (SCI, 中科院一区, TOP)
[2] Gurmani, S. H., Khan M. J., Ding, W., Zulqarnain R. M. Aczel–Alsina operations‐based linguistic q-rung orthopair fuzzy aggregation operators and their application to site selection of electric vehicle charging station. Engineering Applications of Artificial Intelligence, (2025), 154: 110989. (SCI, 中科院一区, TOP)
[3] Gurmani, S. H., Rasool, Z., Ali, R., Bano, S., Chen, H., Feng, Y. Zulqarnain, R. M. Linguistic Pythagorean fuzzy Aczel–Alsina aggregation operators and their application in multi-attribute group decision‐making: An approach for smart city development. Engineering Applications of Artificial Intelligence, (2025), 156: 111215. (SCI, 中科院一区, TOP)
[4] Gurmani, S. H., Garg, H., Chen, H., Tao, Z., & Zhang, Z. Optimizing performance evaluation of green supply chain management practices with linguistic q-rung orthopair fuzzy information. Applied Soft Computing, (2025), 176: 113194. (SCI, 中科院二区, TOP)
[5] Gurmani, S.H., Shangfeng, Z., Fuad, A.A. et al. Combinative distance‑based assessment method using linguistic T-spherical fuzzy aggregation operators and its application to multi-attribute group decision-making. Engineering Applications of Artificial Intelligence, (2024), 133: 108165. (SCI, 中科院一区, TOP)
[6] Rasool, Z., Gurmani, S. H*., (Corresponding author) Niazai, S., Zulqarnain, R. M., Alballa, T., & Khalifa, H. A. E. W. An integrated CRITIC and EDAS model using linguistic T spherical fuzzy Hamacher aggregation operators and its application to group decision making. Scientific Reports, (2025), 15(1): 6122. (SCI, 中科院三区, TOP)
[7] Gurmani, S.H., Garg, H., Zulqarnain, R.M. et al. Selection of unmanned aerial vehicles for precision agriculture using interval-valued q-rung orthopair fuzzy information based TOPSIS method. International Journal of Fuzzy Systems, (2023). https://doi.org/10.1007/s40815-023-01568-0. (SCI, 中科院三区)
[8] Gurmani, S.H., Zhang, Z., Zulqarnain, R.M. et al. An interaction and feedback mechanism-based group decision-making for emergency medical supplies supplier selection using T-spherical fuzzy information. Scientific Reports, (2023), 13: 8726. (SCI, 中科院三区, TOP)
[9] Gurmani, S.H., Zhang, Z., Zulqarnain, R.M. An integrated group decision-making technique under interval-valued probabilistic linguistic T-spherical fuzzy information and its application to the selection of cloud storage provider. AIMS Mathematics, (2023), 8(9): 20223-20253. (SCI, 中科院二区, TOP)
[10] Gurmani, S. H., Chen, H., Bai, Y. Multi-attribute group decision-making model for selecting the most suitable construction company using the linguistic interval-valued T-spherical fuzzy TOPSIS method. Applied Intelligence, (2023), 53: 11768–11785. (SCI, 中科院二区, TOP)
[11] Gurmani, S. H., Chen, H., Bai, Y. Extension of TOPSIS method under q-Rung orthopair fuzzy hypersoft environment based on correlation coefficients and its applications to multi-attribute group decision making. International Journal of Fuzzy Systems, (2022), 25(2): 1-14. (SCI, 中科院三区)
[12] Gurmani, S. H., Chen, H., Bai, Y. Dombi operations for linguistic T-spherical fuzzy number: an approach for selection of the best variety of maize. Soft Computing, (2022), 26:9083-9100. (SCI, 中科院三区)
[13] Gurmani, S. H., Chen, H., Bai, Y. An extended MABAC method for multiple-attribute group decision making under probabilistic T-spherical hesitant fuzzy environment. Kybernetes, (2022), 52(10): 4041-4060. (SCI, 中科院三区)
[14] Gurmani, S. H., Chen, H., Bai, Y. The operational properties of linguistic interval valued q-rung orthopair fuzzy information and its VIKOR model for multi-attribute group decision making. Journal of Intelligent & Fuzzy systems, (2021), 41: 7063–7079. (SC, 中科院三区)
[15] Zulqarnain, R.M., Siddique, I., Mahboob, A., Ahmed H., Sameh A. and Gurmani*, S. H. (Corresponding author) Optimizing construction company selection using Einstein weighted aggregation operators for q-rung orthopair fuzzy hypersoft set. Scientific Reports, (2023), 13: 6511. (SCI, 中科院三区]
[16] Zulqarnain, R. M., ur Rehman, H. K., Siddique, I., Ahmad, H., Askar, S., & Gurmani*, S. H. (Corresponding author) Einstein Hybrid Structure of q-Rung Orthopair Fuzzy Soft Set and Its Application for Diagnosis of Waterborne Infectious Disease. Computer Modelling iin Engineering & Sciences, (2023), 1-30. (SCI, 中科院三区)
[17] Mushtaq, I., Siddique, I., Eldin, S. M., Majdoubi, J., Gurmani, S. H., Samar, M., and Zulqarnain, R. M. (2023). Prioritization of thermal energy storage techniques based on Einstein-ordered aggregation operators of q-rung orthopair fuzzy hypersoft sets. Frontiers in Energy Research,https://doi.org/10.3389/fenrg.2023.1119463. (SCI, 中科院三区)
[18] Zulqarnain, R. M., Siddique, I., Asif, M., Ahmad, H., Askar, S., & Gurmani*, S. H. (Corresponding author) Extension of correlation coefficient based TOPSIS technique for interval-valued Pythagorean fuzzy soft set: A case study in extract, transform, and load techniques. PLOS ONE, (2023), 18(10): e0287032. (SCI, 中科院三区)
[19] Zulqarnain, R. M., Siddique, I., Eldin, S. M., and Gurmani, S. H. Extension of Interaction Aggregation Operators for the Analysis of Cryptocurrency Market Under q-Rung Orthopair Fuzzy Hypersoft Set. IEEE Access, (2022), 10: 126627-126650. (SCI, 中科院三区)
[20] Wang, P., Gurmani, S. H., Tao, Z., Liu, J., & Chen, H. (2023). Interval time series forecasting: A systematic literature review. Journal of Forecasting, 1–37. https://doi.org/10.1002/for.3024. (SCI, 中科院三区)
[21] Zulqarnain, R. M., Ma, W. X., Siddique, I., Gurmani, S. H., & Ahamad, M. I. Extension of aggregation operators to site selection for solid waste management under neutrosophic hypersoft set. AIMS Mathematics, (2023), 8(2): 4168-4201. (SCI, 中科院二区)
[1] Member of the China Computer Federation
[2] Member of the Pakistan Mathematical Society
