Publications

Journal Publications

2023

1. Sarfaraz, Bisma, Bilal Kazmi, Syed Ali Ammar Taqvi, Faizan Raza, Rushna Rashid, Leenah Siddiqui, Syeda Fatima Zehra, Awais Bokhari, Jiří Jaromír Klemeš, and Mohamed Ouladsmane. "Thermodynamic evaluation of mixed refrigerant selection in dual mixed refrigerant NG liquefaction process with respect to 3E's (Energy, Exergy, Economics)." Energy 283 (2023): 128409. (https://doi.org/10.1016/j.energy.2023.128409). (IF: 9.0)

2. Kazmi, Bilal, Syed Ali Ammar Taqvi, Salman Raza Naqvi, Asif Ali Mirani, Muhammad Shahbaz, Muhammad Naqvi, Dagmar Juchelková, and Gaber E. Eldesoky. "Techno-economic assessment of sunflower husk pellets treated with waste glycerol for the Bio-Hydrogen production–A Simulation-based case study." Fuel 348 (2023): 128635. (https://doi.org/10.1016/j.fuel.2023.128635)  (IF: 8.035)

3. Syed Ali Ammar Taqvi, Haslinda Zabiri, Salvinder Kaur Marik Singh, Lemma Dendena Tufa, and Muhammad Naqvi. "Investigation of control performance on an absorption/stripping system to remove CO2 achieving clean energy systems." Fuel 347 (2023): 128394. (https://doi.org/10.1016/j.fuel.2023.128394). (IF: 8.035)

4. Syed Muhammad Mustafa, Syed Ali Ammar Taqvi, Mahwish Mobeen Khan, Haslinda Zabiri, Danial Qadir, Mohamed Ouladsmane, and Ahmed Sayed M. Metwally. "Techno-economic sustainability assessment for bio-hydrogen production based on hybrid blend of biomass: A simulation study." Fuel 347 (2023): 128458. (https://www.sciencedirect.com/science/article/pii/S0016236123010712) (IF: 8.035)

5. Kazmi, Bilal, Syed Ali Ammar Taqvi, and Dagmar Juchelková. "State-of-the-art review on the steel decarbonization technologies based on process system engineering perspective." Fuel 347 (2023): 128459. (https://www.sciencedirect.com/science/article/pii/S0016236123010724). (IF: 8.035)

6. Mehdi, Muzaffar, Syed Ali Ammar Taqvi, Asif Ahmed Shaikh, Saad Khan, Salman Raza Naqvi, Muhammad Shahbaz, and Dagmar Juchelková. "Aspen plus simulation model of municipal solid waste gasification of metropolitan city for syngas production." Fuel 344 (2023): 128128. (https://doi.org/10.1016/j.fuel.2023.128128) (IF: 8.035)

7. Saidatul Hasniza, M. Shahid, H. Zabiri, and Syed Ali Ammar Taqvi. "Semi-Supervised Adaptive PLS Soft-Sensor With PCA-Based Drift Correction Method For Online Valuation Of NOx Emission In Industrial Water-Tube Boiler." Process Safety and Environmental Protection (2023). (https://doi.org/10.1016/j.psep.2023.02.080). (IF: 7.926)

8. Danish, Mohd, Syed Mohd Yahya, Syed Ali Ammar Taqvi, Saeed Rubaiee, Anas Ahmed, Sayed Ameenuddin Irfan, and Mustafa Alsaady. "Modelling and optimization study to improve the filtration performance of fibrous filter." Chemosphere 314 (2023): 137667. (https://doi.org/10.1016/j.chemosphere.2022.137667). (IF: 8.943)

9. Ellaf, Aisha, Syed Ali Ammar Taqvi, Durreshehwar Zaeem, Faizan Ul Haque Siddiqui, Bilal Kazmi, Alamin Idris, Razan A. Alshgari, and Mohammed Sheikh Saleh Mushab. "Energy, exergy, economic, environment, exergo-environment based assessment of amine-based hybrid solvents for natural gas sweetening." Chemosphere 313 (2023): 137426. (https://doi.org/10.1016/j.chemosphere.2022.137426). (IF: 8.943)

10. Naqvi, Salman Raza, Zahid Ullah, Syed Ali Ammar Taqvi, Muhammad Nouman Aslam Khan, Wasif Farooq, Muhammad Taqi Mehran, Dagmar Juchelková, and Libor Štěpanec. "Applications of machine learning in thermochemical conversion of biomass-A review." Fuel 332 (2023): 126055. (https://doi.org/10.1016/j.fuel.2022.126055). (IF: 8.035)

2022

11. Kazmi, Bilal, Junaid Haider, Syed Ali Ammar Taqvi, Syed Imran Ali, Muhammad Abdul Qyyum, Vijay Mohan Nagulapati, and Hankwon Lim. "Tetracyanoborate anion–based ionic liquid for natural gas sweetening and DMR-LNG process: Energy, exergy, environment, exergo-environment, and economic perspectives." Separation and Purification Technology 303 (2022): 122242. https://doi.org/10.1016/j.seppur.2022.122242. (IF: 9.136)

12. Asif, Khadija, Serene Sow Mun Lock, Syed Ali Ammar Taqvi, Norwahyu Jusoh, Chung Loong Yiin, and Bridgid Lai Fui Chin. "A molecular simulation study on amine-functionalized silica/polysulfone mixed matrix membrane for mixed gas separation." Chemosphere 311 (2023): 136936. https://doi.org/10.1016/j.chemosphere.2022.136936 (IF: 8.943)

13. Kazmi, Bilal, Junaid Haider, Syed Ali Ammar Taqvi, Syed Imran Ali, Muhammad Abdul Qyyum, Vijay Mohan Nagulapati, and Hankwon Lim. "Tetracyanoborate anion–based ionic liquid for natural gas sweetening and DMR-LNG process: Energy, exergy, environment, exergo-environment, and economic perspectives." Separation and Purification Technology 303 (2022): 122242. https://doi.org/10.1016/j.seppur.2022.122242. (IF: 9.136)

14. Asif, Khadija, Serene Sow Mun Lock, Syed Ali Ammar Taqvi, Norwahyu Jusoh, Chung Loong Yiin, and Bridgid Lai Fui Chin. "A molecular simulation study on amine-functionalized silica/polysulfone mixed matrix membrane for mixed gas separation." Chemosphere 311 (2023): 136936. https://doi.org/10.1016/j.chemosphere.2022.136936 (IF: 8.943)

15. Muzammil khan, Salman Raza Naqvi, ZahidU llah, Syed Ali Ammar Taqvi, Nouman Aslam Khan, Wasif Farooq, Taqi Mehran, M., Juchelková, D., & Štěpanec, L. (2023). Applications of machine learning in thermochemical conversion of biomass-A review. Fuel, 332, 126055. https://doi.org/10.1016/j.fuel.2022.126055 (IF: 8.035)

16. Bilal Kazmi, Syed Ali Ammar Taqvi, Faizan Raza, Junaid Haider, Salman Raza Naqvi, Muhammad Saad Khan, Abulhassan Ali, "Exergy, advance exergy, and exergo-environmental based assessment of alkanol amine- and piperazine-based solvents for natural gas purification", Chemosphere, (2022): 136001, https://doi.org/10.1016/j.chemosphere.2022.136001. (IF: 8.943)

17. Arshad, Ushtar, Syed Ali Ammar Taqvi, and Azizul Buang. "Experimental analysis and data-driven machine learning modelling of the minimum ignition temperature (MIT) of aluminium dust." Fuel 324 (2022): 124569. https://doi.org/10.1016/j.fuel.2022.124569. (IF: 8.035)

18. Kok, Tze Lin, Chris Aldrich, Haslinda Zabiri, Syed Ali Ammar Taqvi, and Jacques Olivier. "Application of unthresholded recurrence plots and texture analysis for industrial loops with faulty valves." Soft Computing (2022): 1-16. https://doi.org/10.1007/s00500-022-06894-3. (IF: 3.643)

19. Rubab, Saddaf, Malik M. Khan, Fahim Uddin, Yawar Abbas Bangash, and Syed Ali Ammar Taqvi. "A Study on AI‐based Waste Management Strategies for the COVID‐19 Pandemic." ChemBioEng Reviews 9, no. 2 (2022): 212-226. https://doi.org/10.1002/cben.202100044. (IF: 6.207)

20. Ali, Husnain, Abdulhalim Shah Maulud, Haslinda Zabiri, Muhammad Nawaz, Humbul Suleman, and Syed Ali Ammar Taqvi. "Multiscale Principal Component Analysis-Signed Directed Graph Based Process Monitoring and Fault Diagnosis." ACS Omega 7, No. 11 (2022): 9496-9512. https://doi.org/10.1021/acsomega.1c06839. (IF: 4.132)

21. Hashmi, Saud, Syed Ali Ammar Taqvi, Zainul Abideen, Jazib Pervaiz Ahmed, Muhammad Talha, Muhammad Amir Bhatti, Haris Shahid, Salman Raza Naqvi, and Fares Almomani. "Simulation of steam gasification of halophyte biomass for syngas production using Aspen Plus®." Biomass Conversion and Biorefinery (2022): 1-10. https://doi.org/10.1007/s13399-022-02429-w (IF: 4.050)

22. Syed Ali Ammar Taqvi, H., Uddin, F., Naqvi, M., Tufa, L. D., Kazmi, M., ... & Maulud, A. S. (2022). Simultaneous fault diagnosis based on multiple kernel support vector machine in a non-linear dynamic distillation column. Energy Science & Engineering.  https://onlinelibrary.wiley.com/doi/full/10.1002/ese3.1058 (IF: 4.170)

23. Naqvi, S. R., Syed Ali Ammar Taqvi, Khoja, A. H., Ali, I., Mehran, M. T., FAROOQ, W., ... & Atabani, A. Valorization of Wet Oily Petrochemical Sludge via Slow Pyrolysis: Thermo-Kinetics Assessment and Artificial Neural Network Modelling. Frontiers in Energy Research, 964.  https://www.frontiersin.org/articles/10.3389/fenrg.2021.782139/full (IF: 4.008)

24. Fatima, S. A., Zabiri, H., Syed Ali Ammar Taqvi, S. A. A., Ramli, N., & Maulud, A. S. Intelligent Control of an Industrial Debutanizer Column. Chemical Engineering & Technology. https://onlinelibrary.wiley.com/doi/abs/10.1002/ceat.202100039 (IF: 1.75)

25. Khan, M. A., Naqvi, S. R., Syed Ali Ammar Taqvi, Shahbaz, M., Ali, I., Mehran, M. T., ... & Juchelková, D. (2021). Air gasification of high-ash sewage sludge for hydrogen production: Experimental, sensitivity and predictive analysis. International Journal of Hydrogen Energy. https://doi.org/10.1016/j.ijhydene.2021.11.192 (IF: 5.816)

26. Abdalla, M. E., Abdalla, S.A. Syed Ali Ammar Taqvi, A., Naqvi, S. R., & Chen, W. H. (2022). Investigation of Biomass Integrated Air Gasification Regenerative Gas Turbine Power Plants. Energies, 15(3), 741. https://www.mdpi.com/1996-1073/15/3/741 (IF: 3.004)

2021

27. Kazmi, B., Taqvi, Syed Ali Ammar Taqvi, Syed Imran Ali (2022), Ionic Liquid Assessment as Suitable Solvent for Biogas Upgrading Technology Based on the Process System Engineering Perspective. CBEN. https://doi.org/10.1002/cben.202100036. (IF: 6.207)

28. Kazmi, Bilal, Junaid Haider, Syed Ali Ammar Taqvi, Muhammad Abdul Qyyum, Syed Imran Ali, Zahoor Ul Hussain Awan, Hankwon Lim, Muhammad Naqvi, and Salman Raza Naqvi. "Thermodynamic and economic assessment of cyano functionalized anion based ionic liquid for CO2 removal from natural gas integrated with, single mixed refrigerant liquefaction process for clean energy." Energy (2021): 122425. https://doi.org/10.1016/j.energy.2021.122425 (IF: 7.14)

29. Syed Ali Ammar Taqvi and Bilal Kazmi,  "Green Insights on Biogas Processing Technologies” J Bioprocess Biotech 12 (2021): 495. https://www.hilarispublisher.com/open-access/green-insights-on-biogas-processing-technologies.pdf 

30. Asif, Khadija, Serene Sow Mun Lock, Syed Ali Ammar Taqvi, Norwahyu Jusoh, Chung Loong Yiin, Bridgid Lai Fui Chin, and Adrian Chun Minh Loy. 2021. "A Molecular Simulation Study of Silica/Polysulfone Mixed Matrix Membrane for Mixed Gas Separation" Polymers 13, no. 13: 2199. https://doi.org/10.3390/polym13132199.  (IF: 4.213)

31. Arshad, U., Syed Ali Ammar Taqvi., Buang, A., & Awad, A. (2021). SVM, ANN, and PSF modeling approach for prediction of iron dust minimum ignition temperature (MIT) based on the synergistic effect of dispersion pressure and concentration. Process Safety and Environmental Protection. https://doi.org/10.1016/j.psep.2021.06.001  (IF: 4.699)

32. Syed Ali Ammar Taqvi, Naqvi, M., Ilyas, S. U., Moshin, A., Inamullah, F., & Naqvi, S. R. "Process system analysis on oil processing facility and economic viability from oil well-to-tank." SN Applied Sciences 3.7 (2021): 1-11. https://link.springer.com/article/10.1007/s42452-021-04635-z 

33. Kazmi, B., Raza, F., Syed Ali Ammar Taqvi, Ali, S. I., & Suleman, H. Energy, exergy and economic (3E) evaluation of CO2 capture from natural gas using pyridinium functionalized ionic liquids: a simulation study. Journal of Natural Gas Science and Engineering, 103951, (2021), https://doi.org/10.1016/j.jngse.2021.103951 (IF:3.841)

34. Syed Ali Ammar Taqvi, Zabiri, H., Tufa, L.D., Uddin, F., Fatima, S.A. and Maulud, A.S. (2021), A Review on Data‐Driven Learning Approaches for Fault Detection and Diagnosis in Chemical Processes. CBEN. https://doi.org/10.1002/cben.202000027, (February 2021) (IF: 3.84)

35. Tazien Rashid, Syed Ali Ammar Taqvi, Farooq Sher, Saddaf Rubab, Murugesan Thanabalan, Muhammad Bilal, Badar ul Islam, "Enhanced lignin extraction and optimisation from oil palm biomass using neural network modelling," Fuel, Volume 293, 2021, https://doi.org/10.1016/j.fuel.2021.120485. (IF: 5.578)

36. Arshad, Ushtar, Syed Ali Ammar Taqvi, and Azizul Buang. "Modelling of the Minimum Ignition Temperature (MIT) of Corn Dust using Statistical Analysis and Artificial Neural networks based on the Synergistic Effect of Concentration and Dispersion Pressure." Process Safety and Environmental Protection. (2021). https://doi.org/10.1016/j.psep.2020.12.040 (IF: 4.966).

37. Fatima, Syeda Anmol, Nasser Ramli, Syed Ali Ammar Taqvi, and Haslinda Zabiri. "Prediction of industrial debutanizer column compositions using data-driven ANFIS-and ANN-based approaches." Neural Computing and Applications: (2021) 1-13. https://doi.org/10.1007/s00521-020-05593-0 (IF: 4.7)

38. Sultan, Tahir, Haslinda Zabiri, Syed Ali Ammar Taqvi, and M. Shahbaz. "Plant-wide MPC control scheme for CO2 absorption/stripping system." Materials Today: Proceedings https://doi.org/10.1016/j.matpr.2020.11.467  (2021).

39. Thangarajoo, N., Taqvi, Syed Ali Ammar, Matheswaran, P., Johari, K., & Noh, M. H.  "Prediction of infinite dilution activity coefficient of alcohol in ionic liquids using group contribution method". Journal of Molecular Liquids, 114723, (2021).  https://doi.org/10.1016/j.molliq.2020.114723  (IF: 5.065).

40. Naqvi, S. R., Naqvi, M., Taqvi, Syed Ali Ammar, Iqbal, F., Inayat, A., Khoja, A. H., ... & Amin, N. A. S. "Agro-industrial residue Gasification feasibility in Captive Power Plants: A South-Asian Case Study". Energy, 118952., (2021). https://doi.org/10.1016/j.energy.2020.118952 (IF: 6.040).

2020

41. Nawaz, M., Maulud, A. S., Zabiri, H., Taqvi, Syed Ali Ammar, & Idris, A. (2020). Improved process monitoring using the CUSUM and EWMA-based multiscale PCA fault detection framework. Chinese Journal of Chemical Engineering. (IF: 2.93)

42. Shaik, N. B., Pedapati, S. R., Taqvi, Syed Ali Ammar, Ahsan, S., & Abd Dzubir, F. A. Classification of Faults in Oil and Gas Pipelines using Support Vector Machines in Pertanika Journal of Science & Technology, 28(S1), 2020. (Q2, SCOPUS Indexed)

43. Syed Ali Ammar Taqvi, Haslinda Zabiri, Lemma Dendena Tufa, Fahim Uddin, Syeda Anmol Fatima, Abdulhalim Shah Maulud, NARX Network Based Data-Driven Algorithm for Detection of Tray Faults in Nonlinear Dynamic Distillation Column in Jurnal Teknologi, 82(5), 2020. (Q2, SCOPUS Indexed)

44. .Shahbaz, M., Taqvi, Syed Ali Ammar, Inayat, M., Inayat, A., Sulaiman, S. A., McKay, G., & Al-Ansari, T. (2020). Air catalytic biomass (PKS) gasification in a fixed-bed downdraft gasifier using waste bottom ash as catalyst with NARX Neural Network modelling. Computers & Chemical Engineering, 107048, . (IF: 4.0).

45. M. Zulfiqar; M.F.R Samsudin; Taqvi, Syed Ali Ammar; Suriati Sufian, "Corrigendum to “Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural network", Journal of Photochemistry and Photobiology A: Chemistry, Volume 384, June 2020, Pages 112039. (IF: 3.30)

46. Naqvi, S. R., Ali, I., Nasir, S., Syed Ali Ammar Taqvi., Atabani, A. E., & Chen, W. H. Assessment of agro-industrial residues for bioenergy potential by investigating thermo-kinetic behavior in a slow pyrolysis process. Fuel, (2020), 278, 118259.  (IF: 5.12).

47. Shaik, N.B.; Pedapati, S.R.; Syed Ali Ammar Taqvi,; Othman, A.R.; Dzubir, F.A.A. A Feed-Forward Back Propagation Neural Network Approach to Predict the Life Condition of Crude Oil Pipeline. Processes 2020, 8, 661. (IF: 2.993).

48. Shakeel, K.; Javaid, M.; Muazzam, Y.; Naqvi, S.R.; Syed Ali Ammar Taqvi; Uddin, F.; Mehran, M.T.; Sikander, U.; Niazi, M.B.K. Performance Comparison of Industrially Produced Formaldehyde Using Two Different Catalysts. Processes 2020, 8, 571. (IF: 2.993).

49. Mujtaba, S. M., Lemma, T. A., Taqvi, Syed Ali Ammar, Ofei, T. N., & Vandrangi, S. K. (2020). Leak Detection in Gas Mixture Pipelines under Transient Conditions Using Hammerstein Model and Adaptive Thresholds. Processes, 8(4), 474. (IF: 2.993).

2019

50. Hafeez A., Syed A. Taqvi, T. Fazal, et al., “Optimization on Cleaner Intensification of Ozone Production Using Artificial Neural Network and Response Surface Methodology: Parametric and Comparative Study” in Journal of Cleaner Production (2019) (IF: 6.39).

51. K. Shakeel, M. Javaid, Y. Muazzam, S.R. Naqvi, Syed A. Taqvi, et al. “Performance Comparison of Industrially Produced Formaldehyde Using Two Different Catalysts” in Processes (2019). (Article in Press) (IF: 2.05).

52. Muhammad Shahbaz, Syed A. Taqvi, Suzana Yusup, , Adrian Chun Minh Loy, Abrar Inayat, “Artificial Neural Network approach for the steam gasification of palm oil waste using bottom ash and CaO” in Renewable Energy 132 (2019): 243-254. (IF:5.43)

53. Nadia Khan, Syed A. Taqvi, Hamza Bin Rafiq, Asra Nafees, “Selection of appropriate model for the synthesis of Coal Water Slurry (CWS) using PVA and TEA" in Iranian Journal of Chemistry and Chemical Engineering 38(2): 253-261, 2019. (IF: 1.1).

2018

54. Syed A. Taqvi., Tufa, L.D., H. Zabiri, A. Maulud, Uddin, F. “Multiple Fault Classification in Distillation Column using Multi-Kernel Support Vector Machine” in Industrial and Engineering Chemistry Research 57(43) 2018, 14689-14706. (IF:3.37)

55. Syed A. Taqvi., Tufa, L.D., H. Zabiri, Abdulhalim Shah Maulud, Uddin, F. “Fault Detection in Distillation Column using NARX Neural Network” in Neural Computing and Applications 2018. (IF: 4.664)

56. A.A.A. Mohd Amiruddin, Syed A. Taqvi, H. Zabiri, L. D. Tufa “Neural network applications in fault diagnosis and detection: An overview of implementations in engineering related systems” in Neural Computing and Applications 2018. (IF: 4.664).

57. K. M. S. Salvinder; H. Zabiri, Syed A. Taqvi, M. Ramasamy, F. Isa, H. Suleman; A. Maulud, A. M. Shariff, An overview on Control Strategies for CO2 Capture using Absorption/ Stripping System” in Chemical Engineering Research and Design, 147, 319-337 (2019) (IF:3.07).

58. Salman Raza Naqvi, Zeeshan Hameed, Syed A. Taqvi, Imtiaz Ali, “Synergistic effect on co-pyrolysis of rice husk and sewage sludge by thermal behavior, kinetics, thermodynamic parameters and artificial neural network” in Waste Management 85 (2019): 131-140. (IF:4.431).

59. Naqvi, S. R., Tariq, R., Hameed, Z., Ali, I., Syed A. Taqvi, Naqvi, M., Farooq, W. (2018). Pyrolysis of high-ash sewage sludge: Thermo-kinetic study using TGA and artificial neural networks. Fuel (2018), 233, 529-538. (IF:5.12)

60. Naqvi, S. R., Tariq, R., Hameed, Z., Ali, I., Syed A. Taqvi, Wei-Hsin Chen Naqvi, M., Muhammad, Junaid Ahmad, Shahbaz Farooq, “Pyrolysis of high ash sewage sludge: kinetics and thermodynamic analysis using Coats- Redfern method. Renewable Energy, 2018 131 (2019): 854-860. (IF:5.43)

61. K.M.S. Salvinder, H. Zabiri, F. Isa, Syed A. Taqvi, M.A.H. Roslan, Azmi M. Shariff “Dynamic modelling, simulation and basic control of CO2 absorption based on high pressure pilot plant for natural gas treatment” in International Journal of Greenhouse Gas Control 2018 70, 164-177. (IF:3.23)

62. F Uddin, LD Tufa, Abdulhalim Shah Maulud, Syed A. Taqvi, “System Behavior and Predictive Controller Performance near Azeotropic Region” in Chemical Engineering & Technology 2018 41(4), 806-818. (IF:2.05)

2017

63. Uddin, F., Tufa, L.D., Syed A. Taqvi., Vellen, N.: Development of regression models by closed–loop identification of distillation column-a case study. Indian J. Sci. Technol. 10, 1–6 (2017).

64. Syed A. Taqvi., Tufa, L., Muhadizir, S.: Optimization and dynamics of distillation column using Aspen Plus®. Procedia Engineering 148, 978–984 (2016).

65. Syed A. Taqvi, Mariam Sohail, Uddin. F (2016) Utlization of Ion- Exchange Technology for Boiler Feed Water Pro-duction-Design and Testing. Chemical Engineering, 1, 26-35.

66. F Uddin, Syed A. Taqvi, I Memon,: Process simulation and sensitivity analysis of indirect coal gasification using aspen plus model. ARPN Journal of Engineering and Applied Sciences 11 (17), 10546-10552.

67. Syed A. Taqvi, Tufa, L.D., Mahadzir, S.: Rigorous steady-state simulation of acetone production using Aspen HYSYS®. Aust. J. Basic Appl. Sci. 9, 535–542 (2016).

68. Syed A. Taqvi, Uddin, F., Tufa, L. D., Memon, I., & Hussain, M. (2015). Aspen Plus® Simulation of a Coal Gasification Process (Geometric Analysis). Journal of Chemical Engineering & Process Technology, 6 (6): 264.

Conference Proceedings

69. Syed A. Taqvi, H. Zabiri, Tufa, L.D., A. Fatima, A. Maulud, “Distillation Column: Review of Major Disturbances in 9th IEEE International Conference On Control System, Computing and Engineering (ICCSCE), Penang, Malaysia, 2019, pp. 168-171.

70. A. Fatima, H. Zabiri, Syed A. Taqvi, NM. Ramli, “System Identification of Industrial Debutanizer Column” in 9th IEEE International Conference On Control System, Computing and Engineering 2019 (ICCSCE), Penang, Malaysia, 2019, pp. 178-183.

71. Emad ul Hasan, Rosdiazli Ibrahim, Syed. A. Taqvi and Clment Olivier, “Online System Modeling of Chemical Process Plant using U-Model.” in 3rd International Symposium in Robotics and Manufacturing Automation (ROMA), 2017 IEEE.

72. Syed. A. Taqvi, L. D. Tufa, H. Zabiri, S. Mahadzir, A. S. Maulud, and F. Uddin, "Rigorous dynamic modelling and identification of distillation column using Aspen Plus," in Control and System Graduate Research Colloquium (ICSGRC), 2017 IEEE 8th, 2017, pp. 262-267.

73. F Uddin, Syed A. Taqvi, I Memon,: Sensitivity Analysis of Thar Coal Gasification using Steam. 1st International Conference on Advanced Materials and Process Engineering, Pakistan, DOI: 10.13140/RG.2.2.35760.56329 (2015).

74. Faiza Ilyas Vohra, Uddin F., Syed A. Taqvi,: Development of a Proto-Type Model for Drinking Water Treatment using Activated Carbon. 1st International Conference on Advanced Materials and Process Engineering, Pakistan, DOI: 10.13140/RG.2.2.32403.48165, (2015).

75. S. Nadeem, Syed A. Taqvi, Organic Acid Production From Fruit Waste Using Solid State Fermentation As A Green Technology: A Malaysian Perspective (Short Review), 5th International Mechanical Engineering Congress, At NED University of Engineering and Technology, May, 2015.

76. Syed A. Taqvi,., Uddin, F., Memon, I: To Study the Behavior of Gasifier and Simulation of Coal Gasification using Steam using Aspen-Plus® Model (Geometric Analysis), 1st International Coal Conference ICC2013, At Mehran University of Engineering and Technology, Jamshoro, November, 2013.

77. Uddin, F., Syed A. Taqvi, Memon, I Mitigating Energy Crisis by Coal Gasification using Steam - Sensitivity Analysis using Aspen-Plus® Simulation), 1st International Coal Conference ICC2013, At Mehran University of Engineering and Technology, Jamshoro, November, 2013.

Books Chapters

1. Naqvi, S. R., Syed Ali Ammar Taqvi, Mehran, M. T., Khoja, A. H., Naqvi, M., Bokhari, A., & Amin, N. A. S. (2021). Catalytic pyrolysis of biomass using shape-selective zeolites for bio-oil enhancement. In Bioenergy Resources and Technologies (pp. 39-60). Academic Press. 

2. Syed A. Taqvi, Rubab S., Mohd Fadzil Hassan “Realizing the Value of Big Data in Process Monitoring and Control: Current Issues and Opportunities” in Advances in Intelligent Systems and Computing”, 2018 (pp. 128-138) Springer, Cham.

3. Syed A. Taqvi, S. A., Tufa, L. D., Zabiri, H., Mahadzir, S., Maulud, A. S., & Uddin, F. (2017, August). Artificial neural network for anomalies detection in distillation column. In Asian Simulation Conference (pp. 302-311). Springer, Singapore.

4. Hussain, M., Tufa, L. D., Yusup, S., Zabiri, H., & Syed A. Taqvi. (2017, August). Aspen Plus® Simulation Studies of Steam Gasification in Fluidized Bed Reactor for Hydrogen Production Using Palm Kernel Shell. In Asian Simulation Conference (pp. 628-641). Springer, Singapore.

5. Syed A. Taqvi, Uddin F.: Indirect Coal Gasification using Aspen-Plus® Model, Simulation Studies and Geometric Analysis, LAP Lambert Academic Publishing, ISBN: 978-3-659-79355-4, First Edition, January, 2016.

Intellectual Properties/Copyrights

1. Multiple Fault Diagnosis in Distillation Column Using Multikernel Support Vector Machine. Status: [Applied], Filing Date: [15/03/2019], Copyright #: [LY2019001302], [Perak], Malaysia. [Syed A. Taqvi, Zabiri. H., LD Tufa, Uddin. F; A. Maulud].

2. NARX Network FDA: Fault Detection in Distillation Column Using NARX Neural Network. Status: [Applied], Filing Date: [15/03/2019], Copyright #: [LY2019001304], [Perak], Malaysia. [Syed A. Taqvi, Zabiri. H., LD Tufa, Uddin. F; A. Maulud].