Research Projects

Performance and long-term analysis of compression-ignition (CI) engine using biodiesel as an addition

1. Waste management technology for sugar industry to utilize water as fertilizer to achieve an economical mean

2. Effect of total quality management (TQM) on organizational performance: A case study of the textile sector of Pakistan

1. Generation of electric power by footstep using rack and pinion system 

2. Design and Fabrication of Free Energy Generation Waterotor 

3. Analysis of the particulate matter Emission and performance of CI engine using ethanol as additives

4. Modelling and simulation of shell and tube heat exchanger using CFD

5. Performance analysis of shell and tube heat exchanger under different operating conditions

1. Keerio, Muhammad Ali, Aijaz Abbasi, Muhammad Ramzan Luhur, and Ghulamullah Khaskheli. "Assessing the agronomic and economic viability of distillery spent wash and boiler ash mixtures as sustainable fertilizers." Spectrum of Engineering Sciences 3, no. 5 (2025): 99-109. 

2. Abbasi A, Windarto W, Bhangwar S., (2023), “An experimental study of the performance of a ci engine using ethanol as a fuel stabilizer”. ARPN Journal of Engineering and Applied Sciences. 2023 Oct;18(19):2198-2205. doi: 10.59018/1023270 

3. Bhangwar S, Liaquat AM, Luhar MR, Abbasi A, Kumar L, Rajput UA and Mastoi S (2022) Production of biodiesel and analysis of exhaust particulate emissions and metal concentration of lubricant oil of the compression ignition engine. Front. Energy Res. 10:1057611. doi: 10.3389/fenrg.2022.1057611

4. Machmudah, Affiani, Tamiru Alemu Lemma, Mahmud Iwan Solihin, Yusron Feriadi, Armin Rajabi, Mohamad Imam Afandi, and Aijaz Abbasi. "Design Optimization of a Gas Turbine Engine for Marine Applications: Off-Design Performance and Control System Considerations." Entropy 24, no. 12 (2022): 1729. doi.org/10.3390/e24121729. 

5. Soomro, Afzal Ahmed, Ainul Akmar Mokhtar, Waleligne Molla Salilew, Zainal Ambri Abdul Karim, Aijaz Abbasi, Najeebullah Lashari, and Syed Muslim Jameel. 2022. "Machine Learning Approach to Predict the Performance of a Stratified Thermal Energy Storage Tank at a District Cooling Plant Using Sensor Data."  Sensors 22 (19):7687. doi: doi.org/10.3390/s22197687.

6. Bhangwar, Sajjad, Sher Muhammad Ghoto, Aijaz Abbasi, Muhammad Kashif Abbasi, Arif Ali Rind, Muhammad Ramzan Luhur, Zohaib Khan, Umair Ahmed Rajput, and Sanaullah Mastoi. 2022. "Analysis of Particulate Matter Emissions and Performance of the Compression Ignition Engine Using Biodiesel Blended Fuel."  Engineering, Technology & Applied Science Research 12 (5):9400-9403. doi.org/10.48084/etasr.5204.

7. Aijaz Abbasi and Fakhruldin Mohd Hashim, “A Review on fundamental principles of a natural gas hydrate formation prediction”, Petroleum Science and Technology. 1-23. doi 10.1080/10916466.2022.2042559. (ISI index).

8. Aijaz Abbasi, Fakhruldin Mohd Hashim, and Affiani Machmudah. 2022. "Modeling of hydrate formation prediction in binary components of natural gas."  Petroleum Science and Technology. 1-13. doi: 10.1080/10916466.2022.2034854. (ISI index).

9. Aijaz Abbasi, Afzal Ahmed Soomro and Fakhruldin Mohd Hashim, "The thermodynamic hydrate formation conditions for methane gas," ARPN Journal of Engineering and Applied Sciences, Vol. 17, No. 2, PP-160-165, January 2022. (ISI index). 

10. Ali Murtaza Ansari, Sajjad Bhangwar, Liaquat Ali Memon, Aijaz Abbasi, Faheem Ahmed Solangi, Muhammad Ramzan Luhur, “Impact of Biodiesel Blend fuel on Exhaust Valve Deposition Formation” QUEST Journal.

11. Sajjad Bhangwar, Aijaz Abbasi, Liaquat Ali Memon, Sher Muhammad Ghoto, Azhar Hussain Shah and Muhammad Ramzan Luhur, "Deposition Formation Effect of Biodiesel in A Diesel Engine Fuel Injector", International Journal of Emerging Trends in Engineering Research, Volume 9. No. 8, August 2021, doi.org/10.30534/ijeter/2021/03982021. (HEC index)

12. Affiani Machmudah, Setyamartana Parman, Aijaz Abbasi, Mahmud Iwan Solihin, Teh Sabariah Abd Manan, Salmia Beddu, Amiruddin Ahmad and Nadiah Wan Rasdi, “Cyclic Path Planning of Hyper-redundant Manipulator using Whale Optimization Algorithm” International Journal of Advanced Computer Science and Applications (IJACSA), 12(8), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120879. (ISI index)

13. A. Abbasi and F.M. Hashim, "Hydrate formation prediction model for binary gases of methane+ethane and methane+propane by using optimisation algorithm" Accepted for publication in Petroleum Science and Technology, Taylor and Francis. doi:10.1080/10916466.2019.1655447.

14. A. Abbasi and F. M. Hashim, "Evaluating Pressure in Deepwater Gas Pipeline for the Prediction of Natural Gas Hydrate Formation," Engineering, Technology & Applied Science Research, vol. 9, pp. 5033-5036, 2019.

15. A. A. Soomro, A. A. Mokhtar, A. Akbar, and A. Abbasi, "Modelling Techniques Used in The Analysis of Stratified Thermal Energy Storage: A Review," in MATEC Web of Conferences, 2018, p. 01015, doi: 10.1051/matecconf/201822501015.

16. A. Abbasi and F. M. Hashim, "Development of a hydrate formation prediction model for sub-sea pipeline," Petroleum Science and Technology, vol. 35, pp. 443-450, 2017.  doi: 10.1080/10916466.2016.1263210.

17. F. M. Hashim and A. Abbasi, "Empirical modeling of hydrate formation prediction in deepwater pipelines," ARPN Journal of Engineering and Applied Sciences, vol. 11, No. 20, pp. 12212-12216, 2016. 

18. A. Abbasi and F. M. Hashim, "An intelligent optimization based prediction model for natural gas hydrate formation in deep-water pipeline," Petroleum Science and Technology, vol. 34, pp. 1352-1358, 2016, Taylor and Francis. doi:10.1080/10916466.2016.1204315.

19. A. Abbasi and F. M. Hashim, "A prediction model for the natural gas hydrate formation pressure into transmission line," Petroleum Science and Technology, Taylor & Francis, vol. 34, pp. 824-831, 2016/05/02 2016, doi:10.1080/10916466.2016.1170842.

20. Aijaz Abbasi and F. M. Hashim, "Prediction of hydrate formation conditions in subsea pipeline with genetic algorithm," in Technology, Informatics, Management, Engineering & Environment (TIME-E), 2015 International Conference on, 2015, pp. 133-136. doi: 10.1109/TIME-E.2015.7389761.

21. Aijaz Abbasi and Fakhruldin Mohd Hashim (2015), “Particle Swarm Optimization based Empirical Correlation for Prediction of Hydrate Formation in Deep-water Pipeline” Applied Mechanics and Materials Vol 772 (2015) pp154-158, © Trans Tech Publications, Switzerland, doi: 10.4028/www.scientific.net/AMM.772.154.

22. A. Abbasi and F. M. Hashim, "A review on the Application of Empirical Models to Hydrate Formation Prediction," in ICPER 2014 - 4th International Conference on Production, Energy and Reliability. vol. 13, S. Karuppanan, Z. A. A. Karim, M. Ovinis, and A. T. Baheta, Eds., ed, 2014. doi: 10.1051/matecconf/20141302035.

23. Aijaz Abbasi and Fakhruldin Mohd Hashim (2014), “Thermodynamic Effects on Hydrate Formation in Deepwater Pipeline” Applied Mechanics and Materials Vols. 548-549 (2014) pp 607-611,© (2014) Trans Tech Publications, Switzerland, doi:10.4028/www.scientific.net/AMM.548-549.607.