Associate Prof Dr Mubarak Mujawar
@utb.edu.bn
Associate Professor , Petroleum and Chemical Engineering Department
Universiti Teknologi Brunei
Dr Mubarak Nabisab Mujawar is an Associate Professor in the Department of Petroleum and Chemical Engineering, UTB. In research, He has published more than 370 journal papers, 40 conference proceedings, and authored 60 book chapters, 9 Malaysian patents and the H-index is 73. He has published for 9 Books and co-editor 4 ongoing Elsevier edited books. Dr Mubarak, topping his achievements are the numerous awards he has received for his research, including the Curtin Malaysia Most Productive Researcher Award (2020 and 2021), Outstanding Faculty of Chemical Engineering Award (2018), Best Scientific Research Award London (2018), and Outstanding Scientist in Publication and Citation awarded by i-Proclaim Malaysia (2017). He also has the distinction of being listed in the top two per cent of the world’s most influential scientists in the area of chemical and energy. The List of the Top 2% Scientists in the World compiled and published by Stanford University
EDUCATION
2015 – PhD (Chemical Engineering) in Advanced Material and Technology, University of Malaya, Malaysia.
2010 – MSc (Biotechnology Engineering) specialized in Nanotechnology, International Islamic University Malaysia, Malaysia.
2005 – BEng (Chemical Engineering) in Sri Dharmasthala Manjunatheshwara College of Engineering and Technology (VTU University) Karnataka, India.
RESEARCH INTERESTS
Carbon nanotube/ nanofiber synthesis using microwave heating.
Synthesis of magnetic biochar and activated carbon using microwave technology.
Immobilization of enzyme on carbon nanotubes.
Synthesis of biofuel using microwave heating .
Application of CNTs and CNFs for removal liquids and gases polluta
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Nadeem Hussain Solangi, Lakshmi Prasanna Lingamdinne, Rama Rao Karri, Nabisab Mujawar Mubarak, Shaukat Ali Mazari, and Janardhan Reddy Koduru
Elsevier BV
Fatemeh Momeniha, Hosna Janjani, Mina Aghaei, Mohammad Hadi Dehghani, Ali Salimifard, Suhas, and Nabisab Mujawar Mubarak
Elsevier BV
Balram Yelamasetti, Manikyam Sandeep, Santhi Sree Narella, Vishnu Vardhan Tiruchanur, Tushar Sonar, Chander Prakash, Sagar Shelare, Nabisab Mujawar Mubarak, and Sandeep Kumar
Springer Science and Business Media LLC
Farah Ezzah Ab Latif, Arshid Numan, Nabisab Mujawar Mubarak, Mohammad Khalid, Muhammad Amirul Aizat Mohd Abdah, and Weng Pin Wong
Elsevier BV
Shahriar Shams, Jaya Narayan Sahu, and Nabisab Mujawar Mubarak
Springer Science and Business Media LLC
Zacek David Flores-López, Aylín Belén Solís-Díaz, Pabel Antonio Cervantes-Aviles, Pandiyan Thangarasu, Deepak Kumar, Harpreet Kaur, Jashanpreet Singh, Prasad Lokande, Carlos Alberto Huerta-Aguilar, and Nabisab Mujawar Mubarak
Springer Science and Business Media LLC
Ahmad Royani, Muhammad Hanafi, Nabisab Mujawar Mubarak, Gadang Priyotomo, Victor Sunday Aigbodion, Siti Musabikha, and Azwar Manaf
Springer Science and Business Media LLC
AbstractThis study evaluated Aloe vera extract as a green inhibitor to prevent corrosion in seawater environments. A. vera extract was produced by maceration with methanol–water at room temperature. Electrochemical techniques were used to evaluate the corrosion inhibitor effectiveness of the A. vera extract. The morphology of the corrosion products was analyzed by FE-SEM equipped with EDS and AFM. FT-IR and LCMS characterized the functional and structural groups in this extract. The electrochemical measurements show that A. vera extract could effectively reduce the corrosion of API 5L steel in seawater environments. Inhibition efficiency (IE) increases with increasing concentration. Optimal corrosion inhibition efficiency of around 83.75% (PDP) and 88.60% (EIS) was obtained by adding 300 mg L−1 of extract at 310 K. Furthermore, the higher the concentration of A. vera extract, the greater the activation energy (Ea), with the highest activation energy being 48.24 kJ mol−1 for the concentration of 300 mg L−1. Conversely, increasing the temperature and exposure duration reduces the corrosion inhibition efficiency (IE) values; the best exposure period was 30 min with 88.34% IE by a concentration of 300 mg L−1 at 300 K. This corrosion inhibition is achieved by the adsorption process of A. vera bioactive on metal surfaces with a mixed inhibitor through a physisorption-chemisorption mechanism. This finding was confirmed by the smoother surface morphology of the steel treated with A. vera extract than without. This unveiling investigation found that A. vera extract has the potential to be an environmentally friendly corrosion inhibitor in the seawater environment.
Satesh Kumar Devrajani, Zubair Ahmed, Naveed Ahmed Qambrani, Sania Kanwal, Uma Maheswari Sundaram, and Nabisab Mujawar Mubarak
Springer Science and Business Media LLC
Mazhar Ali, Tooba Sarwar, Nabisab Mujawar Mubarak, Rama Rao Karri, Lubna Ghalib, Aisha Bibi, and Shaukat Ali Mazari
Springer Science and Business Media LLC
AbstractIonic liquids (ILs) are highly effective for capturing carbon dioxide (CO2). The prediction of CO2 solubility in ILs is crucial for optimizing CO2 capture processes. This study investigates the use of deep learning models for CO2 solubility prediction in ILs with a comprehensive dataset of 10,116 CO2 solubility data in 164 kinds of ILs under different temperature and pressure conditions. Deep neural network models, including Artificial Neural Network (ANN) and Long Short-Term Memory (LSTM), were developed to predict CO2 solubility in ILs. The ANN and LSTM models demonstrated robust test accuracy in predicting CO2 solubility, with coefficient of determination (R2) values of 0.986 and 0.985, respectively. Both model's computational efficiency and cost were investigated, and the ANN model achieved reliable accuracy with a significantly lower computational time (approximately 30 times faster) than the LSTM model. A global sensitivity analysis (GSA) was performed to assess the influence of process parameters and associated functional groups on CO2 solubility. The sensitivity analysis results provided insights into the relative importance of input attributes on output variables (CO2 solubility) in ILs. The findings highlight the significant potential of deep learning models for streamlining the screening process of ILs for CO2 capture applications.
Ahmad Royani, Muhammad Hanafi, Victor Sunday Aigbodion, Muhammad Eka Prastya, Chandrabhan Verma, Nabisab Mujawar Mubarak, Akram Alfantazi, and Azwar Manaf
Elsevier BV
Chua Qi Yi, Muhammad Na’im Bin Haji Bujang Haji Bojeng, Siti Khadijah Binti Haji Kamis, Nabisab Mujawar Mubarak, Rama Rao Karri, and Hazwan Azri
Springer Science and Business Media LLC
AbstractPlastic waste is being manufactured for the production of hydrogen. The amount of plastic waste collected annually is 189,953 tonnes from adjacent nations like Indonesia and Malaysia. Polyethylene (PE), Polypropylene (PP), Polyethylene Terephthalate (PET), Polyvinyl chloride (PVC), and Polystyrene (PS) are the five most prevalent forms of plastic found in most waste. Pyrolysis, water gas shift and steam reforming reaction, and pressure swing adsorption are the three main phases utilized and studied. In this research, authors examines the energy consumption on every stage. The plastic waste can be utilized to manufacture many hydrocarbons using the pyrolysis reaction. For this process, fast pyrolysis is being used at a temperature of 500 °C. A neutralization process is also needed due to the presence of Hydrochloric acid from the pyrolysis reaction, with the addition of sodium hydroxide. This is being carried to prevent any damage to the reactor during the process. Secondly, the steam reforming process continues after the water gas shift reaction has produced steam and carbon monoxide, followed by carbon dioxide and hydrogen formation. Lastly, pressure swing adsorption is designed to extract H2S and CO2 from the water gas shift and steam reforming reaction for greater purity of hydrogen. From the simulation study, it is observed that using various types of plastic waste procured (total input of 20,000 kg per hour of plastics) from, Brunei Darussalam, Malaysia and Indonesia, can produce about 340,000 tons of Hydrogen per year. Additionally, the annual profit of the Hydrogen production is estimated to be between $ 271,158,100 and $ 358,480,200. As per the economic analysis, it can be said that its a good to start hydrogen production plant in these regions.
Mustapha Isah, Camellia Doroody, Kazi Sajedur Rahman, Mohd Nazri Abd Rahman, Adamu Ahmed Goje, Manzoore Elahi M. Soudagar, Tiong Sieh Kiong, Nabisab Mujawar Mubarak, and Ahmad Wafi Mahmood Zuhdi
Springer Science and Business Media LLC
AbstractA numerical analysis of a CdTe/Si dual-junction solar cell in terms of defect density introduced at various defect energy levels in the absorber layer is provided. The impact of defect concentration is analyzed against the thickness of the CdTe layer, and variation of the top and bottom cell bandgaps is studied. The results show that CdTe thin film with defects density between 1014 and 1015 cm−3 is acceptable for the top cell of the designed dual-junction solar cell. The variations of the defect concentrations against the thickness of the CdTe layer indicate that the open circuit voltage, short circuit current density, and efficiency (ƞ) are more affected by the defect density at higher CdTe thickness. In contrast, the Fill factor is mainly affected by the defect density, regardless of the thin film’s thickness. An acceptable defect density of up to 1015 cm−3 at a CdTe thickness of 300 nm was obtained from this work. The bandgap variation shows optimal results for a CdTe with bandgaps ranging from 1.45 to 1.7 eV in tandem with a Si bandgap of about 1.1 eV. This study highlights the significance of tailoring defect density at different energy levels to realize viable CdTe/Si dual junction tandem solar cells. It also demonstrates how the impact of defect concentration changes with the thickness of the solar cell absorber layer.
Lakshmi Prasanna Lingamdinne, Ganesh Kumar Reddy Angaru, Chandrika Ashwinikumar Pal, Janardhan Reddy Koduru, Rama Rao Karri, Nabisab Mujawar Mubarak, and Yoon-Young Chang
Springer Science and Business Media LLC
AbstractThis study synthesized a highly efficient KOH-treated sunflower stem activated carbon (KOH-SSAC) using a two-step pyrolysis process and chemical activation using KOH. The resulting material exhibited exceptional properties, such as a high specific surface area (452 m2/g) and excellent adsorption capacities for phenol (333.03 mg/g) and bisphenol A (BPA) (365.81 mg/g). The adsorption process was spontaneous and exothermic, benefiting from the synergistic effects of hydrogen bonding, electrostatic attraction, and stacking interactions. Comparative analysis also showed that KOH-SSAC performed approximately twice as well as sunflower stem biochar (SSB), indicating its potential for water treatment and pollutant removal applications. The study suggests the exploration of optimization strategies to further enhance the efficiency of KOH-SSAC in large-scale scenarios. These findings contribute to the development of improved materials for efficient water treatment and pollution control.
Syed Noeman Taqui, Akheel Ahmed Syed, Nabisab Mujawar Mubarak, Rizwan Abutaleeb Farade, M. A. Majeed Khan, Md. Abul Kalam, Mohammad Hadi Dehghani, Manzoore Elahi Mohammad Soudagar, Rauoof Ahmad Rather, Sathgatta Zaheeruddin Mohamed Shamshuddin,et al.
Springer Science and Business Media LLC
Azad Qayoom Malik, Tabinda Jabeen, Sabha Yousaf, Mehak Azam, Deepak Kumar, Nabisab Mujawar Mubarak, Hamad AlMohamadi, and Ahmad Hosseini-Bandegharaei
Elsevier BV
Lakshmi Prasanna Lingamdinne, Rakesh Kulkarni, Janardhan Reddy Koduru, Rama Rao Karri, Adinarayana Reddy Somala, Nadeem Hussain Solangi, Nabisab Mujawar Mubarak, Jong-Soo Choi, Yoon-Young Chang, and Mohammad Hadi Dehghani
Elsevier BV
Sabzoi Nizamuddin, Abdul Jabbar Baloch, Chengrong Chen, Muhammad Arif, and Nabisab Mujawar Mubarak
Elsevier BV
Sing Ying Lee, Yie Hua Tan, Sie Yon Lau, Nabisab Mujawar Mubarak, Yee Yong Tan, Inn Shi Tan, Yeong Huei Lee, Mohd Lokman Ibrahim, Rama Rao Karri, Mohammad Khalid,et al.
Elsevier BV
Saidmansur Saidobbozov, Suvonqul Nurmanov, Orifjon Qodirov, Askar Parmanov, Samadjon Nuraliyev, Elyor Berdimurodov, Ahmad Hosseini-Bandegharaei, Wan Mohd Norsani B. Wan Nik, Asmaa Benettayeb, Nabisab Mujawar Mubarak,et al.
Springer Science and Business Media LLC
Farruh Habiyev, Suvonqul Nurmanov, Orifjon Qodirov, Abdullaev Jahongir, Jasurbek Mamajonov, Elyor Berdimurodov, Ahmad Hosseini-Bandegharaei, Wan Mohd Norsani B. Wan Nik, Nabisab Mujawar Mubarak, Arnold C. Alguno,et al.
Elsevier BV
Rakesh Kulkarni, Lakshmi Prasanna Lingamdinne, Janardhan Reddy Koduru, Rama Rao Karri, Suresh Kumar Kailasa, Nabisab Mujawar Mubarak, Yoon-Young Chang, and Mohammad Hadi Dehghani
Elsevier BV
Nadeem Hussain Solangi, Aumber Abbas, Nabisab Mujawar Mubarak, Rama Rao Karri, Shrouq H. Aleithan, Jamal Kazmi, Waqas Ahmad, and Karim Khan
Elsevier BV
Yee Xuan Seow, Yie Hua Tan, Jibrail Kansedo, Inn Shi Tan, Bridgid Lai Fui Chin, Nabisab Mujawar Mubarak, Mohd Nurfirdaus Bin Mohiddin, Peter Nai Yuh Yek, Yen San Chan, and Mohammad Omar Abdullah
Springer Science and Business Media LLC
AbstractMost agricultural activities generate a significant quantity of biomass waste that has not been fully utilized. This study utilized palm kernel shells as the primary material to produce sulfonated magnetic palm kernel shell biochar. The post-sulfonation magnetic palm kernel shell biochar had a greater particle size of around 137 nm compared to the pre-sulfonation biochar. This increase in size can be attributed to the presence of the − SO3H group. The biochar that underwent post-sulfonation was chosen for a techno-economic evaluation to ascertain its viability in terms of economics and energy efficiency. Soybean straw and coconut shell-derived biochar were chosen for the techno-economic assessment. The energy intake for soybean straws, coconut shells, and palm kernel shells derived from biochar is 48.85 MJ∙kg−1, 23.83 MJ∙kg−1, and 52.44 MJ∙kg−1, respectively. The energy output for soybean straws, coconut shells, and palm kernel shells derived biochar is determined to be 22.54 MJ∙kg−1, 23.68 MJ∙kg−1, and 31.55 MJ∙kg−1, respectively. The ultimate profit-to-cost ratios of soybean straws, coconut shells, and palm kernel shells derived biochar are 0.21, 4.92, and 1.11, respectively. The techno-economic assessment indicates that coconut shell-derived biochar production is favourable, primarily due to its attributes of low net energy balance, high porosity, and lower density. Both coconut shells and palm kernel shells derived biochar productions are economically viable and efficient due to their high profit-to-cost ratio. The microwave-assisted technology is proven efficient and demands less energy to generate an equivalent quantity of biochar compared to traditional furnaces.
Azad Qayoom Malik, Tabinda Jabeen, Prasad Eknath Lokhande, Deepak Kumar, Shikha Awasthi, Sarvesh Kumar Pandey, Nabisab Mujawar Mubarak, and Faisal Abnisa
Elsevier BV
Mohd Nurfirdaus Bin Mohiddin, Yie Hua Tan, Jibrail Kansedo, Nabisab Mujawar Mubarak, Yen San Chan, Mohammad Khalid, and Keat Teong Lee
Elsevier BV