@kau.edu.sa
Assistant Professor-Chemical and Materials Engineering Department
King Abdulaziz University
Skilled engineer with experience in chemical industry and enthusiastic Assistant Professor in Chemical and Material engineering with extensive research, teaching, supervision and administration experience. Meticulous and methodical in approach to all tasks, guaranteeing high quality results in line with learning specifications. Research interests include Polymer nanocomposites, renewable energy, Catalyst, Solar systems and Fuel cell. Currently working on developing pyrolysis techniques for biomass conversion to biofuel to meet current industrial demanding for adequate waste management process. In oil and gas industry, promising research are conducted on the field of synthesis and functionalization of catalyst for hydrocarbon conversion and oil upgrading purposes. Research interests include modeling and simulation of fluid dynamics in porous media and synthesis of nanocomposites coating for corrosion resistance applications. I received the SABIC Distinguished Award, in 2006
B. Sc. in Chemical Engineering, King Fahd University of Petroleum & Minerals; Dhahran, Saudi Arabia.
M.Sc. in Chemical Engineering, University Of Calgary; Calgary, Canada
Ph.D. in Chemical Engineering, University Of Waterloo, Waterloo, Canada
1. Polymer nanocomposites synthesis and characterization.
2. Corrosion and electrochemical testing.
3. Coating
4. Fluid dynamics modeling and simulation.
5. Biomass pyrolysis conversion Bio-fuel.
6. Renewable Energy
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Nagaraju Pasupulety, Abdurahim A. Alzahrani, Muhammad A. Daous, and Hesham Alhumade
Elsevier BV
Akram Nahri, Elias M. Salilih, Omar Bamaga, Eydhah Almatrafi, Hani Abulkhair, Hesham Alhumade, Ahmed Bamasag, Francesca Macedonio, Enrico Drioli, and Mohammad Albeirutty
Elsevier BV
Elias M. Salilih, Omar Bamaga, Eydhah Almatrafi, Hani Abulkhair, Hesham Alhumade, Ahmed Bamasag, Iqbal Ahmed, Abdulmohsen Alsaiari, Nurrohman, and Mohammad Albeirutty
Elsevier BV
Xu Luo, Dali Yang, Xiaoqian He, Shengchun Wang, Dongchao Zhang, Jiaxin Xu, Chih-Wen Pao, Jeng-Lung Chen, Jyh-Fu Lee, Hengjiang Cong,et al.
Springer Science and Business Media LLC
AbstractLigands and additives are often utilized to stabilize low-valent catalytic metal species experimentally, while their role in suppressing metal deposition has been less studied. Herein, an on-cycle mechanism is reported for CoCl2bpy2 catalyzed Negishi-type cross-coupling. A full catalytic cycle of this kind of reaction was elucidated by multiple spectroscopic studies. The solvent and ligand were found to be essential for the generation of catalytic active Co(I) species, among which acetonitrile and bipyridine ligand are resistant to the disproportionation events of Co(I). Investigations, based on Quick-X-Ray Absorption Fine Structure (Q-XAFS) spectroscopy, Electron Paramagnetic Resonance (EPR), IR allied with DFT calculations, allow comprehensive mechanistic insights that establish the structural information of the catalytic active cobalt species along with the whole catalytic Co(I)/Co(III) cycle. Moreover, the acetonitrile and bipyridine system can be further extended to the acylation, allylation, and benzylation of aryl zinc reagents, which present a broad substrate scope with a catalytic amount of Co salt. Overall, this work provides a basic mechanistic perspective for designing cobalt-catalyzed cross-coupling reactions.
Dongfeng Yang, Zhipeng Guan, Yanan Peng, Shuxiang Zhu, Pengjie Wang, Zhiliang Huang, Hesham Alhumade, Dong Gu, Hong Yi, and Aiwen Lei
Springer Science and Business Media LLC
AbstractWith the fast development of synthetic chemistry, the introduction of functional group into organic molecules has attracted increasing attention. In these reactions, the difunctionalization of unsaturated bonds, traditionally with one nucleophile and one electrophile, is a powerful strategy for the chemical synthesis. In this work, we develop a different path of electrochemical oxidative difunctionalization of diazo compounds with two different nucleophiles. Under metal-free and external oxidant-free conditions, a series of structurally diverse heteroatom-containing compounds hardly synthesized by traditional methods (such as high-value alkoxy-substituted phenylthioacetates, α-thio, α-amino acid derivatives as well as α-amino, β-amino acid derivatives) are obtained in synthetically useful yields. In addition, the procedure exhibits mild reaction conditions, excellent functional-group tolerance and good efficiency on large-scale synthesis. Importantly, the protocol is also amenable to the key intermediate of bioactive molecules in a simple and practical process.
Hui Liu, Hesham Alhumade, and Ali Elkamel
Elsevier BV
N.A. Ali, M. Ismail, Sami-ullah Rather, Hisham S. Bamufleh, Hesham Alhumade, Aqeel Ahmad Taimoor, and Usman Saeed
Elsevier BV
Sami-ullah Rather, Aliyu Adebayo Sulaimon, Azmi M. Shariff, Ali Qasim, Hisham Saeed Bamufleh, Hesham Abdulhamed Alhumade, Usman Saeed, and Walid Al-Alayah
Elsevier BV
Hesham Alhumade, A.G. Olabi, Hegazy Rezk, Pragati A. Shinde, and Mohammad Ali Abdelkareem
Elsevier BV
Elias M. Salilih, Muhammad Naveed Khan, Omar Bamaga, Iqbal Ahmed, Mohammad Albeirutty, Eydhah Almatrafi, Hani Abulkhair, Hisham Alhumade, Ahmed Bamasag, and Mohammed G.H. Haidar
Elsevier BV
Shoufei Han, Kun Zhu, MengChu Zhou, Hesham Alhumade, and Abdullah Abusorrah
Institute of Electrical and Electronics Engineers (IEEE)
Guanyu Cai, Lianghua He, Mengchu Zhou, Hesham Alhumade, and Die Hu
Institute of Electrical and Electronics Engineers (IEEE)
Typical adversarial-training-based unsupervised domain adaptation (UDA) methods are vulnerable when the source and target datasets are highly complex or exhibit a large discrepancy between their data distributions. Recently, several Lipschitz-constraint-based methods have been explored. The satisfaction of Lipschitz continuity guarantees a remarkable performance on a target domain. However, they lack a mathematical analysis of why a Lipschitz constraint is beneficial to UDA and usually perform poorly on large-scale datasets. In this article, we take the principle of utilizing a Lipschitz constraint further by discussing how it affects the error bound of UDA. A connection between them is built, and an illustration of how Lipschitzness reduces the error bound is presented. A local smooth discrepancy is defined to measure the Lipschitzness of a target distribution in a pointwise way. When constructing a deep end-to-end model, to ensure the effectiveness and stability of UDA, three critical factors are considered in our proposed optimization strategy, i.e., the sample amount of a target domain, dimension, and batchsize of samples. Experimental results demonstrate that our model performs well on several standard benchmarks. Our ablation study shows that the sample amount of a target domain, the dimension, and batchsize of samples, indeed, greatly impact Lipschitz-constraint-based methods’ ability to handle large-scale datasets. Code is available at https://github.com/CuthbertCai/SRDA.
Ahmad H. Milyani, Mohammed N. Ajour, Hesham A. Alhumade, and Nidal H. Abu-Hamdeh
Springer Science and Business Media LLC
Hesham Alhumade, Iqbal Ahmed Moujdin, and Saad Al-Shahrani
MDPI AG
An efficient electrochemical energy conversion system with little to no environmental impact is the fuel cell (FC). FCs have demonstrated encouraging results in various applications and can even run on biofuel, such as bio-glycerol, a by-product of biodiesel. The most effective ways to operate FCs can significantly enhance their effectiveness. Incorporating fuzzy modeling and metaheuristic methods, this work used artificial intelligence to determine the ideal operating parameters for a microfluidic fuel cell (MFC). The concentrations of the following four variables were considered: bio-glycerol concentration, anode electrocatalyst loading, anode electrolyte concentration, and cathode electrolyte concentration. The output power density of the MFC was used to assess its performance. The output power density of the MFC was modeled using fuzzy logic, taking into account the aforementioned operational parameters. A jellyfish search optimizer (JSO) was then used to find the ideal operating conditions. The results were contrasted with response surface methodology (RSM) and experimental datasets to demonstrate the superiority of the proposed integration between fuzzy modeling and the JSO. In comparison with the measured and RSM approaches, the suggested strategy boosted the power density of the MFC by 9.38% and 8.6%, respectively.
Sharif F. Zaman, Opeyemi A. Ojelade, Hesham Alhumade, Jahirul Mazumder, Hend Omar Mohamed, and Pedro Castaño
Elsevier BV
Sami-ullah Rather, Md. Shahinur Islam, Hisham S. Bamufleh, Hesham Alhumade, Aqeel Ahmad Taimoor, Usman Saeed, Aliyu Adebayo Sulaimon, Md. Anamul Hoque, Walid M. Alalayah, and Azmi Mohd Shariff
Elsevier BV
Sami-ullah Rather, Hisham S. Bamufleh, Hesham Alhumade, Aqeel Ahmad Taimoor, Usman Saeed, Abdulrahim Ahmad Al-Zahrani, and O.M. Lemine
Elsevier BV
Noratiqah Sazelee, Nurul Amirah Ali, Mohammad Ismail, Sami-Ullah Rather, Hisham S. Bamufleh, Hesham Alhumade, Aqeel Ahmad Taimoor, and Usman Saeed
MDPI AG
The high hydrogen storage capacity (10.5 wt.%) and release of hydrogen at a moderate temperature make LiAlH4 an appealing material for hydrogen storage. However, LiAlH4 suffers from slow kinetics and irreversibility. Hence, LaCoO3 was selected as an additive to defeat the slow kinetics problems of LiAlH4. For the irreversibility part, it still required high pressure to absorb hydrogen. Thus, this study focused on the reduction of the onset desorption temperature and the quickening of the desorption kinetics of LiAlH4. Here, we report the different weight percentages of LaCoO3 mixed with LiAlH4 using the ball-milling method. Interestingly, the addition of 10 wt.% of LaCoO3 resulted in a decrease in the desorption temperature to 70 °C for the first stage and 156 °C for the second stage. In addition, at 90 °C, LiAlH4 + 10 wt.% LaCoO3 can desorb 3.37 wt.% of H2 in 80 min, which is 10 times faster than the unsubstituted samples. The activation energies values for this composite are greatly reduced to 71 kJ/mol for the first stages and 95 kJ/mol for the second stages compared to milled LiAlH4 (107 kJ/mol and 120 kJ/mol for the first two stages, respectively). The enhancement of hydrogen desorption kinetics of LiAlH4 is attributed to the in situ formation of AlCo and La or La-containing species in the presence of LaCoO3, which resulted in a reduction of the onset desorption temperature and activation energies of LiAlH4.
Hesham Alhumade, Omar S. Alayed, Muhammad Waqas Iqbal, Ayesha Shahid, Tanveer Iqbal, Muhammad Sajjad Ahmad, Ali Elkamel, Yusuf Al-Turki, Muhammad Aamer Mehmood, and Ghulam Abbas Ashraf
Elsevier BV
Hesham Alhumade, Muhammad Sajjad Ahmad, Emanuele Mauri, Yusuf Al-Turki, and Ali Elkamel
Springer Science and Business Media LLC
Hesham Alhumade, Muhammad Sajjad Ahmad, Emanuele Mauri, Yusuf Al-Turki, and Ali Elkamel
Springer Science and Business Media LLC
Sami-ullah Rather, Md. Habibur Rahman, Hisham S. Bamufleh, Hesham Alhumade, Aqeel Ahmad Taimoor, Usman Saeed, Aliyu Adebayo Sulaimon, Walid M. Alalayah, Azmi Mohd Shariff, and Md Anamul Hoque
Elsevier BV
Zhaoliang Yang, Wenyan Shi, Hesham Alhumade, Hong Yi, and Aiwen Lei
Springer Science and Business Media LLC
Mohammed Alzahrani, Hesham Alhumade, Leonardo Simon, Kaan Yetilmezsoy, Chandra Mouli R. Madhuranthakam, and Ali Elkamel
MDPI AG
The suitability of recycled poly(ethylene terephthalate) (R-PET) for 3D-printing applications was evaluated by studying the melt flow characteristics of the polymer. R-PET is known to experience significant deterioration in its mechanical properties when recycled due to molecular weight loss that results from reprocessing. Lower molecular weight hinders R-PET from being 3D-printable due to low viscosity and melt strength. The hypothesis was that R-PET can be modified with reasonable effort and resources to a 3D-printable thermoplastic if the low viscosity problem is tackled. Higher viscosity will enhance both the melt strength and the melt flow characteristic of the polymer, making it more suitable for processing and 3D printing. Reactive extrusion was selected as the method for modifying the polymer to achieve the objective via a coupling reaction with chain extender PMDA (pyromellitic dianhydride). A decrease in the melt flow index (MFI) from 90 to 1.2 (g/10 min) was recorded when PMDA was added at 0.75 wt% which lowered the MFI of modified R-PET to a comparable value to commercial 3D-printing filaments. Furthermore, FT-IR analysis was performed to investigate the chemical composition of the product. Finally, a 3D-printing filament was made from the modified R-PET by mimicking the main processing stations that exist in the filament-making process, which are the extrusion stage, water bath cooling stage and spooling stage. With 0.75 wt% PMDA, the melt strength was satisfactory for pulling the filament and, therefore, a filament with on-spec dimension was produced. Finally, a small object was successfully 3D-printed using the filament product at a minimum recommended temperature of 275 °C.
Noratiqah Sazelee, Muhamad Faiz Md Din, Mohammad Ismail, Sami-Ullah Rather, Hisham S. Bamufleh, Hesham Alhumade, Aqeel Ahmad Taimoor, and Usman Saeed
MDPI AG
One of the ideal energy carriers for the future is hydrogen. It has a high energy density and is a source of clean energy. A crucial step in the development of the hydrogen economy is the safety and affordable storage of a large amount of hydrogen. Thus, owing to its large storage capacity, good reversibility, and low cost, Magnesium hydride (MgH2) was taken into consideration. Unfortunately, MgH2 has a high desorption temperature and slow ab/desorption kinetics. Using the ball milling technique, adding cobalt lanthanum oxide (LaCoO3) to MgH2 improves its hydrogen storage performance. The results show that adding 10 wt.% LaCoO3 relatively lowers the starting hydrogen release, compared with pure MgH2 and milled MgH2. On the other hand, faster ab/desorption after the introduction of 10 wt.% LaCoO3 could be observed when compared with milled MgH2 under the same circumstances. Besides this, the apparent activation energy for MgH2–10 wt.% LaCoO3 was greatly reduced when compared with that of milled MgH2. From the X-ray diffraction analysis, it could be shown that in-situ forms of MgO, CoO, and La2O3, produced from the reactions between MgH2 and LaCoO3, play a vital role in enhancing the properties of hydrogen storage of MgH2.
Journal articles:
1- Ahmad, M. S., Liu, H., Alhumade, H., Tahir, M. H., Çakman, G., Yıldız, A., & Shen, B. (2020). A modified DAEM: To study the bioenergy potential of invasive Staghorn Sumac through pyrolysis, ANN, TGA, kinetic modeling, FTIR and GC–MS analysis. Energy Conversion and Management, 221, 113173.
2- Liu, H., Ahmad, M. S., Alhumade, H., Elkamel, A., Sammak, S., & Shen, B. (2020). A hybrid kinetic and optimization approach for biomass pyrolysis: The hybrid scheme of the isoconversional methods, DAEM, and a parallel-reaction mechanism. Energy Conversion and Management, 208, 112531.
3- Alhumade, Hesham, Hegazy Rezk, Ahmed M. Nassef, and Mujahed Al-Dhaifallah. "Fuzzy Logic Based-Modeling and Parameter Optimization for Improving the Corrosion Protection of Stainless Steel 304 by Epoxy-Graphene IEEE Access 7 (2019): 100899-100909.
4- Alhumade, Hesham, et al. "Investigation of pyrolysis kinetics and thermal behavior of Invasive Reed Canary (Phalaris arundinacea) for bioenergy Journal of Analytical and Applied Pyrolysis (2019).
5-Liu, Hui, Muhammad Sajjad Ahmad, Hesham Alhumade, Ali Elkamel, and Robert J. Cattolica. "Three pseudo-components kinetic modeling and nonlinear dynamic optimization of Rhus Typhina pyrolysis with the distributed activation energy Applied Thermal Engineering 157 (2019): 113633.
6- Alhumade, H., Nogueira, R. P., Yu, A., Elkamel, A., Simon, L., & Abdala, A. (2018). Role of surface functionalization on corrosion resistance and thermal stability of epoxy/glass flake composite coating on cold rolled steel. Progress in Organic Coatings, 122, 180-188.
7- Um, Jun Geun, Yun-Seok Jun, Hesham Alhumade, Hariharan Krithivasan, Gregory Lui, and Aiping Yu. "Investigation of the size effect of graphene nano-platelets (GnPs) on the anti-corrosion performance of polyurethane/GnP RSC Advances 8, no. 31 (2018): 17091-17100.
8-Hesham Alhumade, Ahmed Abdala, Aiping Yu, Ali Elkamel, and Leonardo Simon. "Corrosion inhibition of copper in sodium chloride solution using polyetherimide/graphene The Canadian Journal of Chemical Engineering (2016).
9-Alhumade, H., Yu, A., Elkamel, A., Simon, L., & Abdala, A. (2016) “Enhanced protective properties and UV stability of epoxy/graphene nanocomposite coating on stainless steel”. Express Polymer Letters, 4, 7.
10-H. Alhumade and J. Azaiez, “Numerical Simulations of Gravity Driven Reversible Reactive Flows in Homogeneous Porous Media” J. Math. Prob. Eng. Vol. 2015 (2015).
11-H. Alhumade and J. Azaiez. “Numerical Simulations of Reversible Reactive Flows in Homogeneous Porous Media”, Journal of Porous Media V.17, no.4 (2014).
12-H. Alhumade and J. Azaiez. “Stability Analysis of Reversible Reactive Flow Displacements in Porous Media”, Chemical Engineering Science V.101 (2013).
Conference papers:
1- Alhumade, H., Yu, A., Elkamel, A., & Simon, L. Optimizing Corrosion Protection of Stainless Steel 304 by Epoxy-Graphene Composite using Factorial Experimental Design IEOM, 2016.
2-Hesham Alhumade, Erij Elkamel, Hiba Nauman, Aiping Yu, Ali Elkamel “GRAPHENE BASED COMPOSITES FOR CORROSION INHIBITION OF STAINLESS STEEL 304” International Journal of Technical Research and Applications, Special Issue 28, 33-38 (2015).
3-H. Alhumade and J. Azaiez. "Reversible Reactive Flow Displacements in Homogeneous Porous Proceedings of the World Congress on Engineering. Vol. 3. 2013.
Book chapters:
1-H. Alhumade and J. Azaiez, “Viscous Fingering of Reversible Reactive Flows in Porous Media” Transactions on Engineering Technologies, 1-15, G. Yang, S. Ao and L. Gelman (Ed), Springer, New York (2014).
2-Alhumade, H., Nogueira, R. P., Yu, A., Simon, L., & Elkamel, A. (2019). Functional Graphene Oxide/Epoxy Nanocomposite Coatings with Enhanced Protection Properties. Handbook of Graphene, Volume 4: Composites, 419.