Mona Mohammed Saleh Alghamdi

@iau.edu.sa

College of Arts/Department of Arabic Language/Associate Professor in Literary and Critical Studies/Children’s Literature
Imam Abdulrahman Bin Faisal University: Dammam

Mona Mohammed Saleh Alghamdi


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https://researchid.co/mmalghamdi
Faculty member at Imam Abdul Rahman bin Faisal University / College of Arts / Department of Arabic Language / Associate Professor in Literary and Critical Studies / Specific specialty is children’s literature

RESEARCH, TEACHING, or OTHER INTERESTS

General Arts and Humanities, Arts and Humanities, Literature and Literary Theory, Language and Linguistics
6

Scopus Publications

372

Scholar Citations

12

Scholar h-index

13

Scholar i10-index

Scopus Publications

  • A Method for Identification of Humans from Dorsal Hand Sub-Images Using Siamese Network Models
    Mona Alghamdi, Alvaro Lopez Pellicer
    IEEE Access, 2026
  • Person identification from fingernails and knuckles images using deep learning features and the Bray-Curtis similarity measure
    Mona Alghamdi, Plamen Angelov, Lopez Pellicer Alvaro
    Neurocomputing, 2022
    In this paper, an approach that makes use of knuckle creases and fingernails for person identification is presented. It introduces a framework for automatic person identification that includes localisation of the region of interest (ROI) of many components within hand images, recognition and segmentation of the detected components using bounding boxes, and similarity matching between two different sets of segmented images. The following hand components are considered: i) the metacarpophalangeal (MCP) joint, commonly known as the base knuckle; ii) the proximal interphalangeal (PIP) joint, commonly known as the major knuckle; iii) the distal interphalangeal (DIP) joint, commonly known as the minor knuckle; iv) the interphalangeal (IP) joint, commonly known as the thumb knuckle, and v) the fingernails. Crucial elements of the proposed framework are the feature extraction and similarity matching. This paper exploits different deep learning neural networks (DLNNs), which are essential in extracting discriminative high-level abstract features. We further use various similarity measures for the matching process. We validate the proposed approach on well-known benchmarks, including the 11k Hands dataset and the Hong Kong Polytechnic University Contactless Hand Dorsal Images known as PolyU. The results indicate that knuckle patterns and fingernails play a significant role in the person identification framework. The 11K Hands dataset results indicate that the left-hand results are better than the right-hand results and the fingernails produce consistently higher identification results than other hand components, with a rank-1 score of 100%. In addition, the PolyU dataset attains 100% in the fingernail of the thumb finger.
  • A Multi-modal Biometric Approach Based on Score-level Fusion and Fine-tuning Deep Learning Features
    Mona Alghamdi
    2022 IEEE 11th International Conference on Intelligent Systems is 2022, 2022
    This paper presents a multimodal biometric approach applied to all fingernails and knuckle creases of the five human fingers for identifying persons. In this paper, the proposed biometric technique consists of several phases. The method starts with the detection and localisation of the main components of the hand, defining the region of interest (ROI), segmentation, feature extraction by retraining the DenseNet201 model, measuring the similarity using different metrics, and lastly, improving the person identification performance by implementing score-level fusion. This approach presents different methods for person identification, which combine fingernails, knuckles based on the modality type, and whole hands based on different similarity metrics. This paper uses various similarity metrics to distinguish between individuals. These include the Bray-Curtis, Cosine, and Euclidean metrics. Two main score-level fusion techniques are employed: the majority voting (MV) and weighted average (WA). The experimental results are evaluated with well-known databases, the ’11k Hands’ and the Hong Kong Polytechnic University Contactless Hand Dorsal Images ’PolyU’, show the proposed algorithm’s efficiency. Using the MV on the Bray-Curtis similarity measure, the fingernail-based and the base-knuckle- based fusion obtained 100% in the identification estimation. In addition, the identification rate gained 100% in regions of hands and whole hands from the two popular datasets exceeded the performance of the state-of-the-art approaches.
  • Poetic Discourse Transformations in the Praise Poem of Al-Mutanabi Poems in Praise of Adad Al-Dawla Al-Buihi as a Model
    Layla Radwan, Mona Alghamdi
    Dirasat Human and Social Sciences, 2022
    The research examines the transformations of the poetic discourse in the praise poem of Al-Mutanabi to reveal the various influences that contributed to the formation of this discourse, the emergence of the active subject in it, and its disappearance in his praise of the support of the Al-Buihi state, and what followed this in the meanings that contradict with his entire poetry. His praise speech went through two phases that drew the limits of his literary life and normal life and were reflected in the construction of his praise poem after the poet threw his ambition on the thresholds of politics. From the origins of the art of praise; To highlight the transformation in his speech and to realize the technical characteristic of the praise poem and its connection with the transformation of the poet's personality from one condition to another. The research raises the problem of the shift in the praised discourse of Al-Mutanabbi between two stages of his life, to show the effect of changing the relationship between the two sides of the praise poem. The research ended with linking the shifts in the poetic discourse of Al-Mutanabi with the transformations of his life in which the ego moved from clamor to silence and nothingness, and his transfer of the praise poem into an act and value targeting the praised aesthetically and culturally.
  • Automated Person Identification Framework Based on Fingernails and Dorsal Knuckle Patterns
    Mona Alghamdi, Plamen Angelov, Bryan Williams
    2021 IEEE Symposium Series on Computational Intelligence Ssci 2021 Proceedings, 2021
    Handimages are of paramount importance within critical domains like security and criminal investigation. They can sometimes be the only available evidence of an offender's identity at a crime scene. Approaches to person identification that consider the human hand as a complex object composed of many components are rare. The approach proposed in this paper fills this gap, making use of knuckle creases and fingernail information. It introduces a framework for automatic person identification that includes localisation of the regions of interest within hand images, recognition of the detected components, segmentation of the region of interest using bounding boxes, and similarity matching between a query image and a library of available images. The following hand components are considered: i) the metacarpohalangeal, commonly known as base knuckle; ii) the proximal interphalangeal joint commonly known as major knuckle; iii) distal interphalangeal joint, commonly known as minor knuckle; iv) the interphalangeal joint, commonly known as thumb's knuckle, and v) the fingernails. A key element of the proposed framework is the similarity matching and an important role for it is played by the feature extraction. In this paper, we exploit end-to-end deep convolutional neural networks to extract discriminative high-level abstract features. We further use Bray-Curtis (BC) similarity for the matching process. We validated the proposed approach on well-known benchmarks, the ‘11k Hands' dataset and the Hong Kong Polytechnic University Contactless Hand Dorsal Images known as ‘PolyU HD’. We found that the results indicate that the knuckle patterns and fingernails play a significant role in the person identification. The results from the 11K dataset indicate that the results for the left hand are better than the results for the right hand. In both datasets, the fingernails produced consistently higher identification results than other hand components, with a rank-1 score of 93.65% on the ring finger of the left hand for the ‘11k Hands' dataset and rank-l score of 93.81% for the thumb from the ‘PolyU HD’ dataset.
  • Self-Organising and Self-Learning Model for Soybean Yield Prediction
    Mona Alghamdi, Plamen Angelov, Raul Gimenez, Mariana Rufino, Eduardo Soares
    2019 6th International Conference on Social Networks Analysis Management and Security Snams 2019, 2019
    Machine learning has arisen with advanced data analytics. Many factors influence crop yield, such as soil, amount of water, climate, and genotype. Determining factors that significantly influence yield prediction and identify the most appropriate predictive methods are important in yield management. It is critical to consider and study the combination of different crop factors and their impact on the yield. The objectives of this paper are: (1) to use advanced data analytic techniques to precisely predict the soybean crop yields, (2) to identify the most influential features that impact soybean predictions, (3) to illustrate the ability of Fuzzy Rule-Based (FRB) sub-systems, which are self-organizing, self-learning, and data-driven, by using the recently developed Autonomous Learning Multiple-Model First-order (ALMMo-1) system, and (4) to compare the performance with other well-known methods. The ALMMo-1 system is a transparent model, which stakeholders can easily read and interpret. The model is a data-driven and composed of prototypes selected from the actual data. Many factors affect the yield, and data clouds can be formed in the feature/data space based on the data density. The data cloud is the key to the IF part of FRB sub-systems, while the THEN part (the consequences of the IF condition) illustrates the yield prediction in the form of a linear regression model, which consists of the yield features or factors. In addition, the model can determine the most influential features of the yield prediction online. The model shows an excellent prediction accuracy with a Root Mean Square Error (RMSE) of 0.0883, and Non-Dimensional Error Index (NDEI) of 0.0611, which is competitive with state-of-the-art methods.

RECENT SCHOLAR PUBLICATIONS

  • The induction effect of Anastatica hierochuntica, Cassia alexandrina and Rumex vesicarius plant aqueous extracts on cytochrome P-450 enzyme gene expression
    M Alruzaihi, Z Alehaideb, M Boudjelal
    Planta Medica 92 (03), P220 , 2026
    2026
  • A Novel Integrated Approach: Plant-Mediated Synthesis, in vitro and in silico Evaluation of Silver Nanoparticles for Breast Cancer and Bacterial Therapies
    SS Alghamdi, HA Alhaidal, AE Mohammed, A Alsubait, MD Alshammari, ...
    International Journal of Nanomedicine, 10043-10071 , 2025
    2025
    Citations: 5
  • Boswellia carteri Birdw. Resin Extract Induces Phase-I Cytochrome P-450 Enzyme Gene Expressions in Human Hepatocarcinoma (Hep G2) Cells: In vitro and in …
    SS Alghamdi, HN Albahlal, RS Alajmi, A Alsharidah, A Almogren, ...
    Biologics: Targets and Therapy, 289-320 , 2025
    2025
    Citations: 1
  • Targeting triple-negative breast cancer: apoptotic and antitumor effects of Artemisia sieberi Besser extracts
    FG Albani, SS Alghamdi, S Matou-Nasri, A Alsubait, R Suliman, ...
    Saudi Pharmaceutical Journal 33 (6), 46 , 2025
    2025
  • The in vitro modulatory effects of Artemisia sieberi on phase-I cytochrome P-450 isoenzyme gene expression using human hepatoma cells (HepG2)
    B Hazazi, A Alsharidah, A Almogren, M Alruzaihi, A Alamro, Z Alehaideb, ...
    Phytochemistry Letters 69, 103743 , 2025
    2025
  • Commiphora myrrha resin extract-modulated cytochrome P-450 2C9 enzyme expression in cultured Hep G2 cells is associated with resin extract-derived …
    A Alsharidah, Z Alehaideb, SS Alghamdi, RS Suliman, S Althenayyan, ...
    BMC Complementary Medicine and Therapies 25 (1), 247 , 2025
    2025
    Citations: 2
  • Pharmacological profiling of calotropis procera and rhazya stricta: unraveling the antibacterial and anti-cancer potential of chemically active metabolites
    SS Alghamdi, AY Alturki, R Ali, RS Suliman, AE Mohammed, A Al Dairem, ...
    Journal of Cancer 16 (1), 12 , 2025
    2025
    Citations: 8
  • Modulatory effects of oxytocin on normal human cultured melanocyte proliferation, migration, and melanogenesis
    MM Alanazi, S Alsanea, A Kumar, Z Alehaideb, S Matou-Nasri, ...
    Tissue and Cell 91, 102579 , 2024
    2024
    Citations: 2
  • Preliminary findings on the absence of PEPITEM release in B cells isolated from Saudi donors: implications for expanded population studies
    M Alassiri, A Alanazi, T Barhoumi, B Alrfaei, M Alanazi, M Rashid, ...
    American Journal of Clinical and Experimental Immunology 13 (5), 215 , 2024
    2024
  • Identification of Anastatica hierochuntica L. Methanolic-Leaf-Extract-Derived Metabolites Exhibiting Xanthine Oxidase Inhibitory Activities: In Vitro and In Silico …
    S Rameshbabu, Z Alehaideb, SS Alghamdi, RS Suliman, F Almourfi, ...
    Metabolites 14 (7), 368 , 2024
    2024
    Citations: 6
  • Pharmacological p38 MAPK inhibitor SB203580 enhances AML stem cell line KG1a chemosensitivity to daunorubicin by promoting late apoptosis, cell growth arrest in S-phase, and …
    S Bahattab, A Assiri, Y Alhaidan, T Trivilegio, R AlRoshody, S Huwaizi, ...
    Saudi Pharmaceutical Journal 32 (6), 102055 , 2024
    2024
    Citations: 3
  • Exploring the potential of Ziziphus nummularia and luteolin-7-O-glucoside as tubulin inhibitors in cancer therapy and survival
    SS Alghamdi, SA Alghashem, R Ali, A Alsubait, RS Suliman, ...
    Scientific Reports 14 (1), 7202 , 2024
    2024
    Citations: 5
  • Nanoparticles Derived from Rhazya Stricta: Promising Advances for Anti-Cancer/Anti-Bacterial Treatment-In Vitro Studies
    H Alhaidal, S Alghamdi, L Alsaqer, L Al Tuhayni, F Alanazi, A Mohammed, ...
    MDPI , 2023
    2023
  • Exploring in vitro and in silico biological activities of Calligonum Comosum and Rumex Vesicarius: Implications on anticancer and antibacterial therapeutics
    SS Alghamdi, RA Alshafi, S Huwaizi, RS Suliman, AE Mohammed, ...
    Saudi Pharmaceutical Journal 31 (11), 101794 , 2023
    2023
    Citations: 11
  • Stimulatory effects of Lycium shawii on human melanocyte proliferation, migration, and melanogenesis: In vitro and in silico studies
    K Alghamdi, Z Alehaideb, A Kumar, H Al-Eidi, SS Alghamdi, R Suliman, ...
    Frontiers in Pharmacology 14, 1169812 , 2023
    2023
    Citations: 8
  • Prediction of herb-drug interactions involving consumption of furanocoumarin-mixtures and cytochrome P450 1A2-mediated caffeine metabolism inhibition in humans
    Z Alehaideb
    Saudi Pharmaceutical Journal 31 (3), 444-452 , 2023
    2023
    Citations: 3
  • Storage Stability of Atheroglitatide, an Echogenic Liposomal Formulation of Pioglitazone Targeted to Advanced Atheroma with a Fibrin-Binding Peptide
    K Alghamdi, Z Alehaideb, A Kumar, H Al-Eidi, SS Alghamdi, R Suliman, ...
    2023
  • Rhizophora mucronata Lam. (Mangrove) Bark Extract Reduces Ethanol-Induced Liver Cell Death and Oxidative Stress in Swiss Albino Mice: In Vivo and In Silico …
    C Jairaman, ZI Alehaideb, SAM Yacoob, SS Alghamdi, RS Suliman, ...
    Metabolites 12 (11), 1021 , 2022
    2022
    Citations: 13
  • Achillea fragrantissima (Forssk.) Sch.Bip Flower Dichloromethane Extract Exerts Anti-Proliferative and Pro-Apoptotic Properties in Human Triple-Negative Breast …
    N Alshuail, Z Alehaideb, S Alghamdi, R Suliman, H Al-Eidi, R Ali, ...
    Pharmaceuticals 15 (9), 1060 , 2022
    2022
    Citations: 16
  • Distinct mechanisms of cytotoxicity in novel nitrogenous heterocycles: future directions for a new anti-cancer agent
    RS Suliman, SS Alghamdi, R Ali, I Rahman, T Alqahtani, IK Frah, ...
    Molecules 27 (8), 2409 , 2022
    2022
    Citations: 12

MOST CITED SCHOLAR PUBLICATIONS

  • Herbal melanin inhibits colorectal cancer cell proliferation by altering redox balance, inducing apoptosis, and modulating MAPK signaling
    O Al-Obeed, AS El-Obeid, S Matou-Nasri, MA Vaali-Mohammed, ...
    Cancer Cell International 20 (1), 126 , 2020
    2020
    Citations: 49
  • Evaluation of antimicrobial activity of Triphala constituents and nanoformulation
    Z Omran, A Bader, A Porta, T Vandamme, N Anton, Z Alehaideb, ...
    Evidence‐Based Complementary and Alternative Medicine 2020 (1), 6976973 , 2020
    2020
    Citations: 45
  • Enhancing azithromycin antibacterial activity by encapsulation in liposomes/liposomal-N-acetylcysteine formulations against resistant clinical strains of Escherichia coli
    SA Aljihani, Z Alehaideb, RE Alarfaj, MF Alghoribi, MA Akiel, TH Alenazi, ...
    Saudi Journal of Biological Sciences 27 (11), 3065-3071 , 2020
    2020
    Citations: 32
  • Anastatica hierochuntica (L.) methanolic and aqueous extracts exert antiproliferative effects through the induction of apoptosis in MCF-7 breast cancer cells
    S Rameshbabu, SA Messaoudi, ZI Alehaideb, MS Ali, A Venktraman, ...
    Saudi Pharmaceutical Journal 28 (8), 985-993 , 2020
    2020
    Citations: 29
  • A review on the effects of some selected pyrethroids and related agrochemicals on aquatic vertebrate biodiversity
    SFM Ali, BHH Shieh, Z Alehaideb, MZ Khan, A Louie, N Fageh, FCP Law
    Canadian Journal of Pure & Applied Sciences 5 (2), 1455-1464 , 2011
    2011
    Citations: 29
  • Anti-Proliferative and Pro-Apoptotic Effects of Calligonum comosum (L’Her.) Methanolic Extract in Human Triple-Negative MDA-MB-231 Breast Cancer Cells
    Z Alehaideb, S AlGhamdi, WB Yahya, H Al-Eidi, M Alharbi, M Alaujan, ...
    Journal of Evidence-Based Integrative Medicine 25, 2515690X20978391 , 2020
    2020
    Citations: 21
  • Achillea fragrantissima (Forssk.) Sch.Bip Flower Dichloromethane Extract Exerts Anti-Proliferative and Pro-Apoptotic Properties in Human Triple-Negative Breast …
    N Alshuail, Z Alehaideb, S Alghamdi, R Suliman, H Al-Eidi, R Ali, ...
    Pharmaceuticals 15 (9), 1060 , 2022
    2022
    Citations: 16
  • Rhizophora mucronata Lam. (Mangrove) Bark Extract Reduces Ethanol-Induced Liver Cell Death and Oxidative Stress in Swiss Albino Mice: In Vivo and In Silico …
    C Jairaman, ZI Alehaideb, SAM Yacoob, SS Alghamdi, RS Suliman, ...
    Metabolites 12 (11), 1021 , 2022
    2022
    Citations: 13
  • Commiphora myrrha (Nees) Engl. resin extracts induce phase-I cytochrome P450 2C8, 2C9, 2C19, and 3A4 isoenzyme expressions in human hepatocellular carcinoma (HepG2) cells
    Z Alehaideb, G Alatar, A Nehdi, A Albaz, H Al-Eidi, M Almutairi, E Hawsa, ...
    Saudi Pharmaceutical Journal 29 (5), 361-368 , 2021
    2021
    Citations: 13
  • Predicting the content of anthraquinone bioactive in Rhei rhizome (Rheum officinale Baill.) with the concentration addition model
    Z Alehaideb, KC Chin, MC Yao, FCP Law
    Saudi pharmaceutical journal 27 (1), 25-32 , 2019
    2019
    Citations: 13
  • Distinct mechanisms of cytotoxicity in novel nitrogenous heterocycles: future directions for a new anti-cancer agent
    RS Suliman, SS Alghamdi, R Ali, I Rahman, T Alqahtani, IK Frah, ...
    Molecules 27 (8), 2409 , 2022
    2022
    Citations: 12
  • Inhibition of Caffeine Metabolism by Apiaceous and Rutaceae Families of Plant Products in Humans: In Vivo and In Vitro Studies
    Z Alehaideb, M Sheriffdeen, FCP Law
    Frontiers in Pharmacology 12, 641090 , 2021
    2021
    Citations: 12
  • Exploring in vitro and in silico biological activities of Calligonum Comosum and Rumex Vesicarius: Implications on anticancer and antibacterial therapeutics
    SS Alghamdi, RA Alshafi, S Huwaizi, RS Suliman, AE Mohammed, ...
    Saudi Pharmaceutical Journal 31 (11), 101794 , 2023
    2023
    Citations: 11
  • Bursatella leachii Purple Ink Secretion Concentrate Exerts Cytotoxic Properties against Human Hepatocarcinoma Cell Line (HepG2): In Vitro and In Silico Studies
    ZI Alehaideb, A Venkatraman, M Kokane, SA Mohamed, S Rameshbabu, ...
    Molecules 27 (3), 826 , 2022
    2022
    Citations: 9
  • Pharmacological profiling of calotropis procera and rhazya stricta: unraveling the antibacterial and anti-cancer potential of chemically active metabolites
    SS Alghamdi, AY Alturki, R Ali, RS Suliman, AE Mohammed, A Al Dairem, ...
    Journal of Cancer 16 (1), 12 , 2025
    2025
    Citations: 8
  • Stimulatory effects of Lycium shawii on human melanocyte proliferation, migration, and melanogenesis: In vitro and in silico studies
    K Alghamdi, Z Alehaideb, A Kumar, H Al-Eidi, SS Alghamdi, R Suliman, ...
    Frontiers in Pharmacology 14, 1169812 , 2023
    2023
    Citations: 8
  • Caffeine/Angelica dahurica and caffeine/Salvia miltiorrhiza metabolic inhibition in humans: In vitro and in vivo studies
    MM Sheriffdeen, ZI Alehaideb, FCP Law
    Complementary Therapies in Medicine 46, 87-94 , 2019
    2019
    Citations: 8
  • Furanocoumarin bioactives in the Apiceae and Rutaceae families of plants
    Z Alehaideb, M Sheriffdeen, FCP Law
    Can. J. Pure Appl. Sci 11 (2), 4157-4167 , 2017
    2017
    Citations: 8
  • Identification of Anastatica hierochuntica L. Methanolic-Leaf-Extract-Derived Metabolites Exhibiting Xanthine Oxidase Inhibitory Activities: In Vitro and In Silico …
    S Rameshbabu, Z Alehaideb, SS Alghamdi, RS Suliman, F Almourfi, ...
    Metabolites 14 (7), 368 , 2024
    2024
    Citations: 6
  • Determination of benchmark doses for linear furanocoumarin consumption associated with inhibition of cytochrome P450 1A2 isoenzyme activity in healthy human adults
    Z Alehaideb, S Matou-Nasri
    Toxicology reports 8, 1437-1444 , 2021
    2021
    Citations: 6