Ahmed Hamza Osman Ahmed | Data Science | Best Researcher Award

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Prof. Dr. Ahmed Hamza Osman Ahmed | Data Science | Best Researcher Award

Professor of Computer Science | King Abdulaziz University | Saudi Arabia

Prof. Dr. Ahmed Hamza Osman Ahmed is a distinguished computer scientist and cybersecurity expert whose research bridges artificial intelligence, information security, and data privacy. With over 70 peer-reviewed publications in prestigious journals such as IEEE, Elsevier, and Springer, his scholarly impact is evidenced by 709 citations across 658 documents and an h-index of 14, underscoring his significant contributions to the field. His research encompasses AI-driven cybersecurity systems, intrusion detection, digital forensics, and blockchain-based data integrity, with several funded projects advancing intelligent threat prediction and misinformation detection. Prof. Ahmed has played a pivotal role in developing ABET-aligned curricula, integrating machine learning into cybersecurity education, and supervising more than 25 postgraduate theses in cybersecurity and data science. Internationally recognized for academic excellence, he has received awards such as the Gold Medal at PECIPTA 2011 and Best Postgraduate Student at Universiti Teknologi Malaysia. His extensive collaborations across Saudi Arabia, Malaysia, and Sudan reflect his commitment to fostering global research partnerships and advancing secure, AI-empowered digital ecosystems. Through his leadership in teaching, research, and academic service, Prof. Ahmed continues to contribute to shaping the future of cybersecurity and artificial intelligence with profound educational and societal impact.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Elssied, N. O. F., Ibrahim, O., & Osman, A. H. (2014). A novel feature selection based on one-way ANOVA F-test for e-mail spam classification. Research Journal of Applied Sciences, Engineering and Technology, 7(3), 625–638. Citations: 223

  2. Elhadi, A. A. E., Maarof, M. A., & Osman, A. H. (2012). Malware detection based on hybrid signature behaviour application programming interface call graph. American Journal of Applied Sciences, 9(3), 283–293. Citations: 137

  3. Osman, A. H., Salim, N., Binwahlan, M. S., Alteeb, R., & Abuobieda, A. (2012). An improved plagiarism detection scheme based on semantic role labeling. Applied Soft Computing, 12(5), 1493–1502. Citations: 128

  4. Osman, A. H., & Aljahdali, H. M. (2020). An effective ensemble boosting learning method for breast cancer virtual screening using neural network model. IEEE Access. https://doi.org/10.1109/ACCESS.2020.2976149 Citations: 93

  5. Abuobieda, A., Salim, N., Albaham, A. T., Osman, A. H., & Kumar, Y. J. (2012). Text summarization features selection method using pseudo genetic-based model. In Proceedings of the 2012 International Conference on Information Retrieval & Knowledge Management (pp. 84–89). Citations: 84

Hossein Amiri | Environmental Science | Best Researcher Award

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Dr. Hossein Amiri | Environmental Science | Best Researcher Award

Associate Professor, Faculty of Economics | Kharazmi University | Iran

Dr. Hossein Amiri is an Associate Professor in the Faculty of Economics at Kharazmi University, specializing in financial economics, econometrics, and macroeconomic policy modeling. His scholarly work bridges theoretical and applied research in monetary and fiscal policy, energy economics, financial stability, and sustainable development, particularly in oil-exporting and resource-dependent economies. Dr. Amiri’s academic excellence is reflected in his extensive research contributions, including publications in leading journals such as Resources Policy, Energy, Environmental Science and Pollution Research, and the Journal of Environmental Management. His research projects, conducted in collaboration with the Central Bank of Iran and the Ministry of Economy and Finance, address critical national priorities such as financial stability frameworks and the economic implications of policy expectations. With 201 citations across 199 documents, 10 publications, and an h-index of 5, Dr. Amiri demonstrates a growing global research footprint. Recognized as a top and young researcher at Kharazmi University and the Alborz province, he has also been honored by the National Elites Foundation of Iran. His multidisciplinary expertise and leadership roles ranging from directing applied research and entrepreneurship centers to serving on faculty recruitment and innovation committees underscore his dedication to advancing Iran’s economic research ecosystem and fostering academic-industry linkages for national development.

Featured Publications

  1. Amiri, H., Samadian, F., Yahoo, M., & Jamali, S. J. (2019). Natural resource abundance, institutional quality and manufacturing development: Evidence from resource-rich countries. Resources Policy, 62, 550–560. [Citations: 104]

  2. Amiri, H., Sayadi, M., & Mamipour, S. (2021). Oil price shocks and macroeconomic outcomes: Fresh evidences from a scenario-based NK-DSGE analysis for oil-exporting countries. Resources Policy, 74, 102262. [Citations: 60]

  3. Mehrara, M., Musai, M., & Amiri, H. (2010). The relationship between health expenditure and GDP in OECD countries using PSTR. European Journal of Economics, Finance and Administrative Sciences, 24, 1450–2275. [Citations: 48]

  4. Amiri, H., Pirdadeh Beyranvand, M., Norouzi Amogin, F., & Alizadeh, S. (2018). Estimation of vulnerability and resilience indicators in Iran economy. Quarterly Journal of the Macro and Strategic Policies, 6(23), 434–455. [Citations: 31]

  5. Mamipour, S., Beheshtipour, H., Feshari, M., & Amiri, H. (2019). Factors influencing carbon dioxide emissions in Iran’s provinces with emphasis on spatial linkages. Environmental Science and Pollution Research, 26(18), 18365–18378. [Citations: 28]

Andrea Gobbo | Molecular Biology | Best Researcher Award

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Andrea Gobbo | Molecular Biology | Best Researcher Award

Research scientist | Transversal Activities in Applied Genomics | Belgium

Ms. Andrea Gobbo, is a molecular biologist and research scientist specializing in molecular biology, genomics, and food safety within the framework of One Health. His expertise lies in the development and validation of advanced molecular detection methods, including qPCR and digital droplet PCR (ddPCR), for the identification and quantification of genetically modified organisms (GMO/GMM), antimicrobial resistance (AMR) genes, and microbial contaminants across diverse biological and environmental matrices. At Sciensano, he has contributed to numerous multidisciplinary national and international projects such as NAP-AMR, CoVWWSurv, ENSURED, METAMORPHOSE, and DARWIN, focusing on food safety, microbial contamination, and environmental health surveillance. His research supports global efforts to strengthen food authenticity, ensure product safety, and enhance AMR monitoring in environmental systems. He is also actively involved in mentoring university students, laboratory coordination, and scientific communication through peer-reviewed publications and international conference presentations. Andrea Gobbo’s scholarly achievements demonstrate a strong commitment to scientific innovation and public health protection. His contributions include the development of reliable molecular assays for environmental biosurveillance and genomic characterization of microorganisms relevant to food and health safety. His publications, appearing in respected international journals such as Food Research International, Frontiers in Microbiology, Water Environment Research, and Heliyon, highlight his role in bridging molecular biology with applied public health research. Andrea Gobbo’s academic impact is evidenced by 34 citations by 27 documents, 10 publications, and an h-index of 3, underscoring his growing influence in molecular diagnostics and genomic surveillance. His collaborative work continues to advance the integration of molecular tools in One Health initiatives, promoting sustainable and science-driven solutions for global biosecurity and environmental safety.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

  1. Fraiture, M.-A., Gobbo, A., Marchesi, U., Verginelli, D., Papazova, N., & Roosens, N. H. C. (2021). Development of a real-time PCR marker targeting a new unauthorized genetically modified microorganism producing protease identified by DNA walking. International Journal of Food Microbiology, 354, 109330. Citations: 13

  2. Fraiture, M.-A., Gobbo, A., Papazova, N., & Roosens, N. H. C. (2022). Development of a taxon-specific real-time PCR method targeting the Bacillus subtilis group to strengthen the control of genetically modified bacteria in fermentation products. Fermentation, 8(2), 78. Citations: 8

  3. Van Poelvoorde, L. A. E., Picalausa, C., Gobbo, A., Verhaegen, B., Lesenfants, M., Herman, P., Van Hoorde, K., & Roosens, N. H. C. (2023). Development of a droplet digital PCR to monitor SARS-CoV-2 omicron variant BA.2 in wastewater samples. Microorganisms, 11(3), 729. Citations: 7

  4. Gobbo, A., Fraiture, M.-A., Van Poelvoorde, L. A. E., De Keersmaecker, S. C. J., Garcia-Graells, C., Van Hoorde, K., Verhaegen, B., Huwaert, A., Maloux, H., Hutse, V., Ceyssens, P.-J., & Roosens, N. H. C. (2024). Strategy to develop and validate digital droplet PCR methods for global antimicrobial resistance wastewater surveillance. Water Environment Research, 96(11), e11145. Citations: 4

  5. Fraiture, M.-A., Gobbo, A., Guillitte, C., Marchesi, U., Verginelli, D., De Greve, J., D’aes, J., Vanneste, K., Papazova, N., & Roosens, N. H. C. (2024). Pilot market surveillance of GMM contaminations in alpha-amylase food enzyme products: A detection strategy strengthened by a newly developed qPCR method targeting a GM Bacillus licheniformis producing alpha-amylase. Food Chemistry: Molecular Sciences, 8, 100186. Citations: 3

Lucia Camelia Pirvu | Materials Science | Best Collaborative Research Award 

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Dr. Lucia Camelia Pirvu | Materials Science | Best Collaborative Research Award 

Senior Researches | National Institute of Chemical Pharmaceutical R&D | Romania

Dr. Lucia Camelia Pîrvu is a senior researcher and biochemist at the National Institute of Chemical Pharmaceutical Research and Development (ICCF), Bucharest, Romania. With over 29 years of dedicated research and innovation in pharmaceutical biotechnology, she has significantly contributed to the advancement of natural and plant-derived products for medicinal, agricultural, cosmetic, and hygienic applications. Her expertise encompasses the design and development of novel phytoproducts, extraction technologies, and advanced analytical characterization methods for active botanical compounds, alongside pre-pharmacological screening and ROS activity assessments. Dr. Pîrvu has coordinated and managed 12 interdisciplinary research projects funded by national and European programs, with a cumulative budget exceeding €4 million. Notable among these are pioneering studies on ecological laser technologies, natural antimicrobial agents, and herbal products targeting metabolic and gastrointestinal disorders. Her leadership has strengthened technology transfer between public research institutions and private industries, fostering innovation in Romania’s bioeconomy and sustainable health sectors. Her academic impact is underscored by 401 citations across 361 documents, 51 publications, and an h-index of 12, reflecting her recognized contribution to biochemistry and pharmaceutical sciences. Dr. Pîrvu’s research integrates molecular biology, phytochemistry, and green chemistry approaches to develop safer, eco-friendly bioactive formulations. Through international collaborations and participation in EU-funded consortia, she has promoted interdisciplinary dialogue between academia and industry. Her scientific vision emphasizes the valorization of plant resources through innovative, sustainable biotechnological processes that support human health and environmental well-being. As a project leader, mentor, and expert in herbal medicine research, Dr. Lucia Camelia Pîrvu continues to shape the evolution of natural product-based pharmaceutical development in Romania and beyond.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Pîrvu, L., Hlevca, C., Nicu, I., & Bubueanu, C. (2014). Comparative studies on analytical, antioxidant, and antimicrobial activities of a series of vegetal extracts prepared from eight plant species growing in Romania. JPC–Journal of Planar Chromatography–Modern TLC, 27(5), 346–356. Citations: 58

  2. Armatu, A., Colceru-Mihul, S., Bubueanu, C., Draghici, E., & Pîrvu, L. (2010). Evaluation of antioxidant and free scavenging potential of some Lamiaceae species growing in Romania. Romanian Biotechnological Letters, 15(3), 5274–5280. Citations: 53

  3. Pîrvu, L., Dragomir, C., Schiopu, S., & Mihul, S. C. (2012). Vegetal extracts with gastroprotective activity. Part I. Extracts obtained from Centaurea cyanus L. raw material. Romanian Biotechnological Letters, 17(2), 7169–7176. Citations: 34

  4. Stefaniu, A., Pîrvu, L., Albu, B., & Pintilie, L. (2020). Molecular docking study on several benzoic acid derivatives against SARS-CoV-2. Molecules, 25(24), 5828. Citations: 31

  5. Grigore, A., Bubueanu, C., Pîrvu, L., Ionita, L., & Toba, G. (2015). Plantago lanceolata L. crops – source of valuable raw material for various industrial applications. [Publication details not specified]. Citations: 31

ChangLong Wen | Molecular Biology | Best Scholar Award

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Prof. Dr. ChangLong Wen | Molecular Biology | Best Scholar Award 

Director | Beijing Agriculture And Forestry Academy Of Sciences | China 

Dr. Changlong Wen is a distinguished Professor and Director at the Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences (BAAFS), specializing in vegetable molecular breeding, genomics, and biotechnology. His research has significantly advanced the molecular breeding and improvement of key horticultural crops such as cucumber, watermelon, hot pepper, and zucchini, focusing on traits like yield, disease resistance, and stress tolerance. Dr. Wen’s scientific excellence is reflected in his 2,249 citations, 66 peer-reviewed publications, and an h-index of 29, underscoring his influential contributions to plant science and agricultural biotechnology. He has published in prestigious journals including Nature Communications, Plant Physiology, Plant Biotechnology Journal, and Journal of Integrative Plant Biology. His work on molecular regulation of plant growth and genome-wide gene mining has provided critical insights into crop improvement strategies at both national and international levels. A recipient of numerous national and provincial science awards, Dr. Wen has been honored with distinctions such as the ShenNong Scholar Young Talent (2024), Beijing Scholar Young Talent (2024), and National Talent Program Young Talent (2021). His leadership has contributed to several major Science and Technology Progress Awards, reflecting innovation in genomic breeding technologies and the successful development of high-quality crop varieties. Through his extensive collaborations and translational research, Dr. Wen continues to drive advancements in sustainable agriculture and food security, bridging fundamental plant genomics with applied breeding technologies to benefit both scientific communities and society at large.

Profiles: Scopus | ORCID |ResearchGate

Featured Publications

  1. Zhang, X., … Wen, C. L.* (2025). The natural Msc-4 allele confers genic male sterility via conserved and divergent gene regulatory mechanisms in pepper. Plant Physiology.

  2. Xia, C. X., … Wen, C. L.* (2025). The silicon efflux transporter BEC1 is essential for bloom formation and stress tolerance in cucumber. Journal of Integrative Plant Biology.

  3. Li, Y., … Wen, C. L.* (2025). CAD1 enhances antioxidant activity to facilitate cold storage by regulating flavonoid synthesis in cucumber. Agriculture Communications. (5 citations)

  4. Liu, H., … Wen, C. L.* (2025). Telomere-to-telomere genome assembly of eggplant (Solanum melongena L.) promotes gene fine localization of the green stripe (GS) in pericarp. International Journal of Biological Macromolecules.

  5. Zhou, P., … Wen, C. L.* (2024). Identification of powdery mildew resistance-related genes in butternut squash (Cucurbita moschata). International Journal of Molecular Sciences. (3 citations)

Mehran Torki | Environmental Science | Best Researcher Award

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Assoc. Prof. Dr. Mehran Torki | Environmental Science | Best Researcher Award 

Academic Staff | Razi University | Iran

Dr. Mehran Torki is a distinguished academic and researcher specializing in poultry nutrition, avian physiology, and feed additive innovations, with a strong record of advancing sustainable poultry production and animal health. His research explores the physiological and nutritional mechanisms influencing poultry performance, focusing on functional feed ingredients such as probiotics, enzymes, phytogenic compounds, and novel protein sources including insect meals. By integrating nutrition, physiology, and sustainability, his studies contribute to improving feed efficiency, egg quality, immune responses, and welfare in commercial poultry systems. Dr. Torki has established productive collaborations with international research groups, contributing to the development of innovative feeding strategies that reduce environmental impacts while maintaining economic viability. He has authored 79 peer-reviewed publications in leading scientific journals such as Poultry Science, Veterinary Medicine and Science, and Animal Production Science, with his research being cited 1,184 times and achieving an h-index of 20, reflecting his growing global influence and research excellence. A reviewer for more than 50 JCR-indexed journals and an active member of several international poultry and animal science associations, he is recognized for his scholarly rigor, leadership, and commitment to academic integrity. Dr. Torki’s innovative research continues to inform practical applications in animal nutrition and agricultural sustainability, supporting global efforts to enhance food security, improve production efficiency, and promote environmentally responsible livestock systems.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Najafi, P., & Torki, M. (2010). Performance, blood metabolites and immunocompetence of broiler. Journal of Animal and Veterinary Advances, 9(7), 1164–1168. Citations: 219

  2. Akbari, M., Torki, M., & Kaviani, K. (2016). Single and combined effects of peppermint and thyme essential oils on productive performance, egg quality traits, and blood parameters of laying hens reared under cold stress conditions. International Journal of Biometeorology, 60(3), 447–454. Citations: 146

  3. Ghasemi, R., Zarei, M., & Torki, M. (2010). Adding medicinal herbs including garlic (Allium sativum) and thyme (Thymus vulgaris) to diet of laying hens and evaluating productive performance and egg quality characteristics. American Journal of Animal and Veterinary Sciences, 5(2), 151–154. Citations: 131

  4. Akbari, M., & Torki, M. (2014). Effects of dietary chromium picolinate and peppermint essential oil on growth performance and blood biochemical parameters of broiler chicks reared under heat stress conditions. International Journal of Biometeorology, 58(6), 1383–1391. Citations: 123

  5. Mahdavi, R., & Torki, M. (2009). Study on usage period of dietary protected butyric acid on performance. Journal of Animal and Veterinary Advances, 8(9), 1702–1709. Citations: 114

Eveline Bezerra | Computational Chemistry | Best Researcher Award

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Prof. Dr. Eveline Bezerra | Computational Chemistry | Best Researcher Award

Professor | Federal Rural University of Semi-Arid | Brazil

Dr. Eveline Matias Bezerra is a Brazilian physicist and researcher recognized for her interdisciplinary work bridging atomic and molecular physics, quantum biochemistry, and nanotechnology applied to health. Her research integrates advanced computational simulations and molecular modeling to explore the structural, electronic, and optical properties of molecules, biomolecules, and nanostructured materials, contributing to the development of novel therapeutic and technological applications. With a focus on neurodegenerative diseases, cancer, and Chagas disease, her studies have provided quantum-level insights into drug-protein interactions and the behavior of bioactive compounds at the nanoscale. She has published 20 scientific papers, which have collectively received 391 citations by 285 documents, and she holds an h-index of 13, demonstrating her growing international impact in computational and theoretical biophysics. Dr. Bezerra’s contributions have been featured in prominent journals, including ACS Chemical Neuroscience and RSC Advances, where her recent works addressed molecular mechanisms in Alzheimer’s therapy and optical properties of donor–acceptor systems. Actively engaged in national and international collaborations, she plays a pivotal role in advancing quantum biochemistry and materials science research in Brazil. Beyond her publications, Dr. Bezerra has made significant contributions to scientific mentoring and academic development, guiding students in physics, biotechnology, and pharmaceutical sciences. Her work exemplifies the integration of computational physics and biomedical innovation, contributing to societal health solutions and technological progress through interdisciplinary science.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Da Costa, R. F., Freire, V. N., Bezerra, E. M., Cavada, B. S., Caetano, E. W. S., & others. (2012). Explaining statin inhibition effectiveness of HMG-CoA reductase by quantum biochemistry computations. Physical Chemistry Chemical Physics, 14(4), 1389–1398. [Citations: 98]

  2. Dantas, D. S., Oliveira, J. I. N., Neto, J. X. L., da Costa, R. F., Bezerra, E. M., Freire, V. N., & others. (2015). Quantum molecular modelling of ibuprofen bound to human serum albumin. RSC Advances, 5(61), 49439–49450. [Citations: 52]

  3. Zanatta, G., Nunes, G., Bezerra, E. M., da Costa, R. F., Martins, A., Caetano, E. W. S., & others. (2014). Antipsychotic haloperidol binding to the human dopamine D3 receptor: Beyond docking through QM/MM refinement toward the design of improved schizophrenia medicines. ACS Chemical Neuroscience, 5(10), 1041–1054. [Citations: 46]

  4. Tessarolo, L. D., Mello, C. P., Lima, D. B., Magalhães, E. P., Bezerra, E. M., & others. (2018). Nanoencapsulation of benznidazole in calcium carbonate increases its selectivity to Trypanosoma cruzi. Parasitology, 145(9), 1191–1198. [Citations: 34]

  5. Zanatta, G., Barroso-Neto, I. L., Bambini-Junior, V., Dutra, M. F., Bezerra, E. M., & others. (2012). Quantum biochemistry description of the human dopamine D3 receptor in complex with the selective antagonist eticlopride. Journal of Proteomics & Bioinformatics, 5, 155–162. [Citations: 32]

Nur Intan Raihana Ruhaiyem | Machine Learning | Best Researcher Award

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Dr. Nur Intan Raihana Ruhaiyem | Machine Learning | Best Researcher Award

Senior Lecturer | Universiti Sains Malaysia | Malaysia

Dr. Nur Intan Raihana Ruhaiyem is a highly accomplished researcher and Senior Lecturer at the School of Computer Sciences, Universiti Sains Malaysia, with notable expertise in computational biology, image processing, data visualization, and artificial intelligence applications. Her research spans deep learning, computer vision, and biomedical informatics, focusing on developing intelligent systems that enhance healthcare diagnostics, cultural heritage preservation, and data-driven decision-making. She has authored over 50 scholarly publications in reputable international journals and conferences, including IEEE Access, Biomedical Signal Processing and Control, Intelligence-Based Medicine, Diagnostics (Basel), Image and Vision Computing, and Scientific Reports. Her works have collectively garnered more than 230 citations and an h-index of 7, underscoring her growing impact in the computational and data science research community. Recent contributions such as the development of Mamba-based UNet architectures for medical image segmentation and hybrid restoration models for historical murals reflect her capacity to integrate advanced AI models into multidisciplinary domains. Dr. Ruhaiyem’s collaborative research extends internationally, with partnerships involving scholars from Australia, China, and the broader ASEAN region. Her role as a technical committee member for several prominent conferences—such as the International Visual Informatics Conference and Soft Computing in Data Science—demonstrates her leadership in promoting innovation and research excellence in data science and visual analytics. A Certified Professional Trainer recognized by Malaysia’s Human Resources Development Fund, she has also played a key role in professional education, serving as a lead instructor for national Data Science Certification programs. Through her research, mentorship, and active academic engagement, Dr. Ruhaiyem contributes significantly to advancing digital transformation, fostering analytical literacy, and bridging computational intelligence with societal needs.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

1. Younis, H. A., Ruhaiyem, N. I. R., Ghaban, W., Gazem, N. A., & Nasser, M. (2023). A systematic literature review on the applications of robots and natural language processing in education. Electronics, 12(13), 2864. Citations: 75

2. Salisu, S., Ruhaiyem, N. I. R., Eisa, T. A. E., Nasser, M., Saeed, F., & Younis, H. A. (2023). Motion capture technologies for ergonomics: A systematic literature review. Diagnostics, 13(15), 2593. Citations: 63

3. Goni, M. R., Ruhaiyem, N. I. R., Mustapha, M., Achuthan, A., & Nassir, C. M. N. C. M. (2022). Brain vessel segmentation using deep learning—A review. IEEE Access, 10, 111322–111336. Citations: 42

4. Yang, J., & Ruhaiyem, N. I. R. (2024). Review of deep learning-based image inpainting techniques. IEEE Access, 12, 138441–138482. Citations: 17

5. Younis, H. A., Ruhaiyem, N. I. R., Badr, A. A., Abdul-Hassan, A. K., Alfadli, I. M., & others. (2023). Multimodal age and gender estimation for adaptive human-robot interaction: A systematic literature review. Processes, 11(5), 1488. Citations: 16