Xiaoquan Huang | Health and Medicine Advances | Research Excellence Award

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Dr. Xiaoquan Huang | Health and Medicine Advances | Research Excellence Award

Associate Researcher | Zhongshan Hospital, Fudan University | China

Dr. Xiaoquan Huang is an accomplished clinical researcher whose work centers on gastroenterology, hepatology, metabolic liver disease, portal hypertension, gastrointestinal bleeding, and global disease epidemiology. With 848 Scopus citations, 79 publications, and an h-index of 13, his research demonstrates sustained impact across Health Sciences, Pharmacology & Toxicology, Cardiology, Endocrinology, Geriatrics, Neurology, Psychiatry, Pulmonary Medicine, Radiology, and related clinical domains. His research portfolio features high-quality journal publications in Chinese Medical Journal, Journal of Gastroenterology and Hepatology, Thrombosis and Haemostasis, Endoscopy, Liver International, Therapeutic Advances in Chronic Disease, and Journal of Translational Medicine. His works span clinical investigations, systematic reviews, global burden analyses, and translational studies addressing cirrhosis-related complications, portal vein thrombosis, metabolic-associated fatty liver disease, and early-onset colorectal cancer. Dr. Xiaoquan Huang has also served as a corresponding author on several influential global epidemiology studies focused on colorectal cancer and fatty liver disease burden.  Dr. Xiaoquan Huang’s scholarly contributions include research on variceal bleeding management, endoscopic innovations, thrombosis prediction markers, myeloproliferative neoplasm-associated portal hypertension, and gastrointestinal microbiome trends. His findings have advanced evidence-based approaches for cirrhotic complications, individualized treatment strategies, endoscopic therapy optimization, and risk stratification in liver disease. He has contributed to meta-analyses and systematic reviews, including work on transoral incisionless fundoplication (TIF) for GERD and therapeutic evaluations in portal hypertension, expanding global clinical understanding and practice guidelines. His research awards include multiple Young Investigator accolades from APDW, EASL, and JGHF, reflecting international recognition for innovation and research excellence. Dr. Xiaoquan Huang’s academic leadership includes reviewer service, conference presentations, and contributions to collaborative global research projects. His ongoing work continues to shape diagnostic, therapeutic, and epidemiological frameworks in hepatology and gastroenterology, establishing him as a significant contributor to clinical research and patient-centered innovations.

Profiles: Scopus | ORCID | ResearchGate | Sci Profiles

Featured Publications

1. Huang, X., Zou, D., Wang, H., Chen, W., Zhang, L., Li, F., Ma, L., Zhang, C., Chen, Y., & Chen, S. (2024). Gastric variceal obstruction improves the efficacy of endoscopic management of esophageal variceal bleeding in GOV type I. Endoscopy International Open, 12(8), E940–E946.

2. Wang, Y., Huang, X. (Corresponding author), Cheryala, M., Aloysius, M., Zheng, B., Yang, K., Chen, B., Fang, Q., Chowdary, S. B., Abougergi, M. S., & Chen, S. (2023). Global increase of colorectal cancer in young adults over the last 30 years: An analysis of the Global Burden of Disease Study 2019. Journal of Gastroenterology and Hepatology, 38(9), 1552–1558.

3. Jiang, S., Ai, Y., Fan, X., Huang, X. (Corresponding author), Wu, L., Ni, L., Li, F., & Chen, S. (2023). Increased factor VIII activity is predictive of the occurrence of portal vein thrombosis in cirrhosis. Thrombosis and Haemostasis, 123(7), 714–722.

4. Huang, X., Zhang, M., Ai, Y., Jiang, S., Xiao, M., Wang, L., Jian, Y., Zhuge, Y., Zhang, C., & Chen, S. (2022). Characteristics of myeloproliferative neoplasm-associated portal hypertension and endoscopic management of variceal bleeding. Therapeutic Advances in Chronic Disease, 13, Article 20406223221125691.

5. Huang, X., Abougergi, M. S., Sun, C., Murphy, D., Sondhi, V., Chen, B., Zheng, X., Chen, S., & Wang, Y. (2023). Incidence and outcomes of thromboembolic and bleeding events in patients with liver cirrhosis in the USA. Liver International, 43(2), 434–441.

Nelson Etafo | Nanotechnology and Materials Science | Best Scholar Award

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Dr. Nelson Etafo | Nanotechnology and Materials Science | Best Scholar Award

Researcher | Universidad Carolina | Mexico

Dr. Nelson Etafo is an active materials science and environmental technology researcher whose work spans photoluminescence, nanotechnology, catalysis, wastewater remediation, and sustainable materials engineering. With 238 Scopus citations, 24 indexed publications, and an h-index of 7, he has contributed significantly to the advancement of functional materials, luminescent phosphors, and electrocoagulation-based technologies. His research focuses strongly on lanthanide-doped phosphors, solid-state lighting, upconversion materials, and their applications in bioimaging, sensing, anti-counterfeiting, and light-emitting devices. He has developed and analyzed BaLaAlO₄, SrLaAlO₄, and Sr₂CeO₄-based phosphors, contributing new insights into blue, red, and NIR emissions, refractive-index-influenced catalysis, and photoluminescent mechanisms. His work includes advancements in combustion synthesis, upconversion efficiency improvement, and material optimization for LEDs and biomedical uses. Dr. Nelson Etafo is also recognized for extensive contributions to environmental remediation, particularly electrocoagulation technology for wastewater treatment, pollutant removal, and precious metal recovery. His collaborative studies address cyanide destruction, gold/silver recovery, contaminant sequestration, and emerging wastewater challenges. He has authored influential reviews on photocatalysis, touchscreen antimicrobial coatings, nanohybrids for biomedical use, and CO₂ utilization technologies-strengthening global discussions on sustainable and green engineering. Beyond journal publications, Dr. Nelson Etafo has contributed to book authorship and edited volumes, including Tailored Light Emitters for Biomedical Applications (Springer), along with chapters on drug delivery, biocatalytic waste conversion, and advanced materials for water treatment. His scientific contributions extend to participation in national and international conferences, collaborative projects with multidisciplinary teams, and membership in leading professional bodies such as ACS, RSC, and CSN. His research impact reflects a strong commitment to innovation, sustainability, and scientific advancement across material science and environmental engineering.

Profiles: Scopus | ORCID | Google Scholar | ResearchGate | Sci Profiles | Loop

Featured Publications

1. Etafo, N. O., Bamidele, M. O., Bamisaye, A., & Alli, Y. A. (2024). Revolutionizing photocatalysis: Unveiling efficient alternatives to titanium (IV) oxide and zinc oxide for comprehensive environmental remediation. Journal of Water Process Engineering, 62, 105369.

2. Nkoh, J. N., Oderinde, O., Etafo, N. O., Kifle, G. A., Okeke, E. S., Ejeromedoghene, O., … Ogunlaja, O. O. (2023). Recent perspective of antibiotics remediation: A review of the principles, mechanisms, and chemistry controlling remediation from aqueous media. Science of the Total Environment, 881, 163469.

3. Nkoh, J. N., Shang, C., Okeke, E. S., Ejeromedoghene, O., Oderinde, O., Etafo, N. O., … Foka Meugang, E. (2024). Antibiotics soil-solution chemistry: A review of environmental behavior and uptake and transformation by plants. Journal of Environmental Management, 354, 120312.

4. Alli, Y. A., Bamisaye, A., Bamidele, M. O., Etafo, N. O., Chkirida, S., Lawal, A., … Nageim, H. A. (2024). Transforming waste to wealth: Harnessing carbon dioxide for sustainable solutions. Results in Surfaces and Interfaces, 17, 100321.

5. Etafo, N. O., Oliva, J., Garcia, C. R., Mtz-Enríquez, A. I., Ruiz, J. I., Avalos Belmonte, F., … Gómez-Solís, C. (2022). Enhancing the blue/NIR emission of novel BaLaAlO4:Yb3+ (x mol%), Tm3+ (0.5 mol%) upconversion phosphors with the Yb3+ concentration (x = 0.5 to 6). Inorganic Chemistry Communications, 137, 109192.

Xiaomei Lyu | Genetic Engineering and Biotechnology | Best Researcher Award

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Prof. Xiaomei Lyu | Genetic Engineering and Biotechnology | Best Researcher Award

Professor | Jiangnan University | China

Prof. Xiaomei Lyu is a leading researcher in synthetic biology-driven food science, microbial engineering, and biotechnology. Her work focuses on designing programmable microbial systems, metabolic pathway engineering, and CRISPR-based genetic regulation for applications in food functionality, metabolic health, and biomanufacturing. Her research contributions span high-impact areas such as microbial biosensing, host–microbe interaction engineering, and sustainable biosynthesis of value-added compounds. Prof. Xiaomei Lyu has contributed significantly to the development of engineered microbial genetic circuits targeting biomedical and functional-food applications. Her notable advancements include CRISPR-regulated biosensing systems and controllable nanocarriers enabling active delivery of gene-editing components (Small, 2021). She has also pioneered strategies for modularizing and optimizing metabolic pathways in microbial chassis to enhance production efficiency of nutraceutical compounds, as demonstrated in her work on delta-tocotrienol biosynthesis (Journal of Agricultural and Food Chemistry, 2023). Her research on Rhizobium-derived beta-glucan has opened new avenues in microbiota-modulated metabolic regulation. These works revealed mechanisms by which microbial polysaccharides influence triglyceride metabolism, intestinal fat absorption, and gut–host crosstalk, producing valuable implications for obesity and metabolic disorder interventions (Food & Function, 2022; 2024). Additionally, Prof. Xiaomei Lyu has made recognized contributions to enzymatic and chemo-catalytic processes relevant to food biotechnology, including lactulose production and salidroside biosynthesis, helping advance industrial and functional food innovation. Her publication record includes influential papers in Nature Communications, Small, Food & Function, Biotechnology Advances, Phytochemical Reviews, and Journal of Agricultural and Food Chemistry, supported by strong citation performance (Scopus: 1,515 citations, 59 documents, h-index 22). Her scholarly impact extends to R&D in microbial engineering, biochemical pathways, food-derived therapeutics, and microbiome-based metabolic interventions. Prof. Xiaomei Lyu’s research achievements establish her as a prominent contributor to next-generation microbial biotechnology, functional food science, and precision metabolic modulation.

Profiles: Scopus | ResearchGate | Sci Profiles

Featured Publications

1. Gu, B., Zhang, W.-D., Feng, J.-D., Zhao, W., Gu, Z.-G., & Lyu, X. (2025). Upcycling CO₂ into single cell protein via an integrated electrocatalytic–biosynthetic system. ACS Sustainable Chemistry & Engineering. https://doi.org/10.1021/acssuschemeng.5c06506

2. Wang, L., Zeng, Q., Gu, J., Wang, M., Yang, R., & Lyu, X. (2025). High conversion of value-added lactulose from lactose-rich dairy waste by in vivo cascade cell factory. Journal of Agricultural and Food Chemistry. https://doi.org/10.1021/acs.jafc.5c03933

3. Zeng, Q., & Lyu, X. (2025). Identification of a novel cellobiose 2-epimerase from Acidobacteriota bacterium and its application for in-situ milk catalysis. Frontiers in Microbiology. https://doi.org/10.3389/fmicb.2025.1575725

4. Liu, H., Zeng, Q., Zhu, C., Xu, C., Yang, R., & Lyu, X. (2025). High-throughput screening and directed evolution of β-1,3-N-acetylglucosaminyltransferase for enhanced LNnT production in engineered Saccharomyces cerevisiae. Journal of Agricultural and Food Chemistry. https://doi.org/10.1021/acs.jafc.5c01311

5. Liu, H., Liu, Y., Hu, H., Zhang, S., Lyu, X., & Yang, R. (2024). De novo production of LNnT by metabolic engineering of Saccharomyces cerevisiae as cell factory. Food Science and Human Wellness. https://doi.org/10.26599/fshw.2024.9250342

Krystyna Pyrzynska | Environmental Pollution and Remediation | Best Researcher Award

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Prof. Krystyna Pyrzynska | Environmental Pollution and Remediation | Best Researcher Award

Faculty of Chemistry | University of Warsaw | Poland

Prof. Krystyna Pyrzynska is a leading analytical chemist whose research has significantly advanced chromatographic science, environmental analytics, and the development of modern sorbent-based separation technologies. With 10,597 citations, 203 publications, and an h-index of 52, she is widely recognized for her influential contributions to metal ion speciation, phytochemical analysis, and sorbent innovation. Her work integrates fundamental analytical chemistry with applied environmental and food science, generating high-impact findings across multidisciplinary domains. Her research focuses on solid sorbents for metal preconcentration, including carbon nanostructures, porphyrin-based materials, nanomaterials for chromium remediation, and plant-extract-derived nanoparticles. She has extensively investigated metal speciation, especially in complex environmental matrices, contributing key methodologies for improved sensitivity, selectivity, and environmental monitoring reliability. Her publications in Molecules, Materials, Analytica Chimica Acta, Microchimica Acta, and Food Chemistry reflect sustained impact in top-tier journals. A prominent area of her work includes chromatographic analysis of phenolic compounds, polyphenols, and antioxidants, with substantial contributions to the extraction, quantification, and functional evaluation of phytochemicals in food and agricultural by-products. Recent studies on selenium-enriched tea, chlorogenic acids from coffee wastes, and ferulic acid extraction highlight her leadership in nutraceutical analytics and sustainable bioresource utilization. Her impactful reviews and research articles on selenium species, radioisotopes for theranostics, and environmental remediation demonstrate breadth in both environmental and biomedical analytical chemistry. She has produced influential works on photocatalytic degradation of pharmaceuticals, green synthesis of selenium nanoparticles, and advanced sorbent technologies, many of which have become highly cited references in the field. Prof. Krystyna Pyrzynska’s research portfolio also reflects strong collaborative practice, with over 56 co-authors, notable interdisciplinary partnerships, and contributions to international and domestic scientific networks. She frequently publishes open-access work, enhancing global accessibility to analytical chemistry advancements. Overall, Prof. Krystyna Pyrzynska stands as a leading figure in analytical and environmental chemistry, known for her innovations in separation techniques, sustainable extraction, metal ion analytics, and value-added utilization of natural bioresources.

Profiles: Scopus | ORCID | ResearchGate | Sci Profiles | Research.com | Academia | Scilit

Featured Publications

1. Pyrzyńska, K. (2020). Nanomaterials in speciation analysis of metals and metalloids. Talanta, 120784. https://doi.org/10.1016/j.talanta.2020.120784

2. Sentkowska, A., & Pyrzyńska, K. (2020). Selenium in plant foods: Speciation analysis, bioavailability, and factors affecting composition. Critical Reviews in Food Science and Nutrition. https://doi.org/10.1080/10408398.2020.1758027

3. Piwowarczyk, S., Sentkowska, A., & Pyrzyńska, K. (2020). Simultaneous determination of vitamin B6 and catechins in dietary supplements by ZIC-HILIC chromatography and their antioxidant interactions. European Food Research and Technology. https://doi.org/10.1007/s00217-020-03516-w

4. Sentkowska, A., & Pyrzyńska, K. (2019). Evaluation of the antioxidant interactions between green tea polyphenols and nonsteroidal anti-inflammatory drugs. Open Chemistry Journal, 6, 47–52. https://doi.org/10.2174/1874842201906010047

5. Dróżdż, P., & Pyrzyńska, K. (2019). Extracts from pine and oak barks: Phenolics, minerals and antioxidant potential. International Journal of Environmental Analytical Chemistry. https://doi.org/10.1080/03067319.2019.1668381

Boyuan Bai | Artificial Intelligence and Machine Learning | Best Researcher Award

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Dr. Boyuan Bai | Artificial Intelligence and Machine Learning | Best Researcher Award

Doctor | Beijing University of Posts and Telecommunications | China

Dr. Boyuan Bai is an emerging researcher in advanced visual computing, with a focused contribution to 3D reconstruction, Gaussian Splatting, multi-view scene modeling, and uncertainty-aware machine learning. His work integrates computer graphics, deep learning, and computational geometry to develop intelligent systems capable of producing highly accurate and stable indoor scene reconstructions. With 83 citations, 4 Scopus-indexed publications, and an h-index of 3, he is rapidly establishing a strong research footprint. Dr. Boyuan Bai’s notable scientific contribution centers on UncertainGS, an uncertainty-aware indoor reconstruction framework published in Neurocomputing (SCI/Scopus). This research introduces a novel pipeline that integrates cross-modal uncertainty prediction to guide the optimization of Gaussian Splatting. His methodological innovation improves the fidelity of reconstructed surfaces, especially in textureless or geometrically ambiguous indoor regions. His incorporation of Manhattan-world constraints into the Gaussian Splatting process represents a significant leap forward in aligning 3D surface geometry with real-world structural patterns. His research areas broadly span multi-view 3D reconstruction, Gaussian Splatting, uncertainty modeling, scene understanding, and deep reinforcement learning for geometric perception. He actively contributes to the development of next-generation 3D vision technologies, with applications in robotics, digital twins, AR/VR environments, and autonomous spatial intelligence. His work shows strong potential for large-scale deployment in real-time virtual reconstruction and simulation systems. Dr. Boyuan Bai’s scholarly output includes peer-reviewed journal publications, research project leadership, and scientific contributions that address fundamental challenges in computational imaging. His research achievements demonstrate clear innovation, technical depth, and growing influence in the fields of computer vision and graphics. Through ongoing academic collaborations and continued focus on high-impact research problems, he is emerging as a promising researcher in intelligent 3D scene modeling and uncertainty-aware visual computing.

Profiles: Scopus | IEEE Xplore | ACM Digital Library 

Featured Publications

1. Bai, B., Qiao, X., Lu, P., Zhao, H., Shi, W., & others. (2025). Two grids are better than one: Hybrid indoor scene reconstruction framework with adaptive priors. Neurocomputing, 618(C). https://doi.org/10.1016/j.neucom.2024.129118

2. Huang, Y., Bai, B., Zhu, Y., Qiao, X., Su, X., Yang, L., & others. (2024). ISCom: Interest-aware semantic communication scheme for point cloud video streaming on Metaverse XR devices. IEEE Journal on Selected Areas in Communications, 42(4). https://doi.org/10.1109/JSAC.2023.3345430

3. Zhu, Y., Huang, Y., Qiao, X., Tan, Z., Bai, B., & others. (2023). A semantic-aware transmission with adaptive control scheme for volumetric video service. IEEE Transactions on Multimedia, 25. https://doi.org/10.1109/TMM.2022.3217928

4. Huang, Y., Zhu, Y., Qiao, X., Tan, Z., & Bai, B. (2021). AITransfer: Progressive AI-powered transmission for real-time point cloud video streaming. In Proceedings of the 29th ACM International Conference on Multimedia (MM ’21). https://doi.org/10.1145/3474085.3475624

Ajay Kamboj | Sustainable Agriculture and Food Security | Best Researcher Award

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Mr. Ajay Kamboj | Sustainable Agriculture and Food Security | Best Researcher Award

Ph.D. Scholar | Punjab Agricultural University | India

Mr. Ajay Kamboj is a emerging horticultural researcher specializing in postharvest biology, fruit quality management, antioxidant defence mechanisms, and novel edible coating technologies. His research primarily focuses on mitigating postharvest quality deterioration in fruits through biochemical, enzymatic, and oxidative stress analyses, with strong expertise in FTIR spectroscopy, coating rheology, and statistical modeling, including PCA and correlation analysis. His publication portfolio demonstrates consistent contributions to high-impact journals. He has authored multiple Q1-ranked research articles, including studies on carrageenan–potassium sorbate graft coatings for mandarin, composite xanthan gum coatings for strawberries, and cinnamic acid–based coatings for mangoes, published in Food Hydrocolloids, International Journal of Biological Macromolecules, and Plant Foods for Human Nutrition. His work also extends to innovations such as chitosan/karonda polyphenol-enriched coatings for Prunus salicina and investigations into ripening and sugar metabolism in low-chill pear varieties, contributing to journals like Postharvest Biology and Technology and Acta Physiologiae Plantarum. Mr. Ajay Kamboj has contributed to academic publishing through a book chapter on protected cultivation in fruit crops, reflecting additional engagement in scholarly dissemination. His Scopus metrics-57 citations, 12 documents, and an h-index of 4-further evidence his growing research impact. He actively serves as a peer reviewer for reputable international journals, including Journal of Food Measurement and Characterisation and Erwerbs-Obstbau, demonstrating recognition within the scientific community for his subject-matter expertise. His research contributions advance sustainable postharvest technologies, shelf-life enhancement strategies, and biochemical quality preservation in horticultural produce. His findings support future innovations in food security, fruit storage, and plant-based coating materials, marking him as a promising researcher in postharvest fruit science.

Profiles: Scopus | ORCID | Google Scholar | ResearchGate

Featured Publications

1. Gautam, A., Gill, P. P. S., Singh, N., Jawandha, S. K., Arora, R., & Kamboj, A. (2024). Composite coating of xanthan gum with sodium nitroprusside alleviates the quality deterioration in strawberry fruit. Food Hydrocolloids, 110208.

2. Ajay, A., Gill, P. P. S., Jawandha, S. K., Singh, N. P., Kaur, S., & Kaur, P. (2023). Role of gum Arabic combined with cinnamic acid coating on quality and cell wall degradation enzymes of mango fruits at low temperature. International Journal of Biological Macromolecules, 259, 129088.

3. Jan, Z., Jawandha, S. K., Gill, P. S., Singh, H., Kamboj, A., Singh, A., & Jhanji, S. (2026). Chitosan/karonda polyphenol extract enriched coating alleviates postharvest quality deterioration by elicitation of antioxidant defence response in Prunus salicina. Postharvest Biology and Technology, 231, 113857.

4. Kamboj, A., Gill, P. P. S., Jawandha, S. K., Singh, N. P., Arora, R., Singh, A., & Kaur, P. (2025). Enhancing postharvest quality and antioxidant properties of mango using cinnamic acid-enriched xanthan gum coatings. Plant Foods for Human Nutrition, 80(3), 135.

5. Jalota, A., Singh, M., Gill, P. P. S., Grewal, S. K., & Kamboj, A. (2025). Effect of on-tree storage on ripening related changes and sugar metabolism in fruits of different low-chill pear varieties. Acta Physiologiae Plantarum, 47(11), 106.

Ibrahim Aromoye | Artificial Intelligence and Machine Learning | Editorial Board Member

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Mr. Ibrahim Aromoye | Artificial Intelligence and Machine Learning | Editorial Board Member

Graduate Research Assistant | Universiti Teknologi PETRONAS | Malaysia

Mr. Ibrahim Aromoy is a promising researcher in Electrical and Electronic Engineering with a growing scholarly footprint in hybrid UAV systems, artificial intelligence, and intelligent surveillance technologies. His research is centered on the development of a Pipeline Inspection Air Buoyancy Hybrid Drone, a novel UAV concept that combines lighter-than-air and heavier-than-air technologies to improve flight endurance, stability, and inspection efficiency. By integrating deep learning–based object detection architectures into UAV platforms, his work advances real-time pipeline monitoring, anomaly identification, and autonomous decision-making for industrial applications. His contributions span AI-driven automation, robotics, swarm intelligence, energy-efficient IoT systems, and 5G-enabled surveillance technologies. He has authored several research papers in reputable international journals and conferences, including publications in IEEE Access, Neurocomputing, and Elsevier venues. These works address UAV reconnaissance, transformer-based detection models for pipeline integrity assessment, and optimization frameworks inspired by swarm behavior. His research output reflects measurable scholarly influence, with 15 Scopus citations, 7 indexed documents, and an h-index of 2. Mr. Ibrahim Aromoy has participated in multiple research and development projects, contributing to UAV design, embedded hardware integration, machine learning pipelines, and cyber-secure control systems. His work in hybrid drone architecture and automated surveillance has been supported by competitive institutional funding, reinforcing the technological relevance and innovation potential of his research. His scientific contributions extend beyond publications to academic service. He serves as a peer reviewer for high-impact journals such as IEEE Access and Results in Engineering, supporting the advancement of rigorous research dissemination in engineering and applied sciences. His expertise also includes AI vision systems, OpenCV-based automation, and embedded cybersecurity applications for unmanned systems, further strengthening his interdisciplinary research profile. Mr. Ibrahim Aromoy has been recognized with research-focused scholarships and academic distinctions that support his ongoing work in UAV innovation and intelligent automation. Through his integrated expertise in UAV engineering, deep learning, and intelligent inspection systems, he continues to contribute meaningfully to the evolution of smart surveillance, autonomous robotics, and AI-augmented engineering technologies.

Profiles: Scopus | ORCID | Google Scholar | ResearchGate | Web of Science

Featured Publications

1. Aromoye, I., Lo, H., Sebastian, P., Ghulam, E., & Ayinla, S. (2025). Significant advancements in UAV technology for reliable oil and gas pipeline monitoring. Computer Modeling in Engineering & Sciences, 142(2), 1155.

2. Aromoye, I. A., Hiung, L. H., & Sebastian, P. (2025). P-DETR: A transformer-based algorithm for pipeline structure detection. Results in Engineering, 26, 104652.

3. Zahid, F., Ali, S. S. A., & Aromoye, I. A. (2025). Exploring the potential benefits and overcoming the constraints of virtual and augmented reality in operator training. Transportation Research Procedia, 84, 625–632.

4. Mansoor, Y., Zahid, F., Azhar, S. S., Rajput, S., & Aromoye, I. A. (2025). Energy-efficient solar water pumping: The role of PLCs and DC-DC boost converters in addressing water scarcity. Transportation Research Procedia, 84, 681–688.

5. Zahid, F., Rajput, S., Ali, S. S. A., & Aromoye, I. A. (2025). Challenges and innovations in 3D object recognition: The integration of LiDAR and camera sensors for autonomous applications. Transportation Research Procedia, 84, 618–624.

Philimon Feyisa | Evolutionary Biology and Genetics | Editorial Board Member

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Mr. Philimon Feyisa | Evolutionary Biology and Genetics | Editorial Board Member

Associate Research | Ethiopian Institute of Agricultural Research (EIAR) | Ethiopia

Mr. Philimon Feyisa is an active researcher in livestock science with a strong focus on small ruminant genetics, nutrition, pastoral production systems, and rangeland restoration. His research contributions span community-based breeding programs, forage technology evaluation, livestock productivity enhancement, and disease diagnostic approaches. He has played a central role in national-level goat and sheep research initiatives, including the development of long-term commodity research strategies and model breeding village frameworks in Ethiopia. His research publications cover diverse areas such as cattle management and marketing systems, camel pox diagnostics, improved forage technology demonstration, feeding management impacts on export-market bulls, and therapeutic evaluation of trypanosomiasis treatments in experimental models. His scientific output includes both journal papers and institutional book contributions, most notably the Sheep and Goat Research Strategies in Ethiopia published at EIAR level. These works highlight his commitment to evidence-based livestock development in pastoral and agro-pastoral systems. Mr. Philimon Feyisa has contributed substantially to applied R&D activities, including field-based seed multiplication for rangeland restoration and improved feeding trials for productivity enhancement. His leadership in small ruminant breeding and nutrition research has strengthened sustainable genetic improvement and management practices across pastoral regions. He has been involved in research proposal development, report writing, training material preparation, and capacity-building programs for producers, development agents, and forage growers. His work regularly interfaces with interdisciplinary teams and national research networks, enhancing collaborative livestock research outcomes. With more than 11 publications, over 4,400 reads, and 27 citations on ResearchGate, his research footprint demonstrates growing scientific influence. His contributions also extend to national coordination roles in goat research and participation in donor-linked research initiatives, reflecting recognized expertise, research leadership, and strong engagement in Ethiopia’s livestock research landscape.

Profiles: ORCID | ResearchGate

Featured Publications

1. Teshome, P., Goshu, G., Esatu, W., & Dessie, T. (2025). Genetic analysis of egg production traits in four chicken breeds using a full diallel cross. Poultry Science, September 2025.

2. Teshome, P., Goshu, G., Esatu, W., & Dessie, T. (2025). Genetic parameters estimation for egg quality traits of four chicken breeds using a full diallel cross. Tropical Animal Health and Production, September 2025.

3. Teshome, P., Goshu, G., Esatu, W., & Dessie, T. (2025). Estimation of heterosis, combining ability and reciprocal effects for body weight in four genetic groups of chicken from a full diallel cross. Poultry Science, August 2025.

4. Feyisa, P. T., Goshu, G., Esatu, W., & Dessie, T. (2025). Genetic parameters estimation for egg quality traits of four chicken breeds using a full diallel cross (Preprint). Research Square.

5. Aregawi, W. G., Gutema, F., Tesfaye, J., Sorsa, A., Megersa, B., Teshome, P., Agga, G. E., & Ashenafi, H. (2020). Efficacy of diminazene diaceturate and isometamidium chloride hydrochloride for the treatment of Trypanosoma evansi in mice model. Journal of Parasitic Diseases, 44, 792–803.

Noor Zeb Khan | Nanotechnology and Materials Science | Editorial Board Member

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Dr. Noor Zeb Khan | Nanotechnology and Materials Science | Editorial Board Member

Lecturer | Air University Islamabad | Pakistan

Dr. Noor Zeb Khan is an active researcher in Computational Fluid Dynamics (CFD), Nanotechnology, and Materials Science, contributing extensively to advanced numerical modeling and simulation. With 33 SCI-indexed publications and a cumulative impact factor of 106.50, his research is widely recognized, supported by 187 Scopus citations, 23 documents, and an h-index of 7 (Scopus) and 9 (Google Scholar). His work spans fluid–structure interaction, nanofluid dynamics, heat and mass transfer, magnetohydrodynamics (MHD), porous media flows, and hybrid numerical–AI methodologies integrating FEM, ANN, LBM, and COMSOL/MATLAB-based modeling. Dr. Noor Zeb Khan has produced influential research on wake dynamics, flow interference, and entropy generation analysis, including recent open-access studies such as his lattice Boltzmann investigation of dual rectangular cylinders and his FEM–ANN hybrid modeling of magnetized wavy enclosures. His findings contribute to improving predictive accuracy in thermal systems, microfluidic engineering, and energy-transport applications. He has delivered impactful contributions through high-quality journal publications, computational modelling advancements, and methodological innovations in machine-learning-assisted numerical simulations. His scholarly achievements include research awards, peer recognition, and growing citation influence. Dr. Noor Zeb Khan also provides reviewer services for multiple international SCI journals, supporting the advancement of CFD, applied mathematics, and nanofluid research communities. His ongoing work focuses on developing high-fidelity multiphysics models, optimizing thermo-hydrodynamic systems, and advancing smart computational frameworks that integrate physics-based solvers with artificial intelligence for next-generation engineering solutions.

Profiles: Scopus | ORCID | Google Scholar | Sci Profiles

Featured Publications

1. Bilal, S., Shah, M. I., Khan, N. Z., Akgül, A., & Nisar, K. S. (2022). Onset about non-isothermal flow of Williamson liquid over exponential surface by computing numerical simulation in perspective of Cattaneo–Christov heat flux theory. Alexandria Engineering Journal, 61(8), 6139–6150.

2. Shah, I. A., Bilal, S., Akgül, A., Omri, M., Bouslimi, J., & Khan, N. Z. (2022). Significance of cold cylinder in heat control in power law fluid enclosed in isosceles triangular cavity generated by natural convection: A computational approach. Alexandria Engineering Journal, 61(9), 7277–7290.

3. Bilal, S., Khan, N. Z., Shah, I. A., Awrejcewicz, J., Akgül, A., & Riaz, M. B. (2022). Numerical study of natural convection of power law fluid in a square cavity fitted with a uniformly heated T-fin. Mathematics, 10(3), 342.

4. Khan, N. Z., Bilal, S., Kolsi, L., Shflot, A. S., & Malik, M. Y. (2024). A case study on entropy generation in MHD nanofluid flow in L-shaped triangular corrugated permeable enclosure. Case Studies in Thermal Engineering, 59, 104487.

5. Khan, N. Z., Mahmood, R., Bilal, S., Akgül, A., Abdullaev, S., Mahmoud, E. E., … (2023). Mixed convective thermal transport in a lid-driven square enclosure with square obstacle. Alexandria Engineering Journal, 64, 981–998.

 

Amir R. Masoodi | Artificial Intelligence and Machine Learning | Editorial Board Member

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Assist. Prof. Dr. Amir R. Masoodi | Artificial Intelligence and Machine Learning | Editorial Board Member

Assistant Professor | Ferdowsi University of Mashhad | Iran

Assist. Prof. Dr. Amir R. Masoodi is a highly accomplished structural engineering researcher whose work spans nonlinear mechanics, composite structures, vibration analysis, finite element modeling, and advanced material systems. With 1,789 Scopus citations, 77 publications, and an h-index of 29, he has established a strong international research footprint in computational mechanics, structural stability, soil–structure interaction, wave propagation, and multiscale modeling of advanced composites. His research contributions include developing novel finite element formulations for beams, plates, and shells, particularly for functionally graded materials (FGMs), carbon nanotube (CNT)-reinforced composites, graphene nanocomposites, and porous structural systems. Assist. Prof. Dr. Amir R. Masoodi’s work on nonlinear dynamic analysis, thermal–mechanical coupling, shell instability, and multiscale behavior of nano-engineered materials has been widely cited and influential in advancing modern structural design methodologies. He has published extensively in leading journals such as Composite Structures, Engineering Structures, Mechanics of Advanced Materials and Structures, Aerospace Science and Technology, Scientific Reports, and Applied Sciences. His publications address cutting-edge topics including vibration of hybrid nano-reinforced shells, multiscale characterization of nanocomposites, nonlinear buckling behavior of tapered beams, thermomechanical modeling of composite cables, and smart materials incorporating shape-memory alloys. Assist. Prof. Dr. Amir R. Masoodi has presented his findings at numerous international conferences and contributed several book chapters, including work on nanofillers and thermal properties in advanced materials. His research output extends to R&D projects, predictive modeling, and computational innovations in structural and nano-engineered systems. He has been recognized with multiple distinguished researcher awards, national elite recognitions, and research excellence honors. His expertise is further reflected in his editorial board memberships and contributions as a reviewer for reputable journals. Overall, Assist. Prof. Dr. Amir R. Masoodi’s research stands at the intersection of computational mechanics, smart materials, and multiscale structural engineering, offering impactful advances for next-generation civil, mechanical, and aerospace systems.

Profiles: Scopus | ORCID | Google Scholar | Sci Profiles | Web of Science

Featured Publications

1. Sobhani, E., Masoodi, A. R., & Ahmadi-Pari, A. (2021). Vibration of FG-CNT and FG-GNP sandwich composite coupled conical–cylindrical–conical shell. Composite Structures, 273, 114281.

2. Sobhani, E., Masoodi, A. R., Civalek, O., & Ahmadi-Pari, A. R. (2021). Agglomerated impact of CNT vs. GNP nanofillers on hybridization of polymer matrix for vibration of coupled hemispherical–conical–conical shells. Aerospace Science and Technology, 120, 107257.

3. Rezaiee-Pajand, M., Sobhani, E., & Masoodi, A. R. (2020). Free vibration analysis of functionally graded hybrid matrix/fiber nanocomposite conical shells using multiscale method. Aerospace Science and Technology, 105, 105998.

4. Rezaiee-Pajand, M., Arabi, E., & Masoodi, A. R. (2019). Nonlinear analysis of FG-sandwich plates and shells. Aerospace Science and Technology, 87, 178–189.

5. Rezaiee-Pajand, M., Masoodi, A. R., & Mokhtari, M. (2018). Static analysis of functionally graded non-prismatic sandwich beams. Advances in Computational Design, 3(2), 165–190.