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.

Arash Javanshir-Khoei | Environmental Conservation and Sustainability | Editorial Board Member

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Assoc. Prof. Dr. Arash Javanshir-Khoei | Environmental Conservation and Sustainability | Editorial Board Member

University of Tehran Department of Fisheries | University of Tehran | Iran

Assoc. Prof. Dr. Arash Javanshir-Khoei is a highly accomplished Iranian fisheries and aquatic sciences researcher whose work spans marine ecology, ecotoxicology, aquatic pollution, and environmental remediation. With over 220 scientific publications, including journal articles, conference papers, and books, his research has contributed substantially to understanding pollutant dynamics and ecosystem health in marine and freshwater environments. His scholarly impact is reflected in 221 citations, 22 indexed documents, and an h-index of 8. Assoc. Prof. Dr. Arash Javanshir-Khoei’s research focuses extensively on heavy metal contamination, nanoparticle toxicity, microplastics, and pesticide impacts on aquatic organisms. He has conducted pioneering studies on pollutants such as Cd, Pb, TiO₂, AgNPs, and chlorpyrifos in species including bivalves, oysters, carp, and estuarine fishes. His work integrates biomarkers, oxidative stress indicators, immune responses, and tissue-level toxicological assessments, offering critical insights into aquatic toxicology and environmental risk analysis. He has made major contributions to innovative water and wastewater treatment technologies, notably developing and evaluating systems such as the Bit Trap Filter (BTF) and BIODROF biological filtration units for removing industrial contaminants, pesticides, nanoparticles, and heavy metals. These systems have been applied to aquaculture effluent, urban wastewater, and industrial discharges, demonstrating significant capacity for eco-friendly pollutant reduction. His extensive research on bivalve filtration, bioaccumulation, phytoremediation, and biological purification processes has advanced nature-based solutions for water quality enhancement. He has also contributed to stock assessment, biodiversity monitoring, and hydrobiological modeling, particularly in the Caspian Sea basin. Assoc. Prof. Dr. Arash Javanshir-Khoei is the author of 18 books, covering marine science, limnology, toxicology, aquatic biodiversity, and identification manuals. He has presented over 90 conference papers globally, demonstrating leadership in disseminating aquatic ecology and pollution research. His research awards include innovations in cyclic compound absorption and domestic wastewater treatment system design, highlighting his commitment to applied environmental solutions. His reviewer and scholarly contributions, combined with longstanding R&D in aquatic systems, position him as a leading figure in Iran’s environmental and fisheries research landscape.

Profiles: Scopus | ORCID | Google Scholar | ResearchGate 

Featured Publications

1. Barghbani, R., Rezaei, K., & Javanshir, A. (2012). Investigating the effects of several parameters on the growth of Chlorella vulgaris using Taguchi’s experimental approach. International Journal of Biotechnology for Wellness Industries, 1(2), 128.

2. Carlotti, F., Rey, C., Javanshir, A., & Nival, S. (1997). Laboratory studies on egg and faecal pellet production of Centropages typicus: Effect of age, effect of temperature, individual variability. Journal of Plankton Research, 19(8), 1143–1165.

3. Raeeszadeh, M., Khoei, A. J., Parhizkar, S., Rad, F. T., & Salimi, B. (2023). Assessment of some heavy metals and their relationship with oxidative stress and immunological parameters in aquatic animal species. Biological Trace Element Research, 201(9), 4547–4557.

4. Khoei, A. J. (2021). Evaluation of potential immunotoxic effects of iron oxide nanoparticles (IONPs) on antioxidant capacity, immune responses and tissue bioaccumulation in common carp (Cyprinus carpio). Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology, 244, 109005.

5. Sobhanardakani, S., Zandipak, R., Parvizimosaed, H., Javanshir Khoei, A., & Musalemi, M. (2014). Efficiency of chitosan for the removal of Pb(II), Fe(II) and Cu(II) ions from aqueous solutions. Iranian Journal of Toxicology, 8(26), 1145–1151.

Lei Fan | Nanotechnology and Materials Science | Editorial Board Member

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Dr. Lei Fan | Nanotechnology and Materials Science | Editorial Board Member

Master Tutor | School of Civil Engineering and Architecture, Zhejiang University of Science & Technology | China

Dr. Lei Fan is an emerging researcher in nano-mechanics and micro-/nano-scale structural behavior, with a strong focus on the mechanical effects, transport phenomena, and interfacial interactions of advanced nanomaterials. His work integrates atomic-scale modeling, computational materials science, and solid–liquid interface mechanics to address fundamental questions in graphene, hexagonal boron nitride (h-BN), and hybrid two-dimensional (2D) systems. With 289 Scopus citations, 41 publications, and an h-index of 10, he has established a growing impact in the fields of materials science and civil engineering nanotechnology. Dr. Lei Fan has authored 38 peer-reviewed papers, including 25 SCI-indexed publications as first or corresponding author, demonstrating strong leadership in scholarly communication. His notable works include high-impact contributions to International Journal of Molecular Sciences (Q1, IF~6.2) on ion/water molecular transport in angstrom-scale channels, offering fundamental insights that bridge atomic modeling with solid–liquid interaction mechanisms. His research in Surfaces and Interfaces (Q1, IF~6.1) examines toughness enhancement strategies in 2D hybrid materials via carbon nanotube integration, advancing design principles for next-generation nanocomposites. He has also published multiple studies in Diamond and Related Materials on grain boundaries, nanoholes, functional groups, and defect evolution in graphene/h-BN heterostructures, providing systematic understanding of bonding energies, deformation mechanisms, and temperature-dependent interface transitions. Dr. Lei Fan’s research excellence is reinforced through competitive funding support, including the Natural Science Foundation of Zhejiang Province, institutional scientific research grants, and participation in China’s State Key Program of the National Natural Science Foundation. His contributions extend to scholarly service as an editorial board member of Journal of Materials and New Energy and an active reviewer for leading SCI journals such as 2D Materials, Nanotechnology, and Computational Materials Science. With sustained innovation across atomic-scale mechanics, defect engineering, and nano-interface behavior, Dr. Lei Fan’s work continues to shape the theoretical and computational foundation of next-generation micro-/nano-structured materials.

Profiles: Scopus | ORCID | ResearchGate

Featured Publications

1. Fan, L. (2023). Mechanical mechanism of ion and water molecular transport through angstrom-scale graphene derivatives channels: From atomic model to solid-liquid interaction. International Journal of Molecular Sciences, 23, 1433.

2. Fan, L., Cai, X., Wang, H., Ye, J., Hong, Y., & Ying, J. (2023). Toughening two-dimensional hybrid materials by integrating carbon nanotubes. Surfaces and Interfaces, 36, 102559.

3. Fan, L., Bian, Z., Huang, Z., Song, F., Xia, Y., & Xu, J. (2022). Role of grain boundary and nanoholes in geometrical deformation and bonding energies of graphene/hexagonal boron nitride. Diamond and Related Materials, 126, 109119.

4. Fan, L., Bian, Z., Huang, Z., Song, F., Xia, Y., & Xu, J. (2022). New insight into bonding energy and stress distribution of graphene oxide/hexagonal boron nitride: Functional group and grain boundary effect. Diamond and Related Materials, 127, 109185.

5. Fan, L., & Yao, W. (2022). Temperature dependence of interfacial bonding and configuration transition in graphene/hexagonal boron nitride containing grain boundaries and functional groups. International Journal of Molecular Sciences, 23, 1433.

Rossana Vasconcelos | Health and Medicine Advances | Editorial Board Member

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Dr. Rossana Vasconcelos | Health and Medicine Advances | Editorial Board Member

Teacher | University of Santo Amaro | Brazil

Dr. Rossana Vasconcelos is a Brazilian dermatologist whose scholarly contributions span clinical dermatology, cosmetic dermatology, and aesthetic science. With 55 citations, 15 indexed publications, and an h-index of 3 in Scopus, her research presence reflects sustained engagement in advancing dermatological knowledge, particularly within the fields of skin health, cosmetic procedures, and patient-centered aesthetic care. Her academic work focuses on integrating evidence-based dermatological practice with emerging cosmetic technologies. Dr. Rossana Vasconcelos has contributed to peer-reviewed journal publications highlighting innovative approaches in skin treatments, dermatologic surgery, and cosmetic applications designed to enhance patient safety and therapeutic outcomes. Her conference outputs further expand her role in disseminating insights on aesthetic dermatology, emphasizing practical innovations and contemporary trends in minimally invasive procedures. In addition to scholarly publications, she has fostered research and mentorship within dermatology, promoting clinical inquiry into skin physiology, anti-aging strategies, cosmeceutical effectiveness, and procedural dermatology. Her research interests include dermato-cosmetic techniques, skin rejuvenation methodologies, pigmentation disorders, and interdisciplinary approaches linking dermatology with aesthetics, well-being, and lifestyle science. Dr. Rossana Vasconcelos has been active in dermatology communities through contributions aligned with the Brazilian Society of Dermatology (SBD) and the Brazilian Society of Dental Surgery (SBCD), supporting scientific engagement and knowledge dissemination. Her research-related recognitions reflect her commitment to combining clinical expertise with continuous academic development. She participates in peer-review activities aligned with dermatology journals and maintains a growing impact through collaborative clinical projects and aesthetic dermatology research initiatives. Her scholarly trajectory is shaped by a balance of scientific curiosity, clinical excellence, and innovative exploration of cosmetic dermatology, resulting in meaningful contributions to the dermatological research landscape in Brazil. Driven by dedication, creativity, and a deep engagement with human well-being, Dr. Rossana Vasconcelos continues to advance research that bridges science, aesthetics, and patient-centered dermatologic care.

Profiles: Scopus | ResearchGate

Featured Publications

1. Amiri, M., Ajasllari, G., Llane, A., & Fabi, S. G. (2025, October). Enhancing methodological rigor in MFU-V meta-analyses: A commentary on evidence synthesis and interpretation. Aesthetic Surgery Journal.

2. Crocco, E., Vasconcelos, R. C. F., Andrade, C. S., & Coutinho, A. L. (2025, August). Treatment of acne vulgaris with a topical application of retinaldehyde, glycolic acid, and Silybum marianum fruit extract: A pilot study. Cureus.

3. Oliveira, G., Cordeiro, A. A. R., Portela, L. C., Crocco, E., & Vasconcelos, R. C. F. (2025, July). Impact of unlawful aesthetic practices in Brazil: A multicenter survey on complications and the need for regulatory reform. Dermatologic Surgery.

4. Di Sessa, D., Pecora, C. de S., Vasconcelos, R. C. F., & Moreira, G. L. (2025, May). Single session of calcium hydroxylapatite, incobotulinumtoxin A, and hyaluronic acid for gluteal aesthetic improvement. Journal of Cosmetic Dermatology.

5. Vasconcelos, R., Arruda, P., Heredia-Combariza, N., & Almeida, A. T. de. (2025, May). Recommendations for the use of Cohesive Polydensified Matrix (CPM) filler technology for facial rejuvenation by the Latin American Expert Group (LAEG). Journal of Plastic, Reconstructive & Aesthetic Surgery.