Xilian Xu | Nanotechnology and Materials Science | Research Excellence Award

Dr. Xilian Xu | Nanotechnology and Materials Science | Research Excellence Award

Lecturer | Zhejiang University of Science and Technology | China

Dr. Xilian Xu is an accomplished researcher with a strong scholarly impact, evidenced by 2,289 Scopus citations, 38 peer-reviewed publications, and an h-index of 25. His research portfolio centers on high-quality journal articles, conference contributions, and scholarly outputs that advance fundamental and applied science. Dr. Xilian Xu’s work demonstrates consistent contributions to innovative research themes, addressing complex scientific questions through rigorous experimental design and analytical methodologies. He has actively contributed to competitive research projects and funded programs, supporting translational and interdisciplinary research outcomes. His scholarly activities include research findings with measurable academic and societal impact, reflected in citation performance and journal visibility. Dr. Xilian Xu has also contributed to innovation-driven R&D activities, strengthening knowledge transfer and applied research potential. In addition, he has provided professional service as a peer reviewer and editorial contributor, supporting research quality and integrity within the scientific community. His research achievements and recognitions underscore sustained excellence and influence in his field.

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Featured Publications

Peijia Bai | Nanotechnology and Materials Science | Best Researcher Award

Dr. Peijia Bai | Nanotechnology and Materials Science | Best Researcher Award

Assistant Research Fellow | Beihang University | China

Dr. Peijia Bai is an emerging materials scientist whose research significantly advances high-efficiency thermal management, electrothermal conversion, and radiative cooling technologies. His work centers on electrocaloric materials and devices, ultrafast-response phase-change materials (PCMs), thermal system design, and protective color radiative-cooling coatings. With a strong focus on bridging fundamental materials science with practical applications, he has contributed to establishing next-generation energy-efficient cooling strategies and improving heat-dissipation performance for electronic and aerospace systems. Dr. Peijia Bai has published more than 30 peer-reviewed journal articles across leading platforms including Advanced Materials, Nature Communications, Science, and Joule, with over 812 Scopus citations, 24 documents and an h-index of 14. His publications include more than 10 papers as first or corresponding author, highlighting his prominent role in driving independent innovations. He has also contributed to one research monograph and authored multiple high-impact conference papers that extend his work to global scientific communities. A major contribution of his research is the development of a standardized electrothermal-effect measurement protocol, which has been widely adopted by both academia and industry. This standardized method has been cited extensively in top-tier journals and is now considered an important benchmark for evaluating electrothermal device performance. His work has also yielded seven patented technologies covering thermal-functional materials and device architectures, demonstrating strong translational potential. Dr. Peijia Bai has led and contributed to multiple funded research projects related to thermal management materials, advanced cooling devices, and energy-conversion technologies. His innovations have earned him the prestigious SAMPE International Award and recognition within professional societies such as the Zhejiang Society for Materials Progress. He also serves on the young editorial boards of cScience and Renewable and Sustainable Energy, reflecting his growing influence in the field. Dr. Peijia Bai’s research continues to advance innovative thermal strategies, contributing impactful solutions for sustainable energy technologies, aerospace materials, and advanced electronic systems.

Profiles: Scopus | ORCID | ResearchGate

Featured Publications

1. Bai, P., Yang, Q., & Yu, S. (2025). Electrocaloric refrigeration utilizing lead-free multilayer ceramics with high heat transfer efficiency. Applied Thermal Engineering. https://doi.org/10.1016/j.applthermaleng.2025.128927

2. Bai, P., Yang, Q., & Yu, S. (2025). Integration of efficient photothermal and flexible solid-solid PCM for personal thermoregulation in cold environments. iScience. https://doi.org/10.1016/j.isci.2025.114032

3. Wang, G., Bai, P., Yuan, S., Bo, Y., Zhang, D., & Ma, R. (2025). Flexible electrocaloric polymer stack driven by one AA battery for highly efficient personalized thermoregulation. Nano Letters, 25. https://doi.org/10.1021/acs.nanolett.5c03730

4. Wang, G., Bai, P., Yuan, S., Bo, Y., Zhou, Z., Zhang, D., & Ma, R. (2025). Highly efficient cooling via synergistic electro‐thermal phase changes. Advanced Materials. https://doi.org/10.1002/adma.202506006

5. Ma, W., Liu, X., Yang, T., Wang, J., Qiu, Z., Cai, Z., Bai, P., Ji, X., & Huang, Y. (2025). Strong magnetic–dielectric synergistic gradient metamaterials for boosting superior multispectral ultra‐broadband absorption with low‐frequency compatibility. Advanced Functional Materials. https://doi.org/10.1002/adfm.202314046

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

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.

 

Lei Fan | Nanotechnology and Materials Science | Editorial Board Member

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.

Sofia Teixeira | Nanotechnology and Materials Science | Editorial Board Member

Dr. Sofia Teixeira | Nanotechnology and Materials Science | Editorial Board Member

Senior Researcher | Tyndall National Institute | Ireland

Dr. Sofia Teixeira is a nanotechnology-focused researcher whose work bridges advanced materials science, biomedical engineering, and micro/nanofabrication. Her research background centers on the design and development of nanoscale sensing platforms capable of detecting disease-associated biomolecules with high sensitivity and selectivity. Trained in nanotechnology and electrochemical sensing, she has contributed to innovations in biomedical devices, electronic materials, and diagnostic interfaces, with a strong emphasis on translational applications that support early disease detection. Her research outputs include peer-reviewed journal publications, conference communications, and technology-driven studies exploring functional nanomaterials, biomarker recognition systems, and bio-electronic interfaces. With 89 citations, 4 research documents, and an h-index of 3, her contributions reflect an emerging yet impactful presence in the fields of nanosensors, biomaterials, and applied biotechnology. She has also advanced fabrication protocols using micro- and nanofabrication techniques, contributing to improved device performance, reproducibility, and real-world applicability. Dr. Sofia Teixeira has been involved in multidisciplinary R&D efforts linked to biomedical diagnostics, electrochemical sensor optimization, and nanostructured material design. Her work frequently integrates chemical engineering, electrochemistry, and medical biotechnology, positioning her research within critical domains such as point-of-care diagnostics, biosensing technologies, and health-related nanotechnology. She has participated in collaborative research initiatives and has contributed to the scientific community through reviewer service and research dissemination activities. Her innovations in nanoscale detection platforms and biomedical materials continue to support the advancement of next-generation diagnostic technologies and applied sensor research.

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

Featured Publications

  • Azzopardi, E., Lloyd, C., Teixeira, S. R., Conlan, R. S., & Whitaker, I. S. (2016). Clinical applications of amylase: Novel perspectives. Surgery, 160(1), 26–37.

  • Teixeira, S., Burwell, G., Castaing, A., Gonzalez, D., Conlan, R. S., & Guy, O. J. (2014). Epitaxial graphene immunosensor for human chorionic gonadotropin. Sensors and Actuators B: Chemical, 190, 723–729.

  • Teixeira, S., & Sampaio, P. (2013). Food safety management system implementation and certification: Survey results. Total Quality Management & Business Excellence, 24(3–4), 275–293.

  • Teixeira, S., Conlan, R. S., Guy, O. J., & Sales, M. G. F. (2014). Label-free human chorionic gonadotropin detection at picogram levels using oriented antibodies bound to graphene screen-printed electrodes. Journal of Materials Chemistry B, 2(13), 1852–1865.

  • Berbel-Filho, W. M., Berry, N., Rodríguez-Barreto, D., Teixeira, S., … (2020). Environmental enrichment induces intergenerational behavioural and epigenetic effects on fish. Molecular Ecology.

 

Brahma Singh | Nanotechnology and Materials Science | Best Researcher Award

Dr. Brahma Singh | Nanotechnology and Materials Science | Best Researcher Award

Senior Principal Scientist | CSIR – National Botanical Research Institute (NBRI) | India

Dr. Brahma Singh is a highly cited researcher in herbal nanobiotechnology, phytochemistry, microbial metabolomics, and natural-product–based therapeutics. With Scopus 6,632+ citations, 514+ cumulative journal impact factor, h-index 41, and 88+ Scopus-indexed documents, his work significantly advances plant-derived bioactives, nanodelivery systems, and biomedical applications. His research focuses on the bio-prospection of phytochemicals, metabolomics of plants and microbes, and the development of nano-enabled herbal formulations to enhance bioavailability, anti-inflammatory potential, antimicrobial efficacy, and immunomodulatory responses. He has pioneered several innovations targeting quorum sensing, biofilm inhibition, microbial virulence, oxidative stress, cancer therapeutics, and nanobiomaterial engineering. Dr. Brahma Singh has authored numerous high-impact publications in leading journals such as Biotechnology Advances, Trends in Biotechnology, Advanced Functional Materials, ACS Applied Bio Materials, Food Chemistry, Scientific Reports, Cancer and Metastasis Reviews, and Journal of Ethnopharmacology. Many of his articles address critical biomedical challenges, including COVID-19 inflammatory pathways, diabetic wound healing, gut microbiota modulation, and lichen- or plant-derived anticancer compounds. His research findings have been widely recognized for introducing bio-inspired nanoparticles, novel glycobiotechnology approaches, and sustainable valorization of agricultural waste. He holds 13 patents spanning herbal formulations, antimicrobial gels, nanocompositions, bioavailable curcumin technologies, dental care products, wound-healing biomaterials, and nutraceutical innovations. Dr. Brahma Singh has also developed 16 herbal technologies, including anti-fungal gels, polyherbal toothpaste, antioxidant supplements, advanced sanitizers, nanocoatings, anti-acne gels, and herbal hydrogel therapies-15 of which have been successfully transferred to industry.As an active contributor to the scientific community, he has published one edited book, nine book chapters, and serves on editorial boards of reputed journals including Scientific Reports, PLoS ONE, Frontiers in Fungal Biology, and others. His research excellence has been recognized through major scientific awards and fellowships, cementing his leadership in natural product biotechnology, herbal nanomedicine, and translational phytopharmaceutical R&D.

Profiles: Scopus | ResearchGate | Loop

Featured Publications

1. Gupta, S. C., Prateeksha, P., Tripathi, T., Sidhu, O. P., & Singh, B. N. (2025). Assessment of volatile compounds variability among two Commiphora species using gas chromatography coupled with chemometric analysis and their biological activities. Journal of Essential Oil Research. (Accepted). https://doi.org/

2. Singh, B. N., Tabatabaei, M., Pandit, A., Elling, L., & Gupta, V. K. (2024). Emerging advances in glycoengineering of carbohydrates/glycans and their industrial applications. Biotechnology Advances, 72, 108324. https://doi.org/

3. Sharma, V. K., Prateeksha, P., Singh, S. P., Rao, C. V., & Singh, B. N. (2023). Nyctanthes arbor-tristis bioactive extract ameliorates LPS-induced inflammation through the inhibition of NF-κB signalling pathway. Journal of Ethnopharmacology, 320, 117382. https://doi.org/

4. Gupta, A., Singh, G. D., Gautam, A., Tripathi, T., Taneja, A. K., Singh, B. N., Roy, R., Sidhu, O. P., Panda, S. K., & Bhatt, A. (2023). Unraveling compositional study, chemometric analysis, and cell-based antioxidant potential of selective high nutraceutical value amaranth cultivars using a GC–MS and NMR-based metabolomics approach. ACS Omega, 8(50). https://doi.org/

5. Jadaun, V., Prateeksha, P., Nailwal, T., & Singh, B. N. (2023). Antioxidant activity and simultaneous estimation of four polyphenolics in different parts of Carica papaya L. by a validated high-performance thin-layer chromatography method. JPC – Journal of Planar Chromatography – Modern TLC, 1–11. https://doi.org/

Yonghui Sun | Materials Science | Best Researcher Award

Dr. Yonghui Sun | Materials Science | Best Researcher Award

Assistant Professor, Henan Normal University, China

Dr. Yonghui Sun is an accomplished researcher in supramolecular and organic chemistry with a specialization in purely organic room-temperature phosphorescence materials, currently serving as an Associate Professor at the School of Chemistry and Chemical Engineering, Henan Normal University, China. He earned his Ph.D. in Organic Chemistry from Nankai University in 2023 under the supervision of Prof. Yu Liu, following an M.S. in Organic Chemistry from Henan Normal University (2019) and a B.S. in Chemistry from Anyang Institute of Technology (2016). His professional experience includes academic research and teaching, with a focus on molecular engineering, matrix confinement strategies, macrocyclic chemistry, supramolecular assembly, and artificial transmembrane transport systems. Dr. Yonghui Sun has presented his research at prestigious national and international conferences, including the ISMSC 2024 in Hangzhou and the Asian Cyclodextrin Conference, highlighting his active involvement in global academic exchanges. His research skills encompass advanced molecular design, nanomaterial synthesis and supramolecular interaction analysis, which have led to high-impact publications indexed in Scopus and IEEE, with 9 documents, 303 citations and an h-index of 8. Recognized for his academic promise, Dr. Yonghui Sun has received honors through invited talks and scientific engagement, contributing to the broader chemistry community. In conclusion, his strong educational background, innovative research contributions and growing academic influence establish him as a promising leader in nanotechnology and supramolecular chemistry, with great potential to impact science and society.

Profile: Scopus

Featured Publications

1. Yonghui Sun, Lijuan Liu, Linnan Jiang, Yong Chen, Hengyue Zhang, Xiufang Xu, and Yu Liu, (2023). Unimolecular chiral stepping inversion machine. Journal of the American Chemical Society, 145(28), 16711–16716.

2. Yonghui Sun, Linnan Jiang, Lijuan Liu, Yong Chen, Wen-Wen Xu, Jie Niu, Yuexiu Qin, Xiufang Xu, and Yu Liu, (2023). Two calix[3]phenothiazine-based amorphous pure organic room-temperature phosphorescent supramolecules mediated by guest. Advanced Optical Materials, 11(20), 2300326.

3. Yonghui Sun, Linnan Jiang,Yong Chen, Yu Liu, (2024). In situ crosslink polymerization induced long-lived multicolor supramolecular hydrogel based on modified β-cyclodextrin. Chinese Chemical Letters, 35, 108644.

4. Yonghui Sun, Yong Chen, Linnan Jiang, Xiaoyong Yu, Yuexiu Qin, Shuaipeng Wang, and Yu Liu, (2022). Purely organic blue room-temperature phosphorescence activated by acrylamide in situ photopolymerization. Advanced Optical Materials, 10(24), 2201330.

5. Yonghui Sun, Yong Chen, Xianyin Dai, Yu Liu, (2021). Butyrylcholinesterase responsive supramolecular prodrug with targeted near-infrared cellular imaging property. Asian Journal of Organic Chemistry, 10(12), 3245–3252.

 

Elena Allegritti | Sustainable Materials | Best Researcher Award

Dr. Elena Allegritti | Sustainable Materials | Best Researcher Award

Research and Development Project Manager | University of L’Aquila | Italy

Dr. Elena Allegritti is a dedicated researcher and project manager specializing in the design and development of innovative materials and biomedical systems. Her academic and professional journey reflects a strong focus on lipid-based carriers, drug delivery platforms and multifunctional formulations for both industrial and healthcare applications. With a background spanning chemistry, materials science, and biomedicine, she has cultivated expertise in interdisciplinary projects that integrate nanotechnology, materials engineering, and pharmaceutical sciences. Throughout her career, Dr. Elena Allegritti has combined rigorous academic training with hands-on laboratory research, working on advanced systems such as liposomes, micelles, magnetic carriers, and lipid mesophases. Her experiences extend beyond Italy through international collaborations in Switzerland and Spain, where she contributed to projects on targeted therapies and controlled release formulations. She has also gained industrial experience in biotechnology, where she has taken on leadership responsibilities in research management. Beyond technical expertise, Dr. Elena Allegritti demonstrates strong organizational and communication skills, successfully bridging the gap between scientific innovation and practical application. Her work reflects a consistent drive to address pressing biomedical and industrial challenges, positioning her as an emerging leader in applied chemistry and life sciences.

Publication Profile

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Orcid

Education

Dr. Elena Allegritti’s educational foundation reflects her strong commitment to chemistry and its applications in both industry and healthcare. She began her academic journey in chemistry and materials science, developing expertise in the synthesis of surfactants and lipid-based sensors. Building on this foundation, she advanced to graduate-level studies in chemical sciences, where she focused her thesis on liposome-based drug delivery systems for Parkinson’s disease. This work highlighted her early interest in neurodegenerative disorders and innovative therapeutic approaches. She then pursued doctoral studies in physical and chemical sciences, specializing in lipid-based carriers such as liposomes, micelles, magnetic liposomes, and lipid mesophases. Her research explored the dual potential of these systems for biomedical and industrial use, combining fundamental chemistry with applied innovation. During her doctoral training, she also participated in international exchanges that enriched her perspective on materials science and pharmaceutical technologies. She further complemented her academic preparation with professional qualifications, including the official habilitation as a chemist and certification for teaching chemistry at middle and high school levels. This comprehensive academic path reflects her interdisciplinary strengths and her ability to translate fundamental chemical knowledge into practical biomedical and industrial applications.

Professional Experience

Dr. Allegritti has cultivated diverse professional experiences that combine academic research with industrial project management. In biotechnology, she serves as a research and development project manager, overseeing activities related to the design and advancement of cosmetic formulations, supplements, and medical devices aimed at preventing and treating infections. This role has allowed her to integrate her scientific expertise with managerial skills, guiding projects from concept to development. In academia, she has worked as a postgraduate research scholar, contributing to material science projects involving the preparation and characterization of novel systems designed for conservation and environmental applications. During her doctoral studies, she carried out research on advanced lipid-based systems for both biomedical and industrial use, collaborating closely with academic mentors and interdisciplinary teams. Internationally, she enhanced her profile as a visiting researcher in Switzerland, where she explored lipid mesophase-based beads for drug delivery, and in Spain, where she contributed to liposomal formulations for neurological therapies. Each of these roles reflects her versatility and adaptability, spanning laboratory work, project coordination, and cross-border collaborations. Collectively, her professional experiences demonstrate her ability to navigate both research-focused and applied environments, balancing scientific rigor with innovation-driven leadership.

Research Interest

Dr. Elena Allegritti’s research interests lie at the intersection of chemistry, nanotechnology, and biomedical engineering, with a particular focus on lipid-based systems and their versatile applications. She is deeply engaged in the study of liposomes, micelles, magnetic liposomes and lipid mesophases as multifunctional carriers for drug delivery and therapeutic interventions. These systems hold promise for the targeted and sustained release of active molecules, particularly in addressing conditions such as neurodegenerative disorders, infections, and cancer. Beyond biomedical contexts, her research extends to the use of lipid-based and surfactant systems in industrial and conservation applications, including the development of new materials for surface treatments and environmental restoration. She is also interested in the translation of academic discoveries into practical technologies, with a focus on developing medical devices, supplements, and cosmetic formulations that leverage biocompatible materials. Another key area of her interest is the integration of interdisciplinary approaches, combining materials chemistry with pharmaceutical sciences, biotechnology, and nanomedicine. Through both independent and collaborative projects, Dr. Elena Allegritti seeks to address global health challenges and industrial needs by designing innovative, sustainable, and efficient material-based solutions that bridge fundamental science with applied technology.

Research Skills

Dr. Elena Allegritti possesses a broad range of research skills that reflect her multidisciplinary training and international experiences. Her expertise includes the design, synthesis, and characterization of lipid-based systems such as liposomes, micelles and mesophases, which she applies in both biomedical and industrial contexts. She is proficient in advanced laboratory techniques for material preparation, formulation development, and physicochemical characterization, including microscopy, spectroscopy, and analytical chemistry methods. Her research also involves the use of magnetic and responsive nanocarriers for targeted delivery, demonstrating her ability to develop innovative platforms for sustained and controlled release. She has gained experience in surface treatments and conservation materials, applying chemical principles to the protection and restoration of cultural heritage. International research collaborations have strengthened her adaptability to different laboratory environments and expanded her technical repertoire. In addition, her role in biotechnology has developed her project management skills, including planning, supervising, and coordinating research activities across teams. She combines hands-on laboratory expertise with scientific writing, presentation, and communication skills, enabling her to contribute effectively to academic publications, industrial reports, and collaborative projects. These skills underscore her versatility as a scientist capable of both discovery-driven and application-oriented research.

Awards and Honors

Dr. Elena Allegritti’s academic and professional journey has been recognized through distinctions and achievements that highlight her excellence in chemistry and research. She graduated with top honors in both her bachelor’s and master’s degrees, earning the highest academic distinction for her performance and thesis research. Her doctoral training further strengthened her academic profile, as she was selected for competitive international research exchanges in Switzerland and Spain, where she contributed to high-level projects in drug delivery and nanomedicine. She has also successfully achieved professional habilitation as a chemist, reflecting her recognized competence and readiness for professional practice in the field. In addition, she earned certification for teaching chemistry at the secondary level, showcasing her versatility in both research and education. Throughout her career, her ability to balance academic research with industrial applications has been a consistent source of recognition. While still at an early stage in her career, these honors reflect a trajectory of excellence, dedication, and impact across academic, industrial, and international contexts. They also underscore her role as a promising scientist whose achievements continue to position her as an emerging leader in chemical and biomedical innovation.

Author Metrics

  • Publications: 8

  • Documents Indexed: 7

  • Total Citations: 32+

  • Citations by Documents: 30

  • h-index: 3

Publications Top Notes

1. Exploring Solid Magnetic Liposomes for Organic Pollutant Removal from Wastewater: The Role of Lipid Composition
Year: 2025
Citations: 2

2. Unlocking new dimensions in long-acting injectables using lipid mesophase-based beads
Year: 2024
Citations: 2

3. Novel liposomal formulations for protection and delivery of Levodopa: Structure-properties correlation
Year: 2023
Citations: 11

4. Organocatalytic Synthesis of γ-Amino Acid Precursors via Masked Acetaldehyde under Micellar Catalysis
Year: 2023
Citations: 2

5. Influence of Lipid Composition on Physicochemical and Antibacterial Properties of Vancomycin-Loaded Nanoscale Liposomes
Year: 2024
Citations: 4

Conclusion

Dr. Elena Allegritti is a highly motivated chemist and research professional whose career integrates academic achievement, international collaboration and industrial application. Her expertise in lipid-based systems and multifunctional carriers places her at the forefront of research in drug delivery, nanomedicine and advanced materials. She combines this scientific knowledge with strong project management skills, demonstrated in her current leadership role within the biotechnology sector, where she oversees the development of medical devices, cosmetic products, and supplements. Her educational path, marked by distinction at every stage, reflects both depth and breadth, encompassing chemistry, materials science, and applied biomedical research. International experiences in Switzerland and Spain have expanded her perspective and strengthened her collaborative approach, while her qualifications in professional practice and teaching further showcase her versatility. Looking forward, Dr. Elena Allegritti is well-positioned to continue contributing to both scientific discovery and practical innovation. Her commitment to advancing materials and formulations that address health and industrial challenges ensures that her work will remain impactful, bridging the gap between fundamental science and societal needs. She stands as a dynamic scientist prepared to shape future directions in applied chemistry and biomedical engineering.

Yitayal Siyoum | Materials Science | Best Researcher Award

Mr. Yitayal Siyoum | Materials Science | Best Researcher Award

Lecturer and Researcher at Woldia University, Ethiopia.

Mr. Yitayal Siyoum is a dedicated mechanical engineering lecturer and incinerator engineer with a strong academic foundation and diversified research experience. Known for his analytical thinking, strong problem-solving skills, and commitment to innovation, he has developed a comprehensive background in manufacturing, additive manufacturing, and precision engineering. His career spans both academic and industrial environments, combining theoretical knowledge with practical expertise in materials science, CNC programming, and mechanical systems operation. As a lecturer at Woldia University, he teaches a variety of courses in manufacturing and industrial engineering while actively advising both undergraduate and master’s research projects. He also brings hands-on engineering experience from his work with UNOPS, where he was responsible for plant design, installation, and maintenance. His professional journey reflects a blend of technical excellence, teaching acumen, and research proficiency. With a passion for academic advancement, he is currently pursuing a Ph.D. at the University of Genova, Italy, with a proposed research focus on machine learning-driven modeling of metallic microstructures for energy systems. Mr. Siyoum is a proactive team player, an articulate communicator, and a dependable academician aiming to make meaningful contributions to the global engineering research community.

📝Publication Profile

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🎓Education

Mr. Yitayal Siyoum has pursued a progressive academic trajectory in mechanical and manufacturing engineering. He is currently undertaking a Doctor of Philosophy (Ph.D.) in Mechanical, Energy, and Management Engineering at the University of Genova, Italy (2025–2028). His research is conducted under the Department of Mechanical, Energetics, Management, and Transport Engineering, with a specialization in Processing Technologies and Systems. His proposed research focuses on machine learning–driven modeling of metallic microstructures for energy system state estimation—an interdisciplinary approach combining computational intelligence with advanced materials engineering. Prior to his doctoral studies, Mr. Siyoum completed a Master of Science in Mechanical (Manufacturing) Engineering at Bahir Dar University, Bahir Dar Institute of Technology, Ethiopia, from December 2020 to November 2022. His master’s thesis addressed the microstructural analysis and mechanical property optimization of bio-implant materials, utilizing wire-cut Electrical Discharge Machining (EDM) and Artificial Neural Networks (ANN) enhanced by advanced optimization algorithms including Jaya, Genetic, and Teaching–Learning-Based Algorithms. He also holds a Bachelor of Science in Mechanical (Manufacturing) Engineering from Debre Markos University, Ethiopia, completed in 2018. His academic foundation began with a comprehensive education in Natural Sciences at Shendi Secondary School in Womberma, Ethiopia, completed in 2013. His educational pathway reflects a consistent dedication to technical excellence and applied research.

💼Professional Experience

Mr. Yitayal Siyoum has a dynamic professional career that includes both academic and industrial roles. Since November 2022, he has served as a Lecturer and Researcher at Woldia University, Ethiopia, where he teaches undergraduate and graduate courses in manufacturing and industrial engineering. His teaching portfolio includes courses such as welding, metal forming, manufacturing systems, CAD/CAM/CIM, metrology, and materials handling. He actively supervises thesis work and guides students in project development.

From March 2019 to October 2020, he worked as an Assistant Lecturer at the same institution, providing instructional support in core engineering subjects like Engineering Dynamics and Workshop Practice. Prior to his academic career, Mr. Siyoum worked briefly as a Mechanical Engineer (Incinerator Engineer) at UNOPS, Ethiopia, from January to March 2019. In this role, he focused on the design, installation, and operation of plant machinery, contributing to public health through environmentally safe waste disposal systems.

His career demonstrates a balanced combination of theoretical teaching, laboratory management, and hands-on industrial engineering experience. His deep understanding of mechanical systems, manufacturing practices, and engineering education makes him a valuable contributor to both academia and industry.

🔬Research Interest

Mr. Yitayal Siyoum’s research interests are deeply rooted in advanced manufacturing technologies and engineering optimization. He is particularly focused on additive manufacturing, where he investigates design and fabrication strategies for creating sustainable materials. His work in this area includes the development of composite materials and small-scale 3D printing machines.

In precision manufacturing, he explores the automation of machining systems that function without human intervention while maintaining precise tolerance levels. His research also integrates machine learning algorithms to enhance adaptive machining, welding, and 3D printing processes, particularly for additive manufacturing applications.

Additionally, Mr. Siyoum is interested in the design and management of production processes, including life cycle assessments (LCA), sustainability analysis, and technical-economic feasibility studies for new products. His research extends to industrial quality, safety, and efficient process design, bridging academic theory with real-world applications.

Overall, his multidisciplinary interests aim to advance the field of mechanical engineering by leveraging computational tools, AI, and sustainable technologies. His academic path and project involvement demonstrate a strong commitment to addressing current and future challenges in advanced manufacturing systems.

🛠️Research Skills

Mr. Yitayal Siyoum has cultivated a comprehensive skill set in engineering research, particularly in the areas of manufacturing, materials science, and computational analysis. He is proficient in designing and conducting experimental studies in additive manufacturing, including the optimization of process parameters using machine learning and artificial neural networks (ANN).

He has hands-on experience with microstructure analysis, mechanical property evaluation, and composite material design. Mr. Siyoum also engages in precision machining studies, such as wire-cut EDM, and uses optimization algorithms including Genetic Algorithms, Jaya Algorithm, and Teaching Learning-based Optimization.

In computational and simulation work, he is skilled in tools such as AutoCAD, SolidWorks, Fusion 360, ANSYS, ProCAST, and Deform 3D. His coding experience includes MATLAB, C++, and basic Java, making him capable of modeling physical systems and developing simulation environments.

Moreover, his background in life cycle assessment (LCA), feasibility studies, and quality control gives him an applied perspective on industrial processes. Mr. Siyoum’s ability to plan, schedule, and meet research deadlines, combined with his teaching and supervisory experience, make him an effective researcher and academic collaborator.

🏆Awards and Honors

Mr. Yitayal Siyoum has demonstrated academic excellence throughout his educational journey, earning top marks and distinctions that reflect his diligence and expertise. He completed his Master of Science in Mechanical (Manufacturing) Engineering with an outstanding GPA of 3.92 out of 4.00 at Bahir Dar University. His high academic achievement is further evidenced by his Bachelor’s degree performance at Debre Markos University, where he graduated with a GPA of 3.59.

During his undergraduate and postgraduate studies, he actively participated in academic clubs, such as the Mechanical Engineering Club, and provided voluntary teaching assistance to community high school and preparatory students in mathematics and physics. He was also involved in mentoring junior university students in programming and technical drawing.

Mr. Siyoum has received recognition for his leadership, mentorship, and contribution to university-level applied research projects. His work in engineering education and hands-on internships has earned him commendations from colleagues and supervisors alike. These accolades reflect his strong moral character, commitment to service, and consistent pursuit of academic and professional excellence.

📈Author Metrics

  • Total Documents Published: 4

  • Total Citations: 3 (cited by 3 documents)

  • h-index: 1 (The h-index of 1 indicates that at least 1 of the author’s publications has been cited at least once).

📌Publications Top Notes

1. A review of current research and prospects of fused deposition modelling: application, materials, performance, process variables, parameter optimization, and numerical study

  • Authors: Yitayal Belew Siyoum, Fikir Gashaw Kindie & Mebratu Assefa Gebeyehu

  • Year: 2025 

  • Journal: International Journal of Advanced Manufacturing Technology

  • Citation: Siyoum Y. B., Kindie F. G., & Gebeyehu M. A. (2025). A review of current research and prospects of fused deposition modelling: application, materials, performance, process variables, parameter optimization, and numerical study. Int J Adv Manuf Technol, 138, 1675–1711.

2. Parameter optimization for enhancing mechanical properties of wood‑plastic composites using artificial neural network with genetic algorithm and Taguchi method

  • Authors: Teshager Awoke Yeshiwas, Yitayal Belew Siyoum, Atalay Bayable Tiruneh & Tantigegn Kassahun Adamu

  • Year: 2025

  • Journal: Wood Materials Science & Engineering

  • Citation: Yeshiwas T. A., Siyoum Y. B., Tiruneh A. B., & Adamu T. K. (2025). Parameter optimization for enhancing mechanical properties of wood‑plastic composites using artificial neural network with genetic algorithm and Taguchi method. Wood Mater Sci Eng.

3. Comparative optimization of wire‑cut EDM parameter for enhancing surface finish and machining time on stainless steel: a machine learning, genetic algorithms, teaching–learning based optimization, and multi-objective Jaya approach

  • Authors: Yitayal Belew Siyoum, Fikir Gashaw Kindie, Mebratu Assefa Gebeyehu, Sewale Enyew Chanie, Teshager Awoke Yeshiwas & Yilkal Azene Zelalem

  • Year: 2025

  • Journal: International Journal of Advanced Manufacturing Technology

  • Citation: Siyoum Y. B., Kindie F. G., Gebeyehu M. A., Chanie S. E., Yeshiwas T. A., & Zelalem Y. A. (2025). Comparative optimization of wire‑cut EDM parameter for enhancing surface finish and machining time on stainless steel: a machine learning, genetic algorithms, teaching–learning‑based optimization, and multi-objective Jaya approach. Int J Adv Manuf Technol, 137, 5339–5362.

4. Optimization of wire‑cut EDM parameters using artificial neural network and genetic algorithm for enhancing surface finish and material removal rate of charging handlebar machining from mild steel AISI 1020

  • Authors: Sewale Enyew Chanie, Teshome Mulatie Bogale & Yitayal Belew Siyoum

  • Year: 2025 

  • Journal: International Journal of Advanced Manufacturing Technology

  • Citation: Chanie S. E., Bogale T. M., & Siyoum Y. B. (2025). Optimization of wire‑cut EDM parameters using artificial neural network and genetic algorithm for enhancing surface finish and material removal rate of charging handlebar machining from mild steel AISI 1020. Int J Adv Manuf Technol, 136, 3505–3523.

🧾Conclusion

Mr. Yitayal Siyoum stands out as a committed academician and researcher whose work bridges theoretical knowledge with practical innovation. His background in mechanical engineering—spanning additive manufacturing, precision machining, and machine learning—reflects a passion for addressing industrial and societal challenges through advanced technologies. As a lecturer, he excels in mentoring students and translating complex concepts into real-world applications. His research focus on sustainable material design and intelligent manufacturing systems positions him at the forefront of engineering advancement. Currently pursuing a Ph.D. at the University of Genova, he aims to deepen his understanding of metallic microstructures and energy systems through machine learning. His academic drive, collaborative spirit, and diverse skill set make him a strong candidate for research teams, academic collaborations, and interdisciplinary initiatives. Mr. Siyoum’s unwavering commitment to learning, innovation, and professional growth underscores his goal to contribute meaningfully to the engineering field and to society at large.