Elena Allegritti | Sustainable Materials | Best Researcher Award

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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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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

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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.