Oussama Baaloudj | Engineering | Young Scientist Award

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Oussama Baaloudj | Engineering | Young Scientist Award

Università degli Studi della Basilicata | Italy

Dr. Oussama Baaloudj is a dedicated postdoctoral researcher and process engineer whose work centers on advancing sustainable water treatment and environmental process engineering. He is currently contributing to innovative research at the University of Basilicata, where he plays a key role in the development and validation of decentralized urban wastewater treatment systems within the PRIMA SAFE project, a multinational initiative focused on promoting safe and sustainable water reuse in agriculture, food production, and environmental management. His career reflects a strong international dimension, with research experiences across Italy, Canada, France, and Algeria, allowing him to collaborate effectively in diverse academic and industrial settings. Previously, he worked as a part-time researcher at the University of Houari Boumediene, where he contributed to projects in process and reaction engineering within the Laboratory of Reaction Engineering. His doctoral internship at the University of Quebec in Trois-Rivières strengthened his expertise in designing and synthesizing advanced sillenite-based photocatalysts, further enhancing his interdisciplinary research capabilities. A highly productive researcher, he has published extensively in high-impact journals and accumulated more than 1,500 citations, showcasing the visibility and relevance of his contributions to the scientific community. His excellence has been recognized through notable honors, including the Scopus Award in 2022 and the FEEM Health Committee Research Award in 2025. Beyond his research activities, he has served as Guest Editor for journals such as Catalysts and ChemEngineering, and has acted as a peer reviewer for more than 50 scientific manuscripts, contributing to the quality and integrity of scholarly publishing. Driven by a commitment to innovation, sustainability, and global collaboration, he continues to advance impactful solutions to modern environmental challenges through rigorous research and scientific leadership.

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Featured Publications

Nadhir Al-Ansari | Engineering | Excellence in Citation Achievement Award

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Nadhir Al-Ansari | Engineering | Excellence in Citation Achievement Award

LuleaUniversity of Technology | Sweden

Professor Nadhir Al-Ansari is a distinguished scholar in civil, environmental, and natural resources engineering, renowned for his extensive contributions to water resources and environmental sustainability. Currently serving at Luleå University of Technology in Sweden, he has held multiple academic leadership roles throughout his career, including Dean and Head of Department, and has executed more than 60 major research projects across Iraq, Jordan, and the United Kingdom. His prolific scholarly output includes over 790 research articles published in international and national journals, numerous book chapters, 21 books and special issues, as well as a patent related to the physical separation of iron oxides. A dedicated mentor, he has supervised more than 70 postgraduate students across various universities, fostering the next generation of experts in water and environmental engineering. Professor Al-Ansari’s work has been widely recognized through numerous prestigious awards, such as the Mesopotamia Prize for Water Resources, honors from the Iraqi Ministry of Higher Education and Scientific Research, awards from the Ministry of Water and Irrigation in Jordan, and the British Council’s 70th Anniversary recognition as one of the top five scientists in Cultural Relations. He is also the recipient of several scientific and community service accolades from organizations in Iraq, Jordan, Turkey, and beyond. Actively engaged in global scientific discourse, he serves on the editorial boards of 24 international journals and maintains membership in several leading professional societies, including the Chartered Institution of Water and Environment Management, the International Association of Hydrological Sciences, the International Commission for Continental Erosion, and the Arab Integrated Water Resources Management Network. He also founded and previously presided over the Rafidain Organization for Water Resources Protection and Development, reflecting his lifelong commitment to advancing sustainable water resource management and environmental protection worldwide.

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Featured Publications

Nguyen, Q. H., Ly, H. B., Ho, L. S., Al-Ansari, N., Le, H. V., Tran, V. Q., Prakash, I., … (2021). Influence of data splitting on performance of machine learning models in prediction of shear strength of soil. Mathematical Problems in Engineering, 2021(1), Article 4832864.

Kumar, R., Qureshi, M., Vishwakarma, D. K., Al-Ansari, N., Kuriqi, A., Elbeltagi, A., … (2022). A review on emerging water contaminants and the application of sustainable removal technologies. Case Studies in Chemical and Environmental Engineering, 6, 100219.

Tao, H., Hameed, M. M., Marhoon, H. A., Zounemat-Kermani, M., Heddam, S., … (2022). Groundwater level prediction using machine learning models: A comprehensive review. Neurocomputing, 489, 271–308.

Shahabi, H., Shirzadi, A., Ghaderi, K., Omidvar, E., Al-Ansari, N., Clague, J. J., … (2020). Flood detection and susceptibility mapping using Sentinel-1 remote sensing data and a machine learning approach: Hybrid intelligence of bagging ensemble based on k-nearest neighbors. Remote Sensing, 12(2), 266.

Al-Ansari, N. (2013). Management of water resources in Iraq: Perspectives and prognoses. Engineering, 5(6), 667–684.

Nhu, V. H., Shirzadi, A., Shahabi, H., Singh, S. K., Al-Ansari, N., Clague, J. J., … (2020). Shallow landslide susceptibility mapping: A comparison between logistic model tree, logistic regression, naïve Bayes tree, artificial neural network, and support vector machine models. International Journal of Environmental Research and Public Health, 17(8), 2749.

Saša Milojević | Engineering | Best Researcher Award

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Saša Milojević | Engineering | Best Researcher Award

Faculty of Engineering University of Kragujevac | Serbia

Dr. Saša T. Milojević is a distinguished Serbian scholar and expert advisor with over three decades of academic and industrial experience in mechanical and automotive engineering, specializing in powertrain systems, vehicle maintenance, renewable energy, sustainable transport, and environmental protection. He earned his BSc, MSc, and PhD degrees from the University of Kragujevac, Faculty of Engineering, where he currently serves as an Assistant Professor in the Department of Powertrain and Mobile Systems. Alongside his academic duties, Dr. Milojević works as an expert advisor in the field of technical inspection and homologation testing of vehicles, contributing his expertise to the advancement of vehicle safety and compliance standards. His professional career also includes over five years as Head of Production and Technical Manager in the bus and truck industry, where he gained extensive experience in manufacturing and industrial management. Dr. Milojević has authored more than 100 scientific publications, including journal papers, conference proceedings, book chapters, and edited volumes, reflecting his broad and impactful research output. His work bridges the fields of internal combustion engines, alternative fuels, tribology, and recycling technologies, emphasizing sustainable and energy-efficient mobility solutions. He played a leading role as Consortium Manager in two FP7 projects focusing on innovative low-floor electric and hydrogen-powered minibuses, and as a team leader, he won the regional innovation award for developing Serbia’s first low-floor city bus powered by natural gas. Since 2023, Dr. Milojević has been representing the KG EDU-S research center in the European and USA network for education and research, promoting sustainable development in transport and industry through collaborative international projects. His career stands as a testament to the integration of engineering innovation, education, and sustainability.

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Featured Publications

  • Skrúcaný, T., Kendra, M., Stopka, O., Milojević, S., Figlus, T., & Csiszár, C. (2019). Impact of the electric mobility implementation on the greenhouse gases production in central European countries. Sustainability, 11(18), 4948.

  • Milojević, S., Glišović, J., Savić, S., Bošković, G., Bukvić, M., & Stojanović, B. (2024). Particulate matter emission and air pollution reduction by applying variable systems in tribologically optimized diesel engines for vehicles in road traffic. Atmosphere, 15(2), 184.

  • Sandra, V., Stojanovic, B., Ivanović, L., Miladinovic, S., & Milojević, S. (2019). Application of nanocomposites in the automotive industry.

  • Milojević, S., Savić, S., Marić, D., Stopka, O., Krstić, B., & Stojanović, B. (2022). Correlation between emission and combustion characteristics with the compression ratio and fuel injection timing in tribologically optimized diesel engine. Tehnički vjesnik, 29(4), 1210–1219. https://doi.org/10.17559/TV-20220322134250

  • Milojević, S., Savić, S., Marić, D., Stopka, O., Krstić, B., & Stojanović, B. (2022). Multi-objective optimization of tribological characteristics for aluminum composite using Taguchi grey and TOPSIS approaches. Tehnički vjesnik, 29(4), 1210–1219.

Qinghua Wei | Engineering | Best Research Article Award

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Qinghua Wei | Engineering | Best Research Article Award

Dr. Qinghua Wei, Northwestern Polytechnical University, China

Dr. Qinghua Wei is a Doctor of Engineering, esteemed researcher, and doctoral supervisor at Northwestern Polytechnical University. Recognized under the “Aerospace New Star” talent program, he has led numerous national-level research initiatives in materials science and biomedical engineering. His work bridges advanced composite material modification and 3D bioprinting technology, resulting in over 80 high-impact publications and two academic monographs. With a strong interdisciplinary approach, Dr. Wei has contributed significantly to the design of innovative hydrogels and bioceramics. His academic influence is globally acknowledged, with over 1,600 SCI citations and inclusion in Stanford University’s Top 2% Scientists list. He has also secured 23 national patents and 10 software copyrights, with multiple technologies already industrially transformed. Through his scientific rigor, mentorship, and contributions to frontier technologies, Dr. Wei continues to shape the future of biomedical manufacturing and material engineering on both national and international fronts.

Publication Profile

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Education

Dr. Qinghua Wei earned his Doctor of Engineering degree with a specialization in advanced composite materials and biomedical additive manufacturing. His academic training emphasized the convergence of materials science, fluid mechanics, and biomedical engineering, equipping him with a solid theoretical foundation and practical skills. During his doctoral studies, he focused on multi-scale structural optimization and material performance in extreme environments. He later expanded his research toward developing bioinks, hydrogels, and biofabrication technologies. His educational journey included rigorous training in scientific experimentation, simulation modeling, and high-precision equipment development. Actively involved in collaborative academic networks, he also pursued cross-disciplinary research projects and international conferences during his academic years. These experiences laid the groundwork for his leadership in complex research programs and his current role in supervising doctoral students at Northwestern Polytechnical University. His educational background is central to his continued innovation in the integration of engineering materials and biological systems.

Experience

Dr. Qinghua Wei serves as a faculty researcher and doctoral supervisor at Northwestern Polytechnical University. Over the years, he has led and participated in more than 10 high-profile scientific research projects, including those funded by the National Natural Science Foundation of China and national-level Key R&D Programs. His expertise lies in the design, simulation, and additive manufacturing of composite materials, especially for biomedical applications. He has developed advanced hydrogel printing processes, biofabrication systems, and multifunctional biomaterials. As a senior researcher, Dr. Wei has mentored PhD candidates and postgraduate researchers, building a strong academic team focused on interdisciplinary innovation. His professional work combines simulation modeling, experimental verification, and translational research, turning academic findings into real-world technologies. He has actively contributed to collaborative industry-academia partnerships and technology transformation efforts. With multiple accolades and patents, Dr. Wei remains at the forefront of advanced material science and engineering applications in China.

Honors and Awards

Dr. Qinghua Wei has received numerous prestigious awards in recognition of his scientific contributions. He was honored with the First Prize of the National Technology Invention Award in 2019, reflecting the national importance of his research. Additionally, he won the Second Prize of the Shaanxi Provincial Natural Science Award in 2024, and the First Prize of the Shaanxi Provincial University Science and Technology Award in 2024, 2020, and 2016. He has been selected as part of the “Aerospace New Star” talent program by Northwestern Polytechnical University, affirming his potential in scientific leadership. His international recognition includes being listed among the Top 2% Scientists in the World by Stanford University, based on citation metrics and research impact. Furthermore, he has secured 23 national invention patents, with 9 technologies already commercialized, and has registered 10 software copyrights. His achievements have also been appraised by the International Association for Science and Technology Promotion of China.

Research Focus

Dr. Qinghua Wei’s research focuses on the multi-scale modification design of composite materials and the development of advanced biological additive manufacturing (bio-AM) technologies. He is particularly known for his innovations in 3D bioprinting, including hydrogel design, bioink optimization, and soft tissue engineering applications. His work explores the interrelation between material properties and process parameters using simulation modeling and numerical optimization. He has designed and fabricated biofabrication systems with high precision for extrusion-based bioprinting, supporting cell viability and mechanical integrity. In materials science, Dr. Wei explores PVA, cellulose nanofibers, hydroxyapatite, and sodium alginate-based composites to enhance strength, conductivity, and biocompatibility. His research outcomes contribute to various biomedical engineering applications, including artificial skin, bone scaffolds, and biosensors. By integrating materials engineering with fluid dynamics and biomedical needs, he strives to create novel, functional materials and manufacturing systems that solve real-world healthcare challenges and push the boundaries of biomedical innovation.

Publications

  1. 📄 A triple-network PVA/cellulose nanofiber composite hydrogel with excellent strength, transparency, conductivity, and antibacterial properties

  2. 🧪 Optimal design of multi-biomaterials mixed extrusion nozzle for 3D bioprinting considering cell activity

  3. 🖨️ Optimization of hydrogel extrusion printing process parameters based on numerical simulation

  4. 🧬 Three-dimensional bioprinting of tissue-engineered skin: Biomaterials, fabrication techniques, challenging difficulties, and future directions

  5. 🧱 Influence of particle size distribution on hydroxyapatite slurry and scaffold properties fabricated using digital light processing

  6. 🧫 Modification, 3D printing process and application of sodium alginate based hydrogels in soft tissue engineering

  7. 🦴 Modification of hydroxyapatite powder by carboxymethyl chitosan for 3D printing bioceramic bone scaffolds

  8. ⚙️ Micromechanical modeling and numerical homogenization calculation of effective stiffness of 3D printing PLA/CF composites

  9. 📶 3D printable, stretchable, anti-freezing and rapid self-healing organogel-based sensors for human motion detection

  10. 🌐 3D printable, anti-freezing, and rapid self-healing violet phosphorene incorporated hydrogel-based sensors for human motion detection

Yufan Song | Engineering | Best Paper Award

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Yufan Song | Engineering | Best Paper Award

Dr. Yufan Song, Nanjing University of Aeronautics and Astronautics, China

Yufan Song, born in 1999 in Hebei, China, is a Ph.D. student specializing in Information and Communication Engineering at Nanjing University of Aeronautics and Astronautics (NUAA). With a strong academic foundation from the University of Electronic Science and Technology of China (UESTC), she has swiftly become a rising researcher in the field of synthetic aperture radar (SAR) and remote sensing image processing. Her work is driven by the ambition to push the boundaries of microwave imaging techniques and data interpretation from SAR platforms. Yufan’s research is marked by innovation and technical depth, leading to the publication of eight SCI-indexed journal articles and 14 patents. She holds memberships in prestigious professional organizations such as IEEE and CSIG. Through rigorous academic training and a passion for solving complex imaging challenges, Yufan continues to contribute significantly to advancements in SAR-based Earth observation technologies.

Publication Profile

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🎓 Education

Yufan Song commenced her academic journey at the University of Electronic Science and Technology of China (UESTC), Chengdu, where she earned her Bachelor’s degree from the College of Information and Communication Engineering in 2020. During her undergraduate studies, she developed a keen interest in signal processing and microwave technologies. Building on that foundation, she pursued doctoral studies at Nanjing University of Aeronautics and Astronautics (NUAA), where she is currently enrolled in the Ph.D. program in Information and Communication Engineering. Her education is marked by a consistent focus on research and development, particularly in advanced remote sensing technologies and synthetic aperture radar (SAR) systems. Throughout her academic path, Yufan has cultivated in-depth technical knowledge, hands-on experience with SAR data analysis, and expertise in image reconstruction, ambiguity suppression, and sparse signal processing. Her education reflects both strong theoretical grounding and applied research excellence.

💼 Experience

Yufan Song’s experience is anchored in academic research with a strong focus on microwave imaging and SAR technologies. As a Ph.D. student at NUAA, she has undertaken six significant research projects related to sparse imaging, SAR signal processing, and ambiguity reduction in sliding spotlight SAR systems. Her practical contributions include developing innovative algorithms for moving and stationary target separation, squint-mode SAR phase correction, and compressive sensing-based SAR imaging. With eight SCI-indexed journal publications and 14 patent submissions, her experience reflects both depth and breadth in remote sensing innovation. While she has not yet participated in industry consultancy projects, her academic research has strong potential for real-world applications in aerospace, defense, and environmental monitoring. Yufan is also an active member of professional societies including IEEE, CSIG, and the Chinese Institute of Electronics, where she stays updated with emerging technologies and research trends.

🏆 Honors and Awards

While formal award records are not explicitly listed, Yufan Song’s research achievements reflect distinguished academic excellence deserving of recognition. Her selection as a Best Paper Award nominee underscores the significance of her contributions to SAR imaging and remote sensing. Publishing in high-impact journals such as IEEE Transactions on Geoscience and Remote Sensing demonstrates peer-validated recognition of her work. In addition to her scientific publications, the acceptance and processing of 14 patents highlight her capacity for innovation and applied engineering. Furthermore, her active membership in leading academic societies—IEEE, CSIG, and the China Society of Image and Graphics—speaks to her standing in the research community. Her groundbreaking approach in azimuth ambiguity suppression using compressive sensing, especially in the context of PRF-reduced sliding spotlight SAR, is a notable milestone that reinforces her role as a promising young researcher. These accomplishments collectively position her as a strong contender for research-based awards.

🔬 Research Focus

Yufan Song’s research is centered on Synthetic Aperture Radar (SAR), Sparse Microwave Imaging, and Remote Sensing Image Processing. Her work explores high-resolution SAR imaging techniques with an emphasis on ambiguity suppression, phase error correction, and sparse signal reconstruction. She has developed algorithms capable of separating moving and stationary targets in complex imaging scenes. One of her key innovations involves a joint sparse imaging model for spaceborne PRF-reduced sliding spotlight SAR, which incorporates compressive sensing to manage azimuth ambiguity—a challenge that significantly affects image clarity and accuracy. Her research blends mathematical rigor with practical application, particularly in spaceborne imaging platforms. With a growing number of journal articles and patents, she aims to enhance the reliability and efficiency of remote sensing systems, making significant contributions to environmental monitoring, surveillance, and Earth observation technologies. Her focus is not only on developing theoretical frameworks but also ensuring these solutions are scalable and applicable in real-world scenarios.

📚 Publications

  • 📄 A Compressive Sensing-Based Sparse Imaging Method for PRF-Reduced Sliding Spotlight SAR

  • 📄 Separation of Moving and Stationary Targets in SAR via Doppler Parameter Estimation

  • 📄 Squint-Mode SAR Imaging Based on Azimuth Phase Error Correction and Sparse Reconstruction

  • 📄 Joint Imaging Model for Azimuth Ambiguity Suppression in Compressive Sensing SAR Systems

  • 📄 Phase Error Estimation Using Gradient Descent for Sliding Spotlight SAR

  • 📄 Sparse Reconstruction-Based Image Enhancement for Remote Sensing Scenes

  • 📄 Azimuth Time-Domain Compensation Method in Squint SAR Imaging

  • 📄 An Improved Sparse Microwave Imaging Algorithm for Spaceborne SAR Applications