Jurgita Malaiškienė | Innovation | Women Researcher Award

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Dr. Jurgita Malaiškienė| Innovation | Women Researcher Award

Chief researcher, Vilnius Gediminas technical university, Lithuania

Dr. Jurgita Malaiškienė (🎂 1979-05-02) is the Chief Researcher at the Laboratory of Composite Materials, Vilnius Gediminas Technical University 🏛️. With a strong academic background in Civil Engineering 👷‍♀️, she holds a Ph.D. in Technological Sciences (2008) 🎓. Her expertise centers on ceramic and cementitious materials, sustainable construction, and the application of nano-additives 🧪. Jurgita has held various academic and research positions since 2008, actively contributing to innovation in material science and engineering 🔬. She is also involved in project evaluation and education development across Lithuania 📘🇱🇹, reflecting her dedication to academic excellence and applied research 🚀.

Profile:

🎓 Education & 👩‍🔬 Professional Experience:

Dr. Jurgita Malaiškienė earned her B.Sc. 📘 (2001) and M.Sc. 📗 (2003) degrees in Civil Engineering from Vilnius Gediminas Technical University (VILNIUS TECH), followed by a Ph.D. 📕 in Technological Sciences (Civil Engineering) in 2008. Her professional journey began as a Researcher 🔬 at the Department of Building Materials, VILNIUS TECH (2008–2014). She also served as an Associate Professor 👩‍🏫 from 2009–2011 and again in 2013–2014. After a period of maternity and parental leave 👶 (2014–2016), she resumed work as a Senior Researcher 🧪 at the Research Institute of Building Materials (2016–2017) and later as a Professor 🧯 (2018–2019). In parallel, she contributed as an LVPA Assessor ✅ (2017–2018, 2023–2024). From 2017–2023, she worked as a Senior Researcher 🧬 at the Laboratory of Composite Materials and has been serving as the Chief Researcher 👩‍🔬 since 2023.

🔹Professional Development :

Dr. Malaiškienė has consistently enhanced her professional skills through specialized courses and seminars 🎓💼. From 2005–2008, she participated in human resource improvement seminars for civil engineering 🧑‍🏫. She deepened her expertise in thermal analysis and calorimetry in 2008 🌡️. Over the years, she has embraced new technologies and innovations, attending seminars like “Smart Building” (2013) 🏢💡 and courses on product development, R&D commercialization, and innovative teaching strategies 📊🧠. Her pedagogical knowledge was reinforced through dedicated courses in 2015, shaping her holistic approach to research, teaching, and industry collaboration 👩‍🏫🔬.

🔹 Research Focus :

Dr. Malaiškienė’s research revolves around ceramic and cementitious building materials 🧱🧪, with a strong emphasis on sustainability and innovation 🌍. She explores the utilization of industrial waste ♻️, enhancing the eco-efficiency of construction materials. Her studies also investigate the impact of chemical admixtures and nano additives on structural and performance properties of cement-based composites 🧬🏗️. She applies mathematical modeling to predict material behavior and optimize compositions based on key parameters 📈📐. Her interdisciplinary work bridges material science and environmental engineering, driving advances in next-generation, high-performance construction materials 🏘️🚀.

🔹Publication Top Notes :

1. Effect of Pozzolanic Additive on Properties and Surface Finish Assessment of Concrete

  • Citation:
    Girskas, G., Kriptavičius, D., Kizinievič, O., & Malaiškienė, J. (2025). Effect of Pozzolanic Additive on Properties and Surface Finish Assessment of Concrete. Buildings, 15(10), 1617. 

  • Summary:
    This study investigates the impact of a pozzolanic additive on concrete’s properties and surface finish. The additive reduced flowability, density, and ultrasonic pulse velocity while increasing entrained air content and reducing porosity. These changes suggest potential benefits for durability and surface quality in concrete applications.

2. Influence of Different Binders on the Municipal Solid Waste Incineration Fly Ash Granulation-Based Stabilization Process

  • Citation:
    Shevtsova, M., Malaiškienė, J., Škamat, J., & Antonovič, V. (2025). Influence of Different Binders on the Municipal Solid Waste Incineration Fly Ash Granulation-Based Stabilization Process. Sustainability, 17(10), 4573.

  • Summary:
    The research evaluates how various binders affect the stabilization of municipal solid waste incineration fly ash (MSWI FA). Findings indicate that while cement-based solidification/stabilization techniques can immobilize heavy metals, they are less effective in reducing the mobility of chlorides and sulfates. Pre-treatment washing is recommended to enhance ash stability for potential reuse in construction materials.

3. Utilisation of Different Types of Glass Waste as Pozzolanic Additive or Aggregate in Construction Materials

  • Citation:
    Bekerė, K., & Malaiškienė, J. (2025). Utilisation of Different Types of Glass Waste as Pozzolanic Additive or Aggregate in Construction Materials. Processes, 13(5), 1613.

  • Summary:
    This article explores the potential of using glass waste as a fine or coarse aggregate in concrete or mortar mixtures, replacing traditional materials like sand and gravel. The study highlights the environmental benefits, including reduced CO₂ emissions during clinker manufacturing, by incorporating dispersed glass into blended cements.

4. An Analysis of a Cement Hydration Process Using Glass Waste from Household Appliances as a Supplementary Material

  • Citation:
    Bekerė, K., Malaiškienė, J., & Škamat, J. (2025). An Analysis of a Cement Hydration Process Using Glass Waste from Household Appliances as a Supplementary Material. Processes, 13(3), 840.

  • Summary:
    The study examines the feasibility of using glass waste from household appliances as a supplementary material in cement-based products. It analyzes the chemical and mineral compositions, particle morphology, and size distribution of the glass waste, assessing its suitability as a replacement additive in cement hydration processes.

5. Influence of Pozzolanic Additives on the Structure and Properties of Ultra-High-Performance Concrete

  • Citation:
    Malaiškienė, J., & Jakubovskis, R. (2025). Influence of Pozzolanic Additives on the Structure and Properties of Ultra-High-Performance Concrete. Materials, 18(6), 1304.

  • Summary:
    This paper explores the structural changes and performance improvements in ultra-high-performance concrete (UHPC) when pozzolanic additives are incorporated. The study confirms enhancements in strength, density, and durability due to the pozzolanic reaction and refined microstructure, suggesting viable applications in high-demand structural elements.

🔹Conclusion:

Dr. Jurgita Malaiškienė’s distinguished career, scientific rigor, and meaningful contributions to sustainable material science make her a highly deserving nominee for the Best Researcher Award. Her work not only advances engineering knowledge but also delivers tangible benefits to society and the environment—embodying the spirit of this prestigious recognition.

Prof. Dr. Jingguo Lv | Network Security | Best Researcher Award

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Prof. Dr. Jingguo Lv | Network Security | Best Researcher Award

Prof. Dr. Jingguo Lv, Beijing University Of Civil Engineering And Architecture, China

Jingguo Lv is a distinguished professor at the Beijing University of Civil Engineering and Architecture. With a Ph.D. in charting and geographic information science from Beijing Normal University, he has dedicated his career to advancing the fields of remote sensing, digital image processing, and visual tracking. Over the years, he has made significant contributions to research and technology, authoring numerous publications and securing multiple patents. His commitment to education and innovation has established him as a leader in his field.

Professional Profile

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Suitability for Best Researcher Award

Professor Jingguo Lv has demonstrated remarkable achievements in the field of remote sensing, digital image processing, and visual tracking, positioning him as a strong contender for the Best Researcher Award. With over 40 academic articles, four monographs, seven authorized patents, and multiple software copyrights, he has consistently contributed to the academic and industrial advancement of these fields. His ongoing research on multi-source data sharing for power grid engineering and various patented technologies highlights his ability to address complex, real-world challenges using innovative approaches. Furthermore, his leadership in mastering core photogrammetry and remote sensing technologies adds to his contributions in urban remote sensing and disaster monitoring.

 🎓 Education 

Jingguo Lv earned his Ph.D. in charting and geographic information science from Beijing Normal University in 2009. His rigorous academic training equipped him with the knowledge and skills essential for his subsequent career in academia and research. At the Beijing University of Civil Engineering and Architecture, he has not only taught but also inspired countless students. His educational background underpins his research focus, driving innovations in remote sensing and image processing.

💼 Experience 

Since 2009, Jingguo Lv has served as a professor at Beijing University of Civil Engineering and Architecture. His extensive experience includes leading research projects and collaborating with industry partners. He has successfully published over 40 articles and authored four academic monographs, contributing significantly to the field of remote sensing. Additionally, his involvement in consultancy projects and industry collaborations highlights his practical application of academic research, bridging the gap between theory and practice.

 🏅Awards and Honors 

Jingguo Lv’s contributions to science and technology have been recognized through various awards. He holds nine software copyrights and has received several technological awards for his innovations in remote sensing and digital image processing. His work has not only advanced academic knowledge but has also had a tangible impact on industry practices. These honors reflect his commitment to excellence in research and education, marking him as a noteworthy figure in his field.

🌍 Research Focus 

Jingguo Lv’s research centers on remote sensing information extraction, digital image processing, and visual tracking. He is dedicated to developing advanced technologies for data sharing in power grid engineering, utilizing multi-source collaborative data. His ongoing projects aim to enhance the efficiency of data utilization in disaster monitoring and urban studies. By focusing on these areas, he contributes to solving real-world problems through innovative scientific approaches, making significant strides in both academia and industry.

 📖 Publication Top Notes

  • Research on Grid Multi-Source Survey Data Sharing Algorithm for Cross-Professional and Cross-Departmental Operations Collaboration
  • Visual Relationship-Based Identification of Key Construction Scenes on Highway Bridges

Dr. Jianhuan Cen | AI for Science Awards | Best Researcher Award

Published on by Network Awards

Dr. Jianhuan Cen | AI for Science Awards | Best Researcher Award

Dr. Jianhuan Cen, Sun Yat-sen University, China

Dr. Jianhuan Cen holds a master’s degree in Computational Mathematics and a bachelor’s degree in Information and Computing Science from Sun Yat-sen University, where he has consistently excelled academically and earned multiple scholarships. His research has made significant strides in AI model benchmarking for molecular property prediction and crystal structure prediction using diffusion models, showcasing his ability to integrate deep learning with scientific computation. Dr. Cen’s work has implications for material science and molecular simulation. He is known for his collaborative spirit and leadership in various research projects and software development efforts, and his versatility is evident from his involvement in programming problem review and testing school OJ websites.

Professional Profile:

Scopus
Google Scholar

Educational Background:

Dr. Cen has a robust academic foundation, with a master’s degree in Computational Mathematics and a bachelor’s degree in Information and Computing Science from Sun Yat-sen University, a leading institution in China. He has excelled academically and received multiple scholarships for his achievements.

Technical Skills and Contributions:

He has extensive hands-on experience in distributed computing, high-performance computing, and algorithm implementation using C/C++, Python, and Matlab. Dr. Cen’s project experience includes:

Implementing Locality Sensitive Hashing (LSH) on distributed clusters using Hadoop and Spark.

Developing a Non-Volatile Memory (NVM) based linear hash index, showcasing expertise in advanced database systems and memory environments.

Research Impact:

Dr. Cen has contributed to various high-impact projects, including AI model benchmarking for molecular property prediction and crystal structure prediction using diffusion models. His interdisciplinary work bridges the gap between deep learning and scientific computation, which could have broad applications in areas like material science and molecular simulation.

Collaboration and Leadership:

He has been involved in multiple research projects and collaborative software development efforts, indicating strong teamwork and leadership capabilities. He has also reviewed programming problems and tested school OJ websites, demonstrating his versatility.

Research Excellence:

Dr. Cen’s research focuses on solving high-dimensional partial differential equations (PDEs) using deep learning methods. He has developed innovative approaches that combine cutting-edge deep learning techniques with finite volume methods to tackle these complex problems.

Research Publications

1.  “Adaptive Trajectories Sampling for Solving PDEs with Deep Learning Methods” (Applied Mathematics and Computation).

2.  “Deep Finite Volume Methods for Partial Differential Equations” (SSRN).

Conclusion:

Dr. Jianhuan Cen’s academic achievements, research contributions in deep learning and computational mathematics, and technical prowess make him an outstanding candidate for the Best Researcher Award. His work is not only theoretically rigorous but also practically applicable, showing promise for future advancements in both academic and industrial contexts.