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.

Assoc. Prof. Dr. Hongyan Zhao | Additive manufacturing | Best Researcher Award

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Hongyan Zhao | Additive manufacturing | Best Researcher Award

Hongyan Zhao, Beijing University of Technology, China

Dr. Hongyan Zhao 🎓, an Associate Professor at the School of Mechanical and Energy Engineering, Beijing University of Technology 🏫, specializes in high-frequency welding, additive manufacturing, power supply systems, and power electronics ⚡. With a Ph.D. in Electrical Engineering from Beijing Jiaotong University 🎓, Dr. Zhao has led and contributed to national and enterprise-funded projects 🧪. His research has been widely published in top-tier SCI journals 📚. Passionate about innovative manufacturing and control technologies 🤖, he combines academic excellence with industrial collaboration, driving advancements in welding technology and smart manufacturing systems 🚀.

Professional profile : 

scopus

Summary of suitability :

Dr. Hongyan Zhao is highly suitable for a Best Researcher Award. His impressive academic background, specialized expertise, strong publication record, and leadership in high-impact projects demonstrate the qualities expected of an award-winning researcher. His commitment to both fundamental research and practical industry applications places him at the forefront of innovation in mechanical, energy, and electrical engineering fields.

Education and Experience :

  • 🎓 B.S. in Automation – Yanshan University (2006.09 – 2010.06)

  • 🎓 M.S. in Electrical Machines and Apparatus – Yanshan University (2010.09 – 2013.06)

  • 🎓 Ph.D. in Electrical Engineering – Beijing Jiaotong University (2013.09 – 2019.01)

  • 🔬 Postdoctoral Researcher – Beijing Jiaotong University (2019.06 – 2021.07)

  • 👨‍🏫 Associate Professor – Beijing University of Technology (current)

Professional Development :

Dr. Hongyan Zhao 🚀 has been deeply involved in professional development through leading major national projects and enterprise collaborations 📈. He secured funding from the National Natural Science Foundation of China 🎯 and contributed significantly to large-scale national R&D programs, particularly in advanced welding technologies and additive manufacturing 🛠️. His engagement with projects like ultra-high frequency pulse arc welding for deep-water environments 🌊 and flexible manufacturing systems for spacecraft structures 🚀 highlights his drive to solve real-world industrial challenges. Through active research, teaching, and innovation 🔥, Dr. Zhao continually pushes the boundaries of smart manufacturing and electrical engineering 🌟.

Research Focus Category :

Dr. Hongyan Zhao’s 🧠 research focuses on Advanced Manufacturing and Welding Technology 🔥, especially in the fields of high-frequency welding, multi-electrode arc behavior, and additive manufacturing processes 🛠️. His expertise extends to the development of power electronics and high-efficiency power transmission systems ⚡. With a multidisciplinary approach combining thermal, electrical, and mechanical dynamics 🌐, Dr. Zhao aims to revolutionize industrial welding and smart production techniques 🤖. His work contributes to both fundamental research and practical engineering applications, impacting industries such as aerospace 🚀, energy 🌱, and deep-water construction 🏗️ through technological innovation and new control strategies 🎯.

Awards and Honors :

  • 🏅 First Author and Corresponding Author in multiple SCI Q1 TOP journals

  • 🏆 Leader of Enterprise-funded Research Projects (Variable Polarity Plasma Arc Welding System)

  • 📚 Core Member of National Key R&D Programs and Major Science Projects

  • 🎖️ Recipient of Youth Project Funding from the National Natural Science Foundation of China

  • 🏅 Recognized for Contributions to National Spacecraft Manufacturing Equipment Projects

Publication Top Notes :

Morphology and energy distribution characteristics of ultra-high frequency adjustable multi-pulse GTAW arc

 

 

Prof. Jianfeng Zhu | Geotechnical engineering | Best Researcher Award

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Jianfeng Zhu | Geotechnical engineering | Best Researcher Award

Jianfeng Zhu | School of Civil Engineering and Architecture/ Zhejiang University of Science and Technology | China

Dr. Jianfeng Zhu 👨‍🏫 is a distinguished Professor at Zhejiang University of Science and Technology in China 🇨🇳, leading geotechnical engineering research. A recipient of prestigious titles like Zhejiang University leading talent and Ningbo high-level talent 🏆, his work centers on innovative low-carbon reinforcement in geotechnical engineering 🌱. With over 70 publications, including 30+ SCI papers and several monographs 📚, he actively contributes to the academic community. He serves on committees like the World Transportation Congress (WTC) and the Zhejiang Province Soil Mechanics and Geotechnical Engineering Academic Committee 🌍. Dr. Zhu also lends his expertise as a reviewer for numerous esteemed civil engineering journals ✍️.

Professional Profile : 

scopus

Summary of Suitability :

Dr. Zhu demonstrates a strong profile as a researcher through his leadership in geotechnical engineering, focus on innovative and relevant low-carbon solutions, significant publication record in reputable journals, active engagement in the academic community through committee memberships, and contribution to the field as a journal reviewer. His prestigious recognitions further underscore his impact and standing in the research community.

Education :

Work Experience :

  • Professor/Doctoral Tutor, Zhejiang University of Science & Technology (11/2021-Present) 👨‍🏫
  • Associate Professor/Doctoral Tutor, Zhejiang University of Science & Technology (11/2019-10/2021) 🧑‍🏫
  • Associate Professor, Ningbo University (11/2015-10/2019) 🏢
  • Visiting Scholar, Griffith University (Australia) (10/2016-09/2017) 🇦🇺
  • Lecturer, Ningbo University (03/2011-10/2015) 🗣️

Professional Development :

Dr. Zhu actively engages in the global geotechnical engineering community. He presented a special report at the 4th International Academic Exchange Conference on Marine Geotechnical Engineering 🗣️ and served as a Special Issue Editor for 《Sustainability》 📝. His strong reviewing and editing skills are evident through his contributions to numerous top-tier journals in civil engineering, including 《Applied Mathematical Modelling》, 《Construction and Building Materials》, and 《Ocean Engineering》, demonstrating his commitment to maintaining high scholarly standards and fostering knowledge dissemination in the field 📚.

Research Focus :

Dr. Zhu’s primary research focus lies in the realm of low-carbon reinforcement of geotechnical engineering 🌱. His work delves into innovative and sustainable methods for improving soil stability and infrastructure development. This includes investigating the use of industrial by-products like steel slag, fly ash, and calcium carbide residue for soil stabilization ♻️. 1 He also explores the mechanical behavior of soils under various environmental and construction loadings, particularly in marine environments, addressing challenges related to soft clays, coastal embankments, and the impact of waves and tunneling 🌊. His research aims to promote environmentally friendly and efficient solutions in geotechnical engineering practices 🌍.   

Publication Top Notes : 

Title: The curing mechanism and empirical model for the marine organic soft clay stabilized with calcium carbide residue and silica fume under the optimal ratio

Authors: J. Zhu, Jianfeng; Q. Zheng, Qiqi; Y. Tao, Yanli; B. Pan, Binjie; Z. Wang, Zheng–qing
Journal: Acta Geotechnica, 2025
Summary: This study investigates the stabilization of marine organic soft clay using a binary binder system consisting of calcium carbide residue (CCR) and silica fume. The research aims to elucidate the curing mechanism at an optimal mix ratio and to develop an empirical model that predicts the strength behavior of the treated soil. Emphasis is placed on mechanical performance improvements and microstructural transformations due to the chemical reactions between soil particles and stabilizers.

Title: Experimental study of the strengthening efficiency of engineering waste sludge using electro-osmosis

Authors: Y. Tao, Yanli; Z. Yu, Zeyi; J. Zhu, Jianfeng; J. Zhou, Jian; K. Li, Kaiqiang
Journal: Hydrogeology and Engineering Geology, 2025
Summary: This experimental research explores the use of electro-osmosis as a remediation and strengthening method for engineering waste sludge. The study analyzes how electric fields influence the consolidation and strength gain of the waste sludge, evaluating parameters such as water content reduction, current flow behavior, and soil resistivity. The findings are relevant for environmentally conscious ground improvement techniques, especially in managing construction-related sludge.

Title: Experimental study on the stabilization of marine soft clay as subgrade filler using binary blending of calcium carbide residue and fly ash

Summary: This paper focuses on utilizing calcium carbide residue and fly ash as a dual stabilizing agent to treat marine soft clay intended for subgrade applications. The experiments assess physical and mechanical properties such as unconfined compressive strength, compaction behavior, and long-term durability. The goal is to provide an effective, sustainable alternative to traditional soil stabilization methods by repurposing industrial by-products.

Dr. Elnaz Yaghoubi | Power System | Best Researcher Award

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Dr. Elnaz Yaghoubi | Power System | Best Researcher Award

Dr. Elnaz Yaghoubi, Karabuk University, Turkey

Dr. Elnaz Yaghoubi is an expert in energy management and smart microgrids, currently pursuing her Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey. With a Master’s degree in Electrical Engineering from Islamic Azad University, Iran, she focuses on optimizing power consumption and improving energy efficiency in large-scale networks. Her research interests include power system analysis, renewable energy, AI-driven control systems, and smart grid technology. As a Principal Researcher at Power Electrical Developing Advanced Research (PEDAR), Dr. Yaghoubi brings expertise in distributed generation, AI-based energy solutions, and telecommunications.

Professional Profile

Google Scholar

Suitability for the Best Researcher Award:

Dr. Yaghoubi’s work on the energy management of smart microgrids, along with her interdisciplinary expertise in AI, power systems, and renewable energy, aligns well with the criteria for the Best Researcher Award. Her research not only advances theoretical knowledge but also has practical implications for the future of energy sustainability and grid reliability. Her innovative approach to combining AI techniques with traditional power management solutions positions her as a leader in the energy systems field.

Education & Expertise:

Dr. Elnaz Yaghoubi is currently pursuing her Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey, specializing in energy management of smart microgrids. She also holds a Master’s degree in Electrical Engineering from the Islamic Azad University, Iran, where she focused on optimizing power consumption in large-scale networks.

Research Interests:

Her research is centered around power system analysis, microgrids, renewable energy, and AI-based control systems like machine learning and predictive control. She is passionate about improving energy efficiency and power stability in smart grids.

Work Experience:

Dr. Yaghoubi serves as a Principal Researcher at Power Electrical Developing Advanced Research (PEDAR) and has prior experience in telecommunications, specializing in traffic monitoring and data network design.

Her expertise spans power management, distributed generation, AI-driven energy solutions, and smart grid technology.

Publication Top Notes:

  • “State-of-the-art review on energy and load forecasting in microgrids using artificial neural networks, machine learning, and deep learning techniques”
    • Citations: 88
    • Published: 2023
  • “The role of mechanical energy storage systems based on artificial intelligence techniques in future sustainable energy systems”
    • Citations: 16
    • Published: 2023
  • “Triple-channel glasses-shape nanoplasmonic demultiplexer based on multi nanodisk resonators in MIM waveguide”
    • Citations: 12
    • Published: 2021
  • “Reducing the vulnerability in microgrid power systems”
    • Citations: 11
    • Published: 2023
  • “Electric vehicles in China, Europe, and the United States: Current trend and market comparison”
    • Citations: 10
    • Published: 2024

 

 

 

Mr. Ioannis Tselios | Mechanical Systems | Best Researcher Award

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Mr. Ioannis Tselios | Mechanical Systems | Best Researcher Award

Mr. Ioannis Tselios, University of Patras, Greece

Mr. Ioannis Tselios is a Ph.D. candidate in Mechanical Engineering at the University of Patras, focusing on Fault Identification in Rotating Systems through Digital Twin approaches. He holds a Diploma in Mechanical Engineering and Aeronautics from the same university. As a Research Engineer at the Machine Design Laboratory, he has contributed to fatigue analysis and design optimization of UAV crankshafts in collaboration with the Hellenic Air Force. His research expertise includes integrating Artificial Neural Networks with mechanical systems, and he has published work on unbalance estimation in rotating systems.

Professional Profile:

Google Scholar
Orcid

Suitability for the Best Researcher Award:

Mr. Ioannis Tselios has demonstrated a strong track record in both academic research and practical engineering applications. His work on fatigue analysis, fault identification, and machine learning in mechanical systems is highly innovative and aligns with current trends in industry 4.0 and predictive maintenance. Additionally, his collaboration with significant industry partners like the Hellenic Air Force and his contributions as a laboratory assistant further strengthen his profile as a researcher committed to advancing both knowledge and education in his field.

Educational Background:

Mr. Ioannis Tselios is currently pursuing a Ph.D. in Mechanical Engineering at the University of Patras (2022-present). His dissertation focuses on Fault Identification in Rotating Systems using Digital Twin approaches. He also holds a Diploma in Mechanical Engineering and Aeronautics from the same university (2016-2021).

Professional Experience:

As a Research Engineer at the Machine Design Laboratory (MDL) in collaboration with the Hellenic Air Force (2023-2024), Mr. Tselios contributed to fatigue analysis and design optimization of UAV crankshafts using Finite Element Methods (FEM). He also served as a Laboratory Assistant, helping undergraduate students in Vibration and Machine Design exercises.

Internship Experience:

In 2020, Mr. Tselios completed an internship as a Mechanical Engineer at Athenian Brewery in Patras.

Research Publications:

His work includes notable publications on Artificial Neural Networks for Unbalance Estimation in rotating systems, highlighting his expertise in integrating machine learning with mechanical design. 📚🤖

Publication Top Notes:

  • Title: Identification of Unbalance in a Rotating System Using Artificial Neural Networks
    • Publication c: 2024
  • Title: Combining Artificial Neural Networks and Mathematical Models for Unbalance Estimation in a Rotating System under the Nonlinear Journal Bearing Approach
    • Publication Year: 2024

 

 

 

Dr. Hameed Mutlag Farhan | Computer Engineering | Best Researcher Award

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Dr. Hameed Mutlag Farhan | Computer Engineering | Best Researcher Award

Dr. Hameed Mutlag Farhan, Electrical and Computer Engineering, Turkey

Dr. Farhan, a researcher with a Ph.D. in Electrical and Computer Engineering from Altinbas University, specializes in AI and IoT with a thesis on “Optimal Feature Tuning Model by Variants of Convolutional Neural Network with LSTM for Driver Distraction Detection.” His academic achievements include a high GPA of 3.86/4 and a Master’s in the same field with a focus on “Digital Image Watermarking for Copyright Protection.” Dr. Farhan has pursued additional certifications in Object-Oriented Programming, Database Programming, and Cisco Networking. His research, with publications on deep neural networks for speaker identification and intelligent face mask detection, demonstrates his expertise in deep learning and IoT. His innovative work addresses real-world challenges using advanced technology.

Professional Profile:

Scopus
Google Scholar

Suitability for the Award

Dr. Hameed Mutlag Farhan is highly suitable for the Research for Best Researcher Award due to his comprehensive academic background, innovative research in deep learning and IoT, and his impactful publications. His work has addressed critical issues such as driver distraction, digital image watermarking for copyright protection, and face mask detection in IoT contexts—each of which has significant societal and technological implications.

Academic Background:

Dr. Farhan holds a Ph.D. in Electrical and Computer Engineering from Altinbas University, with a thesis on “Optimal Feature Tuning Model by Variants of Convolutional Neural Network with LSTM for Driver Distract Detection in IoT Platform,” showcasing advanced research in AI and IoT. His academic excellence is further evidenced by a high GPA of 3.86/4.

He completed his Master of Science in Electrical and Computer Engineering from Altinbas University, focusing on “Digital Image Watermarking for Copyright Protection,” with a GPA of 3.64/4, highlighting his foundational expertise in digital image processing.

Certifications:

Dr. Farhan has pursued additional certifications in relevant areas, including Object-Oriented Programming, Database Programming, and Cisco Networking Academy courses. His recent internship in IoT research at the University of València further underscores his commitment to staying at the forefront of emerging technologies.

Research Contributions:

Dr. Farhan has made notable contributions to the field through his publications. His work includes a study on “Speaker Identification Model Based on Deep Neural Networks,” which has garnered attention in the Iraqi Journal for Computer Science and Mathematics, and an “Optimized Face Detector-Based Intelligent Face Mask Detection Model in IoT Using Deep Learning Approach,” published in Applied Soft Computing. These publications highlight his expertise in deep learning, image processing, and IoT applications.

Research Focus and Innovation:

Dr. Farhan’s research interests, particularly in optimizing models using deep learning and IoT technologies, align well with contemporary advancements in the field. His work on driver distraction detection and intelligent face mask detection showcases his ability to address real-world problems using cutting-edge technology.

Publication Top Notes:

  1. Title: Speaker Identification Model Based on Deep Neural Networks
    • Year: 2022
    • Cited by: 57
  2. Title: Optimized Face Detector-Based Intelligent Face Mask Detection Model in IoT Using Deep Learning Approach
    • Year: 2023
    • Cited by: 23
  3. Title: Data Mining and Analysis for Predicting Electrical Energy Consumption
    • Year: 2022
    • Cited by: 2
  4. Title: Data Mining Techniques for Extraction and Analysis of COVID-19 Data
    • Year: 2022
    • Cited by: 1
  5. Title: Optic Disc Segmentation in Human Retina Images with Meta Heuristic Optimization
    • Year: 2022
    • Cited by: 1