Ziyoda Adilova | Engineering | Innovative Research Award

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Innovative Research Award

Ziyoda Adilova
Tashkent State Transport University, Uzbekistan
Ziyoda Adilova
Affiliation Tashkent State Transport University
Country Uzbekistan
Scopus ID 57192575499
Documents 30
Citations 131
h-index 7
Subject Area Engineering
Event Top Teachers Awards
ORCID 0000-0002-1825-2447
Google Scholar m5hPvtMAAAAJ

Ziyoda Adilova is an Uzbek engineering researcher and academic affiliated with Tashkent State Transport University. Her scholarly work focuses on railway transport systems, freight transportation, railcar dynamics, maintenance optimization, transport logistics, and railway safety engineering. Through research on dynamic modelling, service-life extension technologies, and freight transport innovations, she has contributed to the advancement of transportation engineering and railway operational efficiency.[1]

Abstract

This article summarizes the academic achievements, research activities, professional experience, scientific projects, and scholarly contributions of Ziyoda Adilova. Her work primarily addresses railway transport engineering, railcar dynamics, freight transportation systems, transport logistics, and maintenance optimization. The combination of theoretical modelling and practical engineering applications demonstrates sustained contributions to transportation research and railway operational safety.[1]

Keywords

Railway Engineering, Freight Transport Systems, Railcar Dynamics, Transport Logistics, Maintenance Optimization, Railway Safety, Engineering Research, Rail Service Vehicles, Transportation Technology, Infrastructure Engineering.

Introduction

Railway transportation remains a critical component of economic development and logistics infrastructure. Research directed toward improving operational safety, freight efficiency, and rolling-stock performance plays an important role in modern transportation systems. Ziyoda Adilova’s academic activities have focused on these areas through investigations of railcar oscillations, maintenance strategies, freight flow optimization, and innovative transport technologies.[1]

Research Profile

Adilova completed her bachelor’s and graduate studies at the Tashkent Institute of Railways and Engineers between 2003 and 2009. She subsequently progressed through research and academic positions, including trainee researcher, assistant lecturer, senior researcher, researcher, doctoral candidate, and professor. Her academic development reflects long-term engagement with transport engineering education and railway research.[1]

  • Bachelor and graduate education in railway engineering.
  • PhD and DSc doctoral training in transport logistics and freight transport systems.
  • Professor, Department of Freight Transport Systems.
  • Research interests in rail vehicle dynamics and transport logistics.
  • Member of Science Slam.

Research Contributions

The research contributions of Adilova are centered on mathematical modelling of railcar structures, oscillation analysis of rolling stock, maintenance planning, railway safety, and freight transport optimization. Her investigations have supported the development of analytical tools for understanding rail vehicle performance under operational conditions and have contributed to extending service life and reliability of transport assets.[2]

  • Dynamic modelling of railcar bearing frames.
  • Oscillation analysis of rail service vehicles.
  • Preventive maintenance optimization methodologies.
  • Freight flow enhancement technologies.
  • Railway safety-oriented engineering innovations.
  • Development of container block-train logistics technologies.
  • Projects addressing service-life extension of transport vehicles.

Publications

Selected publications demonstrate sustained research activity in railway engineering and transport systems, particularly in railcar dynamics and maintenance analysis.[2]

  1. Modelling of Fluctuations in the Main Bearing Frame of Railcar.
  2. Mathematical Model for Calculation of Oscillations in the Main Bearing Frame of Railcar with Changing Stiffness and Physical Parameters.
  3. Mathematical Model of Oscillations of Bearing Body Frame of Emergency and Repair Railcars.
  4. Development of Generalized Dynamic Model of Oscillations of the Main Frame and Running Gear of Rail Service Cars.
  5. Analysis of Optimal Periodicity of Preventive Maintenance of Rail Service Car Taking into Account Operational Technology.

Research Impact

The research output associated with Adilova has contributed to engineering knowledge related to rolling-stock reliability, transport safety, and freight transportation efficiency. Her scholarly profile includes 30 indexed documents, 131 citations, and an h-index of 7, indicating measurable academic visibility within transportation and engineering research communities.[1]

Beyond publication activity, she has led scientific and industrial projects addressing logistics technologies and service-life extension methods for railway vehicles. These initiatives demonstrate engagement with practical transportation challenges and knowledge transfer between academia and industry.[1]

Award Suitability

Ziyoda Adilova’s academic profile aligns with the objectives commonly associated with innovation and teaching recognition programs. Her record includes scholarly publications, leadership of applied research projects, university-level teaching responsibilities, and national recognition through scientific competitions. Notable distinctions include participation as a winner in the “100 Best Innovative Projects of Uzbekistan Women” competition and recognition in the national “Young Scientist” competition. These achievements provide evidence of sustained contributions to engineering research, innovation, and higher education.[1]

Conclusion

Ziyoda Adilova has established a research profile focused on railway engineering, freight transportation systems, transport logistics, and rail vehicle dynamics. Through academic leadership, engineering research, scientific project management, and publication activity, she has contributed to both theoretical and applied developments in transportation engineering. Her achievements support consideration for professional and academic recognition within the engineering and higher-education sectors.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Ziyoda Adilova, Author ID 57192575499. Scopus. https://www.scopus.com/authid/detail.uri?authorId=57192575499
  2. Mukhamedova, Z., and collaborators. Selected publications in railway engineering, railcar dynamics, transport logistics, and maintenance optimization. https://scholar.google.com/citations?user=m5hPvtMAAAAJ&hl=en&oi=sra
  3. ORCID. (n.d.). Researcher Profile: Ziyoda Adilova. https://orcid.org/0000-0002-1825-2447
  4. Top Teachers Awards. (n.d.). Award and recognition platform. https://topteachers.net/
  5. Evaluating skill acquisition in primary education in Uzbekistan through STEAM-based learning approaches. G Mukhamedov, Z Mukhamedova, D Mukhamedova, G Fuzailova, Z Dineeva, OD Akanji. Discover Education. https://link.springer.com/article/10.1007/s44217-026-01442-9

Giovanni Maria Ferraris | Engineering | Research Excellence Award

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Dr. Giovanni Maria Ferraris | Engineering | Research Excellence Award

University of Genoa | Italy

Dr. Giovanni Maria Ferraris is an interdisciplinary engineering researcher specializing in occupational health and safety, fire prevention, risk analysis, and industrial project management, with contributions spanning energy systems, environmental protection, and critical infrastructure. His research integrates applied engineering solutions with safety, sustainability, and innovation in complex industrial and public systems. He has authored 6 Scopus-indexed documents with 3 citations and an h-index of 1, reflecting emerging scholarly impact. His profile is further strengthened by academic engagement in engineering, security, and decision-making systems. Ferraris’s work bridges research, policy, and practice in high-risk and technologically advanced environments.

Citation Metrics (Scopus)

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Featured Publications

Zina Boussada | Engineering | Research Excellence Award

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Dr. Zina Boussada | Engineering | Research Excellence Award

Company for Petroleum Research and Operations | Tunisia

Dr. Zina Boussada is an emerging researcher in electrical engineering whose work bridges advanced control systems, intelligent automation, renewable energy technologies, and high-performance power electronics. Her scientific contribution focuses on the modeling, optimization, and control of induction motors, photovoltaic systems, and microgrid energy management using intelligent and hybrid computational approaches. She has contributed extensively to sensorless motor control through ANFIS-based strategies, multilevel NPC inverter topologies, stator-flux orientation techniques, and advanced inverter modulation methods, enhancing system efficiency, stability, and predictive performance in industrial and renewable energy applications. Her research extends to photovoltaic cell modeling, hybrid optimization frameworks, exponential smoothing forecasting, diode-clamped inverter strategies, and comparative inverter control techniques, addressing key challenges in modern smart-grid and clean-energy systems. She has collaborated with several research groups and contributed to journals and international conferences in the areas of energy systems, green technologies, and intelligent electrical drives. Her publication record reflects steady scholarly growth, supported by contributions in peer-reviewed journals such as Symmetry, WSEAS Transactions on Systems and Control, the International Journal of Environmental Sciences, and various high-impact conference proceedings. She has also published multiple studies on photovoltaic modeling and multilevel inverter technologies, reinforcing her position within the renewable-energy research community. Her citation metrics indicate increasing academic visibility, with Scopus reporting approximately 490 citations from 482 citing documents, 23 indexed documents, and an h-index of 9. Google Scholar metrics show comparable academic impact, reflecting a growing global readership and recognition for her work in intelligent control and energy-system optimization. Overall, her research trajectory demonstrates strong potential for continued advancement in sustainable energy technologies, intelligent control methodologies, and high-performance electrical systems, positioning her as a promising candidate for the Research Excellence Award.

Publication Profile

Scopus | Orcid 

Featured Publications

Boussada, Z., Omri, B., & Ben Hamed, M. (2025). High-performance sensorless control of induction motor via ANFIS and NPC inverter topology. Symmetry.

Boussada, Z., Omri, B., & Ben Hamed, M. (2025). Data-driven optimization for efficient integration of photovoltaic agents in residential microgrid systems. Euro-Mediterranean Journal for Environmental Integration.

Xingjian Huang | Engineering | Best Research Article Award

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Dr. Xingjian Huang | Engineering | Best Research Article Award

Huaihua University | China

Xingjian Huang is a distinguished food‑science researcher whose work integrates protein chemistry, food structure and functionality, biopolymer‑based materials, and the nutritional evaluation of plant proteins. His research has significantly advanced understanding of how soy proteins and other plant‑derived proteins behave under various processing conditions, including proteolysis, gelation, hydrolysis, and complex formation, and how these behaviors influence texture, gel strength, nutritional quality, and functional properties. Among his notable contributions is the study of amyloid‑fibril formation from selectively hydrolyzed soy protein hydrolysates, which provided key insights into protein aggregation, fibrillation mechanisms, and structural modification. He has also conducted extensive research on exopolysaccharide production by lactic acid bacteria, improving yields through strain screening and optimization of fermentation and extraction conditions, linking microbial fermentation to food‑biopolymer applications. In addition, Huang has investigated the nutritional value and amino acid composition of various plant proteins, such as the protein subunits of the Chinese chestnut (Castanea mollissima), enhancing understanding of plant protein quality and potential functional applications. His work further explores the practical implications of protein interactions in food systems, including mixed‑protein gels, soy‑protein/corn‑starch composites, and the interplay of lipids and proteins in gel networks, bridging fundamental biochemical insights with industrial food processing relevance. Huang’s research has contributed valuable knowledge for improving food texture, nutrition, and the scalable processing of plant‑based proteins, supporting both academic research and applied food technology. According to his ResearchGate profile, he has published over 20 peer‑reviewed papers with more than 1,800 reads, demonstrating significant influence in the field and a substantial citation record that reflects his impact on food science research worldwide. For his outstanding contributions, Xingjian Huang has been recognized with the Best Research Article Award, highlighting his innovative work and high impact in the field of food science and technology.

Publication Profile

Orcid

Featured Publications

Yang, F., Huang, X., Zhang, C., … Hao, Y. (2018). Amino acid composition and nutritional value evaluation of Chinese chestnut (Castanea mollissima Blume) and its protein subunit. RSC Advances.

Xie, D., Liu, X., Zhang, H., … Pan, S., Huang, X. (2017). Textural properties and morphology of soy 7S globulin–corn starch (amylose, amylopectin). International Journal of Food Properties.

Xia, W., … Pan, S., Huang, X. (2017). Formation of amyloid fibrils from soy protein hydrolysate: Effects of selective proteolysis on β‑conglycinin. Food Research International.

Qi, L., … Pan, S., Huang, X. (2016). Yield improvement of exopolysaccharides by screening of the Lactobacillus acidophilus ATCC and optimization of the fermentation and extraction conditions. EXCLI Journal.

Pan, Y., Huang, X., Shi, X., … Du, Y. (2015). Antimicrobial application of nanofibrous mats self-assembled with quaternized chitosan and soy protein isolate. Carbohydrate Polymers.

 

Vasso Papadimitriou | Engineering | Best Researcher Award

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Ms. Vasso Papadimitriou | Engineering | Best Researcher Award

Aristotle University of Thessaloniki | Greece

Ms. Vasso Papadimitriou is an accomplished researcher and academic affiliated with the Aristotle University of Thessaloniki and the Region of Central Macedonia, Greece. Her research primarily focuses on construction project management, cost estimation models, and the integration of Artificial Intelligence (AI) and Machine Learning (ML) techniques, particularly Artificial Neural Networks (ANNs), in the field of building renovation and project planning. She has contributed significantly to the development of predictive and hybrid models that enhance accuracy in early-stage and final cost estimation for construction and renovation projects. Dr. Papadimitriou’s innovative work combines ANN methodologies, including Radial Basis Function (RBF) and Multilayer Perceptron (MLP) networks, with Multi-Criteria Decision-Making (MCDM) approaches such as the TOPSIS Methodology to create efficient, data-driven tools for project assessment and optimization. Her research also aligns with Sustainable Development Goals (SDG 9 and SDG 17), focusing on promoting innovation, infrastructure, and partnerships for sustainable growth. She has published in international peer-reviewed journals indexed in Scopus, Web of Science (SCI-Expanded, ESCI), and other scientific databases. According to Scopus, she has 6 publications, 3 citations, and an h-index of 1. On Google Scholar, she holds 14 total citations, an h-index of 3, and an i10-index of 1, while ResearchGate records 6 publications, 11 citations, and an h-index of 2. Her interdisciplinary approach bridges civil engineering, computer science, and digital construction, contributing to advancements in cost modeling and sustainable infrastructure management. Through her publications and research collaborations, Dr. Papadimitriou continues to make impactful contributions to the field of engineering innovation and AI-driven construction technology. Her outstanding achievements and innovative contributions to predictive modeling and sustainable construction management make her a deserving nominee for the Best Researcher Award.

Publication Profile

Scopus | Google Scholar

Featured Publications

Papadimitriou, V. E., & Aretoulis, G. N. (2024). A final cost estimating model for building renovation projects. Buildings, 14(4), 1072.

Papadimitriou, V. E., Aretoulis, G. N., & Papathanasiou, J. (2024). Radial Basis Function (RBF) and Multilayer Perceptron (MLP) comparative analysis on building renovation cost estimation: The case of Greece. Algorithms, 17(9), 390.

Papadimitriou, V., & Aretoulis, G. (2023). Neural network models as a cost prediction tool to prevent building construction projects from a failure—A literature review. Proceedings of the Erasmus+ PROSPER Project International Scientific Conference, 1–10.

Papadimitriou, V. E., & Aretoulis, G. N. (2025). An innovative approach regarding efficient and expedited early building renovation cost estimation utilizing ANNs and the TOPSIS methodology. Algorithms, 18(11), 696.

Kritikos, P., Papadimitriou, V., & Aretoulis, G. N. (2021). Required project designers’ attributes as perceived by male and female engineers. International Journal of Decision Support System Technology (IJDSST), 13(4), 1–15.

 

 

Viorel Paunoiu | Engineering | Best Researcher Award

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Prof. Viorel Paunoiu | Engineering | Best Researcher Award

Professor at Dunarea de Jos University of Galati, Romania

Viorel Păunoiu is a distinguished professor and researcher in Industrial Engineering, specializing in metal forming processes, additive manufacturing, and advanced manufacturing technologies. He has dedicated his career to academia and research, significantly contributing to technological advancements in manufacturing. He is currently a professor at “Dunarea de Jos” University of Galati, where he also serves as a PhD supervisor. With over three decades of experience, he has led numerous research projects, supervised doctoral students, and contributed to international collaborations. He has also held various leadership positions, including Director of the Manufacturing Engineering Department and Editor-in-Chief of the university’s scientific journal. His expertise spans industrial process modeling, simulation, and optimization, making him a key figure in Romania’s industrial research community. His contributions have earned him multiple awards and honors, further solidifying his impact on the field.

professional profiles📖

Google Scholar

Scopus Profile

Education 🎓

Viorel Păunoiu holds a PhD in Industrial Engineering from “Dunarea de Jos” University of Galati (1992-1998), focusing on metal forming processes. He earned his Bachelor of Science in Mechanical Engineering from the same institution in 1984. Over the years, he has pursued continuous education, completing post-university studies in CAD design (2007) and industrial property protection (2001). His international academic exposure includes research activities at CEMEF, France (1992), and training in advanced manufacturing techniques in Poland, Ireland, Greece, and Italy. Additionally, he obtained a Certificate of Graduation in Quality Management (2009) and English Language (2013). His academic background is complemented by specialized training in powder metallurgy (1999) and visiting professorships, including the University of Constantine, Algeria (2018). These educational experiences have shaped his expertise in industrial engineering, manufacturing processes, and innovative material technologies.

work Experience💼

Viorel Păunoiu has an extensive career spanning academia, research, and industry. He began as a Design Engineer at MEFIN Sinaia (1984-1987), then transitioned to academia as a Research Assistant (1987-1990) and later Assistant Professor (1990-1992) at “Dunarea de Jos” University of Galati. Over the years, he progressed to Lecturer (1992-2001), Associate Professor (2001-2004), and Professor (2004-present). He currently serves as a PhD Supervisor and Professor Habilitat in Industrial Engineering. His leadership roles include Director of the Manufacturing Engineering Department (2011-2019), Director of the Engineering Research Center (2011-present), and Editor-in-Chief of a scientific journal. He has actively contributed to the university’s governance, serving on the Faculty and Senate councils. His expertise extends to quality assurance, as an evaluator for ARACIS. His career is marked by international collaborations, project leadership, and a strong impact on industrial research and education.

Awards and Honors 

Viorel Păunoiu has received numerous accolades for his contributions to Industrial Engineering. He has won multiple First Awards and Gold Medals at UGAL Invent (2021, 2023) and was honored with the Excellence Award “Octavian Pruteanu” (2013, 2023). His research excellence was recognized with the BEST PAPER AWARD at CSM 2018. In 2017, he received a Special Charter for his contributions to the International Conference on Advanced Manufacturing Engineering and Technologies (NEWTECH). His international recognition includes the Excellence Diploma at TMCR Chișinău (2011) and awards for his contributions to advanced manufacturing and reconfigurable processing systems (2007). His leadership in organizing international conferences and pioneering research in manufacturing technologies has earned him distinction among peers. As an esteemed figure in the industry, his work continues to influence engineering research, industrial applications, and academic advancements.

Research Focus

Viorel Păunoiu’s research revolves around metal forming processes, advanced manufacturing, and additive manufacturing. His work emphasizes modeling and simulation of plastic deformation in sheet metal forming and powder forming technologies. He specializes in inspection technologies, digital forming, and reconfigurable manufacturing, integrating modern computational methods to optimize industrial processes. His research extends to intelligent manufacturing for automotive and aerospace applications, focusing on process automation and material behavior analysis. Additionally, he explores hybrid manufacturing, combining traditional and emerging production techniques. His contributions include innovations in multi-point forming, incremental forming, and laser-assisted forming technologies. His extensive publications and projects reflect his dedication to advancing industrial engineering, bridging the gap between theoretical research and practical industrial applications. His work significantly impacts manufacturing efficiency, cost reduction, and product quality improvement in global industries.

Skills 💡

Viorel Păunoiu possesses a diverse skill set, including expertise in industrial engineering, metal forming, and manufacturing technologies. He is proficient in CAD software like Solid Edge, FEA software for deformation modeling (DYNAFORM), and photo editing tools (Adobe Photoshop, CorelDraw). His project management skills include leading national and international research projects in manufacturing innovation. He has extensive organizational and managerial skills, having directed multiple research centers and academic departments. His communication skills enable effective teaching, research collaboration, and conference organization. He is experienced in scientific review for journals like Elsevier’s Measurement, Materials Design, and MDPI’s Applied Sciences. Additionally, his multidisciplinary approach incorporates artificial intelligence in manufacturing, robotic-assisted forming, and sustainable manufacturing processes. His technical expertise is complemented by his leadership in academic governance, international collaborations, and industry partnerships with major companies like DACIA-RENAULT

 

Conclusion✅

Viorel Păunoiu is a highly qualified candidate for the Best Researcher Award, given his long-standing contributions to industrial engineering, leadership in academic research, and involvement in impactful projects. His work significantly influences manufacturing processes, metal forming, and advanced materials engineering. Strengthening his international visibility, patents, and interdisciplinary collaborations would further enhance his credentials.

 

📚Publications to Noted

 

Laser bending of stainless steel sheet metals

Authors: V. Păunoiu, E.A. Squeo, F. Quadrini, C. Gheorghies, D. Nicoara

Citations: 41

Year: 2008

Numerical simulations in reconfigurable multipoint forming

Authors: V. Păunoiu, P. Cekan, E. Gavan, D. Nicoara

Citations: 32

Year: 2008

Simulation of friction phenomenon in deep drawing process

Authors: V. Păunoiu, D. Nicoară

Citations: 20

Year: 2003

Study on the Transition from the Linear Economy to the Circular Economy

Authors: C. Afteni, V. Păunoiu, M. Afteni

Citations: 18

Year: 2021

Simulation of Plate’s Deformation Using Discrete Surfaces

Authors: V. Păunoiu, N. Oancea, D. Nicoara

Citations: 15

Year: 2004

Using 3D scanning in assessing the dimensional accuracy of mechanically machined parts

Authors: C. Afteni, V. Păunoiu, M. Afteni, V. Teodor

Citations: 13

Year: 2022

Springback compensation in reconfigurable multipoint forming

Authors: V. Păunoiu, V. Teodor, A. Epureanu

Citations: 12

Year: 2009

Simulation of the combined reconfigurable multipoint forming and rubber forming

Authors: V. Păunoiu, P. Cekan, M. Banu, A. Epureanu, D. Nicoara

Citations: 12

Year: 2008

Experimental and finite element analysis of Erichsen test. Application to identification of sheet metallic material behaviour

Authors: V. Oleksik, A. Gavrus, V. Păunoiu, O. Bologa

Citations: 11

Year: 2009

A general upper bound method for forces calculation in tube spinning process

Authors: V. Păunoiu, D. Nicoara, M. Teodorescu

Citations: 11

Year: 1999