Vitalii Babak | Mathematical Modeling | Best Researcher Award

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Prof. Vitalii Babak | Mathematical Modeling | Best Researcher Award

Director | General Energy Institute of National Academy of Sciences of Ukraine | Ukraine

Prof. Vitalii Babak is a renowned Ukrainian scientist and academic leader whose distinguished career spans more than four decades in the fields of mathematical modeling, energy systems optimization, and measurement technologies. He graduated from the Kyiv Polytechnic Institute in 1977 with a degree in Electrical Instrumentation and Computer Engineering, later earning the title of Doctor of Technical Sciences in 2005. Rising through the academic ranks, he began his professional journey at the Kyiv Polytechnic Institute, progressing from engineer to head of department (1977–1995), followed by serving as Deputy Minister of Education of Ukraine for Higher Education (1995–1998) and Rector of the National Aviation University (1998–2008). From 2008 to 2021, he worked at the Institute of Technical Thermophysics of the NAS of Ukraine as Chief Research Fellow and Deputy Director, and since 2022 he has been the Director of the General Energy Institute of the NAS of Ukraine. His primary research interests include the theory of measurements, information-measuring technologies, monitoring and optimization of thermophysical processes, and improving energy efficiency and environmental performance of energy systems. A skilled project manager and innovative problem solver, he has contributed significantly to international collaborations and has published extensively in IEEE and Scopus-indexed journals. According to Scopus, his scholarly impact includes 996 citations by 528 documents, 102 publications, and an h-index of 21, reflecting the wide recognition and influence of his research. His career is decorated with prestigious honors, including Academician of the NAS of Ukraine (2003), Laureate of the State Prize of Ukraine in Science and Technology (2001), Honored Worker of Science and Technology of Ukraine (1997), and honorary doctorates from universities in the USA, Spain, Germany, Lithuania, South Korea, and Georgia. As an IEEE member and respected research leader, Prof. Babak’s contributions continue to shape the advancement of energy research and mathematical modeling, making him a highly deserving recipient of international recognition for scientific excellence.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

  • Babak, V. P., Shchepetov, V. V., & Kharchenko, S. D. (2020). Wear resistance of self-lubricating coatings due to the formation of carbide graphite. Igor Sikorsky Kyiv Polytechnic Institute.
    Cited by 72 documents.

  • Babak, V. P., Babak, S. V., Eremenko, V. S., Kuts, Y. V., & Myslovych, M. V. (2021). Models and measures for measuring random angular quantities. Models and Measures in Measurements and Monitoring, 61–97.
    Cited by 69 documents.

  • Babak, V. P., Babak, S. V., Eremenko, V. S., Kuts, Y. V., & Myslovych, M. V. (2021). Models and measures in measurements and monitoring. Springer International Publishing.
    Cited by 69 documents.

  • Babak, V., Zaporozhets, A., Kuts, Y., Scherbak, L., & Eremenko, V. (2021). Application of material measure in measurements: theoretical aspects. Systems, Decision and Control in Energy II, 261–269.
    Cited by 57 documents.

  • Sokol, Y., Babak, V., Zaporozhets, A., Gryb, O., Karpaliuk, I., & Svetelik, O. (2024). Theoretical principles of acoustic radiation created by corona discharge. Detection of Corona Discharge in Electric Networks, 57–86.
    Cited by 1 document.

 

Ramtin Hajirezaei | Numerical Analysis | Best Researcher Award

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Dr. Ramtin Hajirezaei | Numerical Analysis | Best Researcher Award

PhD at Western Sydney University, Australia

Dr. Ramtin Hajirezaei is a dynamic civil engineer and researcher specializing in seismic analysis, modular steel structures, and structural dynamics. With a Master’s degree from Tarbiat Modares University, he has demonstrated exceptional academic and research prowess. His publications in high-impact journals reflect significant contributions to structural safety and progressive collapse mechanisms. Proficient in tools like Abaqus and Python, and backed by certifications from institutions like Georgia Tech and the University of Michigan, he bridges traditional engineering with modern computational approaches. His work stands out for its practical relevance and interdisciplinary depth, marking him as a leading figure in structural research.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

📚 Education

Dr. Ramtin Hajirezaei holds a Master of Science in Hydraulic Structures from Tarbiat Modares University, Tehran, where he completed a high-grade thesis on the seismic response of intake towers. He previously earned a Bachelor of Science in Civil Engineering. His academic background is rooted in advanced structural courses, including finite element methods, structural dynamics, and concrete dam design. Complementing his formal education, he has undertaken international certifications in Python programming and mechanics of materials from institutions such as Georgia Tech and the University of Michigan. This diverse academic foundation reflects both technical depth and global academic orientation.

🏢 Professional Experience

Though primarily research-focused, Dr. Ramtin Hajirezaei brings hands-on experience through technical engineering roles and advanced coursework. He has worked on seismic analysis and design of modular structures and has completed certified training in technical design at Sharif Center of Technical Applied Education. He is proficient with engineering tools such as Abaqus, Etabs, SAP, and AutoCAD—skills that have directly supported his academic and professional projects. His exposure to industry-relevant problems and advanced analytical software highlights a unique blend of theory and application. Additionally, his understanding of Python and Fortran enhances his ability to tackle complex engineering simulations and structural modeling tasks with precision.

🔬 Research Interests

Dr. Hajirezaei’s research focuses on seismic performance of structures, dynamic behavior of modular steel buildings, progressive collapse mechanisms, and the overturning behavior of free-standing towers. His interests also extend to sustainable engineering practices such as green building technologies and structural health monitoring. This diverse spectrum of research themes highlights a deep commitment to safety, innovation, and environmental responsibility. He is particularly passionate about addressing real-world challenges in earthquake-prone zones, using advanced computational modeling and simulation techniques. His goal is to integrate structural resilience with smart monitoring systems to build safer, more sustainable infrastructure for the future.

🏅 Awards and Honors

Dr. Ramtin Hajirezaei has consistently excelled throughout his academic journey, earning prestigious recognitions such as a full scholarship from Tarbiat Modares University. His innovative thinking was also showcased when he secured third place in the National Spaghetti Bridge Competition, demonstrating both creativity and structural understanding. Additionally, he is a provincial Taekwondo champion, underscoring his dedication and discipline across diverse fields. These honors reflect his multi-dimensional strengths and consistent pursuit of excellence in both academic and extracurricular arenas.

🧰 Research Skills

Dr. Hajirezaei possesses an impressive suite of research skills, combining theoretical knowledge with advanced software capabilities. He is highly proficient in structural analysis tools like Abaqus, Etabs, SAFE, and SAP, essential for simulating real-world structural responses. His programming expertise in Python and Fortran enables him to develop customized simulations and process large-scale data models efficiently. He also holds certificates in advanced materials and engineering design, alongside language fluency proven through IELTS and TOEFL scores. With competencies spanning coding, modeling, structural design, and data interpretation, he is equipped to tackle interdisciplinary research challenges with rigor and innovation.

📝Publications Top Note 

  • Title: Collapse Capacity of Modular Steel Buildings Subject to Module Loss Scenarios: The Role of Inter-Module Connections
    Authors: M. Alembagheri, P. Sharafi, R. Hajirezaei, B. Samali
    Year: 2020
    Citations: 86
    Source: Engineering Structures, Volume 210, Article 110373

  • Title: Anti-Collapse Resistance Mechanisms in Corner-Supported Modular Steel Buildings
    Authors: M. Alembagheri, P. Sharafi, R. Hajirezaei, Z. Tao
    Year: 2020
    Citations: 47
    Source: Journal of Constructional Steel Research, Volume 170, Article 106083

  • Title: Robustness of Multistory Corner‐Supported Modular Steel Frames Against Progressive Collapse
    Authors: M. Alembagheri, P. Sharafi, Z. Tao, R. Hajirezaei, K. Kildashti
    Year: 2021
    Citations: 14
    Source: The Structural Design of Tall and Special Buildings, Article e1896

  • Title: Robustness of Corner-Supported Modular Steel Buildings with Core Walls
    Authors: R. Hajirezaei, P. Sharafi, K. Kildashti, M. Alembagheri
    Year: 2024
    Citations: 6
    Source: Buildings, Volume 14, Issue 1

  • Title: Overturning Response Analysis of Free-Standing Intake Tower Subjected to Seismic Pulses
    Authors: R. Hajirezaei, M. Alembagheri
    Year: 2020
    Citations: 4
    Source: Amirkabir Journal of Civil Engineering, Volume 52, Issue 7, Pages 1817–1836

  • Title: Façade Systems for Industrialised Prefabricated Prefinished Modular Construction
    Authors: R. Hajirezaei, P. Sharafi, E.N. Farsangi, P. Rahnamayiezekavat
    Year: 2025
    Source: Automation in Construction, Volume 176

  • Title: Overturning Response Analysis of Submerged Free-Standing Blocks and Towers Subjected to Sinusoidal Pulses
    Authors: R. Hajirezaei, M. Alembagheri, H. Akbari, T. Ozbakkaloglu
    Year: 2024
    Source: Structures, Volume 64, Article 106617

🧩 Conclusion

Dr. Ramtin Hajirezaei exemplifies the qualities of a forward-thinking researcher with a strong technical foundation, global academic exposure, and a vision for resilient infrastructure. His work bridges the gap between theoretical modeling and practical application, especially in the realm of seismic safety and structural integrity. Backed by impactful publications, recognized certifications, and a broad research interest, he is not only contributing to current engineering knowledge but also paving the way for innovative future solutions. With his rare blend of analytical skills, dedication, and global mindset, he stands as a compelling candidate for prestigious research honors.

Heng-Guo Zhang | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Heng-Guo Zhang | Applied Mathematics | Best Researcher Award

Associate Professor at Shandong University, China

Dr. Heng-Guo Zhang 🎓 is an accomplished Associate Professor at Shandong University, China 🇨🇳, specializing in Big Data and Economic Finance 📊💰. With a Ph.D. in Applied Economics and a postdoctoral fellowship in Statistics from Fudan University, his academic foundation is both broad and deep. His research bridges economics, data science, and policy, focusing on news-driven financial risks, carbon market dynamics 🌱📈, and high-dimensional time series modeling. Dr. Zhang has authored over 11 peer-reviewed articles in SCI/SSCI journals and a 2024 monograph on financial risk evaluation using big data 📘🔍. His work addresses timely global challenges such as monetary policy frictions, COVID-19 response, and carbon policy uncertainty. Passionate about data-driven policymaking and economic modeling, Dr. Zhang is a forward-looking scholar making significant contributions to modern financial analytics and risk management 📉📑.

Professional Profile 

Scopus Profile

🎓 Education

Dr. Heng-Guo Zhang has a strong interdisciplinary academic background. He earned his Ph.D. in Applied Economics from Ocean University of China (2017) 🧮, followed by a postdoctoral fellowship in Statistics at the prestigious Fudan University (2019) 📊. Prior to this, he completed his M.S. in Information Science (2011) and B.S. in Library Science (2008) from Sun Yat-sen University 🏫. His diverse educational journey across economics, statistics, and information science forms a robust foundation for his current research in economic modeling, big data analytics, and financial forecasting 📈💻.

 🏛️ Professional Experience

Dr. Zhang currently serves as an Associate Professor at the Center for Economic Research, Shandong University (since 2019) 🏛️. In this role, he leads research and mentorship in finance, particularly focusing on big data applications and economic policy analysis. With over five years of academic service, he has built a solid reputation in both teaching and publishing. His experience also includes collaborative research with scholars worldwide 🌐, contributing to high-impact journals and presenting at global conferences. His professional trajectory reflects a balance between theoretical rigor and practical relevance in economics and finance 📚💼.

🔬 Research Interest

Dr. Zhang’s research revolves around Big Data and Economic Finance 📊💵. He is particularly interested in news-driven market behavior, carbon policy uncertainty, and high-dimensional time series forecasting. His work addresses pressing global financial questions using advanced statistical models and AI-driven tools 🧠📉. Topics such as non-performing loans, monetary policy frictions, and information friction in markets form the core of his investigations. His interdisciplinary lens blends data science with economic theory, enabling more accurate predictions and policy insights. Dr. Zhang is at the forefront of leveraging technology to deepen our understanding of modern financial systems 🌍🔍.

🏅 Awards and Honors

While detailed awards are not listed, Dr. Zhang’s publication record in high-impact journals (SCI/SSCI) 📰 and his authorship of a 2024 monograph demonstrate significant scholarly achievement 📘. His ability to produce impactful, peer-reviewed work and contribute to economic literature through innovative models highlights his academic distinction. Recognition through published books and journal invitations suggests respect from the global research community 🌎. Given his trajectory, Dr. Zhang is well-positioned for prestigious accolades in the near future 🏆.

🛠️ Research Skills

Dr. Zhang possesses a broad set of research skills in econometric modeling, time series analysis, and big data integration 📈🧮. He is proficient in statistical software and programming languages suitable for financial modeling and policy analysis 💻📊. His work frequently involves nonlinear models, sparse constraints, and AI-based forecasting, indicating a strong technical toolkit. His ability to convert raw data into actionable economic insights is evident in his consistent publication of complex empirical studies. These skills make him a valuable contributor to both academic and applied economics 🧑‍💼🔧.

Publications Top Note 📝

  • An Adaptive Evolutionary Causal Dynamic Factor Model
    • Authors: Wei Q., Zhang H. G.
    • Year: 2025
    • Source: Mathematics (SCI), 13(11):1891

  • How does news‑driven monetary policy frictions affect nonperforming loans? Taking Chinese commercial banks as an example
    • Authors: Zhang H. G., Wang S., Xie Y.
    • Year: 2025
    • Source: The North American Journal of Economics and Finance (SSCI), 76:102353

  • News‑driven bubbles in futures markets
    • Authors: Zhang H. G., Li T.
    • Year: 2023
    • Source: Journal of Energy Markets (SCI), 16(2):55–78

  • Does carbon policy uncertainty affect economic growth? Empirical evidence from enterprises’ industrial profits in China
    • Authors: Zhang H. G., Wenti Du, Yuchi Xie
    • Year: 2023
    • Source: Economic Computation & Economic Cybernetics Studies & Research (SSCI), 57(3):283–294

  • Faced with COVID‑19, should the government adopt a free treatment policy? Evidence from China
    • Authors: Zhang H. G.
    • Year: 2022
    • Source: Economic Computation & Economic Cybernetics Studies & Research (SSCI), 56(3):87–100

  • Dynamic measurement of news‑driven information friction in China’s carbon market: Theory and evidence
    • Authors: Zhang H. G., Tingting Cao, Li H., Xu T.
    • Year: 2021
    • Source: Energy Economics (SCI), 95:104994

  • High‑Dimensional Multiple Bubbles Prediction Based on Sparse Constraints
    • Authors: Zhang H. G., Wu L.
    • Year: 2019
    • Source: IEEE Access (SCI), 7:38356–38368

  • Can onshore spot market progress influence offshore NDF market development for the CNY?
    • Authors: Su C. W., Wang K. H., Zhang H. G., Nian R.
    • Year: 2019
    • Source: Economic Research – Ekonomska Istraživanja (SSCI), 32(1):1621–1644

  • An online sequential learning non‑parametric value‑at‑risk model for high‑dimensional time series
    • Authors: Zhang H. G., Wu L., Song Y., Su C. W., Wang Q., Su F.
    • Year: 2018
    • Source: Cognitive Computation (SCI), 10(2):187–200

  • Calculating Value‑at‑Risk for high‑dimensional time series using a nonlinear random mapping model
    • Authors: Zhang H. G., Su C. W., Song Y., Qiu S., Xiao R., Su F.
    • Year: 2017
    • Source: Economic Modelling (SSCI), 67:355–367

  • Is exchange rate stability beneficial for stabilizing consumer prices in China?
    • Authors: Su C. W., Zhang H. G., Chang H. L., Nian R.
    • Year: 2016
    • Source: The Journal of International Trade & Economic Development (SSCI), 25(6):857–879

✅ Conclusion

Dr. Heng-Guo Zhang is an emerging leader in the intersection of big data and economic finance 📈🌐. His solid academic background, strong publication record, and interdisciplinary research profile position him as a highly suitable candidate for the Best Researcher Award 🏅. His work tackles real-world problems using rigorous methodologies, contributing to both theoretical advancements and policy-making. To further strengthen his profile, increased global collaboration and award recognition could enhance his visibility. Overall, Dr. Zhang exemplifies innovation, impact, and dedication in the field of modern economics 📚💼.