Hongling Zhou | Computational Methods | Best Researcher Award

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Dr. Hongling Zhou | Computational Methods | Best Researcher Award

Chongqing University | China

Dr. Hongling Zhou is an Associate Professor at Chongqing University, specializing in Materials Processing Engineering. She earned his Ph.D. in Materials Processing Engineering from Sichuan University (SCU), China, where she excelled academically with a GPA of 3.9/4.00. Her international research exposure includes a Visiting Student position at Pennsylvania State University (PSU), USA. With her deep-rooted expertise in first-principles calculations, metal-based material design, and advanced material characterization, she continues to contribute significantly to the field of material science. Her work bridges theoretical research with practical applications, making him a prominent researcher in her field.

👨‍🎓Profile

Google scholar

Scopus

Early Academic Pursuits 📚

Dr. Zhou’s academic journey began at Sichuan University, where she completed his Bachelor’s and Master’s degrees in Materials Processing Engineering, earning a solid foundation in material science with top-tier GPA scores. Her remarkable academic achievements include distinctions like National First-class Scholarships and Outstanding Graduate Student honors, further demonstrating her commitment and excellence in the field of material science. Her time as a Visiting Student at PSU allowed her to broaden her knowledge base, specifically in Materials Science and Engineering, gaining international exposure.

Professional Endeavors 🌐

Dr. Zhou’s professional career has been marked by her transition to an Associate Professor at Chongqing University in 2021. There, she leads research on first-principles calculations and the synthesis of metal-based materials using field-assisted sintering techniques. Her work focuses on designing high-performance materials for advanced technological applications. Over the years, she has worked extensively on topics related to thermodynamic properties, material preparation, and metallurgical processes, establishing herself as a key figure in materials research both in China and internationally.

Contributions and Research Focus 🔬

Dr. Zhou’s research spans several crucial areas, including:

  1. First-principles calculations for understanding the structural, thermodynamic, and elastic properties of materials. Her focus on suboxide Zr3O phases and γ-Al2O3 is fundamental in understanding material behaviors under extreme conditions.
  2. The design and preparation of metal-based materials, particularly using rapid sintering methods, addressing both processing parameters and material properties.
  3. The development of foamed glass-ceramics utilizing high-titanium blast furnace slag, demonstrating her innovative approach to material recycling and sustainability.

Her innovative work in first-principles calculations serves as a foundation for predicting and improving the mechanical performance and thermodynamic behavior of advanced materials.

Impact and Influence 🌍

Dr. Zhou’s work has had a significant impact on material science, particularly in nuclear materials, energy applications, and environmentally friendly materials. Her published research in leading journals such as Acta Materialia, Journal of Nuclear Materials, and Advanced Powder Technology has made notable contributions to the understanding of materials at both micro and macro scales. Her findings are highly cited and continue to shape the direction of materials design and characterization.

Academic Cites 📑

Dr. Zhou’s research has been widely cited across various fields of material science, making her an influential scholar in her area. Her work on the lattice dynamics of Al2O3 phases and the thermodynamic properties of Zircaloy-4 materials has been instrumental in providing insights for nuclear materials science. The diversity and range of her publications reflect the deep scientific rigor and innovative approaches she brings to her field.

Teaching Experience 👨‍🏫

In addition to her research achievements, Dr. Zhou has demonstrated a passion for teaching. As a part-time ideological and political education teacher and an outstanding teaching assistant during her early academic years, she exhibited a dedication to student success. Her work as an associate professor has allowed her to mentor and guide the next generation of material scientists, providing them with both theoretical and practical expertise in material synthesis, advanced characterization, and computational methods. Her efforts in student mentorship have resulted in tangible improvements, including a 100% student employment rate and the reduction in academic warnings.

Awards and Honors 🏆

Dr. Zhou has been recognized for her exceptional contributions through numerous prestigious awards:

  • Outstanding Graduate of Sichuan Province (2020)
  • National Scholarship for Doctoral Students (top 1‱)
  • Academic Star of Sichuan University (top 1‰)
  • China Aerospace Science and Technology Corporation (CASC) Scholarship
  • First-class Scholarship for Doctoral Candidates, SCU (2017-2018)
  • Outstanding Teaching Assistant, SCU (2016)

These accolades reflect her dedication to both academic excellence and research leadership.

Legacy and Future Contributions 🔮

Dr. Zhou’s academic and professional trajectory positions her as a leader in materials processing engineering. Her research on first-principles calculations and rapid sintering techniques is setting the stage for future advancements in metal-based materials and sustainable material solutions. Moving forward, Dr. Zhou plans to further enhance her contributions by exploring interdisciplinary research areas and international collaborations, aiming to tackle challenges in energy storage, nuclear materials, and environmental sustainability. Her legacy is one of innovation, excellence, and a commitment to advancing material science.

Publication Top Notes

The insight effect of texture components on the recrystallization behavior of Mo[sbnd]Re alloy

  • Authors: C. Liu, Congqing; J. Liao, Jingjing; J. Wu, Jun; C. Sun, Chao; B. Luan, Baifeng
    Journal: Materials Characterization, 2025

Study on damage defects of Cr coating on Zr alloy surface irradiated by high-dose Au2+: HRTEM observation and molecular dynamics simulation

  • Authors: A. Yan, An; B. Luan, Baifeng; H. Zhou, Hongling; H. Ruan, Haibo; W. Huang, Weijiu
    Journal: Journal of Alloys and Compounds, 2025

Spatial correlation behavior between hydride and low-energy twin boundaries in Zr-4

  • Authors: H. Sun, Huanzheng; B. Luan, Baifeng; C. Sun, Chao; X. Zhu, Xiaoyong; H. Zhou, Hongling
    Journal: Materials Today Communications, 2024

Microstructural characteristics of multilayers and interfaces of Cr-coated Zircaloy-4 cladding based on elemental diffusion under high-temperature steam oxidation

  • Authors: L. Chen, Lijun; H. Zhou, Hongling; B. Luan, Baifeng; X. Yang, Xiaoling; C. Liu, Congqing
    Journal: Journal of Nuclear Materials, 2024

 

 

Hamid Shahivandi | Computational Methods | Editorial Board Member

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Dr. Hamid Shahivandi | Computational Methods | Editorial Board Member

Shahed University | Iran

Hamid Shahivandi, Ph.D., is a passionate physicist specializing in computational materials science with a focus on perovskite solar cells. Based in Tehran, Iran, he has over a decade of academic experience as a researcher, lecturer, and laboratory supervisor. His innovative research combines precision and creativity, positioning him as a dedicated contributor to the fields of condensed matter physics and semiconductor technology.

Profile

Scopus

Orcid

🎓 Early Academic Pursuits

Dr. Shahivandi embarked on his academic journey with a Bachelor’s in Physics from Lorestan University (2004–2008). He pursued further specialization in Solid-State Physics, completing his Master’s (2008–2011) and Ph.D. (2016–2020) at K. N. Toosi University of Technology, Tehran. His doctoral dissertation focused on the temperature-dependent performance of CH3NH3PbI3 perovskite solar cells, demonstrating his commitment to solving real-world challenges in renewable energy technologies.

💼 Professional Endeavors

Dr. Shahivandi has been an integral part of Shahed University since 2014, serving as both a Laboratory Supervisor and a Lecturer. His teaching portfolio spans foundational and advanced topics, including General Physics, Electricity and Magnetism, and Physical Properties of Materials. As a Teaching Assistant at K. N. Toosi University, he gained early exposure to educational excellence, fostering his skills in mentorship and pedagogy.

🔬 Contributions and Research Focus

Dr. Shahivandi’s research interests are deeply rooted in computational physics, with key contributions in:

  • Perovskite Solar Cells: Developing models to optimize performance and minimize degradation.
  • Carbon Nanotubes: Investigating catalytic growth mechanisms for double-walled carbon nanotubes.
  • Crystals: Studying the growth mechanisms of Calcium Fluoride and Germanium crystals.
    His theoretical and computational methodologies have led to several impactful publications in IEEE Journal of Photovoltaics and Solar Energy Materials & Solar Cells.

🌍 Impact and Influence

Dr. Shahivandi’s work on temperature effects and degradation mechanisms in perovskite solar cells has paved the way for more efficient renewable energy technologies. His insights into semiconductors and nanostructures have influenced peers and inspired collaborative research. His methodological rigor ensures that his findings resonate across academic and industrial communities.

🛠 Research Skills

Dr. Shahivandi excels in:

  • Computational Tools: Expertise in Molecular Dynamics Simulation and Density Functional Theory (DFT).
  • Analytical Techniques: Proficiency with Atomic Force Microscopy (AFM) and Vibrating-Sample Magnetometer (VSM).
  • Model Development: Skilled in mathematization and modeling of complex physical phenomena.
  • Project Management: Adept at leading and organizing multi-faceted research projects.

🏆 Awards and Honors

Dr. Shahivandi has been recognized for his scientific excellence and educational impact. His achievements include poster presentations at national nanoscience congresses and impactful research contributions published in leading journals.

🌟 Legacy and Future Contributions

Dr. Shahivandi’s legacy is marked by his dedication to advancing renewable energy technologies and materials science. Looking ahead, he aims to explore novel nanomaterials for energy applications and foster global collaborations to tackle pressing challenges in sustainable development.

Publication top notes

Temperature dependence of iodine vacancies concentration in CH3NH3PbI3 perovskite: A theoretical analysis

  • Authors: Hamid Shahivandi, Mohamadhosein Nosratjoo
    Journal: Physica B: Condensed Matter
    Year: 2024

Theory of light-induced degradation in perovskite solar cells

  • Authors: Hamid Shahivandi
    Journal: (No journal name provided)
    Year: 2020

Study of the effect of temperature on light-induced degradation in methylammonium lead iodine perovskite solar cells

  • Authors: Hamid Shahivandi, Majid Vaezzadeh, Mohammadreza Saeidi
    Journal: Solar Energy Materials and Solar Cells
    Year: 2020

Iodine Vacancy Formation Energy in CH3NH3PbI3 Perovskite

  • Authors: Hamid Shahivandi, Majid Vaezzadeh, Mohammadreza Saeidi
    Journal: IEEE Journal of Photovoltaics
    Year: 2020

Theoretical Study of Effective Parameters in Catalytic Growth of Carbon Nanotubes

  • Authors: Hamid Shahivandi, Majid Vaezzadeh, Mohammadreza Saeidi
    Journal: physica status solidi (a)
    Year: 2017

 

 

 

Qingguo Lü | Computational Methods | Best Researcher Award

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Assoc. Prof. Dr. Qingguo Lü | Computational Methods | Best Researcher Award

Chongqing University | China

Dr. Qingguo Lü is currently an Associate Professor at the College of Computer Science, Chongqing University, China. With a Ph.D. in Computational Intelligence and Information Processing from Southwest University, his academic journey has been marked by excellence. His work primarily focuses on distributed control and optimization in networked systems, especially in areas involving machine learning, cooperative control, and smart grids.

👨‍🎓Profile

Scopus

🎓 Early Academic Pursuits

Dr. Lü began his academic journey with a Bachelor’s degree in Measurement Control Technology and Instrument from Anhui University of Technology, before advancing to a Master’s degree in Signal and Information Processing at Southwest University. His early academic years were dedicated to mastering core concepts of computational intelligence and information processing, laying the foundation for his later groundbreaking research.

💼 Professional Endeavors

Throughout his career, Dr. Lü has held significant positions, including being a Research Assistant at the Texas A&M University Science Program, Qatar, where he contributed to the research in networked control systems, distributed computing, and smart grids. Following this, he transitioned to his postdoctoral research at Chongqing University, collaborating with Prof. Shaojiang Deng on topics like cooperative control, distributed optimization, and machine learning. His role as an Associate Professor has enabled him to further deepen his research and lead academic projects.

🔬 Contributions and Research Focus

Dr. Lü’s research is deeply embedded in solving real-world problems using distributed optimization algorithms across networked systems. Notable contributions include the development of asynchronous algorithms for decentralized resource allocation, privacy protection algorithms, and the design of algorithms for economic dispatch in smart grids. His research focus is centered on improving distributed optimization through stochastic algorithms, cooperative control, and networked machine learning.

📚 Academic Cites

Dr. Lü’s research has been extensively cited in major journals, indicating the high impact of his work. For example, his paper in IEEE Transactions on Cybernetics (2021) has garnered attention for its privacy-masking stochastic algorithms, highlighting his role in advancing the field of privacy in decentralized systems. His consistent contributions to top-tier journals underscore his prominence as a thought leader in computational intelligence and information processing.

🛠 Research Skills

Dr. Lü possesses advanced skills in developing decentralized algorithms, with expertise in distributed optimization, privacy protection, and machine learning for networked systems. His ability to design efficient algorithms that are not only theoretically sound but also computationally feasible has enabled the practical deployment of these methods in diverse real-world applications, including energy optimization and economic dispatch in smart grids.

🏫 Teaching Experience

As an Associate Professor, Dr. Lü plays an active role in shaping the next generation of researchers and engineers. His teaching focuses on distributed control systems, networked optimization, and machine learning, ensuring that students are well-versed in the latest techniques and applications of computational intelligence. His involvement in academic mentorship and research supervision is highly regarded, helping foster a collaborative and innovative research environment.

🏆 Legacy and Future Contributions

Dr. Lü’s career is already distinguished by his extensive research publications, patents, and contributions to academic growth. His research continues to shape the development of distributed algorithms for complex networks, offering solutions that are highly relevant in today’s rapidly evolving technological landscape. Looking ahead, he aims to expand his work on energy optimization, privacy protection, and networked control systems to tackle emerging challenges in fields like smart cities and autonomous systems.

Publications Top Notes

 

 

Rehmat Bashir | Advanced Computing | Best Researcher Award

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Dr. Rehmat Bashir | Advanced Computing | Best Researcher Award 

Lecturer at University of Engineering and Technology, Lahore, Pakistan

Rehmat Bashir is a dedicated researcher and lecturer in Mechanical Engineering with a focus on fracture mechanics and stress corrosion cracking. Born on July 19, 1991, in Pakistan, he is currently based at Xi’an University of Science and Technology in China. With exceptional communication skills, Rehmat excels at connecting with students and colleagues from diverse backgrounds. He has a passion for exploring nature, which reflects his curiosity and desire for continuous learning. Throughout his academic career, he has been committed to advancing knowledge in his field, contributing to several high-impact publications, and mentoring master’s students in their research endeavors.

Profile:

Education:

Rehmat Bashir completed his Ph.D. in Mechanical Engineering at Xi’an University of Science and Technology from September 2018 to November 2023, focusing on crucial areas such as fracture mechanics and stress corrosion cracking in nuclear power plants. Prior to this, he earned his Master’s degree in Mechanical Engineering from the University of Engineering and Technology, Lahore, Pakistan, from January 2015 to July 2017. His foundational education includes a Bachelor of Science in Mechanical Engineering from the same institution, which he completed in June 2014. This strong academic background equips him with the knowledge and skills necessary for his research and teaching roles.

Professional experience:

With nearly nine years of teaching experience, Rehmat Bashir has been a lecturer at the University of Engineering and Technology, Lahore, since September 2014. His role involves delivering lectures, supervising student research, and managing laboratory activities. Rehmat’s extensive research experience is evident through his numerous publications in reputable journals, where he addresses significant engineering challenges. He actively engages in research projects related to fracture mechanics, contributing to advancements in safety and performance in nuclear engineering. His experience in lab management and student mentorship showcases his commitment to fostering a supportive learning environment while advancing the field of mechanical engineering.

Research focus:

Rehmat Bashir’s research primarily centers on fracture mechanics, particularly the study of stress corrosion cracking and fatigue cracking in nuclear power plants. His innovative work employs advanced methodologies, such as the Extended Finite Element Method (XFEM), to analyze crack propagation and the mechanical behavior of materials under stress. By investigating the interactions between cyclic loading and cracking rates, he aims to enhance the safety and efficiency of nuclear infrastructure. His research has significant implications for material science and engineering, contributing valuable insights into the durability and reliability of critical components in high-stakes environments. Rehmat’s dedication to advancing this field positions him as a valuable asset to both academia and industry.

Publication Top Notes:

  • Title: Interaction of Cyclic Loading (Low-Cyclic Fatigue) with Stress Corrosion Cracking (SCC) Growth Rate
    Authors: Rehmat Bashir, He Xue, Rui Guo, Yueqi Bi, Muhammad Usman
    Year: 2020
    Citations: 24
  • Title: Effect of XFEM Mesh Density (Mesh Size) on Stress Intensity Factors (K), Strain Gradient (d ε / Dr) and Stress Corrosion Cracking (SCC) Growth Rate
    Authors: Rehmat Bashir, He Xue, Jianlong Zhang, Rui Guo, Nasir Hayat, Ganbo Li, Yueqi Bi
    Year: 2020
    Citations: 15
  • Title: Effect of Material Macrostructural Parameters on Quantitative Stress Corrosion Cracking Plastic Zone Using Extended Finite Element Method in Welded Joints for Light Water Reactor Environment
    Authors: Rehmat Bashir, He Xue, Jianlong Zhang, Rui Guo
    Year: 2020
    Citations: 18
  • Title: Effect of Yield Strength Distribution Welded Joint on Crack Propagation Path and Crack Mechanical Tip Field
    Authors: Bi, Yueqi; Xiaoming Yuan; Jishuang Lv; Rehmat Bashir; Shuai Wang; He Xue
    Year: 2021
    Citations: 12
  • Title: Development of a Temperature-Controlled Resistance Micro-Change Experimental Device
    Authors: He Xue, Qishen Wei, Chenqiang Ni, Pengchao Xu, Rehmat Bashir, Liang Zhang
    Year: 2018
    Citations: 8
  • Title: Development of a Temperature-Controlled Resistance Micro-Change Experimental Device
    Authors: He Xue, Qishen Wei, Chenqiang Ni, Pengchao Xu, Rehmat Bashir, Liang Zhang
    Year: 2019
    Citations: 8
  • Title: Experimental Evaluation of Methanol-Gasoline Fuel Blend on Performance, Emissions and Lubricant Oil Deterioration in SI Engine
    Authors: Muhammad Ali Ijaz Malik, Muhammad Usman, Nasir Hayat, Syed Wasim Hassan Zubair, Rehmat Bashir, Ehtasham Ahmed
    Year: n.d.
    Citations: 10
  • Title: Mechanical Properties Evaluation and Crack Propagation Behavior in Dissimilar Metal Welded Joints of 304 L Austenitic Stainless Steel and SA508 Low-Alloy Steel
    Authors: Sun, Yuman; He Xue; Fuqiang Yang; Shuai Wang; Shun Zhang; Jinxuan He; Rehmat Bashir
    Year: 2022
    Citations: 5
  • Title: Cracking Driving Force at the Tip of SCC under Heterogeneous Material Mechanics Model of Safe-End Dissimilar Metal-Welded Joints in PWR
    Authors: Sun, Yuman; He Xue; Kuan Zhao; Yubiao Zhang; Youjun Zhao; Weiming Yan; Rehmat Bashir
    Year: 2022
    Citations: 3
  • Title: Enviro-Economic Assessment of HHO–CNG Mixture Utilization in Spark Ignition Engine for Performance and Environmental Sustainability
    Authors: Usman, Muhammad; Muhammad Ali Ijaz Malik; Rehmat Bashir; Fahid Riaz; Muhammad Juniad Raza; Khubaib Suleman; Abd Ul Rehman; Waqar Muhammad Ashraf; Jaroslaw Krzywanski
    Year: 2022
    Citations: 6

 

Abdelhafeez Elshekhipy | Computational Methods | Best Researcher Award

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Dr. Abdelhafeez Elshekhipy, Computational Methods, Best Researcher Award

PHD at Minia University, Egypt

Assistant Professor Abdelhafeez Ahmed Elshekhipy is an accomplished mathematician specializing in applied mathematics and computational modeling. With a Ph.D. from Minia University, Egypt, his research delves into diverse areas, including nanofluid dynamics, peristaltic transport, and material properties. He has made significant contributions to understanding the impact of temperature-dependent electrical conductivity on radiative and dissipative processes. His work extends to supervising postgraduate theses and teaching undergraduate courses in mathematics. Through a multidisciplinary approach, Elshekhipy’s research reflects a dedication to advancing mathematical understanding and solving complex problems across various scientific domains.

Professional Profiles:

Scopus profile

Orcid Profile

ResearchGate Profile

 

Academic Qualifications:📚

Ph.D. in Mathematics: College of Science, Minia University, Egypt (2013) Thesis Title: “On the stochastic solution process of Navier-Stokes equations using homotopy WHEP technique.” M.Sc. in Mathematics: College of Science, Minia University, Egypt (2009) Thesis Title: “Solutions of partial differential equations related to a rotating disc in a fluid.” B.Sc. in Mathematics: College of Science, Minia University, Egypt (2003)

Professional Experience:🏆

Assistant Professor: Math department, College of Science, Imam Abdulrahman Bin Faisal University, Saudi Arabia (2017-Present) Assistant Professor: Math department, College of Science, Minia University, Egypt (2013-2017) Lecturer: Math department, College of Science, Minia University, Egypt (2009-2013) Demonstrator: Math department, College of Science, Minia University, Egypt (2004-2009)

Scientific Achievements:

Published numerous refereed research articles in reputable journals, showcasing expertise in mathematical modeling, stochastic analysis, and numerical simulations.

Supervision of Postgraduate Theses:

Supervised multiple M.Sc. and Ph.D. theses on topics ranging from numerical simulations for probabilistic transformations to soliton solutions of partial differential equations.

Research Focus:

Assistant Professor Abdelhafeez Ahmed Elshekhipy’s research primarily focuses on mathematical modeling and simulation across diverse fields. His contributions span topics such as peristaltic transport of nanofluids, radiative and dissipative flows, and the impact of various factors on structural, optical, thermal, and electrical properties of materials. He has explored intricate subjects like the Hall current effect on nanofluid peristaltic flow and the combined effects of variable thermal and electrical conductivity. Additionally, his work extends to numerical simulations of fluid dynamics, showcasing a multidisciplinary approach. Overall, his research demonstrates a keen interest in applied mathematics, computational modeling, and their applications in various scientific domains.

Publications (TOP NOTES)

 

 

 

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