Abdulaziz Almaktoom | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Abdulaziz Almaktoom | Engineering | Best Researcher Award

Effat University | Saudi Arabia

Assoc. Prof. Dr. Abdulaziz Almaktoom, is a distinguished scholar and leader in Operations and Supply Chain Management, serving as Associate Professor and Chair of the Business Administration Department. With 39 publications, 275 citations, and an h-index of 10, he is recognized among the top 20 scientists in Decision Science and Operations Management in Saudi Arabia. His expertise spans operations management, project management, data analytics, industrial ergonomics, lean and six sigma, quality assurance, risk management, and applied statistics. He has pioneered innovative curriculum development, establishing specialized programs and securing full accreditation from NCAAA and AACSB. Renowned for mentoring students, leading cross-functional teams, and driving industry collaborations, he combines research excellence with impactful teaching. His strategic vision has enhanced academic standards, tripled student enrollment, and supported students’ success, while his consultancy and professional certifications underscore his commitment to advancing operational efficiency, research innovation, and applied solutions across industry and academia.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Merabet, A., Saighi, A., Saad, H., Ferradji, M. A., Laboudi, Z., & Almaktoom, A. T. (2025). AI for colon cancer: A focus on classification, detection, and predictive modeling. International Journal of Medical Informatics, 106115.

Almaktoom, A. T., & Yusuf, N. (2025). Optimizing forecasting techniques for cost-effective procurement of controlled medications in Saudi Arabia’s healthcare system. International Journal of Pharmaceutical and Healthcare Marketing.

Almaktoom, A. T. (2025). Resilience modeling of mobile service for quality assurance. Operations Management Research, 18(1), 182–194.

Sasikumar, A., Ravi, L., Devarajan, M., Selvalakshmi, A., & Almaktoom, A. T. (2024). Corrections to “Blockchain-Assisted Hierarchical Attribute-Based Encryption Scheme for Secure Information Sharing in Industrial Internet of Things.” IEEE Access, 12, 163197–163197.

Bezoui, M., Kermali, A., Bounceur, A., Qaisar, S. M., & Almaktoom, A. T. (2024). Deep reinforcement learning for multiobjective scheduling in Industry 5.0 reconfigurable manufacturing systems. In Machine Learning for Networking: 6th International Conference, MLN 2023

Xiaolong Lu | Engineering | Best Researcher Award

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Dr. Xiaolong Lu | Engineering | Best Researcher Award

Dr. Xiaolong Lu, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, China

Dr. Xiaolong Lu (b. Jan 21, 1994) is a materials scientist at the State Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, CAS. He holds a Master’s in Chemical Engineering from Tianjin University and a Bachelor’s in Process Equipment from Qilu University of Technology. His expertise spans CVD, PVD, BET, and advanced tribological testing 🧪. Dr. Lu has published multiple papers on high-entropy coatings, nanostructured materials, and wear-resistant films in top-tier journals 📚. His research contributes significantly to aerospace and industrial lubrication technologies

Publication Profile

Scopus

🎓 Educational Background

Dr. Xiaolong Lu began his academic journey in Process Equipment and Control Engineering at Qilu University of Technology, where he earned his Bachelor’s degree (2012–2016) 🏫. He then advanced his expertise by pursuing a Master’s degree in Chemical Engineering at the prestigious Tianjin University from 2016 to 2019 🧪. Throughout his academic training, Dr. Lu developed a strong foundation in mechanical design, materials science, and engineering principles, which laid the groundwork for his future contributions to advanced materials and tribology research 🔬📘. His education has played a vital role in shaping his innovative research career.

💼 Work Experience

Dr. Xiaolong Lu began his professional career at Sinohydro Foundation Engineering Co., Ltd from July to December 2019, gaining valuable industry experience in engineering projects 🏗️. In January 2020, he joined the prestigious State Key Laboratory of Solid Lubrication at the Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences 🏛️. There, he has been deeply involved in cutting-edge research on advanced tribological materials and surface coatings 🔬. His work focuses on developing innovative solutions for wear resistance and lubrication, contributing significantly to the field of materials science and engineering.

🔍 Research Focus

Dr. Xiaolong Lu’s research centers on advanced tribological materials and high-entropy coatings for wear resistance and lubrication applications ⚙️🛡️. His work extensively explores high-entropy nitrides and carbonitrides, investigating their mechanical, structural, and tribological properties under varying conditions 🧪🔬. Using cutting-edge techniques like high power impulse magnetron sputtering and high-throughput preparation methods, Dr. Lu aims to enhance coatings for demanding environments such as aviation lubricants ✈️. His research contributes to developing innovative materials that improve durability and reduce friction in mechanical systems, supporting industrial and aerospace engineering advancements

Conclusion

Dr. Xiaolong Lu’s focused research on high-entropy coatings, tribological optimization, and advanced deposition techniques marks him as a valuable contributor to applied surface engineering. His combination of practical expertise, high-impact publications, and innovative methodology makes him a strong and deserving candidate for the Best Researcher Award.

Publication Top Notes

  • Exploring atmospheric tribological properties of MoS2-(Cr, Nb, Ti, Al, V) composite coatings, Tribology International, 2021, cited by [–] 📅⚙️

  • Investigation of (CrAlTiNbV)Nx high-entropy nitride coatings for aviation lubricant, Applied Surface Science, 2021, cited by [–] 🧪✈️

  • Mechanical and tribological performance of (CrAlTiNbV)Nx nitride coatings in aviation lubricant, Ceramics International, 2021, cited by [–] 🏭🔧

  • Nanostructure, mechanical properties and tribological behavior of high-entropy carbonitrides coatings, Ceramics International, 2025, cited by [–] 🔬⚡

  • Effect of peak current on MoxN coatings microstructure and tribological behavior, Tribology International, 2023, cited by [–] ⚡🛠️

  • Characterization and wear role of (CrAlVTiNb)Nx high-entropy alloy nitride films, Journal of Alloys and Compounds, 2025, cited by [–] 🧱🔍

  • Comparative analysis of high-entropy nitrides and carbonitrides coatings over temperature range, Journal of Alloys and Compounds, 2025, cited by [–] 🌡️📊

Muhammad Haider Saleem | Material Science | Excellence in Innovation

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Mr. Muhammad Haider Saleem | Material Science | Excellence in Innovation

Ghani Glass Limited, Pakistan

Muhammad Haider Saleem is a Pakistani chemist and researcher with expertise in the synthesis, characterization, and computational modeling of nanomaterials. Born and raised in Sheikhupura, Pakistan, he has focused his academic and professional career on materials science, particularly the innovative applications of f-block and d-block elements. His work spans diverse fields including optoelectronics, biomedical applications, and energy storage solutions. Saleem holds a Master of Philosophy in Chemistry from Government College University, Lahore, and has gained substantial experience as a Senior Chemist in Research & Development at Ghani Glass Limited. His research has been published in several peer-reviewed journals, highlighting his contributions to enhancing material properties for industrial and technological applications. With hands-on experience in leading-edge laboratory techniques and a passion for innovation, Saleem continues to contribute to advancements in materials science and nanotechnology.

Publication profile

Google Scholar

Educational Background

Muhammad Haider Saleem completed his Master of Philosophy (MPhil) in Chemistry from Government College University, Lahore, in 2022. His thesis, titled “Decolorization of Green Tint of High Iron Soda Lime Glass using Rare Earth Metal Nanoparticles,” explored innovative ways to modify glass for improved optical and physical properties. He earned a Bachelor’s degree in Chemistry from the University of the Punjab, Lahore, in 2017, which provided him with a strong foundation in natural sciences and materials science. In addition to his core education, Saleem has broadened his skill set through certifications such as a Diploma in Data Science from Al-Khawarizmi Institute of Computer Science (UET Lahore) and certification in SEO from Digiskills. His academic journey has been marked by his focus on nanomaterials and their applications in real-world industrial contexts, including optoelectronics, energy storage, and biomedical technologies.

Work Experience

Muhammad Haider Saleem has significant professional experience as a Senior Chemist in the Research & Development (R&D) department at Ghani Glass Limited, where he has worked since 2017. His role involves the analysis and improvement of glass materials, particularly focusing on the development of new float glass colors and optoelectronic applications using lanthanides. He has a deep understanding of advanced laboratory instruments such as ED-XRF, SEM, and XRD, and has contributed to maintaining the company’s ISO-9001 and EMS-14001 standards. Prior to this, Saleem worked as QC Shift Incharge at Rupali Polyester Limited, where he was responsible for maintaining polymer quality through raw material analysis and polymer stoichiometry. His industrial experience complements his academic knowledge, allowing him to apply research insights directly to manufacturing and quality control processes. His work in both roles has centered on advancing innovative materials for practical and commercial use.

Research Focus

Muhammad Haider Saleem’s research focuses on the synthesis, characterization, and computational modeling of nanomaterials, particularly those based on f-block and d-block elements. His work aims to enhance the optical, electronic, and physical properties of materials for applications in optoelectronics, energy storage, and biomedical technologies. Saleem is especially interested in modified glasses for optoelectronics and biomedical uses, multifunctional ceramics, and the development of nanomaterials for optical fiber and laser applications. His research also extends to bio-imaging and nano-thermometry, where stable upconversion nanoparticles (UCNPs) are used for advanced imaging techniques. Another significant aspect of his work involves the development of supercapacitors with enhanced charge storage capacities through the modification of electrode materials. Additionally, Saleem has been researching ways to improve the efficiency of perovskite solar cells, contributing to the ongoing global effort to enhance sustainable energy solutions.

Skills:

Muhammad Haider Saleem possesses a diverse set of technical skills that span advanced laboratory techniques, computational modeling, and data analysis. He is proficient in the operation of key scientific instruments such as ED-XRF (CG-NEX I, Rigaku), XRD (ARL EQUINOX 5000), and SEM (FEI INSPECT S50), which are essential for material characterization and analysis. His expertise extends to spectroscopic techniques, including UV/Vis spectroscopy, fluorescence spectroscopy, and FTIR, used in assessing optical and chemical properties. Saleem is also skilled in electrochemical techniques, utilizing potentiostats for charge storage and corrosion testing.

Conclusion

Given his advanced research, relevant work experience, peer-reviewed publications, and proficiency with high-level scientific tools, Muhammad Haider Saleem seems well-suited for a recognition or award in “Excellence in Innovation.” His work in developing innovative nanomaterials for optoelectronics, biomedical applications, and energy storage reflects significant contributions to his field.

Publication Top Notes

Title: An innovative approach towards Decolorization of tint and Enhancing the Optical & Physical Properties of High iron Na₂O-CaO-SiO₂ glass by co-doping with Ce⁴⁺/Nd³⁺
Authors: MH Saleem, S Ali, S Ali
Journal: Optical Materials
Citation: 116160
Year: 2024

Title: An Innovative Approach of Decolorization of Tint and Enhancing the Optical & Physical Properties of High Iron Na₂O-CaO-SiO₂ Glass by Doping with Ce⁴⁺/Nd³⁺: An Experimental and …
Authors: MH Saleem, S Ali, S Ali
Citation: Available at SSRN 4379211
Year: 2024

Title: Optical & Physical Properties of High Iron Na₂O-CaO-SiO₂ Glasses on Decolorization of Tint by Doping with Rare Earth Metals (CeO₂/Nd₂O₃): An Experimental and Comparative Study
Authors: MH Saleem, S Ali, S Ali
Citation: Available at SSRN 4347488
Year: 2024

 

Mohamad Zarei Binabaj | Engineering | Best Researcher Award

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Dr. Mohamad Zarei Binabaj | Engineering | Best Researcher Award

Researcher at Shahid Beheshti University, Iran

Dr. Mohamad Zarei Binabaj, born in 1983 in Mashad, Iran, is an accomplished researcher in nuclear engineering with a Ph.D. from Shahid Beheshti University in Tehran. His research focuses on advanced nuclear reactor modeling and control, particularly under challenging conditions such as xenon oscillations. He has a strong publication record with over 24 peer-reviewed articles in leading journals and serves as a topic editor for Frontiers in Energy Research: Nuclear Energy. Known for his expertise in multi-physics kinetics modeling, detector physics, and nonlinear control systems, he is proficient in MATLAB, Simulink, and nuclear engineering software. Fluent in English and French, Dr. Zarei actively contributes to the academic community as a reviewer for several respected journals and has experience teaching and supervising students. His contributions make him a well-regarded figure in the field of nuclear reactor engineering.

Publication profile

Google Scholar

Educational Background

Mohamad Zarei Binabaj holds an impressive educational background in engineering, with a Ph.D. in Nuclear Reactor Engineering from Shahid Beheshti University in Tehran, Iran, obtained in 2017. His doctoral research focused on the robust nonlinear control of nuclear reactor load following operations amidst Xenon oscillations. Prior to his Ph.D., he completed a Master’s degree in Nuclear Reactor Engineering at the same institution in 2012, where he explored the inherent safety features of next-generation IV lead-cooled fast reactors. His academic journey began with a Bachelor’s degree in Electrical Engineering from Tehran University in 2006, laying a solid foundation for his expertise in nuclear engineering and control systems.

Teaching and Research Experience

Mohamad Zarei Binabaj has a solid foundation in both teaching and research within the field of nuclear engineering. As a consulting instructor at Shahid Beheshti University, he guides students in their thesis projects, focusing on nuclear reactor dynamics and analysis. He has also served as a teaching assistant for various courses, including reactor physics, numerical methods, and linear control systems, showcasing his ability to communicate complex concepts effectively. In terms of research, Zarei has an extensive publication record with over 24 articles in esteemed journals, covering topics such as nonlinear control, reactor dynamics, and safety features in advanced reactors. His active participation in reviewing manuscripts for leading journals further highlights his commitment to advancing the field and contributing to the academic community. Overall, his teaching and research experiences underscore his expertise and dedication to nuclear engineering education and innovation.

Publication Top Notes

  • A physically based PID controller for the power maneuvering of nuclear reactors
    • Authors: M. Zarei
    • Year: 2020
    • Citations: 22
  • A multi-point kinetics based MIMO-PI control of power in PWR reactors
    • Authors: M. Zarei
    • Year: 2018
    • Citations: 22
  • Robust PID control of power in lead cooled fast reactors: A direct synthesis framework
    • Authors: M. Zarei, R. Ghaderi, N. Kojuri, A. Minuchehr
    • Year: 2017
    • Citations: 19
  • Space independent xenon oscillations control in VVER reactor: A bifurcation analysis approach
    • Authors: M. Zarei, R. Ghaderi, A. Minuchehr
    • Year: 2016
    • Citations: 12
  • Nonlinear dynamics and control in molten salt reactors
    • Authors: M. Zarei
    • Year: 2018
    • Citations: 10

Conclusion

Dr. Zarei’s qualifications in nuclear engineering, demonstrated expertise, and active engagement in academia make him a strong candidate for the Best Researcher Award. With his current trajectory and potential expansions in research breadth, he embodies excellence in his field.

Mohammadali Hadianfard | Engineering | Best Researcher Award

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Prof Dr Mohammadali Hadianfard |  Engineering |  Best Researcher Award

Professor at  Shiraz University of Technology, Iran

Mohammad Ali Hadianfard is a Professor of Structural and Earthquake Engineering at Shiraz University of Technology, Iran. He holds a Ph.D., M.Sc., and B.Sc. in Civil Engineering from Shiraz University. His research focuses on Earthquake Engineering, seismic design of structures, structural reliability, steel connections, structural health monitoring, and concrete technology with nondestructive testing. Hadianfard has extensive teaching experience and has supervised numerous M.Sc. and Ph.D. dissertations. He has also held significant leadership roles within academic and professional organizations in Iran

Profile

Education:

  • Ph.D. in Civil Engineering (Structure), Shiraz University, Iran, 2002
  • M.Sc. in Civil Engineering (Structure), Shiraz University, Iran, 1996
  • B.Sc. in Civil Engineering, Shiraz University, Iran, 1992

Teaching Experience:

  • Teaching Civil Engineering Students (B.Sc.), Azad University of Estahban, Estahban, Iran (1994-2004)
  • Teaching Civil Engineering Students (B.Sc.), Yasouj University, Yasouj, Iran (2003-2007)
  • Graduate Teaching for Civil Engineering Students (M.Sc. and Ph.D.), Shiraz University of Technology, Iran (2007-present)

Relevant Experiences and Activities:

  • Director, Department of Civil and Environmental Engineering, Shiraz University of Technology (2008-2012, 2018-2021)
  • Manager, Building Construction Office, Shiraz University of Technology (2010-2014)
  • Member, Board of Directors, Iranian Construction Engineering Organization, Province of Fars (multiple periods)
  • Member, Management Committee, Civil Engineering Specialty Group, Iranian Construction Engineering Organization, Province of Fars (multiple periods)
  • Awarded Top Researcher titles in 2006, 2011, 2013, 2016, and 2017

Research Focus Engineering :

Professor Mohammad Ali Hadianfard, a distinguished figure in the field of Structural and Earthquake Engineering at Shiraz University of Technology, Iran, specializes in a broad spectrum of research areas. His work primarily revolves around Earthquake Engineering, encompassing seismic design, vulnerability assessment, and rehabilitation strategies for structures and historical buildings. He is renowned for his contributions to structural reliability, failure analysis, and the study of progressive collapse mechanisms. Dr. Hadianfard also explores advanced topics such as steel and semi-rigid connections, employing computer simulations and conducting nonlinear dynamic analyses to enhance structural performance. His expertise extends to structural health monitoring, utilizing ambient vibration and microtremor measurements, alongside innovative approaches in concrete technology and nondestructive testing. Through extensive teaching and supervisory roles, he continues to shape the future of civil engineering education and research.

Citations:

  • Citations: 593
  • Documents: 481
  • h-index: 13

Publications 📄

  • A Novel Probabilistic Structural Damage Detection Approach Considering Uncertainty Sources
    • Authors: Jahangiri, M., Hadianfard, M.A., Najafgholipour, M.A., Hatami, S.
    • Journal: Iranian Journal of Science and Technology – Transactions of Civil Engineering, 2023, 47(5), pp. 2605–2623
    • Citations: 2
  • Spectral optimization-based modal identification: A novel operational modal analysis technique
    • Authors: Kamali, S., Ali Hadianfard, M.
    • Journal: Mechanical Systems and Signal Processing, 2023, 198, 110445
    • Citations: 4
  • A procedure to estimate the Minimum Observable Damage in truss structures using vibration-based Structural Health Monitoring systems
    • Authors: Jahangiri, M., Palermo, A., Kamali, S., Hadianfard, M.A., Marzani, A.
    • Journal: Probabilistic Engineering Mechanics, 2023, 73, 103451
    • Citations: 6
  • Probabilistic Evaluation of Steel Column Damage under Blast Loading via Simulation Reliability Methods and Gene Expression Programming
    • Authors: Momeni, M., Bedon, C., Hadianfard, M.A.
    • Journal: Engineering Proceedings, 2023, 53(1), 20
    • Citations: 0
  • Vibration-Based Structural Damage Detection Using the Interactive Autodidactic School Optimization Algorithm Based on an Energy-Dissipation Method
    • Authors: Jahangiri, M., Hadianfard, M.A., Najafgholipour, M.A., Jahangiri, M.
    • Journal: International Journal of Structural Stability and Dynamics, 2022, 22(16), 2250192
    • Citations: 12
  • The effects of non-structural components on the dynamic characteristics and vulnerability of concrete structures using ambient vibration tests and Nakamura’s criterion
    • Authors: Hadianfard, M.A., Jahangiri, M., Shojaei, S.
    • Journal: Soil Dynamics and Earthquake Engineering, 2022, 162, 107492
    • Citations: 4

 

 

Tongtong Wan | Engineering Award | Best Researcher Award

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Tongtong Wan | Engineering Award | Best Researcher Award

Tongtong Wan, East China Jiaotong University, China

Dr. Tongtong Wan is an accomplished scholar in civil engineering. She earned her Ph.D. from Chang’an University (2017-2023) and her Bachelor’s from Nanchang Hangkong University (2013-2017). She gained international experience as a visiting student at Nottingham University (2020-2021) 🌍 and is currently a lecturer at East China Jiaotong University (2023-present) 👩‍🏫. Her research on inverted pavement and pavement detection has been widely recognized, with publications in top journals like “Computer-Aided Civil and Infrastructure Engineering” 🏅. Dr. Wan has presented at major conferences and participated in several key research projects, earning accolades such as the best wall poster award and a national scholarship 🌟.

 

Publication Profile

Scopus

Education 🎓

Dr. Tongtong Wan earned her Ph.D. in civil engineering from Chang’an University (2017-2023) and her Bachelor’s degree from Nanchang Hangkong University (2013-2017).

Experience 🌍

She expanded her academic horizons as a visiting student at Nottingham University (2020-2021) and currently serves as a lecturer at East China Jiaotong University (2023-present).

Academic Achievements 🏅

Dr. Wan’s research centers on inverted pavement, unbound aggregates, slushing processes, and pavement detection. She has published around 10 papers in international and Chinese journals, including an article in the prestigious “Computer-Aided Civil and Infrastructure Engineering.” She has presented at notable conferences like WTC and SATC, winning the best wall poster award. Additionally, she was awarded a national scholarship for her studies at Nottingham University. Her contributions extend to projects under the National Natural Science Foundation, the Ministry of Transport, and the Hebei Provincial Department of Transportation, garnering recognition from experts in her field.

Research Focus

Dr. Tongtong Wan’s research focuses on several key areas in civil engineering, particularly in pavement engineering. Her work includes studying inverted asphalt pavement structures, optimizing evaluation indicators for asphalt pavement surface segregation, and examining the thermal contraction behavior between unbound aggregate layers and asphalt mixtures 🌟. She employs advanced methods such as the finite difference and discrete element coupling method and response surface method in her research 🛠️. Additionally, Dr. Wan investigates the use of smartphone image processing techniques for assessing pavement conditions 📱. Her contributions are published in reputable journals like “Computer-Aided Civil and Infrastructure Engineering” and “Construction and Building Materials” 📚.

 

Publication Top Notes

A method determining critical operating parameters for landing aircraft based on runway pavement skid resistance