Md Ataur Rahman | Mechanical Enginnering | Excellence in Research Award

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Professor. Md Ataur Rahman | Mechanical Enginnering | Excellence in Research Award

Professor | Eastern Michigan University | United States

Professor Md Ataur Rahman is a faculty member in the GameAbove College of Engineering and Technology at Eastern Michigan University, where his research centers on automotive engineering, electric mobility, and intelligent mechanical systems. His academic foundation includes a PhD in Automotive Engineering from Universiti Putra Malaysia, an Executive MBA in Techno-Entrepreneurship jointly awarded by Cranfield University and Universiti Teknologi Malaysia, and a Bachelor of Science in Mechanical Engineering from Chittagong University of Engineering and Technology. His research portfolio integrates advanced electric vehicle technologies, intelligent control systems, adaptive machine-learning models, and sustainable transportation solutions. He has contributed to the development of novel electric propulsion systems, energy-efficient drivetrains, smart supercapacitors, and intelligent gearboxes, supported by multidisciplinary collaborations and strong publication output. His work in prototype development and technology commercialization bridges academia and industry, informed by his experience in electric vehicle design, electrification consultancy, and automated tractor system innovation. He also provides leadership in research mentoring, grant proposal development, and engineering program enhancement, fostering impactful research culture and interdisciplinary innovation. A Chartered Engineer and active member of ASME and SAE, he is recognized for his contributions to advancing electric mobility research, intelligent mechanical design, and future-focused engineering technologies.

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Featured Publications

Autonomous Electromagnetic Two-Speed Gearbox for Electric Vehicle
– International Journal of Automotive Technology

AI Control-Activated Carbon-ZnO/CuO Conductive Polymer Structural Supercapacitor for EV
– International Journal of Ambient Energy

Fuel Cell Hybrid Electric Air-Cushion Tracked Vehicle for Peat Swamp
– International Journal of Heavy Vehicle Systems

Characterization and Application of Nano-Composite Zinc Oxide/Poly Vinyl Alcohol Thin-Film in Solar Cell Performance Enhancement
– Journal of Mechanical Science and Technology

Solar Energy Dependent Supercapacitor System with ANFIS Controller for Auxiliary Load of Electric Vehicles
– Energies

Chang Soo Kim | Engineering | Best Researcher Award

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Prof. Chang Soo Kim | Engineering | Best Researcher Award

Professor | Pukyong National University | South Korea

Professor. Chang Soo Kim is a distinguished Full Professor in the Division of Computer and AI Engineering at PuKyong National University, recognized for his expertise in intelligent manufacturing systems, artificial intelligence, and computational optimization. He holds advanced degrees in computer science with specialization in AI-driven optimization and machine learning, forming the foundation for his multidisciplinary research career. Throughout his long-standing academic tenure, he has served in key leadership roles including department chair, graduate program administrator, research center director, and executive leader for university–industry cooperation, successfully guiding large-scale projects, fostering collaborative innovation, and advancing strategic academic initiatives. His research focuses on flexible job shop scheduling, deep learning–based fault diagnosis, time-series forecasting, metaheuristic optimization, and smart industrial systems. He has produced an extensive portfolio of influential publications in high-impact SCI-indexed journals, contributing novel hybrid algorithms, trainable fusion strategies, adaptive scheduling frameworks, lightweight diagnostic models, and intelligent computational methods that support the evolution of smart manufacturing and data-driven engineering. His scholarly achievements have earned him multiple recognitions, including awards for research excellence, and he actively contributes to the global academic community through editorial service, participation in professional societies, and engagement in scientific committees. With a sustained record of innovative research, academic leadership, and impactful contributions to computer and AI engineering, Professor Chang Soo Kim exemplifies the qualities of a leading researcher whose work continues to influence both industry and academia.

Profiles:  Scopus

Featured Publications

1. Kim, C. S., et al. (2025). Flexible job shop scheduling optimization with multiple criteria using a hybrid metaheuristic framework. Processes.

2. Kim, C. S., et al. (2025). Multi-branch global Transformer-assisted network for fault diagnosis. Applied Soft Computing.

3. Kim, C. S., et al. (2025). DL-MSCNN: A general and lightweight framework for fault diagnosis with limited training samples. Journal of Intelligent Manufacturing.

4. Kim, C. S., et al. (2025). Enhanced quantum-based DNA sequence alignment with noise handling and error detection. IEEE Access.

5. Kim, C. S., et al. (2024). GAILS: An effective multi-object job shop scheduler based on genetic algorithm and iterative local search. Scientific Reports.

Professor Chang Soo Kim’s pioneering research in intelligent manufacturing, AI-driven optimization, and fault diagnosis advances the scientific foundations of smart industry while enabling more efficient, reliable, and data-driven production systems. His innovative computational frameworks and adaptive algorithms contribute directly to industrial digital transformation, fostering technological competitiveness and sustainable global innovation.

Weitao Yue | Engineering | Research Excellence Award

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Dr. Weitao Yue | Engineering | Research Excellence Award

China University of Mining and Technology | China

Dr. Weitao Yue is a Ph.D. candidate in Safety Science and Engineering at the China University of Mining and Technology, recognized for his specialization in coal and rock dynamic disaster prevention and control. With an academic foundation centered on advanced safety engineering and a research focus on hazardous dynamic phenomena in mining environments, he has developed strong expertise in the investigation of disaster mechanisms, monitoring technologies, early-warning strategies, and innovative control methods. His professional experience includes substantial involvement in major national scientific projects, where he has taken on core research roles involving theoretical modeling, experimental system development, large-scale data analysis, and interdisciplinary coordination. Through these efforts, he has demonstrated leadership, technical depth, and the ability to drive complex research tasks toward impactful outcomes. Dr. Yue has published multiple high-quality SCI papers as first or corresponding author in internationally renowned journals, with several works recognized among the most globally cited in the field, reflecting his rising academic influence and contribution to advancing coal mine safety science. His research achievements have earned significant academic recognition, further supported by his participation in professional research communities and contributions to collaborative scientific endeavors. Known for integrating theoretical insight with practical application, he consistently delivers research that supports safer mining operations and enhances scientific understanding of dynamic disasters. His growing portfolio of accomplishments, strong methodological capabilities, and commitment to scientific innovation position him as a promising researcher with substantial potential for future leadership and continued contribution to the safety engineering discipline.

Profiles:  Scopus

Featured Publications

1. [Authors not provided]. (2026). Failure mechanisms of fault fracture zone under dynamic loading. Engineering Failure Analysis.

Yalong Tai | Flexible Sensor | Research Excellence Award

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Dr. Yalong Tai | Flexible Sensor | Research Excellence Award

Professor | Shenzhen Institute of Advanced Technology | China

Prof. Yanlong Tai is a researcher at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, specializing in flexible interface electronics, reliability analysis, health monitoring and imaging interaction technologies. He holds doctoral training from institutions in China and Germany with a focus on advanced engineering and micro-nanotechnology, and serves as a principal investigator and leader of multiple joint laboratories involving academic and industrial partners. His professional experience includes dual appointments, committee memberships in national and regional professional societies, and editorial roles for international journals. He has conducted long-term collaborative research with internationally recognized experts across the United States, Europe and the Middle East, contributing extensively to interdisciplinary advancements. His work has resulted in numerous peer-reviewed publications in high-impact journals, international patents, and research outputs covered by global scientific media. He has led and participated in major research programs supported by national and international funding bodies across multiple regions, contributing to projects in fundamental research, technological innovation and translational applications. His contributions have been recognized through scientific awards from national organizations and professional societies, reflecting his influence in advancing micro-electromechanical systems, biomedical engineering and flexible electronic technologies.

Profiles: Google Scholar

Featured Publications

1. Chonghaile, T. N., Sarosiek, K. A., Vo, T. T., Ryan, J. A., Tammareddi, A., et al. (2011). Pretreatment mitochondrial priming correlates with clinical response to cytotoxic chemotherapy. Science, 334(6059), 1129–1133.

2. Tai, Y., Mulle, M., Ventura, I. A., & Lubineau, G. (2015). A highly sensitive, low-cost, wearable pressure sensor based on conductive hydrogel spheres. Nanoscale, 7(35), 14766–14773.

3. Tai, Y., Qian, J., Zhang, Y., & Huang, J. (2008). Study of surface modification of nano-SiO₂ with macromolecular coupling agent (LMPB-g-MAH). Chemical Engineering Journal, 141(1–3), 354–361.

4. Tai, Y. L., & Yang, Z. G. (2011). Fabrication of paper-based conductive patterns for flexible electronics by direct-writing. Journal of Materials Chemistry, 21(16), 5938–5943.

5. Chang, Y., Wang, D. Y., Tai, Y. L., & Yang, Z. G. (2012). Preparation, characterization and reaction mechanism of a novel silver-organic conductive ink. Journal of Materials Chemistry, 22(48), 25296–25301.

Prof. The nominee’s work advances flexible interface electronics and intelligent sensing technologies that enhance reliability, safety and precision in health monitoring and next-generation diagnostic systems. By integrating materials innovation with scalable engineering approaches, the research contributes to scientific progress, supports emerging industrial applications and drives global technological innovation with meaningful societal impact.

Muhammad Hussain Ghazali | Food Science and Engineering | Young Researcher Award

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Mr. Muhammad Hussain Ghazali | Food Science and Engineering | Young Researcher Award

South China University of Technology | China

Mr. Muhammad Hussain Ghazali is a doctoral researcher in Food Science and Engineering, recognized for pioneering contributions in meat science, nonthermal preservation technologies, and biobased packaging, with a particular distinction for advancing camel meat research in Pakistan. He holds a Doctor of Veterinary Medicine, an M.Phil. in Meat Science and Technology, and is pursuing a Ph.D. with a specialization in cold plasma–integrated bio-based packaging systems for meat quality and safety monitoring. His professional experience spans research, editorial service, mentoring, and scientific reviewing, including active peer-review contributions for leading international journals and verified reviewer status through global academic platforms. His research focuses on meat quality evaluation, cold plasma applications, sustainable packaging, analytical characterization techniques, and emerging omics-based food quality assessment, supported by competence in advanced data analysis tools. He has contributed to the scientific community through publications, collaborative projects, and active engagement in international research networks across multiple regions. His recognitions include editorial and reviewer certifications, distinctions for peer-review excellence, and involvement with reputable scientific bodies. Demonstrating strong analytical capacity, leadership potential, and a global research outlook, he continues to build a growing academic profile that reflects innovation, scientific rigor, and commitment to advancing food safety and engineering research.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

1. Ghazali, M. H., Bakhsh, M., Zainab, U., Faraz, A., Munir, M. U., Channo, A., … (2023). Camel meat production, consumption and nutritive value: Present status and future prospects. International Journal of Camel Science, 5, 123–136.

2. Bakhsh, M., Ghazali, M. H., Yar, M. K., Channo, A., Kashif, M., Ijaz, M., … (2023). The role of fish in global food and nutrition security: Current aspects and future prospects. University of Sindh Journal of Animal Sciences, 7(4), 23–35.

3. Ghazali, M. H., Keener, K. M., Pan, Y., Zou, S., … (2025). Cold plasma-integrated bio-based packaging for meat quality and safety monitoring: A mini review. Food Wellness, 1(1), 100004.

4. Muhammad Hussain Ghazali, L. B., & Saleem, F. (2025). Cold plasma and high-pressure processing in sustainable meat preservation: A review. Food, Nutrition, and Health, 2(22), 1–14.

5. Shah, S. H. R., Qamar, M. H., Ghazali, M. H., Ali, S., Bilal, M., Fawad, A., Khalil, H. U. R., … (2024). New insights in uterine involution and ovarian resumption in domestic animals. Acta Scientific Veterinary Sciences, 6(6).

Mr. Muhammad Hussain Ghazali’s research advances innovative, sustainable approaches to meat safety and quality, contributing to global food security through nonthermal preservation and biobased packaging technologies. His work supports industry transformation by promoting safer, eco-friendly processing solutions and expanding scientific understanding of underexplored meat resources.

Hiyam Farhat | Digital twins | Best Researcher Award

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Dr. Hiyam Farhat | Digital twins | Best Researcher Award

Lecturer | Tennessee Tech University | United States

Dr. Hiyam Farhat, a Lecturer and Assistant Director at the DOE Industrial Assessment Center in the Department of Mechanical and Nuclear Engineering at Tennessee Technological University, is a materials and mechanical engineering specialist whose work integrates advanced materials, manufacturing technologies, turbomachinery performance, and energy-efficiency research. She holds a PhD in Mechanical and Industrial Engineering, an MS in Mechanical and Materials Engineering, and a BS in Mechanical Engineering, underpinning a career that spans academic, research, and leadership roles across major engineering organizations. Her professional experience includes directing industrial assessment initiatives, managing engineering programs in the turbomachinery sector, contributing to quality and inspection systems, and teaching a broad range of engineering courses with demonstrated excellence. Her research focuses on AI-driven modeling, digital-twin development, materials degradation prediction, and clean-energy technologies, resulting in influential publications in areas such as hybrid digital-twin frameworks, gas turbine performance, flexible operation lifing criteria, and energy-storage applications. She has delivered invited presentations and contributed chapters to leading technical references, with her work supported by collaborations with national and international partners. Her recognitions include awards for technical presentations, and she maintains active engagement through memberships in professional societies such as ASME, KEEN, and the European Turbine Network. She also holds certifications in research ethics, nondestructive testing, welding inspection, quality auditing, and safety oversight. Dr. Farhat’s record reflects sustained innovation, cross-disciplinary expertise, and impactful contributions to advancing energy sustainability and intelligent engineering systems.

Profiles: Google Scholar | Scopus

Featured Publications

1. Farhat, H., & Salvini, C. (2022). Novel gas turbine challenges to support the clean energy transition. Energies, 15(15), 5474.

2. Farhat, H. (2021). Operation, maintenance, and repair of land-based gas turbines.

3. Farhat, H. (2021). Materials and coating technologies. In Operation, maintenance, and repair of land-based gas turbines (pp. 63–87).

4. Farhat, H., & Salvini, C. (2022). New lifing criterion for land-based gas turbines in flexible operation mode. Energy Reports, 8, 379–385.

5. Farhat, H. (2021). Lifetime extension: Assessment and considerations. In Operation, maintenance, and repair of land-based gas turbines (pp. 175–196).

Dr. Hiyam Farhat’s work advances intelligent energy systems by integrating AI-driven modeling, digital-twin technologies, and materials degradation analytics to enhance performance, reliability, and sustainability in turbomachinery and clean-energy applications. Her contributions support industry and national energy goals by improving efficiency, reducing emissions, and enabling data-informed lifecycle management for next-generation power systems.

Sayyid Ali Banihashemi | Engineering | Editorial Board Member

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Assist. Prof. Dr. Sayyid Ali Banihashemi | Engineering | Editorial Board Member

Faculty Member | Payame Noor University | Iran

Assist. Prof. Dr. Sayyid Ali Banihashemi, Associate Professor in the Department of Industrial Engineering at Payame Noor University, is a recognized scholar specializing in project scheduling, data envelopment analysis, supply chain management, and organizational agility. He holds advanced degrees in industrial engineering with a concentration in operations research and performance evaluation, complemented by rigorous training in quantitative decision-making. His professional experience includes leading academic programs, supervising research initiatives, and contributing to major analytical and optimization projects that support organizational and operational improvement. Dr. Banihashemi’s research portfolio encompasses influential publications, high-impact citations, and methodological advancements that have shaped contemporary practices in project planning efficiency, productivity assessment, and supply chain performance. His scholarly contributions are further reflected in editorial responsibilities for reputable journals, memberships in distinguished professional societies, and certifications in advanced analytical methods. Widely cited and respected in his field, he has earned multiple recognitions for research excellence, academic service, and contributions to the industrial engineering community, establishing him as a dedicated leader committed to advancing theory and practice in operations and performance management.

Profiles: Google Scholar

Featured Publications

1. Dahmardeh, N., & Banihashemi, S. A. (2010). Organizational agility and agile manufacturing. European Journal of Economics, Finance and Administrative Sciences, 27, 178–184.

2. Banihashemi, S. A. (2011). The role of communication to improve organizational process. European Journal of Humanities and Social Sciences, 1(1), 13–24.

3. Banihashemi, S. A., Khalilzadeh, M., Shahraki, A., Malkhalifeh, M. R. M., & others. (2020). Optimization of environmental impacts of construction projects: A time–cost–quality trade-off approach. International Journal of Environmental Science and Technology, 1–16.

4. Banihashemi, S. A., & Khalilzadeh, M. (2021). Time-cost-quality–environmental impact trade-off resource-constrained project scheduling problem with DEA approach. Engineering, Construction and Architectural Management, 28(7), 1979–2004.

5. Banihashemi, S. A., Khalilzadeh, M., Antucheviciene, J., & Edalatpanah, S. A. (2023). Identifying and prioritizing the challenges and obstacles of green supply chain management in the construction industry using the fuzzy BWM method. Buildings, 13(1), 38.

Dr. Sayyid Ali Banihashemi’s work advances scientific and industrial practice by integrating optimization, sustainability, and performance evaluation to improve project delivery and supply chain systems. His research supports data-driven decision-making that enhances organizational efficiency, reduces environmental impacts, and strengthens the resilience and agility of modern industries.

Rakesh Kumar | Additive Manufacturing | Most Cited Article Award

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Dr. Rakesh Kumar | Additive Manufacturing | Most Cited Article Award

Manager | Kaushik Orthopedic Pvt. Ltd | India

Dr. Rakesh Kumar, currently serving as QA/RA Manager at Kaushik Orthopaedic Private Limited, is a distinguished professional and researcher in the field of Mechanical and Advanced Manufacturing Engineering. Holding a Ph.D., M.Tech., B.Tech., and Diploma in Mechanical Engineering, his academic foundation reflects a deep commitment to technical education, research, and innovation. With over fourteen years of diverse experience across academia and industry, he has held leadership and technical positions including Assistant Professor, Head of Department, and Senior Research Engineer, contributing significantly to quality assurance, regulatory affairs, and research development. His doctoral research focused on electric arc spray coated 3D-printed PLA scaffolds for orthopedic applications, bridging materials science and biomedical engineering. Dr. Kumar has made substantial scholarly contributions with more than one hundred research publications, numerous patents, books, and book chapters, alongside active participation in conferences, workshops, and faculty development programs. His research emphasizes advanced manufacturing, coating technologies, additive manufacturing, and biomedical materials. Recognized with multiple awards for academic excellence and research impact, including institutional medals and commendations for peer review contributions, Dr. Kumar exemplifies professional dedication, innovation, and leadership in engineering research. His continued pursuit of interdisciplinary collaboration and technological advancement positions him as an influential figure with strong potential to drive impactful research and industrial innovation in his domain.

Profiles: Scopus

Featured Publications

1. Kumar, R., & Others. (2025). Effect of hybrid nano rare earth reinforcement and hot rolling on mechanical, corrosion, and biocompatibility of biodegradable Mg implants. Composite Structures.

2. Kumar, R., & Others. (2025). Density functional theory-based design of low-lattice mismatch MoS₂/ZnSe and Zn₃P₂/MoS₂ interfaces for enhanced photovoltaic efficiency via SCAPS-1D optimization. Inorganic Chemistry Communications.

3. Kumar, R., & Others. (2025). A comprehensive study on additive manufacturing techniques, machine learning integration, and Internet of Things-driven sustainability opportunities. [Journal name unavailable].

4. Kumar, R., & Others. (2025). Comprehensive study on the microstructural, mechanical, tribological, and application of cold spray coatings. In Book Chapter.

Dr. Rakesh Kumar’s work bridges advanced manufacturing, materials science, and biomedical engineering to develop innovative, sustainable, and high-performance solutions for healthcare and industrial applications. His research on biodegradable implants, additive manufacturing, and smart materials contributes significantly to scientific advancement and global innovation, fostering improved quality of life and technological progress.

Maddu Kamaraju | Electronics and Communication Engineering | Best Faculty Award

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Dr. Maddu Kamaraju | Electronics and Communication Engineering | Best Faculty Award

Professor | Seshadri Rao Gudlavalleru Engineering College | India

Dr. Maddu Kamaraju is a distinguished Professor and Mentor in the Department of Electronics and Communication Engineering at Gudlavalleru Engineering College, with extensive experience spanning over two decades in teaching, research, and academic leadership. His expertise lies in low-power VLSI design and embedded systems, where he has guided numerous students and faculty in research and curriculum development. Dr. Kamaraju has held key leadership roles, including Head of Department and Mentor, fostering a research-oriented academic environment. He is an active member of several professional organizations, including IEEE, ACM, IE, and IETE, reflecting his strong engagement with the engineering community. His research contributions are widely recognized, evidenced by publications in reputed journals and conferences, mentoring of doctoral scholars, and innovative projects in electronics engineering. According to Scopus, his research impact is substantial, with 53 documents, an h-index of 5, and a total of 103 citations.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

1. Kamaraju, M., & Kumar, P. A. (2015). Wireless fingerprint attendance management system. IEEE International Conference on Electrical, Computer and Communication.

2. Chandra, G. V. P., Yadav, S., Krishna, B. A., & Kamaraju, M. (2014). Performance of Wiener filter and adaptive filter for noise cancellation in real-time environment. International Journal of Computer Applications, 97(15), 27.

3. Kamaraju, M., Kishore, K. L., & Tilak, A. V. N. (2010). Power optimized ALU for efficient datapath. International Journal of Computer Applications, 11(11), 39–43.

4. Lakshmi, T. V., & Kamaraju, M. (2021). A review on SRAM memory design using FinFET technology. International Journal of System Dynamics Applications, 11(6), 1–21.

5. Kumari, V. K., Chakrapani, Y. S., & Kamaraju, M. (2013). Design and characterization of Koggestone sparse Koggestone spanning tree and Brentkung adders. International Journal of Scientific and Engineering Research, 4(10), 1502–1506.

Firas Barraj | Construction and Building Materials | Best Researcher Award

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Assist. Prof. Dr. Firas Barraj | Construction and Building Materials | Best Researcher Award

Assistant Professor | University of Balamand | Lebanon

Assist. Prof. Dr. Firas Barraj is a distinguished researcher and academic in civil engineering, specializing in transportation systems, pavement materials, sustainable construction, and traffic management. His research emphasizes the use of recycled and waste materials in highway infrastructure and the advanced characterization of asphalt and pavement performance. Dr. Barraj has made significant contributions to both fundamental and applied research, developing innovative frameworks for mechanistic-empirical pavement design and probabilistic modeling of recycled asphalt mixtures. He actively engages with the global research community as an associate editor and peer reviewer for multiple reputable journals. Alongside his research, he is an accomplished educator, teaching a wide range of undergraduate and graduate courses in transportation engineering, sustainable development, and pavement design. His work demonstrates a strong integration of sustainability and practical engineering solutions. According to Scopus, his research impact includes 156 citations, 8 documents, and an h-index reflecting his growing influence in the field.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

1. Hatoum, A. A., Khatib, J. M., Barraj, F., & Elkordi, A. (2022). Survival analysis for asphalt pavement performance and assessment of various factors affecting fatigue cracking based on LTPP data. Sustainability, 14(19), 12408.

2. Barraj, F., Khatib, J., Castro, A., & Elkordi, A. (2022). Effect of chemical warm mix additive on the properties and mechanical performance of recycled asphalt mixtures. Buildings, 12(7), 874.

3. Barraj, F., Mahfouz, S., Kassem, H., Khatib, J., Goulias, D., & Elkordi, A. (2023). Investigation of using crushed glass waste as filler replacement in hot asphalt mixtures. Sustainability, 15(3), 1–18.

4. Alhakim, G., Jaber, L., Baalbaki, O., & Barraj, F. (2023). Utilization of fan palm, date palm, and Phragmites australis fibers for improving the mechanical behavior of sandy soil. Geomechanics for Energy and the Environment, 33, 100427.

5. Barraj, F., & Elkordi, A. (2022). Investigating the effect of using unclassified fractionated reclaimed asphalt pavement materials on the properties of hot mix asphalt. Construction and Building Materials, 353, 129099.