Dr. Jaimon Dennis Quadros | Computational Methods | Best Researcher Award

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Dr. Jaimon Dennis Quadros | Computational Methods | Best Researcher Award

Lecturer | School of Engineering and Built Environment, University of Greater Manchester | United Kingdom

Dr. Jaimon Dennis Quadros is a distinguished researcher recognized for advanced contributions in Computational Methods applied to mechanical engineering and fluid sciences. His expertise centers on Computational Methods for fluid dynamics, heat transfer, multiphase flows, and intelligent optimization, with strong emphasis on Computational Methods integrated with artificial intelligence, neural networks, and machine learning. Dr. Jaimon Dennis Quadros has produced an extensive body of scholarly work, authoring more than seventy peer reviewed publications that highlight the effectiveness of Computational Methods in predicting complex physical phenomena. His research demonstrates how Computational Methods enhance accuracy, efficiency, and reliability in engineering analysis and design. Through international academic and industry collaborations, he has successfully applied Computational Methods to aerospace, automotive, manufacturing, and thermal systems, supporting innovation and sustainable engineering solutions. His mentorship and leadership have strengthened research capacity and knowledge transfer across institutions. The societal impact of his work lies in advancing safer designs, improved energy efficiency, and data informed decision making through Computational Methods. Scopus profile of 198 Citations, 35 Documents, 8 h index.

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Featured Publications

Prof. Ramsey F. Hamade | Engineering Mechanics | Research Excellence Award

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Prof. Ramsey F. Hamade | Engineering Mechanics | Research Excellence Award

Professor | American University of Beirut | Lebanon

Prof. Ramsey F. Hamade is a globally respected scholar and innovator whose work is firmly rooted in Engineering Mechanics and whose contributions span advanced manufacturing science applied design and applied analysis. His expertise in Engineering Mechanics integrates experimental investigation computational modeling and applied Engineering Mechanics for materials processing machining joining and structural response. Through sustained research leadership Engineering Mechanics has been advanced across friction based processing nondestructive evaluation biomedical applications and sustainable manufacturing with Engineering Mechanics serving as the unifying scientific framework. He has authored more than eighty peer reviewed journal articles book chapters and patents reflecting strong productivity and influence in Engineering Mechanics research. His work demonstrates impactful collaboration with international academic and industrial partners translating Engineering Mechanics knowledge into practical technologies and societal benefit. The outcomes include improved material performance safer structures enhanced medical solutions and sustainable engineering practices all grounded in Engineering Mechanics rigor and relevance. His scholarly influence and visibility are reflected in the professional words Google Scholar profile of 2161 Citations, 26 h-index, 53 i10 index.

Citation Metrics (Google Scholar)

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                             ■ Citations                         ■ h-index                          ■ i10-index

Featured Publications


Evaluating the Learning Process of Mechanical CAD Students

RF Hamade, HA Artail, MY Jaber — Computers & Education, Vol. 49(3), pp. 640–661, 2007
Cited by 127


Relating Grain Size to the Zener–Hollomon Parameter for Twin-Roll-Cast AZ31B Alloy Refined by Friction Stir Processing

AH Ammouri, G Kridli, G Ayoub, RF Hamade — Journal of Materials Processing Technology, Vol. 222, pp. 301–306, 2015
Cited by 106


Design and Testing of a Locally Made Loop-Type Thermosyphonic Heat Sink for Stove-Top Thermoelectric Generators

R Nuwayhid, RF Hamade — Renewable Energy, Vol. 30(7), pp. 1101–1116, 2005
Cited by 98


A Case for Aggressive Drilling of Aluminum

RF Hamade, F Ismail — Journal of Materials Processing Technology, Vol. 166(1), pp. 86–97, 2005
Cited by 92


Extracting Cutting Force Coefficients from Drilling Experiments

RF Hamade, CY Seif, F Ismail — International Journal of Machine Tools and Manufacture, Vol. 46(3–4), pp. 387–396, 2006
Cited by 86

Dr. Jagadish | Engineering | Best Researcher Award

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Dr. Jagadish | Engineering | Best Researcher Award

Assistant Professor | Indian Statistical Institute, Bengaluru Centre | India

Dr. Jagadish is a distinguished researcher and Assistant Professor at the Indian Statistical Institute, Bangalore Centre, known for his influential contributions in Engineering fields encompassing Industrial Engineering, Production Engineering, and Mechanical Engineering. His academic and research accomplishments reflect a deep commitment to advancing Engineering principles through innovation, optimization, and sustainable development. With a strong foundation in Engineering optimization techniques, Engineering management, and Engineering modeling, Dr. Jagadish has established a reputation for excellence in multidisciplinary Engineering research. He has published 52 documents and accumulated 853 citations, achieving an h-index of 15 on Scopus, underscoring the impact and visibility of his scholarly work. A prolific author, Dr. Jagadish has contributed significantly to high-impact international journals and has authored and co-authored numerous Engineering books and book chapters published by leading academic publishers such as Springer, IGI Global, and Elsevier. His Engineering research spans optimization in green manufacturing, additive manufacturing, sustainable composites, and decision-making methods in production systems. He has also collaborated extensively with academic and industrial partners across multiple Engineering disciplines, bridging theoretical analysis with practical applications. His Engineering consultancy and project leadership demonstrate a strong connection between academic research and industrial implementation, particularly in areas such as quality management, Six Sigma applications, and process optimization. Dr. Jagadish’s leadership in Engineering training programs, conferences, and applied research projects has contributed greatly to capacity building and knowledge transfer in the Engineering community. His research integrates computational methods, experimental design, and sustainable approaches, reflecting the evolving role of Engineering in addressing environmental and industrial challenges. Through his consistent scholarly excellence and dedication to innovation, Dr. Jagadish continues to advance the frontiers of modern Engineering, contributing meaningfully to both academia and society.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Performance Analysis and Optimization of Different Electrode Materials and Dielectric Fluids on Machining of High Carbon High Chromium Steel in Electrical Discharge Machining. (2022). Proceedings of the National Academy of Sciences India Section A: Physical Sciences.

2. Evaluation of Machining Properties of Short Bamboo Fiber-Based Green Composites Using CNC Drilling Process. (Conference Paper).

3. Performance Evaluation of Sand Coated Absorber Based Solar Air Collector. (2021). Journal of Building Engineering.

4. Energy, Exergy, and Environmental (3E) Analyses of Reverse and Cross-Corrugated Trapezoidal Solar Air Collectors: An Experimental Study. (2021). Journal of Building Engineering.

5. A Soft Computing-Based Study on WEDM Optimization in Processing Inconel 625. (2021). Neural Computing and Applications.

Prof. Dr. Jinju Sun | Computational Methods | Best Researcher Award

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Prof. Dr. Jinju Sun | Computational Methods | Best Researcher Award

Professor | Xi'an Jiaotong University | China

Prof. Dr. Jinju Sun is a distinguished scholar in the School of Energy and Power Engineering at Xi’an Jiaotong University, renowned for her pioneering contributions to fluid mechanics, turbomachinery, and multiphase flow systems through advanced Computational Methods. Her educational journey spans cryogenic engineering to a PhD in turbomachinery and engineering mechanics, which laid the foundation for her expertise in Computational Methods applied to turbomachinery optimization, Lattice Boltzmann modeling, and Vortex Method simulations. Throughout her professional career, she has served as a researcher, lecturer, and professor, advancing research through numerous national and international collaborations emphasizing Computational Methods in fluid dynamics and green energy system design. She has received prestigious honors, including the Donald Julius Groen Prize and the Arthur Charles Main Award from the Institution of Mechanical Engineers (UK), in recognition of her outstanding achievements utilizing Computational Methods for energy system modeling and flow optimization. Her research interests include cryogenic liquid turbines, compressor instabilities, and innovative Computational Methods for fluid-structure interaction and multiphase flow behavior. She has authored numerous high-impact publications and holds multiple international patents that demonstrate her excellence in Computational Methods-based innovation. Prof. Dr. Jinju Sun’s research skills encompass CFD modeling, LBM, topology optimization, and Computational Methods-driven analysis for turbomachinery and green energy systems. In conclusion, her dedication to advancing Computational Methods in engineering has positioned her as a global leader driving innovation, sustainability, and scientific excellence in modern energy and power engineering.

Profile: ORCID

Featured Publications

1. Qu, Y., Sun, J., Song, P., & Wang, J. (2025). Enhancing efficiency and economic viability in Rectisol system with cryogenic liquid expander. Asia-Pacific Journal of Chemical Engineering.

2. Ge, Y., Peng, J., Chen, F., Liu, L., Zhang, W., Liu, W., & Sun, J. (2023). Performance analysis of a novel small-scale radial turbine with adjustable nozzle for ocean thermal energy conversion. AIP Advances.

3. Fu, X., & Sun, J. (2023). Three-dimensional color-gradient lattice Boltzmann model for simulating droplet ringlike migration under an omnidirectional thermal gradient. International Journal of Thermal Sciences.

4. Song, P., Sun, J., Wang, S., & Wang, X. (2022). Multipoint design optimization of a radial-outflow turbine for Kalina cycle system considering flexible operating conditions and variable ammonia-water mass fraction. Energies.

5. Song, P., Wang, S., & Sun, J. (2022). Numerical investigation and performance enhancement by means of geometric sensitivity analysis and parametric tuning of a radial-outflow high-pressure oil–gas turbine. Energies.

Dr. Liping Gong | Mechanical engineering | Best Researcher Award

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Dr. Liping Gong | Mechanical engineering | Best Researcher Award

Associate Research Fellow | University of Wollongong | Australia

Dr. Liping Gong is a distinguished researcher in the field of mechanical engineering, demonstrating exceptional expertise in advanced materials, vibration control, and energy harvesting systems. He earned his Doctor of Philosophy in mechanical engineering from the University of Wollongong, Australia, where his work received the Examiners’ Commendation for Outstanding Thesis. His academic foundation in mechanical engineering was strengthened by a Bachelor’s degree in Engineering Mechanics from Chang’an University, China. As a Postdoctoral Research Fellow, he has made significant strides in developing shear-stiffening phononic crystals through stereolithography for vibration and acoustic applications, alongside mentoring students in material characterization and finite element modeling—core skills in mechanical engineering research. His contributions span the design of magnetorheological elastomers, liquid metal-based nanogenerators, and intelligent materials for energy harvesting, reflecting innovation across various mechanical engineering domains. Dr. Gong’s research in mechanical engineering has been published in top-tier journals such as Advanced Materials, Nano Energy, and Smart Materials and Structures. His dedication has been recognized with the Best Oral Presentation Award at international mechanical engineering conferences. His research skills encompass experimental design, data analysis, material fabrication, and computational modeling—crucial aspects of mechanical engineering advancement. With deep involvement in reviewing for international journals, Dr. Gong continues to contribute to global mechanical engineering excellence. His professional journey highlights a commitment to innovation, interdisciplinary collaboration, and scientific impact within mechanical engineering.Google Scholar profile of 301 Citations, 7 h-index, 7 i10-index.

Profile: Google Scholar

Featured Publications

1. Wang, S., Gong, L., Shang, Z., Ding, L., Yin, G., Jiang, W., Gong, X., & Xuan, S. (2018). Novel safeguarding tactile e‐skins for monitoring human motion based on SST/PDMS–AgNW–PET hybrid structures. Advanced Functional Materials, 28(18), 1707538.

2. Zhang, Q., Lu, H., Yun, G., Gong, L., Chen, Z., Jin, S., Du, H., Jiang, Z., & Li, W. (2024). A laminated gravity‐driven liquid metal‐doped hydrogel of unparalleled toughness and conductivity. Advanced Functional Materials, 34(31), 2308113.

3. Wu, H., Gong, N., Yang, J., Gong, L., Li, W., & Sun, S. (2024). Investigation of a semi-active suspension system for high-speed trains based on magnetorheological isolator with negative stiffness characteristics. Mechanical Systems and Signal Processing, 208, 111085.

4. Gong, L., Xuan, T., Wang, S., Du, H., & Li, W. (2023). Liquid metal based triboelectric nanogenerator with excellent electrothermal and safeguarding performance towards intelligent plaster. Nano Energy, 109, 108280.

5. Jin, S., Yang, J., Sun, S., Deng, L., Chen, Z., Gong, L., Du, H., & Li, W. (2023). Magnetorheological elastomer base isolation in civil engineering: a review. Journal of Infrastructure Intelligence and Resilience, 2(2), 100039.

Sathya Arumugam Thirumalai | Computational Methods | Young Scientist Award

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Mr. Sathya Arumugam Thirumalai | Computational Methods | Young Scientist Award

Mr. Sathya Arumugam Thirumalai | Indian Institute of Technology Roorkee | India

Mr. Sathya Arumugam Thirumalai is a highly motivated researcher whose work integrates Computational Methods with experimental nanomaterial science, emphasizing sustainability, environmental protection, and advanced detection technologies. His academic journey, from IIT Roorkee to TU Dresden, reflects an enduring commitment to merging experimental nanotechnology with Computational Methods for the synthesis and characterization of perovskite, MXene, and 2D materials. Mr. Sathya’s professional experience spans renowned institutions like IISc Bengaluru, BARC Mumbai, and IIT Roorkee, where he utilized Computational Methods in density functional theory (DFT) simulations, material modeling, and radiation detector design. His research, grounded in Computational Methods, has contributed to multiple journal publications addressing gas sensing, field emission, and radiation detection. He applies Computational Methods to optimize nanomaterial performance, enhance photonic properties, and improve the efficiency of radiation detectors. Recognized with several awards and fellowships, including the National Talent Search Fellowship and the Saxon Student Mobility Grant, he has demonstrated excellence in both theoretical and practical domains. His technical mastery extends to Python, MATLAB, COMSOL, and VASP, emphasizing his strength in applying Computational Methods across interdisciplinary fields. Mr. Sathya’s skill in Computational Methods enables him to bridge theoretical simulations with experimental validation, ensuring scientific precision and innovation. His collaborative engagements with global research groups highlight his leadership and cross-disciplinary adaptability. In conclusion, Mr. Sathya exemplifies how Computational Methods can revolutionize material science, fostering technological advancements that align with sustainability and human welfare.

Profiles: Google Scholar | ORCID

Featured Publications

1. Sathya, A. T., Jethawa, U., Sarkar, S. G., & Chakraborty, B. (2025). Pd-decorated MoSi₂N₄ monolayer: Enhanced nitrobenzene sensing through DFT perspective. Journal of Molecular Liquids, 427, 127310.

2. Sathya, A. T., Kandasamy, M., & Chakraborty, B. (2024). Strain induced nitrobenzene sensing performance of MoSi₂N₄ monolayer: Investigation from density functional theory. Surfaces and Interfaces, 55, 105386.

3. Sanyal, G., Vaidyanathan, A., Sathya, A. T., & Chakraborty, B. (2025). Efficient catechol sensing in newly synthesized 2D material Ti₂B MBene: Insights from density functional theory simulations. Langmuir, 41(33), 22525–22534.

4. Sathya, A. T., Sarkar, S. G., Bakhtsingh, R. I., & Mondal, J. (2024). Suppression of shielding effect of large area field emitter cathode in radio frequency gun environment. Physica Scripta, 99(12), 125301.

Prof. Viktor Mykhas’kiv | Computational Methods | Best Researcher Award

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Prof. Viktor Mykhas’kiv | Computational Methods | Best Researcher Award

Leading Scientific Researcher | Institute for Applied Problemss of Mechanics and Mathematics | Ukraine

Prof. Viktor Mykhas’kiv is a distinguished researcher at the Pidstryhach Institute for Applied Problems of Mechanics and Mathematics, National Academy of Sciences of Ukraine. His academic achievements include a Doctor of Science in Physics and Mathematics and a professorship in Mechanics of Deformable Solids. His extensive expertise in Computational Methods spans across Computational Mechanics, Materials Science, Structural Mechanics, and Multiscale Mathematical Modeling. Through his pioneering work, he has applied Computational Methods to study wave propagation, metamaterials, and nanomechanics, advancing knowledge in multiple scattering theory. His research leadership in international collaborations under INTAS, STCU, DAAD, DFG, and Fulbright programs highlights his ability to integrate Computational Methods within global scientific frameworks. As a team leader and project manager, he has promoted innovative Computational Methods in the investigation of elastic metamaterials and complex lattice structures. He has published widely, authoring over seventy-six Scopus-indexed papers, two books, and contributing to editorial boards of international journals like Mathematical Methods and Physicomechanical Fields. His commitment to excellence in Computational Methods is reflected in his role as a member of the European Structural Integrity Society. He has also served as a visiting researcher in the USA and Germany, applying Computational Methods to solve advanced mechanical and physical problems. His awards and honors recognize his groundbreaking use of Computational Methods in applied mechanics and theoretical modeling. With remarkable research skills and professional integrity, Prof. Viktor Mykhas’kiv continues to contribute significantly to global scientific progress. Scopus profile of 474 Citations, 76 Documents, 14 h-index.

Profiles: Scopus | ORCID

Featured Publications

1. Stankevych, V. Z., & Mykhas’kiv, V. V. (2023). Intensity of dynamic stresses of longitudinal shear in a periodically layered composite with penny-shaped cracks. Journal of Mathematical Sciences, 269(2), 268–280.

2. Mykhas’kiv, V. V., & Stasyuk, B. M. (2021). Effective elastic moduli of short-fiber composite with sliding contact conditions at interfaces. Mechanics of Composite Materials, 57(6), 845–854.

3. Mykhas’kiv, V., & Stankevych, V. (2019). Elastodynamic problem for a layered composite with penny-shaped crack under harmonic torsion. ZAMM – Zeitschrift für Angewandte Mathematik und Mechanik, 99(8), e201800193.

4. Mykhas’kiv, V. V., Zhbadynskyi, I. Y., & Zhang, C. (2019). On propagation of time-harmonic elastic waves through a double-periodic array of penny-shaped cracks. European Journal of Mechanics - A/Solids, 74, 68–77.

5. Zhbadynskyi, I. Y., & Mykhas’kiv, V. V. (2018). Acoustic filtering properties of 3D elastic metamaterials structured by crack-like inclusions. Proceedings of the International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory (DIPED), 54–59.

Mr. Md Atiqur Rahman | Engineering | Best Researcher Award

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Mr. Md Atiqur Rahman | Engineering | Best Researcher Award

PhD Researcher at University of Bolton, United Kingdom

Mr. Md Atiqur Rahman is a passionate professional in the field of engineering. His focus on engineering drives all his academic, research, and professional contributions. With a strong foundation in engineering principles, his experience in engineering education and engineering research has made a significant impact in multiple engineering institutions. He has delivered engineering lectures, assessed engineering students, and developed engineering modules in higher education. His engineering insight extends to aerospace engineering, mechanical engineering, and structural engineering. Recognized for excellence in engineering teaching, he continues to shape engineering education and inspire future engineers. His commitment to engineering is evident through his engineering publications, engineering awards, and engineering affiliations, all deeply rooted in engineering. His goal is to innovate within engineering.

Professional Profile

ORCID Profile | Google Scholar Profile

Education 

Mr. Md Atiqur Rahman academic background is deeply rooted in engineering. He holds advanced engineering degrees from respected institutions, with specializations in aerospace engineering and mechanical engineering. His engineering education began with undergraduate engineering studies and culminated in doctoral-level engineering research. His academic journey reflects dedication to mastering engineering theories and practical engineering applications. He studied engineering methodology, engineering systems, engineering design, and engineering analysis throughout his programs. These engineering-focused studies prepared him to teach, research, and develop within various branches of engineering. His engineering thesis involved deep engineering experimentation and engineering analysis. He continues to contribute to engineering academia through research grounded in engineering fundamentals. His educational background makes him a leader in the engineering discipline.

Experience 

Mr. Md Atiqur Rahmanhas worked extensively in the engineering education sector. His professional experience spans engineering teaching, engineering curriculum development, engineering assessment, and engineering verification. He has held several engineering lecturer positions across renowned engineering colleges and universities. His roles involved delivering engineering content, managing engineering modules, and ensuring compliance with engineering education standards. In every institution, his engineering expertise influenced both the engineering faculty and engineering students. He conducted engineering workshops, developed engineering resources, and led engineering training. Through engineering-focused teaching, he enhanced student understanding of core engineering concepts. His engineering experience extends beyond teaching to include engineering quality assurance and engineering academic leadership. Engineering is central to all his career achievements.

Research Interest 

His research interest lies at the intersection of sustainable engineering and material science within the field of engineering. He is passionate about advancing engineering innovation through bio-composite materials, particularly for aerospace engineering and automotive engineering applications. He investigates fiber-based solutions to improve engineering strength, thermal resistance, and dynamic performance. His engineering focus also includes structural engineering, aerodynamics, and mechanical engineering systems. Through experimentation and simulation, he aims to solve modern engineering challenges using environmentally responsible engineering techniques. He integrates traditional engineering principles with emerging engineering technologies. His research promotes eco-efficient engineering, supporting the future of engineering design. Each project contributes to solving complex engineering issues through dedicated engineering-based inquiry and engineering methodology.

Award and Honor

Mr. Md Atiqur Rahman has been recognized multiple times for his excellence in engineering. His dedication to engineering teaching and engineering research has earned him engineering awards and engineering honors. He was celebrated for advancing engineering knowledge and promoting engineering education among diverse student groups. One of his students received a national engineering learner award under his mentorship, showcasing his engineering impact. He was honored as best engineering lecturer, reinforcing his reputation in the engineering academic community. His role in engineering assessment and engineering quality assurance contributed to institutional engineering excellence. These accolades reflect his deep commitment to engineering growth and development. Engineering institutions continue to benefit from his award-winning contributions to engineering education and engineering innovation.

Research Skill

Mr. Md Atiqur Rahman has developed robust research skills in engineering through extensive engineering-based projects and engineering publication efforts. His engineering research focuses on experimental engineering, materials engineering, and aerospace engineering. He conducts mechanical testing, thermal analysis, and dynamic engineering evaluations. His engineering research includes the use of modern engineering tools and simulation software, enhancing precision in engineering experiments. He is skilled in data interpretation and engineering results analysis, supporting conclusions based on engineering theories. His engineering methodology is systematic, replicable, and grounded in engineering logic. He prepares engineering manuscripts, conference papers, and engineering journal submissions with a research-driven engineering approach. His engineering research skills contribute to advancements across multiple engineering domains.

Publication Top Notes 

  • Title: Palmyra Palm Shell (Borassus flabellifer) Properties Part 1: Insights Into Its Physical and Chemical Properties
    Authors: MA Rahman, M Ndiaye, B Weclawski
    Journal: Engineering Reports

  • Title: Palmyra Palm Shell (Borassus flabellifer) Properties Part 2: Insights Into Its Thermal and Mechanical Properties
    Authors: MA Rahman, M Ndiaye, B Weclawski, P Farrell
    Journal: Engineering Reports

  • Title: Palmyra Palm Shell (Borassus flabellifer) Properties Part 3: Insights Into Its Morphological, Chemical, and Thermal Properties After Alkali Treatment
    Authors: MA Rahman, M Ndiaye, B Weclawski, P Farrell
    Journal: Engineering Reports

  • Title: Dynamic Mechanical Analysis of Borassus Husk Fiber Reinforced Epoxy: Evaluating Suitability for Advanced Aerospace and Automotive Applications
    Authors: MA Rahman, M Ndiaye, B Weclawski, P Farrell
    Journal: Engineering Reports

  • Title: Optimizing Borassus Husk Fibre/Epoxy Composites: A Study on Physical, Thermal, Flexural and Dynamic Mechanical Performance
    Authors: MA Rahman, M Ndiaye, B Weclawski, P Farrell
    Journal: Engineering Reports

  • Title: Alkali‐Treated Borassus Husk Fiber Reinforced High‐Heat Resistant Epoxy: Insights into Their Thermal, Dynamic Mechanical, and Outgassing Properties
    Authors: MA Rahman, M Ndiaye, B Weclawski, P Farrell
    Journal: Engineering Reports

  • Title: Enhancing Thermal and Dynamic Mechanical Properties of Alkali-Treated Borassus Husk Fibre Reinforced High-Heat Resistant Epoxy Composites
    Authors: MA Rahman, M Ndiaye, B Weclawski, P Farrell
    Journal: Journal of Natural Fibers

  • Title: Next-Generation Bio-Composites: Alkali-Treated Borassus Husk Fiber for Structural and Thermal Efficiency
    Authors: MA Rahman, M Ndiaye, B Weclawski, P Farrell
    Journal: Journal of Natural Fibers

Conclusion

Mr. Md Atiqur Rahman exemplifies the values of engineering through his consistent contributions to engineering education, engineering research, and engineering practice. His commitment to engineering excellence and engineering development continues to influence engineering students, engineering faculty, and engineering professionals. From teaching engineering modules to publishing cutting-edge engineering research, he remains dedicated to advancing the engineering discipline. He uses engineering tools, engineering theory, and engineering creativity to solve real-world engineering problems. His vision for engineering includes sustainable engineering innovation and cross-disciplinary engineering collaboration. Engineering remains central to his identity and career goals. Through continuous engineering exploration, he aspires to elevate engineering knowledge and broaden the impact of engineering for the benefit of society.