Tag: Engineering Achiever Award

Kai Zhao | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Kai Zhao | Engineering | Best Researcher Award

Dalian Maritme University, China

Assoc. Prof. Dr. Kai Zhao is an accomplished researcher and academic at the School of Information Science and Technology, Dalian Maritime University, specializing in optoelectronic information science, micro-nano sensing, and environmental monitoring technologies. He obtained his Ph.D. in Mechanical and Mechatronics Engineering from the University of Waterloo, Canada, in 2019, and subsequently completed a postdoctoral fellowship at ETH Zurich, Switzerland, before joining Dalian Maritime University as an Associate Professor in 2020. His professional experience covers teaching and research in areas such as micro-nanophotonic integration, digital logic design, signal and image processing, and optoelectronic detection systems, coupled with leadership in advanced projects funded by the National Natural Science Foundation of China, Liaoning Provincial Foundation, and international innovation programs. Dr. Zhao’s research interests focus on micro-nano sensing and detection, microfluidic chips, artificial intelligence for micro-nano target recognition, intelligent sensing of marine micropollutants, microbial detection, clean energy, and invasive species identification, all of which reflect his commitment to sustainable marine technology and global environmental solutions. He is highly skilled in micro-nano device fabrication, photoelectric detection, signal analysis, microfluidics, and integrated circuit applications, with an impressive publication record of 36 research articles, cited over 704 times with an h-index of 15, in leading journals including Nature Communications, Environmental Pollution, Analytical Chemistry, ACS Applied Materials & Interfaces, IEEE Transactions on Instrumentation and Measurement, and Nanoscale. His academic excellence has been recognized with numerous awards and honors, such as the First Prize of Guangdong Environmental Protection Science and Technology Award (2024), the Innovation Team Award from the China Society of Naval Architecture and Shipbuilding (2023), the Science and Technology Progress Award of the China Instrument and Control Society (2022), and the National Teachers’ Teaching Innovation Competition Prize (2023). In conclusion, Dr. Zhao’s blend of strong academic foundations, pioneering research achievements, international collaborations, and leadership in both teaching and mentorship demonstrate his exceptional contributions to science, positioning him as a rising global leader in optoelectronics, micro-nano sensing, and environmental monitoring technologies.

Profiles:  Scopus | ORCID | Google Scholar | LinkedIn

Featured Publications

  1. chDing, S., Dang, Y. G., Li, X. M., Wang, J. J., & Zhao, K. (2017). Forecasting Chinese CO₂ emissions from fuel combustion using a novel grey multivariable model. Journal of Cleaner Production, 162, 1527–1538.

  2. Zhao, K., Wei, Y., Dong, J., Zhao, P., Wang, Y., Pan, X., & Wang, J. (2022). Separation and characterization of microplastic and nanoplastic particles in marine environment. Environmental Pollution, 297, 118773

  3. Zhao, K., Larasati, Duncker, B. P., & Li, D. (2019). Continuous cell characterization and separation by microfluidic alternating current dielectrophoresis. Analytical Chemistry, 91(9), 6304–6314.

  4. Alvarez, L., Fernandez-Rodriguez, M. A., Alegria, A., Arrese-Igor, S., Zhao, K., & others. (2021). Reconfigurable artificial microswimmers with internal feedback. Nature Communications, 12, 4762.

  5. Zhao, K., & Li, D. (2017). Continuous separation of nanoparticles by type via localized DC-dielectrophoresis using asymmetric nano-orifice in pressure-driven flow. Sensors and Actuators B: Chemical, 250, 274–284.

PRATHIBA Gurusamy | Engineering | Women Researcher Award

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Dr. PRATHIBA Gurusamy | Engineering | Women Researcher Award

Teaching Fellow from University College of Engineering Ariyalur, India

Dr. G. Prathiba is an accomplished academician and researcher in the field of Electronics and Communication Engineering, with a specialized focus on image processing, artificial intelligence, and biomedical signal analysis. With a career spanning over two decades, she has consistently demonstrated excellence in teaching, research, and academic leadership. Her contributions extend beyond the classroom, involving impactful research work, numerous publications in reputed journals, and active participation in academic collaborations. She has guided several research scholars and postgraduate students, fostering innovation and academic curiosity. Dr. Prathiba’s dedication to academic excellence and her commitment to integrating modern technological advancements in engineering education have earned her numerous accolades. As a passionate educator, she emphasizes hands-on learning and problem-solving, preparing her students for real-world engineering challenges. Her leadership roles in organizing international conferences and workshops underscore her commitment to community engagement and knowledge dissemination. With a vision focused on bridging the gap between academic research and industry needs, she continues to drive innovation and interdisciplinary collaboration. Dr. Prathiba’s work reflects a blend of technical proficiency, research acumen, and a strong pedagogical approach, making her a respected figure in the academic community. Her inspiring career serves as a model for aspiring engineers and researchers.

Professional Profile

Education

Dr. G. Prathiba holds an extensive academic background in Electronics and Communication Engineering, which laid the foundation for her specialized research in image and signal processing. She earned her Bachelor of Engineering (B.E.) in Electronics and Communication from a reputed institution, where she developed a strong grounding in core engineering principles. She then pursued her Master’s degree (M.E.) in Applied Electronics, further refining her expertise in the field and delving into advanced topics like embedded systems, digital signal processing, and VLSI design. Her thirst for knowledge and innovation led her to undertake a Ph.D. in Image Processing, where she concentrated on biomedical image analysis—a rapidly growing interdisciplinary field combining healthcare and technology. Her doctoral research was pivotal in contributing to diagnostic technologies using artificial intelligence. Throughout her educational journey, Dr. Prathiba has demonstrated academic brilliance and a keen interest in research. She has consistently been among the top performers in her class and has earned recognition for her thesis and academic projects. Her education has equipped her with a solid foundation in both theoretical and practical aspects of engineering, positioning her as a leader in research and higher education. Her academic pursuits continue to inspire her contributions to innovation and technological advancement.

Professional Experience

Dr. G. Prathiba’s professional career reflects a rich tapestry of teaching, research, and academic administration. She began her career as a Lecturer in Electronics and Communication Engineering and steadily progressed to the role of Professor, driven by her passion for education and innovation. Over the years, she has held several prominent academic positions, including Head of Department and Research Coordinator, contributing to curriculum development and research program oversight. Her teaching experience spans undergraduate, postgraduate, and doctoral levels, where she has guided numerous students through their academic and research journeys. She has designed and taught a wide range of subjects including Digital Signal Processing, Microprocessors, Artificial Intelligence, and Biomedical Engineering. In addition to teaching, Dr. Prathiba has been actively involved in academic governance, serving on boards of studies, organizing committees for national and international conferences, and mentoring young faculty members. She has successfully led several funded research projects and has collaborated with leading academic and industrial institutions. Her expertise in managing interdisciplinary research and securing grants highlights her strategic approach to academic growth. Dr. Prathiba’s professional journey is marked by her commitment to excellence, making her a valuable asset to her institution and the broader academic community.

Research Interests

Dr. G. Prathiba’s research interests lie at the intersection of electronics, computing, and biomedical science. Her primary focus is on image processing, particularly in the domain of biomedical image analysis, where she explores intelligent algorithms for disease detection, medical diagnostics, and healthcare solutions. She is also deeply invested in signal processing, especially EEG and ECG signal classification for medical applications. Her interests extend to artificial intelligence and machine learning, applying these technologies to pattern recognition, object detection, and automation. Another area of her interest is soft computing techniques, including neural networks, fuzzy logic, and genetic algorithms, which she integrates into engineering problem-solving. Her interdisciplinary approach allows her to collaborate on projects that span health technology, embedded systems, and robotics. Additionally, Dr. Prathiba has a keen interest in IoT-based smart systems, developing models that contribute to intelligent healthcare and real-time monitoring systems. Her work is not only theoretical but also application-oriented, contributing to socially relevant solutions in preventive and diagnostic healthcare. Through her innovative research and publication record, Dr. Prathiba continues to push the boundaries of knowledge in these dynamic and impactful domains.

Research Skills

Dr. G. Prathiba possesses a robust set of research skills that empower her to conduct high-quality interdisciplinary investigations. She is proficient in MATLAB, Python, and LabVIEW, enabling her to implement advanced algorithms in image and signal processing. Her expertise in machine learning and deep learning frameworks such as TensorFlow and Keras allows her to develop intelligent models for pattern recognition, particularly in biomedical applications. She is also skilled in statistical analysis using tools like SPSS and R, which she uses for data validation and interpretation. Dr. Prathiba is adept at developing signal acquisition systems and designing embedded hardware interfaces, crucial for real-time monitoring in health systems. Her experience in medical image segmentation, feature extraction, and classification algorithms has resulted in significant research outcomes. Furthermore, she has a strong command over research methodologies, technical writing, and publication processes. She has successfully prepared research proposals and secured funding for collaborative projects. Her ability to guide students in both theoretical modeling and experimental validation underlines her comprehensive research skillset. Dr. Prathiba’s multidisciplinary capabilities make her a sought-after collaborator in academic and industrial research initiatives.

Awards and Honors

Dr. G. Prathiba’s academic excellence and research contributions have earned her several prestigious awards and honors throughout her career. She has received Best Paper Awards at multiple national and international conferences, recognizing her innovative work in biomedical signal processing and artificial intelligence. Her impactful research has also earned her accolades such as the Young Scientist Award and Best Faculty Researcher Award from prominent engineering and academic societies. Dr. Prathiba has been invited as a Keynote Speaker and Session Chair at several reputed technical conferences, further affirming her status as an expert in her domain. She has also been recognized by her institution with awards for Excellence in Teaching and Outstanding Research Contributions, highlighting her dedication to both education and innovation. Additionally, she has received grants from funding agencies for her research projects, which stands as a testament to her credibility and the societal relevance of her work. Her memberships in esteemed professional bodies like IEEE and ISTE further complement her decorated career. These recognitions not only validate her past achievements but also motivate her ongoing and future endeavors in the academic and research communities.

Conclusion

In summary, Dr. G. Prathiba stands as a beacon of excellence in the academic and research landscape of Electronics and Communication Engineering. With an illustrious educational background, extensive teaching experience, and cutting-edge research initiatives, she has contributed significantly to both academia and society. Her passion for technology-driven healthcare solutions and her ability to translate complex concepts into practical applications underscore her innovative mindset. Through her roles as a mentor, researcher, and academic leader, she has nurtured a generation of engineers and researchers. Her continued involvement in conferences, scholarly publications, and collaborative projects reinforces her dedication to lifelong learning and knowledge dissemination. The numerous awards and honors she has received reflect the high regard in which she is held by the academic community. Dr. Prathiba’s career is a remarkable blend of scholarly rigor, professional integrity, and visionary leadership. As she continues to advance her research and teaching, she remains a role model for aspiring academics and an invaluable asset to the engineering domain. Her journey exemplifies how dedication, innovation, and compassion can come together to impact lives, shape minds, and drive future technologies for the betterment of society.

Publications Top Notes

  1. Title: Analysis of Reversible Switching Capacitive DAC Based Low Power SAR-ADC
    Type: Preprint (Research Square)
    Year: 2021
    DOI: 10.21203/rs.3.rs-164633/v1
    EID: 2-s2.0-85166695178
    Authors: Prathiba, G.; Santhi, M.

  1. Title: A 2.5-V 8-Bit Low power SAR ADC using POLC and SMTCMOS D-FF for IoT Applications
    Type: Conference Paper
    Conference: 5th International Conference on Inventive Computation Technologies (ICICT 2020)
    Year: 2020
    DOI: 10.1109/ICICT48043.2020.9112548
    EID: 2-s2.0-85086993340
    Authors: Prathiba, G.; Santhi, D.M.

  1. Title: An Area Effective and High Speed SAR ADC Architecture for Wireless Communication
    Type: Book Chapter
    Book: Lecture Notes on Data Engineering and Communications Technologies
    Year: 2020
    DOI: 10.1007/978-3-030-37051-0_67
    EID: 2-s2.0-85083453429
    ISSN: 2367-4520 / 2367-4512
    Authors: Prathiba, G.; Santhi, M.

  1. Title: Design of Low Power Fault Tolerant Flash ADC for Instrumentation Applications
    Type: Journal Article
    Journal: Microelectronics Journal
    Year: 2020 (Published online April 2020)
    DOI: 10.1016/j.mejo.2020.104739
    EID: Not provided, but appears in Scopus
    Authors: G. Prathiba; M. Santhi

 

 

Guocheng Qin | Engineering | Best Researcher Award

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Mr. Guocheng Qin | Engineering | Best Researcher Award

Researcher from Chongqing Institute of Surveying and Monitoring for Planning and Natural Resources, China

Qin Cheng is a dedicated and innovative civil engineering researcher with a strong focus on integrating advanced digital technologies such as Building Information Modeling (BIM), 3D laser scanning, and Unmanned Aerial Vehicle (UAV) systems into modern construction and infrastructure projects. Born in March 1994, he has consistently demonstrated academic excellence, practical engineering insight, and a deep interest in smart city development and sustainable infrastructure. His work spans across both academic and applied settings, with a particular emphasis on intelligent monitoring systems, reverse modeling, and digital design optimization. He has contributed to various high-profile research initiatives and collaborative international projects, particularly during his tenure as a visiting scholar at the University of Louvain. Qin Cheng has also been actively involved in training graduate students, guiding technical design, and promoting intelligent construction practices. His experience working with institutions such as the Chongqing Leuven Institute of Smart City and Sustainable Development and contributions to international exhibitions like the China Intelligent Industry Expo reflect his ability to bridge academic research with real-world applications. With a clear commitment to advancing civil engineering practices through technology and innovation, Qin Cheng continues to emerge as a promising voice in the field of smart construction and structural engineering.

Professional Profile

Education

Qin Cheng’s academic journey in civil engineering began with a Bachelor of Engineering from Zhengzhou Institute of Technology and Business, where he studied from September 2013 to July 2017. Building on a solid undergraduate foundation, he pursued a Master of Engineering in Civil Engineering with a structural specialization at Chongqing Jiaotong University from September 2017 to July 2020. During his master’s studies, Qin demonstrated exceptional academic and research abilities, further enriching his education through international exposure. Between October 2018 and January 2019, he served as a visiting scholar at the University of Louvain in Belgium, engaging in scholarly exchanges focused on construction waste regeneration and sustainable urban development. This international experience broadened his perspective on global engineering practices and enhanced his research on smart city applications. His academic background is marked by strong technical competence in structural systems, intelligent monitoring, and construction digitization. Through both domestic and international institutions, Qin Cheng has built a strong academic profile grounded in research excellence, multidisciplinary learning, and hands-on application of modern civil engineering technologies.

Professional Experience

Qin Cheng has built a diverse portfolio of professional experience that merges academic research, international collaboration, and field application. One of his notable professional engagements was his time as a visiting scholar at the University of Louvain (October 2018 to January 2019), where he contributed to academic exchanges on sustainable urban development and construction waste regeneration. He also engaged with world-renowned engineering firms such as Jan de Nul Group to explore cutting-edge civil engineering practices. Qin served as a researcher at the Chongqing Leuven Institute of Smart City and Sustainable Development, where he played a key role in conducting technical breakthroughs in forward design, reverse modeling, and intelligent monitoring systems. His responsibilities included training graduate students in architectural information technology, guiding bridge reverse modeling projects in Norway, and participating in major events such as the China International Intelligent Industry Expo. His professional activities emphasize the integration of BIM and 3D technologies into infrastructure development. Through his involvement in large-scale projects such as the Taihong Yangtze River Bridge and the FAW-Volkswagen Digital Factory, Qin has effectively applied his academic expertise to real-world engineering challenges. His career path reflects a commitment to technological innovation, cross-border collaboration, and the advancement of intelligent infrastructure systems.

Research Interests

Qin Cheng’s research interests center on the integration of advanced digital technologies in civil engineering, with a particular focus on intelligent construction and infrastructure management. He is deeply engaged in developing and applying Building Information Modeling (BIM), 3D laser scanning, and UAV technologies to improve the design, monitoring, and maintenance of civil structures. His work explores how digital tools can optimize construction processes, enhance precision in modeling, and support virtual simulations for pre-assembly. Qin is also interested in reverse modeling techniques for complex structures, smart monitoring of bridges and buildings, and the use of point cloud data in structural analysis. His international collaborations have further shaped his interest in sustainable urban development, where he examines how smart technologies can be leveraged to build resilient, efficient cities. Through projects focused on highway management systems, digital curtain wall design, and large-scale bridge construction, he aims to create innovative solutions that address contemporary challenges in civil engineering. Qin’s research embodies a forward-thinking approach that blends theoretical modeling with practical application, striving to make infrastructure safer, more efficient, and more intelligent through continuous technological advancement.

Research Skills

Qin Cheng possesses a robust set of research skills that enable him to address complex challenges in civil and structural engineering through technological innovation. His core competencies include advanced proficiency in Building Information Modeling (BIM) and 3D laser scanning, which he has used extensively for deformation monitoring, digital pre-assembly, and reverse modeling of both buildings and bridges. He is skilled in UAV route planning and tilt photography for site inspections and large-scale mapping, showcasing his adaptability in remote sensing applications. His hands-on experience with point cloud data processing enables him to conduct accurate structural analysis and digital model construction. Qin is also proficient in integrating BIM with IoT systems for smart bridge management, combining sensor data with digital modeling for real-time infrastructure monitoring. In academic and collaborative environments, he has guided graduate students in technical training and project design, demonstrating strong mentorship capabilities. He is comfortable working across international platforms and has presented his work at major conferences. Qin’s methodological rigor, combined with his technical agility, allows him to innovate across design, monitoring, and operational aspects of civil engineering projects. His ability to apply research techniques to practical scenarios is a key strength in his professional and academic career.

Awards and Honors

Throughout his academic and early research career, Qin Cheng has received several prestigious awards and honors that reflect his dedication, excellence, and potential in the field of civil engineering. During his undergraduate studies, he was consistently recognized with merit-based scholarships, including the National Encouragement Scholarship and first-class and second-class academic scholarships. His excellence continued into his postgraduate years at Chongqing Jiaotong University, where he was awarded the Beijing CCCC Road Tong Million Scholarship and the first-class postgraduate scholarship. In 2020, he won the second prize in the “My College Life” competition and the third prize in the “Transportation BIM Engineering Innovation Award” from the China Highway Society. These accolades highlight both his academic achievements and his contributions to engineering innovation. His participation in various international academic events and his role in large-scale national infrastructure projects further affirm his growing reputation in the field. The consistent recognition of his work through these awards underscores his capability to combine theoretical knowledge with practical engineering excellence. These honors are a testament to his talent, perseverance, and impact in advancing intelligent construction technologies and modern infrastructure development.

Conclusion

In conclusion, Qin Cheng emerges as a highly motivated and capable young researcher with a strong foundation in civil engineering and a clear commitment to technological innovation in infrastructure development. His integration of BIM, 3D laser scanning, and UAV systems into design and monitoring processes showcases his forward-thinking approach and alignment with the needs of smart and sustainable urban construction. With a solid academic background, international experience, and a growing body of research publications, he brings both technical expertise and practical insight to the field. Although he currently holds a master’s degree, his trajectory suggests significant potential for further academic advancement and research leadership. He has demonstrated the ability to bridge academic research with real-world engineering applications, making valuable contributions to both scholarly and professional communities. While increasing publication in top-tier journals and engaging in patent development could further enhance his profile, Qin Cheng has already laid a strong foundation for a successful research career. He is a suitable and deserving candidate for recognition in early-stage researcher or emerging researcher award categories and has the capacity to evolve into a leading expert in smart construction and digital civil engineering in the years ahead.

Publications Top Notes

  1. Title: Automatic Construction of 3D Building Property Rights Model Based on Visual Programming Language in China
    Authors: Qin, Guocheng; Hu, Yuqing; Wang, Ling; Liu, Ke; Hou, Yimei
    Journal: Advances in Civil Engineering
    Year: 2024

Atiqur Rahman | Engineering | Best Researcher Award

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Mr. Atiqur Rahman | Engineering | Best Researcher Award

PhD Researcher from University of Bolton, United Kingdom

Md Atiqur Rahman is a passionate aerospace engineering professional with a rich background in both academia and research. Currently serving as an Engineering Lecturer at Blackpool & The Fylde College in the UK, he also pursues a Ph.D. at the University of Bolton, focusing on sustainable composite materials for aerospace applications. With over nine years of experience in aeronautical education, his expertise spans curriculum development, student mentorship, assessment, and instructional leadership. He has taught at multiple institutions including Preston College, University of Bolton, and Cambrian International College of Aviation. His research is deeply rooted in innovation, particularly in the area of natural fiber-reinforced composites, with a specific emphasis on Borassus flabellifer (palmyra palm) husk fibers. Rahman has published six research articles and actively participates in academic conferences and seminars. Known for his technical abilities and practical knowledge, he integrates tools like Ansys, SolidWorks, and Matlab in both research and teaching. Awarded Best Lecturer in 2022 and a mentor to an award-winning student in 2021, he exemplifies academic dedication. Md Rahman is committed to advancing aerospace engineering through sustainable innovations while nurturing student growth in higher education. His profile reflects a balance of scholarly excellence, practical engineering acumen, and a deep commitment to teaching.

Professional Profile

Education

Md Atiqur Rahman has pursued a solid academic trajectory in aerospace and mechanical engineering. He is currently enrolled in a Ph.D. program at the University of Bolton, United Kingdom, where his research centers on the development of natural fiber-based composite materials for aerospace applications. This research is both timely and impactful, aligning with global movements toward sustainable aviation technology. Concurrently, he completed a Master of Philosophy (MPhil R2) in Mechanical Engineering at the same institution between July 2022 and November 2024, further sharpening his expertise in advanced material science and structural mechanics. His academic foundation began with a Bachelor of Engineering (Honours) degree in Aerospace Engineering from the University of Hertfordshire, UK, which he completed in 2012. The rigorous curriculum provided him with strong fundamentals in aerodynamics, propulsion systems, and aerospace structures. Throughout his educational journey, Md Rahman has consistently demonstrated academic excellence, integrating theory with hands-on research and software simulation. His academic path underscores a clear focus on applied engineering, sustainability, and innovation. This robust combination of qualifications positions him well for continued leadership in both academia and the aerospace research community, particularly in the development and application of bio-composites and eco-friendly engineering solutions.

Professional Experience

Md Atiqur Rahman has accumulated a diverse and extensive professional background in engineering education, spanning over nine years across the UK and Bangladesh. He currently serves as an Engineering Lecturer at Blackpool & The Fylde College, where he teaches and manages students up to Level 6, designs course materials, assesses learners, and supports curriculum alignment with Lancaster University and employer standards. Previously, he worked at Preston College, teaching aeronautical engineering to students in BTEC Pearson, City & Guilds, and EAL programs. At the University of Bolton, he served as a variable-hours lecturer, contributing to module delivery, exam preparation, and student guidance. In Bangladesh, Rahman held academic and leadership roles at Cambrian International College of Aviation and United College of Aviation, Science & Management. At Cambrian, he also acted as Internal Quality Assurer (IQA), leading BTEC curriculum development and internal training for faculty. Across all institutions, he has shown excellence in teaching, curriculum design, academic support, and student engagement. His ability to adapt his instruction based on learner capabilities has significantly enhanced academic outcomes. Rahman’s teaching is enriched by his research pursuits and practical skills, creating a well-rounded, impactful educational approach that bridges theory, practice, and innovation.

Research Interests

Md Atiqur Rahman’s research interests are centered around sustainable and advanced materials for aerospace applications. His current Ph.D. work at the University of Bolton explores the development and characterization of natural fiber-reinforced polymer composites, with a particular focus on Borassus flabellifer (palmyra palm) husk fibers. He investigates their physical, thermal, mechanical, and dynamic properties to evaluate their viability as lightweight, eco-friendly alternatives to traditional aerospace materials. His broader research interest encompasses aerodynamics, structural mechanics, hypersonic flight technologies, and bio-composite development. By aligning material science with aerospace engineering, Rahman seeks to address the increasing demand for sustainability in aviation. He is particularly drawn to the lifecycle assessment of natural fibers and their transformation through alkali treatments, aiming to enhance their bonding, thermal stability, and mechanical resilience. His work has practical implications for aircraft manufacturing, structural component design, and green engineering practices. He also maintains an interest in the pedagogical methods for engineering education and how research can be translated into real-world classroom application. This multi-dimensional research approach not only contributes to the scientific community but also supports the global push for environmentally responsible aerospace solutions through academic innovation and practical application.

Research Skills

Md Atiqur Rahman possesses a well-rounded and technically proficient set of research skills that support his specialization in material science and aerospace engineering. He is highly skilled in experimental research methodologies, particularly in characterizing bio-composite materials. His hands-on expertise includes the use of advanced lab instruments such as TA Instruments (TGA, DSC, DMA) for thermal analysis, Instron for tensile and flexural testing, and FTIR spectroscopy for chemical characterization. He is also proficient in density and water uptake measurements using pycnometers and ovens, and in the preparation of composite materials through hand lay-up techniques. Rahman complements his experimental skills with strong computational abilities, using tools like Ansys for finite element analysis, SolidWorks and Fusion 360 for design modeling, and Matlab for mathematical modeling and simulations. He applies these tools to optimize material properties and validate experimental outcomes. In addition, he demonstrates strong academic writing and data interpretation skills, having authored several scientific articles. His research workflow also reflects a robust understanding of ethics, literature review, statistical analysis, and research dissemination. These combined skills allow him to carry out comprehensive investigations in aerospace material development and communicate findings effectively to both academic and industry audiences.

Awards and Honors

Md Atiqur Rahman has earned notable recognition for his excellence in both teaching and research throughout his academic career. One of his most distinguished accolades is the Best Lecturer Award (2022) from Cambrian International College of Aviation, a testament to his commitment to student engagement, curriculum innovation, and instructional excellence. His mentorship has also yielded impressive results—most notably when one of his students was selected for the BTEC Award (2021) and received the Bronze Certificate for Engineering Learner of the Year, highlighting his ability to inspire and guide learners toward excellence. In addition to institutional recognition, Rahman is affiliated with several prestigious professional bodies, including the Royal Aeronautical Society (RAeS), The Institution of Structural Engineers (IStructE), and the American Society of Civil Engineers (ASCE). His active involvement in these societies, coupled with his participation in high-profile events like the RAeS Aerodynamics Specialist Conference and Government HE Events, showcases his commitment to lifelong learning and professional development. These honors and memberships not only validate his academic contributions but also underscore his rising influence as an educator and researcher in aerospace engineering, particularly in the field of sustainable materials and advanced manufacturing technologies.

Conclusion

Md Atiqur Rahman stands as a dynamic and impactful figure in the realms of aerospace education and research. His journey—from a dedicated lecturer to an innovative Ph.D. researcher—demonstrates a rare blend of academic rigor, teaching excellence, and research innovation. His work on natural fiber-based composites is not only scientifically significant but also timely, addressing pressing environmental challenges within aerospace engineering. With a growing list of publications, conference presentations, and teaching awards, Rahman has established himself as a promising academic professional committed to excellence. His ability to bridge the gap between research and education ensures that his findings contribute directly to student learning and industry advancement. His diverse teaching experiences across different academic systems further enhance his instructional agility and global outlook. As he continues to expand his research collaborations, aim for high-impact journals, and pursue research leadership roles, his contributions will undoubtedly strengthen the field of sustainable aviation and engineering education. Md Atiqur Rahman is a deserving candidate for recognition such as the Best Researcher Award, with strong potential for continued academic and research leadership. His trajectory reflects both deep expertise and future promise in advancing environmentally responsible technologies within aerospace engineering.

Publications Top Notes

  1. Title: Palmyra Palm Shell (Borassus flabellifer) Properties Part 2: Insights into Its Thermal and Mechanical Properties
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2024
    Citations: 3

  2. Title: Palmyra Palm Shell (Borassus flabellifer) Properties Part 1: Insights into Its Physical and Chemical Properties
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski
    Year: 2024
    Citations: 3

  3. Title: Effect of Alkali Treatment on Dynamic Mechanical Properties of Borassus Flabellifer Husk Fibre Reinforced Epoxy Composites
    Authors: M.A. Rahman, Mamadou Ndiaye, Bartosz Weclawski, et al.
    Year: 2025
    Citations: 2

  4. Title: Palmyra Palm Shell (Borassus flabellifer) Properties Part 3: Insights into Its Morphological, Chemical and Thermal Properties after Alkali Treatment
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2024
    Citations: 2

  5. Title: Optimizing Borassus Husk Fibre/Epoxy Composites: A Study on Physical, Thermal, Flexural and Dynamic Mechanical Performance
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2025
    Citations: 1

  6. Title: Enhancing Thermal and Dynamic Mechanical Properties of Lignocellulosic Borassus Husk Fibre/Epoxy Composites through Alkali Treatment
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2025