Mohammad Raza Miah | Materials Science | Best Researcher Award

Published on by New Scientists

Assist. Prof. Dr. Mohammad Raza Miah | Materials Science | Best Researcher Award

Assistant Professor | Department of Textile Engineering, BGMEA University of Fashion and Technology (BUFT) | Bangladesh

Assist. Prof. Dr. Mohammad Raza Miah is a distinguished academic and researcher in the field of materials physics, chemistry, and textile engineering. He has built a strong reputation for his expertise in sustainable polymeric nanocomposites, high-performance materials and textile innovation. His academic journey has been shaped by international experiences across Bangladesh and China, where he pursued advanced degrees in prestigious institutions under English-taught programs. He has served in various academic roles, progressively advancing from lecturer to senior lecturer, visiting assistant professor and currently as an assistant professor in the Department of Textile Engineering at BGMEA University of Fashion & Technology. His work integrates teaching excellence with a strong research focus, particularly in the development and characterization of bio-based polymeric materials. In addition to his teaching responsibilities, Assist. Prof. Dr. Mohammad Raza Miah is an active contributor to international scientific conferences, workshops and collaborative research projects. He has received multiple awards for academic excellence, international recognition and research contributions, reflecting his dedication to scholarly impact. His professional memberships in engineering and textile organizations further demonstrate his commitment to advancing the field. Passionate about innovation, sustainability and scientific problem-solving, Assist. Prof. Dr. Mohammad Raza Miah work continues to bridge fundamental materials science with industrial applications in textiles and polymers.

Publication Profile

Scopus

Orcid

Google Scholar

Education

Assist. Prof. Dr. Mohammad Raza Miah’s educational foundation reflects a strong interdisciplinary blend of materials science, chemistry and textile engineering. He earned his Doctor of Philosophy in Materials Physics and Chemistry from the University of Chinese Academy of Sciences, hosted at the Ningbo Institute of Materials Technology and Engineering, where his research centered on sustainable polyester nanocomposites derived from renewable resources. His doctoral thesis explored the preparation, structural analysis, and property relationships of 2,5-FDCA-based polyester nanocomposites, focusing on environmentally friendly material innovations. Prior to this, he completed a Master’s degree in Textile Engineering at Wuhan Textile University, gaining advanced expertise in fiber science, material processing and applied textile technology. His academic career began with a Bachelor’s degree in Textile Engineering from Atish Dipankar University of Science and Technology in Bangladesh, where he developed foundational knowledge in yarn manufacturing, fabric design, dyeing and finishing processes. All of his degree programs were delivered in English, providing him with strong communication skills in international academic settings. His educational background not only equips him with a broad technical understanding but also enables him to conduct interdisciplinary research that connects materials chemistry with practical textile applications, bridging scientific discovery with industrial relevance.

Professional Experience

Assist. Prof. Dr. Mohammad Raza Miah’s professional career is marked by progressive roles in academia, where he has combined teaching excellence with impactful research contributions. He currently serves as an Assistant Professor in the Department of Textile Engineering at BGMEA University of Fashion & Technology, where he teaches core textile courses, supervises research projects, and contributes to departmental development. Before attaining his current position, he served as a Visiting Assistant Professor at the same institution, as well as at Narsingdi Textile Engineering College, affiliated with the Bangladesh University of Textiles. These positions allowed him to engage with a diverse student body, deliver specialized lectures, and integrate industrial case studies into academic instruction. He has also held roles as Senior Lecturer and Lecturer in the Department of Textile Engineering at Bangladesh University of Business & Technology, where he developed new teaching materials, mentored student research, and collaborated with colleagues on curriculum improvement. Across all positions, his responsibilities have included laboratory instruction, research project supervision, academic advising, and participation in institutional committees. His professional journey reflects dedication to advancing textile education, fostering innovation in polymeric and composite materials and nurturing the next generation of engineers through research-driven teaching methodologies.

Research Interest

Assist. Prof. Dr. Mohammad Raza Miah’s research interests lie at the intersection of materials chemistry, polymer science, and textile engineering, with a strong emphasis on sustainability and advanced material functionality. He focuses on the design, synthesis and characterization of bio-based polymeric nanocomposites, particularly those derived from renewable resources such as 2,5-furandicarboxylic acid (FDCA). His work investigates the structural, thermal and mechanical properties of sustainable polyesters and their reinforcement with nanomaterials to enhance performance for various applications. In the field of textiles, his research explores natural dye extraction from botanical sources, eco-friendly coloration processes and integration of functional coatings to improve fabric properties. He is also interested in the synthesis and application of high-performance polymers, two-dimensional (2D) materials, and hybrid composites for advanced engineering applications. His approach combines experimental fabrication with advanced characterization techniques, including NMR, XRD, SEM, FT-IR, TEM, DSC, TGA and Raman spectroscopy. Through his research, Assist. Prof. Dr. Mohammad Raza Miah aims to contribute to the global transition towards greener materials, reduced environmental impact and innovative textile products with multifunctional properties. His work not only addresses industrial challenges but also aligns with global sustainability goals, promoting resource-efficient manufacturing and circular economy principles within the polymer and textile sectors.

Research Skills

Assist. Prof. Dr. Mohammad Raza Miah possesses a comprehensive set of research skills spanning materials fabrication, polymer chemistry, nanotechnology and textile science. He is proficient in the synthesis of bio-based polymers, preparation of nanocomposites, and processing of textile materials for functional performance. His expertise covers a wide range of advanced characterization techniques, including nuclear magnetic resonance (NMR), X-ray diffraction (XRD), scanning and transmission electron microscopy (SEM, TEM, HRTEM), atomic force microscopy (AFM), differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), Raman spectroscopy, X-ray photoelectron spectroscopy (XPS) and energy-dispersive X-ray mapping. He is adept at UV-Vis spectroscopy, spectrophotometry, and surface analysis methods for both polymeric and textile materials. Beyond laboratory instrumentation, he has strong computational skills, including data analysis with Origin Pro, MATLAB and Python, as well as AI-assisted enzyme and material design tools such as Rosetta, RF-Diffusion, and FoldX. He is experienced in scientific writing, project management, and collaborative research, maintaining high-quality standards in experimental design and reporting. His skills also extend to technical drawing, AutoCAD and graphic editing for research visualization. By integrating experimental expertise with computational tools, Assist. Prof. Dr. Mohammad Raza Miah delivers robust research outcomes that advance knowledge and offer industrial applicability in materials and textile engineering.

Awards and Honors

Throughout his academic and professional journey, Assist. Prof. Dr. Mohammad Raza Miah has been recognized for his outstanding performance, leadership and contributions to research and education. He has received prestigious awards for excellence in international graduate studies, acknowledging his high academic standing and impactful research during his doctoral program. His achievements have been celebrated by leading institutions, including the University of Chinese Academy of Sciences and the Ningbo Institute of Materials Technology and Engineering. He has been the recipient of competitive international scholarships and travel grants, enabling him to pursue advanced studies and present his work at global conferences. These include recognition from the Bangladesh-Sweden Trust Fund, the CAS-TWAS President’s Fellowship and institutional scholarships from Wuhan Textile University and Atish Dipankar University of Science and Technology. Such honors reflect his academic dedication, research excellence and ability to represent his institutions at the highest levels. They also demonstrate the global relevance of his work, as he has engaged with international scientific communities through conferences in Asia, Europe and North America. His awards not only acknowledge past accomplishments but also serve as motivation for continued innovation in sustainable materials and advanced textile technologies.

Author Metrics

  • Publications: 32

  • Total Citations: 673+

  • h-index: 14

  • i10-index: 15

(including research papers, review articles, communications, letters, conference proceedings, book chapters, and invited features)

Publications Top Notes

1. Sustainable approach for wastewater treatment using microbial fuel cells and green energy generation–A comprehensive review
Citations: 138
Year: 2021

2. Polypyrrole-based sensors for volatile organic compounds (VOCs) sensing and capturing: A comprehensive review
Citations: 120
Year: 2022

3. Textile-based flexible and printable sensors for next generation uses and their contemporary challenges: A critical review
Citations: 51
Year: 2022

4. Recent Progress on Sustainable 2, 5-Furandicarboxylate-Based Polyesters: Properties and Applications
Citations: 42
Year: 2024

5. A Study on the Effects of Pre-treatment in Dyeing Properties of Cotton Fabric and Impact on the Environment
Citations: 36
Year: 2016

6. Lignin Modification for Enhanced Performance of Polymer Composites
Citations: 33
Year: 2023

7. High‐Strength, High‐Barrier Bio‐Based Polyester Nanocomposite Films by Binary Multiscale Boron Nitride Nanosheets
Citations: 32
Year: 2023

8. High-compact MXene-based coatings by controllable interfacial structures
Citations: 28
Year: 2023

9. Super-anticorrosion epoxy nanocomposites prepared with P-doped carbon dots functionalized large-size boron nitride nanosheets
Citations: 26
Year: 2023

10. Impact of strain on the electronic, phonon, and optical properties of monolayer transition metal dichalcogenides XTe2 (X= Mo and W)
Citations: 26
Year: 2022

Conclusion

Assist. Prof. Dr. Mohammad Raza Miah stands out as an accomplished educator, researcher and innovator in the fields of materials science, polymer chemistry and textile engineering. His career reflects a balance between academic excellence, research productivity and commitment to sustainability. With expertise in bio-based polymeric nanocomposites, high-performance materials, and eco-friendly textile processing, he bridges the gap between fundamental science and industrial application. His advanced research skills, honed through extensive laboratory experience and international collaboration, allow him to contribute meaningfully to global challenges in sustainable manufacturing. His numerous awards and honors underscore his academic leadership and dedication to impactful research. As a member of professional engineering and textile organizations, he remains actively engaged with both academic and industrial communities, fostering collaboration and knowledge exchange. Beyond his professional achievements, Assist. Prof. Dr. Mohammad Raza Miah is passionate about inspiring students, advancing green technologies, and contributing to a future where materials innovation supports environmental stewardship. His academic journey serves as a testament to the value of dedication, interdisciplinary expertise and a vision for a sustainable and technologically advanced textile industry.

 

Yitayal Siyoum | Materials Science | Best Researcher Award

Published on by New Scientists

Mr. Yitayal Siyoum | Materials Science | Best Researcher Award

Lecturer and Researcher at Woldia University, Ethiopia.

Mr. Yitayal Siyoum is a dedicated mechanical engineering lecturer and incinerator engineer with a strong academic foundation and diversified research experience. Known for his analytical thinking, strong problem-solving skills, and commitment to innovation, he has developed a comprehensive background in manufacturing, additive manufacturing, and precision engineering. His career spans both academic and industrial environments, combining theoretical knowledge with practical expertise in materials science, CNC programming, and mechanical systems operation. As a lecturer at Woldia University, he teaches a variety of courses in manufacturing and industrial engineering while actively advising both undergraduate and master’s research projects. He also brings hands-on engineering experience from his work with UNOPS, where he was responsible for plant design, installation, and maintenance. His professional journey reflects a blend of technical excellence, teaching acumen, and research proficiency. With a passion for academic advancement, he is currently pursuing a Ph.D. at the University of Genova, Italy, with a proposed research focus on machine learning-driven modeling of metallic microstructures for energy systems. Mr. Siyoum is a proactive team player, an articulate communicator, and a dependable academician aiming to make meaningful contributions to the global engineering research community.

📝Publication Profile

Scopus

Orcid

🎓Education

Mr. Yitayal Siyoum has pursued a progressive academic trajectory in mechanical and manufacturing engineering. He is currently undertaking a Doctor of Philosophy (Ph.D.) in Mechanical, Energy, and Management Engineering at the University of Genova, Italy (2025–2028). His research is conducted under the Department of Mechanical, Energetics, Management, and Transport Engineering, with a specialization in Processing Technologies and Systems. His proposed research focuses on machine learning–driven modeling of metallic microstructures for energy system state estimation—an interdisciplinary approach combining computational intelligence with advanced materials engineering. Prior to his doctoral studies, Mr. Siyoum completed a Master of Science in Mechanical (Manufacturing) Engineering at Bahir Dar University, Bahir Dar Institute of Technology, Ethiopia, from December 2020 to November 2022. His master’s thesis addressed the microstructural analysis and mechanical property optimization of bio-implant materials, utilizing wire-cut Electrical Discharge Machining (EDM) and Artificial Neural Networks (ANN) enhanced by advanced optimization algorithms including Jaya, Genetic, and Teaching–Learning-Based Algorithms. He also holds a Bachelor of Science in Mechanical (Manufacturing) Engineering from Debre Markos University, Ethiopia, completed in 2018. His academic foundation began with a comprehensive education in Natural Sciences at Shendi Secondary School in Womberma, Ethiopia, completed in 2013. His educational pathway reflects a consistent dedication to technical excellence and applied research.

💼Professional Experience

Mr. Yitayal Siyoum has a dynamic professional career that includes both academic and industrial roles. Since November 2022, he has served as a Lecturer and Researcher at Woldia University, Ethiopia, where he teaches undergraduate and graduate courses in manufacturing and industrial engineering. His teaching portfolio includes courses such as welding, metal forming, manufacturing systems, CAD/CAM/CIM, metrology, and materials handling. He actively supervises thesis work and guides students in project development.

From March 2019 to October 2020, he worked as an Assistant Lecturer at the same institution, providing instructional support in core engineering subjects like Engineering Dynamics and Workshop Practice. Prior to his academic career, Mr. Siyoum worked briefly as a Mechanical Engineer (Incinerator Engineer) at UNOPS, Ethiopia, from January to March 2019. In this role, he focused on the design, installation, and operation of plant machinery, contributing to public health through environmentally safe waste disposal systems.

His career demonstrates a balanced combination of theoretical teaching, laboratory management, and hands-on industrial engineering experience. His deep understanding of mechanical systems, manufacturing practices, and engineering education makes him a valuable contributor to both academia and industry.

🔬Research Interest

Mr. Yitayal Siyoum’s research interests are deeply rooted in advanced manufacturing technologies and engineering optimization. He is particularly focused on additive manufacturing, where he investigates design and fabrication strategies for creating sustainable materials. His work in this area includes the development of composite materials and small-scale 3D printing machines.

In precision manufacturing, he explores the automation of machining systems that function without human intervention while maintaining precise tolerance levels. His research also integrates machine learning algorithms to enhance adaptive machining, welding, and 3D printing processes, particularly for additive manufacturing applications.

Additionally, Mr. Siyoum is interested in the design and management of production processes, including life cycle assessments (LCA), sustainability analysis, and technical-economic feasibility studies for new products. His research extends to industrial quality, safety, and efficient process design, bridging academic theory with real-world applications.

Overall, his multidisciplinary interests aim to advance the field of mechanical engineering by leveraging computational tools, AI, and sustainable technologies. His academic path and project involvement demonstrate a strong commitment to addressing current and future challenges in advanced manufacturing systems.

🛠️Research Skills

Mr. Yitayal Siyoum has cultivated a comprehensive skill set in engineering research, particularly in the areas of manufacturing, materials science, and computational analysis. He is proficient in designing and conducting experimental studies in additive manufacturing, including the optimization of process parameters using machine learning and artificial neural networks (ANN).

He has hands-on experience with microstructure analysis, mechanical property evaluation, and composite material design. Mr. Siyoum also engages in precision machining studies, such as wire-cut EDM, and uses optimization algorithms including Genetic Algorithms, Jaya Algorithm, and Teaching Learning-based Optimization.

In computational and simulation work, he is skilled in tools such as AutoCAD, SolidWorks, Fusion 360, ANSYS, ProCAST, and Deform 3D. His coding experience includes MATLAB, C++, and basic Java, making him capable of modeling physical systems and developing simulation environments.

Moreover, his background in life cycle assessment (LCA), feasibility studies, and quality control gives him an applied perspective on industrial processes. Mr. Siyoum’s ability to plan, schedule, and meet research deadlines, combined with his teaching and supervisory experience, make him an effective researcher and academic collaborator.

🏆Awards and Honors

Mr. Yitayal Siyoum has demonstrated academic excellence throughout his educational journey, earning top marks and distinctions that reflect his diligence and expertise. He completed his Master of Science in Mechanical (Manufacturing) Engineering with an outstanding GPA of 3.92 out of 4.00 at Bahir Dar University. His high academic achievement is further evidenced by his Bachelor’s degree performance at Debre Markos University, where he graduated with a GPA of 3.59.

During his undergraduate and postgraduate studies, he actively participated in academic clubs, such as the Mechanical Engineering Club, and provided voluntary teaching assistance to community high school and preparatory students in mathematics and physics. He was also involved in mentoring junior university students in programming and technical drawing.

Mr. Siyoum has received recognition for his leadership, mentorship, and contribution to university-level applied research projects. His work in engineering education and hands-on internships has earned him commendations from colleagues and supervisors alike. These accolades reflect his strong moral character, commitment to service, and consistent pursuit of academic and professional excellence.

📈Author Metrics

  • Total Documents Published: 4

  • Total Citations: 3 (cited by 3 documents)

  • h-index: 1 (The h-index of 1 indicates that at least 1 of the author’s publications has been cited at least once).

📌Publications Top Notes

1. A review of current research and prospects of fused deposition modelling: application, materials, performance, process variables, parameter optimization, and numerical study

  • Authors: Yitayal Belew Siyoum, Fikir Gashaw Kindie & Mebratu Assefa Gebeyehu

  • Year: 2025 

  • Journal: International Journal of Advanced Manufacturing Technology

  • Citation: Siyoum Y. B., Kindie F. G., & Gebeyehu M. A. (2025). A review of current research and prospects of fused deposition modelling: application, materials, performance, process variables, parameter optimization, and numerical study. Int J Adv Manuf Technol, 138, 1675–1711.

2. Parameter optimization for enhancing mechanical properties of wood‑plastic composites using artificial neural network with genetic algorithm and Taguchi method

  • Authors: Teshager Awoke Yeshiwas, Yitayal Belew Siyoum, Atalay Bayable Tiruneh & Tantigegn Kassahun Adamu

  • Year: 2025

  • Journal: Wood Materials Science & Engineering

  • Citation: Yeshiwas T. A., Siyoum Y. B., Tiruneh A. B., & Adamu T. K. (2025). Parameter optimization for enhancing mechanical properties of wood‑plastic composites using artificial neural network with genetic algorithm and Taguchi method. Wood Mater Sci Eng.

3. Comparative optimization of wire‑cut EDM parameter for enhancing surface finish and machining time on stainless steel: a machine learning, genetic algorithms, teaching–learning based optimization, and multi-objective Jaya approach

  • Authors: Yitayal Belew Siyoum, Fikir Gashaw Kindie, Mebratu Assefa Gebeyehu, Sewale Enyew Chanie, Teshager Awoke Yeshiwas & Yilkal Azene Zelalem

  • Year: 2025

  • Journal: International Journal of Advanced Manufacturing Technology

  • Citation: Siyoum Y. B., Kindie F. G., Gebeyehu M. A., Chanie S. E., Yeshiwas T. A., & Zelalem Y. A. (2025). Comparative optimization of wire‑cut EDM parameter for enhancing surface finish and machining time on stainless steel: a machine learning, genetic algorithms, teaching–learning‑based optimization, and multi-objective Jaya approach. Int J Adv Manuf Technol, 137, 5339–5362.

4. Optimization of wire‑cut EDM parameters using artificial neural network and genetic algorithm for enhancing surface finish and material removal rate of charging handlebar machining from mild steel AISI 1020

  • Authors: Sewale Enyew Chanie, Teshome Mulatie Bogale & Yitayal Belew Siyoum

  • Year: 2025 

  • Journal: International Journal of Advanced Manufacturing Technology

  • Citation: Chanie S. E., Bogale T. M., & Siyoum Y. B. (2025). Optimization of wire‑cut EDM parameters using artificial neural network and genetic algorithm for enhancing surface finish and material removal rate of charging handlebar machining from mild steel AISI 1020. Int J Adv Manuf Technol, 136, 3505–3523.

🧾Conclusion

Mr. Yitayal Siyoum stands out as a committed academician and researcher whose work bridges theoretical knowledge with practical innovation. His background in mechanical engineering—spanning additive manufacturing, precision machining, and machine learning—reflects a passion for addressing industrial and societal challenges through advanced technologies. As a lecturer, he excels in mentoring students and translating complex concepts into real-world applications. His research focus on sustainable material design and intelligent manufacturing systems positions him at the forefront of engineering advancement. Currently pursuing a Ph.D. at the University of Genova, he aims to deepen his understanding of metallic microstructures and energy systems through machine learning. His academic drive, collaborative spirit, and diverse skill set make him a strong candidate for research teams, academic collaborations, and interdisciplinary initiatives. Mr. Siyoum’s unwavering commitment to learning, innovation, and professional growth underscores his goal to contribute meaningfully to the engineering field and to society at large.