Md. Naimur Rahman | Material Science | Best Researcher Award

Mr. Md. Naimur Rahman | Material Science | Best Researcher Award

Graduate Researcher at Khulna University of Engineering and Technology | Bangladesh

Mr. Md. Naimur Rahman is a physics researcher with expertise in smart material systems, biomedical applications, and nanoferrite synthesis. He earned his B.Sc. in Physics from the University of Barishal and an M.Sc. in Physics from Khulna University of Engineering & Technology (KUET), where his dissertation focused on cobalt-doped manganese-based nanoferrites for biomedical use. Alongside his research, he has teaching and lab experience at KUET and has published in reputed journals, demonstrating both academic excellence and resilience in overcoming resource-limited research environments.

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Education

Mr. Md. Naimur Rahman completed his Bachelor of Science degree in Physics at the University of Barishal, Bangladesh, where he gained a strong foundation in core physics principles. He then pursued a Master of Science degree in Physics at the Solid State Physics Laboratory, Department of Physics, Khulna University of Engineering & Technology (KUET), Bangladesh. Under the supervision of Dr. Md. Alamgir Hossain, he carried out his dissertation on “Synthesis of Cobalt-doped Manganese-based Nano-ferrite Through Chemical Co-precipitation Method for Biomedical Applications”. His academic journey reflects both strong theoretical grounding and practical research expertise in the field of materials science and physics.

Experience

Mr. Md. Naimur Rahman has gained valuable academic and research experience through his role as a Teaching Assistant in the Physics Department at Khulna University of Engineering & Technology (KUET). In this position, he provided instructional support in introductory physics laboratory courses across several engineering departments, helping students develop practical skills and strengthening his own teaching and mentoring abilities. Alongside his teaching duties, he has actively engaged in research, overcoming the limitations of material science research facilities in his country by focusing on detailed data analysis, effective collaboration with peers, and the publication of high-quality scientific papers. His hands-on work in synthesizing cobalt-doped manganese-based nanoferrites for biomedical applications, coupled with his contributions to collaborative projects, highlights his resilience, adaptability, and growing expertise in materials science and applied physics.

Research Interests 

Mr. Md. Naimur Rahman’s research interests lie in the design and development of advanced functional materials with applications across multiple scientific and technological domains. He is particularly focused on smart material systems and stimuli-responsive materials, with potential uses in biomedical engineering, bioprinting, and healthcare. His interests also extend to aerospace and deployable structures, electronics with functional integration, and the development of sustainable and circular manufacturing approaches. He is keen on exploring AI-driven additive manufacturing, textile and wearable technologies, as well as process hybridization and scale-up methods. Through this interdisciplinary focus, he aims to contribute to innovative solutions that address global challenges in science, technology, and sustainability.

Publications

Investigation of annealing temperature effect on structural, morphological, optical, magnetic, and dielectric properties of cobalt-doped manganese ferrites

Cited: 8

Effect of annealing on the structural, morphological, optical, magnetic, and dielectric properties of nickel-doped cobalt nanoferrites for electronic applications

Cited: 3

Investigation of calcination temperature effect on crystallographic, morphological, optical, and magnetic properties of silver-doped magnesium ferrite nanoparticles

Cited: 2

Enhanced superparamagnetism and polarizability via reverse annealing in Mg-doped Co-ferrite: structural, morphological, and optical investigations for biomedical applications

Cited: 1

Conclusion

Mr. Md. Naimur Rahman is a highly suitable candidate for the Research for Best Researcher Award, given his strong academic record, research resilience, and contributions to advanced material systems despite limited resources. His dedication, adaptability, and innovative approach position him as a rising talent with significant potential for future breakthroughs. With expanded international collaborations, deeper experimental engagement, and increased dissemination of his research outcomes, Mr. Rahman is poised to make impactful contributions to physics, materials science, and interdisciplinary innovation.

Mr. Peter Adeyemo | Materials science | Young Scientist Award

Mr. Peter Adeyemo | Materials science | Young Scientist Award

Mr. Peter Adeyemo, Federal University of Agriculture, Abeokuta, Nigeria

Peter Adeyemo 🎓 is an accomplished physicist from the Federal University of Agriculture, Abeokuta (FUNAAB), Nigeria. With a Bachelor of Science in Physics, he graduated with distinction, earning a top rank in his class. His research interests lie in experimental condensed matter physics, quantum materials science, and quantum information science. Peter has contributed significantly to computational modeling and machine learning, specifically in predicting phase transitions in the Ising model. In addition to his research, he has a strong background in teaching, software engineering, and leadership, making him a well-rounded academic and researcher. 🌟🔬

Professional Profile:

Scopus

Suitability for the Young Scientist Award

Peter Adeyemo is an excellent candidate for the Young Scientist Award due to his outstanding academic achievements, innovative research, and contributions to computational and experimental physics.

Education and Experience

🎓 Education

  • B.Sc. in Physics, Federal University Of Agriculture, Abeokuta (FUNAAB), Nigeria (April 2019 – December 2023)
    • GPA: 4.72/5.00, Class Rank: 2/110
    • Thesis: Machine Learning-assisted prediction of phase transitions in two-dimensional Ising model.

💼 Experience

  • Graduate Research Assistant, Dr. P.O Adebambo’s group, FUNAAB (March 2024 – Present)
  • Graduate Research Assistant, Prof. A.O Mustapha’s group, FUNAAB (March 2023 – November 2023)
  • Graduate Research Assistant, Dr. S.A Ganiyu’s group, FUNAAB (March 2024 – Present)
  • Tutor, Deeper Life Campus Fellowship, FUNAAB (2021–2023)
  • Software Engineering Intern, TedPrime Hub, Abeokuta (March 2022–September 2022)

Professional Development

Peter Adeyemo 💡 is an emerging scholar who has quickly developed expertise in quantum materials science and machine learning. His graduate research assistantships at FUNAAB have allowed him to explore computational physics, working with algorithms to predict phase transitions. In addition, his internship at TedPrime Hub provided hands-on experience in software engineering, where he led the development of a computer-based testing application. His teaching experience further bolstered his academic profile, guiding students in physics and calculus. Peter continues to advance his career with certifications in cloud computing and deep learning. 🌍🧠

Research Focus

Peter Adeyemo’s research focuses on experimental condensed matter physics 🧪, with particular emphasis on quantum materials science and quantum information science. He is dedicated to utilizing machine learning algorithms and computational techniques to study phase transitions in systems like the Ising model. His work in quantum materials includes understanding electronic and thermoelectric properties of novel materials, often using first-principles calculations. Additionally, Peter applies computational tools like Quantum Espresso and deep learning frameworks to predict material behaviors, pushing the boundaries of both materials science and quantum computing. 🌌🖥️

Awards and Honors

🏅 Petroleum Development Funds In-country Scholar: Awarded to top-tier STEM students in Nigeria (February 2023)
🥇 First Runner-up: Inter-varsity Physics Contest, University of Ibadan (September 2021)
🎓 Best Student: Electromagnetism, X-ray Crystallography, Structural Analysis, Classical Mechanics, Nuclear Physics (December 2023)
🏆 Dean’s Honor Award: Outstanding academic performance (2021–2023)
🎖 Senate Prize: First Class Honours Award (December 2023)

Publication Top Notes:

  • 📜 Structural, Electronic and Thermoelectric Properties of NiScBi and PdScBi Half-Heusler Alloys from First Principles
  • 📜 Influence of Substrate Temperature and Deposition Time in Energy Band Gap Characteristic of Lead Sulfide Thin Film  – Cited by: 1 📉