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 📉