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 πŸŽ“ 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. πŸŒŸπŸ”¬

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

πŸŽ“ 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.

πŸ’Ό 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 πŸ’‘ 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 πŸ§ͺ, 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. 🌌πŸ–₯️

Awards and Honors

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

Publication Top Notes:

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

 

 

Ms. Arni Gesselle Pornea | Materials | Best Researcher Award

Ms. Arni Gesselle Pornea | Materials | Best Researcher Award

Ms. Arni Gesselle Pornea, Naieel Technology, Philippines

Arni Gesselle Pornea is a skilled senior researcher at Naieel Technology in Daejeon, South Korea. With a Ph.D. in Energy Science and Technology from Myongji University, he specializes in materials design for renewable energy applications, particularly in thermal management and energy conversion. Arni’s research includes the development of phase-changing materials, advanced composites, and energy storage technologies. He has authored multiple publications and holds patents in thermal interface materials and solar energy harvesting. With his diverse expertise, Arni is passionate about improving energy systems and contributing to sustainable energy innovations. πŸŒπŸ’‘πŸ”¬

Professional Profile:

Orcid

Summary of Suitability for Best Researcher Award

Arni Gesselle Pornea is a highly qualified candidate for the Best Researcher Award due to his innovative contributions to renewable energy and materials science. His research focuses on the design of advanced materials for energy storage and thermal management, particularly for applications in solar energy and phase-change materials. Arni’s work directly addresses the global need for more sustainable and efficient energy systems, making him a key figure in the field of energy science and technology.

Education & Experience:

  • Ph.D. in Energy Science and Technology, Myongji University, South Korea (2022) πŸŽ“
    • Dissertation: Solar-mediated phase-changing materials for energy storage and conversion.
  • M.S. in Energy Science and Technology, Myongji University, South Korea (2019) πŸŽ“
    • Dissertation: Multifunctional wax-infused porous films with anti-corrosion properties.
  • B.S. in Chemical Engineering, Adamson University, Philippines (2013) πŸŽ“
  • Senior Researcher, Naieel Technology, Daejeon, South Korea (2022–present) πŸ”¬
  • Graduate Research Assistant, Myongji University, South Korea (2017–2022) πŸ”¬
  • Improvement Engineer, Western Digital, Philippines (2015–2017) 🏭
  • Quality Assurance Engineer, Black Water Printing, Philippines (2014–2015) πŸ–¨

Professional Development:

Arni is dedicated to professional growth through various certifications, training, and continuous learning. He has completed Lean Six Sigma Yellow Belt certification (2020) for process improvement and Potential Failure Mode and Effects Analysis (FMEA) (2016) for risk management. Additionally, Arni received Basic Leadership Training (2015) to enhance his leadership skills. His work is complemented by extensive experience in data analysis using software like MATLAB, COMSOL, and ANSYS, ensuring optimal material performance for energy systems. πŸ“ˆπŸ”§πŸ“š

Research Focus:

Arni’s research focuses on the design and development of advanced materials for renewable energy systems. His work emphasizes the synthesis of high-performance composites, thermal management, and solar energy harvesting. His expertise includes the creation of phase-change materials (PCMs) for efficient solar energy storage and the optimization of thermal conductivity in composite materials for electronics. Arni is passionate about using materials science to improve energy conversion efficiency, focusing on sustainability and innovation in renewable energy technologies. πŸŒžπŸ”‹βš‘

Awards & Honors:

  • Research Honor Award, Myongji University, South Korea (2022) πŸ…
  • Best Oral Presentation, KSIEC, South Korea (2021) πŸ†
  • Lean Six Sigma Yellow Belt Certification, Ask Lex PH Academy, Philippines (2020) πŸ“œ
  • Potential Failure Mode and Effects Analysis (FMEA), Western Digital, Philippines (2016) πŸ”§
  • Basic Leadership Training, BusinessCoach, Inc., Philippines (2015) πŸ“š

Publication Top Notes:

Protruding Boron Nitride Nanotubes on the Al2O3 Surface Enabled by Tannic Acid-Assisted Modification to Fabricate a Thermal Conductive Epoxy/Al2O3 Composite

Boron Nitride Nanotube-Aligned Electrospun PVDF Nanofiber-Based Composite Films Applicable to Wearable Piezoelectric Sensors

Preparations and Thermal Properties of PDMS-AlN-Al2O3 Composites through the Incorporation of Poly(Catechol-Amine)-Modified Boron Nitride Nanotubes

Core-satellite assembly of phase-changing material microcapsules enabled with broadband light absorption and localized surface plasmonic resonance for effective photothermal energy harvesting

Synthesis of hybrid dual-MOF encapsulated phase-changing material for improved broadband light absorption and photothermal conversion enabling efficient solar energy storage