Andy Anderson Bery | Machine Learning in Physics | Best Researcher Award

Assoc. Prof. Dr. Andy Anderson Bery | Machine Learning in Physics | Best Researcher Award

University Lecturer, Universiti Sains Malaysia, Malaysia

Associate Professor Dr. Andy Anderson Anak Bery is an accomplished geophysicist and academic at Universiti Sains Malaysia (USM). With deep expertise in Geostatistics, Solid Earth Geophysics, and Machine Learning-based Predictive Analytics, Dr. Bery has authored over 70 indexed publications and contributed to multiple national and international research initiatives. Since joining academia in 2016, he has consistently merged scientific rigor with applied solutions, especially in environmental and subsurface characterization. His work not only pushes the boundaries of applied geophysics but also inspires a new generation of scholars in data-driven geoscience research.

👨‍🎓Profile

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📚 Early Academic Pursuits

Dr. Bery’s academic foundation was laid at Universiti Sains Malaysia (USM), where he earned his Bachelor’s, Master’s, and PhD degrees in Geophysics. His early focus was on exploration geophysics, particularly using seismic and resistivity techniques for subsurface imaging. These formative years cemented his interest in integrating mathematical models with geophysical datasets to address complex environmental and engineering challenges. His academic journey reflects a consistent trajectory of excellence, commitment, and specialization in earth sciences making him a strong contributor to Malaysia’s geoscience research capacity.

👨‍💼 Professional Endeavors

Since becoming a lecturer at the School of Physics, USM in 2016, Dr. Bery has been entrusted with teaching and mentoring at both undergraduate and postgraduate levels. His professional pursuits involve leading research teams, serving as a journal reviewer, and collaborating with industry partners on national and international site investigations. He has successfully secured 18 research grants (including 3 international), underscoring his leadership in applied research. His work frequently bridges academic theory with real-world utility, making him a sought-after expert in subsurface characterization and environmental geophysics.

🔬 Contributions and Research Focus

Dr. Bery’s primary contributions lie in geophysical modeling, machine learning for subsurface analysis, and site investigations. He explores both practical field applications and mathematical frameworks to improve environmental monitoring and hydrocarbon exploration. He is particularly noted for his work in seismic attribute transformation, multi-modal data integration, and probabilistic neural networks. Dr. Bery’s research not only contributes to geophysics but also intersects with data science, setting new standards for how geophysical data is interpreted using modern analytical tools.

🌍 Impact and Influence

With an h-index of 11 and 346 citations on Scopus, Dr. Bery’s research has made significant academic and practical impact in applied geosciences. His methodologies have been adopted in several national-scale environmental assessments and mineral exploration initiatives. He collaborates with researchers across Asia, Africa, and Oceania, enhancing international knowledge exchange. As a reviewer for top-tier journals, he influences scholarly directions in his field. His ability to bridge research, education, and industry continues to elevate his reputation within and beyond Malaysia.

đź“– Academic Citations

Dr. Bery’s work is widely cited in areas such as geotechnical investigations, subsurface mapping, and environmental risk assessment. His most cited work, “Correlation of seismic P-wave velocities with engineering parameters”, has received 126 citations, demonstrating its foundational role in linking seismic data with engineering applications. His citations stem from the relevance of his work in engineering geology, mineral exploration, and machine learning in geophysics. His publications serve as reference points for researchers working on resistivity imaging, seismic inversion, and hydrogeological surveys globally.

đź§Ş Research Skills

Dr. Bery possesses a diverse set of research competencies, including geostatistical modeling, seismic tomography, electrical resistivity tomography (ERT), and data-driven predictive analytics. He is proficient in applying regression modeling, machine learning algorithms, and probabilistic analysis to interpret complex geophysical data. His skill in multi-attribute integration allows for high-resolution analysis in both engineering and environmental geophysics. Dr. Bery’s ability to blend field-based methodologies with advanced computational models distinguishes him as a versatile and innovative geoscientist.

👨‍🏫 Teaching Experience

Dr. Bery has played a vital role in teaching Mathematics and Geophysics at USM since 2016. He is deeply involved in developing course materials, guiding postgraduate thesis supervision, and mentoring early-career researchers. His teaching emphasizes practical applications, often integrating fieldwork data and industry-standard software tools. Known for his structured approach and student-centered methods, Dr. Bery fosters critical thinking and research-driven learning. His role extends beyond classrooms, where he actively encourages students to participate in international conferences and publishing.

🚀 Legacy and Future Contributions

Dr. Bery’s legacy lies in his ability to unify traditional geophysics with modern computational tools to address pressing environmental and engineering challenges. He has laid a strong foundation in machine learning-driven geophysical modeling, and his work will likely inspire future frameworks in AI-assisted earth sciences. He continues to build capacity through cross-border collaborations and academic mentorship, ensuring a lasting impact. As environmental challenges grow more complex, Dr. Bery’s contributions will be critical in shaping sustainable geophysical solutions for the future.

Publications Top Notes

đź“„Magnetic-Assisted Radiometric, Speciation, and Environmental Studies of an Orogenic Gold Terrain: Okpella, Igarra Schist Belt, SW Nigeria
  • Authors: Adedibu Sunny Akingboye, Andy Anderson Bery, Abimbola Chris Ogunyele, Mbuotidem David Dick, Temitayo Olamide Ale, Emmanuel Adebayo Titus

  • Journal: Earth Systems and Environment

  • Year: 2025

đź“„Subsurface Lithological Characterization Via Machine Learning-assisted Electrical Resistivity and SPT-N Modeling: A Case Study from Sabah, Malaysia
  • Authors: Mbuotidem David Dick, Andy Anderson Bery, Adedibu Sunny Akingboye, Kufre Richard Ekanem, Erukaa Moses, Sanju Purohit

  • Journal: Earth Systems and Environment

  • Year: 2024

đź“„ Integrated Geophysical Investigation using Aero-radiometric and Electrical Methods for Potential Gold mineralization within Yauri/Zuru Schist Belts, Kebbi State NW Nigeria
  • Authors: Abdulrahaman Idris Augie, Kazeem Adeyinka Salako, Andy Anderson Bery, Adewuyi Abdulwaheed Rafiu, Mufutau Owolabi Jimoh

  • Journal: Earth Sciences Research Journal

  • Year: 2024

📄 Surface–Subsurface Characterization via Interfaced Geophysical–Geotechnical and Optimized Regression Modeling
  • Authors: Adedibu Sunny Akingboye, Andy Anderson Bery, Muslim Babatunde Aminu, Mbuotidem David Dick, Gabriel Abraham Bala, Temitayo Olamide Ale

  • Journal: Modeling Earth Systems and Environment

  • Year: 2024

đź“„A Novel Machine Learning Approach for Interpolating Seismic Velocity and Electrical Resistivity Models for Early-Stage Soil-Rock Assessment
  • Authors: Mbuotidem David Dick, Andy Anderson Bery, Nsidibe Ndarake Okonna, Kufre Richard Ekanem, Yasir Bashir, Adedibu Sunny Akingboye

  • Journal: Earth Science Informatics

  • Year: 2024

 

 

Lindobuhle Miya | Data Analysis Techniques | Best Researcher Award

Mr. Lindobuhle Miya | Data Analysis Techniques | Best Researcher Award

PhD student at University of Johannesburg, South Africa

Lindobuhle Alfred Miya is a modest and daring young researcher with a strong background in chemistry, physics, and nanoscience. He is currently pursuing a Doctor of Philosophy in Chemistry at the University of Johannesburg, focusing on improving supercapacitor performance through his research on cobalt-based materials. With a passion for renewable energy, Lindobuhle’s research aims to contribute to the development of high-performance energy storage systems. His previous studies at the University of the Free State involved in-depth research on rare-earth doped zinc selenide for light-emitting materials. Along with his academic work, he has demonstrated leadership in peer facilitation and mentorship. Lindobuhle is eager to make a significant impact in the scientific community through publications and presentations, with aspirations to advance his career through collaborative efforts in a fast-paced environment.

👨‍🎓Profile

🎓Education 

Lindobuhle Alfred Miya’s academic journey began with a Bachelor of Science in Chemistry and Physics from the University of the Free State, where he developed a strong foundation in scientific principles. He continued his education with a Master’s in Nanoscience (2020-2023), researching rare-earth doped zinc selenide for light-emitting materials. His work employed advanced characterization techniques such as X-ray diffraction, scanning electron microscopy, and photoluminescence spectroscopy, leading to significant discoveries regarding the luminescence efficiency of doped materials. Currently, he is working toward his PhD in Chemistry at the University of Johannesburg, where his research is focused on enhancing supercapacitor performance through cobalt-based materials. Using modern electrochemical techniques, Lindobuhle is exploring energy storage applications with a specific focus on cycling stability and rate capability. His educational pursuits reflect his dedication to pushing the boundaries of materials science and energy storage technologies.

💼Professional Experience 

Lindobuhle Alfred Miya has gained valuable experience through various academic and mentorship roles. He served as a Peer Facilitator at the University of the Free State from 2019 to 2021, where he assisted students with supplemental instruction, learning facilitation, and assessment development. This role enhanced his leadership and communication skills, fostering his ability to guide peers effectively. Lindobuhle is currently engaging in Peer Mentorship at the University of Johannesburg, where he provides guidance and emotional support to his mentees, sharing his research experiences and encouraging the development of professional networks. These roles have helped him refine his ability to foster student engagement, while promoting self-sufficiency among mentees. His involvement in both peer learning and mentorship has provided him with a unique perspective on fostering collaboration and teamwork, crucial aspects of his research career as he continues to evolve in a fast-paced scientific environment.

🏅Awards and Honors 

Lindobuhle Alfred Miya has been recognized for his excellence in both research and academic pursuits. He earned a Scholarship at the University of the Free State for his outstanding work in Nanoscience, which helped propel him into more advanced studies. His achievements in research were also highlighted at the Research Conference 2022, where he discussed innovation and the use of research to improve humanity. Lindobuhle’s academic accomplishments also extend to his athletic achievements, including his Eastern Free State Cross Country Championship win in 2016. He has received commendations for his contributions to scientific research and is recognized for his commitment to improving energy storage technologies. His work on ZnSe doped with Yb3+ has been widely published, including in the Materials Today Communications journal. Lindobuhle’s awards underscore his dedication to both his academic growth and his contributions to society through research.

🔬Research Focus 

Lindobuhle Alfred Miya’s primary research focus is on enhancing the performance of supercapacitors through the development of cobalt-based materials for energy storage applications. His current research at the University of Johannesburg explores various synthesis methods, including solid-state reactions, hydrothermal synthesis, and wet chemical processes, to improve the electrochemical properties of these materials. Using advanced electrochemical techniques such as cyclic voltammetry, galvanostatic charge-discharge testing, and electrical impedance spectroscopy, Lindobuhle is assessing critical performance parameters, including specific capacitance, cycling stability, and rate capability. His work is pivotal in the development of high-performance energy storage devices, contributing to renewable energy applications. Additionally, his previous research in nanoscience focused on rare-earth doped ZnSe, where he investigated its potential for optoelectronic applications. Lindobuhle’s research is deeply aligned with the growing demand for advanced materials in both energy storage and optical technologies.

🧠Research Skills 

Lindobuhle Alfred Miya possesses a diverse set of research skills crucial for his studies in materials science and energy storage. He has gained expertise in various synthesis methods such as solid-state reactions, hydrothermal synthesis, and wet chemical processes to develop and enhance the properties of cobalt-based materials for supercapacitors. His technical skills extend to advanced characterization techniques, including X-ray diffraction, Transmission Electron Microscopy (TEM), Fourier-transform infrared spectroscopy (FTIR), Raman spectroscopy, and X-ray photoelectron spectroscopy (XPS). Lindobuhle is proficient in using electrochemical testing techniques, including cyclic voltammetry and galvanostatic charge-discharge testing, to evaluate the performance of energy storage devices. His ability to assess structural, morphological, and optical properties of materials is further enhanced by his strong foundation in critical thinking, problem-solving, and analytical skills. These research skills are integral to his ability to conduct high-quality research in nanoscience and energy storage technologies.

Publications Top Notes

Structure and optical properties of Er3+ doped ZnSe nanoparticles

  • Authors: L.A. Miya, L.F. Koao, S.V. Motloung, D.D. Hile, H.C. Swart, T.E. Motaung
    Journal: Optical Materials
    Year: 2024

Study of the structural, morphological and optical properties of ZnSe doped with Yb3+

  • Authors: L.A. Miya, S.V. Motloung, T.E. Motaung, H.C. Swart, D.D. Hile, L.F. Koao
    Journal: Materials Today Communications
    Year: 2022