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

Published on by High Energy Physics

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

Google scholar

Scopus

ORCID

📚 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.

📖 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.

🧪 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

📄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

📄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

📄 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

📄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

 

 

ROHIT YADAV | Computational Particle Physics | Best Researcher Award

Published on by High Energy Physics

Mr. ROHIT YADAV | Computational Particle Physics | Best Researcher Award

Scientific Officer at BHABHA ATOMIC RESEARCH CENTRE | India

Rohit Yadav is a Scientific Officer at the Radiological Physics and Advisory Division of the Bhabha Atomic Research Centre (BARC), India. With a strong foundation in Physics and advanced specialization in radiation dosimetry, he contributes to national radiation safety and simulation-based research using Monte Carlo methods. His work bridges academic rigor with practical impact in radiation protection and cosmic ray shielding.

👨‍🎓Profile

Scopus

ORCID

🎓 Early Academic Pursuits

Rohit began his academic journey with a B.Sc. (Honors) in Physics from the prestigious Hansraj College, University of Delhi, and went on to earn his M.Sc. in Physics from the Indian Institute of Technology (IIT) Roorkee. This elite academic training laid the groundwork for his scientific career in applied radiation physics and simulation technologies.

🧑‍💼 Professional Endeavors

As a Scientific Officer at BARC, Mumbai, Rohit plays a pivotal role in radiological safety, with responsibilities encompassing radiation measurement, dosimetry, and protection standards. His expertise is central to public safety, particularly in scenarios involving space radiation, nuclear facilities, and retrospective environmental dose assessments.

🔬 Contributions and Research Focus

Rohit’s research centers on Monte Carlo simulations (FLUKA, GEANT4), thermoluminescent dosimeters (TLDs), cosmic ray shielding, and dose monitoring. His peer-reviewed work includes TLD response analysis, aluminum shielding effectiveness, beta dose estimation via CWOSL, and personal dose equivalent measurements. These contributions have significantly enhanced applied dosimetric methods and advanced radiation protection techniques, making his work impactful for both theoretical modeling and practical implementation in high-radiation environments.

🌍 Impact and Influence

His work has direct implications for national safety in nuclear and space sectors. By improving simulation techniques and phantom modeling, he enhances dosimetric accuracy, which benefits occupational health, environmental radiation monitoring, and cosmic radiation protectionan essential area for aerospace and defense.

🧪 Research Skills

Rohit demonstrates expertise in Monte Carlo Simulations (FLUKA, GEANT4), dosimetry instrumentation, and radiation transport analysis. He excels in phantom modeling, shielding design, and working with advanced phosphor materials like LiCaAlF₆:Eu,Y. His technical proficiency supports high-precision radiation studies essential for developing effective radiation protection protocols in both terrestrial and space environments. These research skills make him a valuable contributor to the field of computational dosimetry and applied radiation science.

📈 Legacy and Future Contributions

Rohit Yadav is on track to become a leading figure in radiation simulation and protection research in India. His ongoing contributions will likely shape national radiation safety standards, influence dosimetry policies, and expand applications of Monte Carlo methods in medical physics, space missions, and environmental monitoring.

Publications Top Notes

Response of CaSO₄:Dy Teflon embedded thermoluminescent dosimeter badge on different ISO phantoms for photons and beta sources using FLUKA and GEANT4

  • Authors: Rohit Yadav, Madhumita Bhattacharya, A.K. Bakshi, B.K. Sapra
    Journal: Radiation Physics and Chemistry
    Year: 2025

Beta dose rate estimation of soil samples with CW-OSL technique using LiCaAlF₆:Eu,Y phosphor for retrospective dosimetry

  • Authors: S. Kadam, S.N. Menon, P. Rama, R. Yadav, S. Dawn, B. Dhabekar
    Journal: Radiation Physics and Chemistry
    Year: 2024

Simulation-based estimation of dosimetric quantities for different phantom compositions and the effectiveness of aluminum shielding against galactic cosmic rays

  • Authors: Rohit Yadav, Sandipan Dawn, A.K. Bakshi, B.K. Sapra
    Journal: Radiation Protection and Environment
    Year: 2024

Estimation of personal dose equivalent HP(0.07) using CaSO₄:Dy Teflon disc-based extremity dosemeter

  • Authors: M. Bhattacharya, K. Samuel, S. Patil, R. Yadav, A.K. Bakshi, S.K. Singh, B.K. Sapra
    Journal: Radiation Protection Dosimetry
    Year: 2022

 

 

Chuhui Zhang | Machine Learning in Physics | Best Researcher Award

Published on by High Energy Physics

Mr. Chuhui Zhang | Machine Learning in Physics | Best Researcher Award

Nanjing University of Information Science and Technology | China

Chuhui Zhang is a master’s degree candidate at Nanjing University of Information Science & Technology, where he studies Big Data Science and Technology in a Sino-foreign collaboration program. His research focuses on laser system development and intelligent control, specifically in laser system design and control algorithm development. Originally from Wuxi, Jiangsu, he has consistently demonstrated an aptitude for both academic and practical contributions in the field of optical systems.

👨‍🎓Profile

ORCID

🎓 Early Academic Pursuits

Zhang’s academic journey began at Jiangsu University, where he earned his Bachelor’s degree in Software Engineering. During his undergraduate years, he distinguished himself with his exceptional leadership and academic achievements, earning accolades such as Three Good Students, Outstanding Student Cadre, and the Outstanding Graduate recognition. He also obtained the CET-6 certification, marking his proficiency in the English language. These early years were formative in shaping his technical skills and research interests in fields such as control algorithms and optical systems.

🛠️ Professional Endeavors

Since 2023, Zhang has been engaged in cutting-edge laser technology projects through his work on the National Natural Science Foundation of China project. His work on high-repetition rate, high-energy mid-infrared picosecond lasers focuses on laser design, time-frequency domain stability control, and ultrafast process measurement. He has also worked on green pulsed laser development and picosecond laser advancements, demonstrating a wide range of expertise across laser systems and optical technologies. Zhang’s technical contributions are evident in his work developing mode-locked fiber lasers, self-starting erbium-doped lasers, and hollow-core anti-resonant fibers.

🔬 Contributions and Research Focus

Zhang’s research focus is primarily on laser system development and intelligent control. His notable contributions include:

  • Developing advanced laser systems such as passively mode-locked ultrafast fiber lasers based on nonlinear polarization rotation.
  • Designing innovative fibers like hollow-core anti-resonant fibers, with a focus on mid-infrared applications.
  • Implementing machine learning algorithms like Particle Swarm Optimization and BFGS optimization to improve mode-locking and control.
  • Utilizing deep learning frameworks such as Pytorch, TensorFlow, and Sklearn to optimize and control ultrafast laser systems.

These projects aim to address some of the most challenging technological gaps in laser science, with an emphasis on achieving higher energy outputs and improved laser performance.

🌍 Impact and Influence

Zhang’s work in the field of laser technology has the potential to impact multiple industries, including medical imaging, communications, and scientific research. His development of high-power green pulsed lasers and mode-locked fiber lasers has the ability to transform applications in microscopy, biomedical imaging, and optical communications. The invention patents and published research in respected journals, such as Infrared Physics & Technology, showcase Zhang’s growing influence in the laser community and his contributions to cutting-edge innovations in optical technology.

🧑‍🏫 Research Skills

Zhang has developed a comprehensive skill set in:

  • Optical system design, including system construction and optical path debugging.
  • Advanced simulation tools, including COMSOL, Matlab, and SolidWorks for fiber laser design.
  • Deep learning and machine learning skills with Pytorch, TensorFlow, and Sklearn.
  • Practical laboratory experience with instruments such as laser pump sources, spectrometers, and oscilloscopes.

These technical skills equip Zhang to independently handle complex laser system development and research experimentation.

🏆 Awards and Honors

Zhang’s exceptional academic performance has been recognized through various honors, including:

  • Outstanding Freshman Scholarship and Third-class Scholarship at Nanjing University of Information Science & Technology.
  • Gold Award in the Mathematical Modeling Competition.
  • Gold Medal in the National International College Student Innovation Competition (2024).
  • Outstanding Graduate recognition at Jiangsu University. These awards underscore his academic excellence and research potential.

🏅 Legacy and Future Contributions

Looking forward, Zhang’s research legacy is set to further impact the field of laser system development. His focus on intelligent control algorithms and high-performance lasers offers promising solutions to high-energy laser applications and optical communication systems. In the future, Zhang is expected to continue pushing the boundaries of laser technology, with the potential to influence not only academic and research sectors but also industry applications. With an increasing number of patents and publications, Zhang’s future contributions are likely to shape the trajectory of optical sciences and laser engineering.

Publications Top Notes

Intelligent controllable ultrafast fiber laser via deep learning and adaptive optimization algorithm

  • Authors: Chuhui Zhang, Pengfei Xiang, Wei Zhu, Chen Chen, Xueming Liu
  • Journal: Infrared Physics & Technology
  • Year: 2024

 

Xiong Zhang | Computational Particle Physics | Best Researcher Award

Published on by High Energy Physics

Mr. Xiong Zhang | Computational Particle Physics | Best Researcher Award

Yan’an University | China

Xiong Zhang is a Lab Technician at the College of Physics and Electronic Information, Yan’an University. Born in Suide, Shaanxi, in September 1990, he has emerged as an innovative researcher in the field of electronic communications . Zhang is currently a PhD Candidate with a strong academic background and a focus on photocatalysis, MEMS systems, and smart technologies. His work spans research, teaching, and practical innovations, making him a significant contributor to both academia and industry.

👨‍🎓Profile

Scopus

Early Academic Pursuits 🎓

Xiong Zhang began his academic journey with a deep interest in electronic communications. After completing his undergraduate studies, he pursued advanced degrees and became a PhD candidate, dedicating his time to research in electronic systems and nanotechnology. His passion for innovative solutions in environmental applications began early, setting the foundation for his current work in photocatalysis and energy solutions.

Professional Endeavors 🔬

Throughout his career, Zhang has led and contributed to several cutting-edge research projects. These include the development of Beidou navigation systems, MEMS inertial navigation, and smart technologies like smart mountaineering clothes and dynamic wireless charging systems for electric vehicles 🚗🔋. As the principal investigator in several projects, he has showcased his leadership and commitment to technological advancement in both theoretical and practical applications.

Contributions and Research Focus 🧪

Zhang’s research is focused primarily on photocatalysis and environmental sustainability. His publications in SCI-3 and SCI-4 journals highlight his expertise in photocatalytic degradation and the design of advanced materials like g-C₃N₄BiVO₄ heterojunctions and Cr₂O₃ embedded g-C₃N₄ composites. His work seeks to improve the efficiency of photocatalytic systems for applications in environmental remediation and renewable energy production 🌱. In addition, Zhang’s research also delves into theoretical investigations of water splitting and metal-doped nanostructures for sustainable energy.

Impact and Influence 🌍

Xiong Zhang’s research has a direct impact on sustainable technologies, with a focus on green energy and environmental protection. By developing innovative photocatalytic systems, he contributes significantly to solving real-world challenges in pollution control and energy efficiency. His work has also influenced the development of smart wearable technologies, contributing to advanced health monitoring systems. Through these contributions, Zhang plays a vital role in environmental sustainability and energy innovation.

Academic Cites 📚

Zhang’s publications have gained considerable recognition in the academic community. His work in photocatalysis has led to citations from peers in related fields, indicating the relevance and application of his research. Being a first author on several influential papers, he has paved the way for further studies in energy materials, smart technologies, and sustainable development. His research is referenced by scientists and engineers working on similar projects, making him an influential figure in his field.

Research Skills 🔍

Xiong Zhang demonstrates exceptional research skills in both experimental and theoretical investigations. He is highly skilled in material synthesis, characterization techniques, and theoretical modeling. His expertise in designing and optimizing photocatalytic systems and MEMS-based technologies has positioned him as an expert in advanced materials and nanotechnology. Additionally, his experience in leading research projects and managing interdisciplinary teams showcases his leadership and collaborative abilities.

Teaching Experience 🧑‍🏫

Since 2018, Zhang has been actively involved in experimental teaching and laboratory management at Yan’an University. He teaches a range of courses in electronic communications, including “Analog Electronic Technology”, “Digital Electronic Technology Experiments”, and “Electrical Engineering Experiments“. He also provides valuable hands-on training to students, preparing them for real-world applications of electronic technologies. Starting in 2024, he will take on a more prominent teaching role in “Microcontroller Principles and Applications”, further contributing to the academic development of his students 💡.

Awards and Honors 🏆

Xiong Zhang’s dedication to academic excellence and student mentorship has been recognized with numerous awards:

  • University Student Electronic Design Competitions: Multiple awards, including First, Second, and Third Prizes, in the Shaanxi Division 🏅.
  • Yan’an University Teaching Achievement Award (2021): Second Prize, highlighting his teaching excellence 🏆.
  • Shaanxi Higher Education Scientific Research Achievement Award (2024): Third Prize, recognizing his contributions to scientific research 🎖️.

These awards reflect his commitment to academic excellence and his positive influence on both students and the broader research community.

Legacy and Future Contributions 🔮

Xiong Zhang’s work continues to evolve as he explores new areas in sustainable technologies and energy solutions. With his ongoing research projects, particularly in the field of synergistic photocatalytic mechanisms and metal-doped nanostructures, Zhang is poised to make even greater contributions to renewable energy and environmental sustainability. His legacy will likely be built on transformative advancements in clean technologies, smart systems, and energy innovation, helping shape the future of green energy and sustainable development 🌍.

Publications Top Notes

  • Enhanced the Efficiency of Photocatalytic Degradation of Methylene Blue by Construction of Z-Scheme g-C₃N₄BiVO₄ Heterojunction
    Authors: Xiong Zhang (First Author)
    Year: 2021

  • Facile Synthesis of Cr₂O₃ Embedded g-C₃N₄ Composites with Excellent Visible-Light Photocatalytic
    Authors: Xiong Zhang (First Author)
    Year: 2022

  • Theoretical Insight into Water Splitting Mechanism of B Doped Tri-s-Triazine-Based g-C₃N₄m-BiVO₄(001) Heterojunction Photocatalyst
    Authors: Xiong Zhang (First Author)
    Year: 2023

  • Theoretical Investigation of the sm-BiVO₄ of Different Surfaces for Photocatalytic Properties
    Authors: Xiong Zhang (First Author + Corresponding Author)
    Year: 2024

  • Basic Experiment Tutorial for Circuits and Electronic Technology
    Authors: Xiong Zhang (Associate Editor)
    Year: 2021