Jawad Ahmad – Geophysics – Best Researcher Award

Jawad Ahmad - Geophysics - Best Researcher Award

Central South University - Pakistan

AUTHOR PROFILE

SCOPUS

🌍 EXPERT IN GEOPHYSICS

Jawad Ahmad is a skilled geophysicist with extensive experience in survey design, data acquisition, and geophysical modeling. He has been part of GSAI Technology Ltd. in China, contributing to advanced geological and geophysical research. His expertise lies in data inversion and onsite data processing, making him a crucial player in subsurface exploration and resource assessment.

🔬 GEOLOGICAL FIELDWORK

Jawad's background as a field geologist has been marked by hands-on involvement in geological mapping, sampling, and stability assessments. During his time at Netracon Technologies and KPOGCL, he applied his geological skills in various challenging environments, producing high-quality reports and risk assessments while contributing to major energy projects in Pakistan.

📈 PIONEERING RESEARCH

Jawad has co-authored several significant research publications focused on geophysical methods and resource exploration. His work in induced polarization surveys and geothermal resource exploration has garnered recognition in the scientific community, shedding light on mineral deposits and geothermal resources across China and Pakistan.

📝 SCIENTIFIC PUBLICATIONS

With a strong foundation in research, Jawad has been part of several publications. From studying copper-molybdenum deposits in China to assessing geoheritage sites in Pakistan, his research spans diverse topics. His work in fractured reservoirs and groundwater exploration showcases his versatility and depth of knowledge in geology and geophysics.

🛠️ TECHNICAL PROFICIENCY

Jawad is highly proficient in using advanced geophysical software like ZondRes2D and ModEM, which he employs in data inversion and geophysical modeling. His technical acumen has enabled him to solve complex geological problems, providing accurate and actionable insights for resource extraction and geological studies.

🌱 SUSTAINABLE EXPLORATION

Jawad’s work aligns with sustainable exploration practices, focusing on geothermal energy and groundwater resources. His research in these fields not only contributes to resource development but also offers solutions for sustainable energy and environmental conservation, reflecting his commitment to eco-friendly geological practices.

📊 PRESENTATIONS & REPORTING

In addition to his technical expertise, Jawad excels in communicating complex geological data through reports and presentations. Whether delivering findings to stakeholders or contributing to academic conferences, his ability to convey information clearly and effectively has been a key aspect of his career.

NOTABLE PUBLICATION

Geothermal Resource Exploration in Reshi Town by Integrated Geophysical Methods
Authors: Ahmed, I., Liu, H., Chen, R., Ullah, F., Rui, L.
Year: 2024

Novel Mutations in Genes of the IL-12/IFN-γ Axis Cause Susceptibility to Tuberculosis
Authors: Ahmad, S., Ahmed, J., Khalifa, E.H., Ullah, N., Khan, T.A.
Year: 2023

Long-Term Impact of Multiple Micronutrient Supplementation on Micronutrient Status, Hemoglobin Level, and Growth in Children 24 to 59 Months of Age: A Non-Randomized Community-Based Trial from Pakistan
Authors: Khan, A., Ul-Haq, Z., Fatima, S., Arshad, M., Safi, S.Z.
Year: 2023

Incidence of SARS-CoV-2 Re-Infection in Anti-Nucleocapsid IgG-Positive Healthcare Workers: A Prospective Cohort Study
Authors: Mehboob, S., Rehman, A., Haq, M., Anwar, S., Haq, N.U.
Year: 2023

Preliminary Geoheritage Assessment of The Gharam Chashma Granitic Batholith (GCGB), Southern Margin of Asian Plate, NW Pakistan: Multiple Constraints from Field Evidence, Petrology, and Physicomechanical Properties
Authors: Naseem, A.A., Anjum, M.N., Yaseen, M., Ahmad, J., Bangash, A.A.
Year: 2023

Akinyemi Oluwaseun Daniel – Exploration Geophysics – Best Researcher Award

Akinyemi Oluwaseun Daniel - Exploration Geophysics - Best Researcher Award

University of Houston - United States

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS:

Akinyemi Oluwaseun Daniel embarked on his academic journey at The Federal University of Technology in Akure, Ondo State. His dedication to geoscience and data science emerged during this period, laying the groundwork for his future contributions to these fields.

PROFESSIONAL ENDEAVORS:

With a Master's degree in Exploration Geophysics (Distinction) and a Bachelor's degree in Applied Geophysics (Second Class Upper Division), Akinyemi Oluwaseun Daniel has exhibited a strong academic foundation. His professional endeavors showcase a year of expertise in executing data-driven solutions, particularly in subsurface geology, where he has utilized machine learning models for geological interpretations and dynamic data-driven improvements.

CONTRIBUTIONS AND RESEARCH FOCUS:

Akinyemi's research projects demonstrate a keen focus on integrating machine learning into reservoir geomechanics workflows, predicting CO2 levels in hydrocarbon-bearing reservoirs, and evaluating machine learning models for lithology prediction. His work spans diverse areas such as density and sonic wave transit time predictions, rock physics, and geomechanical analysis for sand production prediction.

IMPACT AND INFLUENCE:

Akinyemi's impact is evident in the range and depth of his research projects, addressing critical aspects of geophysics and reservoir characterization. By integrating advanced techniques like rock physics and seismic inversion, he contributes to enhancing reservoir understanding and characterization, impacting decision-making processes in the oil and gas industry.

ACADEMIC CITES:

Having undertaken extensive research projects, Akinyemi Oluwaseun Daniel has showcased his proficiency in utilizing machine learning techniques for various geophysical applications. His research contributions, characterized by a strong academic foundation, have likely garnered attention within the academic community.

LEGACY AND FUTURE CONTRIBUTIONS:

Akinyemi's legacy is marked by his commitment to advancing geoscience through innovative applications of data science. His future contributions hold the promise of furthering our understanding of subsurface geology, with a particular emphasis on de-risking geological interpretation uncertainties.

NOTABLE PUBLICATION

Machine learning application for prediction of sonic wave transit time - A case of Niger Delta basin.  2023