Arwa Alqahtani | Chemistry and Materials Science | Best Researcher Award

Published on 29/04/202529/04/2025 by Research Hypothesis

Arwa Alqahtani | Chemistry and Materials Science | Best Researcher Award

Assist. Prof. Dr Arwa Alqahtani, Imam Mohammed bin Saud university, Saudi Arabia

Assist. Prof. Dr. Arwa Sultan Alqahtani 🌟 is a passionate researcher and academician at Imam Mohammed bin Saud University 🏛️. With a strong foundation in Chemistry, she specializes in medicinal chemistry, green chemistry, natural products, sustainable energy, and applied chemistry 🌱💊. Dr. Alqahtani earned her Ph.D. and MSc degrees from the University of Glasgow 🎓, following earlier studies at King Khalid University and the University of Edinburgh 🇬🇧. Her dynamic career journey reflects excellence in both teaching and research since 2016 📚🔬. She is multilingual, fluent in Arabic and English 🗣️🌍, and proficient in digital tools like MS Office, Adobe Photoshop, and SEO. Dr. Alqahtani’s inspiring dedication to cutting-edge research and academic excellence makes her a standout candidate for the Best Researcher Award 🏆🧪.

Publication Profile

Scopus

Education

Assist. Prof. Dr. Arwa Alqahtani is a dedicated scholar with a robust academic background in chemistry and interdisciplinary sciences. She earned her Ph.D. in Chemistry with a focus on Medicinal Chemistry from the University of Glasgow (2017–2023) 🎓💊, where she also completed her MSc in the same field (2013–2015) 🎓🔬. Prior to that, she pursued a High Diploma in English Language at the University of Edinburgh (2012–2013) 🇬🇧📚, enhancing her academic communication and global engagement. Her foundational education includes a BSc in Chemistry 🏛️🧪 and a High Diploma in Computer Science 💻📖 from King Khalid University (2010–2011), demonstrating her early commitment to multidisciplinary learning. Dr. Alqahtani’s academic journey highlights her passion for medicinal chemistry, strong language proficiency, and digital literacy. Her diverse qualifications reflect a commitment to continuous learning, skill development, and the integration of scientific knowledge across various domains, making her a valuable contributor to the academic and scientific communities.

Experience

Assist. Prof. Dr. Arwa Sultan Alqahtani is currently serving as an Assistant Professor at Imam Mohammed bin Saud University (2023–Present) 🏛️🔬, following her tenure as a Lecturer from 2016 to 2023 🎓📚. With a solid academic foundation and a passion for education, she has consistently excelled in teaching, mentoring, and research leadership ✨. Her expertise extends beyond academia into the digital realm, showcasing proficiency in modern software applications such as MS Office, Photoshop, and WordPress, along with digital marketing tools like SEO, Facebook Ads, and Google Ads 📈💻. Dr. Alqahtani’s research contributions are rooted in the field of chemistry, where she focuses on sustainable and medicinal innovations that aim to improve health and environmental outcomes 🧬🌱. Her dedication to integrating technology with science and education marks her as a dynamic academic professional committed to meaningful impact and continuous growth in both teaching and research spheres.

Awards and Honors

Dr. Arwa Sultan Alqahtani’s dedication to impactful research and education has positioned her as a leading academic in her field 🏆. She is recognized for her contributions to green chemistry and medicinal chemistry through prestigious research publications and collaborations 🌟🔬. As a nominee for the Best Researcher Award, her work integrating sustainability with innovation stands out globally 🌍💡. Her interdisciplinary skills in chemistry and computer science have added to her broad professional excellence, enhancing her scientific productivity 📚🧪. The Best Researcher Award would further celebrate her outstanding efforts to merge academic excellence with societal benefit 🏅🎓.

Research Focus

Dr. Arwa Sultan Alqahtani’s research focus spans Medicinal Chemistry, Natural Products, Green Chemistry, Sustainable Energy, Applied Chemistry, and Total Synthesis 🌿💊⚡. She is passionate about eco-friendly scientific innovation, seeking sustainable solutions for modern challenges 🌍🔬. Her work includes optimizing drug delivery systems using machine learning and developing green analytical methods using computational assistance 💻🧬. Dr. Alqahtani aims to bridge the gap between synthetic chemistry and environmental responsibility, ensuring that scientific progress aligns with global sustainability goals ♻️🌎. Her interdisciplinary approach empowers collaborations across chemistry, technology, and healthcare sectors 🏥🔬.

Publication Top Notes

“Utilization of machine learning approach for production of optimized PLGA nanoparticles for drug delivery applications” 📈💊 (Scientific Reports, 2025)
“Adopted green spectrophotometric determination of futibatinib based on diazo coupling with 1-naphthol and assisted computational calculations” 🌿🧪

Bamidele Omotara | Chemistry and Materials Science | Excellence in Research Award

Published on 16/10/202416/10/2024 by Research Hypothesis

Bamidele Omotara | Chemistry and Materials Science | Excellence in Research Award

Mr Bamidele Omotara, university of new haven, United States

Bamidele Omotara is an experienced chemist with a strong background in computational and analytical chemistry. He earned a Master of Science in Chemistry from the University of New Haven (2022-2023) and a Bachelor of Science in Chemistry from Ekiti State University, Nigeria (2010-2016) 🎓. Currently, he volunteers as a Computational Chemist at Bytewave Technologies, using molecular simulations for drug design and reaction modeling 🔬💊. He previously worked as a Quality Control Analyst at Peace Standard Pharmaceutical Industries (2019-2021), performing quality testing and analysis of pharmaceutical products, including injectable emulsions and stability studies ⚗️💉.

Publication profile

Scopus

Education

With a solid academic foundation in chemistry, I obtained my Master of Science from the University of New Haven, West Haven, CT, between January 2022 and December 2023 🧪🎓. This advanced degree built upon the knowledge and skills I acquired during my Bachelor of Science in Chemistry from Ekiti State University, Ado Ekiti, Nigeria, where I studied from January 2010 to January 2016 🧑‍🔬📚. These educational experiences have equipped me with a strong understanding of chemical principles, laboratory techniques, and research methodologies, preparing me for future endeavors in the field of chemistry 🌍🔬.

Experience

As a Computational Chemist at Bytewave Technologies Inc. (since May 2024), He employ simulations to identify protein-binding sites for new drug molecules and model synthesis reactions, exploring fundamental processes like superconductivity and energy storage. My expertise includes virtual screening, molecular docking, and dynamics for computational drug design 🧪🔬. Previously, I worked as a Quality Control Analyst at Peace Standard Pharmaceutical Industries (April 2019 – December 2021), where he performed quality testing, analyzed raw materials, and ensured batch execution for sterile injectables 💊. My work adhered to global pharmacopeial standards (USP-NF, EP, BP, JP), ensuring top-tier quality control 📈.

Research focus

A.U. Egbemhenghe’s research focuses on computational drug design and the identification of novel small molecules for cancer therapy. 🧬✨ Using techniques like virtual screening, molecular docking, and molecular dynamics simulations, their work targets key cancer-related proteins, such as p53-MDMX interaction and STK17B, to identify effective inhibitors for potential therapeutic use. 💊🔬 Egbemhenghe integrates bioinformatics and molecular modeling to enhance the precision of immuno-oncology compounds, like VISTA-inhibitors, aiming to develop novel treatments that improve cancer outcomes. 🌿🛡️ Their research lies at the intersection of computational biology and oncology drug development. 🖥️🧑‍⚕️

Publication top notes

Identification of novel immuno-oncology compounds as VISTA-inhibitors for cancer therapy: A computational approach integrating virtual screening and molecular dynamics simulation

Computational-based drug design of novel small molecules targeting p53-MDMX interaction

Identification of promising small-molecule inhibitors targeting STK17B for cancer therapeutics: molecular docking and molecular dynamics investigations

Conclusion

His innovative research in computational chemistry, particularly in drug design and cancer therapy, combined with his practical industry experience, Mr. Omotara has made significant strides in his field, making him an excellent candidate for the Excellence in Research Award.

Mehdi SALEM | Chemistry and Materials Science | Best Researcher Award

Published on 05/09/202405/09/2024 by Research Hypothesis

Mehdi SALEM | Chemistry and Materials Science | Best Researcher Award

Dr Mehdi SALEM, IMT Mines Albi, France

Dr. Mehdi Salem appears to be an excellent candidate for the Best Researcher Award due to his significant contributions in materials science and mechanical engineering, specifically in areas like thermal fatigue, high-temperature corrosion, and additive manufacturing. Below are key factors supporting his suitability:

Publication profile

google scholar

Strong Academic Background

Dr. Salem holds a Doctorate in Mechanical Engineering (2009) from Université Paul Sabatier de Toulouse, with prior degrees in materials science and general engineering. His academic foundation is rooted in prestigious institutions, reflecting his depth in research capabilities.

Professional Experience

With over a decade of experience as a research engineer at Armines – IMT Mines Albi-Carmaux and extensive post-doctoral work, Dr. Salem’s professional career focuses on high-impact research in material fatigue, metal forming processes, and additive manufacturing. His roles as a lecturer further demonstrate his academic leadership.

Expertise and Technical Contributions

His expertise spans advanced topics such as thermal fatigue, corrosion, residual stress evaluation, and additive manufacturing. His technical skills in simulation (e.g., MEF), microstructural analysis, and materials testing position him as a leading researcher in his field.

Publications and Impact

Dr. Salem’s publications, such as his work on thermal fatigue analysis and residual stresses in selective laser melting, have made a significant contribution to mechanical engineering and materials science, with citations demonstrating the relevance of his research. His published papers in top-tier journals like International Journal of Fatigue and Additive Manufacturing have garnered considerable citations, reflecting the impact of his research on both academic and industrial applications.

Multidisciplinary Collaboration

Collaborating with both academic and industrial entities, his research has addressed real-world challenges, such as improving machining quality and enhancing the durability of automotive components. His work on the effect of doum palm fibers and aluminizing on thermal fatigue demonstrates innovative problem-solving in diverse materials.

Research focus

M. Salem’s research primarily focuses on thermal fatigue, additive manufacturing, and composite materials. His work spans analyzing thermal fatigue in automotive diesel pistons and hot work tool steels to improving additive manufacturing processes like selective laser melting and cold metal transfer. He also explores the mechanical and thermal properties of materials, including aluminum alloys and gypsum mortars reinforced with natural fibers. Another key aspect of his research involves developing innovative tools to enhance machining quality and reduce harmful particulate dispersion in composite materials. 🔧🛠️🔥🌡️📊

Conclusion

Dr. Salem’s deep expertise, demonstrated impact through highly cited publications, and his significant technical achievements in thermal fatigue, additive manufacturing, and residual stress analysis make him a standout candidate for the Best Researcher Award. His ongoing contributions to both academic research and industrial applications exemplify his leadership in the field of materials science.

Publication top notes

Thermal fatigue analysis of automotive Diesel piston: Experimental procedure and numerical protocol

Characterisation of 4043 aluminium alloy deposits obtained by wire and arc additive manufacturing using a Cold Metal Transfer process

Improvement of the bridge curvature method to assess residual stresses in selective laser melting

New tool for reduction of harmful particulate dispersion and to improve machining quality when trimming carbon/epoxy composites

The effect of doum palm fibers on the mechanical and thermal properties of gypsum mortar

Effect of aluminizing and oxidation on the thermal fatigue damage of hot work tool steels for high pressure die casting applications

Numerical simulation of thermal fatigue behavior in a cracked disc of AISI H-11 tool steel

A new insight on the analysis of residual stresses related distortions in selective laser melting of Ti-6Al-4V using the improved bridge curvature method

New model for the prediction of the machining depth during milling of 3D woven composite using abrasive waterjet process

Experimental study of thrust force and surface quality when drilling hybrid stacks