Reda Abdel-Hameed | Pharmaceutical Chemistry | Best Researcher Award

Reda Abdel-Hameed | Pharmaceutical Chemistry | Best Researcher Award

Prof. Dr. Reda Abdel-Hameed, University of Hail, Egypt

Prof. Dr. Reda Abdel-Hameed is a distinguished chemist specializing in applied physical chemistry. He earned his B.Sc. (1998), M.Sc. (2003), and Ph.D. (2006) from Al-Azhar University, Cairo. With over two decades in academia, he has served as a professor at Al-Azhar University and an associate professor at the University of Hail, Saudi Arabia. His prolific research includes 134 published papers on nanotechnology, drug design, and environmental chemistry. A leader in scientific innovation, he continues to shape the future of chemistry through groundbreaking studies and mentorship.

Publication Profile

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Education

Prof. Dr. Reda Abdel-Hameed 🎓 is a distinguished chemist with a strong academic background. He earned his B.Sc. in Chemistry in 1998 with an Excellent with Honor degree 🏅, followed by an M.Sc. in Applied Organic Chemistry in 2003 and a Ph.D. in Applied Physical Chemistry in 2006. His academic career began as a Demonstrator at Al-Azhar University (1998-2003) and progressed to Lecturer (2003-2006), Assistant Professor (2006-2012), and Associate Professor (2012-2017). He also served at Hail University, KSA (2009-2012). Since 2017, he has been a Full Professor at Al-Azhar University, contributing significantly to the field of chemistry 🔬.

Experience 

Prof. Dr. Reda Abdel-Hameed 📚 has an extensive teaching portfolio in chemistry across Al-Azhar University and Hail University. At Al-Azhar, he has taught courses in Physical Chemistry, Electrochemistry, Polymer Science, Industrial Chemistry, and more 🔬. At Hail University, he covered Applied Physical Chemistry, Quantum Chemistry, Medical Chemistry, and Petroleum Chemistry ⛽. Additionally, he played a key role in developing course specifications and descriptions. His contributions extend to authorship, with books like Introduction to Organic Chemistry, Applied Electrochemistry, and Nanocomposites as Corrosion Inhibitors 📖. His dedication to chemistry education continues to inspire students worldwide 🌍.

Awards

Prof. Dr. Reda Abdel-Hameed 🌍 is a globally recognized scientist, ranked among the world’s top 2% by Stanford University and Elsevier from 2019 to 2023 📊. His excellence in academia has earned him numerous accolades, including the Ideal Student Prize (1996-1997) 🏆, the Faculty of Science Award for Academic Affairs (2012), and the Excellence in Teaching Award (2017) 🎓. He was also honored for integrating technology into higher education (2010) and recognized as the Best Coordinator for Student Activities at Hail University (2016). A proud member of the Royal Society of Chemistry (RSC) 🔬, he continues to make remarkable contributions.

Research Focus

Prof. Dr. Reda S. Abdel-Hameed specializes in corrosion science and electrochemical applications ⚡🔬. His research focuses on developing corrosion inhibitors 🛡️ for metals, particularly in acidic and marine environments. He explores green chemistry approaches 🌱, including eco-friendly inhibitors derived from expired drugs 💊, polymers 🏗️, and heterocyclic compounds 🧪. His work advances electrochemical techniques for evaluating materials’ durability and protection in industrial applications 🏭. With significant contributions to nanotechnology-based inhibitors 🧬 and adsorption studies, his research benefits sectors like petrochemicals, metallurgy, and coatings 🏗️. His expertise in analytical electrochemistry helps mitigate corrosion-related challenges, ensuring sustainability and efficiency.

Publication Top Notes

Analytical application using modern electrochemical techniques

Ranitidine drugs as non-toxic corrosion inhibitors for mild steel in hydrochloric acid medium

Preparation of green cardanol-based epoxy and hardener as primer coatings for petroleum and gas steel in marine environment

Aminolysis of polyethylene terephthalate waste as corrosion inhibitor for carbon steel in HCl corrosive medium

Effect of expired drugs as corrosion inhibitors for carbon steel in 1M HCL solution

2-(2, 6-dichloranilino) phenyl acetic acid drugs as eco-friendly corrosion inhibitors for mild steel in 1M HCl

Expired Voltaren drugs as corrosion inhibitor for aluminium in hydrochloric acid

Nano-composite as corrosion inhibitors for steel alloys in different corrosive media

Corrosion inhibition and adsorption properties of some heterocyclic derivatives on C-steel surface in HCl

Assoc . Prof . Dr. Vijay Kumar|Drug Discovery|Editorial Board Member

Assoc . Prof . Dr. Vijay Kumar|Drug Discovery|Editorial Board Member

Assoc . Prof . Dr. Vijay Kumar at Dr B R Ambedkar NIT Jalandhar,India

PROFILE  

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Early Academic Pursuits 🎓

Dr. Vijay Kumar’s academic journey is a testament to his dedication to the field of Computer Science and Engineering. He earned his Ph.D. in Computer Engineering from the National Institute of Technology, Kurukshetra, a premier institution renowned for producing leaders in technology and innovation. Prior to his doctorate, he completed his M.Tech. in Computer Science and Engineering from Guru Jambheshwar University of Science & Technology, Hisar, and his B.Tech. in Information Technology from Kurukshetra University, Kurukshetra. This robust foundation in computer science has fueled his career in both academia and research.

Professional Endeavors 👨‍🏫

Dr. Vijay Kumar serves as the Associate Professor and Head of the Department of Information Technology at Dr. B.R. Ambedkar National Institute of Technology (NIT), Jalandhar. In this role, he has been pivotal in driving academic excellence and fostering a culture of research. He has also taken up significant administrative responsibilities, including serving as the Ph.D. Coordinator and Coordinator for the Department Purchase Committee and Infrastructure and Lab Development initiatives. His leadership has been instrumental in shaping the department’s academic and research ecosystem.

Contributions and Research Focus 🧠

Dr. Kumar’s research contributions span across cutting-edge areas such as:

  • Metaheuristic Techniques: Developing advanced algorithms for solving optimization problems.
  • Deep Learning: Pioneering applications of neural networks in diverse domains.
  • Data Clustering: Enhancing techniques for grouping data for better analysis.
  • Image Mining: Leveraging computational methods to extract meaningful information from images.

His extensive publication record includes high-impact papers in prestigious journals like IEEE Transactions on Vehicular Technology, Multimedia Tools and Applications (Springer), and Elsevier’s Vaccine. Some notable works include:

  • A deep-learning framework for detecting deepfakes and enhancing cybersecurity.
  • Novel frameworks for simultaneous clustering and feature selection.
  • A groundbreaking deep network model for visibility restoration in autonomous vehicles.

Dr. Kumar has also co-authored innovative studies on topics like COVID-19 diagnosis using neural networks, lightweight network intrusion detection systems, and vaccine development challenges. His interdisciplinary research bridges computer science with critical real-world applications, from healthcare to environmental sustainability.

Accolades and Recognition 🏆

Dr. Kumar’s contributions to the research community have been widely recognized:

  • Young Teacher Award (2018) by Mody University, Rajasthan for his dedication to teaching and research.
  • Highly Cited Researcher recognition by Web of Science, underscoring the global impact of his research contributions.

These accolades reflect his commitment to advancing knowledge and inspiring the next generation of technologists and researchers.

Impact and Influence 🌍

Dr. Kumar’s work has far-reaching implications. His research in image mining and data clustering has practical applications in industries such as autonomous driving, cybersecurity, and healthcare. For instance:

  • His development of a Deep Drug Synergy Prediction Network promises to revolutionize pharmaceutical research by predicting drug interactions with greater precision.
  • His contributions to visibility restoration models for autonomous vehicles enhance safety and reliability in transportation.

Through his teaching and mentorship, Dr. Kumar has influenced countless students and young researchers, fostering innovation and encouraging them to push boundaries.

Legacy and Future Contributions 🚀

Dr. Vijay Kumar’s legacy is defined by his relentless pursuit of knowledge and his ability to bridge academia with real-world challenges. As the Head of the Department of Information Technology at NIT Jalandhar, he is poised to shape the future of computer science education and research. His focus on metaheuristics, deep learning, and computational methods will continue to drive advancements in fields ranging from artificial intelligence to bioinformatics.

In the years ahead, Dr. Kumar aims to expand his research into emerging areas such as quantum computing, green IT solutions, and advanced encryption technologies. His commitment to fostering collaboration and innovation ensures that his contributions will resonate for generations to come.

Conclusion ✨

Dr. Vijay Kumar stands as a beacon of excellence in academia and research. From his foundational academic pursuits to his impactful professional endeavors, he has continually pushed the boundaries of knowledge and innovation. With his robust research portfolio, numerous accolades, and unwavering dedication, Dr. Kumar’s influence is set to grow, inspiring a new era of technological breakthroughs and academic achievements.

🎓Publication 

Securing big healthcare data using attribute and honey-based encryption in cloud environment

Authors   : Kapil, G., Kumar, N., Mourya, A.K., Kumar, V.

  • Year         :2025

Autoencoder-based drug synergy framework for malignant diseases

XcepCovidNet: deep neural networks-based COVID-19 diagnosis

  • Authors   : Juneja, A., Kumar, V., Kaur, M., Singh, D., Lee, H.-N.

Editorial: ML-driven vaccine against COVID-19: Developmental challenges and foresight

  • Authors   :Singh, D., Damaševičius, R., Kumar, V., Pecetta, S., Rappuoli, R.
  • Journal     : Vaccine
  • Year         :2024

HMOSHSSA: a novel framework for solving simultaneous clustering and feature selection problems

  • Authors   : Kumar, V., Kumari, R., Kumar, S.