Sultan Ahmad | Machine Learning and Data Science | Best Researcher Award

Dr. Sultan Ahmad | Machine Learning and Data Science | Best Researcher Award

Prince Sattam Bin Abdulaziz University | Saudi Arabia

PUBLICATION PROFILE

Scopus

Orcid

INTRODUCTION 🌟

Dr. Sultan Ahmad is a distinguished academician and researcher in the field of Computer Science, currently serving as a Senior Lecturer at Prince Sattam Bin Abdulaziz University in Al-Kharj, Kingdom of Saudi Arabia. With over 15 years of academic experience and a rich background in industrial work, Dr. Ahmad has become a pivotal figure in AI, IoT, and Sustainable Development research. His dedication to advancing knowledge and contributing to societal betterment is exemplified through his ongoing and completed research projects.

EARLY ACADEMIC PURSUITS 🎓

Dr. Ahmad began his academic journey with a Bachelor of Science in Computer Science and Applications from Patna University, India, where he achieved distinction in 2002. He further pursued a Master of Computer Science and Applications from Aligarh Muslim University, graduating with distinction in 2006. His pursuit of excellence continued with a Ph.D. in Computer Science from Glocal University, Saharanpur, India. These foundational achievements have laid the groundwork for his extensive contributions to computer science research and education.

PROFESSIONAL ENDEAVORS 💼

Since 2009, Dr. Sultan Ahmad has been a Senior Lecturer in the College of Computer Engineering and Sciences at Prince Sattam Bin Abdulaziz University. His professional journey spans both academic and industrial sectors, with over three years of industrial work experience and a significant academic role. His research expertise includes AI-based models, IoT, Smart Cities, Agriculture 4.0, and innovative solutions for enhancing technological infrastructure.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Ahmad’s research is primarily focused on the intersection of Artificial Intelligence, Internet of Things (IoT), and Sustainable Development. His ongoing research projects include AI-based models for facial emotion recognition and politeness assessment, as well as AI and IoT approaches for sustainable smart cities. He has also led groundbreaking projects in IoT-based agriculture security, intrusion detection systems, and the integration of IoT and fog computing in the 5G era. Dr. Ahmad’s work is at the forefront of addressing current technological challenges and envisioning future solutions.

IMPACT AND INFLUENCE 🌍

Through his leadership in research and academic contributions, Dr. Sultan Ahmad has made a significant impact on both the academic community and society. His work in AI, IoT, and sustainable development aims to create smart, secure, and sustainable environments that can improve quality of life globally. The outcomes of his projects, such as advancements in agriculture security and smart cities, hold immense potential to address pressing global challenges.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Sultan Ahmad’s scholarly output is impressive, with multiple publications in prestigious journals and conferences. He has received recognition for his work in the areas of machine learning, cloud computing, IoT, and 5G technologies. His research papers are widely cited in academic circles, and his contributions are accessible through platforms like Google Scholar and Scopus, highlighting his influence in the field.

HONORS & AWARDS 🏆

Dr. Sultan Ahmad’s excellence in research and academia has been recognized through various accolades. He holds a certification from DELL EMC as an Academic Associate in Cloud Infrastructure and Services. Additionally, his contributions as an academic editor, reviewer for renowned journals, and guest editor for special issues have further solidified his standing in the academic community.

LEGACY AND FUTURE CONTRIBUTIONS 🚀

Dr. Sultan Ahmad’s legacy is characterized by his relentless pursuit of innovation and his passion for developing technologies that benefit society. His future endeavors are focused on further advancing the field of AI and IoT, particularly in areas that contribute to the betterment of smart cities, agriculture, and sustainable development. As an educator, he continues to inspire the next generation of computer science professionals, ensuring that his influence will be felt for years to come.

FINAL NOTE ✨

Dr. Sultan Ahmad’s journey from an early academic enthusiast to a prominent figure in the fields of AI, IoT, and Sustainable Development is a testament to his dedication and passion for technology. His ongoing research projects and academic endeavors promise to make a lasting impact on the world, and his commitment to shaping future generations of scholars is evident in his teaching and mentorship.

TOP NOTES PUBLICATIONS 📚

A Novel AI-Based Stock Market Prediction Using Machine Learning Algorithm
    • Authors: M Iyyappan, S Ahmad, S Jha, A Alam, M Yaseen, HAM Abdeljaber

    • Journal: Scientific Programming

    • Year: 2022

Architecture of Data Lake
    • Authors: S Ahmad, A Singh

    • Journal: International Journal of Scientific Research in Computer Science

    • Year: 2019

Deep Learning Enabled Disease Diagnosis for Secure Internet of Medical Things
    • Authors: S Ahmad, S Khan, MF AlAjmi, AK Dutta, LM Dang, GP Joshi, H Moon

    • Journal: Computers, Materials & Continua

    • Year: 2022

Secure Smart Healthcare Monitoring in Industrial Internet of Things (IIoT) Ecosystem with Cosine Function Hybrid Chaotic Map Encryption
    • Authors: J Khan, GA Khan, JP Li, MF AlAjmi, AU Haq, S Khan, N Ahmad, …

    • Journal: Scientific Programming

    • Year: 2022

IoT Based Pill Reminder and Monitoring System
    • Authors: S Ahmad, H Mahamudul, M Gouse Pasha

    • Journal: International Journal of Computer Science and Network Security

    • Year: 2020

Efficient communication in wireless sensor networks using optimized energy efficient engroove leach clustering protocol
    • Authors: N Meenakshi, S Ahmad, AV Prabu, JN Rao, NA Othman, HAM Abdeljaber, …

    • Journal: Tsinghua Science and Technology

    • Year: 2024

Ensemble learning driven computer-aided diagnosis model for brain tumor classification on magnetic resonance imaging
    • Authors: T Vaiyapuri, J Mahalingam, S Ahmad, HAM Abdeljaber, E Yang, …

    • Journal: IEEE Access

    • Year: 2023

 

Razieh Fazaeli | Environmental Data Analysis | Women Researcher Award

Mrs. Razieh Fazaeli | Environmental Data Analysis | Women Researcher Award

Mrs. Razieh Fazaeli at university of Waterloo, Canada

Profiles

Scopus Profile

🌳Academic Background 

Razieh Fazaeli is a PhD student in Nanochemistry at the University of Waterloo, with extensive experience in inorganic chemistry and catalysis. She has contributed significantly to the development of novel nanocatalysts and materials for environmental and energy applications, with a strong publication record in leading chemistry journals. Her research focuses on the synthesis, characterization, and application of nanostructured materials in photocatalysis, energy storage, and green chemistry.

🎓 Education

Razieh Fazaeli holds a Master of Science in Inorganic Chemistry from Isfahan University of Technology, Iran (2000), where she conducted research on the synthesis and characterization of Co(III) complexes under the supervision of Prof. Mehdi Amirnasr. She also earned a Bachelor of Science in Chemistry from Kashan University, Iran (1998).

💼 Professional Experience

Razieh is currently a PhD student in Chemical Engineering (Nanochemistry) at the University of Waterloo, Canada. Her research focuses on the design and development of advanced nanomaterials for catalytic applications, particularly in environmental remediation and energy storage. She has co-authored numerous publications in high-impact journals, showcasing her expertise in nanocatalysts and photocatalysis.

🔬 Research Interests

Razieh’s research interests include nanochemistry, catalysis, and material science. She specializes in the synthesis of novel nanostructured materials and their application in photocatalysis, energy conversion, and environmental cleanup. Her work is centered on developing sustainable solutions for global challenges, such as water purification and clean energy technologies.

📖 Publication

A comparison increasing the photodegradation power of a Ag/g–C3N4 /CoNi–LDH nanocomposite: Photocatalytic activity toward water treatment

Authors: Fazaeli, R., Aliyan, H., Richeson, D., Li, Y.
Journal: Journal of Environmental Sciences (China)
Year: 2025

Investigation of the synergistic photocatalytic activity of a ternary ZrTiO4/TiO2/Mn3O4 (ZTM) nanocomposite in a typical water treatment process

Authors: Fazaeli, R., Aliyan, H., Nezamzadeh-Ejhieh, A., Richeson, D.
Journal: Surfaces and Interfaces
Year: 2024

Hollow Ag/Mn(btc): As highly efficient catalyst for oxidation of sulfides to sulfoxides

Authors: Aliyan, H., Fazaeli, R., Foroutanfar, Z., Richeson, D., Li, Y.
Journal: Inorganic Chemistry Communications
Year: 2023

Photocatalytic degradation abilities of binary core-shell SiO2@mZrO2/TiO2 nanocomposites: Characterization, kinetic and thermodynamic study of metoclopramide (MCP) eradication for water purification

Authors: Zahraei, M.S.N., Fazaeli, R., Aliyan, H., Richeson, D.
Journal: Materials Research Bulletin
Year: 2023

Hierarchical mesoporous plasmonic Pd-Fe3O4/NiFe-LDH composites: Characterization, and kinetic study of a photodegradation catalyst for aqueous metoclopramide

Authors: Shabib, F., Fazaeli, R., Aliyan, H., Richeson, D.
Journal: Environmental Technology and Innovation
Year: 2022

Photodegradation and mineralization of metronidazole by a novel quadripartite SnO2@TiO2/ZrTiO4/ZrO2 photocatalyst: Comprehensive photocatalyst characterization and kinetic study

Authors: Amouhadi, E., Aliyan, H., Aghaei, H., Fazaeli, R., Richeson, D.
Journal: Materials Science in Semiconductor Processing
Year: 2022