Mr. Maruf Farhan | Blockchain | Best Researcher Award

Mr. Maruf Farhan | Blockchain | Best Researcher Award

Mr. Maruf Farhan | Lecturer | University of Sussex International Study Centre | United Kingdom

Academic Background

Mr. Maruf Farhan holds a Master’s degree in Cybersecurity from Northumbria University, where he achieved distinction and conducted research on utilizing blockchain technology to detect counterfeit products. He also earned a Bachelor of Business Administration from North South University, with a focus on Marketing and Management Information Systems. His academic foundation is further strengthened by multiple professional certifications, including CompTIA A+, Security+, CCNA, and specialized training in ethical hacking, cybersecurity, and blockchain applications. His research productivity is documented across Scopus with a number of documents cited multiple times, contributing to his growing h-index and recognition on Google Scholar. These metrics reflect his active engagement in research, demonstrating both quality and impact in the field.

Research Focus

Mr. Maruf Farhan’s research focuses on the intersection of cybersecurity, blockchain technology, and digital innovation. His work explores secure systems for supply chain management, healthcare, and IoT environments, with an emphasis on practical applications of blockchain for fraud detection, secure authorization, and smart contract implementations. He is also investigating AI-driven techniques to enhance security and efficiency in digital infrastructures.

Work Experience

Mr. Maruf has extensive teaching and professional experience across academic and industry settings. He currently serves as a tutor at the University of Sussex International Study Centre, delivering modules in computer science and cybersecurity, and as a visiting lecturer at Coventry University London, focusing on cybersecurity topics. He has also contributed as a cybersecurity educator at the Kingsley Institute of Management and as a guest lecturer at the University of Wales Trinity Saint David. His earlier industry roles include IT instructor, IT support officer, and senior security support specialist, where he managed complex malware analysis, endpoint protection, and cybersecurity operations for high-profile clients.

Key Contributions

Mr. Maruf has significantly contributed to curriculum development, assessment design, and hands-on training in cybersecurity. He has led research initiatives, including the creation of a journal on cybersecurity in IoT and blockchain, and has developed impactful projects such as blockchain-based e-voting systems and counterfeit product detection frameworks. His innovative work bridges academic research with industry applications, ensuring relevance and real-world impact.

Awards & Recognition

Mr. Maruf has received multiple corporate awards for exceptional performance, including recognition as an unsung hero, top agent, and employee of the quarter in cybersecurity projects. He has also secured research grants for participation in international conferences, reflecting both academic and professional excellence.

Professional Roles & Memberships

He is an active professional member of ACM and IEEE, participating in international networks that advance research, standards, and education in cybersecurity and information technology.

Profile

Scopus | ORCID | Google Scholar | ResearchGate | LinkedIn

Featured Publications

Farhan, M., Sulaiman, R., & Nur, A. Blockchain technology to detect fake products. Digital Transformation for Improved Industry and Supply Chain Performance.

Farhan, M., Salih, A., & Butt, U. Enhancing Secure Access and Authorization in Healthcare IoT through an Innovative Framework: Integrating OAuth, DIDs, and VCs. Proceedings of the International Conference on Information Science.

Das, S. R., Salih, A., Sulaiman, R. B., & Farhan, M. Enhancing Lung Cancer Classification with MobileNetV3 and EfficientNetB7: A Transfer Learning Approach. International Conference on Computer and Applications.

Farhan, M., Sulaiman, R. B., & Nur, A. Blockchain: A secure solution for identifying counterfeits and improving supply chain reliability. International Conference on Advances in Computing, Communication.

Farhan, M., Nur, A. H., & Sulaiman, R. B. Blockchain-Based Railway Ticketing: Enhancing Security and Efficiency with QR Codes and Smart Contract. International Conference on Computing and Information Technology.

Impact Statement / Vision

Mr. Maruf Farhan aims to advance cybersecurity through innovative integration of blockchain and AI technologies, addressing critical challenges in digital security and supply chain integrity. His vision is to create secure, efficient, and reliable digital systems that empower industries, governments, and academic institutions while fostering a culture of knowledge sharing and practical innovation.

Dr. Waeal Obidallah | Blockchain Technology | Best Researcher Award

Dr. Waeal Obidallah | Blockchain Technology | Best Researcher Award

Assistant Professor, Imam Mohammad Ibn Saud Islamic University (IMSIU), Saudi Arabia

Dr. Waeal J. Obidallah 🌍 is a dynamic researcher and academician with over a decade of expertise in both corporate and academic realms. With a rich blend of experience in digital transformation, machine learning, data mining, and electronic business technologies, Dr. Obidallah has continually driven innovative outcomes in every role he has undertaken. Known for his leadership in guiding cross-functional teams and for his analytical mindset, he seamlessly bridges the gap between research theory and practical application. His inspiring approach, commitment to growth, and passion for pushing boundaries make him a prominent figure in the fields of digital innovation and intelligent systems.

Publication Profile

🎓 Education Background

Dr. Obidallah earned his Ph.D. in Digital Transformation and Innovation from the University of Ottawa, Canada 🇨🇦 (2014–2021), where he developed cutting-edge expertise in leveraging technology for transformative change. He previously completed his MSc in Electronic Business Technologies at the same university (2011–2013), equipping him with a solid foundation in the digital economy, e-commerce, and business intelligence systems.

💼 Professional Experience

Currently serving as an Assistant Professor at the Imam Mohammad ibn Saud Islamic University in Riyadh, Saudi Arabia 🇸🇦 since 2021, Dr. Obidallah has been instrumental in shaping curriculum and guiding research in the College of Computer and Information Sciences, Department of Information Systems. His professional background includes leading interdisciplinary teams in both academia and industry, delivering data-driven solutions and high-impact publications.

🏅 Awards and Honors

While no individual awards are listed, Dr. Obidallah’s profile is marked by significant academic impact 📈, evidenced by over 100+ citations, 54 co-authors, and contributions to renowned international journals. His consistent scholarly output reflects recognition and respect within the global research community.

🔬 Research Focus

Dr. Obidallah’s research focuses on Digital Transformation, Data and Text Mining, Machine Learning, FinTech, Blockchain, and Big Data 📊. He is especially interested in applying AI and data science techniques to enhance intelligent systems, industrial operations, medical sensors, and smart environments. His work also incorporates Design Science Research Methodology (DSRM) to structure innovation with academic rigor.

🧩 Conclusion

A lifelong learner and dedicated innovator, Dr. Waeal Obidallah continues to influence the evolving landscape of data-driven technologies with his deep expertise and enthusiastic leadership. 🚀 His unwavering pursuit of excellence, coupled with his motivational spirit, has made him a role model for aspiring researchers and collaborators alike. Embracing challenges beyond the comfort zone, he is committed to making impactful contributions in the ever-changing digital world.

📚 Top Publication Notes

Quantum computational infusion in extreme learning machines for early multi-cancer detectionJournal of Big Data, 2025
Cited by: 1 | This innovative article explores the fusion of quantum computing with ELMs to revolutionize early cancer diagnostics.

Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environmentsScientific Reports, 2025
Cited by: 2 | A comprehensive study of deep learning models designed for predictive maintenance in limited-resource industrial setups.

AI-based energy aware parent selection mechanism to enhance security and energy efficiency for smart homes in IoTExpert Systems, 2025
A novel AI-powered method optimizing security and energy in IoT home systems.
DOI: 10.1111/exsy.13647

Beyond the hype: A TAM-based analysis of blockchain adoption drivers in construction industryHeliyon, 2024
Offers insights into real-world blockchain adoption using the Technology Acceptance Model (TAM).
DOI: 10.1016/j.heliyon.2024.e38522

Ensuring the integrity assessment of IoT medical sensors using hesitant fuzzy setsHealth Informatics Journal, 2024
Focuses on trustworthy IoT applications in healthcare via fuzzy logic.
DOI: 10.1177/14604582241301019

Intelligent Reconfigurable Surface Assisted Constellation Index Selection Spatial Modulation Over Nakagami-m Fading ChannelsIEEE Access, 2024
Technical exploration of smart communication channels with reconfigurable surfaces.
DOI: 10.1109/ACCESS.2024.3455998