Dr. Waeal Obidallah | Blockchain Technology | Best Researcher Award

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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 detection – Journal 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 environments – Scientific 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 IoT – Expert 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 industry – Heliyon, 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 sets – Health 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 Channels – IEEE Access, 2024
Technical exploration of smart communication channels with reconfigurable surfaces.
DOI: 10.1109/ACCESS.2024.3455998

 

 

Assoc. Prof. Dr. Waleed Almuseelem | Information Security | Best Researcher Award

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Assoc. Prof. Dr. Waleed Almuseelem | Information Security | Best Researcher Award

University of Tabuk, Saudi Arabia

Dr. Waleed Mohammad Hamad Almuseelem is a distinguished scholar and IT professional from Saudi Arabia, currently serving as an Associate Professor at the University of Tabuk. With a deep-rooted passion for information security, cloud computing, and cybersecurity, he seamlessly blends theoretical knowledge with practical applications. Fluent in Arabic, English, and Chinese, he is committed to advancing digital transformation and cybersecurity solutions. His entrepreneurial mindset and technical expertise contribute to both academia and industry, fostering innovation in IT and computer science. 🌍💻

Publication Profile

🎓 Academic Background

Dr. Almuseelem earned his Ph.D. in Computer Science and Technology with a specialization in Information Security from Wuhan University of Technology, China, in 2017, achieving an “Excellent” evaluation. His dissertation focused on enhancing data security and user privacy in cloud computing. Prior to this, he completed a Master’s in Computer Science and Technology from the same university in 2012, working on secure frameworks for Java smart cards. His academic journey began with a Bachelor’s in Computer Technical Engineering from Riyadh College of Technology in 2007. 📚🎓

💼 Professional Experience

With over 15 years of experience, Dr. Almuseelem has played significant roles in academia and industry. Since 2018, he has been an Associate Professor at the University of Tabuk, teaching undergraduate and master’s courses in IT, Computer Science, and Information Security. He also holds leadership roles, including Chairman of the Supervisory Committee for Foreign Languages and Member of the Quality and Academic Accreditation Committee. Previously, he worked with STC as a systems administrator and served in the Royal Saudi Air Defense Forces as a network administrator and technical support specialist. His expertise spans cloud security, Linux administration, and IT governance. 🏢💡

🏆 Awards and Honors

Dr. Almuseelem has received notable recognitions, including the Best Graduation Dissertation Award in Information Security from Wuhan University of Technology in 2012. His contributions to research and academia are acknowledged in numerous international conferences and workshops, where he shares insights on cybersecurity and open-source technologies. He is an invited speaker at global IT events and collaborates with leading institutions in cybersecurity research. 🏅🌟

🔬 Research Focus

Dr. Almuseelem’s research is centered on cloud security, intrusion detection, zero-trust architectures, and edge computing. He has contributed innovative solutions to data privacy, lightweight authentication, and IoT security. His work integrates AI and cybersecurity to tackle modern challenges in cloud and edge computing environments. Through national and international projects, he aims to develop robust security frameworks for healthcare 4.0, industrial IoT, and enterprise networks. His research is widely cited, influencing global cybersecurity standards. 🔍🛡️

🔗 Top Publications

Intrusion Detection Systems in Cloud Environment – Mastering Intrusion Detection for Cybersecurity, IntechOpen, 2025.

A Novel Fuzzing for RPL Network Vulnerability Analysis and Vision Transformer-based Attack Detection for IIoT – Journal of Harbin Engineering University, 2024.

Continuous and Mutual Lightweight Authentication for Zero-Trust Architecture-Based Security Framework in Cloud-Edge Computing-Based Healthcare 4.0 – Journal of Theoretical and Applied Information Technology, 2023.

Joint Devices Energy and Data Security for Task Offloading in Multi-Tier Edge-Cloud Computing Systems – IEEE Access, 2023.

Data Privacy and Security Model in Cloud Environment – International Conference on Computing and Information Technology (ICCIT), 2023.

User Privacy and Security in Cloud Computing – International Journal of Security and Its Applications, 2016.

Evaluation of Data Security and Privacy Faults in Cloud Computing – EDCAV Conference, 2016.

Data Security and Privacy in Cloud Computing – Advanced Materials Research, 2014.

📢 Conclusion

Dr. Waleed Almuseelem is a visionary IT educator, researcher, and cybersecurity expert dedicated to shaping the future of digital security. His contributions to cloud security, intrusion detection, and zero-trust architectures have been recognized globally. Through academic leadership, research, and industry collaborations, he continues to advance cybersecurity innovations that benefit academia, industry, and national security. 🚀

Mrs. Ionela Chereja | Privacy of data | Best Researcher Award

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Mrs. Ionela Chereja | Privacy of data | Best Researcher Award

Data Engineer and Doctoral student, Technical University of Cluj-Napoca, Romania

Ionela Chereja is a dedicated Data Engineer and doctoral student at the Technical University of Cluj-Napoca, Romania. With over 12 years of experience in data engineering and research, she has contributed significantly to data warehousing, database administration, performance optimization, and data privacy. Her expertise extends to developing frameworks that enhance data security in complex ecosystems.

Publication Profile

Scopus

🎓 Academic Background:

Ionela holds a Bachelor’s degree in Computer Science and a Master’s degree in Databases (Data Science). She is currently pursuing her Ph.D., focusing on privacy assessment frameworks for multilayered data ecosystems. Her academic journey has been marked by a deep commitment to advancing data security and architecture.

💼 Professional Experience:

With extensive industry experience, Ionela has worked on numerous data ecosystem projects in education, media, retail, finance, private hosting, and advertising. She has been instrumental in developing data storage solutions that balance performance and privacy while ensuring compliance with industry regulations.

🏆 Awards and Honors:

Ionela has been recognized for her research contributions in data privacy and security. Her work on privacy assessment frameworks has been widely appreciated in academic and professional circles, earning her citations and collaborations in high-impact research projects.

🔬 Research Focus:

Her primary research interests include data privacy, data storage systems, and data architecture. She is actively engaged in developing innovative assessment frameworks that address security challenges in complex data ecosystems, aiming to improve vulnerability detection and risk mitigation strategies.

🔎 Conclusion:

Ionela Chereja is a passionate researcher and industry expert committed to enhancing data privacy and security in modern ecosystems. Through her academic and professional journey, she continues to bridge the gap between research and real-world applications, making valuable contributions to the field of data engineering.

🔗 Publications Top Notes:

Muhammad Bilal Mahmood | Security | Best Researcher Award

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Mr. Muhammad Bilal Mahmood | Security | Best Researcher Award

PhD Scholar, Dalian University of Technology, China

Muhammad Bilal Mahmood is a dedicated researcher and educator in Software Engineering, currently pursuing his Ph.D. at Dalian University of Technology, China 🎓. With a strong foundation in Computer Engineering and extensive expertise in machine learning, natural language processing, and cybersecurity, he has contributed significantly to academia and research. As a lecturer at The University of Lahore, Pakpattan Campus, since 2017, he has been instrumental in shaping young minds and fostering innovation 💡. His research interests include deep learning, facial expression recognition, and AI-driven cybersecurity solutions.

Publication Profile

ORCID

📚 Education

Muhammad Bilal Mahmood’s academic journey reflects his passion for cutting-edge technology and innovation 🚀. He is currently a Ph.D. candidate in Software Engineering (2021–2025) at Dalian University of Technology, China. Prior to this, he earned his MS in Computer Engineering from NUST College of Electrical & Mechanical Engineering, Rawalpindi, Pakistan (2015) 🎓. His undergraduate studies in Computer System Engineering were completed at NFC Institute of Engineering & Technological Training, Multan, Pakistan (2011), laying the groundwork for his expertise in programming and research.

💼 Experience

With over six years of academic and research experience, Muhammad Bilal Mahmood has been serving as a Lecturer at The University of Lahore, Pakpattan Campus, since 2017 🏫. His responsibilities include developing system requirement specifications, designing databases, programming under strict coding guidelines, and ensuring seamless project management 📊. His ability to mentor students and collaborate with fellow researchers has made him a valuable asset in the field of software engineering.

🏆 Awards and Honors

Throughout his career, Muhammad Bilal Mahmood has been recognized for his contributions to research and academia 🏅. His innovative work in deep learning, NLP, and cybersecurity has earned him appreciation within the research community. His expertise in artificial intelligence-driven security solutions has led to impactful publications, making significant contributions to advancing technological frontiers.

🔬 Research Focus

Muhammad Bilal Mahmood’s research primarily revolves around artificial intelligence, deep learning, and cybersecurity 🔍. His work includes speech emotion recognition, malicious package detection in PyPI, and facial expression analysis using convolutional neural networks 🤖. He has also contributed to medical image processing, topic discovery in health data, and chatbot development for university applications. His interdisciplinary research bridges the gap between AI and real-world applications, improving human-computer interactions.

📝 Conclusion

Muhammad Bilal Mahmood is a passionate researcher, educator, and software engineer dedicated to advancing AI-driven solutions and cybersecurity methodologies 💡. His commitment to academia, combined with his innovative research projects, makes him a valuable contributor to the field. Through his teaching and research, he continues to inspire the next generation of engineers and scientists, pushing the boundaries of technological advancements. 🚀

📄 Publications

Recognizing Semi-Natural and Spontaneous Speech Emotions Using Deep Neural Networks – This research explores deep learning-based speech emotion recognition to enhance human-computer interaction. [Published in: Journal Name, Year] 📜🔗

PypiGuard: A novel meta-learning approach for enhanced malicious package detection in PyPI through static-dynamic feature fusion – This paper introduces a cutting-edge security framework for detecting malicious packages in Python’s package repository. [Published in: Journal Name, Year] 📜🔗

Masabah Bint E Islam | Blockchain | Best Researcher Award

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Ms. Masabah Bint E Islam | Blockchain | Best Researcher Award

Graduate, SEECS NUST, Pakistan

MBE Islam is a dedicated researcher and academic specializing in artificial intelligence, machine learning, and healthcare informatics. With a strong background in computational sciences, he has contributed significantly to interdisciplinary research, particularly in medical data analytics and blockchain-based security frameworks. His research integrates AI-driven models with real-world applications, such as disease classification, water quality monitoring, and deepfake detection. His scholarly contributions in top-tier journals and conferences underscore his expertise in the field.

Publication Profile

Education 🎓

MBE Islam has pursued a rigorous academic journey in the domain of artificial intelligence and computational sciences. He holds advanced degrees in computer science and machine learning, equipping him with the skills necessary to address complex data-driven challenges. His research focuses on integrating AI and data mining techniques in healthcare analytics and cybersecurity.

Experience 🏢

With a wealth of experience in both academia and industry, MBE Islam has worked on various AI-based projects, including disease prediction models, blockchain security, and automated classification systems. His collaborations with renowned institutions and research groups have resulted in groundbreaking studies published in high-impact journals and international conferences. He has also been actively involved in teaching, mentoring, and supervising students in AI, machine learning, and data analytics.

Awards and Honors 🏆

Throughout his career, MBE Islam has been recognized for his outstanding contributions to AI and healthcare analytics. His research publications have received citations from esteemed scholars worldwide. His work on blockchain-based authenticity verification and AI-driven disease classification has been acknowledged for its innovation and impact.

Research Focus 🔬

MBE Islam’s research spans multiple domains, including AI in healthcare, blockchain security, and computational biology. His work on supervised machine learning for comorbidity analysis, association rule mining for IBS patients, and deepfake authenticity verification using blockchain highlights his interdisciplinary approach. He has also explored AI-based water quality assessment and lung disease classification, showcasing his ability to apply computational techniques to real-world challenges.

Conclusion 🌟

MBE Islam is a trailblazing researcher whose work bridges AI, healthcare, and security. His contributions to disease classification, blockchain security, and medical AI applications have made a significant impact on academia and industry. His research continues to shape the future of AI-driven healthcare solutions and secure digital systems. 🚀

Publication📚

Identifying comorbidity patterns of irritable bowel syndrome (IBS) patients using association rule mining (2023) – Neurogastroenterology and Motility

AI threats to politics, elections, and democracy: A blockchain-based deepfake authenticity verification framework (2024) – Blockchains Journal

From Measured pH to Hidden BOD: Quasi Real-Time Estimation of Key Indirect Water Quality Parameters Through Direct Sensor Measurements (2024) – ICICT Proceedings

Classification of Lung Diseases Through Artificial Intelligence Models: A Multi-Dataset Evaluation (2024) – IEEE International Conference on Signal Processing

Supervised machine learning analysis of comorbidities in irritable bowel syndrome: A UK BioBank Study (2023) – Neurogastroenterology and Motility

Mr. Amir Hamadeh | Blockchain Technology | Best Researcher Award

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Mr. Amir Hamadeh | Blockchain Technology | Best Researcher Award

Accounting Instructor, Haigazian University, Lebanon

Amir Hasan Hamadeh is a dedicated academic and researcher specializing in Accounting and Auditing. He is currently a PhD candidate at Beirut Arab University (BAU) and holds a master’s degree in Financial Management from the University of East London. As an instructor at Haigazian University in Lebanon, he teaches undergraduate and postgraduate students, focusing on accounting and auditing principles. His expertise lies in integrating emerging technologies like Blockchain and Artificial Intelligence into financial practices, aiming to enhance transparency and efficiency in the field.

Publication Profile

ORCID

🎓 Education:

Amir Hamadeh is pursuing a PhD in Accounting and Auditing at Beirut Arab University (BAU), where his research delves into the impact of emerging technologies on financial reporting. He previously earned a master’s degree in Financial Management from the University of East London, equipping him with in-depth knowledge of global financial practices and regulatory frameworks. His academic journey reflects a strong foundation in accounting, finance, and auditing, complemented by continuous learning and research engagement.

📚 Experience:

With extensive experience in academia, Amir Hamadeh serves as an accounting instructor at Haigazian University. He is actively involved in teaching and mentoring students, supervising MBA theses, and contributing to research in the field of accounting and auditing. His professional expertise includes auditing practices, financial reporting, and the adoption of innovative technologies in accounting. His role in academia has enabled him to shape future financial professionals while advancing research in the domain of blockchain and AI applications in auditing.

🏆 Awards and Honors:

Amir Hamadeh has made notable contributions to the academic and research community, particularly through his work on blockchain technology in auditing. While specific awards and honors are yet to be highlighted, his research recognition and published works have positioned him as an emerging scholar in the field. His academic contributions are increasingly gaining attention, with his research influencing modern accounting and auditing methodologies.

🔬 Research Focus:

His research interests revolve around Blockchain Technology, Artificial Intelligence, Auditing, and Financial Accounting. He explores how digital innovations can enhance auditing transparency and efficiency. His notable work, “Auditors’ Intention to Use Blockchain Technology and TAM3: The Moderating Role of Age,” published in Administrative Sciences, investigates auditors’ adoption of blockchain. His ongoing projects continue to examine the intersection of emerging technologies and financial auditing, aiming to drive advancements in the sector.

🔍 Conclusion:

Amir Hasan Hamadeh is a forward-thinking researcher and educator committed to bridging the gap between traditional accounting practices and modern technological advancements. His work on blockchain and AI applications in auditing has contributed to the ongoing evolution of financial reporting. Through teaching, research, and academic contributions, he continues to inspire the next generation of finance professionals while shaping the future of accounting and auditing. 🚀

📖 Publications:

Auditors’ Intention to Use Blockchain Technology and TAM3: The Moderating Role of Age – Published in Administrative Sciences, 2023. Read here. This study examines the impact of blockchain adoption in auditing and the role of age as a moderating factor.

Roseline Ogundokun | Information Security | Women Researcher Award

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Dr. Roseline Ogundokun | Information Security | Women Researcher Award

Lecturer, Landmark University Omu-Aran, Nigeria

🎓 Dr. Roseline Oluwaseun Ogundokun is a dedicated academic and researcher who is passionate about advancing knowledge in Computer Science and solving real-world problems through Artificial Intelligence (AI), Machine Learning (ML), and Medical Imaging. She has a strong focus on interdisciplinary research and is driven to make impactful contributions to society through her work. With her vast experience in teaching and research, Dr. Ogundokun is shaping the next generation of computer scientists and engineers.

Publication Profile

Strengths for the Award:

  • Diverse Research Focus: Dr. Roseline Oluwaseun Ogundokun’s extensive research interests in Artificial Intelligence, Computer Vision, Deep Learning, and Medical Imaging positions her as a key contributor in fields with high impact. Her work in Machine Learning, Data Science, and Information Security also addresses pressing global issues.
  • Academic Excellence: With two Ph.D. pursuits—one completed in Computer Science and another ongoing in Multimedia Engineering—she exemplifies academic dedication. This diverse educational background reflects her determination to explore interdisciplinary solutions to real-world challenges.
  • Teaching Expertise: She has taught a wide range of courses, including Software Engineering Process, System Analysis, and Operating Systems, highlighting her role in shaping the next generation of computer scientists. Her teaching portfolio showcases versatility and depth in both foundational and advanced computing concepts.
  • Award-Winning Contributions: Dr. Ogundokun has received numerous awards, including a Cash Award for Poster Presentation at Deep Learning Indaba 2024 and multiple recognitions as a Top Nigerian Author on Scopus. These accolades emphasize her impact in both research and the academic community.
  • Global Collaborations: Her recent publications demonstrate global collaboration with researchers across countries, contributing to cutting-edge AI models, including the PulmoNet detection model for pulmonary diseases and a novel smartphone application for early disease detection. These innovations have potential for widespread societal benefits.

Areas for Improvement:

  • Focused Research Output: While Dr. Ogundokun has made notable contributions across several research domains, focusing on a few critical areas—such as medical imaging and AI for healthcare—could help solidify her standing as an expert and further boost her international recognition.
  • International Exposure: Although her research spans multiple countries, increasing participation in global conferences, particularly as a keynote speaker or panel expert, could elevate her visibility in the international research community.
  • Industry Collaboration: Strengthening collaborations with industry partners, particularly in AI-driven medical applications, would further highlight her work’s real-world impact and relevance.

Education

📚 Dr. Ogundokun holds multiple prestigious degrees, including a PhD in Computer Science from the University of Ilorin, Nigeria (2015-2022), and is currently pursuing another PhD in Multimedia Engineering from Kaunas University of Technology, Lithuania (2021-2025). She also earned an MSc in Computer Science from the University of Ilorin (2010-2013) and a BSc in Management Information System from Covenant University, Nigeria (2004-2008). Her academic journey reflects her continuous quest for excellence and specialization.

Experience

👩‍🏫 Dr. Ogundokun has taught numerous courses across computer science and software engineering, including topics such as Computer Programming, Software Engineering, Data Communication, and Medical Imaging. Her extensive teaching portfolio includes courses like System Analysis and Design, Operating Systems, and Data Management, showcasing her versatility in the field of computing and technology.

Research Focus

🔍 Dr. Ogundokun’s research interests span Artificial Intelligence, Computer Vision, Deep Learning, Medical Imaging, Machine Learning, Data Science, and Information Security. She is particularly focused on solving health-related problems through AI-driven models and systems, including pulmonary disease detection and sarcasm detection in social media through LSTM models.

Awards and Honours

🏅 Throughout her career, Dr. Ogundokun has received numerous awards, including a $250 Cash Award for Poster Presentation at the Deep Learning Indaba in Senegal (2024) and an Award of Recognition for her contributions as an SGD 4 Champion (2024). She has also been recognized multiple times as one of the top 500 Nigerian authors on Scopus and has been celebrated for her selfless service as a departmental exam officer.

Publication Top Notes

📝 Dr. Ogundokun has contributed significantly to the scientific community through her impactful publications. Notable works include research on deep learning for pulmonary disease detection, attention-based models for detecting sarcasm in social media, and the development of innovative AI-driven applications for healthcare.

“A Novel Insertion Solution for the Travelling Salesman Problem.” Computers, Materials & Continua. DOI: 10.32604/cmc.2024.047898
Cited by 12 articles.

“PulmoNet: A Novel Deep Learning Based Pulmonary Diseases Detection Model.” BMC Medical Imaging, 24(1), 51. Link
Cited by 8 articles.

“A Novel Smartphone Application for Early Detection of Habanero Disease.” Scientific Reports, 14(1), 1423. Link
Cited by 5 articles.

“Utilizing an Attention-Based LSTM Model for Detecting Sarcasm and Irony in Social Media.” Computers, 12(11), 231. Link
Cited by 10 articles.

“Dark and Light Triad: A Cross-Cultural Comparison of Network Analysis in 5 Countries.” Personality and Individual Differences, 215, 112377. Link

Conclusion:

Dr. Roseline Oluwaseun Ogundokun is an outstanding candidate for the Research for Women Researcher Award. Her research, which addresses societal challenges through AI, machine learning, and medical technologies, aligns perfectly with the award’s goals. Her academic accomplishments, global research contributions, and numerous accolades underscore her potential to inspire future generations and drive meaningful change in technology and healthcare. Strengthening her international and industry engagements could further enhance her profile as a leading researcher.