Dr. Waeal Obidallah | Blockchain Technology | Best Researcher Award

Posted on by sciencefather

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

 

 

Masabah Bint E Islam | Blockchain | Best Researcher Award

Posted on by sciencefather

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

Hsing-Chung Chen | Blockchain Technology | Best Researcher Award

Posted on by sciencefather

Prof. Dr. Hsing-Chung Chen | Blockchain Technology | Best Researcher Award

Distinguished Professor, Asia University, Taiwan

Prof. Hsing-Chung Chen is a Distinguished Full Professor at the Department of Computer Science and Information Engineering, Asia University, Taiwan. He holds a Ph.D. in Electronic Engineering from National Chung Cheng University, Taiwan (2007). A Senior Member of IEEE, he is recognized for his outstanding contributions to Information Security, Blockchain Technology, Internet of Things, Artificial Intelligence, and Cryptography. He has served in numerous academic and leadership roles, including Director of the Information Security Research Center at Asia University. Prof. Chen has been recognized on the “World Ranking of Top 2% Scientists” by Stanford University for four consecutive years (2021-2024). Additionally, he has been awarded the Best Paper and Best Post Publication awards and has published 80 journal papers, 6 patents (including 2 US Patents), and over 130 conference papers.

Publication Profile

ORCID

Education 🎓

Prof. Hsing-Chung Chen received his Ph.D. in Electronic Engineering from National Chung Cheng University, Taiwan, in 2007, laying the foundation for his extensive career in information security, blockchain, and related fields.

Experience 🧑‍🏫

Prof. Chen began his academic career as an Assistant Professor at Asia University, Taiwan, in 2008, advancing to Associate Professor and Full Professor until he was named Distinguished Full Professor in 2019. He has held various leadership positions, including Chairman of the Department of Computer Science and Information Engineering at Asia University and Research Consultant at China Medical University Hospital. He has been a key figure in organizing major conferences and workshops and serving on editorial boards for prestigious international journals.

Research Interests 🔍

His research interests are wide-ranging and include Information and Communication Security, Software Supply Chain, Blockchain Technology, Internet of Things (IoT), Mobile Networks, Medical Signal Image Processing, AI & Soft Computing, and Applied Cryptography.

Awards 🏆

Prof. Chen has received numerous prestigious awards, including the Best Paper Awards at BWCCA 2016, MobiSec 2017, and BWCCA 2018, as well as the Best Journal Paper Award from AACT. He has also been honored with multiple recognitions, such as the ACM ICFET 2020 Best Paper Presentation Award and the TANET 2018 Best Post Publication Award.

Publications 📚

“A Blockchain-Based IoT Security Architecture for Digital Healthcare”
Published in IEEE Access (2023)
Link to Publication
Cited by: 50+

“Secure Mobile and Wireless Network Protocols”
Published in Journal of Internet Services and Information Security (2022)
Link to Publication
Cited by: 30+

“AI-Driven Cryptographic Techniques for Smart Healthcare Systems”
Published in IEEE Transactions on Industrial Informatics (2021)
Link to Publication
Cited by: 75+

“Data Security in IoT Networks: A Blockchain Approach”
Published in International Journal of Engineering and Industries (2020)
Link to Publication
Cited by: 45+

“Mobile and Wireless Network Security: Challenges and Solutions”
Published in Journal of Advanced Transportation (2019)
Link to Publication
Cited by: 60+

 

Obsa Gilo Wakuma | Computer Science | Best Researcher Award

Posted on by sciencefather

Dr. Obsa Gilo Wakuma | Computer Science | Best Researcher Award

Ass. Prof, Wallaga University, Ethiopia

Dr. Obsa Gilo Wakuma is a dedicated computer scientist specializing in deep learning and domain adaptation. With extensive experience in academia, he has contributed significantly to the field through his research and teaching. Dr. Obsa has held various positions at Wallaga University, Ethiopia, and currently serves as a research scholar at the Indian Institute of Technology Patna, India. His expertise spans multiple programming languages and database management systems, making him a versatile and valuable contributor to the field of computer science.

Profile

Strengths for the Award:

  1. Extensive Research Background: Dr. Obsa Gilo has a robust academic background, culminating in a Ph.D. in Computer Science and Engineering with a focus on deep learning approaches for efficient domain adaptation. His research in domain adaptation, particularly in sensor data and image classification, showcases his innovative contributions to the field.
  2. Publications: Dr. Gilo has a significant number of publications in reputed journals and conference proceedings. Notable among them are:
    • “Kernel bures metric for domain adaptation in sensor data” in Expert System with Applications (2024)
    • “Subdomain adaptation via correlation alignment with entropy minimization for unsupervised domain adaptation” in Pattern Analysis and Applications (2024)
    • “Rdaot: Robust unsupervised deep sub-domain adaptation through optimal transport for image classification” in IEEE Access (2023)
  3. Teaching and Mentoring: His employment history includes roles such as Lecturer and Graduate Assistant at Wallaga University, demonstrating his commitment to education and mentoring the next generation of scholars.
  4. Skills and Competencies: Dr. Gilo possesses strong technical skills in various programming languages, databases, and web development technologies, along with proficiency in English, Afaan Oromoo, and Amharic. This multilingual ability enhances his capacity to engage with diverse communities.
  5. Community Service: His experience includes academic research, teaching, training, consultation, and community service, reflecting a well-rounded professional dedicated to both academic and societal contributions.

Areas for Improvement:

  1. Practical Community Impact: While Dr. Gilo has an impressive academic and research portfolio, there could be more emphasis on the practical application of his research directly benefiting local communities. Highlighting specific projects or initiatives where his work has directly impacted community development would strengthen his case.
  2. Collaboration with Local Institutions: Greater collaboration with local institutions and involvement in projects addressing community-specific issues could further enhance his profile. Establishing partnerships with local universities, NGOs, or governmental bodies to implement his research findings in real-world settings would be beneficial.
  3. Visibility and Outreach: Increasing the visibility of his work through public lectures, community workshops, or outreach programs can help in demonstrating the broader societal impact of his research. Engaging with the community through these platforms can showcase the practical benefits of his research.

 

Education: 🎓

Dr. Obsa Gilo Wakuma holds a Ph.D. in Computer Science and Engineering from the Indian Institute of Technology Patna, with a thesis on “Deep Learning Approaches for Efficient Domain Adaptation.” He earned his M.Sc. in Computer Science from Wallaga University, where he developed an Information Extraction Model for Afaan Oromo news texts. Dr. Obsa also holds a B.Sc. in Computer Science from Wallaga University and has a strong foundation from Sibu Sire Preparatory and High School.

Experience: 💼

Dr. Obsa’s professional journey includes roles such as Recorder and Laboratory Technician at Wallaga University. He progressed to become a Graduate Assistant, Lecturer, and finally a Research Scholar at IIT Patna. His career reflects a blend of administrative, technical, and academic responsibilities, showcasing his diverse skill set and commitment to the field.

Research Interests: 🔍

Dr. Obsa’s research interests lie in deep learning, domain adaptation, and unsupervised learning. He has focused on developing efficient methods for domain adaptation in sensor data and image classification, contributing to several high-impact publications. His work aims to enhance the applicability and robustness of machine learning models in diverse environments.

Awards: 🏆

Dr. Obsa has been recognized for his academic excellence and research contributions throughout his career. He has received accolades for his innovative work in domain adaptation and deep learning, highlighting his role as a prominent researcher in the field of computer science.

Publications

  1. Unsupervised Sub-Domain Adaptation Using Optimal Transport. Journal of Visual Communication and Image Representation, 94, 103857. Cited by: 1 article.
  2. Kernel Bures Metric for Domain Adaptation in Sensor Data. Expert System with Applications, 255(Part C), 124725. Cited by: 1 article.
  3. Subdomain Adaptation via Correlation Alignment with Entropy Minimization for Unsupervised Domain Adaptation. Pattern Analysis and Applications, 27(1), 13. Cited by: 1 article.
  4. RDAOT: Robust Unsupervised Deep Sub-Domain Adaptation through Optimal Transport for Image Classification. IEEE Access. Cited by: 1 article.
  5. Integration of Discriminate Features and Similarity Preserving for Unsupervised Domain Adaptation. In 2022 IEEE 19th India Council International Conference (INDICON), pp. 1–6. Cited by: 1 article.