Hsing-Chung Chen | Blockchain Technology | Best Researcher Award

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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

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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.