Hsiu-Ju Chen | Technology | Best Researcher Award

Prof. Hsiu-Ju Chen | Technology | Best Researcher Award

Professor at I-Shou University, Taiwan

Dr. Hsiu-Ju Chen is an accomplished academic and researcher in the fields of educational technology, e-learning systems, human–computer interaction, and technology acceptance models. With over 15 years of prolific research, she has consistently explored how digital systems influence learning behavior, workplace adaptation, and consumer decision-making. Her work integrates models such as the Technology Acceptance Model (TAM), IS Success Model, and Expectation-Confirmation Theory to investigate user experiences across various digital platforms.

🔹Professional Profile:

Scopus Profile

Google Scholar Profile

🎓Education Background

Dr. Hsiu-Ju Chen possesses a solid academic foundation in educational technology, information systems, and behavioral research. While detailed institutional and degree-specific data (such as university names and graduation years) are not explicitly listed in the available sources, her extensive publication record and research focus suggest advanced graduate-level training in these disciplines. Her work spans multiple theoretical frameworks including the Technology Acceptance Model (TAM), Information System (IS) Success Model, and Expectation-Confirmation Model, often applied within higher education and digital learning environments.

💼 Professional Development

Dr. Hsiu-Ju Chen is currently engaged in academic teaching and research at a university level, focusing on digital learning environments, user behavior analysis, and educational innovations. Her academic contributions span across internationally recognized journals and interdisciplinary applications in education, business, and information systems.

🔬Research Focus

  • Technology Acceptance Models (TAM, IS Success Model, TR Index)

  • E-learning and M-learning systems

  • Human-computer interaction and user engagement

  • Social media behavior and subjective well-being

  • AI and ChatGPT integration in education

  • Organizational learning and innovation adoption

  • Gamification, scarcity, and consumer behavior

📈Author Metrics:

Dr. Chen is a well-established researcher with a growing global academic impact. According to her Google Scholar profile, she has amassed over 770 citations, demonstrating wide recognition of her research. She holds an h-index of 13 and an i10-index of 16, reflecting both the depth and consistency of her scholarly contributions. On Scopus, Dr. Chen holds an h-index of 7 with 214+ citations, primarily from her publications in reputed journals such as Computers & Education, Education and Information Technologies, and Activities, Adaptation & Aging. Her author metrics confirm her as a respected contributor to the fields of e-learning, user behavior, and digital innovation in education.

Awards & Honors

  • Recognized for high-impact research in educational technology and user behavior analytics

  • Frequent contributor to top-tier journals including:

      • Computers & Education

    • Education and Information Technologies

    • Asia Pacific Journal of Marketing and Logistics

    • Activities, Adaptation & Aging

  • Pioneering researcher on the integration of ChatGPT and AI into classroom pedagogy

📝Publication Top Notes

1. Integrating Amazon Web Services Academy into University Classes Through Learning by Doing: A Pretest-Posttest Design and Partial Least Squares Analysis

  • Author: H.J. Chen

  • Journal: Journal of College Science Teaching

  • Year: 2025

  • Pages: 1–8

  • Summary:
    This study explores the integration of AWS Academy into university classrooms using a “learning by doing” pedagogical model. It employs a pretest-posttest design and Partial Least Squares (PLS) path modeling to assess learning effectiveness and technological adoption.

2. Older Adults and Social App Use: A Subjective Well-Being Perspective

  • Author: H.J. Chen

  • Journal: Activities, Adaptation & Aging, Volume 48, Issue 2

  • Pages: 214–238

  • Year: 2024

  • Summary:
    Investigates how the use of social media applications influences subjective well-being among older adults in Taiwan, highlighting the role of digital inclusion in mental health and social satisfaction.

3. The Different Value of Facebook for Taiwanese Older Adults

  • Author: H.J. Chen

  • Journal: Activities, Adaptation & Aging, Volume 48, Issue 1

  • Pages: 53–79

  • Year: 2024

  • Summary:
    Analyzes how older adults in Taiwan perceive Facebook’s personal and social value, offering insights into how platform features contribute to digital engagement and aging support systems.

4. Assessing the Influence of Optimism on Users’ Continuance Use Intention of ChatGPT: An Expectation-Confirmation Model Perspective

  • Author: H.J. Chen

  • Journal: International Journal of Management Studies and Social Science Research

  • Volume: 6

  • Year: 2024

  • Summary:
    Applies the Expectation-Confirmation Model (ECM) to understand how users’ optimism influences their continued use intention of ChatGPT, contributing to AI adoption and behavioral technology research.

5. Clarifying the Impact of Surprise in E-learning System Design Based on University Students with Multiple Learning Goals Orientation

  • Author: H.J. Chen

  • Journal: Education and Information Technologies, Volume 25, Issue 6

  • Pages: 5873–5892

  • Year: 2020

  • Citations (Google Scholar): 21

  • Summary:
    Explores how the element of surprise in e-learning interface design affects learner engagement, particularly among students with diverse goal orientations. The findings support user-centric instructional design in digital learning platforms.

.Conclusion:

Prof. Hsiu-Ju Chen is a highly deserving candidate for the Best Researcher Award in Technology, given her strong academic profile, consistent publication record, and pioneering work on the integration of AI and user-centered technology in education. Her research is timely, relevant, and well-aligned with current global trends in digital learning, human-computer interaction, and technology acceptance.

Final Verdict: Strongly recommended for the Best Researcher Award in Technology

Adla Padma | Blockchain | Best Researcher Award

Ms. Adla Padma | Blockchain | Best Researcher Award

Research Scholar at  VIT Vellore, India 📝

Dr. Adla Padma is an Assistant Professor (On Contract) in the School of Computer Science Engineering and Information Systems (SCORE) at Vellore Institute of Technology (VIT), Vellore, Tamil Nadu. With over six years of teaching and research experience, Dr. Padma is deeply involved in cutting-edge research in blockchain technology, IoT, and privacy preservation frameworks. Her current research focuses on developing efficient blockchain-enabled privacy preservation systems for smart environments. She is passionate about leveraging her academic background and expertise to contribute to the advancement of emerging technologies in computer science.

Profile    

Scopus Profile

Google Scholar Profile 

Education 🎓

Dr. Adla Padma has a strong academic foundation in Computer Science Engineering, beginning with her Bachelor’s degree (B.Tech) from KBR Engineering College, Yadadri Bhuvanagiri, Telangana, where she graduated with a percentage of 79.94% in 2012. She then pursued her Master’s degree (M.Tech) in Computer Science Engineering at Sri Indu Institute of Engineering and Technology, Rangareddy, Telangana, completing it in 2016 with an impressive 82.75%. Currently, she is a Ph.D. candidate at Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, where she has submitted her thesis on an efficient blockchain-enabled privacy preservation framework for IoT smart environments. Throughout her academic journey, Dr. Padma has consistently demonstrated a commitment to excellence, both in her studies and in her ongoing research contributions to the field of computer science.

Professional Experience 💼

Dr. Padma’s academic career spans over six years, during which she has held positions as an Assistant Professor both at Sri Indu Institute of Engineering and Technology and VIT. Currently, as a faculty member at VIT, she is focusing on research in the fields of blockchain, IoT, and smart environments. She has guided students on various projects, including deep learning models for earthquake prediction and has presented talks on blockchain to B.Tech students. Prior to her position at VIT, she worked as an Assistant Professor in the Department of Computer Science & Engineering at Sri Indu Institute of Engineering and Technology from 2016 to 2020.

Research Interests 🔬

Dr. Adla Padma’s research interests lie at the intersection of cutting-edge technologies such as blockchain, the Internet of Things (IoT), and privacy preservation frameworks. She is particularly focused on developing efficient and scalable blockchain solutions for IoT smart environments, with an emphasis on ensuring privacy and security. Additionally, her work explores the design and analysis of algorithms, machine learning, and artificial intelligence techniques, aiming to address real-world challenges in data management and system optimization. Dr. Padma is also interested in web technologies, particularly in enhancing user experiences through novel image search models, and advancing the field of programming languages, with expertise in C, C++, Python, and Java. Her research aims to contribute to the evolution of smart systems and secure, decentralized environments in various technological domains.

Author Metrics 🏆

  • Publications:
    Dr. Padma has made significant contributions to the academic community, particularly in the areas of blockchain technology, IoT, and privacy preservation. Notably, she has received the Raman Research Award for her publications in these fields, including titles such as “GLSBIoT: GWO-based enhancement for lightweight scalable blockchain for IoT with trust-based consensus” and “Blockchain Based Efficient and Secure Privacy Preserved Framework for Smart Cities.”
  • Reviewer & Conference Roles:
    Dr. Padma serves as a technical reviewer for the American Journal of Information Science and Technology (2024-2027) and has also been a reviewer for the ic-ETITE’24 2nd IEEE International Conference conducted by VIT. She has taken an active role as Technical Panel Incharge and Organizing Committee Member for the same conference.
  • Awards:
    She has been honored with the Raman Research Award for her impactful research contributions, underscoring the recognition of her work within the academic community.

Awards and Achievements 🏆

  • Raman Research Award for the publication titled “GLSBIoT: GWO-based enhancement for lightweight scalable blockchain for IoT with trust-based consensus,” VIT, Vellore.
  • Raman Research Award for the publication titled “Blockchain Based Efficient and Secure Privacy Preserved Framework for Smart Cities,” VIT, Vellore.
  • Technical Reviewer for the American Journal of Information Science and Technology (2024-2027).
  • Technical Reviewer for the ic-ETITE’24 2nd IEEE International Conference, VIT.
  • Technical Panel Incharge and Organizing Committee Member for ic-ETITE’24 2nd IEEE International Conference, VIT

Publications Top Notes 📚

  1. Blockchain based an efficient and secure privacy-preserved framework for smart cities
    • Authors: A Padma, M Ramaiah
    • Journal: IEEE Access
    • Publication Year: 2024
    • Volume: 19
  2. A review of security vulnerabilities in industry 4.0 applications and the possible solutions using blockchain
    • Authors: M Ramaiah, V Chithanuru, A Padma, V Ravi
    • Book: Cyber Security Applications for Industry 4.0
    • Pages: 63-95
    • Publication Year: 2022
    • Publisher: Springer
  3. Detecting security breaches on smart contracts through techniques and tools: A brief review – Applications and challenges
    • Authors: A Padma, R Mangayarkarasi
    • Conference: International Conference on Information and Management Engineering
    • Pages: 361-369
    • Publication Year: 2022
  4. GLSBIoT: GWO-based enhancement for lightweight scalable blockchain for IoT with trust-based consensus
    • Authors: A Padma, M Ramaiah
    • Journal: Future Generation Computer Systems
    • Volume: 159
    • Pages: 64-76
    • Publication Year: 2024
  5. A Technologies Study on Trending for IoT Use Cases Aspires to Build Sustainable Smart Cities
    • Authors: M Ramaiah, RM Yousuf, R Vishnukumar, A Padma
    • Book: Intelligent Systems and Sustainable Computational Models: Concepts
    • Publication Year: 2024

Conclusion

Dr. Adla Padma is a highly qualified candidate for the Best Researcher Award. Her expertise in blockchain, IoT, and privacy preservation is well-aligned with current global technological challenges, particularly in the development of smart cities. Her impressive academic background, impactful publications, and significant contributions to research make her a standout figure in her field.