Victor R.L. Shen | Computer Science | Best Researcher Award

Published on by Book of Award

Prof. Dr. Victor R.L. Shen | Computer Science | Best Researcher Award

National Taipei University | Taiwan

Prof. Dr. Victor R. L. Shen is a highly accomplished scholar and Professor Emeritus in the Department of Computer Science and Information Engineering at National Taipei University, Taiwan. With an extensive academic background, including a Ph.D. in Computer Science from National Taiwan University, he has dedicated decades to advancing research and education in artificial intelligence, Petri net theory, fuzzy logic, cryptography, e-learning systems, IoT, and intelligent computing. Over his distinguished career, he has published 78 documents that collectively received 840 citations across 696 sources, earning him an h-index of 15, reflecting both the depth and impact of his contributions. Beyond his prolific research, Prof. Shen has held prominent academic leadership positions, including Dean, Chairman, and CEO roles at National Taipei University and Ming Chi University of Technology, shaping academic programs and fostering innovation. His global recognition includes visiting professorships, membership in leading professional organizations such as IEEE, ACM, and IET, and numerous prestigious awards for teaching, research, and innovation. With sustained contributions in smart systems, advanced computing, and AI-driven education, Prof. Shen continues to influence the global academic community, leaving a legacy of excellence in both research and pedagogy.

Profiles : Scopus | Orcid

Featured Publications

Yang, C.-Y., Lin, Y.-N., Shen, V. R. L., Shen, F. H. C., & Lin, Y.-C. (2025). Petri net modeling and analysis of an IoT-enabled system for real-time monitoring of eggplants. Systems Engineering.

Yang, C.-Y., Lin, Y.-N., Shen, V. R. L., Shen, F. H. C., & Jheng, W.-S. (2025). A novel IoT-enabled system for real-time monitoring home appliances using Petri nets. IEEE Canadian Journal of Electrical and Computer Engineering.

Chang, J.-C., Chen, S.-A., & Shen, V. R. L. (2024). Smart bird identification system based on a hybrid approach: Petri nets, convolutional neural and deep residual networks. Multimedia Tools and Applications, 83(12), 34795–34823.

Yang, C.-Y., Lin, Y.-N., Shen, V. R. L., Tung, Y.-C., & Lin, J.-F. (2024). A novel IoT-enabled system for real-time face mask recognition based on Petri nets. IEEE Internet of Things Journal, 11(4), 6992–7001.

Yang, C.-Y., Lin, Y.-N., Wang, S.-K., Shen, V. R. L., & Lin, Y.-C. (2024). An edge computing system for fast image recognition based on convolutional neural network and Petri net model. Multimedia Tools and Applications, 83(5), 12849–12873.

Yang, C.-Y., Hwang, M.-S., Tseng, Y.-W., Yang, C.-C., & Shen, V. R. L. (2024). Advancing financial forecasts: Stock price prediction based on time series and machine learning techniques. Applied Artificial Intelligence, 38(1), 1–24.

Lin, Y.-N., Wang, S.-K., Chiou, G.-J., Yang, C.-Y., Shen, V. R. L., & Su, Z. Y. (2023). Development and verification of an IoT-enabled air quality monitoring system based on Petri nets. Wireless Personal Communications, 131(1), 63–87.*

 

Swathi Priyadarshini Tigulla | Computer Science | Best Researcher Award

Published on by Book of Award

Dr. Swathi Priyadarshini Tigulla | Computer Science | Best Researcher Award

Osmania University | India

Author Profile

Scopus

Early Academic Pursuits

Dr. Swathi Priyadarshini Tigulla laid the foundation of her academic journey with a degree in Information Technology, followed by a master’s program in Information Technology with a specialization in network security. Her pursuit of advanced knowledge culminated in a doctoral degree in Computer Science and Engineering from Osmania University. From the beginning, she demonstrated a strong inclination toward solving computational problems and a keen interest in the emerging domains of artificial intelligence, machine learning, and network security.

Professional Endeavors

Her professional career reflects an extensive teaching and mentoring journey across reputed institutions. She began her career as an Assistant Professor in engineering colleges where she taught computer science, network security, and software engineering, and guided student projects. Over the years, she progressed to significant academic roles, including serving as Head of the Department, coordinating extracurricular activities, and contributing to student training and placement. Presently, she continues her academic engagement as an Assistant Professor specializing in artificial intelligence and machine learning, while also actively mentoring projects and participating in innovative academic initiatives such as GEN-AI teams and project schools.

Contributions and Research Focus

Dr. Tigulla’s research is strongly anchored in artificial intelligence, machine learning, and soft computing, with a particular focus on healthcare applications such as heart stroke prediction models. Her publications have proposed innovative approaches that integrate clustering, classification, and deep learning techniques to enhance medical predictions, combining accuracy with practical applicability. Beyond healthcare, her work also explores security strategies in cloud computing and data-driven approaches to protect systems from vulnerabilities. This blend of healthcare informatics and cyber security positions her research at the intersection of technology and community impact.

Accolades and Recognition

Her expertise has been recognized through publications in reputed international journals such as Measurement: Sensors and Journal of Positive School Psychology, along with contributions to international conferences under IEEE. She has served as a reviewer for scholarly journals and academic book chapters, demonstrating her standing as a trusted evaluator in her field. Her involvement as an organizer of technical workshops, hackathons, and project expos reflects her commitment to academic innovation and student skill development, further reinforcing her recognition as a versatile academic leader.

Impact and Influence

The impact of Dr. Tigulla’s work is evident in both her research outcomes and her teaching contributions. Her models for heart stroke prediction contribute significantly to community health by combining artificial intelligence with real-world medical applications. As an educator, she has influenced generations of students by equipping them with knowledge in machine learning, artificial intelligence, and advanced computational concepts. Her leadership in academic events has fostered a culture of innovation, creativity, and hands-on learning among students, thereby extending her influence beyond traditional teaching.

Legacy and Future Contributions

Dr. Tigulla’s legacy is one of blending research excellence with community benefit. By focusing on both healthcare prediction models and system security, she has addressed two domains of immense social importance—public health and digital trust. Looking forward, her future contributions are expected to further deepen the integration of artificial intelligence into real-world applications, enhance her role as a reviewer and academic guide, and continue her efforts to shape students into innovative researchers and industry-ready professionals.

Publications

Article: Developing Heart Stroke Prediction Model using Deep Learning with Combination of Fixed Row Initial Centroid Method with Naïve Bayes, Decision Tree, and Artificial Neural Network
Authors: T. Swathi Priyadarshini, Vuppala Sukanya, Mohd Abdul Hameed
Journal: Measurement: Sensors
Year: 2024

Article: Collaboration of Clustering and Classification Techniques for Better Prediction of Severity of Heart Stroke using Deep Learning
Authors: T. Swathi Priyadarshini, Vuppala Sukanya, Mohd Abdul Hameed
Journal: Measurement: Sensors
Year: 2025

Article: Deep Learning Prediction Model for Predicting Heart Stroke using the Combination Sequential Row Method Integrated with Artificial Neural Network
Authors: T. Swathi Priyadarshini, Mohd Abdul Hameed, Balagadde Ssali Robert
Journal: Journal of Positive School Psychology
Year: 2022

Article: Methods of Hidden Pattern Usage in Cloud Computing Security Strategies with K-means Clustering
Authors: T. Swathi Priyadarshini, Dr. S. Ramachandram
Journal: AIJREAS
Year: 2021

Article: A Review on Security Issue Solving Methods in Public and Private Cloud Computing
Authors: T. Swathi Priyadarshini, S. Ramachandram
Journal: IJMTST
Year: 2020

Conclusion

Dr. Swathi Priyadarshini Tigulla embodies the qualities of an academician and researcher who successfully bridges the gap between theoretical advancements and community impact. Her journey, marked by academic rigor, extensive teaching experience, and impactful research, showcases her dedication to advancing artificial intelligence and machine learning for practical applications. Recognized as both a researcher and a mentor, she continues to inspire through her contributions in education, healthcare, and cyber security. In conclusion, her career highlights a sustained commitment to knowledge, innovation, and community-oriented research, establishing her as a distinguished academic voice in the field of computer science and engineering.

 

Mukhtar Hassan | Arts and Humanities | Best Researcher Award

Published on by Book of Award

Mr. Mukhtar Hassan | Arts and Humanities | Best Researcher Award

Amoud University | Somalia

Author Profile

Orcid

Early Academic Pursuits 📚

Mr. Mukhtar Hassan's educational journey reflects a strong commitment to both academic excellence and professional development. He earned a Master in Research and Data Analysis with honors from Amoud University in 2024, following a Master in Business Administration with honors from Admas University in 2022. His academic foundation is further supported by certifications such as CompTIA A+, Cisco, and Certified Accountant Technician from ACCA. His early education included a B.A. in Business Administration and a Diploma in ICT from the University of Hargeisa. This diverse educational background has equipped him with a comprehensive skill set applicable to both business and technology sectors.

Professional Endeavors 🚀

Mr. Hassan's professional career showcases his expertise in international relief efforts, finance, and logistics. He has excelled in various roles, including his current position as a Lecturer in Data Science and Data Analysis at Amoud University. In this role, he designs and delivers course content, mentors students, and engages in scholarly research. His previous experience includes serving as the Head of the Finance Section at the Ministry of Education and Science, where he managed financial operations, risk assessments, and compliance. His extensive background in finance includes roles with UNICEF and the Ministry of Education & Higher Education, where he managed budgets, financial reporting, and logistics.

Contributions and Research Focus 🔬

Mr. Hassan's research and professional focus are centered on enhancing educational and financial systems through data analysis and management. His work in academia involves developing curricula, conducting research, and advocating for data literacy. His contributions to finance include improving financial reporting processes and optimizing resource management. His research is notable for its practical applications in improving operational efficiency and financial oversight in international relief contexts.

Accolades and Recognition 🏅

Throughout his career, Mr. Hassan has been recognized for his dedication and expertise in both finance and education. His advanced degrees, professional certifications, and leadership roles reflect his commitment to excellence. His role in various workshops and seminars further highlights his expertise and influence in financial reporting, policy frameworks, and youth leadership training.

Impact and Influence 🌍

Mr. Hassan's impact extends across academia, finance, and international relief efforts. His work in data science and financial management has contributed to the development of more effective educational programs and efficient financial operations. His ability to work in multicultural settings and lead capacity-building projects has made a significant difference in the organizations he has been part of, particularly in improving financial practices and educational outcomes.

Legacy and Future Contributions 🌟

Looking forward, Mr. Hassan is poised to continue making substantial contributions to his fields of expertise. His ongoing research, teaching, and professional activities will likely drive further advancements in data science, financial management, and international relief efforts. His legacy will be marked by his ability to integrate advanced data analysis with practical applications, enhancing both educational and financial systems globally.

 

Publications

📄Predicting Student Dropout Rates Using Supervised Machine Learning: Insights from the 2022 National Education Accessibility Survey in Somaliland

Authors: Mukhtar Hassan, Abdisalam Hassan Muse, Saralees Nadarajah
Journal: Applied Sciences
Year: 2024

 

Anastasios Liapakis | Computer Science | Best Researcher Award

Published on by Book of Award

Assist Prof Dr. Anastasios Liapakis | Computer Science | Best Researcher Award

University of West Attica | Greece

Author Profile

Orcid

Google Scholar

Early Academic Pursuits 📚

Dr. Anastasios Liapakis embarked on his academic journey with a strong foundation in Agricultural Engineering at the Agricultural University of Athens, where he completed his B(Eng) with a commendable grade of 7.27/10. Driven by a passion for data and analytics, he pursued a Master of Business Administration (MBA) specializing in Data Analytics at the same institution. His dedication and academic excellence earned him a top grade of 8.59/10. Dr. Liapakis continued his pursuit of knowledge by obtaining a PhD in Informatics, focusing on Big Data Analytics in Agricultural Digital Markets. His research in this area, completed with an "Excellent" grade, laid the groundwork for his future contributions to the field.

Professional Endeavors 🚀

Dr. Liapakis has held several key academic positions that have shaped his career. He is currently an Adjunct Assistant Professor at the University of West Attica, where he teaches modules on E-governance and Databases. His experience spans various institutions, including the University of Peloponnese, where he taught Programming II, and the National & Kapodistrian University of Athens, where he delivered courses on Object-Oriented Programming, Software Systems Design, and e-Government Systems. As the Academic Head of the Informatics Department at New York College, Athens, he managed programs in Computing, Software Engineering, and Data Analytics, showcasing his leadership and expertise in the field.

Contributions and Research Focus 🔬

Dr. Liapakis' research interests lie at the intersection of Artificial Intelligence (AI), Big Data Analytics, and Cultural Heritage Information Management. He has made significant contributions to the understanding and application of AI in various domains, particularly in opinion mining and big data analytics. His work has been instrumental in developing innovative solutions for the agricultural sector, including automated monitoring and control systems against pests in the Mediterranean region. His research projects, funded by the EU, have had a profound impact on the industry, highlighting his ability to bridge the gap between academia and real-world applications.

Accolades and Recognition 🏆

Throughout his career, Dr. Liapakis has been recognized for his outstanding academic performance and research contributions. He received multiple scholarships and financial awards, including one from the Agricultural University of Athens for his exceptional performance in the MBA program and another from the Greek State Scholarships Foundation during his undergraduate studies. His research has also garnered accolades, including a Best Paper Award at the International Journal of Computational Linguistics in 2020, solidifying his reputation as a leading researcher in his field.

Impact and Influence 🌍

Dr. Liapakis' work has had a significant impact on the academic community and beyond. His research in big data analytics and AI has influenced how these technologies are applied in various sectors, particularly in agriculture and food industries. His contributions to sentiment analysis, particularly in the context of the Greek language, have provided valuable insights for both academia and industry. Additionally, his involvement in PhD supervision and as a reviewer for various research journals demonstrates his commitment to shaping the future of research in his field.

Legacy and Future Contributions 🌟

As Dr. Liapakis continues to advance his research in AI and big data, his legacy is one of innovation and dedication to the application of cutting-edge technologies in solving real-world problems. His ongoing work in cultural heritage information management and his leadership in academic programs ensure that his contributions will continue to influence future generations of researchers and practitioners. Dr. Liapakis' vision for integrating AI into various sectors, coupled with his extensive experience and accolades, positions him as a thought leader poised to make lasting contributions to both academia and industry.

 

Publications

  • 📝A Sentiment Analysis Approach for Exploring Customer Reviews of Online Food Delivery Services: A Greek Case
    Authors: Fragkos, N.; Liapakis, A.; Ntaliani, M.; Ntalianis, F.; Costopoulou, C.
    Journal: Preprints 2024, 2024041203
    Year: 2024
  • 📝Ethical Use of Artificial Intelligence and New Technologies in Education 5.0
    Authors: Liapakis, A., Smyrnaiou, Z., & Bougia, A.
    Journal: International Journal of Artificial Intelligence, Machine Learning and Data Science
    Year: 2023
  • 📝Big Data, Sentiment Analysis, and Examples during the COVID-19 Pandemic
    Authors: Diareme, K. C., Liapakis, A., & Efthymiou, I.
    Journal: HAPSc Policy Briefs Series
    Year: 2022
  • 📝An Aspect-Based Sentiment Analysis System to Analyze Customers’ Reviews from Food and Beverage Opinion and Review Webpages: The Greek Case
    Authors: Liapakis, A., Tsiligiridis, T., Yialouris, C., & Costopoulou, C., Diareme, K.C.
    Journal: Information (Accepted for publication)
    Year: 2021
  • 📝A Corpus-Driven, Aspect-Based Sentiment Analysis to Evaluate in Almost Real-Time, a Large Volume of Online Food & Beverage Reviews
    Authors: Liapakis, A., Tsiligiridis, T., Yialouris, C., & Maliappis, M.
    Journal: International Journal of Computational Linguistics (IJCL)
    Year: 2020

 

Nizar Bitar | Social Sciences | Best Researcher Award

Published on by Book of Award

Mr. Nizar Bitar | Social Sciences | Best Researcher Award

The Max Stern Yezreel Valley College | Israel

Author Profile

Orcid

Early Academic Pursuits 🎓

Mr. Nizar Bitar embarked on his academic journey with a Bachelor's degree in Computer Sciences and Information Systems from The Max Stern Yezreel Valley College (1998-2001). He furthered his education by obtaining a Teaching Certificate from The Academic Arab College for Education in Israel (2004-2006). In 2011, he earned his M.Ed. from Oranim College of Education. Currently, he is pursuing a Ph.D. in Education at Ariel University, a testament to his ongoing commitment to academic growth.

Professional Endeavors 🏢

Mr. Bitar's professional career is marked by a steady rise through various academic ranks. He began as a Teaching Assistant in the Department of Information Systems at The Max Stern Yezreel Valley College (2003-2016). He then advanced to the role of Lecturer, contributing significantly to both the Information Systems and Economics and Management departments (2012-present). His administrative roles have been equally impressive, including positions such as Head of Digital Pedagogy and Head of the Social Department in the Dean of Students' Office.

Contributions and Research Focus 📚

Mr. Bitar's research and professional activities focus on the integration of technology in education, particularly through Artificial Intelligence and Learning Management Systems. He has been instrumental in numerous committees aimed at improving teaching quality and advancing digital pedagogy. His involvement extends beyond his institution, contributing to national efforts such as the Israeli Consortium of Faculty Development Centers and MEITAL, where he has been a peer reviewer and committee member for several national conferences.

Accolades and Recognition 🏆

Mr. Bitar's dedication to his field has earned him significant recognition. In 2019, he received the Best Action Research Paper award from the Academy of Management, Organization Development, and Change Division in Boston. Recently, in 2024, he was awarded a scholarship from The Albiader Foundation based on socioeconomic and professional factors, further highlighting his contributions and potential in the academic community.

Impact and Influence 🌟

Throughout his career, Mr. Bitar has had a profound impact on the integration of digital tools in education. His work has influenced the development of digital pedagogy, fostering a more inclusive and effective learning environment. As a member of various national steering committees, his insights have helped shape the future of technology-enhanced learning in higher education across Israel.

Legacy and Future Contributions 🌍

Mr. Bitar's legacy is characterized by his commitment to advancing educational methodologies and his dedication to fostering student success. As he continues his Ph.D. studies and professional endeavors, his future contributions are poised to further enhance the academic landscape, particularly in the realm of digital learning and pedagogical innovation. His ongoing work promises to leave a lasting impact on the academic community and beyond.

 

Publications 📄

Transforming Pedagogy: The Digital Revolution in Higher Education

📚 Journal: Education Sciences
📅 Year: 2024
✍️ Authors: Nizar Bitar; Nitza Davidovitch

 

Navigating New Norms: Lecturers’ Insights on Digital Learning Integration in Higher Education—A Case of Israel

📚 Journal: Education Sciences
📅 Year: 2024
✍️ Authors: Nizar Bitar; Nitza Davidovitch

 

Self-in-Field Action Research in Natural Spaces of Encounter: Inclusion, Learning, and Organizational Change

📚 Journal: International Review of Qualitative Research
📅 Year: 2020
✍️ Authors: Victor J. Friedman; Javier Simonovich; Nizar Bitar; Israel Sykes; Oriana Abboud-Armali; Daniella Arieli; Lubna Tannous-Haddad; Jay Rothman; Ilan Shdema; Mor Dar et al.

 

When Diversity and Conflict Meet: Self-in-Field Action Research for Inclusive Organizations

📚 Journal: Academy of Management Proceedings
📅 Year: 2019
✍️ Authors: Victor Friedman; Javier Simonovich; Nizar Bitar; Israel Sykes