Prof. Dr. YiSheng Huang | Computer Science | Best Researcher Award

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Prof. Dr. YiSheng Huang | Computer Science | Best Researcher Award

Professor, National Ilan University/EE, Taiwan

Dr. Yi-Sheng Huang is a distinguished Professor at National Ilan University, Taiwan, with a remarkable career in Electrical and Electronic Engineering. Holding a Ph.D. from National Taiwan University of Science and Technology (NTUST), he has significantly contributed to Discrete Event Dynamic Systems, Petri Nets, and Intelligent Transportation Systems (ITS). Recognized among the World’s Top 2% Scientists (1960–2023), his expertise spans both theoretical advancements and real-world applications, shaping the future of smart mobility and automation. With leadership roles in academia and international collaborations, Dr. Huang continues to drive impactful research and innovation in the field of intelligent systems. 🚀

Publication Profile

📚 Academic Background

Dr. Yi-Sheng Huang earned his Ph.D. in Electrical Engineering from NTUST in 2001, laying the foundation for his expertise in dynamic systems and intelligent transportation. His commitment to academic excellence led him to various leadership positions, including Chairman of the Department of Electrical Engineering at National Ilan University (2015–2019) and Dean of the Office of Research and Development (2023–2024). He also enriched his global academic experience as a Visiting Professor at the New Jersey Institute of Technology (2008, 2014), fostering cross-border collaborations in intelligent automation. 🎓

🏢 Professional Experience

With over two decades of academic and research contributions, Dr. Huang has completed 30 major research projects and collaborated with industry leaders such as CECI Engineering Consultants, INC., Taiwan. His consultancy work spans 6 completed and 7 ongoing industry projects, demonstrating his ability to bridge theoretical research with practical applications. He is an esteemed member of the IEEE SMC Society and IEEE ITS Society, further solidifying his influence in cutting-edge technological advancements. His extensive publication record includes 114 journal papers indexed in Scopus and SCI, reflecting his commitment to advancing the field of intelligent systems. ⚡

🏆 Awards and Honors

Dr. Huang’s research excellence has earned him a place among the World’s Top 2% Scientists (1960–2023), highlighting his profound impact on electrical engineering and intelligent systems. His work has significantly influenced transportation optimization, making urban mobility smarter and more efficient. As a leading researcher, he continues to push the boundaries of Discrete Event Dynamic Systems and Petri Nets applications, setting new standards in system modeling and control. His contributions have been acknowledged globally, reinforcing his reputation as a pioneering scientist in his field. 🏅

🔬 Research Focus

Dr. Huang’s research revolves around Discrete Event Dynamic Systems, Petri Nets, and Intelligent Transportation Systems (ITS). His work has led to advanced methodologies in traffic flow management, congestion control, and system optimization, improving urban transport networks. By integrating theoretical models with real-world applications, he has contributed to automated decision-making frameworks, enhancing efficiency and sustainability in transportation. His research is instrumental in shaping smart cities and next-generation mobility solutions, fostering safer and more efficient transport ecosystems worldwide. 🚦

🔍 Conclusion

Dr. Yi-Sheng Huang stands at the forefront of intelligent transportation research, driving significant innovations in automation and dynamic systems. His global academic presence, extensive research contributions, and impactful industry collaborations establish him as a leading figure in electrical engineering and intelligent mobility solutions. With a legacy of over 114 publications, numerous research projects, and an enduring influence in academia, Dr. Huang continues to shape the future of intelligent transportation and automated systems. 🌍🚀

📝 Top Publications

A Petri net-based model for real-time traffic control in urban networks.

Optimization of discrete event systems using hybrid Petri nets.

Modeling and performance analysis of ITS using dynamic Petri nets.

Smart transportation planning with discrete event system simulation.

Enhancing automated transport systems using intelligent Petri nets.

 

Mahfooz Alam | Cloud Computing | Best Researcher Award

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Assist. Prof. Dr. Mahfooz Alam | Cloud Computing | Best Researcher Award

Assistant professor, G. L. Bajaj College of Technology and Management, Greater Noida, India

Dr. Mahfooz Alam is an esteemed academician and researcher in the field of Computer Science, specializing in Cloud Computing, Internet of Things (IoT), Workflow Scheduling, and Machine Learning 🤖. He is currently serving as an Assistant Professor in the Department of MCA at G. L. Bajaj College of Technology and Management, Greater Noida, India 🇮🇳. With a strong academic background and years of teaching experience, Dr. Alam is dedicated to advancing knowledge in secured workflow allocation and innovative computing methodologies. His research contributions are well-recognized, with publications in reputed journals, including IEEE, Springer, Elsevier, and Wiley 📚.

Publication Profile

Google Scholar

🎓 Education

Dr. Mahfooz Alam holds a Ph.D. in Computer Science from Aligarh Muslim University (AMU), Aligarh, India 🎓. He pursued his M.Tech. in Computer Science and Engineering from Dr. A. P. J. Abdul Kalam Technical University, Lucknow. Additionally, he completed his B.C.A. and M.C.A. from Indira Gandhi National Open University (IGNOU), New Delhi. His academic journey reflects his commitment to excellence in research and innovation in computing technologies 🖥️.

💼 Experience

Dr. Alam has a wealth of teaching and research experience, having served as an Assistant Professor at Al-Barkaat College of Graduate Studies (ABCGS), Aligarh, for six years 🏫. Currently, he holds the position of Assistant Professor at G. L. Bajaj College of Technology and Management, Greater Noida. His dedication to mentoring students and contributing to research has made him a respected figure in academia. His expertise extends to cutting-edge domains such as heuristic and meta-heuristic approaches in secured workflow allocation 🔬.

🏆 Awards and Honors

Dr. Mahfooz Alam has been recognized for his significant contributions to computer science research. His work has been published in high-impact international journals and conferences, gaining citations and recognition from fellow researchers worldwide 🌍. His contributions to machine learning applications and cloud computing security have positioned him as a thought leader in the field.

🔬 Research Focus

Dr. Alam’s research primarily focuses on Cloud Computing, IoT, Workflow Scheduling, and Load Balancing ☁️. He explores innovative approaches to software defect prediction, cybersecurity in IoT, and machine learning-driven optimization techniques. His research integrates heuristic, meta-heuristic, and reinforcement learning methods to address challenges in secure computing environments 🔍.

🔚 Conclusion

Dr. Mahfooz Alam is a dedicated academician and researcher contributing extensively to cloud computing, machine learning, and IoT security. His publications, teaching, and research endeavors continue to impact the field, shaping innovative solutions for complex computational challenges 🚀. With a strong passion for advancing knowledge and technology, Dr. Alam remains a prominent figure in the global research community 🌏.

📜 Publications

Comprehensive Bibliographic Survey and Forward-Looking Recommendations for Software Defect Prediction (IEEE Access, 2025) 📖 DOI: 10.1109/ACCESS.2024.3517419

Software Defects Prediction Using Generative Adversarial Network Based Data Balancing (Book Chapter, 2025) 📖 DOI: 10.1007/978-3-031-83790-6_22

Reinforcing Defect Prediction: A Reinforcement Learning Approach  (Iran Journal of Computer Science, 2025) 📖 DOI: 10.1007/s42044-024-00214-8

Ensemble Deep Learning Techniques for Time Series Analysis (Cluster Computing, 2025) 📖 DOI: 10.1007/s10586-024-04684-0

A Levelized Multiple Workflow Heterogeneous Earliest Finish Time Allocation Model  (Algorithms, 2025) 📖 DOI: 10.3390/a18020099

Cybersecurity Challenges for Social, Ad-hoc, and Sensor Networks in IoT  (Wireless Ad-hoc and Sensor Networks, 2024) 📖 DOI: 10.1201/9781003528982-12

Performance Evaluation on Detection of Phishing Websites Using Machine Learning Techniques (ICEECT, 2024) 📖 DOI: 10.1109/iceect61758.2024.10739275

Empowering IoT Security (Book Chapter, 2024) 📖 DOI: 10.1201/9781003460367-11

A Trustworthy Hybrid Model for Transparent Software Defect Prediction: SPAM-XAI (PLOS ONE, 2024) 📖 DOI: 10.1371/journal.pone.0307112

Security Challenges for Workflow Allocation Model in Cloud Computing Environment: A Comprehensive Survey, Framework,
Taxonomy, Open Issues, and Future Directions  (Journal of Supercomputing, 2024) 📖 DOI: 10.1007/s11227-023-05873-1

Leyi Zhao | Computer Science | Best Researcher Award

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Dr. Leyi Zhao | Computer Science | Best Researcher Award

Doctor, Beijing University of Chinese Medicine, China

Dr. Leyi Zhao is a dedicated clinical doctoral researcher in Integrative Medicine at the prestigious Beijing University of Chinese Medicine. With a keen interest in digestive tract diseases, Dr. Zhao specializes in studying precancerous lesions, tumors, and the intricate relationship between the immune environment and disease progression. Passionate about blending traditional medicine with modern computational techniques, Dr. Zhao integrates computer language and data analysis to establish innovative prognostic models, enhancing clinical applications. With multiple completed and ongoing research projects, Dr. Zhao’s contributions to the field of immunotherapy and colorectal cancer prognosis are highly impactful.

Publication Profile

ORCID

🎓 Education

Dr. Zhao is currently pursuing a doctorate in Integrative Medicine at Beijing University of Chinese Medicine, a renowned institution for traditional and modern medical research. This academic journey has equipped Dr. Zhao with a strong foundation in both traditional Chinese medical practices and cutting-edge clinical research methodologies.

💼 Experience

With extensive research experience, Dr. Zhao has led and contributed to multiple research projects focusing on colorectal cancer, immune microenvironments, and predictive modeling in oncology. Through a blend of experimental studies and computational approaches, Dr. Zhao has contributed significantly to understanding the impact of tertiary lymphoid structures (TLS) on tumor prognosis and immune response. In addition to academic research, Dr. Zhao has been involved in consultancy and industry-based projects, furthering the practical application of scientific findings.

🏆 Awards and Honors

Dr. Zhao’s research excellence has been recognized through publications in high-impact journals indexed in SCI and Scopus. The innovative work in colorectal cancer prognosis and immunotherapy has garnered citations and recognition within the scientific community. As an active contributor to the field, Dr. Zhao has been nominated for the prestigious Best Researcher Award at the Cryogenicist Global Awards.

🔬 Research Focus

Dr. Zhao’s primary research focus lies in immunotherapy for tumors, particularly in colorectal cancer. The groundbreaking research involves developing a TLS-based prognostic model that explores immune cell interactions within tumors. This model holds potential for predicting patient prognosis and treatment responsiveness, offering valuable insights into personalized medicine. Furthermore, Dr. Zhao’s interdisciplinary approach integrates network pharmacology, computational modeling, and traditional Chinese medicine, enhancing the precision and effectiveness of cancer treatments.

🔗 Publications

The Impact of Tertiary Lymphoid Structures on Tumor Prognosis and the Immune Microenvironment in Colorectal Cancer. Biomedicines, 2025; 13(3):539
🔗 DOI: 10.3390/biomedicines13030539

 Limonin ameliorates indomethacin-induced intestinal damage and ulcers through Nrf2/ARE pathway. Immun Inflamm Dis, 2023; 11(2):e787
🔗 DOI: 10.1002/iid3.787

Chinese patent herbal medicine (Shufeng Jiedu capsule) for acute upper respiratory tract infections: A systematic review and meta-analysis. Integr Med Res, 2021; 10(3):100726
🔗 DOI: 10.1016/j.imr.2021.100726

Deciphering the Mechanism of Siwu Decoction Inhibiting Liver Metastasis by Integrating Network Pharmacology and In Vivo Experimental Validation. Integr Cancer Ther, 2024; 23:15347354241236205
🔗 DOI: 10.1177/15347354241236205

🔚 Conclusion

Dr. Leyi Zhao’s research contributions are shaping the future of colorectal cancer treatment and immune microenvironment analysis. With a strong foundation in integrative medicine and a passion for computational research, Dr. Zhao continues to push the boundaries of medical science, making a profound impact on oncology and personalized medicine. As a nominee for the Best Researcher Award, Dr. Zhao’s work exemplifies innovation, dedication, and a commitment to improving patient outcomes worldwide. 🌍

Chrysoula Florou | computer programming | Best Researcher Award

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Ms. Chrysoula Florou | computer programming | Best Researcher Award

PHD Doctor, University of Thessaly, Greece

👩‍💻 Chrysoula Florou is a dedicated researcher and educator specializing in the intersection of education and programming concepts. With a strong background in computer engineering and a passion for enhancing primary education through innovative tools, she has made significant contributions to improving self-assessment practices for young learners. Beyond academia, she serves as an Officer in the Hellenic Coast Guard, showcasing her versatile professional capabilities.

Publication Profile

Scopus

Education

🎓 Chrysoula’s academic journey reflects her commitment to excellence, earning a Ph.D. (2010–2025) in Electrical and Computer Engineering from the University of Thessaly with a thesis on self-assessment in programming education (“Excellent”). She holds two master’s degrees: one in Informatics focusing on Security and Big Data (2016–2018, “Excellent”) and another in Computer Science and Technology (2009–2011, “Excellent”). Additionally, she completed a diploma in Computer Engineering (2004–2009, “Very Good”) and a certified program in E-Learning Training (2012).

Experience

🧑‍🏫 Chrysoula has extensive teaching experience in programming, database applications, and multimedia at institutions like the University of Thessaly, TEI of Lamia, and DIEK Volos. In parallel, she contributed to European research projects like “cMinds” and worked in IT roles for the Ministry of Health and National Bank of Greece. Since 2011, she has served as an Officer in the Hellenic Coast Guard, balancing her technical expertise with public service.

Awards and Honors

🏆 Chrysoula has earned numerous accolades for her academic excellence, including distinctions for her master’s theses and diploma projects. Her research outcomes have been recognized by leading journals and conferences in the education and programming domains.

Research Focus

🔬 Chrysoula’s research centers on the integration of educational technologies in programming pedagogy, particularly for primary education. She explores self-assessment tools, enhancing teacher facilitation roles, and leveraging innovative software like Scratch for fostering computational thinking in young learners.

Conclusion

🌟 Chrysoula Florou exemplifies the harmony between academia, research, and public service. Her impactful work in education technology and programming continues to inspire both educators and students, shaping the future of learning in primary education.

Publications

The Role of Educators in Facilitating Students’ Self-Assessment in Learning Computer Programming Concepts: Addressing Students’ Challenges and Enhancing Learning.  Journal of Education and Information Technologies, Springer Nature Educ. DOI: 10.1007/s10639-024-13172-2

An autodidactic programming curriculum application for early education: Pilot studies and improvement suggestions.  Proceedings of the 40th SEFI Annual Conference 2012 – Engineering Education 2020: Meet the Future.

3rd graders’ experience on using an autodidactic programming software: A phenomenological perspective. Conference Paper.

 

 

Vijayakumar Ponnusamy | computer science | Best Researcher Award

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Prof. Dr. Vijayakumar Ponnusamy | computer science | Best Researcher Award

Professor, SRM IST, India

🎓 Dr. Ponnusamy Vijayakumar, a renowned academician and researcher from India, is currently a Professor in the Department of Electronics and Communication Engineering at SRM University, Kattankulathur, Tamil Nadu. With expertise spanning machine learning, wireless communication, cognitive radio, image processing, signal processing, and biomedical engineering, he has significantly contributed to cutting-edge research and innovation in these domains. A dedicated educator and a lifelong learner, he combines theoretical knowledge with practical applications to inspire the next generation of engineers. 🌟

Publication Profile

ORCID

Strengths for the Award

  1. Extensive Academic Contributions
    • Published 111 research articles in prestigious journals like IEEE Access, Diagnostics, and Electronics. His work demonstrates depth and diversity in fields such as machine learning, wireless communication, cognitive radio, and biomedical signal processing.
    • Recent impactful publications include work on federated machine learning, IoT security, and real-time monitoring, showcasing his expertise in current technological advancements.
  2. Research Grants and Industry Collaboration
    • Secured significant funding for research, including a multi-year grant from the Board of Research in Nuclear Sciences for raw data processing in X-ray baggage inspection systems, and contracts with NI AWR for projects on chaotic communication systems and V2V communication. These achievements highlight his ability to translate research into practical applications.
  3. Professional Recognition and Memberships
    • Active member of IEEE since 2012 and the Indian Science Congress Association since 2008, demonstrating his integration into global and national research communities.
  4. Teaching and Mentorship
    • A Professor at SRM University since 2005, he has contributed significantly to educating and mentoring students in electronics and communication engineering (ECE).
  5. Interdisciplinary Expertise
    • His work spans diverse areas, such as image processing, signal processing, and biomedical applications, reflecting his adaptability and interdisciplinary approach.

Areas for Improvement

  1. International Collaboration
    • While his publications and funding demonstrate significant achievements, more collaboration with international researchers or institutions could enhance the global impact of his work.
  2. Community Engagement and Outreach
    • Greater involvement in organizing or chairing international conferences, workshops, or symposiums could further establish him as a thought leader in his domain.
  3. Patent Portfolio
    • Expanding his research outputs into patented technologies might demonstrate the commercialization potential of his work and further strengthen his profile for awards.

Education

📚 Dr. Vijayakumar has a strong academic foundation, beginning with his B.E. in Electronics and Communication Engineering from the University of Madras (1996–2000). He pursued his M.E. in Applied Electronics at Anna University, Chennai (2003–2006), and later earned his Ph.D. in ECE from SRM University (2012–2018), specializing in advanced technological applications. 🎓

Experience

🔬 Since 2005, Dr. Vijayakumar has been shaping young minds and advancing research as a Professor in the Department of ECE at SRM University, Tamil Nadu. His tenure is marked by numerous successful projects, groundbreaking research, and dedication to excellence in teaching and innovation. 🏫

Research Interests

💡 Dr. Vijayakumar’s research interests are diverse, encompassing machine learning, wireless communication, cognitive radio, image processing, signal processing, and biomedical applications. His multidisciplinary approach has enabled impactful advancements in technology and healthcare. 🌐

Awards

🏆 Dr. Vijayakumar has received significant recognition for his work, securing prestigious grants and contracts, including funding from the Board of Research in Nuclear Sciences (BRNS) for innovative X-ray inspection systems, and collaborations with NI AWR (USA) on V2V communication and chaotic communication systems. His contributions continue to influence academia and industry. 🎖️

Publications

“Real-Time Monitoring and Assessment of Rehabilitation Exercises for Low Back Pain through Interactive Dashboard Pose Analysis Using Streamlit—A Pilot Study”
Electronics, 2024-09-23. DOI: 10.3390/electronics13183782

“Survey on electrocardiography signal analysis and diabetes mellitus: unraveling the complexities and complications”
International Journal of Electrical and Computer Engineering (IJECE), 2024-04-01. DOI: 10.11591/ijece.v14i2.pp1565-1571

“Enhancement of Ambulatory Glucose Profile for Decision Assistance and Treatment Adjustments”
Diagnostics, 2024-02-16. DOI: 10.3390/diagnostics14040436

“An Integrated Federated Machine Learning and Blockchain Framework With Optimal Miner Selection for Reliable DDOS Attack Detection”
IEEE Access, 2024. DOI: 10.1109/ACCESS.2024.3413076

“Genetic Algorithm and the Kruskal–Wallis H-Test-Based Trainer Selection Federated Learning for IoT Security”
IEEE Access, 2024. DOI: 10.1109/ACCESS.2024.3450836

Conclusion

Dr. Ponnusamy Vijayakumar’s prolific research output, funding achievements, and interdisciplinary expertise make him a strong candidate for the “Best Researcher Award.” His contributions to advancing technology in machine learning, cognitive systems, and biomedical engineering are notable, and his work addresses both academic and industrial challenges. Addressing areas like international collaboration and commercialization could further elevate his candidacy in future awards.

 

Vijaya bhaskar Sadu | Cloud Computing | Cloud Computing Achievement Award

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Mr. Vijaya bhaskar Sadu | Cloud Computing | Cloud Computing Achievement Award

Cloud Architect, JNTU Kakinada/ Software Engineer in USA, United States

Vijaya Bhaskar Sadu is an accomplished Cloud Data Architect at Wellsfargo Bank, USA. With over 20 years of experience in IT, he has significantly contributed to the fields of Robotics, Artificial Intelligence, Cloud Computing, Big Data, and Web Technologies. His work has garnered recognition through numerous patents, peer-reviewed journal publications, and books.

Profile

Google Scholar

 

Education 📚

Vijaya Bhaskar Sadu earned his B.Tech degree in Mechanical Engineering with distinction from JNTU Kakinada. He further pursued an M.S. in Robotics & Artificial Intelligence, also with distinction, from IIT Madras. Currently, he is a Ph.D. candidate specializing in Artificial Intelligence and Machine Learning.

Experience 💼

With two decades of experience in the IT industry, Vijaya Bhaskar Sadu has established himself as a seasoned professional and researcher. His role as a Cloud Data Architect at Wellsfargo Bank involves leveraging his expertise to innovate and optimize cloud technologies and data management solutions.

Research Interests 🔍

His primary research interests include Robotics, Artificial Intelligence, Cloud Computing, Big Data, and Web Technologies. He has been actively involved in advancing these fields through his research projects, publications, and patents.

Awards 🏆

Vijaya Bhaskar Sadu’s contributions have been recognized with several accolades. He has published 15 peer-reviewed journal articles, authored three books, and holds six patents. His work continues to make a significant impact on the fields of cloud technologies and AI.

Publications

Robotics and AI Integration in Cloud Computing – Published in Journal of Cloud Computing, 2021, cited by 15 articles.

Big Data Analytics in Financial Services – Published in International Journal of Big Data, 2020, cited by 10 articles.

Advancements in Web Technologies – Published in Web Technologies Journal, 2019, cited by 8 articles.