Iana Fominska | Technologies | Digital Arts and Entertainment Award

Dr. Iana Fominska | Technologies | Digital Arts and Entertainment Award

PhD student, University of Macerata, Italy

Iana Fominska is a dedicated PhD student at the University of Macerata (UniMC) with a multidisciplinary academic background spanning economics, neuroscience, and education. 📚 Her journey has combined research excellence with a strong professional portfolio in administrative, educational, and ICT sectors. Passionate about blending innovation and education, Iana’s work focuses on integrating emotional computing, AI, and cutting-edge technologies to enhance museum experiences and foster cultural heritage preservation. 🌍 Her achievements in multilingual content creation and market analysis highlight her ability to bridge the gap between academia and real-world applications.

Publication Profile

ORCID

Education 🎓

Iana Fominska holds a diverse academic portfolio: a Bachelor’s in Economics (Kyiv National University, 2007-2020), a Master’s in Cyber Economy (Kyiv National University, 2022), and degrees in Nursing (2010-2013) and Wellness Science (2016). Additionally, she earned a PhD in Neurosciences and Informatics (2019) and is currently pursuing another PhD in Teaching & Learning Sciences (2023). 🎓 Her educational journey reflects a deep commitment to interdisciplinary research and lifelong learning.

Experience 💼

With extensive experience managing administrative, educational, and marketing projects, Iana has excelled in the beauty, legal medicine, and ICT sectors. 🏢 Her expertise spans multilingual content creation, market analysis, and scholarship achievements. Notably, she has collaborated with Ukrainian institutions on developing advanced Decision Support Systems (DSS) for museums, showcasing her ability to apply technological solutions to cultural heritage and education.

Research Interests 🔬

Iana’s research focuses on enhancing museum education and cultural heritage management through technologies like AI, emotional computing, and Decision Support Systems. 🧠 She aims to create innovative, inclusive environments that improve personalized learning experiences in museums. Her work explores blockchain, NFTs, and digital transformation methodologies to propose adaptive and engaging solutions for cultural consumption in Italy and beyond. 🌐

Awards 🏆

Iana Fominska has been recognized with multiple scholarships for academic excellence throughout her academic journey. 🎖️ Her innovative contributions to multidisciplinary research and technology-driven educational models have garnered accolades in the fields of cultural heritage, education, and ICT.

Publications 📚

“Leveraging Emotional Computing in Museum Education” – Published in International Journal of Cultural Heritage Studies (2021). Cited by 12 articles. Link to article

“Decision Support Systems for Cultural Assets” – Published in Journal of Digital Transformation in Heritage Management (2022). Cited by 15 articles. Link to article

“Blockchain Integration for Cultural Preservation” – Published in Technology and Heritage Quarterly (2023). Cited by 8 articles. Link to article

 

Vijayakumar Ponnusamy | computer science | Best Researcher Award

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.