Christos Roumeliotis | Computer Science | Young Scientist Award

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Mr. Christos Roumeliotis | Computer Science | Young Scientist Award

Electrical & Computer Engineering University of Western Macedonia Greece

Christos Roumeliotis is an accomplished Electrical and Computer Engineer specializing in Biomedical Technology, Healthcare, and Blockchain applications in energy. With a keen entrepreneurial spirit, he has been recognized in Forbes 30 Under 30 Greece and is an active member of the IEEE. As a young leader, he has held notable positions in the IEEE Student Branch and worked in various technology-driven roles.

Profile

Orcid.org

🎓 Education:

Christos completed his integrated MSc in Electrical and Computer Engineering from the University of Western Macedonia (UoWM). His academic journey has been complemented by a Reciprocal Scholarship and active participation in IEEE initiatives.

💼 Experience:

Christos serves as a Business Development Partner at Because Group, focusing on innovative marketing solutions. He co-founded Innovation Bee, where he leads as CEO, providing strategic AI-driven solutions across industries. He also co-founded Gridustry, a blockchain-based energy certification and trading company, aiming to optimize green energy market systems.

🔬 Research Interests:

Christos’s research spans Biomedical Technology for health solutions, Blockchain in energy, and smart contracts. His projects include blockchain-based Peer-to-Peer Energy Trading, green certificates, and a non-invasive wearable for Multiple Sclerosis monitoring.

🏆 Awards:

  • IEEE CS 20 in their 20s List (2023): Recognized among emerging leaders in Computer Science and Engineering.
  • Forbes 30 Under 30 Greece (2023): Featured among Greece’s dynamic young professionals.
  • Green Cities Competition (2022): Won 2nd place for innovative solutions in sustainable city development.

📄 Publications Top Notes:

“A Comprehensive Survey of Blockchain in IoT,” 2024. Intelligent Computing on IoT 2.0, Taylor & Francis. Co-authored with Konstantina Banti and others, this survey highlights IoT innovations and blockchain applications across industries.

“Blockchain and Digital Twins in Smart Industry 4.0,” 2024. Designs, DOI. This review discusses blockchain-integrated digital twins, analyzing Industry 4.0 applications and benefits.

Arturo Benayas Ayuso | Computer Science | Best Researcher Award

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Prof. Arturo Benayas Ayuso | Computer Science | Best Researcher Award

PhD Candidate, Universidad Politécnica de Madrid, Spain

Arturo Benayas Ayuso is a highly skilled Naval Architect with a distinguished career in naval shipbuilding and digital transformation. He currently leads the integration of the “El Cano” platform at NAVANTIA, spearheading Industry 4.0 innovations in ship design, construction, and management. His expertise in integrating PLM systems and IoT into shipbuilding projects has positioned him as a leader in naval digitization. Fluent in multiple languages, Arturo also serves as a lecturer, sharing his knowledge of statistics at Universidad Complutense de Madrid. 🚢💡

Publication Profile

ORCID

Education

Arturo holds a Master’s in Naval Architecture from Universidad Politécnica de Madrid and is currently pursuing a PhD, focusing on IoT applications in ship design, shipbuilding, and management. His academic background, combined with his professional experience, allows him to seamlessly bridge the gap between theory and practice in the maritime industry. 🎓📚

Experience

As the Integration Lead of NAVANTIA’s “El Cano” platform, Arturo manages the digitization and PLM integration of naval shipbuilding processes. His past roles include overseeing the FORAN-PLM integration for Spain’s S80 submarine and collaborating on several high-profile naval projects, including the Royal Navy’s CVF program. His work has consistently focused on improving digital workflows in naval engineering using systems like Windchill and Teamcenter PLM. 🛠️⚙️

Research Focus

Arturo’s research revolves around applying IoT technology to ship design and manufacturing. His work aims to enhance the efficiency of shipbuilding processes by integrating advanced digital tools and IoT into ship management systems. This focus on Industry 4.0 in naval architecture ensures future-ready solutions in naval engineering. 🔍🌐

Awards and Honors

Arturo has contributed significantly to both industry and academia, sharing his insights at conferences like RINA and publishing in prestigious industry magazines. His thought leadership in naval shipbuilding and PLM system integration has earned him recognition within the maritime and technology sectors. 🏅📜

Publications

Integrated Development Environment in Shipbuilding Computer Systems – ICAS 2011, cited in studies related to shipbuilding digitization

Automated/Controlled Storage for an Efficient MBOM Process in Shipbuilding Managing IoT Technology – RINA, 2018, discussed in articles on smart ship management

Data Management for Smart Ship: Reducing Machine Learning Cost in IoS Applications – RINA, 2018, frequently referenced in works on IoT and machine learning integration

Miin-Shen Yang | Computer Science | Best Researcher Award

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Prof Dr. Miin-Shen Yang | Computer Science | Best Researcher Award

Distinguished Professor,Chung Yuan Christian University, Taiwan

👨‍🏫 Miin-Shen Yang is a distinguished scholar and professor specializing in applied mathematics and artificial intelligence. He has made significant contributions to fuzzy clustering, machine learning, and soft computing. Currently serving as a Life Distinguished Professor at Chung Yuan Christian University (CYCU), Taiwan, Dr. Yang is highly regarded in the scientific community for his innovative research. He is also recognized among the top 0.5% of scholars globally by ScholarGPS and Stanford University’s Top 2% Scientists.

Publication Profile

ORCID

Strengths for the Award:

  1. Extensive Academic Background: Miin-Shen Yang has earned degrees in mathematics and statistics from prestigious institutions, with a Ph.D. from the University of South Carolina, USA. His long-standing association with Chung Yuan Christian University (CYCU), Taiwan, adds to his academic credibility.
  2. Research Impact: His research areas—statistics, clustering algorithms, fuzzy clustering, soft computing, pattern recognition, and machine learning—are crucial in modern scientific and technological advancements, especially in the AI-driven era.
  3. Global Recognition: Miin-Shen Yang’s inclusion in Stanford University’s Top 2% Scientists and ScholarGPS’s global top 0.5% demonstrates the international recognition of his work and significant contributions to artificial intelligence, image processing, and related fields.
  4. Editorial Roles: He served as an Associate Editor for IEEE Transactions on Fuzzy Systems and remains on the Editorial Board of Electronics (MDPI). These roles show his influence in shaping scientific discourse in his fields of expertise.
  5. Leadership in Academia: As a Distinguished Professor and previous Chairperson and Dean of the College of Science at CYCU, he has demonstrated not only research expertise but also leadership in academic governance.

Areas for Improvement:

  1. Broader Collaborations: While Miin-Shen Yang’s contributions are notable in the fields of applied mathematics and artificial intelligence, there could be a stronger emphasis on collaborative projects across interdisciplinary fields such as biostatistics or environmental data science, which are becoming increasingly critical for global research challenges.
  2. Applied Research and Industry Connections: Strengthening connections between his academic research and real-world industrial applications could further enhance the societal impact of his work, especially in sectors like healthcare, energy, or environmental sustainability where AI and machine learning are emerging as transformative tools.
  3. Public Engagement and Outreach: Additional efforts to disseminate his research through public engagement activities, workshops, or conferences that target both academic and non-academic audiences could raise the visibility and practical applicability of his findings.

Education

🎓 Miin-Shen Yang holds a B.S. in Mathematics from Chung Yuan Christian University (1977), an M.S. in Applied Mathematics from National Chiao-Tung University (1980), and a Ph.D. in Statistics from the University of South Carolina, Columbia, USA (1989).

Experience

💼 Dr. Yang joined CYCU in 1989 and became a Professor in 1994. He has held several key positions, including Department Chair, Director of the Chaplain’s Office, and Dean of the College of Science. He also served as a Visiting Professor at the University of Washington from 1997 to 1998.

Research Focus

🔬 Dr. Yang’s research interests span applications of statistics, fuzzy clustering, machine learning, soft computing, pattern recognition, and artificial intelligence. His contributions have significantly advanced clustering algorithms and AI-related technologies.

Awards and Honors

🏅 Dr. Yang has been recognized among Stanford University’s Top 2% Scientists and listed among ScholarGPS global top 0.5% scholars. He has also served as an Associate Editor for IEEE Transactions on Fuzzy Systems and is currently an Editorial Board Member for the journal Electronics.

Publications (Top Notes)

📚 Dr. Yang has published extensively on fuzzy clustering and artificial intelligence in leading journals. His works have been widely cited, marking his influence in the field.

“Fuzzy Clustering Algorithms and Applications” – Published in 2015 in Pattern Recognition Letters. Cited by 100+ articles

Conclusion:

Miin-Shen Yang is an exceptional candidate for the Research for Best Research Award, with a strong and diversified research portfolio in applied mathematics, artificial intelligence, and machine learning. His global recognition, academic leadership, and editorial contributions demonstrate his significant impact on the scientific community. While further strengthening his research collaborations across broader disciplines and emphasizing real-world applications could enhance his overall impact, his current achievements make him a highly competitive and deserving nominee for the award.

Ammar Chouchane | Pattern recognition | Best Researcher Award

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Dr. Ammar Chouchane | Pattern recognition | Best Researcher Award

Associate professor, University centre of Barika, Algeria

Dr. Ammar Chouchane, an Associate Professor at the University Centre of Barika, Algeria, has been recognized for his outstanding contributions in the field of pattern recognition. 🏆 His pioneering research has earned him the prestigious Best Researcher Award, highlighting his dedication and expertise in this domain. Dr. Chouchane’s work exemplifies innovation and excellence, serving as a testament to his commitment to advancing knowledge and technology. Through his endeavors, he continues to inspire and shape the future of pattern recognition, leaving a lasting impact on both academia and industry. 🌟

Profile

Scopus

Education

Dr. Ammar Chouchane’s academic journey reflects a remarkable commitment to excellence and innovation. 📚 He earned his PhD in Electronics, Signals, and Communications from the University of Biskra, Algeria, in June 2016. His doctoral research focused on image analysis of facial expressions and head orientation using depth data, showcasing his expertise in cutting-edge technology. Prior to this, he obtained his Master’s degree in Electronics and Telecommunications in June 2011, specializing in the development of a board system for measuring human blood pressure. 🎓 Dr. Chouchane’s educational foundation began with a Bachelor’s degree in Electronics with a focus on signals and systems, followed by his Baccalaureate in natural science in June 2009 and 2004, respectively.

Experiences 

Dr. Ammar Chouchane has held esteemed academic positions, showcasing his dedication to both research and education. 🎓 From September 2023 until now, he serves as an Associate Professor (MCA) at the University Center of Barika, Algeria, contributing to the advancement of knowledge in his field. Prior to this, he held a similar role at the University of Dr. Yahia Fares, Médéa, Algeria, from October 2018 to September 2023. His academic journey began with a stint as a Temporary Assistant Teacher at the University of Mohamed Khider Biskra, Algeria, from April 2013 to 2018, concurrently teaching Physics at a middle school from September 2014 to 2018.

Research Interest

Dr. Ammar Chouchane has held esteemed academic positions, showcasing his dedication to both research and education. 🎓 From September 2023 until now, he serves as an Associate Professor (MCA) at the University Center of Barika, Algeria, contributing to the advancement of knowledge in his field. Prior to this, he held a similar role at the University of Dr. Yahia Fares, Médéa, Algeria, from October 2018 to September 2023. His academic journey began with a stint as a Temporary Assistant Teacher at the University of Mohamed Khider Biskra, Algeria, from April 2013 to 2018, concurrently teaching Physics at a middle school from September 2014 to 2018.

Publications Top Notes

Multilinear subspace learning for person re-identification based fusion of high order tensor features

Year: 2024

Authors: A. Chouchane, M. Bessaoudi, H. Kheddar, A. Ouamane, T. Vieira, M. Hassaballah

Journal: Engineering Applications of Artificial Intelligence

Link: http://doi.org/10.1016/j.engappai.2023.107521

A new multidimensional discriminant representation for robust person re-identification

Year: 2023

Authors: Chouchane, Ammar; Mohcene Bessaoudi; Elhocine Boutellaa; Abdelmalik Ouamane

Journal: Pattern Analysis and Applications

Pages: 1-14

High-order knowledge-based Discriminant features for kinship verification

Year: 2023

Authors: E. Belabbaci, M. Khammari, A. Chouchane, A. Ouamane, M. Bessaoudi, Y. Himeur, M. Hassaballah

Journal: Pattern Recognition Letters

Volume: 175

Pages: 30-37

AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions

Year: 2023

Authors: Y. Habchi, Y. Himeur, H. Kheddar, A. Boukabou, S. Atalla, A. Chouchane, A. Ouamane, W. Mansoor

Journal: Systems

Volume: 11

Issue: 10

Pages: 519

A new multidimensional discriminant representation for robust person re-identification

Year: 2023

Authors: Chouchane, A., Bessaoudi, M., Boutellaa, E., Ouamane, A.

Journal: Pattern Analysis and Applications

Pages: 1-14

Multilinear subspace learning using handcrafted and deep features for face kinship verification in the wild

Year: 2021

Authors: M. Bessaoudi, A. Chouchane, A. Ouamane, E. Boutellaa

Journal: Applied Intelligence

Pages: 1-14

Multilinear Side-Information based Discriminant Analysis for face and kinship verification in the wild

Year: 2018

Authors: M. Bessaoudi, A. OUAMANE, M. Belahcene, A.CHOUCHANE, BOUTELLAA, Elhocine, S. Bourennane

Journal: Neurocomputing