Mr Antonio Azambuja | Indústria 4.0 | Best Researcher Award |

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Mr. Antonio Azambuja | Indústria 4.0 | Best Researcher Award.

Instituto Tecnologico de Aeronautica,Brazil

Professional Profiles:

SCOPUS

👨‍🎓 Bio Summary:

Antonio João Gonçalves de Azambuja is an accomplished researcher and academic currently pursuing a postdoctoral fellowship in the Department of Informatics at the Federal University of Rio Grande do Sul (UFRGS), Brazil. His research focuses on social engineering in network and system security, particularly automated bots and artificial intelligence actions. Additionally, Antonio is a visiting researcher at Technische Universität Darmstadt, Germany, where he delves into cybersecurity and AI within Industry 4.0. His extensive academic journey includes two doctoral degrees, multiple specializations, and significant contributions to cybersecurity and information management.

🎓 Education:

Antonio is currently pursuing a second Ph.D. in Space Technologies Management at the Instituto Tecnológico de Aeronáutica (ITA), focusing on a cybersecurity maturity model for Industry 4.0, under the guidance of Prof. Dr. Vilson Rosa de Almeida. He holds a Ph.D. in Science Education from UFRGS, where his dissertation developed an information architecture maturity model to mitigate social impacts related to privacy, security, and information loss in Big Data. Antonio earned his Master’s in Knowledge Management and Information Technology from the Universidade Católica de Brasília, specializing in cybersecurity maturity models for federal public administration. He also completed various post-graduate programs in strategic IT management, software engineering, and information security.

🔍 Research Focus:

Antonio’s research primarily revolves around cybersecurity, artificial intelligence, and their applications in Industry 4.0. His interests include developing maturity models for cybersecurity, investigating social engineering attacks using automated bots, and enhancing cyber defense mechanisms. He is also actively involved in exploring the intersection of cybersecurity with Big Data and digital twins in industrial contexts.

🏆 Honors & Awards:

Throughout his academic career, Antonio has been recognized for his contributions to cybersecurity and information management. He has received multiple accolades for his innovative research and has been invited to present his work at numerous national and international conferences. His dedication to advancing cybersecurity practices within the public and industrial sectors has earned him respect and acknowledgment in the academic community.

Professional Experience: 💼

Antonio is currently a postdoctoral researcher at UFRGS, working under the mentorship of Prof. Dr. Lisandro Zambenedetti Granville and Prof. Dr. Jéferson Campos Nobre. He also serves as a visiting researcher at Technische Universität Darmstadt, Germany, under Prof. Dr. Reiner Anderl and Prof. Dr. Benjamin Schleich. Antonio is a researcher at the Naval War College’s Scenario Simulation Laboratory, focusing on cybersecurity and cyber defense, led by Prof. Dr. Max Campos. His professional journey includes roles in academia and collaborative research projects across Brazil and Germany.

 📚 Top Noted Publications :

Digital Twins in Industry 4.0 – Opportunities and Challenges Related to Cyber Security

Authors: de Azambuja, A.J.G., Giese, T., Schützer, K., Schleich, B., Rosa Almeida, V.

Journal: Procedia CIRP

Year: 2024

Pages: 25–30

Citations: 1

 

Artificial Intelligence-Based Cyber Security in the Context of Industry 4.0—A Survey

Authors: de Azambuja, A.J.G., Plesker, C., Schützer, K., Schleich, B., Almeida, V.R.

Journal: Electronics (Switzerland)

Year: 2023

Volume and Issue: 12(8)

Article Number: 1920

Citations: 29

 

Analysis of Cyber Security Features in Industry 4.0 Maturity Models

Authors: de Azambuja, A.J.G., Kern, A., Anderl, R.

Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Year: 2022

Volume: 13106 LNCS

Pages: 91–106

Citations: 0

Author Metrics 📊 : 

Antonio’s contributions to the field of cybersecurity are well-documented in various high-impact publications. His work is frequently cited, reflecting the significance and influence of his research. He has co-authored multiple articles with prominent researchers, contributing valuable insights into cybersecurity and information management.

📅 Research Timeline:

Antonio’s research timeline demonstrates a progressive and focused approach to cybersecurity and information management. Beginning with his Master’s research on cybersecurity maturity models, he advanced to developing comprehensive frameworks for Big Data security during his first Ph.D. His current postdoctoral work and second Ph.D. continue to build on these foundations, exploring advanced cybersecurity solutions for Industry 4.0.

Ms Feruz Elmay | Digital asset management | Best Researcher Award |

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Ms. Feruz Elmay | Digital asset management  | Best Researcher Award.

Khalifa University, United Arab Emirates

Professional Profiles:

SCOPUS

GOOGLE SCHOLAR

ORCID

👨‍🎓 Bio Summary:

Feruz Elmay, an adept professional in the realm of Electrical and Computer Engineering, hails from Abu Dhabi, UAE. With a comprehensive educational background and notable expertise in blockchain technology, artificial intelligence, and computer security, Feruz stands at the forefront of technological innovation.

🎓 Education:

Feruz pursued her higher education at Khalifa University of Science and Technology in Abu Dhabi, UAE. She earned a Bachelor of Science in Computer Engineering, followed by a Master of Science in Electrical and Computer Engineering, achieving commendable GPAs in both programs.

🔍 Research Focus:

Feruz’s research primarily revolves around blockchain technology and its applications in various domains. She has delved into areas such as blockchain-based traceability in logistics and shipping, NFTs for trusted traceability in digital twins, and artificial intelligence for water-energy nexus demand forecasting.

🏆 Honors & Awards:

Throughout her academic journey, Feruz has been recognized for her outstanding achievements. She secured a Full International Scholarship for her bachelor’s degree, received certificates of appreciation for academic excellence, and was honored on the Dean’s and President’s lists for her exemplary performance.

Professional Experience: 💼

Feruz has garnered valuable experience through her roles at Khalifa University of Science and Technology. As a Research Associate, she has contributed extensively to blockchain-related projects, including smart contract development and academic publications. Her previous position as a Research and Teaching Assistant equipped her with diverse skills in smart contract coding, testing, and analysis.

📚 Top Noted Publications :

Elmay, F.K., Salah, K., Jayaraman, R., Omar, I.A. (2022). “Using NFTs and Blockchain for Traceability and Auctioning of Shipping Containers and Cargo in Maritime Industry.” IEEE Access, 10, 124507-124522.

Elmay, F.K., Salah, K., Yaqoob, I., Jayaraman, R., Battah, A., Maleh, Y. (2022). “Blockchain-based Traceability for Shipping Containers in Unimodal and Multimodal Logistics.” IEEE Access, 10, 133539-133556.

Alhendi, A.A., Al-Sumaiti, A.S., Elmay, F.K., Wescaot, J., Kavousi-Fard, A., et al. (2022). “Artificial Intelligence for Water–Energy Nexus Demand Forecasting: A Review.” International Journal of Low-Carbon Technologies, 17, 520-534.

Elmay, F.K., Madine, M., Salah, K., Jayaraman, R. (2023). “NFTs for Trusted Traceability and Management of Digital Twins for Shipping Containers.” IEEE International Conference on Pervasive Computing and Communications.

Elmay, F., Kadadha, M., Mizouni, R., Singh, S., Otrok, H., Mourad, A. (2024). “Digital Twins and Dynamic NFTs for Blockchain-based Crowdsourced Last-Mile Delivery.” Information Processing & Management, 61(4), 103756.

Author Metrics 📊 : 

Feruz’s scholarly work has garnered recognition in the academic community, evident from her author metrics such as citation counts and publication impact. Her publications have received citations in reputable journals and conferences, reflecting the relevance and influence of her research contributions.

📅 Research Timeline:

Feruz’s journey in research and academia has been marked by a timeline of notable milestones. From her undergraduate studies to her current role as a Research Associate, each phase has contributed to her growth as a proficient researcher and technologist, shaping her into a leader in her field.

Mr Yupeng Niu | Bioinformatics | Best Researcher Award |

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Mr Yupeng Niu | Bioinformatics | Best Researcher Award.

Sichuan Agricultural University,China

Professional Profiles:

SCOPUS

ORCID

👨‍🎓 Bio Summary:

Mr. Yupeng Niu is a dedicated student at Sichuan Agricultural University pursuing a Bachelor’s degree in Computer Science and Technology. With a remarkable Cumulative GPA of 91.70/100, he stands out as the 15th among 202 students in his class. His academic journey has been adorned with numerous accolades, including national and provincial awards for his outstanding performance in competitions such as the “Innovation Cup” National College Students’ Employment Competence Competition and the IEEE UV Innovation Solution Competition.

🎓 Education:

From September 2021 to June 2025, Mr. Niu is pursuing his Bachelor’s degree in Computer Science and Technology at Sichuan Agricultural University, as part of the prestigious 211 Project and Double First-Class Initiative. He has demonstrated academic excellence with a cumulative GPA of 91.70/100, securing the 15th position out of 202 students. His coursework includes fundamental subjects such as Python Programming, Linear Algebra, and Circuit Theory, among others.

🔍 Research Focus:

Mr. Niu’s research interests encompass a diverse array of topics within the realm of computer science and technology. He has demonstrated proficiency in AI applications, particularly in the fields of image recognition, predictive modeling, and natural language processing. His recent projects have focused on areas such as detection algorithms for agricultural applications, predictive modeling for vaccine distribution, and peptide screening for biomedical purposes.

🏆 Honors & Awards:

Throughout his academic journey, Mr. Niu has been consistently recognized for his outstanding achievements. He has received prestigious honors including a National Special Prize in the “Innovation Cup” National College Students’ Employment Competence Competition, First Prize in the IEEE UV Innovation Solution Competition, and Second Prize in the China Robot Competition and TechChallenge. His contributions have also been acknowledged with provincial awards and recognition in various extracurricular competitions.

Professional Experience: 💼

Mr. Niu’s professional experience encompasses diverse roles, including his tenure as an Algorithm Intern at Baidu, where he was entrusted with responsibilities such as preprocessing datasets and training models using Baidu PaddlePaddle Easy DL. He was later appointed as a Baidu PaddlePaddle Developer Technical Expert, contributing significantly to the development of online courses and serving as a leader within the Baidu PaddlePaddle Pioneer Group

📚 Top Noted Publications :

Title: Efficient screening of pharmacological broad-spectrum anti-cancer peptides utilizing advanced bidirectional Encoder representation from Transformers strategy

Authors: Niu, Y., Li, Z., Chen, Z., … Wei, J., Mu, J.

Journal: Heliyon

Volume and Issue: 10(9)

Pages: e30373

Year: 2024

 

Title: YOLO-plum: A high precision and real-time improved algorithm for plum recognition

Authors: Niu, Y., Lu, M., Liang, X., Wu, Q., Mu, J.

Journal: PLoS ONE

Volume and Issue: 18(7 July)

Pages: e0287778

Year: 2023

Citations: 3

 

Title: Application of Deep Learning in Image Recognition of Citrus Pests

Authors: Jia, X., Jiang, X., Li, Z., … Wang, Y., Niu, Y.

Journal: Agriculture (Switzerland)

Volume and Issue: 13(5)

Pages: 1023

Year: 2023

Citations: 4

 

Title: Vaccine Prediction and Distribution Model under the New Situation in China Based on Informer

Authors: Niu, Y., Xu, J., Tan, J.

Conference: 6th IEEE International Conference on Universal Village, UV 2022

Year: 2022

 

Author Metrics 📊 : 

As a prolific researcher, Mr. Niu has demonstrated impressive author metrics, with publications in reputable journals and conferences. His works have garnered attention within the academic community, as reflected in citation counts and impact factors. His contributions have contributed to advancing knowledge and fostering innovation in his areas of expertise.

📅 Research Timeline:

Mr. Niu’s research journey spans multiple projects and initiatives, each marked by significant achievements and milestones. From his early endeavors in agricultural detection algorithms to his recent focus on biomedical applications of AI, he has continuously pushed the boundaries of knowledge and innovation. His timeline reflects a trajectory of growth and impact, with each project contributing to his development as a researcher and a leader in his field.