Prof Velislava Lyubenova | Process monitoring | Best Researcher Award |

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Prof. Velislava Lyubenova | Process monitoring | Best Researcher Award

Bulgarian Academy of Science, Bulgaria

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR 

 👨‍🎓 Bio Summary:

Prof. Velislava Noreva Lyubenova is a distinguished researcher and professor at the Institute of Robotics, Bulgarian Academy of Sciences. With a strong background in mechatronic bio/technological systems, she has made significant contributions to the field through her innovative research and leadership in various scientific projects. Her dedication to advancing knowledge and technology is reflected in her numerous publications and successful collaborations.

🎓 Educational Background:

Prof. Lyubenova earned her Doctor of Sciences degree in 2016, with a dissertation focused on “Monitoring the Kinetics of Biotechnological Processes.” She previously completed her Doctorate at the Technical University of Sofia, specializing in bioengineering. Additionally, she holds an MSc in Radio Electronics from the same institution, showcasing her solid technical foundation and commitment to continuous learning.

🔍 Research Focus:

Prof. Lyubenova’s research primarily centers on mechatronic bio/technological systems, with an emphasis on developing intelligent systems for monitoring and controlling biotechnological processes. Her work integrates robotics, automation, and bioengineering, addressing the challenges in the field and contributing to advancements in biotechnology.

🏆 Honors & Awards:

Throughout her career, Prof. Lyubenova has received several accolades, including the “Marin Drinov” award from the Bulgarian Academy of Sciences, recognizing her substantial contributions to intelligent system development. Her achievements reflect her commitment to excellence in research and innovation.

💼 Professional Experience:

Prof. Lyubenova has held various academic positions at the Bulgarian Academy of Sciences since 1992, currently serving as a Professor and head of the Department of Mechatronic Bio/Technological Systems. She has led numerous national and international projects, supervised PhD students, and coordinated Erasmus programs, demonstrating her leadership and collaborative spirit in academia.

📚 Top Noted Publications :

Indirect Adaptive Linearizing Control of a Class of Bioprocesses – Estimator Tuning Procedure
Authors: M.N. Ignatova, V.N. Lyubenova, M.R. García, C. Vilas, A.A. Alonso
Citations: 30
Index: Journal of Process Control
Year of Publication: 2008

Kinetic Characteristics of Alcohol Fermentation in Brewing: State of Art and Control of the Fermentation Process
Authors: V. Shopska, R. Denkova, V. Lyubenova, G. Kostov
Citations: 19
Index: Fermented Beverages
Year of Publication: 2019

Control of Biotechnological Processes: New Formalization of Kinetics – Theoretical Aspects and Applications
Authors: M. Ignatova, V. Lyubenova
Citations: 15
Index: Saarbrücken: LAP LAMBERT Academic Publishing, GmbH & Co
Year of Publication: 2011

Adaptive Control of Fed-Batch Process for Poly-Beta-Hydroxybutyrate Production by Mixed Culture
Authors: M. Ignatova, V. Lyubenova
Citations: 14
Index: Comptes Rendus – Académie Bulgare des Sciences
Year of Publication: 2007

Adaptive Control of the Simultaneous Saccharification—Fermentation Process from Starch to Ethanol
Authors: S. Ochoa, V. Lyubenova, J.U. Repke, M. Ignatova, G. Wozny
Citations: 12
Index: Computer Aided Chemical Engineering
Year of Publication: 2008

Conclusion:

Velislava Noreva Lyubenova appears to be a highly qualified candidate for the Best Researcher Award. Her extensive research background, leadership in scientific projects, and commitment to education make her a strong contender. While there are areas for improvement, such as enhancing her language skills and diversifying her publication venues, her existing strengths significantly outweigh these factors.

Assoc Prof Dr Yong xing Jiao | Material processing | Best Researcher Award |

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Assoc Prof Dr. Yong xing Jiao | Material processing | Best Researcher Award.

Taiyuan University of Science and Technology, China

Professional Profiles:

SCOPUS

 👨‍🎓 Bio Summary:

Assoc. Prof. Dr. Yongxing Jiao is an accomplished academic and researcher specializing in large-scale forging technologies, with a particular focus on microstructure uniformity and defect control in high-end manufacturing components. His work has significantly contributed to the advancement of numerical simulation techniques and innovative processes for ring components. Currently serving as an Associate Professor at Taiyuan University of Science and Technology, Dr. Jiao is also a dedicated Master’s Supervisor, mentoring the next generation of engineers.

🎓 Educational Background:

Dr. Jiao earned his Ph.D. in Engineering from Taiyuan University of Science and Technology, where he also completed his postdoctoral research. His academic journey has been marked by a rapid progression through various roles, reflecting his dedication and expertise in his field

🔍 Research Focus:

Dr. Jiao’s research centers on the development of new technologies and theories for large-scale forging, with a strong emphasis on the numerical simulation of ring components. His work aims to enhance the uniformity of microstructures and minimize defects in large forgings, which are critical for the reliability and performance of high-end equipment

🏆 Honors & Awards:

Throughout his career, Dr. Jiao has been recognized for his innovative contributions to engineering. He has secured and led several provincial-level research projects and participated in national-level projects. His work has resulted in three authorized national invention patents, underscoring his role as a leader in forging technology innovation

💼 Professional Experience:

Dr. Jiao’s professional career began at Taiyuan University of Science and Technology, where he quickly rose from Lecturer to Associate Professor. His academic and research contributions have been instrumental in securing his current position, where he continues to push the boundaries of forging technology

📚 Top Noted Publications :

Title: Research on Hot Deformation Behavior and Microstructure Evolution Mechanism of GH4169 Superalloy
Authors: Jiao, Y., Qi, Q., Gong, Y., Zhou, F., Li, X.
Citations: 0
Index: Materials Today Communications
Year of Publish: 2024

Title: Hot Deformation Behavior and Comparison of Different Constitutive Models of As-Cast ER8 Steel
Authors: Chen, F., Jia, Z., Zhang, X., Li, F., Zhang, X.
Citations: 0
Index: Metallurgical Research and Technology
Year of Publish: 2023

Title: Research on the Behaviour and Mechanism of Void Welding Based on Multiple Scales
Authors: Shi, R., Yu, X., Chen, H., Chen, F., He, S.
Citations: 1
Index: High Temperature Materials and Processes
Year of Publish: 2023

Title: Static Recrystallization Behavior of 17CrNiMo6 Steel
Authors: Duan, X., Li, K., Jiao, Y., Wang, M., He, L.
Citations: 1
Index: Jinshu Rechuli/Heat Treatment of Metals
Year of Publish: 2022

Title: Void Evolution Behavior and Closure Criterion Inside Large Shaft Forgings During a Forging Process
Authors: Jiao, Y., Zhou, C., Liu, J., Zhang, X., He, W.
Citations: 3
Index: Materiali in Tehnologije
Year of Publish: 2021

Conclusion:

Dr. Yongxing Jiao presents a strong case for the Researcher Award, particularly due to his innovative contributions to large-scale forging technologies and his solid track record of securing research funding and publishing in reputable journals. His rapid career advancement and role as a mentor further underline his suitability for the award.

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.

Dr Norman Lotter | Flowsheet Development | Best Researcher Award |

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Dr. Norman Lotter | Flowsheet Development | Best Researcher Award.

Flowsheets Metallurgical Consulting Inc, Canada

Professional Profiles:

SCOPUS

👨‍🎓 Bio Summary:

Dr. Norman Owen Lotter is a distinguished Consulting Engineer with extensive expertise in metallurgical flowsheet development and mineral processing. His illustrious career spans over five decades, marked by groundbreaking research, leadership in project management, and a commitment to excellence in the field of engineering.

🎓 Education:

Dr. Lotter earned his Bachelor of Science in Chemistry from Natal University, followed by a Master of Science in Chemical Engineering from the University of Cape Town. He furthered his academic pursuits with a Ph.D. in Metallurgical Engineering from McGill University, solidifying his expertise in the intricate processes of metallurgy and materials science.

🔍 Research Focus:

With a keen focus on process mineralogy and flowsheet development, Dr. Lotter has dedicated his career to optimizing mineral processing operations. His research endeavors have centered on enhancing recovery rates, improving concentrate quality, and streamlining production processes in the mining industry.

🏆 Honors & Awards:

Throughout his career, Dr. Lotter has been the recipient of numerous prestigious awards, including the CIM Distinguished Lecturer in recognition of his contributions to better flowsheet development. He was also honored with the Fray International Sustainability Award for his pioneering work in sustainable mineral processing practices.

Professional Experience: 💼

Dr. Lotter’s professional journey includes pivotal roles at renowned organizations such as Falconbridge Limited, Xstrata plc, and Glencore. He has served as a Consulting Metallurgist, Manager of Process Mineralogy, and Technical Superintendent, overseeing critical projects and driving innovation in mineral processing techniques.

📚 Top Noted Publications :

Flowsheet development for and commissioning of the Kamoa-Kakula project
Authors: Lotter, N.O., Whiteman, E., Hoffman, M.C., Amos, S.R., Groenewald, A.
Published in Minerals Engineering, 2024, 210, 108671

Sampling – A key tool in modern process mineralogy
Authors: Lotter, N.O., Evans, C.L., Engstrőm, K.
Published in Minerals Engineering, 2018, 116, pp. 196–202
Citations: 18

The business value of best practice process mineralogy
Authors: Lotter, N.O., Baum, W., Reeves, S., Arrué, C., Bradshaw, D.J.
Published in Minerals Engineering, 2018, 116, pp. 226–238
Citations: 29

Process mineralogy as a predictive tool for flowsheet design to advance the Kamoa project
Authors: Whiteman, E., Lotter, N.O., Amos, S.R.
Published in Minerals Engineering, 2016, 96-97, pp. 185–193
Citations: 21

Classification of the Major Copper Sulphides into semiconductor types, and associated flotation characteristics
Authors: Lotter, N.O., Bradshaw, D.J., Barnes, A.R.
Published in Minerals Engineering, 2016, 96-97, pp. 177–184
Citations: 48

Author Metrics 📊 : 

Dr. Lotter’s scholarly contributions have been widely recognized, with his papers garnering significant citations and acclaim within the scientific community. His impactful research has influenced advancements in mineral processing practices and continues to inspire future generations of engineers and researchers.

📅 Research Timeline:

Over the years, Dr. Lotter’s research journey has evolved, from his early explorations into mixed collector flotation reagents to his groundbreaking work in process mineralogy and flowsheet optimization. His timeline reflects a steadfast commitment to innovation and excellence in the field of mineral processing.