Suzane Beier | Bioinformatics | Best Research Article Award

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Assoc. Prof. Dr. Suzane Beier | Bioinformatics | Best Research Article Award

Assoc. Prof. Dr. Suzane Beier | Federal University of Minas Gerais | Brazil

Assoc. Prof. Dr. Suzane Beier is a distinguished academic and researcher in the field of Veterinary Anesthesiology at the Federal University of Minas Gerais, Brazil. With decades of academic contributions, she has made a significant impact through her research in anesthesia, pain management, and cardiovascular physiology in animals. Her expertise has led to the completion of over sixty research projects, alongside numerous publications in reputed journals. She has actively contributed to veterinary science through teaching, mentoring, and scientific collaborations, becoming a recognized leader in her discipline and a contributor to advancements in veterinary anesthesiology.

Publication Profile

Scopus

ORCID

Google Scholar

Education Background

Assoc. Prof. Dr. Suzane Beier obtained her Bachelor of Veterinary Medicine from the State University of Santa Catarina. She further specialized with a Residency in Veterinary Anesthesiology at São Paulo State University (FMVZ-UNESP Botucatu). Pursuing her academic journey, she completed her Master’s and Ph.D. in Anesthesiology at the São Paulo State University (FMB-UNESP Botucatu). Her rigorous academic foundation has been central to shaping her expertise in veterinary anesthesiology, with a focus on innovative anesthesia techniques, pain management, and physiological assessment in animals, forming the basis for her teaching, research, and professional leadership roles.

Professional Experience

Assoc. Prof. Dr. Suzane Beier began her academic career as a Substitute Professor of Veterinary Anesthesiology at the State University of Santa Catarina (UDESC). She currently serves as an Associate Professor of Veterinary Anesthesiology at the School of Veterinary Medicine, Federal University of Minas Gerais. Her career is marked by leadership in supervising postgraduate students, coordinating research groups, and participating in multi-institutional collaborations. She has authored nearly one hundred scientific articles, book chapters, and served on editorial boards of reputed journals. In addition, she has contributed to consultancy projects, advancing veterinary anesthesiology practices and clinical applications in both domestic and wildlife species.

Awards and Honors

Assoc. Prof. Dr. Suzane Beier has received multiple recognitions for her contributions to veterinary science and research. Among her notable honors is the Adauto Luíz Veloso Nunes Award from the Brazilian Association of Wildlife Veterinarians. Her achievements include coordinating innovative projects such as the development and adaptation of ventilator models during the pandemic, which received significant professional recognition. She has also been acknowledged for her extensive role in mentoring over one hundred students at various academic levels, alongside her editorial responsibilities in international journals. Her awards and honors reflect her dedication to scientific advancement and professional leadership in anesthesiology.

Research Focus

Her research primarily focuses on total intravenous anesthesia, locoregional anesthesia, pain assessment, stress physiology, and the renin-angiotensin system in animals. She has conducted groundbreaking work on behavioral and physiological responses to anesthesia and pain control methods in veterinary practice. Another key research area includes the development of mechanical ventilation models, which proved essential during the pandemic for translational research. She has collaborated extensively across Brazilian Federal Universities and international research groups, producing highly cited works. Her ongoing projects reflect a strong commitment to improving anesthetic techniques and welfare in both domestic and exotic animal species.

Publications 

  • Home blood pressure measurement in companion animals: underestimated or unknown?
    Published Year: 2025

  • Preliminary Pharmacokinetic Analysis of Tramadol and Its Metabolite O-Desmethyltramadol in Boa (Boa constrictor constrictor)
    Published Year: 2025

  • Analgesic and Gastrointestinal Effects of Methadone in Horses Undergoing Orchiectomy
    Published Year: 2025

  • Analgesic and Gastrointestinal Effects of Morphine in Equines
    Published Year: 2025

  • Modified perineal urethrostomy for the management of congenital urethral diverticulum in a 4-month-old feline
    Published Year: 2025

Conclusion

Assoc. Prof. Dr. Suzane Beier stands out as a highly accomplished academic and researcher whose work has advanced the field of veterinary anesthesiology. Her contributions span from innovative clinical practices to impactful research collaborations and publications. Through dedicated mentorship, she has guided numerous students at undergraduate, master’s, and doctoral levels, leaving a lasting legacy in academic development. Her international recognition, combined with strong research outputs and honors, affirms her as a prominent figure in veterinary science. Her work continues to influence advancements in pain management, anesthesia, and animal welfare across veterinary medicine.

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.

 

Mrs. Patricia Camacho Magriñán | Biomedical Engineering | Best Researcher Award

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Mrs. Patricia Camacho Magriñán | Biomedical Engineering | Best Researcher Award

Predoctoral Researcher, University of Cadiz, Spain

Patricia Camacho Magriñán is an Industrial Design and Product Development Engineer from the University of Cádiz, Spain, with a passion for research in artificial intelligence and respiratory health. She holds a Master’s degree in Manufacturing Engineering and is currently a pre-doctoral researcher working on AI-driven predictive models for chronic obstructive pulmonary disease (COPD) management. As a dedicated scientist, she collaborates with the Bioengineering, Automation, and Robotics group at the University of Cádiz and the Institute for Biomedical Research and Innovation of Cádiz (INIBICA), contributing to cutting-edge advancements in healthcare technology.

Publication Profile

ORCID

🎓 Education

Patricia earned her Bachelor’s degree in Industrial Design and Product Development from the University of Cádiz, followed by a Master’s in Manufacturing Engineering. She has pursued specialized training in AI, machine learning, scientific information management, and Python programming through institutions like Udemy, Google, and the Universidad Nacional de Educación a Distancia. Her continuous learning reflects her commitment to integrating AI into biomedical research.

💼 Experience

Currently, Patricia is a pre-doctoral researcher at the University of Cádiz, engaged in a project funded by the Spanish Ministry of Science and Innovation. Her research focuses on AI-driven multimodal data analysis for predicting COPD exacerbations. She is also an active member of the “Bioengineering, Automation, and Robotics” and “Graphical Methods, Optimization, and Learning” research groups, contributing to publications and collaborative projects.

🏆 Awards and Honors

Patricia has been involved in prestigious research initiatives, including a national project on AI and intelligent sensors for COPD management. Her research contributions have been recognized through competitive funding and scientific publications. She has also participated in a project enhancing engineering education through coordinated graphical expression strategies.

🔍 Research Focus

Her research interests lie at the intersection of artificial intelligence, respiratory health, and environmental monitoring. She specializes in analyzing multimodal data for predicting COPD exacerbations, aiming to improve early diagnosis and patient outcomes. Her work also extends to product design and sustainability, emphasizing the impact of technology on perceived obsolescence.

🔚 Conclusion

Patricia Camacho Magriñán is a dedicated researcher integrating AI and biomedical engineering to enhance respiratory healthcare. Her contributions to AI-driven COPD prediction and environmental monitoring are paving the way for innovative solutions in digital health. With a strong academic background, extensive training, and impactful publications, she continues to advance research at the intersection of technology and medicine. 🚀

📝 Publications

Indoor Environmental Monitoring and Chronic Respiratory Diseases: A Systematic Review.

Influence of Technology on Perceived Obsolescence through Product Design Properties. 

Multifractal Approach for Comparing Road Transport Network Geometry: The Case of Spain