Carlos Rodriguez Lucatero | Complex Networks | Best Researcher Award

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Carlos Rodriguez Lucatero | Complex Networks | Best Researcher Award

 Prof  Dr. Carlos Rodriguez Lucatero , Universidad Autónoma Metropolitana Unidad Cuajimalpa , Mexico.

Prof Dr.Carlos Rodriguez Lucatero is a distinguished Professor and Researcher at Universidad Autónoma Metropolitana Unidad Cuajimalpa. He holds a Ph.D. in Computer Science from the University of Paris VI, specializing in AI and Robotics. With extensive experience, he has served as a Full-time Research Professor at various prestigious institutions, including Instituto Tecnologico de Monterrey and Universidad Iberoamericana. His research focuses on algorithms, artificial intelligence, complex networks, and mobile robotics. Notable contributions include advancements in robot motion planning and multi-agent systems. He is a prolific author and a member of the National Research System (SNI). 🌐🤖📊

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Education And Professional Experience:

Prof Dr.Carlos Rodriguez Lucatero holds a PhD in Computer Science (1994) and a DEA in Computational Sciences AI and Robotics (1991) from the University of Paris VI. He graduated in Computer Engineering from UNAM in 1987. He has served as a Full-time Research Professor at Instituto Tecnologico de Monterrey and Universidad Iberoamericana. Currently, he is a Full-time Research Professor at UAM Cuajimalpa, where he specializes in Computer Theory, AI, and Robotics. His extensive experience spans undergraduate and postgraduate teaching, contributing significantly to AI, algorithms, and computational theory research. 📚🤖🌐

Professional Development:

Prof Dr.Carlos Rodriguez Lucatero is a seasoned academic with a Ph.D. in Computer Science from the University of Paris VI and a degree in Computer Engineering from UNAM. He has held full-time research professor roles at Instituto Tecnologico de Monterrey and Universidad Iberoamericana. Currently, he is a full-time research professor at UAM Cuajimalpa. His research spans algorithms, AI, robotics, and complex networks. Notable contributions include advancements in robot motion planning and multi-agent systems. He is a prolific author with numerous scientific articles and a member of the National Research System (SNI). 🌐🤖📊

Research Focus:

Prof Dr.Carlos Rodriguez Lucatero’s research focus spans several critical areas in computer science, including algorithms, combinatorial optimization, theory of computation, and artificial intelligence. His work also delves into complex networks, dynamic systems, and mobile robotics. Particularly, his contributions to robot motion planning and multi-agent systems are noteworthy. He explores computational complexity, mathematical logic, and theoretical computer science foundations. In recent years, he has studied opinion dissemination in social media and virus spread in complex networks, proposing strategies to mitigate the impact of network topologies on these processes. His multifaceted research advances theoretical and practical aspects of computer science. 🌐🤖📊

 

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GeronimoQuinonez-Barraza | Forest Sciences | Best Researcher Award-1103

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GeronimoQuinonez-Barraza | Forest Sciences | Best Researcher Award

Dr.GeronimoQuinonez-Barraza, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias (INIFAP), Mexico.

Dr. Gerónimo Quiñónez-Barraza 🇲🇽 is a distinguished Mexican scientist specializing in Forest Sciences, currently serving as a Research Scientist at INIFAP. With a Ph.D. in Forest Sciences from Colegio de Postgraduados and a post-doctorate from the University of Georgia, his expertise spans forest management, biometrics, and environmental services 🌳. Gerónimo is proficient in ArcGIS, Python, and MATLAB, among other tools. Recognized as a National Researcher Level-1 by CONACTY, he has received numerous academic awards 🎓. His work significantly impacts forest modeling and management, advancing the field through innovative research and practical applications. 🌲

 

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Education And Experience

Dr. Gerónimo Quiñónez-Barraza 🇲🇽 is a dedicated Mexican scientist specializing in Forest Sciences, currently serving as a Scientist Researcher at INIFAP 🌲. He holds a Ph.D. in Forest Sciences from Colegio de Postgraduados and a post-doctorate from the University of Georgia. His research areas include forest management, biometrics, and environmental services 🌳. Proficient in tools like ArcGIS, Python, and MATLAB, Gerónimo has received numerous accolades, including the National Researcher Level-1 recognition by CONACTY 🎓. He has significantly contributed to forest modeling and management, enhancing the field with innovative research and practical applications. For more information, visit his personal website 🌐.

 

Professional Development

Dr. Gerónimo Quiñónez-Barraza 🇲🇽, a dedicated Forest Engineer and Scientist Researcher at INIFAP 🌳, specializes in forest management, biometrics, and environmental services. With a robust academic background, including a Ph.D. from Colegio de Postgraduados and a post-doctorate from the University of Georgia 🎓, he excels in utilizing tools like ArcGIS, Python, and MATLAB. Recognized with numerous scientific distinctions such as National Researcher Level-1 by CONACTY 🏆, Gerónimo has significantly contributed to forest modeling and management. His extensive professional experience and active participation in conferences underscore his commitment to advancing forest sciences 🌲. For more, visit his personal website 🌐.

 

Research Focus

Dr. Gerónimo Quiñónez-Barraza’s 🌲 research focuses on various aspects of forest sciences, including Forest Management, Forest Biometrics, Silviculture, Forest Modeling, Forest Inventory, Forest Statistics, and Environmental Services. His work aims to enhance the understanding and sustainable management of forest ecosystems, addressing key challenges such as biodiversity conservation, ecosystem services provision, and climate change mitigation. Through his research, Gerónimo contributes to the development of innovative forest management strategies and tools that support the conservation and utilization of forest resources. His dedication to this field is evident in his extensive publications and active participation in conferences, where he shares his insights and advancements with the scientific community.

 

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MatthewSiebert | Chemistry | Best Researcher Award

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MatthewSiebert | Chemistry| Best Researcher Award

Dr.MatthewSiebert ,Missouri State University ,United States.

Dr.Matthew R. Siebert is an Associate Professor of Chemistry & Biochemistry at Missouri State University, specializing in theoretical organic chemistry and electronic structure calculations. His research focuses on renewable fuels, with notable projects exploring biodiesel conversion and gasoline production from soybeans. Matthew has published 28 peer-reviewed articles and holds an h-index of 13 on Scopus and 14 on Google Scholar. He is an active member of the American Chemical Society and has received recognition for his work in local media and scientific conferences. 🧪

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Education And Experience

Dr.Matthew R. Siebert, an Associate Professor of Chemistry & Biochemistry at Missouri State University, has a distinguished academic background, including a Ph.D. in Chemistry from the University of California, Davis. His research focuses on theoretical organic chemistry and electronic structure calculations, with significant contributions to renewable fuels research. Matthew has secured substantial funding for projects such as biodiesel and gasoline production from soybeans. He has published extensively and is a member of the American Chemical Society. His work has garnered attention in local media and scientific conferences, showcasing his impact in the field. 🧪

 

Professional Development

 

Dr.Matthew R. Siebert, an Associate Professor of Chemistry & Biochemistry at Missouri State University, has continually advanced his career through innovative research and dedicated teaching. His involvement in diverse projects, from investigating gasoline production from soybeans to promoting learning in chemistry through interactive videos, reflects his commitment to scientific exploration and education. Matthew’s contributions extend beyond academia, as his work has been recognized in local media and scientific conferences. His active engagement in professional societies, such as the American Chemical Society, demonstrates his ongoing pursuit of knowledge and excellence in his field. 🌱

Research Focus

 

Dr.Matthew R. Siebert’s research focuses on theoretical organic chemistry, density functional theory, and electronic structure calculations. His work includes projects on biodiesel conversion, gasoline production from soybeans, and non-covalent interactions in chemistry. He has a strong publication record with 28 peer-reviewed articles and has secured funding for various research projects. Siebert’s contributions have been recognized through local media coverage and high-impact presentations at scientific conferences. His dedication to advancing these fields is evident through his active involvement in research and education. 🔬

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SarahAltowairqi | Computer Science | Best Researcher Award

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SarahAltowairqi | Computer Science | Best Researcher Award

Mrs. SarahAltowairqi ,The University of Newcastle ,United States

Mrs.Sarah Altowairqi is a Research Scholar at The University of Newcastle, NSW, Australia, specializing in Computer Science with a focus on Computer Vision. With 11 years of experience, she holds a Master’s degree and is currently pursuing her Ph.D. Sarah has made significant contributions to the field, including publications in reputable journals and the development of AI approaches for crowd anomaly detection. Her teaching experience at Taif University, coupled with her active research in information security and biometrics, reflects her commitment to advancing knowledge in her field. Sarah is dedicated to utilizing deep learning for anomaly detection to enhance public safety and security

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Education And Experience

Mrs.Sarah Altowairqi holds a Master’s degree and is currently pursuing her PhD at The University of Newcastle, NSW, Australia. With 11 years of experience, she has published in reputable journals and developed AI approaches for crowd anomaly detection. Sarah also has teaching experience at Taif University, where she actively contributed to research on information security and biometrics. Her dedication to deep learning for anomaly detection reflects her commitment to enhancing public safety and security.

 

Professional Development

Mrs.Sarah Altowairqi, a Research Scholar at The University of Newcastle, NSW, Australia, has 11 years of experience in Computer Science with a specialization in Computer Vision. She holds a Master’s degree and is currently pursuing her Ph.D. Sarah has made significant contributions to the field, publishing in reputable journals and developing AI approaches for crowd anomaly detection. Her teaching experience at Taif University showcases her commitment to education. Sarah is actively engaged in research, particularly in information security and biometrics. Her work reflects a dedication to enhancing public safety and security through innovative research in deep learning.

Research Focus

Mrs.Sarah Altowairqi’s research focuses on efficient crowd anomaly detection using sparse feature tracking and neural networks. She has authored a publication on this topic in Applied Sciences in May 2024, indicating her expertise in this area.

 

Publication Top Notes

 Efficient Crowd Anomaly Detection Using Sparse Feature Tracking and Neural Network

  • Journal: Applied Sciences
  • Year: 2024
  • DOI: 10.3390/app14093928