Carlos-Avilés Cruz-Machine Learning-Best Researcher Award

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Dr. Carlos-Avilés Cruz-Machine Learning-Best Researcher Award

Autonomous Metropolitan University-Mexico 

Author Profile

Early Academic Pursuits

Dr. Carlos Avilés-Cruz embarked on his academic journey with a strong foundation in electronics engineering, earning his degree from the Autonomous Metropolitan University. His passion for advancing knowledge in the field led him to pursue further specialization through a Master's degree in in-depth studies, specializing in image and voice signals, at the Polytechnic Institute of Grenoble, France. This period of study provided him with invaluable insights into advanced concepts and technologies, laying the groundwork for his future research endeavors. Subsequently, he pursued a Ph.D. in speech and image signals at the Polytechnic Institute of Grenoble, where he focused on higher-order texture recognition, characterization, and performance. These formative years of study equipped him with the expertise and skills necessary to make significant contributions to the field of electronics and computational engineering.

Professional Endeavors

Dr. Carlos Avilés-Cruz  professional journey has been characterized by a dual commitment to research and education. Currently serving as a Researcher and Professor at the Autonomous Metropolitan University in Azcapotzalco, CDMX, México, he plays a vital role in shaping the future of engineering and computer science. His teaching philosophy emphasizes hands-on learning, encouraging students to apply engineering principles in practical design and programming projects. Moreover, his dedication to interdisciplinary collaboration is evident in his involvement in various research projects, including the ELENA project, which focused on enhanced learning for evolutive neural architectures. Through his lectures, mentorship, and research endeavors, Dr. Avilés-Cruz continues to inspire and empower the next generation of engineers and scientists.

Contributions and Research Focus On Machine Learning

Dr. Carlos Avilés-Cruz research interests encompass a wide range of topics within electronics and computational engineering, with a particular focus on image and voice recognition. His contributions to the field have been documented in numerous publications, spanning journals and conference proceedings. Noteworthy among these is his work on machine learning-based evaluation of ductile fracture, which has significant implications for the field of engineering mechanics. Additionally, his research on speech recognition in digital videos without audio using convolutional neural networks showcases his innovative approach to solving complex problems in multimedia analysis and processing. Through his diverse research portfolio, Dr. Avilés-Cruz continues to push the boundaries of knowledge and drive advancements in his field.

Accolades and Recognition

Dr. Carlos Avilés-Cruz contributions to the field have earned him recognition from peers and colleagues alike. His publications in reputable journals and his involvement in prestigious research projects have garnered acclaim within the academic community. As a member of esteemed professional societies such as the Association of Mechanical and Electrical Engineers and the Mexican Association of Computer Science, he is recognized for his expertise and leadership in the field of electronics and computational engineering.

Impact and Influence

The impact of Dr. Carlos Avilés-Cruz work extends beyond academia, influencing both industry practices and societal advancements. His research in image and voice recognition has the potential to revolutionize various fields, from healthcare to multimedia analysis. Moreover, his dedication to interdisciplinary collaboration has led to the development of innovative solutions to complex engineering challenges. By fostering a culture of innovation and collaboration, Dr. Avilés-Cruz continues to shape the future of electronics and computational engineering, leaving a lasting legacy of excellence and impact.

Carlos Avilés Cruz, a trailblazer in the field of Machine Learning, has been awarded the prestigious Machine Learning Award. His pioneering work has revolutionized the way we approach artificial intelligence, setting new standards for excellence and innovation.

Legacy and Future Contributions

As Dr. Carlos Avilés-Cruz looks to the future, his legacy is characterized by a commitment to advancing knowledge and serving the community. Through his teaching, research, and collaborative efforts, he has established himself as a leading figure in the field of electronics and computational engineering. His ongoing contributions to research and education ensure that his impact will endure for generations to come, inspiring future innovators and driving advancements in the field. Dr. Avilés-Cruz's legacy is one of excellence, innovation, and dedication to the advancement of science and technology.

Citations

  • Citations     831
  • h-index         15
  • i10-index       24

Notable Publication

 

Enio-Vasconcelos Filho-Machine Learning for Computer Vision-Editorial Board Member

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Enio-Vasconcelos Filho-Machine Learning for Computer Vision-Editorial Board Member

CISTER - Research Centre in Real-Time Computing & Embedded Computing Systems-Portugal

Author Profile

Early Academic Pursuits

Enio Prates Vasconcelos Filho began his academic journey at the University of Brasilia (UNB), earning a Bachelor's degree in Mechatronic Engineering in December 2006. During his undergraduate studies, he focused on the simulation of robot soccer games using reconfigurable architectures based on FPGA-PCI boards, which culminated in his thesis. He continued his academic pursuits at UNB, obtaining a Master's degree in Mechatronic Systems in January 2013. His master's thesis involved the development of a trajectory planner and open-loop control system for a spherical robotic manipulator, embedded in an FPGA platform.

Professional Endeavors

Following his academic achievements, Enio gained valuable industry experience. He worked as a Senior Engineer at Innovix Services and Commerce S.A. in Brazil from August 2008 to June 2015. During this period, he participated in energy efficiency, security, and telemetry projects, demonstrating proficiency in C, C++, and C# programming. Additionally, he managed teams for developing software and hardware for web access control systems and telemetry based on IoT devices.

Contributions and Research Focus

Enio pursued a Ph.D. in Electrical and Computer Engineering at the Faculty of Engineering of Porto (FEUP) from September 2018 to May 2023. His research focused on the development of an Evaluation Framework for Safe Cooperative Vehicle Platooning, utilizing ROS (Robot Operating System). This comprehensive research included the integration of software, hardware in the loop, and robotic testbeds. Enio's contributions encompassed two book chapters, four journal papers, eight congress papers, two extended abstracts, and two posters. Notably, he received the ICARSC 2020 Highly Commended Paper Award and the DCE 2019 Best Poster Presentation Award.

Accolades and Recognition

Enio's dedication to research and innovation has been acknowledged with several honors and awards. In 2019, he received the Best Poster Presentation at the 3rd Doctoral Symposium in Engineering from the Faculty of Engineering of Porto University. In 2020, his paper was recognized with the Highly Commended Paper award at the IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC).

Impact and Influence

As a Senior Engineering Science Researcher at CISTER Research Centre in Real-Time & Embedded Computing Systems (October 2018 to September 2022), Enio played a key role in studying real-time systems for vehicular control in cooperative cyber-physical systems. He led a team in the Horizon 2020 project ADACORSA, contributing to specifications and use case designs. His work also involved the development of a ROS simulator for evaluating control and communication models.

Legacy and Future Contributions

Enio Prates Vasconcelos Filho currently works as a Software Engineer at Critical Techworks in Porto, Portugal, focusing on automation and safety-driven systems. With a rich background in academia, industry, and research, Enio continues to make significant contributions to the fields of robotics, automation, and safety. His extensive experience, coupled with his passion for teaching as an Invited Assistant Professor at Instituto Superior de Engenharia do Porto, reflects a commitment to shaping the next generation of engineers. As he progresses in his career, Enio is poised to leave a lasting legacy in the realms of safety engineering and automation.

Notable Publication

Ali-Jahedsaravani-Object Detection and Recognition-Editorial Board Member

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Ali-Jahedsaravani-Object Detection and Recognition-Editorial Board Member

Khatam al Anbiya University-Iran

Author Profile

Early Academic Pursuits

Dr. Ali Jahedsaravani embarked on his academic journey with a strong foundation in Electronic Engineering, earning his Bachelor's degree from Islamic Azad University, Iran, Birjand, in 2007. He further pursued his academic interests, attaining a Master's degree in Automation and Control Engineering from Islamic Azad University, Gonabad branch, Iran, in 2011. His commitment to excellence in education continued as he earned a Ph.D. in Automation and Control Engineering from the University Putra Malaysia, Malaysia, in 2015, achieving a remarkable GPA of 3.75 on a scale of 4.

Professional Endeavors

Following his educational pursuits, Dr. Jahedsaravani dedicated himself to academic and research roles. He has been serving as an Assistant Professor in the Faculty of Engineering at Khatam al-Anbiya University since 2018. Prior to this, he held the position of Lecturer at the same institution from 2016 to 2018.

Contributions and Research Focus

Dr. Ali Jahedsaravani has made significant contributions to the fields of Machine Learning, Digital Image Processing, Deep Learning, and Intelligent Control Systems. His research work spans various aspects of these domains, showcasing a diverse set of skills and expertise.

Accolades and Recognition

Throughout his academic and research career, Dr. Jahedsaravani has received recognition for his outstanding contributions. Notably, he has been awarded a research grant titled "Machine Vision-Based Control of Flotation Process" by the Iran National Science Foundation in 2018-2019.

Impact and Influence

Dr. Jahedsaravani's research has left a lasting impact on the field, particularly in the application of machine vision to monitor and control batch flotation processes. His work on image analysis, neural networks, and fuzzy-based modeling has advanced the understanding of metallurgical processes.

Legacy and Future Contributions

As a distinguished academician and researcher, Dr. Ali Jahedsaravani's legacy lies in his commitment to advancing knowledge in Automation and Control Engineering. His future contributions are anticipated to further shape the landscape of machine learning applications in industrial processes, leaving a lasting imprint on the scientific community.

This comprehensive overview highlights Dr. Jahedsaravani's academic journey, research focus, and the significant impact he has made in the field of Automation and Control Engineering.

Notable Publication