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

 

Boris Ildusovich-Kharissov-Object Detection and Recognition-Outstanding Scientist Award

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Boris Ildusovich-Kharissov-Object Detection and Recognition-Outstanding Scientist Award 

Autonomous University of Nuevo LE-Mexico 

Author Profile

Early Academic Pursuits

Dr. Boris I. Kharisov embarked on his academic journey in Radiochemistry at Moscow State University. Graduating with an M.Sc. in 1986 and a Ph.D. in 1993, he delved deep into radiochemistry, setting the stage for his subsequent expertise in inorganic chemistry, coordination chemistry, and nanotechnology. His quest for knowledge led to a Habilitation (Dr. Sci.) from Rostov State University in 2006.

Professional Endeavors

From the Moscow Institute of Installation Technology to the Chemistry Department at the University of Nuevo León, Dr. Kharisov’s professional trajectory embodies a commitment to academia. His tenure as a researcher at Moscow State University honed his understanding of radiochemistry before transitioning to teaching and research in Mexico in 1994.

Contributions and Research Focus

With over 214 published and accepted articles, 16 books, and 25 book chapters, Dr. Kharisov has significantly contributed to inorganic chemistry, nanotechnology, and environmental chemistry. His expertise spans various prestigious journals and editorial boards, showcasing a multidisciplinary approach.

His research prowess extends to diverse projects, including nanotechnology in leather production, separation of oil and water mixtures, and fundamental studies on phthalocyanines. Dr. Kharisov's teaching portfolio reflects his dedication to education, mentoring 21 postgraduate and graduate students and offering a spectrum of courses in inorganic chemistry.

Accolades and Recognition

Dr. Kharisov’s achievements earned him recognition in Mexico, becoming a member of the Mexican Academy of Sciences and achieving National Researcher status. His involvement in international projects with Elsevier Science and Gordon & Breach Publishers further underscore his global influence in advancing inorganic chemistry and nanotechnology.

Impact and Influence

His favorite research areas—phthalocyanines, nanotechnology, and petroleum—highlight his commitment to transformative research. Dr. Kharisov's work spans conventional and cutting-edge domains, from elemental metals to carbon allotropes, leaving a profound impact on the field.

Legacy and Future Contributions

Dr. Boris I. Kharisov's legacy lies in his extensive research output, educational contributions, and global collaborations, shaping the landscape of inorganic chemistry and nanotechnology. His future contributions are poised to continue revolutionizing these fields, leaving an enduring mark on scientific progress.

Notable Publication

Mahamudul-Hasan-Deep Learning for Computer Vision-Best Researcher Award

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Mahamudul-Hasan-Deep Learning for Computer Vision-Best Researcher Award

East West University-Bangladesh

Author Profile

Early Academic Pursuits

Mahamudul Hasan embarked on his academic journey at Dhaka Collegiate School and Dhaka College for his secondary and higher secondary education, respectively. His interest in computer science became evident during his undergraduate studies at the University of Dhaka, where he earned a B.Sc. in Computer Science and Engineering. His academic excellence was apparent, reflected in a high GPA of 3.74/4.00 during this period. He further pursued his academic endeavors by obtaining an M.S. in Computer Science and Engineering from the University of Dhaka, showcasing consistent dedication and commitment to the field.

Professional Endeavors

Since 2017, Mahamudul Hasan has been a Senior Lecturer at the Department of Computer Science and Engineering at East West University. His role extends beyond teaching, as he also serves as a Moderator for the Computer Programming Club at the same institution. This dual role highlights his commitment not only to academia but also to fostering a practical learning environment for students.

Contributions and Research Focus

Hasan's research interests span diverse areas within the realm of computer science, particularly focusing on Information Retrieval and Recommender Systems, Deep Learning and Machine Learning, Computer Vision and Image Processing, and Applied Cryptography and Blockchain. His numerous publications and involvement in various conferences underscore his active engagement in advancing knowledge and technology in these domains.

Accolades and Recognition

Mahamudul Hasan's contributions to academia and research have been recognized through various avenues. Notably, he received the Best Paper Award at the 2nd International Conference on Cyber Intelligence and Information Retrieval (CIIR 2023) for his work on advancing cucumber disease detection in agriculture through machine vision and drone technology.

Impact and Influence

His impact is evident not only through his academic achievements but also through the practical applications of his research. Hasan's contributions in designing real-time crime monitoring systems using deep learning techniques, comprehensive image datasets for classifying affected individuals' skin conditions, and intelligent road accident reduction systems demonstrate the tangible impact of his work on societal issues.

Legacy and Future Contributions

Mahamudul Hasan's legacy lies in his multifaceted contributions to academia, research, and practical applications. His dedication to teaching, extensive research contributions, and active involvement in conferences and publications signify a legacy of advancing knowledge in computer science. As he continues his journey, his future contributions are anticipated to further enrich the field, potentially influencing advancements in information retrieval, machine learning, image processing, and other related domains.

Notable Publication