Prof. Orken Mamyrbayev | Computing Awards | Outstanding Scientist Award

Prof. Orken Mamyrbayev | Computing Awards | Outstanding Scientist Award

Prof. Orken Mamyrbayev, Institute of Information and Computational Technologies, Kazakhstan

Orken Zhumazhanovich Mamyrbayev  in the Almaty region, is an Associate Professor and Ph.D. in Information Systems. He graduated from Abay Kazakh National Pedagogical University in 2001 with a degree in Computer Science. With over 18 years of experience in scientific and pedagogical work, he currently serves as Deputy Director for Science at the Institute of Information and Computational Technologies under the Ministry of Education and Science of Kazakhstan. He is a specialist in speech recognition, digital signal processing, and natural language processing, and has supervised numerous Ph.D. and master’s theses. Mamyrbayev has authored over 100 scientific papers, holds 2 patents, and has completed advanced training in several countries, including Japan, Azerbaijan, and Malaysia. He is an active member of various scientific councils and an academician of the International Academy of Informatization.

Professional Profile:

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Suitability of Mamyrbayev Orken Zhumazhanovich for the Research for Outstanding Scientist Award

Summary of Suitability:

Mamyrbayev Orken Zhumazhanovich is a highly suitable candidate for the Research for Outstanding Scientist Award due to his extensive contributions to computer science, his leadership in research projects with real-world applications, and his international recognition. His innovative work in speech recognition, natural language processing, and digital signal processing showcases his potential as a leader in scientific advancements. Additionally, his contributions to education and the mentorship of upcoming researchers further strengthen his candidacy for this prestigious award.

🎓Education:

Orken Zhumazhanovich Mamyrbayev graduated from Abay Kazakh National Pedagogical University in 2001 with a degree in Computer Science and Computerization Management. In 2014, he earned his Ph.D. in Information Systems, successfully defending his dissertation on the topic “Kazakh Speech Recognition Modal System.”

🏢Work Experience:

From 2002 to 2011, Orken Zhumazhanovich Mamyrbayev worked as a Senior Lecturer at the Department of Computer Science and Applied Mathematics at Abay Kazakh National Pedagogical University. From 2012 to 2015, he served as a Researcher at the Laboratory of “Analysis and Modeling of Information Processes.” Since 2015, he has held the position of Deputy Director for Science at the Institute of Information and Computational Technologies under the Ministry of Education and Science of Kazakhstan. Additionally, since 2017, he has been leading the Laboratory of Computer Engineering of Intelligent Systems at the same institute.

🏅Awards:

Orken Zhumazhanovich Mamyrbayev has been recognized for his contributions to science and education, receiving the prestigious Certificate of Honor from the Ministry of Education and Science of Kazakhstan. In addition, he has been awarded letters of gratitude from the Institute of Information and Computational Technologies, CS MES RK, for his valuable work and dedication.

Publication Top Notes:

  • A Study of Kazakh Speech Recognition in Hiformer Model
  • An Innovative Technology for Overloading Microshoots in Vitro
  • Enhancing Emoji-Based Sentiment Classification in Urdu Tweets: Fusion Strategies with Multilingual BERT and Emoji Embeddings
  • High Accuracy Microcalcifications Detection of Breast Cancer Using Wiener LTI Tophat Model
  • Infrared Laser Irradiation for Pre-Sowing Seed Treatment: Advancing Germination and Crop Productivity

 

 

 

Mr. Mauricio Hidalg | Computing Awards | Best Researcher Award

Mr. Mauricio Hidalg | Computing Awards | Best Researcher Award

Mr. Mauricio Hidalg , Universidad Finis Terrae , Chile

Mauricio Hidalgo Barrientos is a dedicated academic and researcher currently pursuing a Ph.D. in Computer Science at Universidad TĂ©cnica Federico Santa MarĂ­a, focusing on role assignment for software engineering students using Kolb’s Learning Styles Inventory. He holds a Master’s degree in Higher Education Management from Universidad Santo Tomás and a Bachelor’s degree in Civil Engineering in Informatics and Telecommunications from Universidad Diego Portales. Mauricio’s professional experience includes roles as a professor at Universidad Diego Portales and Universidad de Santiago de Chile, and he has served as Director of the Informatics Engineering program at Universidad San Sebastián. He has collaborated on international research projects, published numerous scientific articles, and presented at various conferences. His research interests include software engineering, deep learning, and digital transformation in higher education. Mauricio has been recognized with several awards and scholarships, reflecting his commitment to excellence in both teaching and research.

Professional Profile:

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🎓Education:

Mauricio Hidalgo Barrientos is currently pursuing a Ph.D. in Computer Science at Universidad TĂ©cnica Federico Santa MarĂ­a, where his research focuses on role assignment for software engineering students using Kolb’s Learning Styles Inventory. He holds a Master’s Degree in Higher Education Management from Universidad Santo Tomás and a Bachelor’s Degree in Civil Engineering in Informatics and Telecommunications from Universidad Diego Portales. His academic journey spans a comprehensive exploration of educational management and engineering disciplines, reflecting his commitment to advancing both theoretical understanding and practical application in these fields.

🏢Work Experience:

Mauricio Hidalgo Barrientos has held various academic and professional roles, currently serving as AcadĂ©mico jornada at the Escuela de Informática y Telecomunicaciones at Universidad Diego Portales. He also works as Docente Adjunto – CategorĂ­a I at the Departamento de IngenierĂ­a Informática at Universidad de Santiago de Chile and as Docente Adjunto in the Facultad de IngenierĂ­a at Universidad Finis Terrae and Universidad AndrĂ©s Bello. Previously, Mauricio has served as Director de Carrera for IngenierĂ­a civil Informática at the Sede Santiago of Universidad San Sebastián, AcadĂ©mico jornada at the Facultad de IngenierĂ­a at Universidad Finis Terrae, and as a lecturer in higher education institutions including Universidad Diego Portales, Universidad Finis Terrae, Universidad San Sebastián, and Instituto Profesional Santo Tomás, Sede Santiago. His professional experience also includes roles as Director de Carreras de Informática at Instituto Profesional Santo Tomás, Sede Santiago, and as an Ingeniero de Desarrollo and Jefe de Proyectos at JPMorgan Chase Bank N.A. Additionally, Mauricio has worked as a researcher at the National Optical Astronomy Observatory (NOAO/AURA), showcasing his extensive expertise and versatile contributions in academia, industry, and research environments.

🏆Awards and Scholarships:

Mauricio Hidalgo Barrientos has been recognized with several prestigious awards and scholarships throughout his career. In 2023, he was a beneficiary of the PIIC-USM Program for Scientific Initiation at Universidad Técnica Federico Santa María. In 2020, he received the ANID Scholarship for his National Doctoral studies. In 2017, Mauricio was honored with the Excellence in Teaching Award from the VRP-UDP at Universidad Diego Portales, highlighting his dedication to educational excellence. Additionally, in 2001, he was awarded the 18 de septiembre Prize by the Ministry of National Defense, underscoring his contributions and achievements in various fields.

Publication Top Notes:

  • Challenges to Use Role Playing in Software Engineering Education: A Rapid Review
    • Type: Book chapter
    • Year: 2024
  • Challenges to Applying Role Playing in Software Engineering Education: A Taxonomy Derived from a Rapid Literature Review
    • Journal: SN Computer Science
    • Year: 2024
  • How Software Architects Learn: A pilot study of their learning style in Kolb’s Learning Styles Inventory
    • Conference: 2023 42nd IEEE International Conference of the Chilean Computer Science Society (SCCC)
    • Year: 2023
  • Batch Generation of a Satellite Big Data Database and Comparison of LSTM Network Performance on Local Workstations
    • Conference: 2022 41st International Conference of the Chilean Computer Science Society (SCCC)
    • Year: 2022
  • Deep learning aplicado para la detecciĂłn de hemorragias y tumores cerebrales
    • Journal: AtoZ: novas práticas em informação e conhecimento
    • Year: 2021