Pearl Asieduwaa Osei | Machine Learning and AI Applications | Research Excellence Award

Ms. Pearl Asieduwaa Osei | Machine Learning and AI Applications | Research Excellence Award

University of Mines and Technology | Ghana

Pearl Asieduwaa Osei is a Ph.D. candidate in Mathematical Sciences at the University of Mines and Technology (UMaT), Tarkwa, Ghana. She holds a BSc in Pure Mathematics from the University for Development Studies, an MSc from the African Institute of Mathematical Sciences (AIMS-Ghana), and an MPhil in Applied Mathematics from Kwame Nkrumah University of Science and Technology. Her research focuses on data mining and the application of artificial intelligence in mineral processing. She has contributed to predictive modeling in gold cyanide leaching, developing optimized machine learning frameworks that enhance process efficiency, accuracy, and resource utilization in Ghana’s mining sector.

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Nasser Ahmed | Machine Learning Applications | Worldwide Excellence in Research Analytics Advancement Award

National Research Institute of Astronomy and Geophysics | Egypt

Assist. Prof. Dr. Nasser Ahmed | Machine Learning Applications | Worldwide Excellence in Research Analytics Advancement Award

National Research Institute of Astronomy and Geophysics | Egypt

Assoc. Prof. Dr. Nasser Mohamed Ahmed is an accomplished astrophysicist at the National Research Institute of Astronomy and Geophysics (NRIAG), Egypt, with extensive expertise in computational astrophysics and X-ray astronomy. He earned his Ph.D. from the University of Groningen, focusing on simulations of cooling flows in galaxy clusters using advanced hydrodynamic modeling. His research spans plasma dynamics, galaxy formation, and data analysis using modern tools such as Python, FLASH, and X-ray observatories. Dr. Ahmed has contributed to numerous international projects, established computational facilities, and published widely in reputable journals, demonstrating significant impact in both theoretical and observational astronomy.

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Featured Publications

Sun Vertical Depressions and Their Effects on the Morning Twilight Phases in Egypt
– Springer Proceedings in Physics, 2025

Amir Reza Rahimi | artificial intelligence | Best Researcher Award

Mr. Amir Reza Rahimi, artificial intelligence, Best Researcher Award

Mr. Amir Reza Rahimi at Universidad de Valencia, Spain

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Summary

Amir Reza Rahimi is a Ph.D. candidate at the University of Valencia, specializing in Language, Literature, and Cultures and their applications. He has extensive teaching experience in English at universities, high schools, and language institutes in Iran. Rahimi has also conducted workshops on using technology in English language teaching. His research, focusing on psycholinguistics, computer-assisted language learning (CALL), and educational technology, has been published in leading journals and presented at international conferences.

Education

Amir Reza Rahimi holds a Master’s degree in English Language Teaching from Shahid Rajaee Teacher Training University in Tehran, Iran, where his thesis focused on the impact of Massive Open Online Courses (MOOCs) on the structural relationship between online regulation and online motivational self-systems among Iranian EFL learners. He earned his Bachelor’s degree in English Language Teaching from the University of Mohaghegh Ardabili in Ardabil, Iran. Currently, he is pursuing a Ph.D. in Language, Literature, and Cultures and its Applications at the University of Valencia, Spain, with research interests spanning computer-assisted language learning (CALL), educational technology, and psycholinguistics.

Professional Experience

Amir Reza Rahimi has amassed significant experience in English language education, having taught at various universities, high schools, and language institutes throughout Iran. His career includes conducting workshops aimed at integrating technology into English language teaching methodologies. Rahimi’s expertise extends to research in psycholinguistics, computer-assisted language learning (CALL), and educational psychology, contributing extensively to scholarly publications and presenting his work at prestigious international conferences. Currently a Ph.D. candidate at the University of Valencia, Spain, Rahimi continues to explore innovative approaches in language education and teacher development.

Research Interests

Amir Reza Rahimi’s research interests encompass several facets of language education and technology integration. His work primarily focuses on computer-assisted language learning (CALL), exploring the impact of Massive Open Online Courses (MOOCs) on language learners’ motivational self-systems and educational outcomes. Rahimi is also deeply engaged in psycholinguistics, investigating the cognitive processes involved in language acquisition and proficiency development. His research extends to educational technology, where he explores innovative methods and tools to enhance language teaching and learning experiences. Rahimi’s scholarly pursuits aim to contribute to theoretical advancements in the fields of language education and educational psychology, addressing contemporary challenges and opportunities in digital learning environments.

Conferences and Workshops

  • WorldCALL conference, Chiang Mai, Thailand
  • 21st Asia TEFL International Conference
  • TELLSI19 Conference, University of Birjand, Iran
  • AELTE 2022, Ankara, Turkey

Academic Membership

  • 2017-Present: Teaching English Language and Literature Society of Iran (TELLSI)

Technical Skills

  • SPSS, LISREL, AMOS, PLS-SEM, MAXQDA
  • Computer literacy (2018-2020)

Amir Reza Rahimi’s extensive background in teaching, research, and professional development showcases his expertise and contributions to the field of English Language Teaching and Educational Technology.

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