Ushba Rasool | Generative AI | Best Researcher Award

Published on by Technology Scientists

Dr. Ushba Rasool | Generative AI | Best Researcher Award

Research Instructor | Zhengzhou University | China

Dr. Ushba Rasool, affiliated with Zhengzhou University, China, is a rising researcher specializing in educational psychology, digital pedagogy, and artificial intelligence (AI) in education. With 11 publications, 68 citations, and an h-index of 5, her work integrates theoretical frameworks such as UTAUT (Unified Theory of Acceptance and Use of Technology) and TPACK (Technological Pedagogical Content Knowledge) to investigate teachers’ and students’ perceptions, attitudes, and adoption behaviors toward emerging educational technologies. Her recent publication in Acta Psychologica (2025), “Perceptions of Generative AI in Teaching and Learning,” highlights her innovative approach in merging psychological insights with technology acceptance models to explore the transformative potential of generative AI in learning environments. Through collaborations with 18 co-authors across international institutions, Dr. Rasool contributes to advancing global understanding of digital transformation in education, addressing key issues of AI ethics, digital literacy, and pedagogical innovation. Her research provides valuable implications for educational policy, technology integration strategies, and the enhancement of learner engagement, thus creating meaningful social and academic impact in the digital age.

Profiles: Scopus | Google Scholar

Featured Publications

1. Rasool, U., Qian, J., & Aslam, M. Z. (2023). An investigation of foreign language writing anxiety and its reasons among pre-service EFL teachers in Pakistan. Frontiers in Psychology, 13, 947867. 
Cited by: 64

2. Barzani, S. H. H. (2022). The effects of online supervisory feedback on student-supervisor communications during the COVID-19. European Journal of Educational Research, 11(3), 1569–1579. 
Cited by: 31

3. Barzani, S. H. H. (2021). Teachers and students’ perceptions towards online ESL classrooms during COVID-19: An empirical study in North Cyprus. The Journal of Asia TEFL, 18(4), 1423–1431. 
Cited by: 21

4. Rasool, U., Mahmood, R., Aslam, M. Z., Barzani, S. H. H., & Qian, J. (2023). Perceptions and preferences of senior high school students about written corrective feedback in Pakistan. SAGE Open, 13(3), 21582440231187612. 
Cited by: 17

5. Rasool, U., Aslam, M. Z., Mahmood, R., Barzani, S. H. H., & Qian, J. (2023). Pre-service EFL teachers’ perceptions of foreign language writing anxiety and some associated factors. Heliyon, 9(2), e13705. 
Cited by: 15

Dr. Ushba Rasool’s research fosters responsible and inclusive integration of generative AI in education, driving innovation in digital pedagogy and shaping global educational practices that empower both teachers and learners for a technologically adaptive future.

Daniel Glossman-Mitnik | Computational Biology | Best Academic Researcher Award

Published on by Technology Scientists

Dr. Daniel Glossman-Mitnik | Computational Biology | Best Academic Researcher Award

Emeritus Researcher|Center for Research in Advanced Materials | Mexico

Dr. Daniel Glossman-Mitnik is a prominent researcher at the Centro de Investigación en Materiales Avanzados (CIMAV), Chihuahua, Mexico, recognized internationally for his extensive contributions to computational and theoretical chemistry. His work primarily employs Density Functional Theory (DFT) and Conceptual DFT (CDFT) to investigate the structural, electronic, and reactive properties of molecules and materials relevant to nanotechnology, materials science, and bioactive compounds. With a prolific record of 62 peer-reviewed publications, his research has accumulated over 817 citations, achieving an h-index of 19, which reflects the sustained impact and academic quality of his scientific output. Dr. Glossman-Mitnik’s recent studies encompass a wide spectrum of applications, including the design of triphenylamine-based sensitizers and Cu(I) complexes for dye-sensitized solar cells (DSSCs), as well as computational evaluations of marine natural products and therapeutic peptides for drug discovery. His scholarly endeavors are characterized by interdisciplinary collaboration, having co-authored with more than 120 researchers worldwide, fostering innovation through theoretical–experimental integration. Beyond his methodological expertise, his research has meaningful social and technological implications, contributing to advancements in renewable energy materials, environmentally sustainable chemical design, and computational approaches to pharmacology. By combining rigorous quantum-chemical modeling with practical applications, Dr. Glossman-Mitnik’s work exemplifies how theoretical insights can drive real-world scientific progress. His career reflects a profound commitment to advancing the global understanding of molecular behavior and material performance, positioning him as a leading figure in contemporary computational chemistry.

Profiles: Scopus | Google Scholar

Featured Publications

1. Rodríguez-Valdez, L. M., Villamisar, W., Casales, M., González-Rodríguez, J. G., & others. (2006). Computational simulations of the molecular structure and corrosion properties of amidoethyl, aminoethyl and hydroxyethyl imidazolines inhibitors. Corrosion Science, 48(12), 4053–4064.
Cited by: 248

2. Rodríguez-Valdez, L. M., Martínez-Villafañe, A., & Glossman-Mitnik, D. (2005). Computational simulation of the molecular structure and properties of heterocyclic organic compounds with possible corrosion inhibition properties. Journal of Molecular Structure: THEOCHEM, 713(1), 65–70.
Cited by: 233

3. Glossman-Mitnik, D. (2013). Computational study of the chemical reactivity properties of the Rhodamine B molecule. Procedia Computer Science, 18, 816–825.
Cited by: 131

4. Mendoza-Wilson, A. M., & Glossman-Mitnik, D. (2006). Theoretical study of the molecular properties and chemical reactivity of (+)-catechin and (−)-epicatechin related to their antioxidant ability. Journal of Molecular Structure: THEOCHEM, 761(1), 97–106.
Cited by: 130

5. Gallo, M., Favila, A., & Glossman-Mitnik, D. (2007). DFT studies of functionalized carbon nanotubes and fullerenes as nanovectors for drug delivery of antitubercular compounds. Chemical Physics Letters, 447(1), 105–109.
Cited by: 128

Dr. Daniel Glossman-Mitnik’s work advances global innovation by integrating computational chemistry with materials science and biomedicine, enabling the rational design of sustainable materials and therapeutic compounds. His research bridges theory and application, contributing to cleaner energy technologies, drug discovery, and the broader understanding of molecular behavior for societal and industrial benefit.