Yoshitada Morikawa | Quantum Simulations | Best Researcher Award

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Prof. Dr Yoshitada Morikawa | Quantum Simulations | Best Researcher Award

Professor, The University of Osaka, Japan.

Professor Yoshitada Morikawa is a leading Japanese physicist and materials scientist specializing in quantum simulations. Born in Osaka in 1966, he currently serves as a Professor in the Department of Precision Engineering at Osaka University. With a rich academic journey spanning Kyoto University and the University of Tokyo, he has significantly contributed to computational physics, surface science, and AI-driven materials design. Professor Morikawa is known for combining quantum mechanics with machine learning to explore and optimize surface/interface phenomena, catalysis, and semiconductor behavior. His scholarly work includes over 218 peer-reviewed publications and a remarkable h-index of 49. His impact is further demonstrated through leadership roles in the Japan Society of Vacuum and Surface Science and the Physical Society of Japan. Widely respected for his visionary research and scientific leadership, Professor Morikawa is a strong advocate for a carbon-neutral society through fundamental science.

  📌Author’s Profile

🎓 Education 

Yoshitada Morikawa received his B.Sc. in Physics and Chemistry in 1989 and M.Sc. in Chemistry in 1991, both from Kyoto University. He then earned his Ph.D. in Physics in 1994 from the Institute for Solid State Physics, University of Tokyo. His education laid a robust foundation in theoretical and computational science, equipping him with the necessary tools to explore the intersections of quantum mechanics, chemistry, and material interfaces. During his doctoral studies, he held a prestigious Japan Society for the Promotion of Science (JSPS) Fellowship (DC), followed by a postdoctoral fellowship (PD) at Kyoto University. These early roles catalyzed his deep involvement in atomic-scale material analysis and first-principles simulations. Professor Morikawa’s academic path exemplifies a seamless integration of multi-disciplinary domains and a commitment to scientific rigor, establishing him as a globally recognized figure in quantum materials research and theory-driven computational modeling.

🧪 Experience 

Professor Morikawa’s career spans over three decades of distinguished service in academic and national research institutions. After his Ph.D., he joined the Joint Research Center for Atom Technology (JRCAT) and later served at the National Institute of Advanced Industrial Science and Technology (AIST). He held visiting positions at JAIST and the Technical University of Denmark. Since 2004, he has been with Osaka University, first as an Associate Professor at ISIR and then, from 2009, as a full Professor in the Graduate School of Engineering. He has supervised major projects involving surface physics, electrochemistry, and materials simulations. His leadership roles include serving as Vice President of the Japan Society of Vacuum and Surface Science and Representative of the Physical Society of Japan’s Division 9. Professor Morikawa’s vast experience in academic, industrial, and international contexts makes him a valuable leader and a mentor in materials science innovation.

🔬 Research Focus

Professor Morikawa’s research explores quantum mechanical simulations of surfaces and interfaces, targeting real-world problems in energy, catalysis, and semiconductor technology. His lab develops first-principles electronic structure methods integrated with molecular dynamics, Monte Carlo, and machine learning algorithms (including deep learning and Gaussian processes). The primary goal is to bridge the microscopic quantum world with macroscopic material properties. Applications range from designing efficient CO₂ conversion catalysts to improving fuel cell performance. His recent focus on AI-enhanced materials design supports the global drive toward a carbon-neutral society. By decoding physical origins of material behavior, he provides theoretical guidelines for improving functionality, efficiency, and sustainability. His comprehensive approach offers insights into both fundamental and applied materials science.

📚Publication Top Notes

1. Experimental and Theoretical Investigations on pH-Dependent Molecular Structure, Electronic Structure, and Absorption Spectra of Ruthenium(II) Complexes with Extended Ligand

Journal of Molecular Structure, November 2025
Contributors: Zi Ying Yeoh, Yoshitada Morikawa, Siow-Ping Tan, Mohammad B. Kassim, Siew San Tan
Summary: This work combines experimental spectroscopy and first-principles simulations to analyze how pH variation influences the molecular geometry and electronic structure of ruthenium(II) complexes. The study demonstrates that protonation states significantly affect the absorption spectra, providing insights into their electronic transitions and potential in sensing and catalytic applications.

2. VibIR-Parallel-Compute: Enhancing Vibration and Infrared Analysis in High-Performance Computing Environments

Journal of Open Source Software, April 15, 2025
Contributors: Kurt Irvin M. Rojas, Yoshitada Morikawa, Ikutaro Hamada
Summary: This publication presents a new open-source computational tool designed to improve the efficiency of vibrational and infrared spectral analysis in large-scale simulations. The tool utilizes parallel computing to accelerate data processing, enabling high-throughput simulations of complex molecular systems in quantum chemistry and materials research.

3. Stabilization of Oxygen Vacancy Ordering and Electrochemical-Proton-Insertion-and-Extraction-Induced Large Resistance Modulation in Strontium Iron Cobalt Oxides Sr(Fe,Co)Oₓ

Nature Communications, January 2, 2025
Contributors: Yosuke Isoda, Thanh Ngoc Pham, Ryotaro Aso, Shuri Nakamizo, Takuya Majima, Saburo Hosokawa, Kiyofumi Nitta, Yoshitada Morikawa, Yuichi Shimakawa, Daisuke Kan
Summary: This collaborative study investigates resistance changes in Sr(Fe,Co)Oₓ caused by reversible proton insertion and oxygen vacancy ordering. Using both experimental data and theoretical modeling, it uncovers mechanisms relevant to next-generation memory and switching devices based on complex oxides.

4. CO Hydrogenation Promoted by Oxygen Atoms Adsorbed onto Cu(100)

Journal of Physical Chemistry C, 2024
Contributors: K. Nagita, K. Kamiya, S. Nakanishi, Y. Hamamoto, Y. Morikawa
Summary: This research explores how the presence of adsorbed oxygen atoms on a copper (100) surface alters the catalytic pathway for carbon monoxide hydrogenation. The study combines surface science experiments and density functional theory to propose a more efficient CO-to-methanol conversion mechanism, relevant for sustainable fuel production.

5. Effect of Fluorine Substitution on the Electronic States and Conductance of CuPc on Cu(100)

Applied Surface Science, 2024
Contributors: H. Okuyama, S. Kuwayama, S. Hatta, T. Aruga, Y. Hamamoto, T. Shimada, I. Hamada, Y. Morikawa
Summary: This paper investigates the electronic behavior of copper phthalocyanine (CuPc) molecules modified with fluorine atoms when adsorbed on a Cu(100) surface. The study reveals how fluorine substitution modifies the molecule–metal interaction, enhancing electronic tunability for organic semiconductor and device engineering applications.

🏆 Conclusion 

Professor Yoshitada Morikawa is highly suitable for the Best Researcher Award, especially for awards that prioritize:

  • Long-term scholarly excellence,

  • Interdisciplinary research, and

  • Cutting-edge integration of AI with quantum materials science.

His career is marked by rigorous academic scholarship, leadership in the scientific community, and a forward-looking research agenda tackling environmental and energy-related grand challenges.

Ali Akbar Arjmandnia | Cognitive Rehabilitation | Best Researcher Award

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Prof. Ali Akbar Arjmandnia | Cognitive Rehabilitation | Best Researcher Award

Psychologist, University of Tehran, Iran.

Professor Ali A. Arjmandnia is a distinguished psychologist and full professor at the University of Tehran’s Faculty of Psychology and Educational Sciences. With a career spanning over two decades, he has made impactful contributions in the field of psychology, particularly focusing on the cognitive development and rehabilitation of children with learning disabilities, ADHD, and intellectual disabilities. His academic journey began with a B.S. and M.S. in Psychology and Education of Exceptional Children, followed by a Ph.D. from Allameh Tabataba’i University. Professor Arjmandnia has held key academic and administrative positions, including Vice Dean and Head of Department, and currently leads Avaye Iman Counseling Center. He is a prolific researcher with over 20 peer-reviewed publications, many of which explore evidence-based interventions and executive function training. His work bridges theory and practice, benefiting both the scientific community and children with special needs in clinical settings.

🔹 Education

Professor Arjmandnia pursued all his higher education in Tehran, Iran, specializing in the field of psychology and education of exceptional children. He obtained his Ph.D. in Psychology from Allameh Tabataba’i University in 2007, where he conducted research on child development and cognitive interventions. He earned his M.S. in 2000 from the University of Tehran, majoring in Psychology and Education of Exceptional Children. His undergraduate studies were also in the same field at Allameh Tabataba’i University, completed in 1997. Throughout his academic progression, he developed a strong foundation in psychological assessments, special education strategies, and intervention design. His educational background has equipped him with the expertise to lead clinical programs and publish influential research. These credentials laid the groundwork for his contributions to both academic scholarship and community-based therapeutic practices for children with cognitive and learning disorders.

🔹 Experience 

Professor Arjmandnia has accumulated a wealth of academic, clinical, and administrative experience. He began as an assistant professor in 2010 at the University of Tehran and rose to full professor by 2023. He has served as Head of Department and held vice dean positions, overseeing academic affairs and student culture. His administrative expertise includes acting as Vice Dean for Administrative and Financial Affairs. Clinically, he has worked as a child psychologist at Ostad Roozbeh Counseling Center and currently heads the Avaye Iman Counseling Center. Earlier in his career, he taught and managed a special school (Ehya School) for children with special needs. His professional experiences span over 25 years, with deep involvement in educational systems, child psychology, and executive function development. His leadership in psychological services and educational research makes him a key contributor to advancing inclusive and rehabilitative education in Iran.

🔹 Research Focus

Professor Arjmandnia’s primary research focus is on cognitive rehabilitation and the psychological development of children with learning and behavioral disorders. His work spans various domains, including working memory, visual-spatial processing, executive function training, and emotional regulation. He investigates the effectiveness of computerized and play-based cognitive training interventions, particularly for children with ADHD, dyslexia, and mathematical learning disorders. He also studies teacher awareness and parental involvement in managing disabilities. Through controlled experiments, case studies, and comparative analysis, he evaluates innovative approaches such as neurofeedback, hydrotherapy, and emotion regulation training. His research is applied in both educational and clinical settings, bridging gaps between theory and therapeutic practice. Arjmandnia’s goal is to design and implement evidence-based programs that enhance cognitive and social skills in exceptional children, improving their educational outcomes and quality of life.

🔹Publications Top Notes

1. The study on relationship between organizational justice and job satisfaction in teachers working in general, special and gifted education systems

Authors: M.I. Nojani, A.A. Arjmandnia, G.A. Afrooz, M. Rajabi
Journal: Procedia – Social and Behavioral Sciences, 46, 2900–2905 (2012)
Summary:
This study explores how perceptions of fairness within educational institutions affect teachers’ job satisfaction across general, special, and gifted education. It emphasizes that equitable policies and transparent processes significantly improve morale and professional commitment.

2. The Effectiveness of Positive Parenting Program (Triple-P) Training on Interaction of Mother-Child with Intellectual Disability

Authors: M. Pourmohamadreza-Tajrishi, M. Ashouri, G.A. Afrooz, A.A. Arjmandnia, et al.
Journal: Rehabilitation, 16(2), N2 (2015)
Summary:
Evaluates the impact of Triple-P training on mother–child relationships in families with children who have intellectual disabilities. Results show enhanced interaction quality and reduced behavioral issues in children.

3. The study of awareness and capability of primary school teachers in identifying students with learning disability in the province of Kermanshah

Authors: K. Kakabaraee, A.A. Arjmandnia, G.A. Afrooz
Journal: Procedia – Social and Behavioral Sciences, 46, 2615–2619 (2012)
Summary:
Investigating teachers in Kermanshah, Iran, the study finds that most educators lack adequate skills to recognize learning disabilities, suggesting urgent need for targeted professional development programs.

4. Impact of Cognitive Inhibition Training on Visuo-Spatial Working Memory and Planning Performance of Student with Reading and Mathematics Disorders

Authors: M. Rafikhah, A.A. Arjmandnia, B. Ghobari Bonab
Journal: Journal of Psychology of Exceptional Individuals, 29
Summary:
This research shows that cognitive inhibition training significantly enhances visuospatial memory and planning skills in students with combined learning disorders, supporting its use in educational interventions.

5. The Effectiveness of Computerized Cognitive Training on the Performance of Visual-Spatial Working Memory of Students with Mathematical Problems

Authors: A.A. Arjmandnia, A. Sharifi, R. Rostami
Journal: Journal of Learning Disabilities, 3(4), 6–24 (2014)
Summary:
The study demonstrates that computerized cognitive exercises improve the working memory of students facing difficulties in math, supporting the integration of tech-based tools in special education.

6. Comparative Study of Visual Perception and Selective Attention Skills of Primary School Students with and without Reading Disability

Authors: M. Hasani Rad, A.A. Arjmandnia, F. Bagheri
Journal: Empowering Exceptional Children, 7(4), 24–33 (2016)
Summary:
Students with reading disabilities showed significantly lower visual perception and attention skills. Findings suggest incorporating sensory and attentional training in reading interventions.

7. The Effectiveness of Computer-Based Executive Function Training on Cognitive Characteristics and Math Achievement of Children with ADHD

Authors: A. Ahmadi, A.A. Arjmandnia, M.P. Azizi, S. Motiee
Journal: Journal of Pediatric Nursing, 4(1), 43–50 (2017)
Summary:
This study found that executive function training significantly improved both cognitive flexibility and math achievement in children with ADHD, indicating long-term academic benefits.

8. The Effects of Response Inhibition and Working Memory Training Programs on Improving Social Skills in Children with ADHD

Authors: B. Ghobari–Bonab, A. Beh-Pajooh, G.A. Afrooz, E. Hakimi Rad, A.A. Arjmandnia
Journal: Journal of Psychological Studies, 9(4), 9–30 (2013)
Summary:
Social skills in children with ADHD can be improved through targeted cognitive training, particularly in response inhibition and working memory, supporting holistic approaches to behavioral therapy.

9. Transcatheter Atrial Septal Defect Closure under Transthoracic Echocardiography in Children

Authors: K.S. Zanjani, A. Zeinaloo, E. Malekan-Rad, A. Kiani, M.M. Bagheri
Journal: Iranian Journal of Pediatrics, 21(4), 473 (2011)
Summary:
This medical study evaluates a non-invasive cardiac procedure in children, offering insights into echocardiography-guided interventions. Arjmandnia’s contribution reflects interdisciplinary collaboration.

10. The Effectiveness of Computerized Cognitive Training on the Working Memory Performance of Children with Dyslexia

Authors: M. Shokoohi-Yekta, S. Lotfi, R. Rostami, A.A. Arjmandnia, et al.
Journal: Audiology, 23(3) (2014)
Summary:
Computer-based memory interventions significantly enhance cog

🧾 Conclusion

Professor Ali A. Arjmandnia presents a strong and well-rounded profile for a Best Researcher Award, particularly within the domains of child psychology, special education, and applied cognitive interventions. His consistent research productivity, leadership roles, and community impact demonstrate excellence in scholarship and service.