Koichi Shimizu | Optical Bioimaging Research | Best Researcher Award

Prof. Dr. Koichi Shimizu | Optical Bioimaging Research | Best Researcher Award

Prof. Dr. Koichi Shimizu | Xidian University | China

Koichi Shimizu is a distinguished Professor at Xidian University, renowned for his extensive contributions to electromagnetics, imaging technologies, and advanced signal processing. He received his M.S. and Ph.D. degrees from the University of Washington, Seattle, where he also served as a Research Associate. He later built a long and impactful academic career at Hokkaido University, Japan, progressing from Assistant Professor to full Professor and ultimately Professor Emeritus. He also serves as an Invited Research Professor at Waseda University, Japan. His research portfolio includes more than one hundred completed and ongoing projects, alongside over thirty consultancy and industry collaborations with notable organizations such as NASDA, Epson, and Huawei. With a prolific academic output comprising more than twenty books, over fifty granted patents with several more under review, and more than three hundred journal publications indexed in leading scientific databases, he is recognized as a leading figure in his field. He has served as Associate Editor of IEEE Transactions on Information Technology in Biomedicine and sits on the editorial boards of Scientific Reports and Advanced Imaging. A Fellow of the Electromagnetics Academy, Koichi Shimizu continues to advance impactful interdisciplinary research and global academic collaboration.

Profile: Orcid

Featured Publications

1. Wang, J., Ieiri, Y., Yoshie, O., & Shimizu, K. (2026). A learnable transformer decoder for blurred near-infrared blood vessel segmentation using domain adaptation with limited data.

2. Nakagawa, Y., Yamaguchi, T., Ishimaru, T., Saito, T., Hattori, Y., Ono, T., Arai, Y., Hasegawa, Y., Shiga, H., Tamaki, K., et al. (2025). Day-to-day variation in masseteric electromyographic waveforms during the diurnal awake state.

3. Ishimaru, T., Yamaguchi, T., Saito, T., Nakagawa, Y., Hattori, Y., Ono, T., Arai, Y., Hasegawa, Y., Shiga, H., Tamaki, K., et al. (2025). Verification of the relationship between awareness of clenching or the teeth contacting habit and the integral value of masseteric electromyogram during diurnal wakefulness.

4. To, N. P. V., Hoang, N. H., Nguyen, N. A. D., Tran, T. N., & Shimizu, K. (2025). A large open access dataset of transillumination imaging toward the realization of optical computed tomography.

5. Ishimaru, T., Yamaguchi, T., Saito, T., Hattori, Y., Ono, T., Arai, Y., Hasegawa, Y., Shiga, H., Tamaki, K., Tanaka, J., et al. (2024). Actual state of the diurnal masseteric electromyogram: Differences between awareness and non-awareness of awake bruxism.

Esra Demir Unal | Optical Bioimaging Research| Best Researcher Award

Assist. Prof. Dr. Esra Demir Unal | Optical Bioimaging Research| Best Researcher Award

Assist. Prof. Dr. Esra Demir Unal | Ankara Yıldırım Beyazıt University | Turkey

Dr. Esra Demir Ünal is a board-certified neurologist and academic clinician serving as an Assistant Professor in the Division of Neurology at Ankara Yıldırım Beyazıt University School of Medicine and as Chief of the Movement Disorders Clinic at Ankara City Hospital. Her clinical expertise encompasses movement disorders and neurodegenerative diseases, including Parkinson’s disease, Huntington’s disease, multiple sclerosis, and stroke, with particular specialization in advanced device-assisted and infusion therapies such as Deep Brain Stimulation management, Duodopa intestinal gel, apomorphine pump treatments, and botulinum toxin applications for dystonia and tremor. Alongside supervising neurology residents and coordinating complex outpatient services, she leads translational neuroscience research within the AYBU Department of Neuroscience Laboratory. Her research integrates quantitative electroencephalography, artificial intelligence–based signal analysis, neuroimaging, and molecular biomarkers to identify early diagnostic and prognostic indicators of neurodegeneration, visual pathway dysfunction, atherosclerotic contributions in Parkinson’s disease, and oxidative stress markers in stroke. Dr. Demir Ünal has authored more than 30 peer-reviewed scientific documents, accumulating over 600 scholarly citations, with a current h-index of 18, reflecting sustained impact across clinical and translational neuroscience. Her work has received international recognition from professional neurological societies, and her academic vision centers on redefining early neurological diagnosis through the convergence of biophysical biomarkers, computational modeling, and clinically scalable technologies.

Profile: Orcid

Featured Publications

Demir Ünal, E. (2026). A neuroimmunological axis between systemic autoimmunity and Parkinson’s disease following long-COVID: A case series. Journal of Neuroimmunology.

Demir Ünal, E. (2025). Phytomedicine interventions in mental health: Mechanisms and implications. In Phytomedicine interventions in mental health. Springer.

Demir Ünal, E. (2025). The role of metabo-inflammatory syndrome and ferropathological processes in atherosclerotic plaque formation in Parkinson’s disease: Insights from high-resolution carotid duplex analysis. Turk Kardiyoloji Dernegi Arsivi–Archives of the Turkish Society of Cardiology.

Demir Ünal, E. (2025). Comparative prospective analysis of pharmacological modalities in Alzheimer’s disease. Meandros Medical and Dental Journal.

Demir Ünal, E., Dagdelen, Y. E. (2025). Multidimensional characterization of Parkinson’s disease subtypes through motor neuron excitability and peripheral immune dynamics: Insights from F-wave modulation metrics. Diagnostics, 16(1), 27.

Demir Ünal, E., Çamcı, M., Akdeniz, G. (2025). Multidimensional phenotyping and predictive neuropsychological modeling of socio-cognitive endophenotypes in early Parkinson’s disease. Brain Sciences, 15(11), 1223.

Demir Ünal, E. (2025). Current neuroinnovative techniques with machine learning algorithms in the diagnosis and classification of neurodegenerative diseases. In Advances in neuroinformatics. IGI Global.