Gwangsu Kim | Mathematics | Best Researcher Award

Assistant Professor, Jeonbuk National University, South Korea.

Gwangsu Kim, an accomplished academic, currently serves as an Assistant Professor in the Department of Statistics at Jeonbuk National University. With a robust foundation in statistical methodologies and artificial intelligence, he is dedicated to advancing research in these fields. His leadership roles and participation in key projects highlight his commitment to academic innovation and knowledge creation.

Profile

Scopus

Education📝

Gwangsu Kim earned his Ph.D. in Statistics from Seoul National University in 2012, where he focused on Bayesian nonparametrics. His thesis, titled “Posterior Contraction Rate of the Proportional Hazards Model Having a Nonparametric Link and Its Applications,” laid the groundwork for his future research endeavors. He also holds a Bachelor of Science in Statistics from the same university, further solidifying his expertise in the field.

Experience👨‍🏫

Kim’s professional journey includes significant roles as a Research Associate Professor at KAIST and a Research Assistant Professor at Seoul National University. He has been involved in various projects, including the Human Plus Project and AI research initiatives funded by the National Research Foundation of Korea. His extensive teaching experience includes part-time lecturer positions at several prominent universities.

Research Interest🔬

Prof. Kim’s research interests lie in Bayesian statistics, artificial intelligence, and machine learning. He is particularly focused on developing innovative methodologies for model selection, hyperparameter optimization, and causal inference. His ongoing projects explore the intersection of data science and climate change, reflecting a commitment to addressing pressing global challenges through statistical analysis.

Awards and Honors🏆

Gwangsu Kim has received several prestigious awards, including the Distinguished Leadership Award and the Academic Innovation Award from the Korean Artificial Intelligence Association. These accolades recognize his contributions to the field of AI and his impactful leadership within the academic community. His involvement in organizing conferences and workshops further exemplifies his commitment to fostering collaboration and innovation in research.

Skills🛠️

Prof. Kim possesses strong analytical and problem-solving skills, enhanced by his expertise in statistical software and programming languages. He is proficient in various statistical modeling techniques and has a solid understanding of machine learning algorithms. His effective communication skills enable him to convey complex concepts clearly, making him an effective educator and researcher. Additionally, his leadership experience in professional organizations showcases his ability to engage and inspire others in the academic community.

Conclusion 🔍

Gwangsu Kim, Prof., is a highly qualified candidate for the Research for Best Researcher Award. His academic achievements, research contributions, and leadership in the field of statistics and artificial intelligence reflect a commitment to advancing knowledge and innovation. With a focus on enhancing publication metrics and broadening collaborative efforts, he can further solidify his standing as a leading researcher in his field.

Publication Top Notes

Title: Deep Neural Network-Based Accelerated Failure Time Models Using Rank Loss
Authors: Kim, G., Park, J., Kang, S.
Year: 2024
Citation: Statistics in Medicine, Article in Press.

Title: Bayesian Analysis of the Generalized Additive Proportional Hazards Model: Asymptotic Studies
Authors: Kim, G., Yoo, C.D., Kim, Y.
Year: 2024
Citation: Bayesian Analysis, 2024, 19(4), pp. 1225–1243.

Title: Hypothesis Perturbation for Active Learning
Authors: Cho, S.J., Kim, G., Yoo, C.D.
Year: 2024
Citation: IEEE Journal on Selected Topics in Signal Processing, Article in Press, Open access.

Title: QUERYING EASILY FLIP-FLOPPED SAMPLES FOR DEEP ACTIVE LEARNING
Authors: Cho, S.J., Kim, G., Lee, J., Shin, J., Yoo, C.D.
Year: 2024
Citation: 12th International Conference on Learning Representations, ICLR 2024.

Title: Atomically mixed catalysts on a 3D thin-shell TiO2 for dual-modal chemical detection and neutralization
Authors: Shin, J., Lee, G., Choi, M., Cho, D., Jang, J.-S.
Year: 2023
Citation: Journal of Materials Chemistry A, 2023, 11(34), pp. 18195–18206.

Title: Breathable MOFs Layer on Atomically Grown 2D SnS2 for Stable and Selective Surface Activation
Authors: Kim, G.S., Lim, Y., Shin, J., Kang, C.-Y., Jang, J.-S.
Year: 2023
Citation: Advanced Science, 2023, 10(17), 2301002, Open access.

Title: ESD: EXPECTED SQUARED DIFFERENCE AS A TUNING-FREE TRAINABLE CALIBRATION MEASURE
Authors: Yoon, H.S., Tee, J.T.J., Yoon, E., Li, Y., Yoo, C.D.
Year: 2023
Citation: 11th International Conference on Learning Representations, ICLR 2023.

Title: Deep learning-based noise robust flexible piezoelectric acoustic sensors for speech processing
Authors: Jung, Y.H., Pham, T.X., Issa, D., Yoo, C.D., Lee, K.J.
Year: 2022
Citation: Nano Energy, 2022, 101, 107610.

Title: Fair Facial Attribute Classification via Causal Graph-Based Attribute Translation
Authors: Kang, S., Kim, G., Yoo, C.D.
Year: 2022
Citation: Sensors, 2022, 22(14), 5271, Open access.

Title: Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold
Authors: Lee, J., Kim, G., Olfat, M., Hasegawa-Johnson, M., Yoo, C.D.
Year: 2022
Citation: Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022, 36, pp. 7363–7371.

Dr. Sami Ul Haq | Mathematics | Best Researcher Award

Dr. Sami Ul Haq, COMSATS University Islamabad, Pakistan

Dr. Sami Ul Haq is an accomplished mathematician with a strong foundation in fluid mechanics and mathematical modeling. He is committed to advancing knowledge in the field through teaching and research. Recognized as a gold medalist during his undergraduate studies, he combines his academic prowess with practical teaching experience to inspire the next generation of mathematicians. Dr. Sami is actively engaged in conferences and seminars, contributing to the discourse on recent developments in fluid mechanics and related fields.

Profile

Orcid Profile

Education

Dr. Sami Ul Haq holds a Master of Science in Mathematics from COMSATS University, Islamabad, completed in August 2021. He also obtained a Bachelor of Education (B.Ed) from Allama Iqbal Open University in August 2021. Prior to this, he earned his Bachelor of Science in Mathematics from the International Islamic University, Islamabad, in July 2019, where he was recognized as a gold medalist. His academic journey began with an Intermediate degree from F.G. Quaid-e-Azam Degree College in Rawalpindi, followed by Matriculation from F.G. Quaid-e-Azam Model School.

Professional Experience

Since August 2022, Dr. Sami has been working as a government school teacher in Murree, Pakistan. He previously served as an invigilator in Rawalpindi from May to July 2022. His teaching roles have allowed him to apply his extensive mathematical knowledge and contribute to the academic development of his students.

Research Interest

Dr. Sami’s research interests encompass various domains within fluid mechanics, including boundary layer flows, mathematical modeling of physical systems, micro and nano fluids, porous media, and computational fluid dynamics (CFD). He is also keen on exploring artificial neural networks (ANN) to enhance the analysis and modeling of fluid dynamics.

Conclusion

Based on his educational background, work experience, research interests, digital skills, conference participation, and honors, Dr. Sami Ul Haq is a highly suitable candidate for the Best Researcher Award. His commitment to advancing knowledge in mathematics and fluid mechanics, combined with his active involvement in the academic community, positions him as a promising researcher worthy of recognition.

Publication Top Notes

Effects of Cattaneo-Christov Heat Flux on MHD Jeffery Nano Fluid Flow Past a Stretching Cylinder
Author: Sami Ul Haq
Year: 2023
Journal: Journal of Magnetism and Magnetic Materials
DOI: 10.1016/j.jmmm.2022.170154
ISSN: 0304-8853

Convective Flow of Carreau Fluid Over a Curved Surface in Presence of Thermophoresis and Brownian Motion
Author: Sami Ul Haq
Year: 2022
Journal: Waves in Random and Complex Media
DOI: 10.1080/17455030.2022.2053239
ISSN: 1745-5030, 1745-5049

The Convective Flow of Carreau Fluid Over a Curved Stretching Surface with Homogeneous-Heterogeneous Reactions and Viscous Dissipation
Author: Sami Ul Haq
Year: 2022
Journal: Waves in Random and Complex Media
DOI: 10.1080/17455030.2022.2032867
ISSN: 1745-5030, 1745-5049