Second Xiangya Hospital | Central south university | China
Dr. Hounye Alphonse Houssou is a dedicated mathematician and researcher currently affiliated with the General Surgery Department at the Second Xiangya Hospital, Central South University, China. With a focus on bioinformatics, image processing, and statistical machine learning, Dr. Houssou is recognized for his significant contributions to scientific research, particularly in cancer prognosis and machine learning models.
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Strengths for the Awards
Dr. Alphonse Hounye Houssou demonstrates exceptional strengths in the field of scientific research, particularly in bioinformatics, image processing, and machine learning. His contributions include:
- Extensive Research Output: With 32 research papers and 21 SCI-indexed publications, including eight as the first author, Dr. Houssou has proven his ability to publish high-quality and impactful research.
- Innovative Contributions: His work on high-dimensional omics data analysis has led to groundbreaking findings, such as identifying hub immune-related genes (TRIM67, CORT, PSPN, SCAMP5, RFXAP) in pancreatic cancer prognosis.
- Recognition and Awards: He has earned multiple prestigious awards, including the ITCIE Award, Best Researcher Award (International Research Awards), and the Outstanding International Student Award (2022–2023).
- Leadership and Collaboration: Dr. Houssou has collaborated with over 10 institutions, participated in COVID-19-related research projects, and contributed to academic seminars, showcasing his leadership and teamwork abilities.
Education 🎓
Dr. Hounye Alphonse Houssou obtained a B.S. in Mathematics from Abomey-Calavi University, Benin, and earned an M.S. in Mathematical Statistics from JiangXi University of Finance and Economics, China, in 2015 and 2020, respectively. Currently, he is pursuing a Ph.D. at the School of Mathematics and Statistics, Central South University, China.
Experience 🏢
With extensive academic and professional experience, Dr. Houssou has been part of numerous innovative research projects. He has also contributed to COVID-19-related academic seminars and exhibited leadership across multidisciplinary teams. Additionally, he actively collaborates with over 10 research institutions globally, contributing to groundbreaking scientific advancements.
Research Interests On medicine🔬
Dr. Houssou’s research interests include:
- Bioinformatics
- Image Processing
- Statistical and Deep Machine Learning
His work focuses on analyzing high-dimensional omics data, developing individualized risk assessments, and uncovering disease biomarkers for improved diagnostics and treatments, particularly in oncology.
Awards 🏆
Dr. Houssou has received several prestigious accolades:
- ITCIE Award for research excellence
- Best Researcher Award (International Research Award on Advanced Nanomaterials and Nanotechnology)
- Outstanding International Student Award (2022–2023)
These awards reflect his contributions to advanced scientific research and innovation.
Publications 📚
- Title: Characterization of PANoptosis-related genes in Crohn’s disease by integrated bioinformatics, machine learning, and experiments
Authors: Yang, Y., Hounye, A.H., Chen, Y., Shi, G., Xiao, Y.
Year: 2024
Citations: 2
- Title: A graph-optimized deep learning framework for recognition of Barrett’s esophagus and reflux esophagitis
Authors: Hou, M., Wang, J., Liu, T., Wang, K., Chen, S.
Year: 2024
Citations: 0
- Title: Explainable machine learning model identified potential biomarkers in liver cancer survival prediction
Authors: Pan, Q., Houssou Hounye, A., Miao, K., Hou, M., Xiong, L.
Year: 2024
Citations: 0
- Title: Automated heart disease prediction using improved explainable learning-based technique
Authors: Bizimana, P.C., Zhang, Z., Hounye, A.H., Hammad, M., El-Latif, A.A.A.
Year: 2024
Citations: 3
- Title: Explainable cancer factors discovery: Shapley additive explanation for machine learning models demonstrates the best practices in the case of pancreatic cancer
Authors: Su, L., Hounye, A.H., Pan, Q., Hou, M., Xiong, L.
Year: 2024
Citations: 1
- Title: Exploring explainable machine learning and Shapley additive explanations (SHAP) technique to uncover key factors of HNSC cancer: An analysis of the best practices
Authors: Miao, K., Houssou Hounye, A., Su, L., Hou, M., Xiong, L.
Year: 2024
Citations: 5
- Title: Integrated explainable machine learning and multi-omics analysis for survival prediction in cancer with immunotherapy response
Authors: Hounye, A.H., Xiong, L., Hou, M.
Year: 2024
Citations: 0
- Title: SCARNet: using convolution neural network to predict time series with time-varying variance
Authors: Zhao, S., Kong, M., Li, R., Hou, M., Cao, C.
Year: 2024
Citations: 1
- Title: Modeling SARS coronavirus-2 omicron variant dynamic via novel fractional derivatives with immunization and memory trace effects
Authors: Liu, T., Yin, X., Liu, Q., Houssou Hounye, A.
Year: 2024
Citations: 1
- Title: Evaluation of drug sensitivity, immunological characteristics, and prognosis in melanoma patients using an endoplasmic reticulum stress-associated signature based on bioinformatics and pan-cancer analysis
Authors: Hounye, A.H., Hu, B., Wang, Z., Hou, M., Qi, M.
Year: 2023
Citations: 0
Conclusion ✅
Dr. Hounye Alphonse Houssou is a dynamic researcher dedicated to advancing machine learning applications in bioinformatics and medical diagnostics. His impactful contributions to cancer prognosis, along with numerous publications and awards, underscore his role as a leading scientist in the field.
