Dr. Ahana Priyanka
B.Tech., M.Tech., Ph.D
Assistant Professor
Department Of Computer Science and Engineering
Dr. Ahana Priyanka completed her postdoctoral fellowship at the Mind Research Network, Albuquerque, New Mexico, where she conducted advanced research on mild traumatic brain injury (mTBI). Prior to this, Dr. Priyanka served as a Postdoctoral Associate at the Yale School of Medicine, where she contributed to multi-omic data analysis aimed at identifying resilience biomarkers for Alzheimer’s disease. She also explored the epigenetic underpinnings of depression and anxiety, working extensively with DNA methylation profiling, epigenetic clock computations, and the integration of omics data.
She earned her Ph.D. in Information Technology from the Madras Institute of Technology, Anna University, where her research focused on developing machine learning frameworks for dementia severity prediction using radiomic features and metaheuristic optimization techniques. She also holds an M.Tech in Information Technology from the same institution and completed her B.Tech in Information Technology in 2014.
- BioMedical Image Processing
- Metaheuristic Algorithms
- Deep Learning
- Priyanka, A., & Kavitha, G. “Study of Biomarker Variation and Severity Prediction in Dementia Using Intelligent System.” International Journal of Biomedical Engineering and Technology Science 44(1),1-25, 2024. Impact Factor: 1.2
- Priyanka, A., Ganesan, K. Severity estimation of brainstem in dementia MR images using moth flame optimized segmentation and fused deep feature selection. Neural Comput & Applic 35, 9093–9104, 2023. Impact Factor: 4.5
- Priyanka, A., & Kavitha, G. “Radiomic Features-Based Severity Prediction in Dementia MR Images Using Hybrid SSA-PSO Optimizer and Multi-Class SVM Classifier.” IRBM 43 (6), 549-560, 2022. Impact Factor: 5.6
- Priyanka, A., & Kavitha, G. “Study of Onset in Brain Dementia Using Hierarchical Wolf Colony Optimization and Dual Deep Learning Technique.” Imaging Science Journal 70(3), 155-167, 2022. Impact Factor: 1.4
- Priyanka, A., & Kavitha, G. “Hippocampus Segmentation and Classification for Dementia Analysis Using Pre-Trained Neural Network Models.” Biomedical Engineering / Biomedizinische Technik 66(6), 581-592, 2021. Impact Factor: 1.3
- Alagu, S., Priyanka, A., Kavitha, G., & Bagan, K.B. “Automatic Detection of Acute Lymphoblastic Leukemia Using UNET-Based Segmentation and Statistical Analysis of Fused Deep Features.” Applied Artificial Intelligence 35(15), 1952-1969, 2021. Impact Factor: 2.8