Assistant Professor (Senior Scale)
Amar Shukla is renowned for his numerous research contributions to the fields of Computer Science and Artificial Intelligence. Some of his notable works include:
- "Alz-ConvNets for Classification of Alzheimer Disease Using Transfer Learning Approach" (with R Tiwari, S Tiwari, 2023) - Shukla and his co-authors discuss the utilization of convolutional neural networks and transfer learning for effective classification of Alzheimer's disease.
- "Alzheimer’s Disease Detection from Fused PET and MRI Modalities Using an Ensemble Classifier" (with R Tiwari, S Tiwari, 2023) - This research focuses on using an ensemble classifier for detecting Alzheimer's disease from fused PET and MRI modalities, improving the accuracy and efficiency of diagnosis.
- "Artificial Intelligence Approach for Signature Detection" (with R Tiwari, S Raghuvanshi, S Sharma, S Avinash, 2023) - This paper outlines an AI-based method for signature detection, which can enhance security systems and fraud detection processes.
- "Broad Analysis of Deep Learning Techniques for Diabetic Retinopathy Screening" (with S Tiwari, A Jain, A Alferaidi, 2023) - In this work, the authors conduct a comprehensive analysis of deep learning techniques used for diabetic retinopathy screening, a significant issue in healthcare.