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Shake Ibna Abir
PeerJ Reviewer
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Shake Ibna Abir

PeerJ Reviewer

Summary

Artificial Intelligence Computer Vision Data Science Mathematical Biology Neural Networks

Work details

Instructor of Mathematics

Florida Gulf Coast University
August 2025
Department of Mathematics
I am an AI researcher and developer with over 6 years of experience advancing deep learning and machine learning solutions that bridge mathematics, computer science, and biomedical innovation. My research focuses on designing and deploying intelligent systems using CNNs, RNNs, LSTMs, GANs, and LLMs for applications such as classification, segmentation, detection, and natural language processing across image, time-series, and text data. Proficient in Python, TensorFlow, PyTorch, and Keras, I have fine-tuned large-scale models including GPT, BERT, and T5 for domain-specific tasks like knowledge extraction, document summarization, and conversational AI. My recent work explores Generative AI for text-to-image synthesis, data augmentation, and automation, particularly within healthcare and biomedical contexts, to enhance diagnostic precision and clinical decision-making. In addition to my technical expertise, I maintain a strong commitment to AI ethics, data governance, and regulatory compliance under HIPAA and GDPR frameworks. My work is guided by the belief that responsible AI can advance equitable, transparent, and human-centered innovation. Previously, I served in the Department of Mathematics and Statistics at Arkansas State University, where I contributed to research and instruction in computational mathematics, data science, and artificial intelligence. I also actively serve on editorial boards and as a peer reviewer for several international journals, promoting rigorous scholarship and ethical research in AI and data science.

Websites

  • LinkedIn

PeerJ Contributions

  • Reviewed 1

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

October 27, 2025
Deep feature fusion for melanoma detection using ResNet-VGG networks with attention mechanism
Muhammad Ahtsam Naeem, Shangming Yang, Mamta Mittal, Jyotindra Narayan, Muhammad Asim Saleem, Mohammad Shabaz
https://doi.org/10.7717/peerj-cs.3248