KU graduate research assistant publishes breakthrough studies across AI, healthcare, and sustainability
Fairuz Shadmani Shishir, an Institute for Information Sciences (I2S) Graduate Research Assistant pursuing a doctoral degree in Computer Science, has achieved a significant academic milestone with multiple research publications spanning artificial intelligence, healthcare innovation, and sustainability analytics.
Shishir is a contributing author on three recent peer-reviewed studies published in leading scientific journals, highlighting the growing interdisciplinary impact of his work.
One of his forthcoming publications in Frontiers in Bioinformatics introduces NbBayesLM, a novel artificial intelligence model designed to predict the thermostability of nanobodies—small, highly versatile proteins used in drug development. By combining biological insight with advanced machine learning techniques, the model not only improves prediction accuracy but also quantifies confidence levels, enabling researchers to design more effective nanobody-based therapeutics with greater efficiency.
In a separate study published in Nature Scientific Reports, Shishir collaborated on a machine learning and natural language processing pipeline (NLP) that analyzes environmental, social, and governance (ESG) disclosures in Bangladesh’s textile and apparel sector. The research identifies critical themes such as environmental sustainability and worker safety, offering valuable insights for policymakers and industry leaders aiming to improve sustainable production practices.
A third publication, also appearing in Nature Scientific Reports, explores the intersection of artificial intelligence and healthcare privacy. The study presents a deep learning framework for analyzing electrocardiogram (ECG) data while preserving patient confidentiality. Using adversarial training, the model removes sensitive personal attributes—such as age, race, and sex—while maintaining diagnostic accuracy, marking a promising advancement in privacy-preserving medical AI.
Across these publications, Shishir’s work demonstrates a consistent focus on leveraging AI to solve complex, real-world problems—ranging from drug discovery to ethical data use and sustainable industry practices.
His achievements underscore the expanding role of interdisciplinary research at the University of Kansas and positions him as an emerging contributor in the fields of artificial intelligence and data-driven innovation.