Dr. Ayush Sahu is an academic and researcher in the field of Artificial Intelligence and Machine Learning, with a strong focus on data-driven modeling for safety-critical engineering applications. He holds a Ph.D. in AI and ML from IIT Dhanbad, where his research addressed the prediction and prevention of roof falls in underground coal mines using advanced machine learning, optimization techniques, and explainable artificial intelligence (XAI). His doctoral work proposed novel hybrid frameworks integrating fuzzy inference systems, genetic algorithms, artificial neural networks, and dimension-reduction methods, along with interpretability tools such as SHAP and Ceteris Paribus analysis to enhance model transparency and practical applicability.

Dr. Sahu completed his M.Tech. in CSE from IIT Dhanbad, during which he introduced chaos concepts into the Crow Search Algorithm to improve optimization efficiency and convergence performance. His academic background provides a strong foundation in statistical learning, feature engineering, neural network architectures, and optimization-based modeling.

Dr. Sahu’s research interests include applied machine learning, interpretable AI, optimization algorithms, and the development of robust predictive models for real-world engineering and industrial problems.

He has served as an Assistant Professor in the Department of Artificial Intelligence and Machine Learning at KIET Group of Institutions from June to August 2024. Since August 2024, he has been working as an Assistant Professor (Senior Grade) at Jaypee, where he is actively engaged in teaching, curriculum development, laboratory design, and mentoring students at undergraduate and postgraduate levels. His teaching interests include Machine Learning, Deep Learning, Data Mining, and Explainable AI.