Kevin Nowka

Kevin Nowka is Professor of Practice in Electrical and Computer Engineering at Texas A&M University's College of Engineering. His research bridges semiconductor design and agricultural informatics, developing machine learning tools for precision farming and wildfire prediction.

Education and industry background include extensive experience in high-frequency processor design and VLSI systems. Previous roles include IBM Research leadership in memory systems and low-power architectures.

Research applies deep learning to environmental challenges, notably through UAS-based crop monitoring frameworks and neural network optimization for embedded agricultural systems. Recent work focuses on cotton yield forecasting using Bayesian networks and LSTM models.

Publications show convergence of semiconductor expertise and agri-informatics, with innovations in model compression for edge computing in field applications. Key themes include phenotyping automation and privacy-preserving data analytics.

Teaches courses on computer architecture and embedded systems. Supervises student projects on AI applications in sustainable agriculture.