Angus Kenny

Dr Angus Kenny is a Casual Academic at UNSW Canberra within the Engineering and Technology Teaching school. His research focuses on optimization algorithms, machine learning, and their applications in engineering and mining. He has contributed to advancements in multi-objective optimization, automated machine learning pipelines, and structural design problems.

Key research interests include developing hybrid algorithms for optimization tasks, improving hyperparameter search in machine learning frameworks (e.g., TPOT), and addressing complex problems in mining engineering such as constrained pit optimization and production scheduling. His work bridges theoretical algorithm development with practical engineering challenges.

Kenny has published extensively in conferences like GECCO and journals like Scientific Reports, focusing on evolutionary computation and optimization techniques. He has no listed scientific awards but maintains an active publication record in computational engineering and machine learning domains.

No advising or grant details are provided in the available text. His research activities are centered on algorithmic innovation and their real-world applications in engineering systems.