Ehsan Abbasnejad

A/Prof. Ehsan Abbasnejad is a leading researcher in machine learning, specialising in foundational AI for vision and language tasks. He is currently with the Department of Data Science and Artificial Intelligence and serves as an Affiliate Associate Professor at the Australian Institute for Machine Learning (AIML) at the University of Adelaide, where he was previously a Future Making Fellow. He also held the role of Principal Researcher at the Centre for Augmented Reasoning (CAR). In 2024, he was recognised as a finalist for Researcher of the Year at the Australian AI Awards. His research has been instrumental in advancing AI, leading several major projects, including those funded by the Australian Research Council. With extensive industry collaborations across agriculture, energy, healthcare, and sports, his work has driven impactful, real-world AI solutions. A/Prof. Abbasnejad has played a key role in globally recognised teams, winning multiple competitions in computer vision, mining, and manufacturing. His industry experience includes research roles with Microsoft Research, Xerox Research, and NEC Labs America, where he contributed to cutting-edge AI advancements. Please visit https://ehsanabb.github.io for more details.

Bayesian Learned Models Can Detect Adversarial Malware for Free, 2024 BLURD: Benchmarking and Learning using a Unified Rendering and Diffusion Model, 2024 BRUSLEATTACK: A QUERY-EFFICIENT SCORE-BASED BLACK-BOX SPARSE ADVERSARIAL ATTACK, 2024 Knowledge Composition using Task Vectors with Learned Anisotropic Scaling, 2024 Modelling individual variation in human walking gait across populations and walking conditions via gait recognition, 2024