Pioneering mathematical modeling, complex simulation design, and computational solutions for tomorrow's challenges.
100+
Published Manuscripts
9
Team Members
60+
Global Partners
We are a multidisciplinary research group dedicated to developing innovative computational methods and mathematical models that address complex problems across science, engineering, and industry. ACML is a scientific research lab at the Information Systems Department at the University of Haifa (Israel) together with the Computing Department at Jonkoping University (Sweden).
Developing sophisticated mathematical frameworks to represent complex real-world phenomena.
Creating efficient simulations and computational methods to capture complex real-world dynamics and solve complex optimization problems.
Translating theoretical advances into practical applications across multiple domains and industries.
Discover our latest research breakthroughs and ongoing projects
Genetic Algorithms and Decision Trees outperform global models in wildfire prediction by adapting to local weather, terrain, and vegetation.
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Analyzes how computer science scholars form "Home Venues" using a biologically inspired decision-making model.
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A Genetic Algorithm-based ensemble model enhances ML performance under changing data patterns using AutoML pipelines.
Learn More →We are always on the search for opportunities to collaborate, share tools, or join projects that change the world.
We will help you to help us to collect the data that answers your research question with our methods.
We develop models that solve the problem. We do not have such models? we try to invent them....
We believe in applicative science - we develop solutions that are open source and adoptable.
We lead the writting of the methodological and results sections of technical reports and scientific manuscripts.
Our research in the spotlight
Let's get in touch! We answer super quickly - try us...
University of Haifa, Amir Complex, room 401
+972 545524589
lazebnik.teddy@gmail.com
Sunday - Thursday: 8:00 AM - 6:00 PM