Abstract computational network background for Applied Computational Mathematics Laboratory

Applied
Computational Mathematics
Laboratory

Pioneering mathematical modeling, complex simulation design, and computational solutions for tomorrow's challenges.

120+

Published Manuscripts

19

Team Members

70+

Global Partners

Who We Are

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).

Mathematical Modeling

Developing sophisticated mathematical frameworks to represent complex real-world phenomena.

Simulation Design

Creating efficient simulations and computational methods to capture complex real-world dynamics and solve complex optimization problems.

Applied Solutions

Translating theoretical advances into practical applications across multiple domains and industries.

Recent Studies

Discover our latest research breakthroughs and ongoing projects

Wildfire risk modeling visualization for region-tailored fire weather indices

Region-Tailored Fire Weather Indices

Genetic Algorithms and Decision Trees outperform global models in wildfire prediction by adapting to local weather, terrain, and vegetation.

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Scientometrics visualization for exploration versus exploitation in publishing behavior

Exploration vs. Exploitation in Publishing

Analyzes how computer science scholars form "Home Venues" using a biologically inspired decision-making model.

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Machine learning concept drift illustration for adaptive ensemble modeling

Adapting ML to Concept Drift

A Genetic Algorithm-based ensemble model enhances ML performance under changing data patterns using AutoML pipelines.

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How Can We Collaborate

We are always on the search for opportunities to collaborate, share tools, or join projects that change the world.

1

Data collection / analysis

We will help you to help us to collect the data that answers your research question with our methods.

2

Data Modeling and Analysis

We develop models that solve the problem. We do not have such models? we try to invent them....

3

Solution development

We believe in applicative science - we develop solutions that are open source and adoptable.

4

Publications

We lead the writting of the methodological and results sections of technical reports and scientific manuscripts.

Media Coverage

Our research in the spotlight

Ynet feature on AI analysis of domesticated cat social bonds
Ynet January 2026

Meeting and howling: The social bonds of domesticated cats AI-analyzed

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Jerusalem Post coverage of prolonged psychological stress and cancer research
Jerusalem Post November 2025

Prolonged psychological stress and cancer

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Israel Hayom article about anxiety-like weaknesses in AI models
Israel Hayom October 2025

What happens when a bot is anxious? Israeli study reveals surprising weakness of AI models

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Research Pipeline

How ACML turns raw questions into validated tools and publishable science.

01

Question

Frame the real problem.

02

Evidence

Shape the data layer.

03

Method

Build the model or algorithm.

04

Validation

Stress-test against reality.

05

Release

Ship tools, decisions, and papers.

Contact Us

Let's get in touch! We answer super quickly - try us...

Lab information

Address

University of Haifa, Amir Complex, room 401

Phone

+972 545524589

Office Hours

Sunday - Thursday: 8:00 AM - 6:00 PM

Send us a message