Biography

About Prof. Dr. Mehrdad Jalali

I am a Professor of Artificial Intelligence and Chemoinformatics at SRH University Heidelberg. My work combines methodological AI research with domain-driven scientific applications, with a particular focus on materials informatics, graph-based learning, optimization algorithms, large language models, and knowledge-driven data science.

Across research, teaching, and editorial leadership, I aim to build intelligent systems that are technically strong, scientifically useful, explainable, and aligned with real-world discovery processes.

My academic trajectory spans computer science, artificial intelligence, chemoinformatics, and data-driven materials research. I have been active in higher education and research for over two decades, with sustained engagement in machine learning, recommender systems, social network analysis, ontology engineering, semantic technologies, graph learning, and generative AI for scientific discovery.

Materials Today Communications

Research themes

Methodologically original, interdisciplinary, application-aware

AI for materials science

Machine learning and knowledge-driven frameworks for materials discovery, laboratory intelligence, and interpretation of complex scientific data.

Graph learning and scientific networks

Graph neural models, representative sampling, network sparsification, and relationship-aware prediction in structured scientific domains.

Optimization and intelligent search

Original metaheuristic algorithms inspired by natural and social systems for engineering design, materials search, and complex optimization.

LLM-enabled scientific workflows

Domain-aware use of large language models for electronic laboratory notebooks, knowledge extraction, documentation, and research automation.

Academic roles

Appointments and institutional affiliations

The academic profile combines university teaching and research with editorial leadership in international journals and interdisciplinary engagement across AI and computational discovery.

SRH University Heidelberg

Professor of Artificial Intelligence and Chemoinformatics

Teaching, supervision, curriculum development, and research in applied artificial intelligence, chemoinformatics, data science, and applied analytics.

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School of Arts, Information and Media, SRH University Heidelberg

Research Representative

Representing and supporting research activity within the school, with emphasis on applied AI, data science, interdisciplinary collaboration, and research visibility.

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IET Software, Wiley

Deputy Editor-in-Chief

Editorial leadership supporting journal quality, editorial direction, and research in software systems, intelligent computing, and digital technologies.

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Materials Today Communications, Elsevier

Section Editor

Leading the Materials Data Science and Artificial Intelligence section, with emphasis on AI-enabled materials discovery and scientific data workflows.

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Application of Large Language Modeling in Materials Science, Elsevier

Guest Editor

Guest editorial work on the role of large language models in materials science, scientific documentation, and research workflow transformation.

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Karlsruhe Institute of Technology

Former Senior Scientist

Interdisciplinary scientific computing and data-driven research contributing to later work in materials AI, graph learning, and applied machine learning.

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