Teaching
Applied AI education for scientific and professional practice
At SRH University Heidelberg, Prof. Jalali contributes to teaching, supervision, and curriculum development in artificial intelligence, chemoinformatics, data science, applied analytics, and interdisciplinary project-based learning.
Focus areas
Courses, supervision, and project learning
The teaching profile builds on more than 35 courses taught and more than two decades of academic work, with emphasis on usable AI methods and research-aware implementation.
Applied Data Science and Analytics
Chemoinformatics and materials data science
Machine learning for scientific and engineering data
Responsible AI, data analytics, and project-based learning
Research supervision in interdisciplinary AI and materials informatics
Supervision record
Graduate research mentoring
15+
Primary PhD supervisions
100+
Primary Master's supervisions
5+
Secondary PhD supervisions
50+
Secondary Master's supervisions
Supervision and collaboration
Student and thesis supervision is especially aligned with applied AI, materials informatics, graph learning, LLM-enabled research workflows, optimization algorithms, semantic technologies, and responsible data-centric decision support.