Metaheuristic Optimization: 4 Cutting-Edge Applications

Seyed Muhammad Hossein Mousavi is an advanced AI researcher and innovator with a strong focus on optimization, multimodal learning, and emotion recognition. With over 50 peer-reviewed publications and a Google Scholar H-index of 12, he is ranked among the top 6% of active researchers in AI globally, according to ResearchGate metrics.

Mr. Mousavi is known for his pioneering work in emotion recognition from various modalities, synthetic data generation, and meta-heuristic optimization algorithms. His research bridges theory and real-world application, from emotion recognition using body motion and physiological signals to VR-based stimulus systems, depth estimation, pose optimization, and hardware-integrated multimodal AI systems.

As the founder of Cyrus Intelligence Research, he has led several independent projects combining Kinect motion capture, Arduino-based sensors, VR protocols, and AI pipelines involving techniques like PSO, GA, GCNs, ANFIS, and GANs. He has also contributed to open-source research and published reproducible codebases on GitHub.

Mr. Mousavi’s work spans multimodal fusion, emotion-driven synthetic data, graph neural networks, and real-time optimization for health and affective computing, with datasets and frameworks designed for academic and industrial AI use.

In addition to research, he is passionate about scientific transparency, hands-on experimentation, and democratizing access to AI knowledge through tutorials, pipelines, and public datasets.