معرفی
Thomas Kaplan is a Visiting Professor at the School of Electronic Engineering and Computer Science, Queen Mary University of London. His research bridges computational modeling, music perception, and bioengineering with a focus on probabilistic frameworks for understanding rhythmic cognition, cardiovascular signal processing, and FPGA-accelerated genomic analysis. His work explores intersections between cultural influences on musical entrainment and hardware optimization for biological data processing.
Key research areas include:
- Probabilistic models of rhythmic perception and synchronization
- Enculturated bias in musical expectation
- FPGA-based acceleration of genomic algorithms
- Cardiovascular signal analysis using neural networks
Recent publications demonstrate cross-disciplinary contributions, spanning music cognition studies in Nature Human Behaviour to bioengineering advancements in Bioinformatics. While no explicit awards are listed, his research portfolio reflects sustained innovation in computational methods across multiple domains.
Advising and grants: While specific student names and grant details are not documented here, his involvement with Queen Mary's research groups suggests active participation in interdisciplinary projects. His lab affiliations include collaborations within the school's Signal Processing and Communications group, focusing on applied machine learning solutions for both cultural and biomedical challenges.
