معرفی
Dengpeng Huang is an Assistant Professor specializing in Artificial Intelligence and Robotics within the field of Elastomer Technology and Engineering. His work bridges computational modeling with advanced materials, focusing on applications in smart materials and mechanical systems.
Research Interests:
- Development of AI-driven models for predicting elastomer properties
- Multiscale analysis of rubber composites
- Electromechanical coupling in dielectric elastomer actuators
- Meshfree methods for metal cutting and chip formation
- Ultra-precision polishing of optical surfaces
Recent Trends: His 2024–2025 publications emphasize data-driven modeling of rubber's viscoelastic behavior, multiscale analysis of composites, and CNN-based approaches for material characterization. Earlier work (2014–2022) explores tool path optimization, beam modeling, and computational machining.
Scientific Recognition: Holds an h-index of 5 according to Scopus citations, with recognition as an AI and robotics expert in the service industry.
Advising & Collaboration: Collaborates with researchers like Anna Blume, Evgeny Karaseva, and Tim Bor on elastomer composites. Supervised at least one academic work, though specific students are not named in the provided data.
Labs & Teams: Affiliated with simulation and robotics teams in the smart materials sector, likely within an advanced materials or mechanical engineering research group.
