Prof. Calvin Tsay — Research Profile
Imperial College London · Department of Computing
About
Prof. Calvin Tsay at Imperial College London Department of Computing lists Optimization, control, computational methods, machine learning as their registered research area.
Research keywords
Recent papers
- Atoms to Processes: The Role of Artificial Intelligence and Machine Learning in Chemical EngineeringIndustrial & Engineering Chemistry Research · Sep 30
- A simultaneous framework for training neural ODEs using full discretization and large-scale nonlinear programmingJournal of Process Control · Sep 13
- Techno–economic optimisation of hydrogen geological storage in UK depleted gas reservoirsEnergy Conversion and Management · Sep 3
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Eleonora Giunchiglia 교수 연구실
Imperial College London · Department of Electrical and Electronic Engineering
OxiGen: Oxidation-State-Aware Crystal GenerationPreprintarXiv (Cornell University) · Oct 6Shared topic: Machine Learning in Materials Science
Luca Sapienza 교수 연구실
University of Cambridge · Department of Engineering
Transfer learning-aided, artificial intelligence approach to evaluate optical properties of materials for classical and quantum photonic applicationsPreprintarXiv (Cornell University) · Oct 11Shared topic: Machine Learning in Materials Science
Goran Strbac 교수 연구실
Imperial College London · Department of Electrical and Electronic Engineering
Flexibility technologies in clean energy systemsNewNature Reviews Clean Technology · Oct 12Shared topic: Integrated Energy Systems Optimization
Other labs in this department
- Abbas Edalat 교수 연구실
Computational geometry, optimization theory, game theory
- Alastair Donaldson 교수 연구실
Formal verification, software performance optimization
- Aldo Faisal 교수 연구실
Neurotechnology, machine learning, algorithmic behavior prediction
- Alessandra Russo 교수 연구실
Computational logic, logic-based machine learning, autonomous systems
- Alessio Lomuscio 교수 연구실
AI verification, computer vision validation, certified learning
- Andrew Davison 교수 연구실
Computer vision, robotics, SLAM, augmented reality