What is he best known for?
The fields of study he is best known for:
- Structural engineering
- Civil engineering
- Mathematical optimization
Nikos D. Lagaros mainly focuses on Optimization problem, Mathematical optimization, Artificial neural network, Structural system and Algorithm.
His studies examine the connections between Optimization problem and genetics, as well as such issues in Finite element method, with regards to Discretization and Size effect on structural strength.
His work on Multi-objective optimization, Evolutionary algorithm and Engineering optimization as part of general Mathematical optimization research is frequently linked to Imperfect and Structure, bridging the gap between disciplines.
His study looks at the relationship between Artificial neural network and topics such as Robustness, which overlap with Probabilistic-based design optimization and Steel structures.
Nikos D. Lagaros combines subjects such as Earthquake engineering, Reliability engineering, Probabilistic logic, Simulation and Seismic analysis with his study of Structural system.
His Algorithm research integrates issues from Data mining, Probability of failure and Importance sampling.
His most cited work include:
- Reliability-based structural optimization using neural networks and Monte Carlo simulation (358 citations)
- Structural reliability analyis of elastic-plastic structures using neural networks and Monte Carlo simulation (192 citations)
- Structural optimization using evolution strategies and neural networks (155 citations)
What are the main themes of his work throughout his whole career to date?
Structural engineering, Optimization problem, Mathematical optimization, Seismic analysis and Artificial neural network are his primary areas of study.
His study in the fields of Structural system, Incremental Dynamic Analysis, Reinforced concrete and Seismic loading under the domain of Structural engineering overlaps with other disciplines such as Life-cycle cost analysis.
His research in Optimization problem focuses on subjects like Finite element method, which are connected to Probabilistic logic.
His Mathematical optimization study frequently links to adjacent areas such as Robustness.
His Seismic analysis research incorporates themes from Reliability engineering, Earthquake engineering and Nonlinear system.
The Artificial neural network study combines topics in areas such as Algorithm, Reduction and Data mining.
He most often published in these fields:
- Structural engineering (29.74%)
- Optimization problem (25.13%)
- Mathematical optimization (20.00%)
What were the highlights of his more recent work (between 2018-2021)?
- Topology optimization (7.18%)
- Structural system (14.36%)
- Structural engineering (29.74%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Topology optimization, Structural system, Structural engineering, Finite element method and Optimization problem.
His Topology optimization study also includes fields such as
- Computer engineering most often made with reference to Benchmark,
- Deep learning which is related to area like Algorithm, Generative Design and Shape optimization,
- Commercial software which connect with Weight distribution, Automotive industry and Automotive engineering.
His studies deal with areas such as Programming language, Application programming interface and struct as well as Structural system.
His Arch and Reinforced concrete study in the realm of Structural engineering connects with subjects such as Eccentricity, Plane and Context.
The study incorporates disciplines such as Steel tube, Composite material and Rotor in addition to Finite element method.
In his research, Optimization algorithm, Set and Eigen frequency is intimately related to Software, which falls under the overarching field of Optimization problem.
Between 2018 and 2021, his most popular works were:
- Environmental assessment of cost optimized structural systems in tall buildings (10 citations)
- A C# code for solving 3D topology optimization problems using SAP2000 (10 citations)
- Conceptual design of structural systems based on topology optimization and prefabricated components (7 citations)
In his most recent research, the most cited papers focused on:
- Structural engineering
- Civil engineering
- Mechanical engineering
Nikos D. Lagaros mainly investigates Topology optimization, Structural system, Benchmark, Optimization problem and Artificial intelligence.
His Structural system research is multidisciplinary, incorporating elements of Commercial software and Application programming interface.
His biological study spans a wide range of topics, including Tower, Structural engineering, Buckling, Turbine and Rotor.
His Artificial intelligence study integrates concerns from other disciplines, such as Algorithm and Reduction.
Algorithm is closely attributed to Finite element method in his study.
His Reduction study combines topics from a wide range of disciplines, such as Artificial neural network, Representation, Computational model, Nonlinear system and Pattern recognition.
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