What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Mathematical optimization
The scientist’s investigation covers issues in Mathematical optimization, Engineering design process, Optimal design, Product design and Optimization problem.
He is involved in the study of Mathematical optimization that focuses on Probabilistic-based design optimization in particular.
The Engineering design process study combines topics in areas such as Computer Aided Design, New product development, Formal methods, Systems design and Numerical analysis.
His Optimal design research incorporates elements of Parametric statistics, Index, Boundary, Automotive industry and Mathematical model.
The various areas that Panos Y. Papalambros examines in his Product design study include Marketing, Product type and Process.
His Optimization problem research integrates issues from Simple, Partition, Linearization and Control theory.
His most cited work include:
- Target Cascading in Optimal System Design (514 citations)
- Principles of Optimal Design: Modeling and Computation (484 citations)
- Exploration of Metamodeling Sampling Criteria for Constrained Global Optimization (295 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Mathematical optimization, Engineering design process, Optimal design, Optimization problem and Automotive engineering.
Specifically, his work in Mathematical optimization is concerned with the study of Probabilistic-based design optimization.
His Engineering design process research is multidisciplinary, incorporating perspectives in New product development, Systems design and Process.
In his work, Marketing and Conjoint analysis is strongly intertwined with Product design, which is a subfield of New product development.
In his research, Automotive industry is intimately related to Control engineering, which falls under the overarching field of Optimization problem.
His Automotive engineering research is multidisciplinary, relying on both Powertrain and Electric vehicle.
He most often published in these fields:
- Mathematical optimization (31.48%)
- Engineering design process (16.05%)
- Optimal design (15.23%)
What were the highlights of his more recent work (between 2011-2020)?
- Automotive engineering (8.85%)
- Systems design (8.02%)
- Engineering design process (16.05%)
In recent papers he was focusing on the following fields of study:
Panos Y. Papalambros focuses on Automotive engineering, Systems design, Engineering design process, Electric vehicle and Management science.
His work in Automotive engineering addresses subjects such as Control engineering, which are connected to disciplines such as Optimal design and Control theory.
His Optimal design study combines topics from a wide range of disciplines, such as Mathematical optimization, Commercial vehicle and Monotonic function.
His Systems design study incorporates themes from Teamwork, Process and Process management.
The concepts of his Engineering design process study are interwoven with issues in New product development, Multi-objective optimization, Task and Design methods.
He has included themes like Automotive industry, Optimization problem and Fuel efficiency in his Powertrain study.
Between 2011 and 2020, his most popular works were:
- Autonomous Electric Vehicle Sharing System Design (47 citations)
- When Crowdsourcing Fails: A Study of Expertise on Crowdsourced Design Evaluation (35 citations)
- Electric Vehicle Design Optimization: Integration of a High-Fidelity Interior-Permanent-Magnet Motor Model (34 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Mechanical engineering
His primary scientific interests are in Automotive engineering, Electric vehicle, Crowdsourcing, Powertrain and Control engineering.
Panos Y. Papalambros interconnects Systems design, Industrial organization and Public infrastructure in the investigation of issues within Electric vehicle.
His work deals with themes such as Automotive industry, Optimization problem, Process and Fuel efficiency, which intersect with Powertrain.
His Control engineering research includes elements of Driving cycle, Generator, Optimal design and Control theory.
Panos Y. Papalambros combines subjects such as Nonlinear programming, Vibration, Ride quality, Mathematical model and Computation with his study of Optimal design.
His research integrates issues of New product development and Engineering design process in his study of Suspension.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
