Leifur Leifsson
Computer Science · Purdue University West Lafayette
Publications
296
Citations
3,222
Est. group size
~4
Recurring co-author estimate
Active years
24
Publishing since 2003
Leifur Leifsson works on computer-aided engineering design, developing efficient simulation and optimization methods for complex systems such as aircraft wings, antennas, microwave devices, and spacecraft trajectories. A central focus is building fast approximate models (surrogates), including machine learning and Gaussian process methods, that reduce the computational cost of exploring designs and quantifying uncertainty in engineering performance. Much of the recent work combines these surrogate modeling techniques with antenna and microwave circuit design, as well as uncertainty quantification for aerospace applications.
Publication output has remained fairly steady over the last decade, averaging around 14-16 papers per year with only minor fluctuations.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Isolation and Circular Polarization Diversity in 2×1 MIMO Microstrip Patch Array Using Closed Metallic Loop
IEEE Access · 2026
- Surrogate-Based Uncertainty Propagation in Aerostructural Analysis of a Wing in Subsonic Flow
2026
- Efficient Design of Airfoil Shapes Using Surface Pressure–Informed Bayesian Optimization
2026
- Special Issue: Data-Driven Design Under Uncertainty
Journal of Mechanical Design · 2026
- Aerodynamic Uncertainty Analysis of the Common Research Model Wing Using Autoencoders
2026
- Efficient Design Under Uncertainty of Spacecraft and Trajectory Systems Using Gaussian Process Surrogates
2026
- Gaussian Process Surrogate Models for Uncertainty Quantification in Spacecraft and Trajectory Systems
2026
- Expedited Model-Based Multi-Objective Microwave Design With Interleaved ML and Local Design Adjustments
IEEE Access · 2026
- Effective Medium Modeling of Anisotropic Perforated Composites: Electromagnetic Equivalence of Elliptical and Capsule Structure
IEEE Access · 2026
- Adaptive Hyperparameter Optimization Strategies for Neural Network Models in Engineering Design Optimization
Journal of Aerospace Information Systems · 2026
- Multi-fidelity Model Management Strategy for Accelerated Antenna Optimization
Lecture notes in computer science · 2026
- Uncertainty Propagation for Random Field Outputs Using Denoising Diffusion Models
Lecture notes in computer science · 2026
- Multidisciplinary Iterative Neural Networks for Propagating Uncertainties in Coupled Systems
Lecture notes in computer science · 2026
- Design-Ready Microwave Modeling by Spatial and Dimensional Domain Restriction
Lecture notes in computer science · 2026
- Power Transmission for Millimeter-Wave Indoor/Outdoor Wearable IoT Devices Using Grounded Coplanar Waveguide-Fed On-Body Antenna
IEEE Access · 2025
- Lecture notes in computer science×36
- IEEE Access×9
- Procedia Computer Science×9
- Engineering Computations×8
- Aerospace Science and Technology×6
- Pavankumar Koratikere
Computer Science · Purdue University West Lafayette
- Hao Wang
Computer Science · Purdue University West Lafayette
- Prathamesh Chaudhari
Computer Science · Purdue University West Lafayette
- Michael W. Trosset
Computer Science · Indiana University
- Hao Wu
Decision Sciences · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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