Ir. Pramudita Satria Palar, S.T, M.T, Ph.D.
Kelompok Keahlian
Sekolah / Fakultas
Jabatan Fungsional
LEKTOR
Pendidikan
-
S1 Institut Teknologi Bandung, Bandung - Indonesia
2010 -
S2 Institut Teknologi Bandung, Bandung - Indonesia
2012 -
S3 The University Of Tokyo , Tokyo - Jepang
2015
- Optimasi Topologi Realistik Untuk Rekayasa dengan Memperhitungkan Keandalan dan Efek Ketidaktunakan Aliran (2026)
- Pengembangan Lanjut Scientific Machine Learning untuk Prediksi dan Ekstraksi Model Matematis Sistem Fisis (2026)
- Desain Sistem Fluida: Pendekatan berbasis Optimasi Topologi dan Surrogate Model (2026)
- Pengembangan metode Physics-Informed Neural Networks (PINNs) Berbasis FEM untuk Damage Tolerance Analysis Otonom pada Struktur Pesawat (2026)
- Pengembangan Metode Komputasi Modern berbasis Quantum Computing dan Machine Learning (2026)
- BOPTN - Pengembangan Physics-Informed Neural Networks (PINNs) untuk Aircraft Structural Integrity Program (ASIP) Pesawat Tempur TNI AU. (2026)
- Prediksi Cepat Sistem Fluida Nonlinear: Pendekatan Machine Learning berbasis Fourier Neural Autoencoder (2026)
- Optimalisasi Metode Lattice Boltzmann untuk Simulasi Multiphysics: Interaksi Fluida-Struktur (2025)
- Equity2025 - Optimasi Mekanisme Pengendalian Pasif Fenomena Vortex Induced Vibration Berbasis Metode Efficient Global Optimization (2025)
- Equity2025 - Computational Fluid Dynamics dan Machine Learning: Pengembangan Lanjut dan Aplikasi pada Media Berpori Kompleks (2025)
- Equity2025 - Dari Data ke Hukum Alam: White-box Machine Learning untuk Pemodelan Konstitutif Fluida dan Material (2025)
- Pengembangan Algoritma Optimasi Topologi untuk Efisiensi Aliran Fluida Eksternal (2025)
- Pengembangan Metode Numerik Meshless dengan Multiresolusi untuk Permasalahan Aliran Reakti (2025)
- Digital Twin Simulasi Fluida: Pendekatan Deep Learning Autoencoder dan Identifikasi Sistem Nonlinear (2025)
- Desain Variable Stiffness Actuator untuk Underwater Vehicle (2024)
- Pengembangan Turbulence Model Berbasis Data Menggunakan Metode Deep Learning untuk Computational Fluid Dynamics (2024)
- Machine Learning-Driven Approaches for Bio-Inspired Drag Reduction in Aircraft Aerodynamics and Ship Hydrodynamics (2024)
- Development of Lattice Boltzmann Method for Complex Fluid Flows Simulations (2024)
- Data-Driven Uncertainty Quantification of Fluid Systems via Explainable Machine Learning and Active Learning Strategy (2024)
- Kuantifikasi Probabilitas Insiden Runway Overrun dan Analisis Sensitivitas Terhadap Faktor yang Berkontribusi (2024)
- Analisis Kelaiktabrakan dan Optimisasi Kolom Berdinding Tipis dengan isian Struktur Lattice yang di Produksi menggunakan Teknologi Manufaktur Aditif (2024)
- Toward Sustainable Aviation: Multidisciplinary Analysis and Optimization of Hydrogen-Powered Aircraft via Machine Learning - PUAPT 2024 (2024)
- Advancing Game Theory- Driven Machine Learning Approaches for Sustainable Engineering Design Optimization (2024)
- Pengembangan Teknik Pemodelan Dinamika Pesawat Udara dengan Pendekatan Kotak Hitam (2023)
- Pengembangan Gaussian Process Regression untuk Prediksi Kerentanan Populasi Bangunan terhadap Gempa (2023)
- Pengembangan Explainable Statistical Learning untuk Desain dan Optimasi Sistem Dirgantara (2023)
- Pengembangan Metode Reduced Order Modeling untuk Estimasi Kuantitas Fisik secara Cepat pada Digital Twin (2023)
- Analisis Sensitivitas dan Optimisasi Desain Struktur Prismatik Berdinding Tipis untuk Aplikasi Kelaikantabrak (2023)
- Pengembangan Sistem Analisis Gerak Tanpa Penanda Berbasis Openpose (2023)
- Pengembangan Metode Optimasi Topologi untuk Kasus Mekanika Fluida dan Perpindahan Panas (2022)
- Kedaireka UGM: Penelitian Aerodynamics Carbody (2022)
- Analisis Crashworthiness dan Optimisasi Berbasis Pemelajaran Mesin untuk Desain Struktur Penyerap Energi (Tahun Kedua) (2022)
- Evaluasi Kenormalan Gait menggunakan Machine Learning (2022)
- Identifikasi Ketidakteraturan Jalan Rel Berdasarkan Respon Dinamik Menggunakan Machine Learning (2022)
- Mekanika Fluida berbasis Data dengan Interpretabilitas untuk Desain Aerodinamika (Interpretable Data-Driven Fluid Mechanics for Aerodynamics Design) (2022)
- Pengembangan Model Kerentanan dan Database Bangunan Residential untuk Peningkatan Ketahanan Kota Indonesia (2022)
- Pengembangan Metode Optimasi Multi-Disiplin Berbasis Machine Learning untuk Desain Drone Modern (2022)
- Pengembangan Teknik Deep Learning untuk Meningkatkan Akurasi pada Mekanika Fluida Eksperimental dengan Particle Image Velocimetry (2022)
- Riset Internasional - Pengembangan Metode Kombinasi Deep Feedforward Neural Network dengan Kriging untuk Desain, Optimasi, dan Analisis Aliran Fluida Kompleks (2021)
- Pengembangan Metode Optimasi berbasis Pemelajaran Mesin untuk Desain Aerodinamika Sayap Pesawat Medium&8208;Altitude&8208;Long&8208;Endurance (2021)
- Analisis Crashworthiness Dan Optimisasi Berbasis Pemelajaran Mesin Untuk Desain Struktur Penyerap Energi Hibrid (2021)
- Pengembangan Metode Komputasional untuk Mendukung Precision Medicine dalam Mencari Desain Optimal Kateter Intravena pada Prosedur Diagnosa Hipertensi dengan Adrenal Venous Sampling (2021)
- Mekanika Fluida Berbasis Data (Data-Driven) Untuk Prediksi Dan Analisis Aliran Fluida Secara Cepat (2021)
- Residential Building Taxonomy, System Classification And Reliability Analysis In West Java (2021)
- Pengembangan Metode Optimasi Bayesian Dengan Kernel Komposit Untuk Perancangan Aerodinamika (2019)
- Rapid prototyping assisted optimization and experimental three point bending evaluation of spreader bar structure (2026)
- Fourier neural autoencoder with hyperbolic feature mapping for nonlinear decomposition of fluid flows (2026)
- Multimodal Machine Learning Approach for Diagnosing Atopic Dermatitis (2026)
- Interpretable machine learning classification for vehicle response-based railway track irregularities assessment (2026)
- Interpretable machine learning classification for vehicle response-based railway track irregularities assessment (2026)
- Interpretable and Explainable Surrogate Modeling for Simulations: A State-of-the-Art Survey and Perspectives on Explainable AI for Decision-Making (2026)
- Global sensitivity analysis for engineering design based on individual conditional expectations (2026)
- Wake transition of flow past porous D-shaped cylinder near a moving wall (2025)
- A numerical study on dynamic flow past two tandem porous circular cylinders near a moving wall at Reynolds number of 150 (2025)
- Development of layer jamming-based variable stiffness mechanisms: Applications in flapping fin models (2025)
- SMT-EX: An Explainable Surrogate Modeling Toolbox for Mixed-Variables Design Exploration (2025)
- Kolmogorov-Arnold Networks for Data-Driven Turbulence Modeling (2025)
- Partial Dependence Plots and Data-Driven Surrogates for Aerodynamic Analysis of Airfoil Databases (2025)
- A numerical study on dynamic flow past two tandem porous circular cylinders near a moving wall at Reynolds number of 150 (2025)
- Synthesis and characterization of novel electrospun nanofibers based on taro starch: influence of solvent and isolation agent on morphology and diameter (2025)
- Optimization of viscoelastic dampers (VEDs) in reinforced concrete building designs using Gaussian Process Regression (2025)
- Darcy-Brinkman-Forchheimer physics-informed neural networks for inverse problems of homogeneous porous media flows (2025)
- Darcy-Brinkman-Forchheimer physics-informed neural networks for inverse problems of homogeneous porous media flows (2025)
- An Explainable Deep Learning for Data-Driven Turbulence Model Feature Discovery (2025)
- Multi-objective robust topology optimization of metalenses via Pareto optimal tracing and polynomial chaos (2025)
- Wake transition of flow past porous D-shaped cylinder near a moving wall (2025)
- Design Exploration of a Distributed Electric Propulsion Aircraft Using Explainable Surrogate Models (2024)
- An Efficient Data-Driven Neural Network Turbulence Model for Flow over Periodic Hills and Parametric Bump (2024)
- Polynomial-based Shapley Additive Explanations for Design Exploration in Turbomachinery (2024)
- Railway track vertical irregularities classification based on vehicle response using machine learning method (2024)
- Design Exploration and Optimization of a Multi-Corner Crash Box under Axial Loading via Gaussian Process Regression (2024)
- Numerical study on three-dimensional self-induced inverted flag (2024)
- Revisiting Cylindrical Buckling under Axial Compression using Explainable Machine Learning (2024)
- Reliability-oriented Sensitivity Analysis using Shapley Additive Explanations and Polynomial Chaos Expansion (2024)
- A numerical study on dynamic flows past three tandem inclined elliptic cylinders near moving wall (2024)
- Multi-objective design space exploration using explainable surrogate models (2024)
- Discovering chiral auxetic structures with near-zero Poisson's ratio using an active learning strategy (2024)
- Global sensitivity analysis of stochastic re-entry trajectory using explainable surrogate models (2024)
- Near-moving-wall flows past three tandem elliptical cylinders at low Reynolds number of 150 (2024)
- On the Advantages of Searching Infeasible Regions in Constrained Evolutionary-Based Multi-Objective Engineering Optimization (2024)
- Enhancing the explainability of regression-based polynomial chaos expansion by Shapley additive explanations (2023)
- Data-driven Surrogate Modeling using Deep Learning for Uncertainty Quantification of Random Fields (2023)
- Shapley Additive Explanations for Knowledge Discovery via Surrogate Models (2023)
- On The Choice of Activation Functions in Physics-Informed Neural Network for Solving Incompressible Fluid Flows (2023)
- Using Physics-Informed Neural Networks to Solve Inverse Heat Conduction Problems (2023)
- Global Sensitivity Analysis in Aerodynamic Design using Shapley Effects and Polynomial Chaos Regression (2023)
- Physics-Informed Proper Orthogonal Decomposition for Data Reconstruction (2023)
- Design exploration of additively manufactured chiral auxetic structure using explainable machine learning (2023)
- Performance assessment of Kriging with partial least squares for high-dimensional uncertainty and sensitivity analysis (2023)
- On kernel functions for bi-fidelity Gaussian process regressions (2023)
- Gaussian Process Regression for Seismic Fragility Assessment: Application to Non-Engineered Residential Buildings in Indonesia (2023)
- Uncertainty Quantification and Sensitivity Analysis for In-plane Thermo-mechanical Properties of 3-D Textile Composites (2022)
- Improving ionic conductivity of doped Li7La3Zr2O12 using optimized machine learning with simplistic descriptors (2022)
- Maximizing the thrust performance of flexible caudal fin panels via experimental optimization (2022)
- A multiobjective surrogate-assisted optimisation and exploration of low-boom supersonic transport planforms (2022)
- Modeling Non-Stationarity with Deep Gaussian Processes: Applications in Aerospace Engineering (2022)
- On Physics-Informed Deep Learning for Solving Navier-Stokes Equations (2022)
- Composite Kernel Functions for Surrogate Modeling using Recursive Multi-Fidelity Kriging (2022)
- Heteroscedastic gaussian process regression using nearest neighbor point estimates (2021)
- Gaussian processes and support vector regression for uncertainty quantification in aerodynamics (2021)
- Fast and adaptive reliability analysis via kriging and partial least squares (2021)
- A multi-objective approach for robust structural topology optimization (2021)
- Bayesian optimization of a low-boom supersonic wing planform (2021)
- Polynomial-chaos–kriging with gradient information for surrogate modeling in aerodynamic design (2021)
- On dimensionality reduction via partial least squares for Kriging-based reliability analysis with active learning (2021)
- On the impact of covariance functions in multi-objective bayesian optimization for engineering design (2020)
- Single- And multi-objective optimization of a low-speed airfoil using genetic algorithm (2020)
- Gaussian process surrogate model with composite kernel learning for engineering design (2020)
- Bayesian methods for multi-objective optimization of a supersonic wing planform (2020)
- Gradient-enhanced universal kriging with polynomial chaos as trend function (2020)
- SIMP versus level set function as an implicit representation model for structural topology optimization (2020)
- Uncertainty quantification methods for evolutionary optimization under uncertainty (2020)
- A multi-point mechanism of expected hypervolume improvement for parallel multi-objective Bayesian global optimization (2019)
- Trading-off Data Fit and Complexity in Training Gaussian Processes with Multiple Kernels (2019)
- Multi-objective kriging-based optimization for high-fidelity wind turbine design (2019)
- Benchmarking constrained surrogate-based optimization on low speed airfoil design problems (2019)
- On the use of surrogate models in engineering design optimization and exploration: The key issues (2019)
- On the use of metaheuristics in hyperparameters optimization of Gaussian processes (2019)
- A comparative study of multi-objective expected improvement for aerodynamic design (2019)
- Global sensitivity analysis via multi-fidelity polynomial chaos expansion (2018)
- Benchmarking multi-objective bayesian global optimization strategies for aerodynamic design (2018)
- Framework for robust optimization combining surrogate model, memetic algorithm, and uncertainty quantification (2016)
- Flow field around asymmetric flapping flat plate optimized using micro genetic algorithm (2014)
- Flow field around asymmetric flapping flat plate optimized using micro genetic algorithm (2014)
- Evolutionary algorithm based multi-objective aerodynamics optimization method for low reynolds number airfoil (2014)
- ALAT PEMBATAS TRANSPARAN DAN BERTEKANAN NEGATIF ANTARA DOKTER GIGI DAN PASIEN UNTUK MENCEGAH TRANSMISI VIRUS DAN BAKTERI DARI PASIEN KE DOKTER GIGI-Paten (2022)
- ALAT PEMBATAS TRANSPARAN DAN BERTEKANAN NEGATIF ANTARA DOKTER GIGI DAN PASIEN UNTUK MENCEGAH TRANSMISI VIRUS DAN BAKTERI DARI PASIEN KE DOKTER GIGI-Paten (2021)
- ALAT TAMBAHAN PADA ALAT PENYEDOT AEROSOL LUAR MULUT UNTUK MENGURANGI PAPARAN VIRUS DAN BAKTERI DARI PASIEN KE DOKTER GIGI DENGAN MENCIPTAKAN RUANG BERTEKANAN NEGATIF-Paten (2021)
- ALAT PENYARING TAMBAHAN PADA ALAT PEMBATAS TRANSPARAN DAN BERTEKANAN NEGATIF ANTARA DOKTER GIGI DAN PASIEN UNTUK MEMISAHKAN UDARA BERSIH DAN VIRUS ATAU BAKTERI YANG KELUAR DARI ALAT PEMBATAS TRANSPARAN DAN BERTEKANAN NEGATIF-Paten (2021)
- KIPAS RADIATOR DENGAN TORSI RENDAH-Paten (2018)