Publications, Talks, and Patent

Journal papers

1. Mazaya, Bondan Dhifan, Anggadiawan Pradipta Mulya, Andri Setiawan, Pramudita Satria Palar, and Prasanti Widyasih Sarli. "Optimization of viscoelastic dampers (VEDs) in reinforced concrete building designs using Gaussian Process Regression." In Structures, vol. 81, p. 110351. Elsevier, 2025. 

2. Nguyen, Son Dang Thai, Pramudita Satria Palar, Lavi Rizki Zuhal, Nguyen Dinh Duc, Duong Viet Dung. "Darcy-Brinkman-Forchheimer Physics-informed neural networks for inverse problems of homogeneous porous media flows" Physics of Fluids 37, no. 8 (2025). 

3. Alhafiz, Muhammad Ridho, Lavi Rizki Zuhal, Duong Viet Dung, and Pramudita Satria Palar. "An Explainable Deep Learning for Data-Driven Turbulence Model Feature Discovery." IEEE Access (2025). 

4. Nurrohmad, Abian, Fajar Ari Wandono, Awang Rahmadi Nuranto, M. Hafid, Try Kusuma Wardana, Kosim Abdurohman, Ristiyanto Adiputra, Agus Bayu Utama, Didi Budhyarso, and Pramudita Satria Palar. "Rapid Prototyping Assisted Optimization and Experimental Three Point Bending Evaluation of Spreader Bar Structure." International Journal of Lightweight Materials and Manufacture (2025). Article in Press. 

5. Arifin, Muhammad Subhan, Lavi Rizki Zuhal, Afriyanti Sumboja, and Pramudita Satria Palar. "Multi-objective robust topology optimization of metalenses via Pareto optimal tracing and polynomial chaos." Structural and Multidisciplinary Optimization 68, no. 8 (2025): 1-21. 

6. Nguyen, Dang Thai Son, Pramudita Satria Palar, Ich Long Ngo, Yong Cao, and Viet Dung Duong. "Wake transition of flow past porous D-shaped cylinder near a moving wall." Physics of Fluids 37, no. 8 (2025). 

7. Nguyen, Hoang Quan, Pramudita Satria Palar, Lavi Rizki Zuhal, Jhe-Kai Lin, and Viet Dung Duong. "A numerical study on dynamic flow past two tandem porous circular cylinders near a moving wall at Reynolds number of 150." Advances in Water Resources (2025): 105054. 

8. Harlan, Stefanus Evan, Fairuz Zuhair Fulvian, Muhammad Daffa Robani, Pramudita Satria Palar, Vani Virdyawan, and Lavi Rizki Zuhal. "Development of layer jamming-based variable stiffness mechanisms: Applications in flapping fin models." Ocean Engineering 325 (2025): 120752. 

9. Sawitri, Asti, Halida Rahmi Luthfianti, Dian Ahmad Hapidin, Dhewa Edikresnha, Pramudita Satria Palar, Neni Surtiyeni, Arie Wibowo, and Khairurrijal Khairurrijal. "Synthesis and characterization of novel electrospun nanofibers based on taro starch: influence of solvent and isolation agent on morphology and diameter." Polymer International 74, no. 3 (2025): 217-230. 

10. Andria, Novi, Lavi Rizki Zuhal, Pramudita Satria Palar, Duong Viet Dung, Leonardo Gunawan, and Hari Muhammad. "Numerical study on three-dimensional self-induced inverted flag." Journal of Fluids and Structures 130 (2024): 104198.  

11. Afdhal, Ondrej Jirousek, Jan Falta, Yohanes Bimo Dwianto, Pramudita Satria Palar. "Discovering Chiral Auxetic Structures with near-Zero Poisson's Ratio using an Active Learning Strategy." Materials & Design 244 (2024). 

12. Jusuf, Annisa, Maulana Hayu Jarwadi, Dhimaz Galang Hastungkorojati, Leonardo Gunawan, Mahesa Akbar, Kemas Zakaria, Muhammad Faiz Izzaturrahman, and Pramudita Satria Palar. "Design Exploration and Optimization of a Multi-Corner Crash Box under Axial Loading via Gaussian Process Regression." International Journal of Technology 15, no. 6 (2024). 

13. Palar, Pramudita Satria, Rafael Stevenson, Muhammad Ridho Alhafiz, Muhammad Daffa Robani, Koji Shimoyama, and Lavi Rizki Zuhal. "Global sensitivity analysis of stochastic re-entry trajectory using explainable surrogate models." Acta Astronautica 222 (2024). 

14. Palar, Pramudita Satria, Eric Nguyen Van, Nathalie Bartoli, and Joseph Morlier. "Design exploration of a distributed electric propulsion aircraft using explainable surrogate models." Journal of Aircraft 61, no. 5 (2024): 1561-1574. 

15. Palar, Pramudita Satria, Yohanes Bimo Dwianto, Lavi Rizki Zuhal, Joseph Morlier, Koji Shimoyama, and Shigeru Obayashi. "Multi-objective design space exploration using explainable surrogate models." Structural and Multidisciplinary Optimization 67, no. 3 (2024): 1-24. 

16. Viet Dung Duong, Van Luc Nguyen, Van Tien Nguyen, Pramudita Satria Palar, Lavi Rizki Zuhal, Trung Ngo, Cong Truong Dinh, Wei-Cheng Wang "A Numerical Study on Dynamic Flows past Three Tandem Inclined Elliptic Cylinders Near Moving Wall." Physics of Fluids 36, no. 2 (2024). 

17. Duong, Viet Dung, Van Luc Nguyen, Van Tien Nguyen, Pramudita Satria Palar, Lavi Rizki Zuhal, Anh Tuan Le, Jhe-Kai Lin, and Wei-Cheng Wang. "Near-moving-wall flows past three tandem elliptical cylinders at low Reynolds number of 150." Physics of Fluids 36, no. 1 (2024). 

18. Bimo Dwianto, Yohanes, Pramudita Satria Palar, Lavi Rizki Zuhal, and Akira Oyama. "On the Advantages of Searching Infeasible Regions in Constrained Evolutionary-Based Multi-Objective Engineering Optimization." Journal of Mechanical Design 146, no. 4 (2024). 

19. Pramudita Satria Palar, Lavi Rizki Zuhal, Koji Shimoyama. "Global Sensitivity Analysis in Aerodynamic Design using Shapley Effects and Polynomial Chaos Regression." IEEE Access Volume 11 (2023)

20. Afdhal, Ondrej Jirousek, Pramudita Satria Palar, Jan Falta, Yohanes Bimo Dwianto. "Design Exploration of Additively Manufactured Chiral Auxetic Structure Using Explainable Machine Learning." Materials & Design (2023): 232, 112128. 

21. Lavi Rizki Zuhal, Ghifari Adam Faza, Pramudita Satria Palar, and Rhea Patricia Liem. "Performance assessment of Kriging with partial least squares for high-dimensional uncertainty and sensitivity analysis." Structural and Multidisciplinary Optimization no. 5 (2023): 115. 

22. Palar, Pramudita Satria, Lucia Parussini, Luigi Bregant, Koji Shimoyama, and Lavi Rizki Zuhal. "On kernel functions for bi-fidelity Gaussian process regressions." Structural and Multidisciplinary Optimization 66, no. 2 (2023): 37.  

23. Sarli, Prasanti Widyasih, Pramudita Satria Palar, Yuni Azhari, Andri Setiawan, Yongky Sanjaya, Sophia Crestotes Sharon, Iswandi Imran. "Gaussian Process Regression for Seismic Fragility Assessment: Application to Non-Engineered Residential Buildings in Indonesia." Buildings, 23, 59 (2023).

24. Palar, Pramudita Satria, Lavi Rizki Zuhal, and Koji Shimoyama. "Enhancing the explainability of regression-based polynomial chaos expansion by Shapley additive explanations." Reliability Engineering and System Safety 232 (2023).

25. Fathurrohim, Luqman, Lavi Rizki Zuhal, Pramudita Satria Palar, and Yohanes Bimo Dwianto. "Maximizing the thrust performance of flexible caudal fin panels via experimental optimization." Ocean Engineering 266 (2022): 112969. 

26. Jim, Timothy MS, Ghifari A. Faza, Pramudita Satria Palar, and Koji Shimoyama. "A Multiobjective Surrogate-Assisted Optimisation and Exploration of Low-Boom Supersonic Transport Planforms." Aerospace Science and Technology 128 (2022).

27. Adhyatma, Abdurrahman, Yijie Xu, Naufal Hanif Hawari, Pramudita Satria Palar, and Afriyanti Sumboja. "Improving ionic conductivity of doped Li7La3Zr2O12 using optimized machine learning with simplistic descriptors." Materials Letters 308 (2022): 131159. 

28. Zuhal, Lavi Rizki, Ghifari Adam Faza, Pramudita Satria Palar, and Rhea Patricia Liem. "On Dimensionality Reduction via Partial Least Squares for Kriging-based Reliability Analysis with Active Learning." Reliability Engineering and System Safety 215 (2021)

29. Jim, Timothy MS, Ghifari A. Faza, Pramudita Satria Palar, and Koji Shimoyama. "Bayesian Optimization of a Low-Boom Supersonic Wing Planform." AIAA journal 59, no. 11 (2021): 4514-4529.

30. Zuhal, Lavi Rizki, Kemas Zakaria, Pramudita Satria Palar, Koji Shimoyama, Rhea Patricia Liem, "Polynomial-Chaos–Kriging with Gradient Information for Surrogate Modeling in Aerodynamic Design." AIAA Journal, Vol. 59, No. 11 (2021), pp. 4514-4529 doi: doi/abs/10.2514/1.J060225 

31. Pramudita Satria Palar, Lavi Rizki Zuhal, and Koji Shimoyama. "Gaussian Process Surrogate Model with Composite Kernel Learning for Engineering Design." AIAA Journal 58.4 (2020): 1864-1880.

32. Zuhal, Lavi Rizki, Pramudita Satria Palar, and Koji Shimoyama. "A comparative study of multi-objective expected improvement for aerodynamic design." Aerospace Science and Technology 91 (2019): 548-560

33. Palar, Pramudita Satria, and Koji Shimoyama. "Efficient Global Optimization with Ensemble and Selection of Kernel Functions for Engineering Design." Structural and Multidisciplinary Optimization 59 (2019): 93-116.

34. Putra, Narendra Kurnia, Pramudita Satria Palar, Hitomi Anzai, Koji Shimoyama, and Makoto Ohta. "Multiobjective Design Optimization of Stent Geometry with Wall Deformation for Triangular and Rectangular Struts." Medical & Biological Engineering & Computing 57 (2019): 15-26.

35. Palar, Pramudita Satria, and Koji Shimoyama. "On efficient global optimization via universal Kriging surrogate models." Structural and Multidisciplinary Optimization 57 (2018): 2377–2397

36. Palar, Pramudita Satria, Lavi Rizki Zuhal, Koji Shimoyama, and Takeshi Tsuchiya. "Global sensitivity analysis via multi-fidelity polynomial chaos expansion." Reliability Engineering & System Safety 170 (2018): 175-190.

37. Palar, Pramudita Satria, Takeshi Tsuchiya, and Geoffrey Thomas Parks. "A comparative study of local search within a surrogate-assisted multi-objective memetic algorithm framework for expensive problems." Applied Soft Computing 43 (2016): 1-19.

38. Palar, Pramudita Satria, Takeshi Tsuchiya, and Geoffrey Thomas Parks. "Multi-fidelity non-intrusive polynomial chaos based on regression." Computer Methods in Applied Mechanics and Engineering 305 (2016): 579-606.

Conference papers 

1. Wafi, Muhammad G., Pramudita S. Palar, Mohammad D. Robani, Annisa Jusuf, Zuhal Lavi, and Joseph Morlier. "Revisiting Cylindrical Buckling under Axial Compression using Explainable Machine Learning." In AIAA SCITECH 2024 Forum, p. 0265. 2024. 

2. Alhafiz, Muhammad R., Pramudita S. Palar, and Zuhal Lavi. "An Efficient Data-Driven Neural Network Turbulence Model for Flow over Periodic Hills and Parametric Bump." In AIAA SCITECH 2024 Forum, p. 1985. 2024. 

3. Palar, Pramudita S., and Ashwin Renganathan. "Reliability-oriented Sensitivity Analysis using Shapley Additive Explanations and Polynomial Chaos Expansion." In AIAA SCITECH 2024 Forum, p. 0789. 2024. 

4. Palar, Pramudita S., Koji Shimoyama, and Shigeru Obayashi. "Polynomial-Based Shapley Additive Explanations for Design Exploration in Turbomachinery." In AIAA SCITECH 2024 Forum, p. 1226. 2024. 

5. Zakaria, Kemas, Pramudita S. Palar, Lavi R. Zuhal, and Joseph Morlier. "Physics-Informed Proper Orthogonal Decomposition for Data Reconstruction." In AIAA SCITECH 2023 Forum, p. 0538. 2023. 

6. Palar, Pramudita S., Lavi R. Zuhal, Koji Shimoyama, Yohanes Bimo Dwianto, and Joseph Morlier. "Shapley Additive Explanations for Knowledge Discovery via Surrogate Models." In AIAA SCITECH 2023 Forum, p. 0332. 2023. 

7. Palar, Pramudita S., Muhamad A. Aziz, Lavi R. Zuhal, Poetro L. Sambegoro, and Duong V. Dung. "Using Physics-Informed Neural Networks to Solve Inverse Heat Conduction Problems." In AIAA SCITECH 2023 Forum, p. 0537. 2023. 

8. Dung, Duong V., Nguyen D. Song, Pramudita S. Palar, and Lavi R. Zuhal. "On The Choice of Activation Functions in Physics-Informed Neural Network for Solving Incompressible Fluid Flows." In AIAA SCITECH 2023 Forum, p. 1803. 2023. 

9. Palar, Pramudita S., Rafael Stevenson, Cahya Amalinadhi, Kemas Zakaria, and Lavi R. Zuhal. "Data-driven Surrogate Modeling using Deep Learning for Uncertainty Quantification of Random Fields." In AIAA SCITECH 2023 Forum, p. 2044. 2023. 

10. Nasution, Muhammad Ridlo Erdata, Pramudita S. Palar, Bambang K. Hadi, Djarot Widagdo, Lavi Zuhal, and Arief Yudhanto. "Uncertainty Quantification and Sensitivity Analysis for In-plane Thermo-mechanical Properties of 3-D Textile Composites." In AIAA SCITECH 2022 Forum, p. 1435. 2022.

11. Palar, Pramudita S., Lucia Parussini, Luigi Bregant, Koji Shimoyama, Muhammad F. Izzaturrahman, Febrian A. Baehaqi, and Lavi Zuhal. "Composite Kernel Functions for Surrogate Modeling using Recursive Multi-Fidelity Kriging." In AIAA SCITECH 2022 Forum, p. 0506. 2022.

12. Amalinadhi, Cahya, Pramudita S. Palar, Rafael Stevenson, and Lavi Zuhal. "On Physics-Informed Deep Learning for Solving Navier-Stokes Equations." In AIAA SCITECH 2022 Forum, p. 1436. 2022.

13. Izzaturrahman, Muhammad F., Pramudita S. Palar, Lavi Zuhal, and Koji Shimoyama. "Modeling Non-Stationarity with Deep Gaussian Processes: Applications in Aerospace Engineering." In AIAA SCITECH 2022 Forum, p. 1096. 2022.

14. Zuhal, Lavi Rizki, Ghifari A. Faza, Pramudita S. Palar, and Rhea P. Liem. "Fast and Adaptive Reliability Analysis via Kriging and Partial Least Squares." In AIAA Scitech 2021 Forum, p. 0675. 2021.

15. Palar, Pramudita S., Kemas Zakaria, Lavi Rizki Zuhal, Koji Shimoyama, and Rhea P. Liem. "Gaussian Processes and Support Vector Regression for Uncertainty Quantification in Aerodynamics." In AIAA Scitech 2021 Forum, p. 0181. 2021.

16. Robani, Muhammad D., Pramudita S. Palar, and Lavi Rizki Zuhal. "Heteroscedastic Gaussian Process Regression using Nearest Neighbor Point Estimates." In AIAA Scitech 2021 Forum, p. 1589. 2021.

17. Nathan, Nathan, Pramudita S. Palar, and Lavi Rizki Zuhal. "A Multi-objective Approach for Robust Structural Topology Optimization." In AIAA Scitech 2021 Forum, p. 1777. 2021.

18. Palar, Pramudita Satria, Koji Shimoyama, and Lavi Rizki Zuhal. "Uncertainty quantification methods for evolutionary optimization under uncertainty." In Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pp. 1614-1622. 2020.

19. Jim, Timothy Man Shui, Ghifari Adam Faza, Pramudita Satria Palar, and Koji Shimoyama. "Bayesian methods for multi-objective optimization of a supersonic wing planform." In Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pp. 1641-1643. 2020.

20. Pramudita Satria Palar, Lavi Rizki Zuhal, Tinkle Chugh, Alma Rahat. "On the Impact of Covariance Functions in Multi-Objective Bayesian Optimization for Engineering Design." 2020 AIAA Scitech Conference. 2020.

21. Zuhal, Lavi Rizki, Kemas Zakaria, Pramudita Satria Palar, Koji Shimoyama, Rhea Patricia Liem. "Gradient-Enhanced Universal Kriging with Polynomial Chaos as Trend Function" 2020 AIAA Scitech Conference. 2020.

22. Yang, Kaifeng, Palar, Pramudita Satria, Michael Emmerich, Koji Shimoyama, Thomas Bäck  "A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization ."  The Genetic and Evolutionary Computation Conference (GECCO) 2019. Prague, Czech Republic. 2019. 

23. Palar, Pramudita Satria, Lavi Rizki Zuhal, Koji Shimoyama "On the use of metaheuristics in hyperparameters optimization of gaussian processes ."  The Genetic and Evolutionary Computation Conference (GECCO) 2019. Prague, Czech Republic. 2019. 

24. Palar, Pramudita Satria, Yohanes Bimo Dwianto, Rommel G. Regis, Akira Oyama, Lavi Rizki Zuhal, "Benchmarking Constrained Surrogate-based Optimization on Low Speed Airfoil Design Problems ."  The Genetic and Evolutionary Computation Conference (GECCO) 2019. Prague, Czech Republic. 2019. 

25. Palar, Pramudita Satria, Rhea Patricia Liem, Lavi Rizki Zuhal, Koji Shimoyama. "On The Use of Surrogate Models in Engineering Design Optimization and Exploration: The Key Issues."  The Genetic and Evolutionary Computation Conference (GECCO) 2019. Prague, Czech Republic. 2019. 

26. Zuhal, Lavi R., Ghifari Adam Faza, Pramudita Satria Palar and Koji Shimoyama. "Multi-Objective Kriging-Based Optimization for High-Fidelity Wind Turbine Design" 2019 AIAA Scitech Conference. 2019.

27. Palar, Pramudita Satria and Koji Shimoyama. "Kriging with Composite Kernel Learning for Surrogate Modeling in Computer Experiments." 2019 AIAA Scitech Conference. 2019.

28. Palar, Pramudita Satria, Kaifeng Yang, Koji Shimoyama, Michael Emmerich, and Thomas Bäck.  "Multi-Objective Aerodynamic Design with User Preference using Truncated Expected Hypervolume Improvement."  The Genetic and Evolutionary Computation Conference (GECCO) 2018. Kyoto, Japan. 2018.

29. Palar, Pramudita Satria and Koji Shimoyama. "On The Accuracy of Kriging Model in Active Subspaces." 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Kissimmee, Florida, USA, 2018.

30. Zuhal, Lavi R., Cahya Amalinadhi, Yohanes Bimo Dwianto, Pramudita Satria Palar, and Koji Shimoyama. "Benchmarking Multi-Objective Bayesian Global Optimization Strategies for Aerodynamic Design." 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Kissimmee, Florida, USA, 2018.

31. Palar, Pramudita Satria, and Koji Shimoyama. "Polynomial-chaos-kriging-assisted efficient global optimization." Computational Intelligence (SSCI), 2017 IEEE Symposium Series on. IEEE, 2017.

32. Palar, Pramudita Satria, and Koji Shimoyama. "Exploiting gradient for kriging-based multi-objective aerodynamic optimization." Computational Intelligence (SSCI), 2017 IEEE Symposium Series on. IEEE, 2017.

33. Putra, Narendra Kurnia, Pramudita Satria Palar, Hitomi Anzai, Koji Shimoyama, and Makoto Ohta. "Stent design optimization based on kriging surrogate model under deformed vessel wall: Pulsatile inlet flow." Instrumentation, Control, and Automation (ICA), 2017 5th International Conference on. IEEE, 2017.

34. Palar, Pramudita Satria, and Koji Shimoyama. "On multi-objective efficient global optimization via universal Kriging surrogate model." Evolutionary Computation (CEC), 2017 IEEE Congress on. IEEE, 2017.

35. Putra, Narendra Kurnia, Pramudita Satria Palar, Hitomi Anzai, Koji Shimoyama, and Makoto Ohta. "Comparative Study Between Different Strut’s Cross Section Shape on Minimizing Low Wall Shear Stress Along Stent Vicinity via Surrogate-Based Optimization." World Congress of Structural and Multidisciplinary Optimisation. Springer, Cham, 2017.

36. Palar, Pramudita Satria, and Koji Shimoyama. "Exploiting active subspaces in global optimization: how complex is your problem?." Proceedings of the Genetic and Evolutionary Computation Conference Companion. ACM, 2017.

37. Palar, Pramudita Satria and Koji Shimoyama. "Multi-Fidelity Uncertainty Analysis in CFD Using Hierarchical Kriging." 35th AIAA Applied Aerodynamics Conference. 2017.

38. Putra, Narendra Kurnia, Pramudita Satria Palar, Hitomi Anzai, Koji Shimoyama, and Makoto Ohta. "In search for a better stent: Surrogate based multi-objective optimization of stent design under influence of vessel wall deformation." Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual International Conference of the IEEE. IEEE, 2017.

39. Palar, Pramudita Satria, and Koji Shimoyama. "Multiple Metamodels for Robustness Estimation in Multi-objective Robust Optimization." International Conference on Evolutionary Multi-Criterion Optimization. Springer, Cham, 2017.

40. Palar, Pramudita Satria, Yohanes Bimo Dwianto, Lavi Rizki Zuhal, and Koji Shimoyama. "Framework for Robust Optimization Combining Surrogate Model, Memetic Algorithm, and Uncertainty Quantification." International Conference in Swarm Intelligence. Springer, Cham, 2016.

41. Palar, Pramudita Satria, Takeshi Tsuchiya, and Geoffrey Thomas Parks. "Decomposition-based evolutionary aerodynamic robust optimization with multi-fidelity point collocation non-intrusive polynomial chaos." 17th AIAA Non-Deterministic Approaches Conference. 2015.

42. Palar, Pramudita Satria, Takeshi Tsuchiya, and Geoffrey Thomas Parks. "Comparison of scalarization functions within a local surrogate assisted multi-objective memetic algorithm framework for expensive problems." Evolutionary Computation (CEC), 2015 IEEE Congress on. IEEE, 2015.

Patent

1. "Low torque radiator fan blades",  Indonesian Patent Office, Indonesian Ministry of Law and Human Rights; Granted 2022.

2. "Transparent Negative-Pressure Barrier Device Between Dentists and Patients to Prevent the Transmission of Viruses and Bacteria from Patients to Dentists", application to Indonesian Patent Office, Indonesian Ministry of Law and Human Rights; Filled 2022.

Talks

1. "From Data to Design Insight: Leveraging Explainable Machine Learning in Aerospace Design Optimization." Airbus Dipart Conference, Bristol, UK, February 2024

2. "Statistical Learning for Explainability: Applications to Engineering Design." University of Exeter, Exeter, UK, February 2024

3. "Unlocking Design Insights: Explainable Machine Learning in Engineering Optimization." Hong Kong University of Science and Technology, Hong Kong, October 2023

4. “Making Sense of Surrogate Model: Emphasizing Explainability in Engineering Design Optimization.” ISAE-SUPAERO, Toulouse, France, June 2023

5. "Machine Learning Approaches for Engineering Design Optimization and Analysis." Indonesian National Research and Innovation Agency, Bogor, Indonesia, November 2022.

6. "Machine Learning Approaches for Engineering Design Optimization: the Importance of Smart Data." The 9Th International Seminar on Aerospace Science and Technology, Jakarta, Indonesia, November 2022.

7. "How to Accelerate Engineering Design Optimization: a Machine Learning Perspective." ITB Faculty of Aerospace and Mechanical Engineering Webinar, Online, October 2022.

8. "Introduction to Sensitivity Analysis, with Applications to Design Optimization and Uncertainty Analysis" Indonesian National Research and Innovation Agency, Jakarta, Indonesia June 2022.

9. "Short Introduction to Numerical Design Optimization. " Indonesian National Research and Innovation Agency, Bandung, Indonesia, June 2022.

10. "Machine Learning Approach for Supersonic Transport Design and Optimization". London to Sydney in 5 Hours: The Future of Aviation Conference, London, September 2021.

11. "Computationally Expensive Optimization: A Surrogate Model-informed Design and Analysis Approach". IEEE Computational Intelligence Society Australian Capital Territory Chapter, Online, August 2021.

12. "Machine Learning for Aerospace Design and Optimization: The Key Issues". HKUST - ITB Joint Mini-Seminar on Machine Learning for Aerospace Design and Optimization", Bandung Institute of Technology, Bandung Indonesia, May 2019.

13. "Tohoku-Bandung Institute of Technology joint research: toward efficient aerodynamic design optimization." Tohoku-Bandung Institute of Technology Joint Workshop on Fluid Science and Engineering, Bandung Institute of Technology, Bandung, Indonesia, October 2017.

14. "Enhancing efficient global optimization: Universal Kriging and optimization in sufficient dimension." Leiden Institute of Advanced Computer Science, Leiden University, Leiden, Netherlands, March 2017.

15. "Uncertainty quantification in computational fluid dynamics." Focus Group Discussion on Computational Fluid Dynamics, National Institute of Aeronautics and Space of Indonesia, Bogor, Indonesia, October 2015.

16. "Elements of modern evolutionary airfoil optimization + robust optimization." Focus Group Discussion on Computational Fluid Dynamics, National Institute of Aeronautics and Space of Indonesia, Bogor, Indonesia, August 2013.