+</p><figure id="1c17a122-62b6-8000-89f5-e9c563c682c4" class="link-to-page"><a href="https://www.notion.so/PORTFOLIO-1c17a12262b6800089f5e9c563c682c4?pvs=21"><span class="icon">🦼</span>PORTFOLIO</a></figure><h2 id="1c17a122-62b6-8184-b78e-c8d2fbe70fdb" class="block-color-yellow">📚 RESEARCH </h2><hr id="1c17a122-62b6-80f2-82c3-c3ce2292645a"/><h3 id="1c17a122-62b6-80cc-a5f1-eb51675446bd" class="">Journal</h3><ul id="1c17a122-62b6-8032-97c5-c9b52556b903" class="bulleted-list"><li style="list-style-type:disc"><strong>Prashant Kumar</strong>, Rajesh Ranjan, A Robust Data-Free Physics-Informed Neural Network for Compressible Flows with Shocks,<strong> under-review in </strong><mark class="highlight-blue"><strong>Computer and Fluids</strong></mark><mark class="highlight-blue">,</mark> February, 2025.</li></ul><h3 id="1c17a122-62b6-8059-a594-fc0d006cd997" class="">Conferences</h3><ul id="1f07a122-62b6-80bf-8b3e-f50e48ae42bc" class="bulleted-list"><li style="list-style-type:disc">Prashant Kumar, Muskan Tongaria, Rajesh Ranjan,<em> A Data-Efficient DDS-PINN Framework for Multiscale Problems</em>, <mark class="highlight-red"><strong>submitted to NeurIPS 2025</strong></mark>.</li></ul><ul id="1c17a122-62b6-800a-b0cd-ce20f9c48135" class="bulleted-list"><li style="list-style-type:disc"><strong>Prashant Kumar</strong>, Rajesh Ranjan, <a href="https://scholar.google.com/citations?view_op=view_citation&hl=en&user=uRdO3V8AAAAJ&citation_for_view=uRdO3V8AAAAJ:2osOgNQ5qMEC">Flow Predictions behind NACA 2412 Aerofoil Using Physics-Informed Machine Learning</a> Accepted in International Conference on Computational Fluid Dynamics (ICCFD12), Kobe, JAPAN 2024</li></ul><ul id="1c17a122-62b6-80ea-8b6d-c9cd7176b30f" class="bulleted-list"><li style="list-style-type:disc"><strong>Prashant Kumar</strong>, Rajesh Ranjan, <a href="https://scholar.google.com/citations?view_op=view_citation&hl=en&user=uRdO3V8AAAAJ&citation_for_view=uRdO3V8AAAAJ:9yKSN-GCB0IC">Evaluation of Physics-informed Machine Learning Approach<br/>for Computation of Fluid Flows<br/></a>. Presented in 10th International and 50th National Conference on Fluid Mechanics and Fluid Power (FMFP), 2023</li></ul><ul id="1c17a122-62b6-80fd-954f-eacf6aa0fe7e" class="bulleted-list"><li style="list-style-type:disc"><strong>Prashant Kumar</strong>, Saurabh Singh Chauhan, Prasenjit Dey, <strong><a href="https://link.springer.com/chapter/10.1007/978-981-99-5990-7_64">Effect of Corner Curvature of Square Cylinder on Flow Transition and Heat Transfer</a></strong><strong>,</strong> 1st International Conference on Fluid Thermal and Energy Systems (ICFTES2022)</li></ul><h3 id="1c17a122-62b6-802f-a869-e419cd554f09" class="">Posters</h3><ul id="1f07a122-62b6-808d-a6c0-cbcf4040e031" class="bulleted-list"><li style="list-style-type:disc">Prashant Kumar, Muskan Tongaria, Rajesh Ranjan, Improving Turbulent Flow Datasets Using Residual-Based Attention PINN (RBA-PINN), <mark class="highlight-red"><strong>accepted at MSML, Naples, Italy, August 2025.</strong></mark></li></ul><ul id="1f07a122-62b6-8068-8ecf-e61c10a059cc" class="bulleted-list"><li style="list-style-type:disc">Prashant Kumar, Rajesh Ranjan, Trading Data for Physics: The Promise of Data-Free ML in High-Speed Flow Modelling, <mark class="highlight-default">presented</mark><mark class="highlight-blue"><strong> at HPC Symposium, IIT Kanpur</strong></mark>, April 2025.</li></ul><ul id="1c17a122-62b6-8073-b760-dc826e0d4923" class="bulleted-list"><li style="list-style-type:disc"><strong>Prashant Kumar</strong>, Rajesh Ranjan, Prediction of Shocks using a Consistent PINN-based Approach, at <mark class="highlight-blue"><strong>EMS-TAG-SciML-25, POLIMI, Italy</strong></mark> in March 2025.</li></ul><ul id="1c17a122-62b6-8049-b539-e2c7d1b85339" class="bulleted-list"><li style="list-style-type:disc"><strong>Prashant Kumar</strong>, Rajesh Ranjan, Prediction of Shocks using a Consistent PINN-based Approach, at <mark class="highlight-blue"><strong>PMRF Symposium, IITH</strong></mark>, in March 2025.</li></ul><h2 id="1c17a122-62b6-8183-b683-e10ec8a76559" class="">📋 Experience</h2><hr id="1c17a122-62b6-81a7-be59-e69407a0bb10"/><h3 id="1c17a122-62b6-8067-ab75-c2cb6e53f958" class="">Teaching Experience</h3><ul id="1c17a122-62b6-80a7-b845-c9eb122127f4" class="bulleted-list"><li style="list-style-type:disc">Tutor: GPU Architectures and Programming (NPTEL-CS37), IIT Kharagpur, Jan-Apr 2025.</li></ul><ul id="1c17a122-62b6-809c-b289-ee8516b70c3d" class="bulleted-list"><li style="list-style-type:disc">Tutor: Computational Fluid Dynamics and Heat Transfer (NPTEL-ME131), IIT Kanpur, July-Nov 2024.</li></ul><ul id="1c17a122-62b6-809b-a377-f3cba316a3b0" class="bulleted-list"><li style="list-style-type:disc">Instructor: Scientific Machine Learning (SciML - Webinar), NIT Goa, Feb - Apr, 2024.</li></ul><ul id="1c17a122-62b6-80c3-9218-ebb14fd8ecb9" class="bulleted-list"><li style="list-style-type:disc">TA: AE646: Machine Learning for Fluid Mechanics, IIT Kanpur, Aug - Nov, 2023.</li></ul><h3 id="1c17a122-62b6-80af-bfe9-ebae270c4dab" class="">Professional Experience</h3><ul id="1c17a122-62b6-8028-ab8e-dfe88b116f91" class="bulleted-list"><li style="list-style-type:disc"><strong>Project Assistan</strong>t : Design of Gas Turbine for Energy Storage, <strong>Indian Institute of Technology, Ropar, </strong>Designed a Radial Gas Turbine for High Temperature and Pressure (Numerical CFD Simulation in ANSYS Fluent), Nov - Dec, 2022.</li></ul><ul id="1c17a122-62b6-80b5-b540-dfafafa57d3d" class="bulleted-list"><li style="list-style-type:disc">Graduate Engineer Trainee, <strong>Larsen & Toubro, </strong>Worked in the Plant and Machinery Department on the Construction of the Nuclear Power Plant, Kudankulam, Tamil Nadu, Jul - Oct, 2022.</li></ul><h2 id="1c17a122-62b6-815c-ac85-dc2b0227a1d7" class="">✨ Relevant Courses</h2><hr id="1c17a122-62b6-8081-81de-c443e778493b"/><ul id="1c17a122-62b6-8105-9b1a-c0eceadf7e14" class="bulleted-list"><li style="list-style-type:disc">TURBULENCE (AE621A)</li></ul><ul id="1c17a122-62b6-815e-81aa-e3eaead1860c" class="bulleted-list"><li style="list-style-type:disc">APPLIED COMPUTATIONAL FLUID DYNAMICS (AE661A)</li></ul><ul id="1c17a122-62b6-8129-a709-fc8fb2dc549c" class="bulleted-list"><li style="list-style-type:disc">INSTABILITIES IN FLUID FLOWS (ME698W)</li></ul><ul id="1c17a122-62b6-811f-852c-f66e982f2479" class="bulleted-list"><li style="list-style-type:disc">HIGH PERFORMANCE COMPUTING AND APPLICATIONS (IDC606A)</li></ul><ul id="1c17a122-62b6-81eb-9338-f3afe44640cc" class="bulleted-list"><li style="list-style-type:disc">PARALLEL COMPUTING (CS633)</li></ul><ul id="1c17a122-62b6-80d8-955e-d197dfe1c702" class="bulleted-list"><li style="list-style-type:disc">AERODYNAMICS-II (AE612)</li></ul><p id="1c17a122-62b6-80e1-adc2-e57fd5266830" class="">
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