Manoj Patlu Nagabhushana

My thesis lives at the intersection of experiment and simulation - and that is exactly where I like to be. I am investigating how SnSb10 solder behaves under thermal cycling in MEMS microphone packages, with a specific focus on how gold contamination from lids and PCB surfaces changes the creep and deformation behaviour of the alloy. It is a niche problem, but the implications for packaging reliability are significant. Day to day, I prepare test specimens, run warpage measurements using White Light Inte

Before the thesis, I spent a year getting familiar with the lab and the workflow. I ran DMA and TMA experiments on PCB and adhesive materials, built FEM models in ANSYS to match characterisation setups, and developed material parameter calibration pipelines in ANSYS Optislang. The goal was always the same - making sure the numbers coming out of simulation reflect what actually happens in the material. This is also where I learned that good simulation starts with good experimental data, and that the two

This was my first real taste of working inside a semiconductor company, and it changed how I think about engineering. I was characterising hyperelastic adhesive materials - running experiments, building geometry-representative FEM models in ANSYS, and validating simulation outputs against test results. What struck me was how much care goes into getting the material model right before any structural analysis even begins. I came in thinking simulation was the hard part. I left knowing that understanding the

My first job out of university, and I was part of the team running structural FEA for GM's EV battery programs - BEV3 for electric cars, BET for electric trucks, and Wabtec for locomotives. Three very different vehicles, all with their own structural challenges, all running in parallel. I used Abaqus and Hyperworks daily, built FEA models from scratch, post-processed results, and wrote reports that fed directly into design decisions. I also built meshing automation tools in TCL/TK and SIMLAB that the team

Pursuing Masters in Electromobility with 2 majors AI & Autonomous driving and Sustainable Mobility and Production Technology. A programme that sits at the crossroads of mechanical engineering, software, and intelligent systems. I studied machine learning, autonomous systems, data science, pattern r

A broad and hands-on mechanical engineering foundation covering FEM, mechanics of materials, thermodynamics, heat transfer, fluid mechanics, CAD/CAM, machine design, mechatronics, manufacturing, and material science. Capped with a thesis on gearbox design and fabrication for an ATV. Also part of th