Materials science · Microfluidics · Thermal engineering
PhD materials scientist and R&D lead with more than 11 years in India, Singapore, Luxembourg and Belgium. I design, simulate and build devices where fluids, heat and materials meet: liquid cooling for high-power chips and electronics, lab-on-chip platforms, and automated labs that discover better materials faster.
Direct-to-chip and microfluidic liquid cooling for 2.5D/3D chip packages, batteries, LEDs and solar cells. Conjugate heat transfer and porous-media (LTNE) models in Ansys Fluent and COMSOL, steady-state and transient.
Automated Python, PyAnsys and PyFluent pipelines on HPC clusters: thousands of runs, parameter sweeps and trade-off analysis turned into clear design recommendations.
Design, modelling, microfabrication and validation of droplet and continuous-flow devices, including porous-media and chromatography models and image-based measurement of separation and phase fraction.
Models calibrated against thermocouple, IR thermography and flow measurements, with over 95% model-to-experiment agreement and more than 50% fewer prototype iterations.
Closed-loop platforms linking synthesis, robotics and characterisation, guided by Bayesian optimisation and active learning, screening 2–5 times faster.
Design of experiments, FMEA, statistical process control, reliability and thermal-cycling tests, and traceable calibration.
Semiconductor research, Leuven, Belgium
Luxembourg
University of Luxembourg
Luxembourg Institute of Science and Technology (LIST)
Nanyang Technological University, Singapore
Nanyang Technological University, Singapore
Nanyang Technological University, Singapore
University of Pune, India
| Years | Project | Role and result |
|---|---|---|
| 2017–2023 | AI-driven combinatorial flow chemistry for accelerated materials development (NTU–A*STAR, S$3.78M programme) | Designed the data infrastructure; 3× faster discovery workflows, 2× yield for 3D-printed motor materials |
| 2022–2023 | AI-based discovery of TiAl aerospace alloys ($1M) | Co-lead; 2–5× faster screening across 6+ parameters |
| 2017–2020 | Digital-twin-driven green cooling systems ($750k) | Lead; 18 cooling devices, 300% performance gain, 5+ industry partners |
| 2021–2022 | Smart magnetic-fluid grippers for soft robotics ($500k) | Lead; 3 gripper technologies in 6 months |
| 2013–2017 | Magnetic Janus particles by droplet microfluidics (with SIMTech-A*STAR, $1M) | Platform developer; 95% particle uniformity |
| 2010–2012 | Nano-aluminium synthesis for defence applications | Process lead; 1000-fold cost reduction |
Nanyang Technological University, Singapore · Microfluidics, fluid physics, magnetic materials, heat and mass transfer · NTU research scholarship (S$184,000)
University of Pune, India
B. P. College, SRTM University, India
MIT Applied AI & Data Science · AI Foundations: Machine Learning (2021) · Six Sigma Yellow Belt (2021) · GMP awareness
36 conference presentations in total, including 14 invited talks.
35 publications and one provisional patent, newest first. Each PDF link opens the full text.
Languages: English and Hindi. For materials, device or engineering projects, contact M3TRL Consulting. For research and speaking, message me on LinkedIn.