Using vibrations, sensors and data science to keep metro systems moving safely.
What’s your research about, in a sentence?
Sudeekshna is building a train-based monitoring system that uses vibration signals to detect rail defects, turning every train ride into a smart inspection tool for safer, more efficient metro infrastructure. “If tracks could talk, I’m learning how to listen.”
What inspired this research?
Rail engineering captured Sudeekshna’s interest during her MSc studies at TUM Asia and deepened during an internship and thesis on the same topic. Her fascination with transportation systems and drive to improve infrastructure through innovation made a PhD in this area the natural next step.
Real-world impact
Urban rail faces mounting pressure: run safely, run often, and don’t break the bank. Sudeekshna’s predictive maintenance framework helps metro operators identify hidden faults early, avoiding breakdowns, minimising downtime, and making better, data-driven decisions.
What’s next after the PhD?
Aiming to become a professor, Sudeekshna sees teaching not just as instruction but as a shared learning journey. She hopes to create classrooms that inspire, innovate, and connect disciplines to real-world impact.
Sudee graduated from TUM’s Master of Science in Rail, Transport and Logistics. Learn more about him here.
"If tracks could talk, I'm learning how to listen”
Most enjoyed about Singapore:
- The duality of calm and chaos. Whether walking the Rail Corridor or navigating the city centre, Sudeekshna finds inspiration everywhere.
Unwinding rituals:
- Cycling, hiking, swimming, gym sessions and cooking elaborate vegetarian meals to recharge mind and body.
Favourite reads:
- “The Alchemist” – for trusting the journey and” Who Moved My Cheese?” – for adapting to change.
Fun fact:
- Sudeekshna once recreated a 20-dish restaurant meal at home during COVID just to satisfy a craving and test her culinary limits.