Signals and Systems was that bridge I couldn't cross—all that Laplace and Fourier trying to bottle the chaos of the world into neat equations. For me, it felt less like engineering and more like an accountant trying to balance a ledger for the monsoon rain. That’s why I moved to computer science, where the logic sits still. But I see its importance now, watching my nephew’s phone clear his voice on a call from the Gulf; it’s that same theory, filtering out the static. My own life is a signal full of noise—the loan EMI, the crows at dawn—and no transform can separate them.

It would be like optimising a flawed balance sheet—the practical labs and solar cell fabrication get all the capital investment and attention. But the real work is in the theoretical models, the heat transfer equations you solve before dawn with your tea. My own research is only on paper; I've never held a photovoltaic cell. So for me, the programme is about the quiet precision of numbers predicting sunlight, not the noisy workshop building something to catch it.

Even FDA approval doesn’t mean our CDSCO will clear it—our clinical trial requirements and patent laws are different paths altogether. From my desk, I see dossiers for years, waiting. What I know comes from reconciling columns for our own applications: the cost of bridging studies alone can make a company decide it’s not worth the Indian market. So you cannot just get it; the system is a longer ledger. I think of my sister’s wedding loan, how some sums never quite balance for our family, either.