I will never forget my research publication journey, where my first acceptance came after six or seven rejections. The most memorable moment for me was receiving eight pages of review comments for a six-page paper with constructive thoughts, yet filled with recognition of potential. That phase changed the way I think when it comes to… Continue reading Via Rejections
It’s been seventeen years since I started teaching, and if there’s one course that has completely stolen my heart, it’s Algorithmic Problem Solving, an elective I designed and have been obsessing over for seven years now. As the name suggests, it has been all about algorithms. The best part? No two years have been the… Continue reading Algorithmic Problem Solving for 2025
Have you ever felt frustrated with the answers provided by GenAI tools? You refine your prompts, yet the responses still miss the mark. You explicitly say, “Donβt do βx,β” but it does it anyway. You try different variations, but the outcome remains unsatisfactory. There was a time when these tools seemed to remember previous interactions… Continue reading The Good and Not
There is something with the code that needs to be understood and the current equation is damn confusing. While GenAI can code and debug, I wonder what is that skill which humans would need. While there was a discussion about “Devin AI”, the AI software engineer, It still is, but not in positive light anymore.… Continue reading Code, Where are you?
Over the period of time, we have built professional networking sites. Why? All of this, leading to collaborations and networking. We have been of course doing this on LinkedIn. But not the way it was intended to be. It has become like a high school popularity contest and everything of teenage drama. While some post… Continue reading Professional Networking
We are talking about one, of the many. Certainly. At first, we savor the benefits. Then, the consequences follow. This has been a global pattern. When the consequences are severe, the positives often lose their significance. Sometimes, what seems beneficial initially turns out to be a shortcut with long-term disadvantages. While students think they are… Continue reading GenAI β Side Effects
It has took me years to truly understand this. What this translates to isOne-fourth of knowledge is gained from the teacher (acharya). One-fourth is gained through self-study and understanding (swamedhaya). One-fourth is acquired from peers (saha-brahmacharibhyah). One-fourth is learned over time (kala-krameαΉa). If we are not collaborating, peer learning, we are always missing out on… Continue reading The Way of Learning
Usually, when I meet a researcher, and if the discussion tends towards the research work, I usually prefer to ask the question, βwhat conceptual frameworkβ have you used?β I get puzzled, if they are puzzled. Though we are allowed to innovate and have intuitions in research, we do need the guiding theories and principles. A… Continue reading Conceptual Frameworks
A few months ago, I thanked myself for not being an AI/ML researcher. The sheer amount of garbage data piling up in the domain is beyond excessive. The process has been made too simple: take a dataset, apply four or five algorithms, plot accuracy graphs, and call it a paper. The codes for these steps… Continue reading Research and Retractions
I started writing research papers because academics mandated it. My start was not an easy road. There were several numerous rejections before the first acceptance email came by. My first very paper was to a A* conference (www). For a 6 page paper I had sent, I had received an 8 page feedback. I had… Continue reading Research and Citations
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