How to Start Research in Computer Science & AI in 2025 – A Modernized Framework

Over a decade ago, I wrote two articles: "A Beginner’s Guide to Computer Science Research" and "How to Start a Research Work in Computer Science: A Framework for Beginners" - that have been used at several universities around the world for the same purpose. These articles aimed to help students and early-career researchers navigate the complexities of academic research in computer science. However, since 2014, the research landscape has changed dramatically with the rise of AI, automation, and powerful collaborative tools.

Now, in 2025, starting research in computer science and AI is more accessible than ever. With AI-powered research assistants, open-access repositories, and real-time collaborative platforms, researchers can work more efficiently and focus on innovation.

I recently published an updated guide in The Times of India, presenting a modern “Eight-Step Approach to Research” framework that integrates the latest methodologies and tools for AI and CS research. This framework is designed to help students and researchers independently explore their chosen topics while leveraging cutting-edge technology.

If you’re curious about how to streamline your research workflow, enhance your literature review process, and effectively collaborate in the AI research space, check out the article here:

🔗 How to Start a Research Work in Computer Science and AI in 2025 – An Updated Framework

Block Diagram of “Eight-Step Approach to Research” in 2025

Would love to hear thoughts from the ML research community—what tools and techniques do you use to make research more efficient in 2025? Let’s discuss! 🚀