Akshat Mehta

Struggling to Choose a Research Topic for Your Thesis?

Selecting the right research topic is one of the most critical and challenging steps in any MSc or PhD journey. A poorly chosen topic can lead to execution difficulties, lack of datasets, unclear objectives, and delays especially within a tight academic timeline.

I can help you identify, refine, and validate a research idea that is feasible, impactful, and well-supported by available datasets, ensuring a smooth and successful research journey.

Why Is Topic Selection Critical?

During my MSc in Artificial Intelligence & Machine Learning at Liverpool John Moores University (LJMU), and through my continued academic mentoring, I have closely worked with 90+ MSc and Msc/PhD students from LJMU, the University of Concordia, and Hofstra University, helping them finalise and refine research topics.

Many students initially struggle due to:

1. A lack of a structured approach to narrowing down research ideas
2. Choosing topics without verifying dataset availability
3. Overly ambitious scopes that are impractical within a 6-month MSc timeline
4. Difficulty aligning academic research with current industry and research trends
5. Unclear research objectives leading to weak problem statements

These challenges often result in stalled progress, repeated topic changes, or incomplete theses.

How I Can Help You

With hands-on experience in supervising and mentoring postgraduate research, I provide personalised, one-to-one guidance in:

1. Selecting a strong research topic that balances novelty, feasibility, and academic relevance
2. Assessing dataset availability, including identifying reliable public datasets or practical alternatives
3. Validating research scope to ensure it is achievable within your academic timeline
4. Aligning your research with industry and research trends to enhance real-world impact
5. Breaking down research objectives into clear, manageable milestones

This structured approach ensures that your topic is not only approved by supervisors but also executable in practice.

Who Is This For?

1. MSc students in Artificial Intelligence, Machine Learning, or Data Science struggling to finalise a thesis topic
2. PhD candidates who need help refining or narrowing their research focus
3. Professionals or researchers interested in academic research but unsure where to start.

Why Choose Me?

Having navigated the full AI/ML research lifecycle myself and mentored students across multiple international universities, I understand both academic expectations and practical research constraints.

My guidance focuses on making your research clear, defensible, dataset-driven, and submission-ready.

Thanks!