Presenting Research Isn’t Easy—Here’s What I Did Wrong

Yesterday, I presented our paper in a seminar, which went terribly. It wasted my colleagues’ time and failed to communicate the essence of our work. I felt frustrated about the wasted opportunity to present our work well and sorry for those who attended. I wanted to reflect on what went wrong and how I could improve.

So, what went wrong with my presentation? I see at least three main issues. First, even though I knew the paper well, I didn’t have enough time to refresh all the details before the seminar. Second, due to my partial involvement, I was not an expert on every aspect of the paper—only certain parts—yet I felt obligated to present all sections equally. Finally, and most importantly, I failed to think through what I wanted to communicate to the audience.

As a result, I started the seminar and quickly became frustrated with my own presentation. I felt unprepared, which led to a mental fog, increased anxiety, and a spiral of self-doubt. Under stress, I struggled to articulate the motivation behind our work, let alone explain the paper’s contributions clearly. Ultimately, I couldn’t even present the material I had prepared.

This post is my reflection on what went wrong and, more importantly, how I can improve for future presentations.

Lack of Thorough Preparation

Regarding the first point – thorough preparation. I know I struggle with unprepared speech. In general, I express myself much better in writing or when I am thoroughly prepared, which helps me manage the stress of social anxiety. That’s why I need enough time to organize my thoughts and ensure I am well-prepared before speaking publicly. When I teach, I every year again recompute exercises beforehand to ensure I can answer questions confidently. I make the concepts so clear in my mind that even under stress, I can discuss them effectively. This takes a lot of time.

Similarly, preparing for a seminar requires a significant investment of time. Although I had allocated enough time, I failed to use it effectively due to ad hoc requests—family demands, “unexpected” tasks, and difficulty saying no to last-minute requests from professors and students. None of these are excuses—I should have accounted for these variables. I failed to schedule my preparation well in advance, so the things to which I cannot say no (like my son demanding me in kindergarten for carnival) are not having such a big effect on preparation.

Presenting a collaborative work that I didn’t entirely own

The second issue was presenting work I didn’t do entirely myself. Even with thorough preparation, I won’t know every detail of a collaborative project. There will always be unexpected questions I can’t answer, and that’s okay. However, confidence and preparation are crucial to handling this without panic. The key is to present the parts I do understand effectively. The more multidisciplinary and collaborative research I engage in, the less I can be an expert in every aspect of the work. Retaining details of things I haven’t personally done requires additional effort.

My long-term memory isn’t great—I even forget parts of my own work after some time, let alone the work of others. With increasing responsibilities across multiple disciplines and roles—psychology, neuroscience, AI, robotics, managing people, purchases, teaching, leading student works on various topics, preparing projects, communicating with companies, accepting new PhD students, attracting girls to robotics, preparing study programs,…—the demands on my memory exceed my capacity. Again, refreshing my knowledge well before every single event and paper presentation is simply necessary. I know I need more preparation time than some others to make everything click. Public speaking confidence improves with practice, even for me, but thorough preparation is essential for me to manage it and not get overwhelmed by the stress.

Many professors deliver excellent talks on various topics without doing the whole work—often even better than those who fully understand every detail. How is that possible? First, they are likely smarter and have way better memory than I do. Second, they focus on delivering a clear message, emphasizing key points they understand well, and diving into details where they feel confident.

Failure to define a clear message

This ties closely to the last issue – the importance of crafting a clear message. Instead of just reviewing the paper and describing the experiments, I should have asked: What makes this seminar worth attending? What should attendees learn? A deep dive into a specific algorithm? Gain insights into method comparisons? A better grasp of experimental design? What are the best practices for collecting a strong evaluation dataset?

A good seminar leaves the audience with at least one meaningful insight. I should have identified a single key takeaway and explored it deeply instead of covering everything superficially. I must underline the main message and go in-depth on the parts I understand well. I have to accept that I will never understand everything, but I should still be able to explain at least something really well—and unfortunately, that was not the case in this seminar. Next time, I need to carefully evaluate what I know and don’t know in advance and focus deeply on the aspects where I can provide real value.

Learning to say no

I’m not a science rock star who can give an amazing talk with minimal preparation. I know this, and that knowledge increased my stress before the presentation even began—especially when I knew I hadn’t prepared as I would have wished to and I saw an unexpectedly large audience.

I also felt a strong sense of responsibility—especially in my new role as a group leader, where I set the standard for quality. If I announce a seminar, I need to deliver a talk that is at least worth attending. While perfection isn’t necessary, the seminar must provide value—just as teaching must be worthwhile for students. But how do you make good decisions in an endless flow of tasks and responsibilities where time estimation is crucial but really difficult? One key lesson: I must learn to say NO more often. If I say YES to something, I need to ensure I dedicate the necessary time and effort to do it well. Otherwise, I’ll feel overly stressed and fail to deliver value to others.

Final thoughts

Despite the poor presentation, I received valuable feedback on dataset improvements and feature selection. I’m grateful for this—thank you to everyone who contributed.

To those who attended and questioned why they came—I can’t promise my next seminar will be perfect, but I will strive to do better.

3 months as a group leader – Researcher’s diary #1

It has been three months since I became the head of the Robotics Perception Group (ROP) at CIIRC CTU. In this post, I want to share the challenges I’ve encountered after starting to lead the group and the initiatives I’ve introduced.

Our group

The group consists of 11 researchers, 5 PhD students, 2 technicians/programmers, 1 project manager and 1 admin. We are engaged in various industrial and research projects, focusing on merging classical perception techniques (especially vision) and knowledge representation with deep learning. Our interests include integrating data from multiple modalities to develop robust perception and task understanding for human-robot interaction, as well as industrial applications like welding and automotive perception.

Taking on the leadership of this group has been a significant challenge, and I aim to harness its potential carefully. The team is exceptionally diverse, with members ranging from psychologists and neurobiologists to physicists, mathematicians, and engineers. They span the spectrum from rigorous theoreticians to application-focused researchers. This diversity, cultivated by Prof. Hlaváč, the group’s founder and former head, offers immense potential for interdisciplinary collaboration. However, it also presents communication challenges. Bridging the different “languages” and approaches within the team is not always straightforward, but I appreciate the richness this diversity brings and effort everyone is willing to put to the group.

In these first three months, I’ve identified several challenges, most of them revolving around finding the right balance.

Finding a right balance – the biggest challenge I’ve encountered

  1. Infrastructure vs. Research Freedom
    Balancing the need to build infrastructure (e.g., website, GitLab, Wiki, seminars) to facilitate collaboration and sharing with providing enough space for research is tricky. While infrastructure is vital for leveraging our group’s diversity, maintaining it consumes time that could be spent on research, which is our primary output.
  2. Industrial Applications vs. Publishing
    Encouraging researchers focused on industrial applications to publish their work is particularly challenging. These projects often demand full attention, and publications are not required. There doesn’t exist a quick fix solution but it rather needs long time effort. I am exploring ways to motivate and support this process more effectively. To address this, I plan to enforce publication commitments as part of industrial project submissions wherever possible. This should improve a balance between application-focused work and academic dissemination.
  3. Personal Vision vs. Research Diversity
    I strive to push forward my vision while preserving the group’s diversity. A cohesive vision is essential, but I believe large collaborative projects aligned with my vision can unify us. To this end, I’ve been dedicating significant effort to writing new proposals, including an EU proposal, GACR Junior STAR, and possibly in the close future an ERC Starting Grant.
  4. Managing vs. Researching
    Balancing management responsibilities with my own research remains the most challenging aspect of my role. While I engage weekly with bachelor’s, master’s, and PhD students on research topics, I deeply miss the uninterrupted focus on my own projects. As someone who has a limited capacity for social interaction and struggles to focus amidst the presence of others and the distractions of small tasks, constant engagement can be exhausting. Working from home a few days a week has helped to improve this balance. However, it still doesn’t feel entirely right. I know I need to put in more effort to refine this equilibrium and find a way to truly enjoy both research and leadership as the head of the group.

Initiatives introduced

We have introduced several initiatives to improve the group’s functioning:

  • A weekly newsletter summarizes past events and upcoming activities, keeping everyone, especially PhD students, informed.
  • Regular group board meetings to discuss topics such as finances, teaching, social activities, dissemination, publications, and collaborations.
  • Starting in January, we’ll hold a regular machine learning study group, an idea we’ve long discussed and are now implementing.
  • I encourage team members to focus on their research careers, improve their CVs, and refine their research topics. I discuss the state of their research, suggest areas for improvement, and share insights from my own approach. Whether this effort succeeds will take time to evaluate.
  • We are collectively enhancing our infrastructure, such as improving the group’s website, creating a Wiki for sharing information, or starting to use LinkedIn to showcase results.

Final remarks

Despite these challenges, I deeply enjoy the responsibility and diversity this position brings. My hope is that everyone in our group feels valued and empowered to become the best version of themselves as researchers.