Navigating Imperfect Spaces in Research

“Research Spotlights in Computing” is a technical blog series by ACM-W Europe Team Member Ayesha Afzal, highlighting contemporary work across computing research, with a focus on systems, tools, methods, and ideas developed by women in the field. The first blog anchored the series by introducing a systems lens that parallels human and computational architectures. This second blog focuses on student-facing guidance, exploring how to navigate within imperfect environments. From the next blog onward, the series will present case studies of technical innovations and research contributions led by women role models.

In this blog, Ayesha explores the often unseen journey of becoming a researcher, and how curiosity, resilience, and supportive communities help students grow within imperfect environments.

The Quiet Doubt Many Students Carry

There is a moment many students experience quietly during research. It usually comes after something small:

a difficult meeting,

a rejected paper,

an unanswered email,

a failed experiment,

or a conference where everyone else seems impossibly confident.

You begin wondering:

“Maybe I don’t belong in this environment.”

Research can feel intimidating for this reason. From the outside, we mostly see polished versions of people:

  • publications,
  • presentations,
  • awards,
  • achievements,
  • technical expertise.

We rarely see:

  • confusion,
  • imposter syndrome,
  • burnout,
  • rejected papers,
  • abandoned ideas,
  • or the years people spend slowly becoming comfortable with uncertainty.

But over time, many researchers discover something important:

Most people in academia are learning while feeling uncertain. Some are simply better at hiding it.

And perhaps students need to hear that more often.

Growing Inside Imperfect Environments

When people talk about diversity and inclusion in computing, the conversation usually focuses on institutions: representation numbers, policies, leadership, conference panels, or hiring initiatives.
Those conversations matter. Systems shape opportunities. But students entering these spaces today are often dealing with something much more immediate:

How do you continue growing inside environments that are still imperfect?

Not every classroom will immediately feel welcoming.

Not every mentor will understand your perspective immediately.

Not every research space will immediately make you feel like you belong.

And yet, every year, students from different backgrounds continue entering HPC, AI, and computing and many of them build meaningful careers, not because the environment was perfect, but because they learned how to grow without letting the imperfections define their potential.
Students also underestimate how much the environment shapes growth. Prestige matters less than many people think. A healthy environment is not one where everything is easy. Research should challenge you intellectually. But there is a difference between challenge and intimidation.

The Growth Nobody Sees

One of the hardest parts of research is that growth is often invisible. A paper can take months before producing a result. An experiment can fail repeatedly before teaching something useful. Sometimes you spend weeks feeling stuck, only to realize later that you were learning how to think more deeply all along.

Academic culture does not always acknowledge this invisible progress. It rewards visible outcomes:

  • publications,
  • grades,
  • internships,
  • awards,
  • citations.

But some of the most important growth during research never appears on a CV.

Learning how to:

  • stay curious after failure,
  • ask questions without fear,
  • rebuild confidence,
  • accept criticism without collapsing,
  • and continue despite uncertainty; these are also research skills.

In many ways, research trains not only technical ability, but emotional endurance.

At some point, many students realize they are learning two things at once:

  • how to become better researchers, and
  • how to become more resilient people.

The Trap of Comparison

Comparison makes this journey even harder. Academia quietly creates the illusion that everyone else is moving faster.

Someone publishes earlier.

Someone speaks more confidently.

Someone already seems accomplished.

Someone else appears to understand everything instantly.

Eventually, many students begin measuring their worth against the visible progress of others. But research is not a race with a universal timeline. People grow under different circumstances:

different financial realities,

different support systems,

different responsibilities,

different levels of confidence,

and different opportunities.

Moving slower does not mean you are failing.

Changing direction does not mean you are lost.

Taking time to learn deeply is not a weakness.

You are not behind just because your journey looks different from someone else’s.

Nobody Really Feels Fully Ready

Another difficult truth about research is that nobody really feels fully ready. Many students think they need complete confidence before contributing ideas, asking questions, or entering advanced spaces like computing. But confidence usually comes after participation, not before it.

Most researchers are figuring things out continuously. That does not stop at the student level. Even experienced academics:

  • revisit fundamentals,
  • struggle with uncertainty,
  • receive criticism,
  • and encounter problems they cannot immediately solve.

The difference is that, over time, they become more comfortable not knowing everything. And that comfort matters.

Because research is not built on already having all the answers.

It is built on staying curious long enough to keep searching for them.

You Are More Than Your Output

There is also a quiet pressure in academia to build identity entirely around achievement. Productivity becomes self-worth.

A successful paper feels like validation.

A rejection can feel personal.

Rest can begin to feel undeserved.

Over time, students can lose parts of themselves outside research. But sustainable careers are rarely built by people who work endlessly without pause. They are built by people who learn how to remain curious without burning out completely. You are still a person outside your output. Your value is larger than:

  • publications,
  • grades,
  • internships,
  • or academic recognition.

And strangely enough, people often produce their best work when they stop treating themselves like machines.

You Do Not Need to Change the World Overnight

Perhaps the most important thing students should understand is this:

You do not need to change the world immediately to belong in research.

Modern academic culture sometimes makes students feel they must become exceptional overnight:

publish quickly,

build groundbreaking ideas immediately,

or constantly prove impact.

But meaningful work usually develops slowly. Most researchers do not begin with revolutionary ideas.

They begin with curiosity.

With persistence.

With learning.

With showing up repeatedly even when progress feels invisible.

Small growth compounds over time. And often, the students who succeed are not the ones who always felt the most confident; they are the ones who continued despite uncertainty.

Looking Forward

HPC, AI, sustainability and computing will shape the future of science and society. The students entering these fields today are not only future researchers or engineers. They are future mentors, collaborators, educators, and community-builders.

The culture of these spaces will partly be shaped by the people entering them now:

by the way they support others,

share knowledge,

encourage curiosity,

and make room for people who may also feel uncertain.

Because ultimately, research is not only about intelligence. It is also about humanity. And maybe that is what students need to remember when navigating imperfect spaces:

You do not need to become someone else to belong here. You only need enough courage to keep learning, growing, and showing up, even when the environment is still learning how to make space for everyone.

About Author

Ayesha Afzal

Ayesha Afzal

Ayesha Afzal is a researcher at the Erlangen National High Performance Computing Center (NHR@FAU), Germany. She holds a PhD in Computer Science, an MSc in Computational Engineering, and a BSc in Electrical Engineering. Her PhD, “A Holistic White-Box Approach to Performance Modeling for Supercomputing,” focuses on analytic performance models, performance tools, and parallel simulation frameworks in HPC. She is involved in HPC initiatives including KONWHIR (LRZ), DFG MOD4COMP (TU Dresden and Jülich), and the NHR EEC (NHR centers). Within the IEEE Computer Society, she serves as Vice Chair of both the Germany Section Chapter and Region 8 Area 2, and Secretary of IEEE TCHPC. She founded the NHR Women in HPC chapter and organizes workshops at international conferences (SC, ISC, ACM HPDC, and SCA/HPCAsia). She is a member of professional societies (ACM, IEEE, SIAM, and PRACE), and contributes as chair, vice chair, PC member, Journal reviewer, panelist, and speaker. She has authored numerous peer-reviewed publications, and her work has been recognized through distinctions: ISC PhD Forum Award (1st place, 2021), IEEE TPDS Best Paper Runner-up Award (2023), SC PMBS Best Short Paper Award (2023), SC Best Research Poster Finalist (2024), ISC Best Research Poster Award (1st place, 2025) and PhD with highest distinction (summa cum laude). She was listed among the Top 100 Future Leaders Role Model List (2022–2025) supported by Yahoo Finance and YouTube, and received WeAreTheCity’s Global Award for Achievement (2023).