Ayesha Akter
Computer Science & Engineering graduate (Southeast University). Co-author of the Springer paper on abusive comment detection in Bangla with focus on feminist discourse. Passionate about low-resource NLP, machine learning, and inclusive technology.
📖 low-resource NLP & feminist discourse
My research centres on developing interpretable models for abusive language detection in Bangla, with a strong emphasis on gender‑based harassment. I am actively involved in dataset creation, feature engineering, and community‐aware AI. I also explore multimodal analysis and inclusive computing pedagogies.
📚 Analyzing Abuse Comments in Bangla: Machine Learning Study of Feminism on Social Media
ICACIT 2023, LNNS vol. 958, Springer (pp. 379–396)
Curated 700 Bangla comments; contributed to annotation, SVM experiments, and feminist interpretation. Achieved 84% accuracy.
Undergraduate Research Assistant
Southeast University, Dhaka · NLP & abusive comment detection (feminist lens)
Co‑founder & Tutor · Mathysics Lab
Teaching research methodology, Python, and guiding undergraduate projects with emphasis on women in STEM.
Visiting Tutor (ICT, Mathematics) · Science Academy, Mirpur
Intern · UCEP, Dhaka (digital literacy program)
education
- B.Sc. CSE – Southeast University (2019-24) · CGPA 3.34
- Thesis: Abusive comment analysis (Springer, co-author)
- Honours Physics – Govt. Bangla College (2018– )
- HSC Science – Noubahini College · GPA 4.50
- SSC – Kotchandpur Pilot High School · GPA 5.00
research skills
literary & service
languages & digital competence
Bengali (native) · English (C1 reading, B2 spoken, C1 spoken production)
| 📊 information literacy | advanced (6/6) |
| 🤝 communication & collaboration | advanced (6/6) |
| 🎨 digital content creation | advanced (6/6) |
| 🛡️ safety & problem solving | advanced (6/6) |