Papers

4

Total Citations

16

H-Index

3

About

Anik Tahabilder is a researcher whose work spans natural language processing (NLP) and swarm robotics, with a particular focus on advancing computational resources for the Bangla language. His major contributions include the development of **BnVec**, a pioneering word embedding model for Bangla language processing (6 citations), and **BanglaLM**, a data-mined corpus designed to support language model research for Bangla (5 and 2 citations across two related papers). These projects address a critical gap in NLP resources for low-resource languages, enabling more accurate machine understanding and analysis of Bangla text. In addition to his NLP work, Tahabilder has contributed to robotics through the in-house construction of **Kilobots**—small, 33-mm-diameter robots used for shape formation and swarm robotics simulations (3 citations). His work demonstrates a unique interdisciplinary range, from building physical robotic systems to creating foundational linguistic datasets. By tackling both hardware and software challenges, Tahabilder has made notable strides in expanding the tools available for Bangla NLP and scalable robotics research, offering valuable resources for students and researchers working in these fields.

Research Focus

Key Achievements

3
H-Index
4
Papers
16
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
BnVec: Towards the Development of Word Embedding for Bangla Language Processing
6 citations · 2021
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Western Carolina University, Stevens Institute of Technology

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago