cv
Basics
| Name | Anika Tahsin |
| Label | Graduate Research Assistant, Department of CSE at BRAC University |
| anika.tahsin5@g.bracu.ac.bd | |
| Url | https://github.com/Anika-Tahsin-S |
| Summary | Graduate researcher in Computer Science specializing in computer vision, deep learning, and artificial intelligence, with strong academic background and multiple publications. |
Interests
| Research Interests | |
| Computer Vision | |
| Deep Learning | |
| Machine Learning | |
| Artificial Intelligence | |
| Data Science | |
| Image Processing | |
| Cognitive Science | |
| Vision Language Model | |
| Natural Language Processing | |
| Large Language Models | |
| Bioinformatics |
Education
-
2025.06 - Present Dhaka, Bangladesh
-
2020.04 - 2024.05 Dhaka, Bangladesh
Bachelor of Science
BRAC University
Computer Science
- Thesis: Unsupervised Semantic Segmentation for Localization of WetLand Area Fluctuations (Supervisor: Md. Golam Rabiul Alam, PhD)
Work
-
2025.07 - Present Vice President
Computer Vision and Intelligent Systems Research Lab (CVIS Lab), BRAC University
Organized and facilitated hands-on training for undergraduates on ML/DL model development with curated datasets and end-to-end project guidance.
-
2024.08 - Present Research Assistant
BRAC University
Conducting research under Prof. Dr. Md. Golam Rabiul Alam in computer vision, deep learning, and AI. Contributions include segmentation, object detection, AI-driven analysis, and mentoring.
- Presented at ICCIT 2024
- Collaborated on IEEE Access publication
- Mentored junior researchers
-
2024.02 - 2024.04 Student Tutor
BRAC University
Tutored MAT 110: MATH I Differential Calculus and Co-ordinate Geometry students, providing tailored support.
-
2023.02 - 2023.04 Student Tutor
BRAC University
Tutored PHY 111: Principles of Physics I students in physics concepts.
Projects
-
MRI Segmentation with U-Net (MobileNetV2 Encoder)
Lightweight medical image segmentation pipeline with preprocessing, U-Net + MobileNetV2 encoder, BCE+Dice loss, and visualization.
- Medical imaging
- PyTorch
- Dice/IoU evaluation
-
Ship Detection in Aerial Images Using YOLOv10
YOLOv10-based ship detection with curated dataset, DataLoader, and hyperparameter tuning.
- YOLOv10
- Object detection
-
Predicting Wildfires Using Machine Learning Models
Regression and neural network models for wildfire prediction using historical datasets.
- Disaster prevention
- Environmental protection
-
Intended Sarcasm Detection in English
NLP project for sarcasm detection in English text using bias-reduction strategies.
- Sentiment analysis
- NLP
-
SoundTrove: A Musical Instrument Rental Platform
Laravel + MySQL platform for musical instrument rentals with full-stack features.
- Laravel
- Team project
Publications
-
2024.12.01 Q-learning based Automated Message Multicast in Gossip Protocol for Node Confirmation in IOTA Tangle
ICCIT 2024
Accepted at the 27th International Conference on Computer and Information Technology.
-
A Real-Time ETP Outlet Monitoring Framework Leveraging Environmental IoT, Colorimetry, and Learning Theory
IEEE Access
Accepted in IEEE Access.
-
GeoSemantic Flux: Unsupervised Semantic Segmentation for Localization of Wetland Area Fluctuations
IEEE JSTARS
Submitted for journal review.
-
Generative AI Meets Responsible AI and Affective Computing
ICMCEL 2025
Submitted for conference review.
-
Biologically Plausible Learning for NLP Using Spiking Neural Networks
ICMCEL 2025
Submitted for conference review.
-
Wildfire Scale Prediction Using Regression and Neural Network Models
ICMCEL 2025
Submitted for conference review.
-
A Diversiform Brain Tumor Classification Leveraging Hybrid Recursive MRI Enhancement
Biomedical Signal Processing and Control
Submitted for review.
-
A Comprehensive Review on Statistical and AI-Driven Approaches for Time-Series
SN Computer Science
Submitted for review.
-
-
Awards
- 2023.01.01
First Runner Up - NLP Hackathon Bangladesh
NLP Hackathon
Built XLM-RoBERTa and RandomForest models for Named Entity Recognition task.
- 2021.07.01
- 2024.12.01
Best Technical Presentation - ICCIT 2024
ICCIT 2024
Awarded Best Technical Presentation of the Session.
- 2025.02.01
Certificates
| Machine Learning Scientist with Python | ||
| DataCamp | 2024-01-01 |
Skills
| Programming Languages | |
| Python | |
| JavaScript | |
| C# | |
| C++ | |
| HTML | |
| CSS | |
| SQL | |
| Assembly |
| Machine Learning | |
| PyTorch | |
| Tensorflow | |
| Keras | |
| OpenCV |
| Software Tools | |
| LaTeX | |
| Bash | |
| Flex |
| Frameworks | |
| FastAPI | |
| Django | |
| Flask | |
| Laravel |
| Databases | |
| MySQL | |
| PostgreSQL | |
| MariaDB | |
| MongoDB |
| Operating Systems | |
| Linux | |
| Windows |
References
| Md. Golam Rabiul Alam, PhD | |
| Professor, Department of CSE, BRAC University, Dhaka, Bangladesh. |
| S. M. Masrur Ahmed | |
| Former Senior Engineer at bKash; PhD student, University of Houston |