- đź’¬ Projects in Computer Vision, NLP, Internet of Things, and Wearables
- đź“§ Contact [email protected]
M.S | 2024 - 2025 | Internet of Things with Data Science | University of Salford | GPA: 80.5/100 |
M.S | 2018 - 2020 | Exercise Physiology | Kharazmi University | GPA: 3.7/4 |
B.S | 2015 - 2018 | Sport Biosciences | Azad University CTB | GPA: 3.7/4 |
Human Activity Recognition | MHealth | CNN-LSTM |
|
|
Big Data | Steam 200K | Recommender System-ALS |
|
|
Big Data | Clinical Trial | SQL |
|
|
Human Activity Recognition | PLHI-MC10 | Preprocessing |
|
|
Classification | Obesity Prediction | Random Forest & XGBoost |
|
|
Computer Vision | Vehicle Counting | YOLOv11 & ByteTrack |
|
|
IoT Fall Detection | Arduino & ThingSpeak | Embedded Systems |
|
|
Sentiment Analysis | FlipCard | Logistic Regression & Support Vector Machine |
|
1. Submitted to the "European Journal of Applied Physiology". Below is the preprint at bioRxiv Rajabi, H., Askari, B., & Clarke, D.C (2025). Endurance training restores ageing-impaired lysosomal biogenesis factors in rest and response to acute exercise in rat skeletal muscle. https://doi.org/10.1101/2025.01.28.635321
2. Benyamin Askari, Zi Xiang Lim, Janjira Soh, Brian Keith Kennedy, Jorming Goh* co-first authoring a perspective review with Professor Jorming Goh from the National University of Singapore, exploring DAMPs, aging, and exercise, utilizing NLP as well. The paper is scheduled for publication in "Nature Metabolism".