At the Biomedical Informatics (BMI) Research Lab at IITH, we are dedicated to advancing knowledge and pushing the boundaries of scientific discovery in the following fields:
- Signal and Image Processing
- Affective Computing
- Pattern Analysis
- Machine Learning and Deep Learning
- Wearable Sensors
- Data Analytics
We collaborate with national and international partners to make significant contributions to the scientific community. Join us to explore, collaborate, and make a meaningful impact in the world of research.
- 📚 Research Publications: Over 20 papers published in reputable journals and conferences
- 📃 Patents: We hold more than 2 patents in our field
- 💻 Codebase: Our lab has developed over 14,000 lines of code
- ☕ Active Research: Our lab operates 24/7, ensuring continuous research progress
- 🤝 Collaborations: We have collaborated with over 10 different National and International Institutions
Computational Capacity: Our lab has over 12 terabytes of computational capacity- 🔌 Lab Equipment: We have more than 200 lab equipments and devices for our research
➤〔🎓〕Assistant Prof. @ IITHyderabad
➤〔🇩🇪〕Postdoc TUBS-PLRI-Germany
➤〔🔬〕Ph.D. IIT Madras
➤〔📝〕420+ Citations
➤〔💵〕$800000+ USD Funds
- Deep learning on 1-D biosignals: a taxonomy-based survey
- Convolutional neural network based emotion classification using...
- Emotion recognition using electrodermal activity signals and multi...
- Continuous monitoring of vital signs using cameras: A systematic review
- Automatic detection of atrial fibrillation in ECG using co-occurrence...
- Adaptive learning and cross training improves R-wave detection in ECG
- Binary grey wolf optimizer based feature selection for nucleolar and centrome...
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