Home > Centre of Excellence in Affordable Healthcare > Debanjan Das
Assistant Professor Grade-I
Centre of Excellence in Affordable Healthcare
My research focuses on developing cost-effective, portable, and patient-centric healthcare technologies with a goal of ultimately bringing clinical sensing out of the clinic. The next generation of healthcare needs to leave the confines of labs and solutions to be truly usable by everyone. Toward this goal, I am leveraging the ubiquity of modern computers, such as sensors on smartphones, wearables, and embedded devices, to address problems related to people’s health and well-being. By designing and developing hardware and software-defined AI systems, I focus on a wide range of applied sensing including mobile health sensing, biomedical sensing, and their applications in smart healthcare. I am actively developing new health diagnosis solutions using my expertise in mobile and embedded system development, signal processing, machine learning, and biomedical engineering. My work also spans other topics at the intersection of healthcare and ubiquitous computing, such as biomedical signal processing, Internet of Medical Things (IoMT), novel sensing modalities and devices, as well as on-device machine learning.
DeepVitals: Deep neural and IoT based vitals monitoring in smart teleconsultation system by Ghosal S., Das D. , Venkanna U. , Sridhar S. , Basha S. M., Wasnik P. N. Internet of Things 25 101117- (2024)
jScan: Smartphone-Assisted Bilirubin Quantification and Jaundice Screening by Prajapati J., Das D. , Venkanna U. , Mahapatra R. , Wasnik P. N. IEEE Sensors Journal 23 26654-26661 (2023)
FedCare: Federated Learning for Resource-Constrained Devices in IoMT-based Social Healthcare Systems by Gupta A., Misra S. , Pathak N. , Das D. IEEE Transactions on Computational Social Systems 10 1587-1596 (2023)
glucam: Smartphone based blood glucose monitoring and diabetic sensing by Ghosal S., Kumar A. , Udutalapally V. , Das D. IEEE Sensors Journal 21 24869-24878 (2021)
iNAP: A Hybrid Approach for NonInvasive Anemia-Polycythemia Detection in the IoMT by Ghosal S., Das D. , Udutalapally V. , Wasnik P. N. ACM Transactions on Computing for Healthcare (HEALTH) 3 1-28 (2022)
HemOctor-A Smartphone Based Non-invasive Haemoglobin Measurement and Anemia Diagnosis Sri Sathya Sai Sanjeevani Research Foundation (SSSSRF)
Smart insole system for monitoring and managing diabetic foot health EXCELSIOR LEATHERS PRIVATE LIMITED
