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.
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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)
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Integrating multimodal learning for improved vital health parameter estimation by Marisetty A., Medi P.R., Nemani P., Udutalapally V., Das D. Computers in Biology and Medicine 183 - (2024)
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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)
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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)
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iScan: Detection of Colorectal Cancer from CT Scan Images Using Deep Learning by Ghosal S., Das D., Rai J.K., Pandaw A.S., Verma S. ACM Transactions on Computing for Healthcare 5 1-22 (2024)
Principal Investigator
- Development of a Non-invasive Anemia and Diabetic Screening Tool Based on Photoplethysmography SRIC, IIT KHARAGPUR
- Development of Affordable Non-invasive Machine Learning-based Point-of-Care Device for Anemia Detection Among Children INDIAN COUNCIL OF MEDICAL RESEARCH (ICMR)
- HemOctor-A Smartphone Based Non-invasive Haemoglobin Measurement and Anemia Diagnosis Sri Sathya Sai Sanjeevani Research Foundation (SSSSRF)
- Learning-Assisted Integrated Sensing, Communication and Security for 6G UAV Networks Ministry of Electronics and Information Technology
- Non-invasive Diagnosis of Anemia from Conjunctiva Image INDIAN COUNCIL OF MEDICAL RESEARCH (ICMR)
- Smart insole system for monitoring and managing diabetic foot health EXCELSIOR LEATHERS PRIVATE LIMITED
- System Design and Analysis of Molecular Communication based Internet of NanoBio Things for Targeted Drug Delivery Telecom Centres of Excellence
Co-Principal Investigator
- Development of AI-Based Personalized Above Knee Powered Prostheses for Soldiers Directorate of Futuristic Technology Management (DFTM), Defence Research and Development Organisation, Ministry of Defence
Ph. D. Students
Rukhshar Khatun
Area of Research: IoT applications
Sayantani Banerjee
Area of Research: Affordable Healthcare
Simran Kumari
Area of Research: IoBNT for Healthcare
Sumedha Mitra
Area of Research: Non-invasive diagnosis
Tanbhaba Bhattacharjya
Area of Research: Joint Sensing and Localization
MS Students
Achyut Singh
Area of Research: IoBNT for Healthcare
Aditi Das
Area of Research: Non-invasive biomedical sensing
Ishan Basu
Area of Research: Multimodal Neuroimaging System
Jahir Alam
Area of Research: Network applications
Sagnik Dey
Area of Research: Non-invasive diagnosis
Snehasis Bhowmick
Area of Research: Affordable Healthcare
Upasana Saha
Area of Research: Wireless sensing
