Our conference paper “DiChokro: An Anti-Theft System for Two Wheelers” has been published on ICCIT 2019
Sarker, M. R. A., Alam, K. T., & Rahman, T., “DiChokro: An Anti-Theft System for Two
Wheelers,” 2019 22nd International Conference on Computer and Information Technology (ICCIT), 2019, pp. 1-5,
“Deep Learning-Based, Automatic Malaria Parasite Detection from Blood Smear and Its Smartphone-Based Application” has been published in Diagnostics 2020
Fuhad, K.M.F.; Tuba, J.F.; Sarker, M.R.A.; Momen, S.; Mohammed, N.; Rahman, T. Deep Learning-Based Automatic Malaria Parasite Detection from Blood Smear and Its
Smartphone-Based Application. Diagnostics 2020, 10, 329.
“An Efficient Surface Map Creation and Tracking Using Smartphone Sensors and Crowdsourcing” has been published in Sensors 2021
Thesis supervisor: Dr. Tanzilur Rahman
Like Smart Home and Smart Devices, Smart Navigation has become necessary to travel through the congestion of the structure of either buildings or in the wild. The advancement in smartphone technology and the incorporation of many different precise sensors have made the smartphone a unique choice for developing practical navigation applications. Many have taken the initiative to address this by developing mobile-based solutions. Here, a cloud-based intelligent traveller assistant is proposed that exploits user-generated position and elevation data collected from ubiquitous smartphone devices equipped with Accelerometer, Gyroscope, Magnetometer, and GPS (Global Positioning System) sensors. The data can be collected by pedestrians and drivers and are then automatically put into topological information. The platform and associated innovative applications allow travellers to create a map of a route or an infrastructure with ease and to share the information for others to follow. The cloud-based solution that does not cost travellers anything allows them to create, access, and follow any maps online and offline. The proposed solution consumes little battery power and can be used with lowly configured resources. The ability to create unknown, unreached, or unrecognized rural/urban road maps, building structures, and the wild map with the help of volunteer traveller-generated data and to share these data with the greater community makes the presented solution unique and valuable. The proposed crowdsourcing method of knowing the unknown would be an excellent support for travellers.
