Shamima Ferdousi Sifa, Tonoy Mahmud, Maria Abdullah Tarin, Dewan Mohammad Enamul Haque
Landslide hazard of 2017 in Rangamati district had devastating impacts on development, thereby making landslide susceptibility mapping a prerequisite for disaster risk management. This study aims to map the future landslide susceptible areas by overlaying the landslide inventory of 2017 with causati...
Md. Shakhawat Hossain, A. S. M. Maksud Kamal, Md. Zillur Rahman, Atikul Haque Farazi et al.
Tonoy Mahmud, Shamima Ferdousi Sifa, Nafisa Nuari Islam, Md. Asif Rafsan et al.
Drought is an affliction for a region that primarily depends on agriculture as economic activity. Commonly monitoring and characterizing of drought is performed by only analyzing the meteorological aspect, assuming precipitation as the primary source of water. However, in riverine Bangladesh, this c...
ASM Maksud Kamal, Shamima Ferdousi Sifa, SM Mahmudul Islam, Md Asif Rafsan et al.
Climate change will create adversative impact on the growth and development of future cities due to the proliferation of the extreme events, which will increase human, social, and economic losses over time. Therefore, it is necessary to move towards sustainable urbanization processes to reduce the i...
Ritu Roy, Dewan Mohammad Enamul Haque, Shamima Ferdousi Sifa, Sumya Tasnim et al.
Rainfall threshold estimation empirically to forecast rainfall-induced landslide events provides crucial information to reduce landslide impact. The landslide events triggered by rainfall are common in Cox's Bazar district, especially during the monsoon season. Geological settings and climatic condi...
Rahat Bin Aziz Tonoy, Mahmudunnabi, Hasan Mohiuddin Zilany, Rashedur M. Rahman
The use of IoT devices is incredibly popular nowadays. IoT technology helps us to innovate more secure and smart devices. For the past few years, the concept of a safe and smart home has gotten a lot of attention. A home automation system is a collection of smart devices and sensors that enable vari...
Shamima Ferdousi Sifa, Dewan Mohammad Enamul Haque, Tonoy Mahmud, Maria Abdullah Tarin
Md. Mahmodul Hassan, Khandaker Tabin Hasan, Idi Amin Tonoy, Md. Mahmudur Rahman et al.
Kamrun Nahar Khan Mukti, Tonoy Mahmud, Md Shakhawat Hossain, Md Zillur Rahman et al.
Handling the increasing volume of electronic waste (e-waste) is quite challenging for Bangladesh, annual production are roughly 2.7 million tons. However, only 20–30% of this waste is properly recycled; while the rest is dumped in rivers, landfills, and public spaces, placing the environment and pub...
Mahmud Hossain, Abidur Rahman, Sujana Islam Smrity, Md. Farhan Tonoy et al.
Islam, Nafisa Nuari, Mahmud, Tonoy, Sifa, Shamima Ferdousi, Rafsan, Md. Asif et al.
<strong class="journal-contentHeaderColor">Abstract.</strong> Bangladesh faces heightened flood vulnerability due to climate change, particularly in riverine areas where health impacts are severe. The study aims to estimate the public health vulnerability in Dimla Upazila (Nilphamari district) using...
Islam, Nafisa Nuari, Mahmud, Tonoy, Sifa, Shamima Ferdousi, Rafsan, Md. Asif et al.
<strong class="journal-contentHeaderColor">Abstract.</strong> Bangladesh faces heightened flood vulnerability due to climate change, particularly in riverine areas where health impacts are severe. The study aims to estimate the public health vulnerability in Dimla Upazila (Nilphamari district) using...
Nafisa Nuari Islam, Tonoy Mahmud, Shamima Ferdousi Sifa, Md. Asif Rafsan et al.
Abstract. Bangladesh faces heightened flood vulnerability due to climate change, particularly in riverine areas where health impacts are severe. The study aims to estimate the public health vulnerability in Dimla Upazila (Nilphamari district) using the Analytical Hierarchy Process (AHP), incorporati...
Mohammad Tajul Islam Chowdhury, Tonoy Mahmud, Md. Shakhawat Hossain, Md. Zillur Rahman et al.
High-rise buildings, while equipped with modern amenities, face significant fire safety challenges due to their height, complex designs, uses and diverse materials. Fire incidents, whether accidental or intentional, can lead to devastating consequences, including loss of life, extensive property dam...
Rahat Hasan Robin, Mahmud Hossain, Md Al-Imran, Abidur Rahman et al.
Machine learning based vehicle price prediction system is developed to predict accurate price, providing insights for sellers, buyers, and dealers. Leveraging machine learning algorithms, this work explores various analytical techniques to enable smarter data driven decision making system for automo...