• Transboundary perspective to ensure salinity-based environmental flow for the Gorai river system 

  Shykat Hossain, Md. (Institute of Water and Flood Management (IWFM), BUET, 2025-01-13)

  Salinity intrusion poses a significant threat to the ecological and socioeconomic stability of coastal regions in Bangladesh, particularly within the Gorai River system. This study investigates the spatiotemporal variations ...
• Evaluating interactions of second phases with chemical conversion coating on Mg-Zn-RE (Gd, Y) alloy for surface protection 

  Tasnuva Zahan Liza (Department of Materials and Metallurgical Engineering (MME), BUET, 2025-05-27)

  Magnesium alloys are highly suitable for lightweight manufacturing and applications due to their impressive mechanical properties and high strength-to-weight ratio. However, their vulnerability to corrosion restricts their ...
• Polarization insensitive electrically reconfigurable metasurface for metalensing at near infrared wavelength 

  Asif Hossain Bhuiyan, Md. (Department of Electrical and Electronic Engineering (EEE), BUET, 2025-05-19)

  The conventional fiber communication band at 1.55 µm is approaching its capacity limit due to the growing demand for high-speed and large-volume data transmission. In re- sponse, the 2 µm waveband is emerging as a promising ...
• Geotechnical characterization and stability of embankment at selected floodplain areas 

  Fayjul Bari, Md. (Department of Civil Engineering (CE), BUET, 2025-03-15)

  Embankments can significantly shield people, farms, and livestock from flooding during floods. Embankment stability analysis is necessary to evaluate structural integrity and prevent flood-induced failures because of its ...
• Generation of novel mashup data and detection of categorical web attacks 

  Shakil Ahammad (Department of IICT, BUET, 2025-02-19)

  Information security is a dynamic combination of technology between what we have and whatever we can. The study of information security is all about data because of the polymorphic nature of cyber-attacking signatures. ...
• Synthesis of La and Cr Co-doped BiFeO3 nanoparticles to investigate the magnetic properties and photocatalytic performance 

  Rozario, Vincent Titas (Department of Physics (PHY), BUET, 2025-05)

  Pharmaceutical wastewater contamination, especially from antibiotics, poses significant environ- mental and health hazards due to the emergence of antibiotic-resistant bacteria and the limitations of conventional treatment ...
• Effective use of data transformation Methods for machine learning applications 

  Sana, Joydeb Kumar (Department of Computer Science and Engineering (CSE), BUET, 2025-05-13)

  Data transformation (DT) plays a vital role in the data preprocessing phase of machine learning (ML) model training. Several DT methods are being used in ML applications. However, all the DT methods are not suitable for ...
• An efficient CNN-based regression model for noise prediction in color images 

  Nasima Islam Bithi (Institute of Information and Communication Technology (IICT), BUET, 2025-04-07)

  The presence of noise in digital images remains a critical barrier to high-fidelity visual representation, compromising both perceptual quality and the accuracy of downstream image analysis. Among various noise types, ...
• Quantifying pathological progression from single-cell transcriptomics data 

  Samin Rahman Khan (Department of Computer Science and Engineering (CSE), BUET, 2025-06-21)

  The surge in single-cell datasets and reference atlases has enabled the comparison of cell states across conditions, yet a gap persists in quantifying pathological shifts from healthy cell states. To address this gap, we ...
• Design and implementation of microwave plasma reactor for the production of silicon-nano-particle from locally available quartzite 

  Das, Sagar Kumar (Department of Electrical and Electronic Engineering (EEE), BUET, 2025-05-28)

  Plasma nanotechnology plays a crucial role in the large-scale synthesis of nanoparticles, which are widely used in various modern technological applications. Conventional microwave-based plasma reactors typically incorporate ...
• Impact of hematological and morphological variations at circle of willis on cerebrovascular hemodynamics 

  Jafrin Sultana (Department of Biomedical Engineering (BME), BUET, 2025-05-19)

  Cerebrovascular diseases, including ischemic stroke and intracranial hemorrhage, remain leading global health burdens. The Circle of Willis (CoW), a critical arterial network for cerebral perfusion, is highly influenced ...
• Forecasting Brahmaputra-Jamuna river flow from satellite data using artificial intelligence 

  Asheque Mahmud, Md. (Department of Water Resources Engineering (WRE), BUET, 2025-02-22)

  Bangladesh is a flood-prone country due to its low-lying geography, heavy monsoon rainfall, and frequent cyclones, particularly in the coastal and tidal regions. Severe flooding in recent decades has resulted in many ...
• Comprehensive ensemble-based machine learning approach for DDoS detection to enhance security in software-defined network 

  Zobair Raihan, Md. (Institute of Information and Communication Technology (IICT), BUET, 2025-03-10)

  Software-Defined Networking (SDN) has emerged as a key solution for meeting the expanding demands of IT and online computing services. Its ability to offer flexible network management and cost-efficient operations has made ...
• Determination of occurrence probability and frequency analysis of maximum surge level of tropical cyclone along the exposed coast of Bangladesh 

  Anika Tahsin (Institute of Water and Flood Management (IWFM), BUET, 2024-12-21)

  The coastal region of Bangladesh is repeatedly battered by major cyclones from the Bay of Bengal (BOB) almost every year. The majority of the destruction caused by cyclones in Bangladesh is due to storm surges that can ...
• Assessing the impacts of integrated farming on food security and livelihoods in a coastal area of Bangladesh 

  Farhana Parvin (Institute of Water and Flood Management (IWFM), BUET, 2025-01-14)

  Coastal regions of Bangladesh face mounting environmental challenges that threaten agricultural sustainability and food security, with salinity intrusion, climate change impacts, and natural disasters, particularly affecting ...
• Carbon nanotube and PEDOT:PSS reinforced nanocomposite of cellulose nanocrystals for electrode materials 

  Mahtabur Rahman, Md. (Department of Physics (PHY), BUET, 2025-05-27)

  In this study, cellulose nanocrystal (CNC)-based nanocomposites are synthesized using solution casting method. Varying amounts of carbon nanotubes and poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate) are integrated ...
• Future role of non-government organizations in climate change adaptation in Bangladesh 

  Arif Chowdhury, Md. (Institute of Water and Flood Management (IWFM), BUET, 2024-02-11)

  Bangladesh is one of the most susceptible countries to climate change, while geographical and socioeconomic characteristics are accelerating the adverse condition. Following the increasing effects of climate change, it is ...
• Beryllium sulfide monolayer as a biosensor for early lung disease detection 

  Saha, Sudipta (Department of Electrical and Electronic Engineering (EEE), BUET, 2025-04-15)

  Considerable attention has been directed towards the prognosis of lung diseases primarily due to their high prevalence. Despite advancements in detection technologies, current methods such as computed tomography, chest ...
• Predicting cargo throughput at the Chittagong port using time series data 

  Nadia Binte Mohammad (Department of Civil Engineering (CE), BUET, 2025-06-14)

  Accurate forecasting of port cargo throughput is critical for efficient logistics and strategic planning in global trade networks. This thesis presents an integrative study that employs multiple state-of-the-art forecasting ...
• Diagnosis-oriented learned image compression system for chest radiographs with Regions-of-interest control 

  Ibn Sabur Khan Nuhash, Shoyad. (Department of Biomedical Engineering, BUET, 2025-05-28)

  This thesis presents DiagLIC, a diagnosis-oriented learned image compression (LIC) framework specifically designed for chest radiographs. Unlike conventional codecs and general-purpose LIC models that prioritize visual ...

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