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Research Projects and Collaborations

Duration	Project Title and Description	Collaborators	Fund/Approval/Client	Project Outcomes
Ongoing	Safety Envelope for Ship Recycling Practices in Bangladesh: Hazard Identification and Risk Evaluation To better understand the relationship between ship recycling practices, their hazards, and the safety and well-being of the people working in Bangladesh’s ship dismantling/recycling facilities.	Newcastle University	Engineering X, an international collaboration founded by the Royal Academy of Engineering and Lloyd’s Register Foundation.	Conference Paper 1. 3^rd International Conference on the Decommissioning of Offshore & Subsea Structures (DECOM 2022) (PDF)
Ongoing	Development of a Marine Traffic Simulator on Google Maps using Nomoto’s K-T Model. The Google Maps application is the most widely used and easily accessible map tool. This study endeavours to create a Marine Traffic Simulator leveraging the Google Maps API and Nomoto’s K-T Model. The objective is to enable the real-time analysis of a ship’s planar motion directly on Google Maps, which applies to any waterbody worldwide. The research also seeks to develop a real-time program capable of steering a ship, utilising an external control device like a steering wheel or joystick. While the K-T model provides a fundamental and straightforward assessment of planar motion, it offers only a fundamental estimation. The ultimate goal of this research is to lay the groundwork for integrating more precise and intricate models of ship motion directly into the Google Maps platform.	Md. Rahat Uddin Rashidul Azim Liman	Undergraduate Research Project of the Department of Naval Architecture and Marine Engineering (NAME), BUET	1. M.R. Uddin, R.A. Liman, and Z.I. Awal, Development of a Marine Traffic Simulator on Google Maps: Vision Towards Smart and Safe Navigation of Ships in Bangladesh, paper presented at the Bangladesh Council of Scientific and Industrial Research (BCSIR) Congress-2023: Smart Bangladesh of Tomorrow is the Science of Today, Dhaka, Bangladesh, 08-10 March 2024, Paper No. OP-B9, pp. 101. (PDF)
Ongoing	Foil Shape Optimisation using Machine Learning Based Surrogate Model Shape optimisation is crucial in aeronautical and maritime industries, often requiring extensive Computational Fluid Dynamics (CFD) simulations, leading to high computational time and cost. Sometimes, thousands or more simulations must be implemented for optimal design. Computational time and cost can be significantly reduced by using the prediction of a surrogate model. Artificial neural networks effectively construct surrogate models for predicting optimal designs, significantly reducing computational power and time. This study uses a machine-learning-based surrogate model to perform foil shape optimisations. The “Hicks-Henne bump function” has been used to parameterise and deform the original shape according to design parameters. Sampling parameters are generated using quasi-random low-discrepancy sequences called “Sobol” sequences. Numerical simulations have been conducted using the potential flow-based panel method solver “XFOIL” to obtain lift and drag coefficients of deformed foil shapes. An ANN-based surrogate model has been trained to predict the lift-coefficient and drag-coefficient corresponding to design parameters. The Python library “scipy. optimise” has been used to optimise the surrogate model to obtain optimal design parameters. The objective is to maximise aerodynamic efficiency, and a constraint was set to keep the drag coefficient less than the original airfoil. The optimised shape obtained from the process enhances the overall efficiency, making it applicable for diverse purposes ranging from marine propellers, stabilisers, fin, and rudder sections to aerodynamic wing shape sections. The optimisation process also can be used for many engineering shape optimisation processes.	Minhazul Islam Nayma Hassan Emu	Undergraduate Research Project of the Department of Naval Architecture and Marine Engineering (NAME), BUET
Ongoing	A Carbon Credit Prediction Model for Mitigating Waste-Induced Carbon Footprint from Passenger Vessels in Bangladesh Bangladesh’s river network consists of nearly 230 rivers, serving as crucial transportation routes for millions of passengers annually. Unfortunately, the absence of monitoring and implementation of effluent-releasing standards in Bangladesh has habituated the direct dumping of untreated waste into water bodies. Despite ratifying international conventions on marine pollution, Bangladesh lacks a National Marine Environmental Protection Policy, as noted by the UNDP. This research aligns with the urgent need for a sustainable model in the maritime sector, considering the inadequate waste management practices and the country’s vulnerability to climate change. The Carbon Credit Prediction model integrates biogas, a composting plant within a passenger ship, and a plastic segregation chamber to prevent water and air pollution and promote sustainable practices. The biogas and composting plant effectively process organic waste from ships, producing biogas for cooking as a safe and sustainable alternative to Liquefied Petroleum Gas (LPG). The plastic segregation chamber ensures proper storage and sale of plastic waste for recycling, reducing the need for new plastic production and promoting a circular economy. Initial findings reveal a noteworthy reduction in CO2eq emissions per ship, accompanied by daily biogas production to substitute for Liquefied Petroleum Gas (LPG), thereby diminishing reliance on imports. This model seeks to verify the overall CO2eq reduction using established methodologies, enabling the allocation of carbon credits that are designed to reduce GHG emissions by incentivising emissions reductions in developing countries like Bangladesh. Emphasising the imperative for an eco-friendly waste management strategy to safeguard Bangladesh’s marine environment, the model seamlessly aligns with Sustainable Development Goals (SDGs). It contributes to environmental protection by substantially reducing greenhouse gas emissions, promoting energy independence, and establishing a more sustainable infrastructure through the provision of carbon financing incentives while addressing the long-standing waste management problems in Bangladesh’s maritime sector.	Md. Mahmudul Hasan akib	Committee for Advanced Studies and Research (CASR), BUET	1. M.M.H. Akib, Z.I. Awal, and M.T. Hossain, A Sustainable Waste Management Approach for Passenger Ships: The Role of Carbon Credit Prediction Model in Creating a Smart Bangladesh, paper presented at the Bangladesh Council of Scientific and Industrial Research (BCSIR) Congress-2023: Smart Bangladesh of Tomorrow is the Science of Today, Dhaka, Bangladesh, 08-10 March 2024, Paper No. PP-362, pp. 567. (PDF) 2. M.M.H. Akib, Z.I. Awal, and M.T. Hossain, A sustainable waste management model for passenger ships in Bangladesh: A step towards climate change adaptation, in Proceedings of the 9th International Conference on Water and Flood Management-ICWFM 2023, Dhaka, Bangladesh, 14-16 October 2023, pp. 484-485. (PDF)
Ongoing	A Quantitative Analysis of Ferry Accidents in the Inland Waterways of Bangladesh Inland ferry transportation plays a crucial role in Bangladesh’s transportation network, connecting various regions and facilitating the movement of goods and people. However, the safety of inland ferry operations is a growing concern due to the increasing frequency of accidents. This research aims to develop a comprehensive risk assessment model using advanced computational techniques, specifically Markov Chain Monte Carlo (MCMC) and Mathematical Maneuvering Group (MMG) Model simulations. The primary objectives of this research are to develop a statistical model for assessing the probability of inland ferry accidents using MCMC simulations and to incorporate vessel maneuvering dynamics into the risk assessment through the application of MMG Models. After that, an evaluation of the effectiveness of the proposed model in predicting and mitigating inland ferry accident risks will be done. This research is significant for enhancing the safety of inland ferry transportation in Bangladesh by providing a comprehensive and dynamic risk assessment model. The outcomes can inform policy decisions, improve safety regulations, and guide infrastructure development to reduce the occurrence and severity of inland ferry accidents.	Umme Tasnim Sarah	Committee for Advanced Studies and Research (CASR), BUET	1. Paper Accepted in ICME 2023
2023	A Study of Ocean Wave Energy Harnessing Using a Piezoelectric Device at Various Wave Conditions This research project focuses on developing theoretical and mathematical models to assess total output voltage under varying parameters in different wave conditions. The Morison equation calculates the force acting on a surface pile where a Piezo device is strategically placed. Given the device’s sensitivity and fluctuating magnitude, a customised Simulink circuit is constructed to maintain a consistent current flow. The output voltage vs. wave height graph analysis reveals increased voltage generation with higher wave heights. Two real-world locations are examined to validate these findings, with a consideration of seasonal variations in wave height. Additionally, the study explores practical applications of piezoelectricity.	Masum Alam Riyad Abu Raihan Rakib Md. Mahmudur Rahman	Undergraduate Research Project of the Department of Naval Architecture and Marine Engineering (NAME), BUET	1. Two papers accepted in ICME 2023
2023	Mathematical Modeling and Simulation of Heat Dispersion Due to Fire and Explosion During Ship-Cutting In this study, a mathematical model has been developed to evaluate heat dispersion during a flash fire outside a ship. The model was solved using computational fluid dynamics (CFD) and produced discretised equations for heat flux and temperature. The model was tested by simulating a flash fire outside a ship using MATLAB. It can simulate heat dispersion following a fire incident with defined boundary constraints and a case with a wind factor. This model analyses parameters such as heat flux and temperature, which are found to be time and space-dependent. Analysing the results, this model can determine a safe distance for those aboard the ship. The study also shows that the range of this safe distance will change if the air velocity changes. For vapor cloud explosion inside the ship, an analytical method was used to determine the side-on peak overpressure, providing insights into the explosion risk inside a ship compartment. Finally, both models can estimate the risk of fire and explosion. They can be used to develop preventive procedures to decrease the potential damage caused by fire and explosion during ship-cutting.	Noshin Tarannum Mujtahid Bin taher Jahir Raihan	Undergraduate Research Project of the Department of Naval Architecture and Marine Engineering (NAME), BUET
2023	Analysis of Ferry Accident in Bangladesh Using Monte Carlo Simulation This thesis analyses ferry accidents in Bangladesh, utilising Monte Carlo simulation to explore the complex dynamics and risk factors involved. Historical accident data, vessel characteristics, and environmental parameters are employed to construct a simulation model that generates probabilistic scenarios. The mathematical model of rolling motion is solved through classical methods and Laplace transforms, incorporating Maxsurf software for stability analysis. The study’s findings shed light on crucial factors contributing to ferry accidents, such as weather conditions, overcrowding, and navigational challenges. The results from the Monte Carlo simulation offer valuable insights into accident probabilities across various situations, facilitating the identification of high-risk areas and scenarios. The research concludes by providing recommendations to enhance safety measures and risk mitigation, aiming to decrease the occurrence of ferry accidents and ensure the safety of inland vessels in Bangladesh.	Md Mynul Islam	Undergraduate Research Project of the Department of Naval Architecture and Offshore Engineering (NAOE), BSMRMU
2023	Analysis of Ferry Accident in Bangladesh Using Epidemiological Models of Accident Causation This research examines the Amanat Shah Ferry accident that occurred on October 27, 2021, and this study employs Reason’s Organisational Accident Model. It offers valuable insights into the factors contributing to waterway accidents, marking a significant stride in discussions to enhance safety measures. Furthermore, it advocates for additional research to identify effective preventive solutions.	Aftab Ebna Khalaquazzaman	Undergraduate Research Project of the Department of Naval Architecture and Offshore Engineering (NAOE), BSMRMU
2023	A Comparative Study of Maritime Safety Regulations: Based on Ferry Accidents The steadfast dedication to advancing ferry safety takes center stage in the current global connectivity and maritime trade era. This visionary thesis delves into the intricacies of marine safety regulations, specifically focusing on ferry accidents and examining the roles undertaken by Classification Societies — Det Norske Veritas (DNV), Bureau Veritas (BV), and the American Bureau of Shipping (ABS)—in comparison to the Inland Shipping Ordinance 1976. Drawing profound insights from the compelling case study of the Ro-Ro ferry Amanat Shah, the thesis imparts invaluable lessons, contributing to molding a safer maritime future. Through a comparative lens, this transformative research critically assesses the effectiveness of regulations, underscoring vital parameters such as design life, structural strength, environmental protection, welding processes, safety equipment maintenance, stability, ballast water management, docking analysis, and survey arrangements. The study’s significance lies in its commitment to preserving lives and safeguarding the environment. The findings, particularly the contributions of Classification Societies (DNV, BV, and ABS) concerning the Inland Shipping Ordinance 1976, carry substantial implications for scholars, policymakers, and maritime professionals, promising an era of heightened maritime safety.	Md. Nasibur Rahman Arpon	Undergraduate Research Project of the Department of Naval Architecture and Offshore Engineering (NAOE), BSMRMU
2022	Study on Traffic Flow Pattern in the Chattogram Port area using Automatic Identification System (AIS) This study investigates the traffic flow features in the Chattogram Port area using open-source data from the Automatic Identification System (AIS). The research attempts to understand the fundamental relationships among traffic density, vessel length, draught, and speed using statistical analysis.	Lamia Salehin	Undergraduate Research Project of the Department of Naval Architecture and Offshore Engineering (NAOE), BSMRMU
2022	Analysis of Submarine Accidents and Lessons for Bangladesh This study investigates submarine accidents that took place all over the world. Information that are available in the public domain are utilised to study the causes and trends of submarine accidents. The lessons generated from the statistical analysis are used to generate recommendations for Bangladesh.	Most. Sharmin Sultana	Undergraduate Research Project of the Department of Naval Architecture and Offshore Engineering (NAOE), BSMRMU
2022	Understanding the Problems and Prospects of Ship Recycling in Bangladesh This research attempts to understand the problems associated with occupational safety and prospects associated with national economy of Bangladesh.	Md. Tamjid Hossen	Undergraduate Research Project of the Department of Naval Architecture and Offshore Engineering (NAOE), BSMRMU
2023	Prediction of Fuel Consumption and Evaluation of Energy Efficiency of Ships In Bangladesh Using Machine Learning Ships are the world’s most cost-effective means of freight transportation. But the shipping industry is coming under scrutiny as a significant source of CO2 emission. With the increase in ship transportation activities, the CO2 emissions from ships and their environmental impacts are regularly increasing including Bangladesh. This study will predict the fuel consumption of ships in Bangladesh as an output parameter of machine learning models. The energy efficiency of the ships in terms of Energy Efficiency Operational Indicator (EEOI) on account of CO2 emission during the operation will be evaluated.	Ishrar Israil Monisha	Committee for Advanced Studies and Research (CASR), BUET	Conference Paper 1. 13th International Conference on Marine technology (MARTEC 2022)
2023	Development of A Wave Energy Harnessing Model Using Piezoelectric Device One of the major causes of global warming is Carbon dioxide emissions from fossil fuel burning. Approximately forty percentage of global CO2 emissions are emitted from electricity generation through the combustion of fossil fuels. Renewable energy is the future for sustainable environment. This research will develop a wave energy harnessing model using piezoelectric device. A theoretical formulation will be done. The theoretical model will establish relationships between wave parameters (wave height, wavelength, etc.) and voltage generated by the Piezoelectric device. An experimental setup will be developed to validate the theoretical model. He study will explore the potential of the model in the context of Bangladesh.	Md. Arshadul Karim	Committee for Advanced Studies and Research (CASR), BUET	Conference Paper 1. 6^th International Conference on Mechanical, Industrial and Energy Engineering 2020 (ICMIEE 2020) (Link)
2021 - 2022	A Model for Ship Collision Detection Using Imazu Problem Set and Nomoto Model Marine accidents due to the collision of multiple ships is a critical issue throughout the world. The Buriganga river in Bangladesh with numerous passenger vessels is the prime location for collision. The research will investigate the Imazu problem using Nomoto model for ship maneuvering. A simulator will be developed and installed in the Ship Safety and Ship Handling Simulator Laboratory at BUET.	Tanvir Reza Tanim Farihatul Mim	Undergraduate Research Project of the Department of Naval Architecture and Marine Engineering (NAME), BUET
2021 – 2022	Probabilistic Analysis of Grounding near the Waterway of Rampal Power Plant in Bangladesh for Random Ship-speeds Rampal Power Plant is a coal-fired power station that is being built near Sundarbans which is a UNSECO World Heritage Site and world’s largest mangrove forest. Being the largest power-plant in the country, it will require as much as 4.72 million coal per year. Bulk carriers with the size of about 10000 DWT will be the prime mode of vessels transporting the fuel. The number of vessels will be plying through is approximated to 600 ships per year. Situated at an ecologically sensitive area, extra caution is called for carrying fuel in case of marine accidents. With this massive freight being operated en route, a probabilistic analysis of grounding of the bulk carriers, varying with ship speed is evaluated.	Nayon Chandra Shill Md. Riasat Morshed Khan	Undergraduate Research Project of the Department of Naval Architecture and Marine Engineering (NAME), BUET	Conference Paper 1. 13^th International Conference on Marine technology (MARTEC 2022)
2021 – 2022	A Probabilistic Risk Analysis of Marine Railway Type Docking Docking is a crucial part of a ship’s lifecycle. Among different types of docking, Marine Railway type docking is one of the most common methods. While docking a ship in this method, many risks are involved such as wire failure, wheel derailment, power failure, breakage of chain of winch, breakage of block wood, etc., some of which can result in great financial loss. In this study, a probabilistic risk analysis approach is introduced. A physics-based mathematical model is developed for a “Marine Railway” type dockyard in Bangladesh based on which probabilistic risk analysis is carried out. Prediction of number of failures that could occur within a certain period is evaluated. Some relevant measurements are proposed to decrease risks while using the Risk Control Option.	Md. Rayhan Kabir Md. Aniruddah Alam	Undergraduate Research Project of the Department of Naval Architecture and Marine Engineering (NAME), BUET	Conference Paper 1. 13^th International Conference on Marine technology (MARTEC 2022)
2021 – 2022	Application of Machine Learning in Ship Maintenance: Cathodic Protection Prediction of net anode mass for underwater hull surface protection from corrosion at the design stage or repairing of a vessel can ameliorate the cathodic protection design of the ship. When a ship moves through water, it faces corrosion due to electrochemical process between ship hull and chemical substance present in that water. A well-designed cathodic protection can increase the life span of the ship preventing that electrochemical corrosion. The prime task in designing cathodic protection is to determine the current density (CD) of the hull material. In traditional process, the CD is whether determined by a simulation software or empirically, which are complicated and takes time. So use of machine learning for determining CD can be a smart, cost effective and time saving process.	Nabin Das Sirajum Munir	Undergraduate Research Project of the Department of Naval Architecture and Marine Engineering (NAME), BUET
2020 – 2021	Heave Motion Prediction of Rectangular Floating Barge Using Artificial Neural Network This research presents an efficient hybrid model developed using the artificial neural network and Lewis form method along with the numerical solution for predicting heave motion. Heave motion responses from the numerical solution and the principal particulars of vessels have been fed to the developed neural network model to learn the ship’s behavior in the presence of excitation force. Based on 15 to 30 seconds of simulation, the trained model can predict a vessel’s heave motion efficiently.	Nafisa Mehtaj Rakin Ishmam Pranto	Undergraduate Research Project of the Department of Naval Architecture and Marine Engineering (NAME), BUET	Conference Paper 1. Proceedings of the International Mechanical Engineering Congress & Exposition, November 1 – 5, 2021, USA, Paper Number: 73311 (Link)
2020 - 2021	Prediction of Hydrodynamic Coefficients of Rolling Motion of Floating Structure with Machine Learning Algorithm Machine learning has become a pivotal force in the rapidly advancing industrial landscape, finding applications in diverse sectors, including shipbuilding and operation. This research employs machine learning techniques to predict hydrodynamic coefficients governing the rolling motion of floating structures in marine environments. The rolling motion is mathematically described as a second-order equation comprising three forces: motion, resistance, and restoring balance. Artificial neural networks and specific algorithms are leveraged in machine learning, with a three-layer neural network serving as the training model. This model involves an input layer with four components, a hidden layer processing and connecting these components, and an output layer providing the outcome. The study meticulously compares projected results with analytical findings, revealing the impact of rolling even in calm waters. Additionally, the research delves into the time required for the rolling motion to complete, highlighting its intricate nature. The overarching goals include simplifying complex processes, enabling early-stage vessel stability evaluations, and offering a more accessible and efficient approach that reduces reliance on resource-intensive simulation tools. This knowledge equips designers to confidently assess and ensure vessel stability during the initial design phase.	Shahriar Abrar Rafid Niladree Niloy Das	Undergraduate Research Project of the Department of Naval Architecture and Marine Engineering (NAME), BUET
2019 – 2020	Design and Construction of a Remotely Operated Vertical Profiler (ROVP), Bangabandhu-I, and deployment in South-East Coast of Bay of Bengal for Oceanographic Research		Bangladesh Oceanographic Research Institute (BORI) (Project Size: 35,000 USD)
2018 – 2019	A Comparative Study on the Ship Collision Risk Evaluation Models The objective of this research is to study the ship collision risk evaluation models using automatic identification system (AIS) data. Several ports of national interest have been chosen globally and AIS data collection is undergoing. One of the key objectives is to investigate the collision risk fluctuation of different ports using different ship collision models. This study is expected to reveal the merits and demerits of different ship collision risk models.	Golam Sobhani Upom Costa	Undergraduate Research Project of the Department of Naval Architecture and Marine Engineering (NAME), BUET	Journal Paper 1. Bangladesh Maritime Journal (BMJ) (Link).
2018 – 2019	Risk Evaluation of Liquified Natural Gas Carrier Ship Operation in Bangladesh Using Fuzzy Logic Approach Bangladesh has recently entered in LNG import market to meet the domestic energy needs. Nationwide energy distribution network is also expanding. Under this circumstance this study attempts to evaluate the risks of LNG ship operation in Bangladesh. The study utilised fuzzy logic approach. A fuzzy risk model is under development. The model is expected to deliver risk fluctuation due to the application of various risk control options. The results of this study is expected to contribute in improving the safety of LNG ship operation in Bangladesh.	Meraj Mukesh Rafi
2017 – 2018	Performance Evaluation & Economic Design of a Remotely Operated Underwater Vehicle (ROV) Bangladesh is a riverine country and a maritime nation. The country manufactures a lot of ocean-going and inland ships which are mostly constructed and maintained in the dockyards situated near the inland rivers of Bangladesh. During maintenance and underwater inspection of these ships, divers are deployed and often these divers face hazardous and life-threatening situations. Due to high siltation in the riverbeds, the view factor of the river water is not favorable. Also, the topology of the river bed is constantly changing which often creates a problem for ship navigation. With these problems in mind, this research attempts to develop an autonomous underwater vehicle which can be used for underwater hull inspection and underwater topology scanning. The primary focus of this research is to develop suitable controller and evaluate the controller performances in different environmental conditions. The research focuses on the performances of various combinations of PID controllers in controlled and uncontrolled experimental setups. Another important objective of this research is to manufacture an inexpensive prototype which can make an impact in the competitive world market.	Ishrar Israil Monisha Shafin Haider	Undergraduate Research Project of the Department of Naval Architecture and Marine Engineering (NAME), BUET
2017 – 2018	Risk Assessment of Inland Passenger Vessel Operation in Bangladesh using Hazard and Operability (HAZOP) Analysis The objective of this research is to identify all the hazards and hazardous events while a particular ship is under operation. Hazard analysis is the process of recognising hazards that may arise from a system or its environment, documenting their unwanted consequences and analysing their potential causes. It is the process of describing in detail the hazards and accidents associated with a system, defining accident sequences and identifying hazards through a systematic hazard analysis process. Two of such processes are HAZOP and HAZID. Our focus will be on Hazard Identification (HAZID). Here the area of interest is to have a task following the context Operations and management of hazard analysis since there is a huge number of passenger vessels, cargo vessels and oil tankers are operating through local routes in our country without having proper knowledge of possible hazardous events that may arise during operation.	Md. Rahat Mojumder Tanvir Tajwar Faiaz Mohammad Osman	Undergraduate Research Project of the Department of Naval Architecture and Marine Engineering (NAME), BUET
2016 – 2019	Systems-Theoretic Approach to Safety of Inland Passenger Vessel Operation in Bangladesh An Accident model should include processes, social systems (organisation and manage4ment) and technology; not simply events and conditions. The most basic concept in STAMP (Systems Theoretic Accident Model & Processes) accident model is a constraint, rather than an event. Using this model, accidents can be understood in terms of why the controls that were in place did not prevent or detect maladaptive changes i.e. by identifying safety constraints that were inadequate in enforcing them. This model includes Entire socio-technical system (not just technical part), software and system design errors, component interaction accidents and human errors. The objective of this project is to analyse and prevent the maritime accidents of Bangladesh by applying STAMP. All the regulatory bodies and enforcing authorities relevant to the maritime safety sector of Bangladesh are taken into consideration by applying feedback loops in the STAMP model.	Imran Uddin	Committee for Advanced Studies and Research (CASR), BUET	Journal Paper 1. Safety Science (Link) Conference Papers 1. American Institute of Physics (Link) 2. MARTEC 2018
2016 – 2021	Development of a Mathematical Model for Ship Repair Time Estimates This research focuses on the estimation of the required docking time for a particular type of ship on the basis of ship repairing parameters. Dry-docking of ships are part of manufacturing and production processes incorporating hull inspection, plating works, sandblasting, painting, tank cleaning works, and others. Ship docking time indicates the duration of stay of a ship in a dockyard/shipyard (also a slip way or floating dock) and receives maintenance services, so that the ships can be operated profitably and be kept in the proper condition in line with the regulations of IMO (International Maritime Organization), flag States requirements and standards of Classification Societies. The independent variables that control the ship repairing time (which is the dependent variable) will be identified. A multiple linear regression model will be developed. The method of least square will be applied to evaluate the regression coefficients. It is believed that this model may support the management to estimate repairing time for providing better service, which eventually will boost the economic growth of Bangladesh and eliminate poverty.	Ahmed Abdullah	Committee for Advanced Studies and Research (CASR), BUET	Conference Paper 1. MARTEC 2020 (Link)
2017	Study on the controllability and maneuvering characteristics of the inland vessels in Bangladesh using Nomoto’s K-T Model. In this investigation we attempt study the controllability and maneuverability characteristics of the inland vessels of Bangladesh. We will develop a computer code based the Nomoto’s K-T model and investigate various ship maneuvering properties to judge respective controllability. We will conduct various numerical experiments such as turning circle test, zig-zag test, waypoint control and etc.	Saidul Islam Salauddin Ahmed	Undergraduate Research Project of the Department of Naval Architecture and Marine Engineering (NAME), BUET
2013 - 2014	Development of a maintenance tool (software) for prevention of ball tap malfunction and accident causation The objective of this project was to develop a software that will utilise heuristic search technique to predict ball tap malfunction in commercial cooling systems. We developed a Java program that can simulate the ball tap behavior in randomly changing environment and suggest maintenance schedule to prevent ball tap malfunction and thereby, prevent a major accident.	Professor Kazuhiko Hasegawa	H. IKEUCHI & Co.,Ltd., Osaka, Japan	Sample Program (Download)
2009 – 2010	Fault Tree Analysis (FTA) of inland water transport accidents in Bangladesh In this research we attempted to study the accident event sequence that takes place in the inland waterways of Bangladesh. We studied over three 200 accident cases and constructed fault tree model which revels the chain of events behind accident occurrence in Bangladesh. Our work involved theoretical analysis of FTA technique, accident database development, field visits and discussion with stakeholders. This project resulted in one journal paper, one conference paper and an undergraduate research thesis.	Md. Tanveer Hosain Subir Das	Undergraduate Research Project of the Department of Naval Architecture and Marine Engineering (NAME), BUET	1. Journal Paper (PDF) 2. Conference Papers (link) 3. Newspaper Article (Link)
2009	Development of and Study on a Mathematical Model of Maneuvering for LNG Ship and Pusher Barge in Restricted and Deep Water Area In this collaborative research we studied the maneuvering and controllability characteristics of Liquefied Natural Gas (LNG) carrier and pusher barge in the restricted water. LNG ships operate on high risk conditions in the restricted water due to collision threat, grounding threat, ship-bank interactions and many more. Pusher barges configurations are difficult to maneuver in shallow water and poses collision threats. In this collaborative project both model tests and time domain simulation were carried out in order to study the various performance characteristics (e.g. turning circle tests, directional stability, and etc.).	Professor Adi Maimun Dr. Agoes Priyanto Clement Scully	Various funding agencies supported this research at University Teknologi Malaysia (UTM), Johor.	Journal Papers: 1. Maimun et al. (2013) (Link) 2. Maimun et al. (2011) (Link)
2005 – 2010	Study on Ship Collision Dynamics We studied the dynamic behavior of ships after encountering collision in calm water. A mathematical model was developed for conducting time domain simulations. The model was later validated by experimental studies. The model was developed at Bangladesh University of Engineering & Technology (BUET) and model experiments were carried out at Universiti Teknologi Malaysia (UTM).	Professor Dr. M. Rafiqul Islam Professor Dr. Sadiqul Baree Professor Omar Yakoob Professor Adi Maimun	Bangladesh University of Engineering & Technology (BUET) Universiti Teknologi Malaysia (UTM)	Journal Publications: 1. Awal and Islam (PDF) 2. Islam et al. (PDF) Conference Papers: 1. Awal and Islam (PDF) Thesis Work 1. Awal (2007) (PDF)
2007 – 2008	Study on Intact Stability Details are under development.	Professor Hazuhiko Hasegawa Professor Khondoker Shahriar Iqbal
2005 - 2008	Study on Inland Water Transport Accidents in Bangladesh Details are under development.	Professor Md. Mazharul Hoque
2005	Effect of Bulbous Bow on Motion of Ship It is quite a common phenomenon that ships have bulbous bows these days. The reason is mainly savings in fuel consumption and occasionally added buoyancy. Fuller vessels are quite efficiently using this technology. But it’s effect on finer vessels particularly faster vessels are not much known and understood. Therefore, this project puts light upon finding motion response of a finer vessel (Series 60, Cb = 0.6) incorporating different types of bulbous bows. Different types of bulbous bows have been designed in three-dimensional (3D) computer aided design (CAD) software. The vessels with their new bows were paneled. A C++ computer program is developed for this paneling purpose. With these new designed bulbous bows the motion characteristics are studied using 3-D source distribution technique in regular wave. Since the research project is in the early stage, no conclusion can be easily drawn. But based on the available research findings, it is evident that bulbous bows influence the amplitude of motions, particularly in the region of natural frequency.	Professor Dr. M. Rafiqul Islam Himani Mazumder	Undergraduate Research Project of the Department of Naval Architecture and Marine Engineering (NAME), BUET	Conference Paper 1. Islam et al. (PDF) Thesis Work 1. Awal and Mazumder (PDF)