About
194
Publications
384,496
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Introduction
Dr. Modestus Okwu has been actively involved in teaching and conducting scientific research at the Federal University of Petroleum Resources since 2014. Presently holding the position of Associate Professor, he had approximately three years of valuable postdoctoral experience at the University of Johannesburg, South Africa. Dr. Okwu's research pursuits encompass a wide range of interests, including Robotics and Energy, Supply Chain & Metaheuristics.
https://www.youtube.com/@modestacademy2023/
Additional affiliations
October 2019 - present
Position
- PostDoc Position
Description
- Teaching and Research - Writing research proposals for grants. - Conducting research in line with Industry 4.0 - Analysis of big data using Artificial Intelligence (AI) and Machine Learning (ML) and other computational intelligence techniques. -Development and analysis of Robots for use in the manufacturing and health sector using Artificial Intelligence techniques and nature-inspired algorithms.
October 2019 - present
Position
- Postoral Research Fellow
Description
- Writing research proposals for grants. - Conducting research in line with Industry 4.0 - Analysis of big data using Artificial Intelligence (AI) and Machine Learning (ML) and other computational intelligence techniques. -Development and analysis of Robots for use in the manufacturing and health sector using Artificial Intelligence techniques and nature-inspired algorithms.
Education
February 2016 - January 2017
University of Pretoria
Field of study
- Industrial and System Engineering
March 2013 - July 2017
Federal University of Technology Owerri
Field of study
- Mechanical/Industrial and Systems Engineering
October 2008 - September 2010
Publications
Publications (194)
Supplier quality evaluation in industrial sectors is well-recognized due to its direct impact on quality assurance and improvement. This task is challenging due to the need to process extensive qualitative and quantitative data, multi-dimensional attributes, and numerous suppliers. Traditional methods are increasingly inadequate to manage this larg...
In this study based on the sustainable biodiesel production from tobacco seed oil, response surface methodology (RSM) and adaptive neuro-fuzzy inference system (ANFIS) were employed, as a hybrid cutting-edge computational technique renowned for their solution power in nonlinear modeling and handling complex stochastic datasets. This study marks the...
This chapter is focused on the optimization of biodiesel production from readily available feedstock by implementing artificial neural network (ANN) models. In response to the growing emphasis on sustainable fuel sources, the study addresses the critical imperative for proficient and environmentally conscious biodiesel production methods. The utili...
Biodiesel, recognized as an environmentally friendly alternative to diesel fuel, holds significant promise with its favorable properties, including ease of production, renewability, enhanced energy security, environmental benefits, and improved safety features. This study explores the utilization of natural heterogeneous catalysts, focusing on wast...
This study investigates the viability of tobacco seeds as a sustainable feedstock for biodiesel production, employing a comprehensive parametric study facilitated by response surface methodology (RSM) and the Grey Wolf Optimization (GWO) algorithm. The increasing demand for sustainable and alternative energy sources has prompted the exploration of...
The quest for sustainable alternatives to conventional fossil fuels has gained attention, with a particular focus on biodiesel derived from renewable feedstocks. This study is an exposition of the potential of hemp as a promising and eco-friendly feedstock for biodiesel production. Hemp exhibits significant promise owing to its elevated oil content...
This study is an exposition of Moringa oleifera ( M. oleifera ) as a potential and excellent feedstock for biofuel production due to its high oil content and ability to grow in marginal soils with little water. It has also been observed to provide multiple economic and environmental benefits, such as providing a source of income for farmers in deve...
This chapter offers a comprehensive examination of the viability of sunflower as a promising feedstock for biodiesel production. It encompasses a detailed analysis of the crop's characteristics, agronomic practices essential for successful cultivation, and various techniques employed in oil extraction from sunflower seeds. The primary focus is on a...
This chapter is focused on the exploration of water hyacinth (WH) as a promising feedstock for biodiesel production, emphasizing its potential to address environmental concerns associated with greenhouse gas emissions and reduce dependence on fossil fuels. The comprehensive exposition covers various aspects of utilizing WH for biodiesel production,...
Jatropha curcas ( J. curcas ), a nonedible oilseed crop, has attracted attention as a promising source for biodiesel production owing to its notable features, such as high oil content, rapid growth, and adaptability to marginal lands. This study offers a comprehensive overview of the current state of J. curcas as a biodiesel feedstock, encompassing...
The growing demand for sustainable and renewable energy sources has led to an increased interest in biodiesel production from nonedible feedstocks. Research on renewable fuels that will replace the use of fossil fuels has become a top priority due to the environmental crisis and concerns about energy security. Sweet sorghum, a versatile and high-yi...
Biodiesel production from renewable feedstock is an interesting alternative to traditional fossil fuels due to its prospect of reducing the release of greenhouse gases and reliance on nonrenewable energy sources. This chapter investigates the biodiesel potential of Cucurbita pepo ( C. pepo ) seed oil, exploring its viability as a promising feedstoc...
The prevalent utilization of fossil fuels is widely recognized as a major contributor to environmental pollution. To counter the challenges posed by the energy crisis and environmental degradation, various eco-friendly and renewable energy solutions are being explored. Cyperus esculentus, a plant belonging to the Cyper genus within the sedge family...
Biodiesel, recognized for its eco-friendly and renewable attributes in diesel engine applications, faces significant challenges related to the agrifood-energy dilemma, the choice of catalysts employed during production, and the utilization of edible oils in the production of biodiesel. This study highlights the potential of Hura crepitans ( H. crep...
Biodiesel, an environmentally friendly alternative to conventional diesel, stands at the forefront of sustainable energy solutions, addressing numerous issues associated with fossil fuel consumption. One promising aspect in biodiesel production involves the utilization of Cussonia bateri popularly known as Jansa seed oil as a feedstock, which is co...
The study was conducted to produce biodiesel from Elaeis guineensis using a natural heterogeneous catalyst derived from discarded snail shells. The catalyst's properties were characterized using SEM, and various process parameters were evaluated during biodiesel production. The results indicated a significant oil yield of 58.87% from the crop. SEM...
The production of biodiesel from edible sources faces challenges such as food security issues and cost concerns. To address these challenges, waste cooking oils (WCOs) emerge as a promising alternative feedstock due to their widespread availability. The inherent diversity of fatty acids in WCOs makes them highly suitable for biodiesel production, w...
Today's policymakers face a significant challenge in successfully integrating Industry 4.0 technologies across various sectors. With Industry 4.0 set to play a crucial role in the future, the need for a robust implementation framework is evident. This article focuses on an appropriate pattern for deploying Industry 4.0 technologies with the assista...
Biofuels made from renewable sources have drawn a lot of attention in the search for sustainable energy sources. The ever-increasing global population growth has spurred an amplified energy demand, imposing significant pressure on predetermined energy resources like coal and petroleum, which are gradually diminishing. The depletion of these resourc...
Many promising qualities of biodiesel have led to claims that it is the ideal diesel fuel replacement. In addition to boosting energy security and the environment, they are clean and renewable. Characterization was done on the oil from Chrysalises icaco ( C. icaco ) seeds. According to the findings, C. icaco had a yield of 60.80%. Its potential for...
This study investigates the potential of Aidan seeds, a nonedible plant source, as a novel feedstock for sustainable biodiesel production. With an increasing global demand for renewable energy sources, the exploration of alternative and nonfood-based feedstocks is crucial for the long-term viability of biodiesel production. Aidan seeds, traditional...
This study encapsulates the forward-looking perspective presented in the book centered on advancing sustainable biodiesel production with biodegradable feedstocks. It emphasizes the importance of innovation, efficiency, technological integration, global collaboration, policy support, and public awareness in navigating toward a greener and more sust...
The imperative shift toward sustainable and eco-friendly energy solutions has prompted an investigation into alternative feedstocks for biodiesel production. This study focuses on the feasibility and potential of utilizing rapeseed oil as a primary feedstock for sustainable biodiesel production. Rapeseed oil, derived from Brassica napus , presents...
Complete and practical guidance on using biodegradable feedstocks for biodiesel production
Feedstocks for Sustainable Biodiesel Production: Characterization, Selection, and Optimization helps readers understand the advantages, challenges, and potential of different biodegradable feedstock options that can be used in biodiesel production, covering...
Accurate prediction of biogas yield is crucial for optimizing waste-to-energy conversion systems in anaerobic co-digestion processes. In this study, a double input and single output (DISO) fuzzy mamdani model (FMM) was developed for the prediction of biogas yield in a pilot scale of 105-L mesophilic anaerobic sludge bio-digester. The input variable...
Liquefied Petroleum Gas (LPG) is widely recognized as a safe option for household cooking. However, in settings like Nigeria, within sub-Saharan Africa, hazardous events related to LPG are not uncommon, often resulting from inadequate handling and utilization practices. Despite LPG's growing popularity for its sustainability and efficiency, safety...
In recent times, the application of Artificial Intelligence (AI) has become widespread across various fields, including machining operations like milling, drilling, shaping, turning, grinding, counter drilling, and counter sinking. Among the techniques used in these applications, Artificial Neural Networks (ANN) have gained popularity. This study f...
It is precarious to scrutinize the impacts of operational parameters on corrosion when choosing materials for the green diesel and automotive industries. This was the original study to show case an optimization stratagem for abating corrosion rates (CRs) of automotive parts (APs) explicitly copper and brass in a biodiesel environment, adopting nove...
The Catalytic Cracking Unit (CCU) stands out as the primary factor responsible for enhancing gasoline production in the refinery. This paper provides deep insight into the complexity of the factors within this unit, explores their broader implications, and offers rationale for their technical significance. A survey approach involving the use of Pri...
This study presents an approach to produce biodiesel from Elaeis guineensis using natural heterogeneous catalysts derived from raw, calcined, and acid-activated forms of waste snail shells. The catalysts were thoroughly characterized using SEM, and process parameters were systematically evaluated during biodiesel production. Our results demonstrate...
Asset management is fast becoming the backbone of modern production as it enables production facilities to operate at a high level of availability, reliability, and operability. One of the major challenges facing the mining sector is the identification of reliable and sustainable suppliers necessary for a matured asset management program (MAMP). Th...
Biodiesel has been referred to as a perfect substitute for diesel fuel due to its numerous promising properties. They are renewable, clean, increase energy security, and improve the environment. The seed oil of Chrysobalanus icaco was characterized using Gas Chromatography-Mass Spectrophotometer (GCMS) and Fourier Transform Infrared Spectroscopy (F...
Water hyacinth (WH) is a rapidly growing seaweed and a potential renewable energy source. WH biomass can be processed and compressed to briquettes for use in cooking and heating coal power plants. Biomass is typically processed and compressed using conventional briquette machines (CBM). The inability of the CBM to produce the desired amount of briq...
Managers face uncertainties while making allocation decisions, especially in dual or multi-source multi-destination inventory systems. Regrettably, many studies focus on classical methods as a technique for product distribution, which has never guaranteed a satisfactory solution. Real-life problems are non-deterministic polynomial-time hard (NP-har...
The goal of this study is to develop a comprehensive solution model based on an integrated Multi-Criteria Decision Making (MCDM) approach as an alternative method capable of evaluating various elements for supplier selection (SS) in the Oil and Gas (O&G) industry. The problem of delays during resource extraction and refinement is one of the primary...
Asset management is fast becoming the backbone of modern production as it enables production facilities to operate at a high level of availability, reliability, and operability. One of the major challenges facing the mining sector is the identification of reliable and sustainable suppliers necessary for a matured asset management program (MAMP). Th...
This study provides data on hybrid bio-briquettes produced from water hyacinth and rice husk. Cassava starch was used as a binder for the components of the prepared organic waste matter. Multiple units of briquettes were produced using an automated briquette machine. The machine has a hopper device, heating element, and mini-LCD screen for temperat...
Soil conditioners like manure and slurry from farmyard and digestate which supply important nutrients to plants are known to contain pathogens that are equally withering to plants. Anaerobic digestion (AD) is an organic or biological process that uses stored energy in organic compounds for biogas production. Ongoing research work has focused on the...
Electricity generation has been a persistent challenge for developing and underdeveloped nations of the world. Small-, medium-and large-scale fossil fuel-powered electricity generators have been employed in several communities as a means of providing alternative electricity supply. Due to the high running cost and environmental threat associated wi...
This study analyses the detectability of various flaws in fuel flow pipelines by using conventional NDT methods. Non-Destructive Test (NDT) is used to detect defects in weldment as it does not affect, destroy, or disturb the main features of the product or material. Radiography test, Manual Ultrasonic Test and Magnetic Particle Test were conducted...
Stirling engine is considered one of the most promising alternatives to conventional combustion units due to its versatility and potential to achieve relatively high efficiency. The output - power, and torque are the main performance indicators that depend on many variables. Many studies have pointed out that the relationship between the performanc...
This paper presents the detection of fault prognostics in bearings with the application of extended Takagi-Sugeno fuzzy recursive least square algorithms (extsfrlsa). The nonlinear system is decomposed into a multi-model structure consisting of linear models that are not inherently independent, due to the fuzzy regions defined in extsfrlsa. The ext...
The energy business thrives with in-depth knowledge and awareness of the subsurface in the oil and gas operations. Strategists have attempted to solve the problem of uncertainties which exist as a result of the complex nature of the subsurface in a variety of ways; nevertheless, the traditional approaches used have failed to provide a reliable guid...
Organizations invest heavily during the installation of pipeline
facilities which spans across extensive geographical linkage.
Also, the issue of pipeline protection and safety must be
taken into consideration to have a free flow of oil and gas
at inbound and outbound locations. This has necessitated
the need for routine inspection and monitoring o...
Machine learning applications have gained popularity over
the years as more advanced algorithms like the deep learning
(DL) algorithm are being employed in signal identification,
classification and detection of cracks or faults in structures.
The DL algorithm has broader applications compared to
other machine learning systems and it is a creative a...
This research aims to investigate a possible integration between Lean Six Sigma tools and principles in Industry 4.0 technologies to address pre-harvest and post-harvest food waste with a focus on Sub-Saharan Africa. With the projected increase in world population by United Nations to increase by 33% in 2050 and 99% increase in Sub-Saharan African...
This research aims at evaluating possible ways of implementing the lean six sigma tools and principles to micro, small and medium enterprises (MSMEs) to develop Competitiveness and resilience during and after the pandemic. The emergence of COVID-19’s economic repercussion on MSMEs is part of a global crisis that has positioned SMEs under enormous s...
Thermal systems play a main role in many industrial sectors. This study is an elucidation of the utilization of artificial neural networks (ANNs) in the modelling of thermal systems. The focus is on various heat transfer applications like steady and dynamic thermal problems, heat exchangers, gas-solid fluidized beds, and others. Solving problems re...
In harsh environments, offshore oil and gas support operations are subjected to frequent logistics and supply chain operational disruption, due to harsh environmental factors with their associated risks. To capture these stochastic influential factors and support related decision making, it is helpful to develop a robust and dynamic probabilistic m...
In recent years, most traffic accidents and congestions usually occur at road intersections in urban areas where the vehicle speed is high. This has necessitated the need for intelligent road transport systems and high-level algorithms to unravel the problem. In this study, the South Africa Road transportation system has been used as a case study t...
Activities in the mining industries as a result of rock blasting is the cause of extreme rock vibration which is considered a serious environmental hazard. In most cases, explosives are often used for the disintegration of rocks in opencast mine. One of the major challenges often experienced in mining industries is the case of ineffective use of ex...
The ongoing search for a more sustainable, renewable, and affordable fuel source has necessitated the quest and search for a better diesel. Biodiesel, an environmentally friendly diesel, has been able to solve many of the issues that have arisen as a result of the use of fossil fuels. They are mostly synthesized by transesterification of a FFA with...
This research is focused on methodical appraisal and long lasting use of feed stocks for manufacture of biodiesel. Biodiesel is a good substitute to petroleum diesel because of its environmentally friendly constituents. They are renewable, sustainable with high oxygen content. Production of biodiesel form various feedstock's using a suitable and af...
Recently, manufacturing companies aspire to implement reverse logistics in response to stakeholders' requirements to reduce negative environmental consequences, improve organizational sustainable performance and ultimately increase competitive advantage. However, implementing reverse logistics can be impeded by a criteria framework, and necessitate...
The accurate and effective prediction of the traffic flow of vehicles plays a significant role in the construction and planning of signalized road intersections. The application of artificially intelligent predictive models in the prediction of the performance of traffic flow has yielded positive results. However, much uncertainty still exists in t...
In recent years, increasing number of models and algorithms based on time series prediction and machine learning have been applied to traffic flow prediction, with good results achieved. However, few transportation researchers have been able to draw on any systematic research into the modeling of traffic flow at signalized road intersections. In th...
Abstract: The tremendous increase in vehicular navigation often witnessed daily has elicited constant and continuous traffic congestion at signalized road intersections. This study focuses on applying an artificial neural network trained by particle swarm optimization (ANN-PSO) to unravel the problem of traffic congestion. Traffic flow variables, s...
This paper is an exposition of the effects of industrial and environmental noise on humans, and how this subsequently impacts human capital development which will in turn affect sustainable national development. It equally considers the existing noise regulations in Nigeria with a view to identify the negative effects of industrial and environmenta...
The development of mechanical systems, specifically autonomous systems, is popular in the literature of applied intelligence, robotics being one of them. This research is focused on the performance analysis of developed Sensor Controlled Cart Trolley. Research in this field has become necessary to make life easier for disabled persons and aged peop...
The world is moving very fast as Industry 4.0 has
changed the way we live our daily lives. Researchers and
strategists continue daily to explore technological innovations
linked with artificial intelligence, machine learning, and
robotics to support humans. The new technology no doubt will
boost utilization of resources and improve operations in di...
This research output demonstrates a modular wall painting robot (WPR) with inbuilt remote control, for application in hazardous environments. The mechanical system was designed and fabricated using locally sourced material. The specific materials for the setup include steel for the frame of the robot, wooden material for the arm, waste water dispen...
Thermoacoustic refrigerators are emerging devices that make use of meaningful high-pressure sound waves to induce cooling. Despite the accelerated progress in the field of thermoacoustics, knowledge of the heat transfer process in the heat exchange of the devices is still developing. This work applies different soft computing techniques, namely, an...
This study indicates the modelling and optimization of biogas production on assorted substrates of poultry wastes (PW) and cow dung using RSM and ANN. Three-layered ANN feedforward BP and RSM models were developed to estimate the yield of biogas produced via mixture of CD and PW droppings produced from a bio-digester system in the ratio 1:2. At the...
Quality improvement methodologies are important for efficiency, effectiveness, and productivity in diverse sectors. Six Sigma being a management technique has been widely utilized to improve quality in manufacturing and service systems. This research is focused at the systematic identification of opportunities for possible implementation in the man...
This research is focused on the application of Six Sigma-DMAIC (SS-DMAIC) technique to monitor the changing distribution of process capabilities in a cable manufacturing company for better operational performance. Most cable manufacturing organizations (CMOs) focus on classical methods and often pay less attention to inventive techniques for system...
This paper aims to demonstrate an effective approach for improving process reliability within a flexible packaging manufacturing organization. As the need for efficient industrial processes grows globally, industries tend to seek robust methodologies to chart their path to business excellence in terms of quality products and services. This research...
Processes in manufacturing and service organizations are regularly improved upon for better operational performance. Six Sigma is one of the management philosophies required to achieve improved quality and process performance in systems. Consequently, this study aims to investigate the existing literature that focused on Six Sigma philosophies in p...
This paper describes the development of a modular unmanned aerial vehicle for the
detection and eradication of weeds on farmland. Precision agriculture entails solving the problem of poor agricultural yield due to competition for nutrients by weeds and provides a faster approach to eliminating the problematic weeds using emerging technologies. This...
Purpose
This study aims to comparatively discuss the effect of lean manufacturing (LM) implementation in the manufacturing sectors of developing and developed countries.
Design/methodology/approach
An in-depth literature review focused on previous research published between 2015 and March 2020. The papers published by the databases such as Google...
Over the last decade, the increase in urban population as a result of continuous migration from rural to urban part of the country has led to availability of more vehicles on the road causing serious traffic bottlenecks, which is a big challenge in our society today. This study aims to develop an algorithm based on signalized traffic control system...
Biogas from anaerobic digestion of biomass is one of the potential renewable energy sources been considered for adoption in sub-Saharan Africa. Unfortunately, the issue of sustainability of feedstock supply in the biomass to biogas conversion system has been reported as one of the major factors militating against the adoption. Sometimes this challe...
Over the last decade, the increase in urban population due to continuous migration from rural to urban parts of a country has led to the availability of more vehicles on the road, causing severe traffic bottlenecks, which is a big challenge in our society today. This study aims to develop an algorithm based on the signalized traffic control system...
Traffic congestion is a prevailing problem globally,
which threatens the wider community, especially in developing
countries. The Markov chain model (MCM) is a widely
acknowledged and applied method used in traffic modelling,
planning, and road traffic control systems. Classical techniques
like MCM have been used to reduce vehicular flow and traffi...
This paper aims to demonstrate an effective approach for improving process reliability within a flexible packaging manufacturing organization. As the need for efficient industrial processes grows globally, industries tend to seek robust methodologies to chart their path to business excellence in terms of quality products and services. This research...
The purpose of the exploratory research is to ascertain the possibility of improving the quality and quantity of biogas yield from anaerobic digestion of elephant grass (pennisetum purpureum), which has been considered a potential alternative to cow dung, using Liquid extract from plantain (Musa paradisiacal normalis) pseudo stem. The concept of co...
This research is focused on the intelligent foraging behaviour of honeybees by designing the ABC algorithm or distributed problem-solving mechanism. A swarm-based metaheuristic algorithm was applied to investigate the effectiveness of product sales in a multipurpose shopping complex by using dataset from a retail outlet in Delta State. The algorith...