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Engineering Management Dissertation Topics

Published by Carmen Troy at January 9th, 2023 , Revised On April 16, 2024

Introduction 

Dissertation writing is an extremely important academic task that all students must complete as part of their degree programmes. However, choosing a dissertation topic can be an extremely daunting challenge for most students because they could be unsure about the area of research they should pursue.

The dissertation starts with an idea upon which research is performed. The idea is then transformed into an academic concept by presenting arguments and evidence. It should be noted that a well-written dissertation addresses the research topic  at all levels and is written concisely.

The  research methodology chapter  of a  dissertation  presents complete evidence of the research work performed in the form of data collection/analysis methods employed by the researcher. However, many students do not know where to start.

To help you get started with brainstorming for engineering management topic ideas, we have developed a list of the latest topics that can be used for writing your engineering management dissertation.

These topics have been developed by PhD qualified  writers of our team , so you can trust to use these topics for drafting your dissertation.

You may also want to start your dissertation by requesting  a brief research proposal  from our writers on any of these topics, which includes an  introduction  to the problem,  research questions , aim and objectives ,  literature review  along with the proposed  methodology  of research to be conducted.  Let us know  if you need any help in getting started.

Check our  example dissertations  to get an idea of  how to structure your dissertation .

You can review step by step guide on how to write your dissertation  here.

View our free dissertation topics database.

2024 Engineering Management Dissertation Topics

Topic 1: what are the environmental impacts of water waste treatment of cement industry in south korea.

Research Aim: This study aims to find the environmental impacts of water waste treatment of the cement industry in South Korea. With the help of a comprehensive survey across the cement manufacturing companies in South Korea, this study will first scrutinize the entire waste treatment process in the cement industry in South Korea. Then it will analyze the impact of each step on the environment. And after analyzing find the environmental effects of the water waste treatment of the cement industry in South Korea, this study will recommend modern ways to reduce the adverse effects.

Topic 2: An investigation of the challenges faced by the business in leading themselves towards environmental sustainability due to global value chains and how the businesses mitigate such challenges - A case of Nigerian SME.

Research Aim: The significant aim of this research study is to uncover the issues and challenges faced by multiple businesses while implementing environmental sustainability and growth as a result of the global value chain. Another objective of this research topic is to investigate the sustainable strategies through which businesses mitigate the identified challenges of the global value chain by targeting Nigerian small and medium companies as a case study.

Topic 3: What are the modern water treatment techniques to minimize the environmental effects of water waste in the Cement Industry? A Cross-Country analysis

Research Aim: This study aims to identify the modern water treatment techniques to minimize the environmental effects of water waste in the Cement Industry. A cross-country study will analyze the different water treatment techniques used by the cement industries in different countries. The best way to conduct this analysis is through comparing developed and developing countries. And after identifying the best techniques, this study will recommend the optimal methods that can be used around the world in any country.

Topic 4: An innovative strategic evaluation of university knowledge and technology transfer efficacy for students up to date on new engineering tools.

Research Aim: This study aims to analyse the framework that organises total project work based on high levels of creativity in project development, as well as to keep students up to date with the usage of technology; focusing on collecting data from different firms that have utilized the technology to manufacture items and run highly creative initiative in collaboration with the university.

Topic 5: Investigating the strategies used to reduce water pollution caused by the maritime transportation system.

Research Aim: The main goal of this study is to investigate the strategies for reducing water pollution produced by the marine transportation sector/industry.  This study will also analyse the environmental risks posed by water contamination and how marine transportation contributes to the increase in water pollution. Focusing on the economic cost of restoring the damage as a result of marine pollution will also help us learn about the environmental effects of water pollution and understand how to reduce water pollution by different methods and technologies used by management.

Covid-19 Engineering Management Research Topics

Topic 1: impact of covid-19 on engineering institutes.

Research Aim: This study will focus on identifying the impacts of coronavirus on engineering institutes and discuss possible solutions to overcome the challenges.

Topic 2: Role of engineering management during Covid-19

Research Aim: The study will focus on identifying the contribution of engineering management to combat the coronavirus pandemic. It will discuss emergency management to prevent and diagnose COVID-19, including its advantages and disadvantages.

More Engineering Management Dissertation Topics for 2024

Topic 1: developing an integrated water management model to reduce water wastage: a case study of developing countries.

Research Aim: This research will focus on the ecological and environmental influences that can be caused by water wastage while developing an effective model that can be utilised for effective water management to reduce the wastage of water. This research will focus on real-life scenarios of water management occurring in developing nations while recommending major changes in their existing water management system.

Find 100s of dissertation topics for other research areas.

Topic 2: Critical analysis of alternative energy in the least developed countries: The emergence of solar power as a means of providing electricity

Research Aim: The major purpose of this study will lie in transforming conventional means of energy to solar energy and its importance in the least developed countries. The researcher will carry out a detailed critical analysis of what pros and cons can emerge due to the utilisation of alternative energy solutions and how least developed countries can use solar energy systems instead of traditional energy systems keeping in mind the cost and other benefits.

Topic 3: Assessing the impact of biogas emission on quality of life and health of individuals living in rural areas: A case study of developing countries.

Research Aim: In this study, the main aim of the researcher will be to analyse major health and other effects that can be caused due to the emission of biogas. The researcher will demonstrate the major risks to the quality of life of individuals living in rural areas of developing nations and what measures can be taken which reduce the effects of biogas emission on the quality and health of the individuals.

Topic 4: Challenges facing the concept of sustainable and green engineering

Research Aim: This research study will aim to identify challenges facing the concept of sustainable and green engineering. The environment of the world is deteriorating at an alarming pace, primarily because of industrial activities that result in carbon emissions. This project will enable readers to understand the advantages of green engineering over conventional engineering and identify why this concept has not been implemented on a wider scale.

How Can ResearchProspect Help?

ResearchProspect writers can send several custom topic ideas to your email address. Once you have chosen a topic that suits your needs and interests, you can order for our dissertation outline service which will include a brief introduction to the topic, research questions , literature review , methodology , expected results , and conclusion . The dissertation outline will enable you to review the quality of our work before placing the order for our full dissertation writing service!

More Engineering Management Dissertation Topics

Some other interesting  engineering management dissertation topics  are listed below:

• Ensuring Smooth Process Improvement by Conducting Management of Chain
• The Development of a Project Management Methodology for Peace Corps Mauritania
• Determination of the Critical Activities of a Public-private Intermediary Organization with the Help of Value Chain Analysis
• Customer Relationship Management
• Investigating the Management of Uncertainty in Product Platform Lifecycles
• Study of the Performance and Characteristics of U.S. Academic Research Institution Technology Commercialization (ARITC)
• Examining Health Information Technology Implementations: Case of the Patient-Centered Medical Home
• Strategic Evaluation of University Knowledge and Technology Transfer Effectiveness
• Proposing a Strategic Policy Model for International Collaboration in Technology and Science to Bridge the Gap between “Bottom-up” and Top-Down.
• Use of Multiple Hierarchical and Perspectives Decision Modelling to Assess Solar Photovoltaic Technologies
• Innovation Intermediaries and the Impact of Social Capital
• Innovation Measurement: Determining Creativeness of an Organisation through Decision Framework
• Performance of National Laboratories and the Impact of Knowledge Inflows
• Proposing a Strategic Policy Choice Framework for Technological Innovation: Case of Chinese Pharmaceuticals
• Use of Cognitive Map based Scenarios to Extend Technology Roadmap: The Case of Wind Energy Sector in India
• Integrating Financial Performance, Green Innovativeness and Environmental Performance
• Exploring Capability Maturity Models and Relevant Practices as Solutions Addressing IT Service Offshoring Project Issues
• Decision Modelling for the Information and Communications Technology Sector and Participation in Technology Standards Development
• Energy Policies to Employ Renewable Energy Resources; Case of Wind Energy in the UK
• Technological Forecasting Based on Segmented Rate of Change
• Sustainability Managing a Project Team
• Risks Associated with Management of Engineering Projects
• Supporting Business Strategies through Identification of Process Improvement Plans
• Motivating Staff through Efficient Supply Chain Management
• Improving Efficiency of an Organisation with Leadership

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Important Notes:

As an engineering management student looking to get good grades, it is essential to develop new ideas and experiment on existing engineering management theories – i.e., to add value and interest in your research topic.

The field of engineering management is vast and interrelated to so many other academic disciplines like civil engineering ,  construction ,  law ,  healthcare , mental health , artificial intelligence , tourism , physiotherapy , sociology , management , marketing and nursing . That is why it is imperative to create a project management dissertation topic that is articular, sound, and actually solves a practical problem that may be rampant in the field.

We can’t stress how important it is to develop a logical research topic; it is the basis of your entire research. There are several significant downfalls to getting your topic wrong; your supervisor may not be interested in working on it, the topic has no academic creditability, the research may not make logical sense, there is a possibility that the study is not viable.

This impacts your time and efforts in  writing your dissertation  as you may end up in the cycle of rejection at the very initial stage of the dissertation. That is why we recommend reviewing existing research to develop a topic, taking advice from your supervisor, and even asking for help in this particular stage of your dissertation.

While developing a research topic, keeping our advice in mind will allow you to pick one of the best engineering management dissertation topics that fulfil your requirement of writing a research paper and add to the body of knowledge.

Therefore, it is recommended that when finalizing your dissertation topic, you read recently published literature to identify gaps in the research that you may help fill.

Remember- dissertation topics need to be unique, solve an identified problem, be logical, and be practically implemented. Take a look at some of our sample engineering management dissertation topics to get an idea for your own dissertation.

How to Structure your Engineering Management Dissertation

A well-structured   dissertation can help students   to achieve a high overall academic grade.

• A Title Page
• Acknowledgements
• Declaration
• Abstract: A summary of the research completed
• Table of Contents
• Introduction : This chapter includes the project rationale, research background, key research aims and objectives, and the research problems to be addressed. An outline of the structure of a dissertation  can also be added to this chapter.
• Literature Review :  This chapter presents relevant theories and frameworks by analysing published and unpublished literature available on the chosen research topic, in light of  research questions  to be addressed. The purpose is to highlight and discuss the relative weaknesses and strengths of the selected research area whilst identifying any research gaps. Break down of the topic, and key terms can have a positive impact on your dissertation and your tutor.
• Methodology:  The  data collection  and  analysis  methods and techniques employed by the researcher are presented in the Methodology chapter which usually includes  research design,  research philosophy, research limitations, code of conduct, ethical consideration, data collection methods and  data analysis strategy .
• Findings and Analysis:  Findings of the research are analysed in detail under the Findings and Analysis chapter. All key findings/results are outlined in this chapter without interpreting the data or drawing any conclusions. It can be useful to include  graphs , charts and   tables in this chapter to identify meaningful trends and relationships.
• Discussion  and  Conclusion: The researcher presents his interpretation of results in this chapter, and state whether the research hypothesis has been verified or not. An essential aspect of this section of the paper is to draw a linkage between the results and evidence from the literature. Recommendations with regards to implications of the findings and directions for the future may also be provided. Finally, a summary of the overall research, along with final judgments, opinions, and comments, must be included in the form of suggestions for improvement.
• References:  This should be completed in accordance with your University’s requirements
• Bibliography
• Appendices:  Any additional information, diagrams, graphs that were used to  complete the  dissertation  but not part of the dissertation should be included in the Appendices chapter. Essentially, the purpose is to expand the information/data.

About ResearchProspect Ltd

ResearchProspect is a  UK based academic writing service that provides help with  Dissertation Proposal Writing ,  PhD Proposal Writing ,  Dissertation Writing ,  Dissertation Editing and Improvement .

For further assistance with your dissertation, take a look at our full dissertation writing service .

Our team of writers is highly qualified. They are experts in their respective fields. They have been working in the industry for a long time, thus are aware of the issues and trends of the industry they are working in.

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Engineering management simply refers to the management of all engineering aspects. It combines technology and organization to optimise engineering and overcome its limitations. Research in this field is crucial for improving engineering's potential. Thus, researchers and students must look for quality engineering management dissertation topics .

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Premier Dissertations has prepared a list of dissertation topics in engineering management for 2024.  

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How to find and shortlist workable dissertation topics for an engineering management dissertation.

Finding good topics for engineering dissertations can be difficult. This is because engineering management courses can be complicated. You might want to look at some examples of engineering management dissertations to get an idea. But the most important thing is to find a good topic before you start.

The important questions that students can ask at the start of this module are;

• What are the thesis topics for engineering management that I work with?
• Are there any engineering management thesis topics that my supervisor would be interested in?
• Do I need any engineering management dissertation help at this stage?

Once you have shortlisted dissertation topics for engineering management, you can share them with your supervisor and they can help you choose the best one.

Importance of Selecting a Good Engineering Management Dissertation Topic

Engineering management combines business and technical skills to manage engineering projects. Graduates take up key managerial roles in the industry with high salaries and benefits. It is one of the top eight highest-paying master's degree programs due to the increased demand for qualified engineering managers. Regardless of the reason for entering this field of study, it is required in both master's and PhD programs to submit an engineering management research proposal to supervisors to be considered for admission.

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Engineering Management Review

Welcome to ieee engineering management review (emr).

IEEE EMR is a premier outlet for the research and practice of engineering, technology, and innovation management, with a tradition of more than fifty years of publishing. EMR has built a reputation for high-quality, evidence-based practice-oriented publications.

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Engineering Management: A Comprehensive Review of Challenges, Trends, and Best Practices

Journal of Engineering Education and Pedagogy

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Performance of engineering design and development projects depends on myriad factors, creating challenges in implementation and management. These are compounded by potential for high variation across contexts. This work investigates influencers upon performance and contextual variation through relationship between real industry issues and factors that influence project performance. Through survey, interview, and network analysis, issue-causing groups of features in each specific case are identified and compared. The results find a majority of issues arising from person-centric sources. They also identify both discrete groups of issues with narrow source and influence, and with broad ties across the project context; forms which may stem from conditions of the scenario. Finally, they show similarity in the influences on performance across contexts with a caveat that, while the influential area remains, the structure to be taken within may vary. General analysis clarifies performance in engineering and highlights those areas in which support-system development is of most use, and specific analysis gives areas in which industry managers should focus for best benefit to the project.

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IEEE Engineering Management Newsletter

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Malkinson, T.J. Editor-in-Chief, Engineering Management. 54(4) 16-pages, 2004. The IEEE Engineering Management Society was founded in 1951 and in 2015 was transitioned to the Technology and Engineering Management Society (TEMS). < www.ieee-tems.org >. TEMS mission is to support excellence in the leadership and stewardship of transformational technologies and organizations. TEMS encompasses best practices for defining, implementing, and managing engineering, as well as the advancement of technology management as a professional discipline. TEMS is one of over 39 IEEE technical societies and has a membership of over 4,000 people worldwide. This series of twenty posts comprise the 16-page Engineering Management Quarterly Newsletters for volumes 53-57 (2003-2007) as edited by Terrance Malkinson. It is provided as a tribute and expression of appreciation to the many TEMS members who contributed to the newsletters over the four years of my editorship. This archival issue of Engineering Management provides information on EMS Awards, IEMC 2004 Conference Report, a feature article by R.K. Vir “Enhancing the Role of Industry in IEEE”, Chapter Reports, and a feature article by Terrance Malkinson “Global Water Policy”.

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Abstract The beginning of the 21st century is witnessing an awareness that the civil engineering industry has become a global industry. The rapid increase in foreign ownership of firms in the United States together with the globalization of economic markets is reminding civil engineering professionals that they must be aware of global events before they impact local operating conditions.

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Frontiers of Engineering Management

Frontiers of Engineering Management (FEM) , supervised by the Chinese Academy of Engineering, is an international scholarly journal for researchers and industry leaders active in cutting-edge management in all engineering specialties. The journal publishes articles on contemporary issues, both theory- and practice-oriented, in critical areas of engineering management, which

• Advance the frontiers of knowledge and technology in engineering management.
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Research in MS&E spans a broad intellectual spectrum, and our work often involves cross-disciplinary integrations across areas of the department and Stanford as a whole.

MS&E students and faculty work within and across these research areas:

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The design and operation of networks requires technical concepts such as information theory, algorithms, and optimization, but also depends on economic, social, and even political factors.

One example is the concept of net neutrality, in which infrastructure providers seeking to recoup their investments by charging differently based on bandwidth consumption come into conflict with users who oppose making economic distinctions related to information content. The department has deep expertise in all facets of these and other problems of technology implementation and usage in the real world.

The Society & Algorithms Lab (SOAL) combines computer science and algorithms with social science and economics in response to two recent trends: the rise of more powerful information technology and algorithms, and an increase in networked social and economic interactions.

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MS&E Professor Ron Howard pioneered the field of decision analysis starting in 1964. And MS&E continues to lead in the field today.

Although many people make personal decisions instinctively and haphazardly, a more serious approach essential for management is to analyze the problem as a three-legged structure of preferences, alternatives, and available information in the context of a frame.

The mission of the Engineering Risk Research Group (ERRG) , led by department Professor M. Elisabeth Pate-Cornell, is the analysis, mathematical modeling, and management of the safety of engineering systems using probabilistic methods and systems analysis. Recently, the members of the ERRG have extended the application of these methods to the domains of medical operations and devices, national security, and the strategy of firms in the financial industry with the objective of identifying the most cost-effective risk-reduction measures within these complex systems. Technical, organizational, and strategic solutions are considered, and decision analysis is often used to make the final choice among a spectrum of risk-mitigation options.

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Research focuses on developing and applying analytical, computational, and economic tools to address a wide variety of problems in business, government, and society.

The area is characterized by its mathematical depth, broad applicability, and interdisciplinary nature and has a particular emphasis in developing and applying models and algorithms to gain new insights and make better decisions across multiple domains.

Operations research is distinguished by its combination of foundational methodological research with applications and translation to practice.  The methodological foundations of operations research include: linear and nonlinear optimization; applied probability and stochastic modeling; simulation; statistical methodology; algorithms; dynamic programming and reinforcement learning; and game theory, market design, and microeconomic theory.  Research in this area often combines ideas across these methodological foundations to develop new techniques that are matched to emerging needs driven by applications; for example, many modern advances in machine learning are driven by advances at the interface of optimization, algorithms, and stochastic analysis, and a rich frontier in market design involves the interface of computational and economic theories.

In turn, these methodological foundations have significant impact on practice.  Faculty in operations research have consistently contributed to both methodological innovation, and instantiation of those methodological innovations in applied domains.  Interaction with applications further inspires novel frontiers for methodological research.  Significant areas of application include: school choice; design of kidney exchanges; design of pricing and matching algorithms for online platforms; operations management for health care; computational methods for social choice and collective decision-making; analysis and control of epidemics; and energy efficient management of buildings.

Research activities in the  operations research group  are broad and extensive. They include projects in optimization, stochastics, operations management, reinforcement learning, algorithms, market design and more.

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Research spans the study of technical work, technology's effects on individuals and teams, the formation and growth of entrepreneurial firms, and strategy and innovation in technology-based firms.

Some projects examine the role of technology in the work of engineers, including the interplay between workplace technologies and engineering knowledge, on-the-job learning, problem-solving, and coordination. Other research investigates the dynamics of globally distributed work teams, the implications of contracting and outsourcing, human-robot interaction in the workplace, and evidence-based management.

At the firm-level, research examines how entrepreneurial firms gain financing, build alliance networks, and grow. Other investigations center on established firms, including creating successful R&D collaborations across businesses, effectively competing against other firms, and entering new markets. Researchers also study strategies that enable established organizations to discover, develop, and commercialize technologies.

The department is home to premier teaching programs in these areas including Stanford Technology Ventures Program (STVP) and the Center for Work, Technology and Organizations (WTO) , a world-class center dedicated to understanding how work is changing and how to design more effective organizations and technologies.

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Research and teaching in this area focus on the design and analysis of public policies and corporate strategies, especially those with technology-based issues.  Sub-areas include Energy and Environment, Health Systems Modeling and Policy, and National Security Policy

It features a grounding in microeconomics and modeling approaches. Courses with a policy focus include such topics such as national security, energy and environment, and health care. Courses with a strategy focus cover topics such as entrepreneurship, innovation, and product development.

The Energy Modeling Forum (EMF) seeks to improve the use of energy and environmental policy models for making important corporate and government decisions. Systems Utilization Research For Stanford Medicine (SURF Stanford Medicine) facilitates the delivery of world class advances in medical care through world class advances in hospital operations.

Quantitative Finance

Research and teaching in the department cover a range of topics including investments, economic growth, natural resources and energy, entrepreneurship, and microeconomics.

Through systematic analysis and application of sophisticated mathematical tools, engineers make vital contributions to understanding commodities, credit, currencies, derivatives, equities, pricing, profits, resources, and other core economic and financial concepts.

The  Advanced Financial Technologies Laboratory  at Stanford University pioneers financial models, statistical tools, computational algorithms, and software to address the challenges that arise in this context. Faculty and doctoral students of AFT combine expertise in core areas such as stochastics, optimization, data science, and networks and algorithms with a deep understanding of financial markets and institutions to make fundamental advances of broad relevance.

Engineering Management

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Planning and Completing your Research

• Building your Research Confidence This guide contains information concerning the research process including completing a literature review.

What is a Literature Review?

The literature review surveys and evaluates the relevant and related scholarship on a particular area of research or issue. It summarizes and evaluates the discussions and debate surrounding the topic, noting limitations, interpretations and approaches that support and establish the significance of your argument, research or methodology.  

• Presents a justification for your paper/research: show how your work fills a gap, or fulfills a need that has been identified by other researchers in the field.
• Informs your methodology
• Provides data that can be used to test your theories or results.
• Helps generate a new theory.

The Process

Engineering: The Literature Research Process (Arizona State University)

Literature Review Process (Case Western)

Types of Research (MBA Knowledge Base)

Types of Literature Reviews  (Univ. of Alabama Libraries)

Choosing a topic (Eastern University)

5 Quick Tips- Writing a Literature Review

How to search

Database Searching Guide: Basic Search Tools (Columbia University)

Internet and Database Searching (Excelsior College Online Writing Lab)

Boolean (and,or,not) Searching MIT Libraries

Evaluate what you find

Literature evaluation and analysis (Case Western)

Evaluating Information tip sheet (University of Wisconsin)

Synthesizing the literature (Case Western)

• Literature Review Process: Question Prompts to Gide Graduate Research Projects/ Farooq, Omer

Online Tutorials

Searching the literature:

There are many online videos and other sources which discuss conducting an effective literature review.  The following links are to selected sources.  

• Literature Reviews: An Overview for Graduate Students (North Carolina State University)
• Writing the Literature Review (University of Maryland) [video]
• Writing a Literature Review (UNL)
• Construction Dissertation Guide
• The Literature Review: A Few Tips On Conducting It (University of Toronto)
• Writing a Literature Review (Boston College)
• T hesis Writing - Reviewing the Literature (University of Wollongong)
• Writing Engineering Reports (Purdue)
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Top 150 Mechanical Engineering Research Topics [Updated]

Mechanical engineering is an intriguing discipline that holds significant sway in shaping our world. With a focus on crafting inventive machinery and fostering sustainable energy initiatives, mechanical engineers stand as pioneers in driving technological progress. However, to make meaningful contributions to the field, researchers must carefully choose their topics of study. In this blog, we’ll delve into various mechanical engineering research topics, ranging from fundamental principles to emerging trends and interdisciplinary applications.

How to Select Mechanical Engineering Research Topics?

Table of Contents

Selecting the right mechanical engineering research topics is crucial for driving impactful innovation and addressing pressing challenges. Here’s a step-by-step guide to help you choose the best research topics:

• Identify Your Interests: Start by considering your passions and areas of expertise within mechanical engineering. What topics excite you the most? Choosing a subject that aligns with your interests will keep you motivated throughout the research process.
• Assess Current Trends: Stay updated on the latest developments and trends in mechanical engineering. Look for emerging technologies, pressing industry challenges, and areas with significant research gaps. These trends can guide you towards relevant and timely research topics.
• Conduct Literature Review: Dive into existing literature and research papers within your field of interest. Identify gaps in knowledge, unanswered questions, or areas that warrant further investigation. Building upon existing research can lead to more impactful contributions to the field.
• Consider Practical Applications: Evaluate the practical implications of potential research topics. How will your research address real-world problems or benefit society? Choosing topics with tangible applications can increase the relevance and impact of your research outcomes.
• Consult with Advisors and Peers: Seek guidance from experienced mentors, advisors, or peers in the field of mechanical engineering. Discuss your research interests and potential topics with them to gain valuable insights and feedback. Their expertise can help you refine your ideas and select the most promising topics.
• Define Research Objectives: Clearly define the objectives and scope of your research. What specific questions do you aim to answer or problems do you intend to solve? Establishing clear research goals will guide your topic selection process and keep your project focused.
• Consider Resources and Constraints: Take into account the resources, expertise, and time available for your research. Choose topics that are feasible within your constraints and align with your available resources. Balancing ambition with practicality is essential for successful research endeavors.
• Brainstorm and Narrow Down Options: Generate a list of potential research topics through brainstorming and exploration. Narrow down your options based on criteria such as relevance, feasibility, and alignment with your interests and goals. Choose the most promising topics that offer ample opportunities for exploration and discovery.
• Seek Feedback and Refinement: Once you’ve identified potential research topics, seek feedback from colleagues, advisors, or experts in the field. Refine your ideas based on their input and suggestions. Iteratively refining your topic selection process will lead to a more robust and well-defined research proposal.
• Stay Flexible and Open-Minded: Remain open to new ideas and opportunities as you progress through the research process. Be willing to adjust your research topic or direction based on new insights, challenges, or discoveries. Flexibility and adaptability are key qualities for successful research endeavors in mechanical engineering.

By following these steps and considering various factors, you can effectively select mechanical engineering research topics that align with your interests, goals, and the needs of the field.

Top 50 Mechanical Engineering Research Topics For Beginners

• Analysis of the efficiency of different heat exchanger designs.
• Optimization of airfoil shapes for enhanced aerodynamic performance.
• Investigation of renewable energy harvesting using piezoelectric materials.
• Development of smart materials for adaptive structures in aerospace applications.
• Study of vibration damping techniques for improving vehicle ride comfort.
• Design and optimization of suspension systems for off-road vehicles.
• Analysis of fluid flow characteristics in microchannels for cooling electronics.
• Evaluation of the performance of different brake systems in automotive vehicles.
• Development of lightweight materials for automotive and aerospace industries.
• Investigation of the effects of friction stir welding parameters on joint properties.
• Design and testing of a small-scale wind turbine for rural electrification.
• Study of the dynamics of flexible multibody systems in robotics.
• Development of a low-cost prosthetic limb using 3D printing technology.
• Analysis of heat transfer in electronic packaging for thermal management.
• Investigation of energy harvesting from vehicle suspension systems.
• Design and optimization of heat sinks for electronic cooling applications.
• Study of material degradation in composite structures under various loading conditions.
• Development of bio-inspired robotic mechanisms for locomotion.
• Investigation of the performance of regenerative braking systems in electric vehicles.
• Design and analysis of an autonomous agricultural robot for crop monitoring.
• Optimization of gas turbine blade profiles for improved efficiency.
• Study of the aerodynamics of animal-inspired flying robots (bio-drones).
• Development of advanced control algorithms for robotic manipulators.
• Analysis of wear mechanisms in mechanical components under different operating conditions.
• Investigation of the efficiency of solar water heating systems.
• Design and optimization of microfluidic devices for biomedical applications.
• Study of the effects of additive manufacturing parameters on part quality.
• Development of assistive devices for individuals with disabilities.
• Analysis of the performance of different types of bearings in rotating machinery.
• Investigation of the feasibility of using shape memory alloys in actuator systems.
• Design and optimization of a compact heat exchanger for space applications.
• Study of the effects of surface roughness on friction and wear in sliding contacts.
• Development of energy-efficient HVAC systems for buildings.
• Analysis of the performance of different types of fuel cells for power generation.
• Investigation of the feasibility of using biofuels in internal combustion engines.
• Design and testing of a micro-scale combustion engine for portable power generation.
• Study of the mechanics of soft materials for biomedical applications.
• Development of exoskeletons for rehabilitation and assistance in mobility.
• Analysis of the effects of vehicle aerodynamics on fuel consumption.
• Investigation of the potential of ocean wave energy harvesting technologies.
• Design and optimization of energy-efficient refrigeration systems.
• Study of the dynamics of flexible structures subjected to dynamic loads.
• Development of sensors and actuators for structural health monitoring.
• Analysis of the performance of different cooling techniques in electronics.
• Investigation of the potential of hydrogen fuel cells for automotive applications.
• Design and testing of a small-scale hydroelectric power generator.
• Study of the mechanics of cellular materials for impact absorption.
• Development of unmanned aerial vehicles (drones) for environmental monitoring.
• Analysis of the efficiency of different propulsion systems in space exploration.
• Investigation of the potential of micro-scale energy harvesting technologies for powering wireless sensors.

Top 50 Mechanical Engineering Research Topics For Intermediate

• Optimization of heat exchanger designs for enhanced energy efficiency.
• Investigating the effects of surface roughness on fluid flow in microchannels.
• Development of lightweight materials for automotive applications.
• Modeling and simulation of combustion processes in internal combustion engines.
• Design and analysis of novel wind turbine blade configurations.
• Study of advanced control strategies for unmanned aerial vehicles (UAVs).
• Analysis of wear and friction in mechanical components under varying operating conditions.
• Investigation of thermal management techniques for high-power electronic devices.
• Development of smart materials for shape memory alloys in actuator applications.
• Design and fabrication of microelectromechanical systems (MEMS) for biomedical applications.
• Optimization of additive manufacturing processes for metal 3D printing.
• Study of fluid-structure interaction in flexible marine structures.
• Analysis of fatigue behavior in composite materials for aerospace applications.
• Development of energy harvesting technologies for sustainable power generation.
• Investigation of bio-inspired robotics for locomotion in challenging environments.
• Study of human factors in the design of ergonomic workstations.
• Design and control of soft robots for delicate manipulation tasks.
• Development of advanced sensor technologies for condition monitoring in rotating machinery.
• Analysis of aerodynamic performance in hypersonic flight vehicles.
• Study of regenerative braking systems for electric vehicles.
• Optimization of cooling systems for high-performance computing (HPC) applications.
• Investigation of fluid dynamics in microfluidic devices for lab-on-a-chip applications.
• Design and optimization of passive and active vibration control systems.
• Analysis of heat transfer mechanisms in nanofluids for thermal management.
• Development of energy-efficient HVAC (heating, ventilation, and air conditioning) systems.
• Study of biomimetic design principles for robotic grippers and manipulators.
• Investigation of hydrodynamic performance in marine propeller designs.
• Development of autonomous agricultural robots for precision farming.
• Analysis of wind-induced vibrations in tall buildings and bridges.
• Optimization of material properties for additive manufacturing of aerospace components.
• Study of renewable energy integration in smart grid systems.
• Investigation of fracture mechanics in brittle materials for structural integrity assessment.
• Development of wearable sensors for human motion tracking and biomechanical analysis.
• Analysis of combustion instability in gas turbine engines.
• Optimization of thermal insulation materials for building energy efficiency.
• Study of fluid-structure interaction in flexible wing designs for unmanned aerial vehicles.
• Investigation of heat transfer enhancement techniques in heat exchanger surfaces.
• Development of microscale actuators for micro-robotic systems.
• Analysis of energy storage technologies for grid-scale applications.
• Optimization of manufacturing processes for lightweight automotive structures.
• Study of tribological behavior in lubricated mechanical systems.
• Investigation of fault detection and diagnosis techniques for industrial machinery.
• Development of biodegradable materials for sustainable packaging applications.
• Analysis of heat transfer in porous media for thermal energy storage.
• Optimization of control strategies for robotic manipulation tasks in uncertain environments.
• Study of fluid dynamics in fuel cell systems for renewable energy conversion.
• Investigation of fatigue crack propagation in metallic alloys.
• Development of energy-efficient propulsion systems for unmanned underwater vehicles (UUVs).
• Analysis of airflow patterns in natural ventilation systems for buildings.
• Optimization of material selection for additive manufacturing of biomedical implants.

Top 50 Mechanical Engineering Research Topics For Advanced

• Development of advanced materials for high-temperature applications
• Optimization of heat exchanger design using computational fluid dynamics (CFD)
• Control strategies for enhancing the performance of micro-scale heat transfer devices
• Multi-physics modeling and simulation of thermoelastic damping in MEMS/NEMS devices
• Design and analysis of next-generation turbofan engines for aircraft propulsion
• Investigation of advanced cooling techniques for electronic devices in harsh environments
• Development of novel nanomaterials for efficient energy conversion and storage
• Optimization of piezoelectric energy harvesting systems for powering wireless sensor networks
• Investigation of microscale heat transfer phenomena in advanced cooling technologies
• Design and optimization of advanced composite materials for aerospace applications
• Development of bio-inspired materials for impact-resistant structures
• Exploration of advanced manufacturing techniques for producing complex geometries in aerospace components
• Integration of artificial intelligence algorithms for predictive maintenance in rotating machinery
• Design and optimization of advanced robotics systems for industrial automation
• Investigation of friction and wear behavior in advanced lubricants for high-speed applications
• Development of smart materials for adaptive structures and morphing aircraft wings
• Exploration of advanced control strategies for active vibration damping in mechanical systems
• Design and analysis of advanced wind turbine blade designs for improved energy capture
• Investigation of thermal management solutions for electric vehicle batteries
• Development of advanced sensors for real-time monitoring of structural health in civil infrastructure
• Optimization of additive manufacturing processes for producing high-performance metallic components
• Investigation of advanced corrosion-resistant coatings for marine applications
• Design and analysis of advanced hydraulic systems for heavy-duty machinery
• Exploration of advanced filtration technologies for water purification and wastewater treatment
• Development of advanced prosthetic limbs with biomimetic functionalities
• Investigation of microscale fluid flow phenomena in lab-on-a-chip devices for medical diagnostics
• Optimization of heat transfer in microscale heat exchangers for cooling electronics
• Development of advanced energy-efficient HVAC systems for buildings
• Exploration of advanced propulsion systems for space exploration missions
• Investigation of advanced control algorithms for autonomous vehicles in complex environments
• Development of advanced surgical robots for minimally invasive procedures
• Optimization of advanced suspension systems for improving vehicle ride comfort and handling
• Investigation of advanced materials for 3D printing in aerospace manufacturing
• Development of advanced thermal barrier coatings for gas turbine engines
• Exploration of advanced wear-resistant coatings for cutting tools in machining applications
• Investigation of advanced nanofluids for enhanced heat transfer in cooling applications
• Development of advanced biomaterials for tissue engineering and regenerative medicine
• Exploration of advanced actuators for soft robotics applications
• Investigation of advanced energy storage systems for grid-scale applications
• Development of advanced rehabilitation devices for individuals with mobility impairments
• Exploration of advanced materials for earthquake-resistant building structures
• Investigation of advanced aerodynamic concepts for reducing drag and improving fuel efficiency in vehicles
• Development of advanced microelectromechanical systems (MEMS) for biomedical applications
• Exploration of advanced control strategies for unmanned aerial vehicles (UAVs)
• Investigation of advanced materials for lightweight armor systems
• Development of advanced prosthetic interfaces for improving user comfort and functionality
• Exploration of advanced algorithms for autonomous navigation of underwater vehicles
• Investigation of advanced sensors for detecting and monitoring air pollution
• Development of advanced energy harvesting systems for powering wireless sensor networks
• Exploration of advanced concepts for next-generation space propulsion systems.

Mechanical engineering research encompasses a wide range of topics, from fundamental principles to cutting-edge technologies and interdisciplinary applications. By choosing the right mechanical engineering research topics and addressing key challenges, researchers can contribute to advancements in various industries and address pressing global issues. As we look to the future, the possibilities for innovation and discovery in mechanical engineering are endless, offering exciting opportunities to shape a better world for generations to come.

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Engineering Dissertation Topics

A dissertation (or a final year project report) is a comprehensive technical report of the research work carried out. A dissertation must present some new, original concepts that lead to further research. The core area of a dissertation consists of a hypothesis (or a research question) upon which an investigation is conducted and, in most cases, inevitably leads to further research. A dissertation must be focused, concise and must address the research topics at every level. Also, along with research, a dissertation is expected to present complete evidence of research work in the form of research methods. Sometimes it’s hard to even know where to start. Herein, many engineering research areas, currently being sought after in the industry and academia, are suggested, including electronics, sensors technology, environmental engineering, supply chain engineering, computer science engineering, electrical engineering and civil engineering, to help you start your research.

• Electronics and Communication Dissertation Topics

Sensors Technology Dissertation Topics

Environmental engineering dissertation topics, supply chain engineering dissertation topics, supply chain management dissertation topics, computer science engineering dissertation topics, electrical engineering dissertation topics, civil engineering dissertation topics, management related engineering dissertation topics, electronics and communications dissertation topics.

Over the past decade the rise of electronic communication has been revolutionised; it is the fastest growing technology. There are numerous areas of research in this field; however, the most demanding ones are highlighted below.

• Defining the boundaries of electrical signals for current electronics (communication) systems.
• The limitation of fibre optic communication systems and the possibility of further improving their efficiency.
• Developing the embedded communication system for the national grid to optimise energy usage.
• Improvement of inter-symbol interference in optical communications.
• A study of the various forms of errors and the development of an equalisation technique to reduce the error rates in data.
• Gaussian pulse analysis and the improvement of this pulse to reduce errors.
• Realising the potential of RFID in the improvement of supply chain.
• Radiation in integrated circuits and electronic devices.
• Design of high speed communication circuits that effectively cut down signal noise.
• Spectral sensing research for water monitoring applications and frontier science and technology for chemical, biological and radiological defence.
• Nano-structured membranes for preparative purifications of biopharmaceuticals.

The rise of smart technology has been revolutionising sensor technologies, and there is a high demand to make more efficient and compact sensors. The following topics are a few areas that researchers are currently working in to realise further potentials.

• Design and development of a pressure sensor for a solar thermal panel.
• An investigation into wind speed and direction sensors to optimise the operations of wind turbines.
• Utilising MEMS for profiling airflow around large building structures.
• Development of micro sensors to measure oil flow rate in tanks.
• Development and implementation of micro sensors to study pressure of the blood stream.
• Development of sensors to measure heat generated from solar panels.
• Sensing and controlling the intensity of light in LEDs.
• Research and computational simulation of a natural olfactory biosensor.
• Development of glucose biosensors using nanotechnology.

We are living in the age of technology where the driving force is to reduce the environmental impact of engineering products. Many countries have been undertaking projects supporting the environment and aiming to reduce carbon emissions. The following engineering dissertation topics are of utmost interest for researchers in the industry.

• Analysing the impact of aviation industry on the environment and the potential ways to reduce it.
• The environmental cost of the so called green energy, ‘wind energy’.
• An analysis of factors that hinder the realising of cutting-edge technology for reducing carbon emissions from automobiles.
• Design and development of a system for measuring the carbon index of an energy intensive company.
• Process improvement techniques to identify and remove waste in the automotive industry.
• Process mapping techniques to identify bottle necks for supply chain industry.
• A study of compressor operations on a forging site and mapping operations to identify and remove energy waste.
• Improving processes to reduce kWh usage and reduce inefficiencies.
• Developing a compact device to measure energy use for a household.
• In the forging industry how can changing burners within furnaces help organisations achieve energy efficiency?
• How can gas consumption be reduced and efficiency introduced to reduce kWh usage?
• How can voltage reduction devices help organisations achieve efficiency in electricity usage?
• What are carbon credits and how can organisations generate them?
• There are some organisations that use water excessively, with bills totalling more than £25,000. Identify the main reasons for such water usage and investigate better ways to introduce water efficiency and create savings.
• Identify the ways by which efficient control systems using information systems can be introduced to study the energy usage in a machining factory.
• A project to set up ways to measure natural gas flow ultrasonically and identify waste areas.
• How can water conductivity probes help determine water quality and how can water be reused?

Supply chain plays an important role in the manufacturing business sector. It is important that the supply chain is well supported by efficient methods and processes. Your engineering dissertation topics could be about:

• Highlighting the difference between the supply chain engineering and management for a company to improve output.
• Analysing the key factors in process planning and optimisation of supply chain for a manufacturing company.
• Developing a supply chain template for a small but thriving online business.
• How can organisations achieve success by reducing bottlenecks in supply chain?
• Just-in-time – is it really valid? Measurement of losses within just-in-time process implementation.
• How can process efficiency be introduced to reduce waste within the manufacturing process?
• Supplier relationship is an important factor for the success of just-in-time. How can organisations ensure successful transactions?
• Research to identify efficient logistics operations within a supply chain.
• Research to introduce efficiency within information systems and support timely transfer of knowledge and information.
• The effect of globalisation on supply chain engineering/management for large multi-national companies.
• Research studying the impact of culture on supply chain industries: identification of factors that generate inefficiencies with the supply chain.

Supply chain management involves the administration, management, control and supervision of the movement of goods and services from supplier to manufacturer to wholesaler to retailer and to the end consumer. Supply chain management involves coordinating and integrating these elements using an effective and efficient approach and methodology. Supply chain management is important for businesses to ensure there is minimum waste, drive innovation thereby creating integrated value chains. Supply chain management plays an important and central role in the success of a business. Please find a list of topics on supply chain management that may be useful for your engineering dissertation:

• A detailed investigation into the need and use of dynamic staff to determine and rectify supply chain problems with a specific focus on the construction industry.
• Research into eco-friendly and sustainable practices in supply chain management.
• Research to develop a learning organisation and its impact on supply chain management.
• Research to measure and develop intellectual capital within the supply chain industry.
• A detailed study of innovative forecasting and demand planning strategies for supply chain management
• Research study to create measurements to study the impact of learning organisation on performance measurement in supply chain industry
• Impact of training on knowledge performance index within supply chain industry.
• The behaviour of Carbon index with the implementation of a learning organisation.
• Developing a framework for supply chain management in densely populated urban cities
• Detailed investigation and analysis taking into account supply chain and logistical strategies for perishable goods.
• The influence and impact of emerging e-commerce technologies on supply chain management.

Computer science engineering focuses on the key elements of computer programming and networking with a focus on gaining knowledge of the design, implementation and management of information systems. Information systems play a major role in computer science engineering and an integral component to the successful operations of organisations. The management of information technology systems is a major element for organisations. The following could be used for an engineering dissertation as well as a computing dissertation:

• How can organisations ensure that information system is effectively used to maintain process efficiency?
• How can learning organisations influence the development of information systems?
• The role of risk management in information technology systems of organisations.
• Research to identify and reduce e-waste using information technology strategies and systems.
• Current status and research on E-waste in the United Kingdom
• Development of measurement systems to measure e-waste.
• A detailed review of the role of information technology in improving productivity and transforming organisations.
• An investigation into the use of information technology as a tool for sustained competitive advantage.
• A high-level investigation and detailed review into best practices for the implementation of information technology in modern day organisations.

Electrical engineering is focused on the design, development, testing, supervision and the manufacturing of electrical equipment. Electrical engineers design the electrical systems of automobiles, aircrafts, power generation equipment, communications systems, radar and navigational systems. The design and development of these electrical components are key and central to modern day life. There are several topics within this area that you could research for your electrical engineering dissertation:

• Development of a system to study the efficiency of motors in order to reduce kWh usage
• Setting up of a control system to monitor the process usage of compressors.
• Develop a scheme to normalise compressor output to kWh.
• Research to investigate, develop and introduce schemes to ensure efficient energy consumption by electrical machines.
• Research to study transformer losses and reduce energy loss.
• Research to study metering techniques to control and improve efficiency.
• Research to introduce smart metering concepts to ensure efficient use of electricity.
• Integration of smart metering pulsed outputs with wireless area networks and access real-time data.
• Developing effective strategies and methodical systems for pay as you go charging for electric vehicles
• A detailed review and investigation into the key issues and challenges facing rechargeable lithium batteries
• Trends and challenges in electric vehicles technologies
• Smart charging of electric vehicles on the motorway

The main emphasis of civil engineering in recent times is focused on sustainable development of quality, durable structures that deliver value for money, maximise the benefits from innovation and meets the specifications of the end users. Construction of sustainable houses has been a top priority within civil engineering. The following research topics are being actively undertaken and may be a good area for you to base your research on your own engineering dissertation:

• Development of sustainable homes making use of renewable energy sources.
• The use of sustainable materials for construction: design and delivery methods.
• The role of environmental assessment tools in sustainable construction
• The use of warm mix asphalt in road construction
• Research to study properties of concrete to achieve sustainability.
• Development of waste reduction strategy to achieve sustainable concepts
• High-level review of the barriers and drivers for sustainable buildings in developing countries
• Research to study the impact of sustainability concepts on organisational growth and development.
• Sustainable technologies for the building construction industry
• Building Information Modelling in the construction industry
• Research regarding micromechanics of granular materials.
• Research to study and develop water treatment processes.
• Research to set up remote sensing applications to assist in the development of sustainable construction techniques.
• High-level strategies, best practice guidelines and methodologies for sustainable construction.
• State of the art practice for recycling in the construction industry.
• Key factors and risk factors associated with the construction of high rise buildings.
• An investigation into health and safety in the construction industry.

Engineering management is the application of the practice of management to the practice of engineering. Engineering management integrates problem-solving, engineering, technological developments and advancements in organizational structure, administrative, and planning abilities of management in order to oversee the operational performance of complex engineering driven enterprises. These two topics go hand in hand and support each other quite well. It is important that both sides are well balanced. The following research topics could be useful for your engineering dissertation:

• Steps to conduct management of change to ensure smooth process improvement.
• Research to sustainably manage a project team.
• Research to study the management of engineering projects and various risks involved with them.
• Research to identify process improvement plans to support business strategies.
• Efficient supply chain management to ensure and develop key motivational skills within staff members.
• How leadership can help efficiency within a learning organisation.
• Developing an integrated approach to strategic management in organisations.
• Creating and sustaining competitive advantage in engineering organisations.
• Developing frameworks for sustainable assessments taking into account eco-engineering measures.
• The role of engineers in managing development in emerging countries.

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Main research topics - Department of Engineering Management and Enterprise | Faculty of Engineering

Main research topics - department of engineering management and enterprise.

Main research topics of the Department

Entrepreneurship researches, competency measurements, defining development opportunities, Quality management and its relation to organizational culture.  Responsible for the research: Prof. Dr. Edit Szűcs; [email protected]

Investment in human capital, return on education; Labour market investigations, tax burden analysis, Investigating the economic intervention of the state and its impact, Investigating macroeconomic impacts of state involvement. Corporate performance management.  Responsible for the research: Judit T. Kiss PhD.; [email protected]

IT supported Business Process Improvement: Streamlined the business processes, in which we find the technique using various quality processes errors and to specify corrective actions. Examine the grant of the effectiveness of corrective action - simulation and statistical methods. Responsible for the research: István Budai PhD.; [email protected]

Aspects of organizational culture - its impact on innovation, change management, motivation, communication Responsible for the research: Andrea Matkó PhD.; [email protected]

Creating a simulation-based process development tool to produce high quality products Responsible for the research: Balázs Kocsi; [email protected]

The main objective of the research is to find connection between higher education institution’s leadership and competitiveness of institutions. The aim is to explore the competences that a higher education institution should have in order to enhance the organization's competitiveness. Responsible for the research: Tibor Balla; [email protected]

Examination of risk assessment methods used in quality management systems through case studies Responsible for the research: Attila Halczman; [email protected]

Legal culture of rural people. To point out that rural people are not well educated in the world of law, and find solutions to the problem.  Responsible for the research: Noémi Bíró Siposné PhD.; [email protected]

Production system optimization with operation tools and fuzzy logic. Responsible for the research: László Pusztai; [email protected] Shortage of experts and its effects on construction. Responsible for the research: Róbert Sztányi; [email protected]

Intercultural communication and communication skills, in the present day global and social context.

ESP for Environmental Management  Responsible for the research: Kata Anna Váró PhD.; [email protected]

Mapping the eligibility, legal environment, distribution of today’s micro and mobile houses Responsible for the research: Emil Varga; [email protected]

Risk, Risk management, Project risk management, Accounting, Renewable energy risk management Responsible for the research: Tünde Jenei; [email protected]

Current top research projects of the Department  

• EFOP-3.6.1-16-2016-00022 “Debrecen Venture Catapult Program"
• EFOP-3.4.3-16-2016-00021 „A Debreceni Egyetem fejlesztése a felsőfokú oktatás minőségének és hozzáférhetőségének együttes javítása érdekében”
• EFOP-3.4.4-16-2017-00023  "Az mtmi szakokra való bekerülést elősegítő innovatív programok megvalósítása a debreceni egyetem vonzáskörzetében"
• EFOP-3.5.1-16-2017-00007 „Duális képzések fejlesztése a Debreceni Egyetemen (DDE)”

Projects from the last 5 years

• TÁMOP-4.1.1.C-12/KONV-2012-0013 Integrált szervezeti és komplex felső oktatási szolgáltatások, valamint képzések fejlesztése a versenyképes Debreceni Egyetemért (Versenyképes Debreceni Egyetem)
• TÁMOP 4.1.1.C-12/1/KONV Zöld Energia Felsőoktatási Együttműködés.
• TÁMOP 4.1.1.F/2013 Munkaerő-piaci igényeknek megfelelő gyakorlat orientált képzések, szolgáltatások a Debreceni Egyetemen Élelmiszeripar, Gépészet, Informatika, Turisztika és Vendéglátás területén (Munkaalapú tudás a Debreceni Egyetem oktatásában)
• HURO/1101/191/2.2.1  Romanian-Hungarian Research Platform for Smart Materials Project Support  Responsible person: István Budai PhD.; [email protected]

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Fall 2024 CSCI Special Topics Courses

Cloud computing.

Meeting Time: 09:45 AM‑11:00 AM TTh  Instructor: Ali Anwar Course Description: Cloud computing serves many large-scale applications ranging from search engines like Google to social networking websites like Facebook to online stores like Amazon. More recently, cloud computing has emerged as an essential technology to enable emerging fields such as Artificial Intelligence (AI), the Internet of Things (IoT), and Machine Learning. The exponential growth of data availability and demands for security and speed has made the cloud computing paradigm necessary for reliable, financially economical, and scalable computation. The dynamicity and flexibility of Cloud computing have opened up many new forms of deploying applications on infrastructure that cloud service providers offer, such as renting of computation resources and serverless computing.    This course will cover the fundamentals of cloud services management and cloud software development, including but not limited to design patterns, application programming interfaces, and underlying middleware technologies. More specifically, we will cover the topics of cloud computing service models, data centers resource management, task scheduling, resource virtualization, SLAs, cloud security, software defined networks and storage, cloud storage, and programming models. We will also discuss data center design and management strategies, which enable the economic and technological benefits of cloud computing. Lastly, we will study cloud storage concepts like data distribution, durability, consistency, and redundancy. Registration Prerequisites: CS upper div, CompE upper div., EE upper div., EE grad, ITI upper div., Univ. honors student, or dept. permission; no cr for grads in CSci. Complete the following Google form to request a permission number from the instructor ( https://forms.gle/6BvbUwEkBK41tPJ17 ).

CSCI 5980/8980 

Machine learning for healthcare: concepts and applications.

Meeting Time: 11:15 AM‑12:30 PM TTh  Instructor: Yogatheesan Varatharajah Course Description: Machine Learning is transforming healthcare. This course will introduce students to a range of healthcare problems that can be tackled using machine learning, different health data modalities, relevant machine learning paradigms, and the unique challenges presented by healthcare applications. Applications we will cover include risk stratification, disease progression modeling, precision medicine, diagnosis, prognosis, subtype discovery, and improving clinical workflows. We will also cover research topics such as explainability, causality, trust, robustness, and fairness.

Registration Prerequisites: CSCI 5521 or equivalent. Complete the following Google form to request a permission number from the instructor ( https://forms.gle/z8X9pVZfCWMpQQ6o6  ).

Visualization with AI

Meeting Time: 04:00 PM‑05:15 PM TTh  Instructor: Qianwen Wang Course Description: This course aims to investigate how visualization techniques and AI technologies work together to enhance understanding, insights, or outcomes.

This is a seminar style course consisting of lectures, paper presentation, and interactive discussion of the selected papers. Students will also work on a group project where they propose a research idea, survey related studies, and present initial results.

This course will cover the application of visualization to better understand AI models and data, and the use of AI to improve visualization processes. Readings for the course cover papers from the top venues of AI, Visualization, and HCI, topics including AI explainability, reliability, and Human-AI collaboration.    This course is designed for PhD students, Masters students, and advanced undergraduates who want to dig into research.

Registration Prerequisites: Complete the following Google form to request a permission number from the instructor ( https://forms.gle/YTF5EZFUbQRJhHBYA  ). Although the class is primarily intended for PhD students, motivated juniors/seniors and MS students who are interested in this topic are welcome to apply, ensuring they detail their qualifications for the course.

Visualizations for Intelligent AR Systems

Meeting Time: 04:00 PM‑05:15 PM MW  Instructor: Zhu-Tian Chen Course Description: This course aims to explore the role of Data Visualization as a pivotal interface for enhancing human-data and human-AI interactions within Augmented Reality (AR) systems, thereby transforming a broad spectrum of activities in both professional and daily contexts. Structured as a seminar, the course consists of two main components: the theoretical and conceptual foundations delivered through lectures, paper readings, and discussions; and the hands-on experience gained through small assignments and group projects. This class is designed to be highly interactive, and AR devices will be provided to facilitate hands-on learning.    Participants will have the opportunity to experience AR systems, develop cutting-edge AR interfaces, explore AI integration, and apply human-centric design principles. The course is designed to advance students' technical skills in AR and AI, as well as their understanding of how these technologies can be leveraged to enrich human experiences across various domains. Students will be encouraged to create innovative projects with the potential for submission to research conferences.

Registration Prerequisites: Complete the following Google form to request a permission number from the instructor ( https://forms.gle/Y81FGaJivoqMQYtq5 ). Students are expected to have a solid foundation in either data visualization, computer graphics, computer vision, or HCI. Having expertise in all would be perfect! However, a robust interest and eagerness to delve into these subjects can be equally valuable, even though it means you need to learn some basic concepts independently.

Sustainable Computing: A Systems View

Meeting Time: 09:45 AM‑11:00 AM  Instructor: Abhishek Chandra Course Description: In recent years, there has been a dramatic increase in the pervasiveness, scale, and distribution of computing infrastructure: ranging from cloud, HPC systems, and data centers to edge computing and pervasive computing in the form of micro-data centers, mobile phones, sensors, and IoT devices embedded in the environment around us. The growing amount of computing, storage, and networking demand leads to increased energy usage, carbon emissions, and natural resource consumption. To reduce their environmental impact, there is a growing need to make computing systems sustainable. In this course, we will examine sustainable computing from a systems perspective. We will examine a number of questions:   • How can we design and build sustainable computing systems?   • How can we manage resources efficiently?   • What system software and algorithms can reduce computational needs?    Topics of interest would include:   • Sustainable system design and architectures   • Sustainability-aware systems software and management   • Sustainability in large-scale distributed computing (clouds, data centers, HPC)   • Sustainability in dispersed computing (edge, mobile computing, sensors/IoT)

Registration Prerequisites: This course is targeted towards students with a strong interest in computer systems (Operating Systems, Distributed Systems, Networking, Databases, etc.). Background in Operating Systems (Equivalent of CSCI 5103) and basic understanding of Computer Networking (Equivalent of CSCI 4211) is required.

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