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Search the 6,454,885 electronic theses and dissertations contained in the NDLTD archive:

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The Vireo Electronic Thesis and Dissertation (ETD) Submission and Management System addresses all steps of the ETD publishing process, from submission of the defended dissertation to approval by the graduate office to publication in one or more institutional repositories.

With Vireo, students submit their digital theses and dissertations via a simple online interface, while graduate offices can manage the ETD approval process behind the scenes. Institutions can also use Vireo to publish the ETDs in their TDL Institutional Repositories , where they are openly available to other researchers.

The Texas Digital Library, in close collaboration with Texas A&M University, provided initial development of Vireo and released it under an open source license in 2010. The TDL and members of the open source community (via the Vireo Users Group ) continue to oversee development  of the application.

Vireo Users Group

The Vireo Users Group (VUG) guides the future development of the Vireo ETD Submission and Management System and provides a forum for mutual support among Vireo users.  For more information about the Vireo Users Group, and to join the VUG email list, email [email protected].

How do I start using Vireo?

The TDL hosts Vireo for its consortial members and continues active development on the software. To find out more about membership opportunities, please see the Membership section of our Web site. If you are a member of the Texas Digital Library and want to deploy Vireo at your institution, please contact the TDL staff to get started.

Vireo is also freely available for download under an open-source license .

Want to know more?

• Check out Vireo end user documentation .
• Download Vireo from GitHub .
• Vireo was developed initially with grant funding from the Institute of Museum and Library Services. Find out more about the grant here .

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Format Guidelines for Digital Dissertations

• Digital Project Documentation Guidelines Format instructions for those submitting digital components in addition to a PDF text.

Digital Dissertation Case Studies

Digital Dissertations in an Increasingly Welcoming Landscape from LiteratureGeek on Vimeo .

Amanda Visconti (Purdue University) has shared a collection of digital Dissertation Case Studies in her public Zotero library.

• Beyond the Dissertation as Proto-Monograph: Examples and Reflections The first of two #Alt-Academy "clusters" collecting articles on expanding the concept of a dissertation. Includes an introduction to the series by Melissa Dalgleish and Daniell Powell, "What is This Thing We Call a Dissertation?"
• Beyond the Dissertation as Proto-Monograph: New Models for the Dissertation (Process and Experimentation) The second of a series of articles addressing the digital future of the dissertation. Includes contributions from the Graduate Center's #remixthediss panel, "What is a Dissertation? New Models, Methods, Media."
• Digital Dissertations and the Changing Nature of Doctoral Work (AHA) CelesteTường Vy Sharpe's recap of a 2019 AHA roundtable session on digital dissertations. (Perspectives on History | American Historical Association)
• The GC's First Digital Dissertation: Q&A with Jesse Merandy "Ph.D. student Jesse Merandy (English) will soon be completing the GC’s first entirely digital dissertation — a mobile game based on Walt Whitman." (365 Fifth)
• My Gothic Dissertation, by Anna Williams (University of Iowa) "the first-ever doctoral thesis to be produced in podcast form"
• They Need You! Disability, Visual Culture, and the Poster Child, 1945-1980, by Celeste Sharpe This dissertation white paper includes useful discussion of digital dissertations (the digital project itself is not publicly available).
• Women in Rock and Roll's First Wave, by Leah Tallen Branstetter (Case Western Reserve University) From the abstract: "I also survey current scholarship in feminist historiography to argue that digital technologies and publishing platforms offer new methods of changing the conversation about women in rock and roll. Through a kaleidoscopic array of archival materials and multimedia-enhanced analysis, a digital appendix to this dissertation (www.womeninrockproject.org) strives to place different counter-narratives about early rock and roll into dialogue with one another. "

Evaluating Digital Scholarship

Guidelines from professional associations.

• AHA Guidelines for the Evaluation of Digital Scholarship in History Includes a PDF version of the June 2015 guidelines.
• Guidelines for the Professional Evaluation of Digital Scholarship by Historians June 2015. Prepared by the American Historical Association.
• Guidelines for the Evaluation of Digital Scholarship in Art and Architectural History January 2016. College Art Association and the Society of Architectural Historians: Task Force to Develop Guidelines for Evaluating Digital Art and Architectural History for Promotion and Tenure
• MLA Guidelines for Evaluating Digital Scholarship 2013. Prepared by the Modern Language Association.
• Peer Review and T&P Guidelines

Dennis Tenen and Alex Gil (Columbia University) maintain a list of readings related to peer review of digital projects that may be helpful for your committee members:

Amanda Visconti (Purdue University) also shares a collection of links in her public Zotero library:

• DH Guidelines for Dissertations and Tenure (Zotero Library)
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Dissertations online

• Dissertation Abstracts - SEE: Dissertations and Theses Full Text (ProQuest) Proquest database with North American PhD thesis, mostly full-text.
• Amicus (Canada) Canadian Meta-catalog, containing theses as well.
• Networked Digital Library of Theses and Dissertations (NDLTD) Networked Digital Library of Theses and Dissertations (NDLTD) is an international organization dedicated to promoting the adoption, creation, use, dissemination, and preservation of electronic theses and dissertations (ETDs). NDLTD is the biggest consortium worldwide for online dissertations.
• Australasian Digital Theses Program (Australia + New Zealand)
• DART-Europe The DART-Europe partners help to provide researchers with a single European Portal for the discovery of Electronic Theses and Dissertations (ETDs), and they participate in advocacy to influence future European e-theses developments. more... less... DART-Europe is a partnership of research libraries and library consortia who are working together to improve global access to European research theses. DART-Europe is endorsed by LIBER (Ligue des Bibliothèques Européennes de Recherche), and it is the European Working Group of the Networked Digital Library of Theses and Dissertations (NDLTD).
• BNF: Thèses et écrits académiques (France)
• Index to Theses (1970-) The Index to Theses describes theses accepted for higher degrees by universities in Great Britain and Ireland and the Council for National Academic Awards from 1716 to date. From 1716 through 1985, the database provides citations only. For the period 1970-1985, abstracts are to some extent searchable. Abstracts are available online from 1986 on. more... less... What's New
• EThOS (UK) UK theses online
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• DissOnline (Germany) German dissertations. The www.dissonline.de information system provides a wide range of information on the electronic publishing of dissertations and post-doctoral theses. Information is held which is of relevance for authors, libraries, scientific institutions and publishing houses.
• TesiOnline (Italy) Born in 2000, Tesionline already published in Italy more than 20,000 among theses and dissertations, creating the largest web community made of students, teachers, scholars and young graduated looking for their first job. Tesionline is a non academic website where you can publish your theses and dissertations for free.
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Networked Digital Library of Theses and Dissertations

You are here.

The Networked Digital Library of Theses and Dissertations (NDLTD) is an international organization that promotes creation, access to, and preservation of electronic theses and dissertations (ETDs) from academic institutions around the world.  The NDLTD Union Catalog provides access to over a million ETDs. 

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MIT Libraries home DSpace@MIT

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This collection of MIT Theses in DSpace contains selected theses and dissertations from all MIT departments. Please note that this is NOT a complete collection of MIT theses. To search all MIT theses, use MIT Libraries' catalog .

MIT's DSpace contains more than 58,000 theses completed at MIT dating as far back as the mid 1800's. Theses in this collection have been scanned by the MIT Libraries or submitted in electronic format by thesis authors. Since 2004 all new Masters and Ph.D. theses are scanned and added to this collection after degrees are awarded.

MIT Theses are openly available to all readers. Please share how this access affects or benefits you. Your story matters.

If you have questions about MIT theses in DSpace, [email protected] . See also Access & Availability Questions or About MIT Theses in DSpace .

If you are a recent MIT graduate, your thesis will be added to DSpace within 3-6 months after your graduation date. Please email [email protected] with any questions.

Permissions

MIT Theses may be protected by copyright. Please refer to the MIT Libraries Permissions Policy for permission information. Note that the copyright holder for most MIT theses is identified on the title page of the thesis.

Theses by Department

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Doctoral theses, graduate theses, undergraduate theses, recent submissions.

Flooded with Possibilities: Analyzing Flood Insurance as a Catalyst for Development in Southeast Florida 

External field effects on electronic and ionic defects in functional oxides: Experiments and simulations 

Mathematics, Methods, and Models for Data-Driven Rheology 

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ISSN 1082-9873

Electromigration of hydrogen and deuterium in vanadium, niobium, and tantalum Page: 3 of 139

This thesis or dissertation is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided to UNT Digital Library by the UNT Libraries Government Documents Department .

View a full description of this thesis or dissertation .

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Jensen, C. L. Electromigration of hydrogen and deuterium in vanadium, niobium, and tantalum , thesis or dissertation , October 1, 1977; Iowa . ( https://digital.library.unt.edu/ark:/67531/metadc1065727/m1/3/ : accessed November 28, 2023 ), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu ; crediting UNT Libraries Government Documents Department . Copy Citation

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Professional Development and Career Strategy

Approach your professional development as an integral part of your time in graduate school. The skills you gain in your department—research, teaching, mentoring—will be enhanced by training in areas like leadership and communications, which will serve you well, whether you ultimately work inside or outside of the academy.

We promote an intentional approach to professional development, one that begins with the first year of your PhD and continues to evolve as you build knowledge and shape your scholarly and professional identity. Being intentional about your pathway through the PhD allows you to recognize your own agency in the process and to periodically assess where you are, noticing gaps and new interests, and getting targeted training. Spending time on your professional development will make you more successful during graduate school and better prepared for the job search. We encourage you to think about diverse career outcomes and to see professional development training as useful across many possible jobs, inside and outside of the academy.

As you chart your course, take advantage of the resources Yale has to offer.  Join a workshop series on leadership, communication, or project management; develop mentoring skills; or prepare for the job market through workshops on scholarly profile, job market materials, and interviewing skills. Search for professional development and career strategy workshops on Yale Connect .  Consider having a one-on-one consultation about your professional development and job search readiness.

Internships

Internships that fit into your PhD schedule are a good way to explore alternative academic paths and careers outside the academy. These internships are designed to be low-intensive experiences; they take 5-7 hours per week, helping you to hone your professional skills and build networks.

GSAS Professional Experience (GPE) Fellowship

The GPE Fellowship is designed to help you strengthen your professional skills and broaden career exposure by working with experienced administrators outside of your academic programs. Host offices across Yale offer mentored experiences that help you develop your skills in strategic planning, research, project management, program design, communications, data analysis, and more. 

Learn more about the GPE.

Yale Graduate Impact (YGI) Fellowship

The YGI Fellowship is open to humanities PhD students who wish to pursue external work experiences related to their academic research at organizations outside of Yale. As a YGI fellow, you will develop key professional skills and gain work experience while furthering your scholarly goals. The program provides funding for positions that would otherwise be unpaid. You design your own position in conversation with outside organizations, such as museums, presses, and nonprofits.

Learn more about the YGI .

Additional Resources

Three minute thesis (3mt).

The 3-Minute Thesis competition challenges Yale PhD students to describe their thesis clearly and persuasively to a broad audience – in 3 minutes! Create a professional asset that is just as critical for academic conferences and job talks as it is for a job search outside of the academy.

Featured Resource

Office of Career Strategy (OCS)

https://ocs.yale.edu/channels/phds-postdocs/

The Office of Career Strategy (OCS) supports GSAS students from every discipline and at every stage of their time at Yale through career advising, programming and resources aimed at the specific career interests and needs of PhD and Master’s students. At OCS, graduate students can explore diverse career paths; build professional skills and experience; identify opportunities; and get help with job search strategies, application materials, and interviewing in preparation for a successful job search within and beyond the academy. Services offered by OCS for Master’s and PhD students are part of a suite of resources supported by the Graduate School to foster professional and career development.

Poorvu Center: Teaching Development and Initiatives

https://poorvucenter.yale.edu/graduate-students/about-teaching-development-graduate-and-professional-school-students

The Teaching Development and Initiatives team provides opportunities for you to develop your pedagogical skills while you're here at Yale and as you prepare to teach at other institutions. You can earn a certificate that affirms your expertise, join in community with other graduate teachers, and compete for an opportunity to develop your own course alongside a faculty member. PhD students are also eligible to become McDougal Graduate Teaching Fellows, in which position you can further develop your teaching by facilitating workshops for your fellow graduate students and postdocs.

Digital Humanities (DH) Lab

https://dhlab.yale.edu/

The Digital Humanities Lab (DHLab) is uniquely positioned to support graduate student professional development through its programs. The DH Certificate allows you to complete coursework, training, and project work to demonstrate digital humanities competencies. The DH Dissertation Fellowship provides a stipend, space, community, mentorship, and mini-grant funding for students building a digital dissertation component.

Poorvu Center: Graduate Writing Lab

https://poorvucenter.yale.edu/writing/graduate

The Poorvu Center’s Graduate Writing Lab supports Yale graduate students in all aspects of written, oral, and visual communication. You can discuss a draft with a GWL Fellow in a 1–1 writing consultation; write with other graduate students at an All Write or Retreat; or join a peer-review group to give and receive support as you make progress on your dissertation, prospectus, or fellowship application. The GWL also offers over 100 workshops per year and a suite of public speaking programs. Alongside these resources, the GWL strives to promote a culture among graduate students that centers writing as a process of developing, refining, and disseminating knowledge, nurtured within a supportive community of scholars.

Yale Library Workshops

https://schedule.yale.edu/calendar/instruction?cid=4960&t=d&d=0000-00-00&cal=4960&inc=0

Yale Library offers workshops and events on a range of subjects that allow you to familiarize yourself with the library's resources and support your use of scholarly tools and online platforms. Workshop topics include: getting started with Zotero; syncing your online bibliography; cleaning messy data using Excel; literature searching; using LaTex; and curating your online scholarly profile. Workshops are sequenced to support every level of familiarity with scholarly tools, from beginner to proficient.

Suzanne Young

Assistant Dean for Professional Development

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Writing a Thesis

Finding a thesis topic.

Students who are interested in writing a bachelor’s or master’s thesis should begin thinking about possible topics (cf. hot topics for thesis projects on this page ) or propose their own (cf. introduction to IML ). Good research questions often have their origins in scientific papers around the research topics of the IML lab. Be on the look out for new data sources that might help provide new insights into a special IML research topic.

Your Advisor and Your Committee

In order to write a bachelor’s or master’s thesis you must find an member of the IML lab who is willing to be your thesis advisor. You propose your thesis topic together with your advisor to Prof. Sonntag as the first reviewer in your committee. 

How Long Should it Be? How Long Does it Take?

A bachelor’s thesis is generally 30-60 pages, not including the bibliography. A master’s thesis is generally 60-80 pages, not including the bibliography. However, the length will vary according to the topic and the method of analysis, so the appropriate length will be determined by you, your advisor, and your committee.  Students who write a master’s thesis generally do so over two semesters, bachelor’s one semester.

Procedure and Formal Requirements

• You are a student at Oldenburg University, follow these instructions .
• You are a student at Saarland University, follow these instructions .

You must maintain continuous enrollment Oldenburg University or at Saarland University while working on the bachelor’s or master’s thesis. If you are planning to conduct interviews, surveys or do other research involving human subjects, you must obtain prior approval from DFKI.

Here you can find some theses examples .

Hot Topics for Thesis Projects

You will implement novel modern approaches in computer vision such as Transfer Learning, Graph Neural Network, or Semi-Supervised Learning to solve important medical decision problems like Breast cancer detection, Chest-(X-Ray/CT) abnormalities diagnosis, or related medical domains. The target is to achieve state-of-the-art performance and the proposed method could be explainable to end users to improve the system’s reliability.

Nguyen, Duy MH, et al. “An Attention Mechanism using Multiple Knowledge Sources for COVID-19 Detection from CT Images.”,  AAAI 2021, Workshop: Trustworthy AI for Healthcare. 

Soberanis-Mukul, Roger D., Nassir Navab, and Shadi Albarqouni. “An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation.” arXiv preprint arXiv:2012.03352 (2020).

Contact: Duy Nguyen

In this topic, we will investigate important theoretical machine learning problems that have high impacts on several medical applications. It includes but is not limited to optimization formulation to incorporate efficient user’s feedback to boost the performance of trained models besides available training data (active learning), investigate benefits of transfer learning strategies when dealing with scarce data issues in medical problems, or training algorithms to adapt with highly imbalanced data distribution.

Wilder, Bryan, Eric Horvitz, and Ece Kamar. “Learning to complement humans.” arXiv preprint arXiv:2005.00582 (2020).

De, Abir, et al. “Classification Under Human Assistance.” AAAI (2021).

Yao, Huaxiu, et al. “Hierarchically structured meta-learning.” International Conference on Machine Learning. PMLR, 2019.

Requirements: Programming in Python, ideally experience with processing video and audio data

Project description: The aim is to create an annotated dataset of human-to-human dialogue in Youtube cooking videos*, that can serve as a resource for training ML models to generate conversational explanations of the cooking process. This involves the identification of videos with multiple speakers, speaker diarization (partitioning audio and/or transcript according to speaker identity), identification of conversational interaction between the speakers, and investigating if these interactions qualify as ‘conversational explanations’ of the video content

Contact: Mareike Hartmann

Relevant literature:

Speaker diarization: https://arxiv.org/pdf/2101.09624.pdf Potential videos: http://youcook2.eecs.umich.edu/explore Background on ‘conversational explanations’ from an XAI perspective: https://arxiv.org/pdf/1706.07269.pdf (Sec. 5) Note that in this project, we focus on ‘explaining’ the video content rather than model predictions.

*We focus on the process of cooking as there is some related ongoing work at DFKI, but other instructional scenarios are possible.

Requirements: Programming in Python, Pytorch, basic understanding of Deep Learning, ideally some project work on DL / CV / NLP

Project description: The student will experiment with Image Captioning, more specifically testing existing architectures on different datasets. Then, an error analysis can be conducted, in order to find out how the system can be improved.

Contact: Aliki Anagnostopoulou

• Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
• From Show to Tell: A Survey on Deep Learning-based Image Captioning

Requirements: Programming in Python, Pytorch (or Tensorflow)

Project description: The aim of the project is to investigate how explainable NMT methods are. For example, attention weights from the Transformer architecture can be used as alignments, however it is not straight-forward which weights can be used.

• Jointly Learning to Align and Translate with Transformer Models
• Accurate Word Alignment Induction from Neural Machine Translation

Project description: The aim of the project is to investigate active learning strategies applied to relation extraction from clinical documents when using deep learning models.

Contact: Siting Liang

• BiOnt: Deep Learning using Multiple Biomedical Ontologies for Relation Extraction
• Crowdsourcing Ground Truth for Medical Relation Extraction
• Active Learning for Interactive Relation Extraction in a French Newspaper’s Articles

A central finding of preliminary research reveals that different neural network architectures, when trained on the same data distribution, generate diverse attribution maps for local explanations, supporting the assertion that attribution maps are model-dependent [2]. However, it is also understood that these attribution maps, despite their varying origins, can embody certain common characteristics [1].

Given this premise, the proposition for future research is to delve into the development of a novel algorithm that seeks to create attribution maps universally accepted by all models. These models, despite possessing diverse architectures, are based on the same data distribution. This line of enquiry will pave the way towards generating explanations that are devoid of model-dependency or model-bias, thereby privileging model-invariance.

This research aims to bridge the gap between differing neural network architectures, fostering improved communication, data interpretation, and usability. Ultimately, advancements in this field have the potential to significantly propel the evolution of explainable Artificial Intelligence (AI).

Contact: Md Abdul Kadir

[1] Kadir, M. A., Addluri, G. K., & Sonntag, D. (2023). Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency.  arXiv preprint arXiv:2307.02150 .

[2] Gupta, A., Saunshi, N., Yu, D., Lyu, K., & Arora, S. (2022). New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound.  Advances in Neural Information Processing Systems ,  35 , 33120-33133.

Colposcopy, a vital method for the diagnosis of cervical pathology, hinges primarily on the visual cues to detect abnormalities and designate regions for biopsies. The conventional method often includes the use of Acetic acid (5%) for highlighting the cells’ nucleus and hence revealing abnormal or pre-cancerous cells, while green filters aid in visualizing blood vessels supplying these regions. However, vast variations in individual practitioner’s experience and expertise may lead to ununiformed assessments.

This research proposal aims to bridge this gap introducing deep learning algorithms, which have shown unprecedented success in image recognition and classification tasks, into colposcopic examinations [1]. The utilization of these machine learning methodologies could allow automatic detection of cancerous or precancerous regions in colposcopic images or videos, automating and standardizing the evaluation process while offering real-time feedback and suggestions during the examination.

[1] Chandran V, Sumithra MG, Karthick A, George T, Deivakani M, Elakkiya B, Subramaniam U, Manoharan S. Diagnosis of Cervical Cancer based on Ensemble Deep Learning Network using Colposcopy Images. Biomed Res Int. 2021 May 4;2021:5584004. doi: 10.1155/2021/5584004. PMID: 33997017; PMCID: PMC8112909.

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the ability to judge correctly what is going to happen in the future and plan your actions based on this knowledge

I feel it in my bones: phrases connected with believing or disbelieving

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• thesis (WRITING)
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