http://hdl.handle.net/2451/36325 2026-04-26T14:21:09Z http://hdl.handle.net/2451/74854 Title: “Patenting” a New Engineering Librarian at an American University in the UAE Authors: Magid, Amani Abstract: As a new engineering librarian, my first instruction session assignment was to teach first-year engineering students about patents and how to search the patent literature. I learned a great deal about patents and what can and cannot be patented. Of course, a person cannot be patented, let alone a profession. The question still remains as to what if it was a possibility and what would that patent look like? As a librarian who liaised with the science community exclusively for a year before taking on engineering, I have learned from point zero. I have no background in engineering and my previous library career path did not include any engineering liaison assignments. In the same matter that some patents begin with an idea and that idea then becomes a product, I started with the idea of an “engineering librarian” and made that idea a reality. In my case, the product, an engineering librarian, is constantly evolving and changing as new information is gained while remaining true to the very basics of that product. Through interacting with the faculty, attending lectures, attending training sessions, and communicating with my counterparts in the US, both in-person and online, I have learned and continue to learn about engineering librarianship, particularly at my institution. Just as a patent informs the reader of all of the claims, diagrams, and description of an invention, this paper will take one through all the claims, diagrams, and description that consists of my path in learning the skills required to become an engineering librarian at an American University in the UAE. 2016-06-29T00:00:00Z http://hdl.handle.net/2451/74853 Title: Multimodal Machine Learning for Stroke Prognosis and Diagnosis: A Systematic Review Authors: Shurrab, Saeed; Guerra-Manzanares, Alex; Magid, Amani; Piechowski-Jozwiak, Bartlomiej; Atashzar, S. Farokh; Shamout, Farah E. Abstract: Stroke is a life-threatening medical condition that could lead to mortality or significant sensorimotor deficits. Various machine learning techniques have been successfully used to detect and predict stroke-related outcomes. Considering the diversity in the type of clinical modalities involved during management of patients with stroke, such as medical images, bio-signals, and clinical data, multimodal machine learning has become increasingly popular. Thus, we conducted a systematic literature review to understand the current status of state-of-the-art multimodal machine learning methods for stroke prognosis and diagnosis. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines during literature search and selection, our results show that the most dominant techniques are related to the fusion paradigm, specifically early, joint and late fusion. We discuss opportunities to leverage other multimodal learning paradigms, such as multimodal translation and alignment, which are generally less explored. We also discuss the scale of datasets and types of modalities used to develop existing models, highlighting opportunities for the creation of more diverse multimodal datasets. Finally, we present ongoing challenges and provide a set of recommendations to drive the next generation of multimodal learning methods for improved prognosis and diagnosis of patients with stroke. 2024-08-22T00:00:00Z http://hdl.handle.net/2451/74852 Title: “Why the silence?”: Giving a Voice to the Lived Experiences of STEMM Librarians Authors: Magid, Amani; Torres, Ana Abstract: Inclusion, diversity, belonging, and equity (IDBE) are tenets discussed and developed in many universities and university libraries. Although there were studies on IDBE in libraries in general, the authors of this study were particularly interested in what Science, Technology, Engineering, Mathematics and Medicine (STEMM) librarians were facing or not facing regarding IDBE. We were unable to locate any known study focusing on STEMM librarians' lived experiences regarding IDBE. Thus, our study aimed to explore this area further. A survey consisting of multiple-choice, Likert and short-answer questions was sent to STEMM librarians via specific listservs. In this study, we use a grounded theory approach and analyze three of the questions in the survey. This study would particularly interest librarians who would like to ascertain the climate of IDBE and the intersection with social justice in STEMM Librarianship. Also, we provide strategies to improve the climate and provide a more inclusive, diverse, equitable and belonging environment for STEMM Librarians. Our data analysis shows that STEMM librarians who identify as People of Color encounter negative behaviors, experiences, and attitudes at a much higher rate than STEMM librarians who are white. In addition, many STEMM librarians who identify as white report white privilege awareness. 2024-03-01T00:00:00Z http://hdl.handle.net/2451/63952 Title: Conference Rubric Development for STEM Librarians’ Publications Authors: Sarah Over, James McAllister, Debbie Morrow, Sylvia Jones, David Pixton, Eric Prosser, Aditi Gupta & Amani Magid Abstract: Librarians within the Engineering Libraries Division (ELD) annually publish conference papers for the American Society for Engineering Education (ASEE). The existing ASEE rubric was not sufficient for our members, so we developed a new rubric as a charged committee for this task. We briefly discuss the sparse literature in this area, focusing on the use of rubrics and the rationale behind them. Due to this lack of literature, our committee primarily utilized additional sources such as rubrics found from other professional organizations in STEM and library fields. Our rubric is designed to encourage substantive feedback and growth of authors during the process, while clarifying the expectations for submissions. This rubric consists of overall guidance and specific needs, with flexibility for the different research methods and applications expected (i.e. work-in-progress/completed research, quantitative/qualitative, etc.). We implemented this rubric successfully for the 2021 conference cycle, but will further refine it as needed, based on feedback following future conferences. With scarce literature on conference peer review, we hope by sharing our work, others may also consider and improve their organizations’ processes. 2022-05-20T00:00:00Z