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Browsing University Libraries by Author "Abbas, Montasir M."

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    Connecting the Opens: Open Access, Open Education, Open Data
    Potter, Peter J.; Walz, Anita R.; DePauw, Karen P.; Jhangiani, Rajiv; Artiles, Mayra S.; Abbas, Montasir M.; Petters, Jonathan L.; Young, Philip (Virginia Tech. University Libraries, 2018-03-19)
    Open practices represent opportunities to align scholarly and instructional processes with scholarly ideals, ethical stances, real work impacts, and aspirations for a more just and equitable world. There are many types of “open.” The three we will discuss, open access, open education, and open data practices may appear distinct and siloed from each other; This is only a surface-level view. In reality, these open practices areas have tremendous areas of overlap. Their underlying values reflect similar aspirations for the common good, and aims of overcoming some shared problems found in research and instruction in higher education and in society in general. This panel features students, faculty, and administrators with wide range of expertise in the three areas of open access, open education, and open data. Join us for a stimulating conversation in which we come to understand the differences and similarities between the opens, their purposes, and their potential. Presenters: Peter Potter, Anita Walz Panelists: Karen DePauw, Rajiv Jhangiani, Philip Young, Jon Petters, Mayra Artiles, Monty Abbas This event was part of Virginia Tech’s Open Education 2018 Symposium and was attended by many graduate students from Preparing the Future Professoriate. Video credit: Abram Diaz-Strandberg
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    For the Public Good: Research Impact and the Promise of Open Access
    DePauw, Karen P.; Seyam, Mohammed; Roy, Siddhartha; Abbas, Montasir M.; Hole, Brian; Potter, Peter J. (Virginia Tech. University Libraries, 2016-10-24)
    As a land-grant institution, Virginia Tech is committed to research that meaningfully engages with the vital concerns of our day such as feeding, building, and empowering a healthy world. How does Virginia Tech’s commitment to engagement fit with the Open Access vision for unrestricted online access to scholarly research? Have OA journals, public repositories, and federal mandates simply made a researcher’s life more complicated or could OA be the key to unlocking research impact on a global scale? And what are the implications for tenure and promotion? Join us for a public forum devoted to these questions and more on Monday, October 24, at 6:30 pm in Torgersen 1100. We expect a lively discussion featuring panelists from the Virginia Tech community and ample opportunity for audience Q&A. Montasir (“Monty”) Abbas is Associate Professor in the Charles E. Via, Jr. Department of Civil & Environmental Engineering at Virginia Tech, where he also serves as Coordinator of the Transportation, Infrastructure and Systems Engineering Program. His interests are in real-time traffic control, traffic flow theory, driver behavior, ITS, transportation modeling and safety, artificial intelligence and systems optimization. Abbas currently serves as President of VT’s Faculty Senate. Karen DePauw is Vice President and Dean for Graduate Education at Virginia Tech. An internationally recognized scholar in the fields of adapted physical activity, disability sport and disability studies, she holds academic appointments in the Departments of Sociology and Human Nutrition, Foods & Exercise. As an academic administrator, she has held key leadership roles in graduate education including serving as Chair of the Board of Directors of the Council of Graduate Schools (2010) and Chair of the GRE Board (2013-2014). Brian Hole is founder and CEO of Ubiquity Press, a researcher-focused publishing company that specializes in open access academic journals and open data. Prior to that, he managed the British Library’s LIFE3 project on costing digital preservation, and the DryadUK project, which developed a sustainable framework for integrating Open Data archiving into scientific publisher work flows. When not engaged in his publishing work, Hole is working on a part-time PhD at University College London, focusing on public archaeology in India, specifically at issues of community engagement and utilization of cultural heritage. Peter Potter is Director, Publishing Strategy, at Virginia Tech. In this role he is charged with assessing the research and scholarly environments at VT in order to guide the University Libraries’ long-term planning in the area of publishing services. A historian by training (B.A. Virginia Tech; M.A. University of Virginia), Potter has devoting his professional career to scholarly publishing, most recently serving as editor in chief at Cornell University Press. Siddhartha Roy is doctoral student and graduate researcher in the Department of Civil and Environmental Engineering at Virginia Tech. He works with Dr. Marc Edwards researching failure mechanisms in potable water infrastructure and is a member of the Virginia Tech Research Team that has been working to resolve the water quality issues in Flint, Michigan. Mohammed Seyam is a doctoral student in Computer Science at Virginia Tech. He earned an undergraduate degree in information systems from Mansoura University and a master’s degree in information systems from Cairo University, both in Egypt. Among his many activities on campus he served as the graduate student representative on the Virginia Tech Board of Visitors during the 2015-16 academic year. A vocal advocate of OA, he traveled to Washington to take part in OpenCon 2014, a conference for researchers on open access, open data, and open educational resources."
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    A Real-Time Safety-Based Optimal Velocity Model
    Abdelhalim, Awad; Abbas, Montasir M. (IEEE, 2022-01-31)
    Modeling safety-critical driver behavior at signalized intersections needs to account for the driver's planned decision process, where a driver executes a plan to avoid collision in multiple time steps. Such a process can be embedded in the Optimal Velocity Model (OVM) that traditionally assumes that drivers base their "mental intention" on a distance gap only. We propose and evaluate a data-driven OVM based on real-time inference of roadside traffic video data. First, we extract vehicle trajectory data from roadside traffic footage through our advanced video processing algorithm (VT-Lane) for a study site in Blacksburg, VA, USA. Vehicles engaged in car-following episodes are then identified within the extracted vehicle trajectories database, and the real-time time-to-collision (TTC) is calculated for all car-following instances. Then, we analyze the driver behavior to predict the shape of the underlying TTC-based desired velocity function. A clustering approach is used to assess car-following behavior heterogeneity and understand the reasons behind outlying driving behaviors at the intersection to design our model accordingly. The results of this assessment show that the calibrated TTC-based OVM can replicate the observed driving behavior by capturing the acceleration pattern with an error 20% lower than the gap distance-based OVM.