Civil Engineers (ASCE), the American Concrete Institute (ACI), and the ASCE Structural Engineering Institute (SEI), he is the author or co-author of more than 180 articles in journals and proceedings and an invited speaker at conferences and seminars. He has a P.E. license from the state of Texas. Dr. Yazdani is well-known for his research on Concrete Bridge Design, Evaluation and Rehabilitation, Resilient and High Performing Infrastructure, Non-Destructive Evaluation (NDE), Concrete Properties, Coastal Infrastructure, Bridge/Building Codes, and Engineering Education. He has received several awards for his teaching and research accomplishments and secured more than $18 million from research projects. Funding sources
pursue research that can enhance quality of life by improving access to sustainable resources and economic opportunities, particularly where a lack of physical infrastructure or economic resources presents a major obstacle, leading to the creation of the SEAR lab. The SEAR lab investigates how communities, companies, and countries can allocate their limited resources in a way that maximizes their desired outcomes in a sustainable, equitable, and resilient but also elegant way. The SEAR lab assesses these problems by combining physical experimentation, data analytics, and stochastic systems optimization to provide actionable decisions and create scalable prototypes.Dr. Victoria C. P. Chen, The University of Texas at
state linking also with Ohio, but with Virginia, Maryland, and Pennsylvania.Notably, most transmission lines are sub 500kV and few lines go through the more mountainsparts of the state. Additionally, West Virginia’s transmission infrastructure is aging and faceschallenges from extreme weather events, including ice storms, heavy winds, and flooding [26]. 10Power outages are more frequent in rural areas, where grid resilience is limited. Modernizationefforts, such as upgrading substations and implementing real-time grid monitoring, are underwaybut require significant investment due to the rural and remote location of many infrastructureelements [26
previous literature reveals key gaps includingcategorization informed an analysis of theoretical foundations, lack of consensus and methodological limitations. Studiescontextual influences, and research methods. often highlight different factors influencing EV adoption, such as economic incentives, consumer behavior, and The review highlights consistent consumer behavior factors infrastructure. However, there is no integrated understandinginfluencing EV adoption, while identifying machine learning as a of the most significant drivers. Additionally, researchpromising tool for uncovering complex behavioral patterns. methodologies used to
Carlton Lynch Applied Engineering Department Wichita State University AbstractBackground: The increase in unmanned aerial systems (UAS) has brought challenges in protectingpersonnel and infrastructure. Current Counter-UAS (C-UAS) solutions employed have a highdevelopmental cost, are destructive, and are prone to collateral damage. Using curiosity from KEENframework and System Engineering framework, this study identifies and implements a feasiblecounter-UAS solution.Purpose: This paper aims to use the Curiosity from KEEN framework to demonstrate how a non-kinetic counter UAS method can reduce UAS threats in an effective manner. Using
Paper ID #49561Evaluating the Impact of a Summer NSF REU Program on UndergraduateStudents’ STEM Career Aspirations and Educational Goals: A Case StudyDr. Sudipta Chowdhury, Marshall University Sudipta Chowdhury is an Assistant Professor at the Department of Mechanical and Industrial Engineering in Marshall University. His area of research includes Critical Infrastructure Resilience, Disaster Restoration Planning, Supply Chain and Logistics, and formal and informal STEM Education. He has published over 20 peer-reviewed journal articles and multiple conference proceedings. He serves as a reviewer of multiple journals such
infrastructure, construction education, and workforce development.Dr. Jiannan Cai Dr. Jiannan Cai is an Assistant Professor of the School of Civil & Environmental Engineering, and Construction Management at the University of Texas at San Antonio (UTSA). She teaches Construction Materials and Testing, and Construction Estimating II, both at undergraduate levels. Her research interests are construction automation and robotics, artificial intelligence and its applications in construction, infrastructure, and built environment. ©American Society for Engineering Education, 2025 1
payment, is acritical issue that affects power distribution systems worldwide. In the United States (U.S.),electricity theft leads to an estimated $1.6 billion in annual losses for utility companies, creatinga significant financial burden that is ultimately passed on to honest consumers through higherelectricity rates [1]. While this issue is not frequently discussed in the U.S., its financial andoperational impacts are felt across the energy sector [2]. The challenge lies not only in themonetary losses but also in the inefficiencies and operational difficulties introduced by electricitytheft, which compromise the reliability and resilience of power grids.Globally, electricity theft is recognized as a pervasive problem, particularly in developing
, enhance processing speed, andstrategies of the organization with the overall company goals support real-time decision-making.to ensure that the analytical efforts directly support the Align Data Strategy with the Business Vision: Direct theorganization's long-term success. To further improve efforts of the data efforts toward the company vision byoperational analytical data integration, companies need to assigning specific, quantifiable KPIs. Possess adaptableinstall cloud-based infrastructure that facilitates smooth access strategies that can modify with the current market patterns andto information across various systems [22]. Organizations also company
in the use of AI in response to wildfires.IntroductionWith the continuation of climate change, society is beginning to experience an increase in wildfiresas well as an increase in intensity, threatening ecosystems and infrastructure [1]. Traditionalwildfire detection methods like satellite monitoring and ground-based patrol fall into certainweaknesses like limited coverage of an area. Unmanned Aerial Vehicles (UAVs), more commonlyknown as drones, can be equipped with advanced technologies, like AI, as a solution to thedetection and monitoring of wildfires [2]. Bitcraze's Crazyflie drones are a lightweight andmodular drone system that allows the drone to be equipped with special hardware like the AI deckto enable real-time sensing and image
testbed. We compared a virtual environment simulation on alab PC with resources identical to the Raspberry Pi testbed hardware to compare data processingefficiency and system resilience. The purpose of this research was to investigate the results indifferent environments. The study showcases the differences in evaluation results between anapplication testbed and a virtual environment to marginalize the impact on a simulatedenvironment versus a testbed. We are trying to find the answer to our question: Will the resultswe produce in a simulated environment get us the same results when deployed in the realenvironment with many interferences from the environment and instruments themselves?Both setups processed continuous streams of data from IoT
patterns. They also assess soil filtrationproperties and study how pollutants move through different layers of soil and rock.[2]Climate change has introduced significant challenges to water resource management, includingaltered rainfall patterns, prolonged droughts, and increased flooding. These changes necessitateadaptive strategies to ensure water availability and resilience against extreme weather events. Inthis initiative, students use hydrological models and simulations to study water storage,distribution, and flood management systems. They examine how infrastructure designs, such asdams, reservoirs, and irrigation systems, can be optimized to meet fluctuating water demands.Through case studies, students evaluate the effects of climate
, testing, and implementation ofdesigns. Through the ET-AG Program, WTAMU will create a pipeline of skilled graduates readyto lead in agriculture technology and contribute to a more resilient and sustainable agriculturalsector, both regionally and beyond.Developing a multidisciplinary program for undergraduates and graduates presents severalchallenges in terms of integrating concepts from multiple fields, creating relevantinterdisciplinary material, and meeting the needs of diverse learners. Institutions need to ensureprovision of reliable infrastructure in concerns to programs that have online, and blendedlearning communities embedded into their curriculum [1, 2]. Significant investment is alsoneeded to incorporate new tools, such as generative
the Art: Resilience of Concrete Pavement with Climate Change Submitted, under review A Comprehensive Review of Moisture Damage in Asphalt Mixtures: 10 Submitted, under review Mechanisms, Evaluation Methods, and Mitigation Strategies 11 State of Art Review on Litter Collection on Road Side Not submitted 12 Decentralized Wastewater Treatment System: A Review Not submitted 13 Phosphorus Removal and Recovery from Stormwater: A Review Submitted, under review3.2 Students’ FeedbackIn-class activities using Mentimeter have proven to be a valuable tool for engaging
agriculturally valueless land [citation ommitted foranonymity]. These communities lack access to basic infrastructure, such as paved roadways,clean water, and electricity service.Figure 1 illustrates the demographic breakdown of student members of the ECE department atthis HSI. While there is significant diversity in terms of student ethnicity, there are significantgender inequalities. The institution and the department serves a significant number of studentsand families who must overcome socio-economic barriers and educational inequalities. Many ofthese students commute, work full-time jobs, and/or attend remotely due to these conditions.Such marginalization calls for improving the on campus climate and practices to instill in studentsa stronger sense
efforts in digital infrastructure, assystem has undergone a significant transformation in recent highlighted by Alrabah and Wu, align with the global trend ofyears, with a growing emphasis on technological integration and integrating technology into education [21]. Numerous countriesinnovation [53]. This change necessitates a parallel evolution in know about how innovation might work on instructive resultsteacher leadership development to fully utilize these and prepare students for a rapidly influencing computerizedbreakthroughs. Regarding online expert improvement courses in world. Both teachers and students need to have access to devicesSaudi Arabia, the current study explores the connection between