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Understand how cutting-edge research in systems engineering translates into real-world healthcare solutions
Understand how cutting-edge research in systems engineering translates into real-world healthcare solutions
Tuesday, 25 February 2025
9:30 AM EST (America/New_York)
Zoom
Who will you meet ?
Dr. Ekundayo Shittu
Professor and Chair of the Department of Engineering Management and Systems Engineering
The George Washington University, School of Engineering and Applied Science Ekundayo Shittu is a Professor and Chair of the Department of Engineering Management and Systems Engineering at GW's School of Engineering and Applied Science. He directs the Systems Modeling Laboratory for Economic Decisions (SysMoLED), where he teams up with students and collaborators to study and view the strategic interaction between firms' technology stocks and the external environment with the aid of mathematical programming, microeconomics, and econometrics through the lenses of transaction cost economics and the resource-based view. His research, supported by the NSF, DOE, DOD, and others, includes a prestigious NSF CAREER award. Dr. Shittu’s foray into healthcare has led to two patents on improving patient safety through condition-based maintenance of biomedical assets. His work supported restructuring a developing country's vaccine supply chain, as published in Health Affairs, in addition to many contributions to other publications, conferences, and committees. Dr. Shittu holds a B.Eng. in Electrical Engineering from the University of Ilorin, Nigeria; an M.S. in Industrial Engineering from the American University in Cairo, Egypt; and a Ph.D. in Industrial Engineering and Operations Research from the University of Massachusetts Amherst, U.S.Katherine Hugins
Associate Director, Admissions & International Partnerships
The George Washington University School of Engineering and Applied Science (GW Engineering) Katherine Hugins is the Associate Director of Admissions & International Partnerships at The George Washington University’s School of Engineering & Applied Science. With over seven years of experience in graduate admissions, she specializes in international recruitment and partnership building. Katherine previously served as Assistant Director of International Graduate Admissions, playing a key role in enrollment strategies for global students. She is dedicated to facilitating smooth admission processes for diverse applicants.Join us for a systems engineering deep dive! Bloated equipment inventories and inefficient maintenance are draining hospital resources. Each year, US hospitals expend $93 billion on medical equipment costs but these devices sit idle 58% of the time, with hospitals generally having 25% more equipment than can be used based on patient volume. These severe inefficiencies stem from one major obstacle: hospitals have no reliable way to measure equipment utilization. Without insight, healthcare technology managers are unable to assess how their inventory matches up to actual patient needs. Value Proposition: Our technology provides hospitals with the utilization insights needed to optimize the size and composition of equipment inventories according to actual patient demand, in addition to making possible highly effective usage-based predictive maintenance. This improves patient safety while reducing equipment-related costs by 25%. Innovation: We have conceived and patented an innovative system to overcome these challenges using a network of deployed sensor modules that integrates state-of-the-art techniques for non-intrusive load monitoring, machine learning, edge computing, and reliability analysis, thereby providing hospitals with an asset-agnostic tool for monitoring equipment utilization and condition at scale. Our system requires no modifications to medical equipment, and can therefore be deployed rapidly, inexpensively, and widely.
Explore the impact of inefficient medical equipment management on hospital costs and patient care.
Learn how utilization insights can optimize hospital inventories
Gain insight into the development of a patented, asset-agnostic wireless monitoring system using sensors, machine learning, and edge computing.
Explore the impact of inefficient medical equipment management on hospital costs and patient care.
Learn how utilization insights can optimize hospital inventories
Gain insight into the development of a patented, asset-agnostic wireless monitoring system using sensors, machine learning, and edge computing.
Expert career advice
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Expert career advice
International student support
Success stories
Located at the heart of the Washington, D.C. Metropolitan Area, the George Washington University School of Engineering and Applied Science (GW Engineering) is a beacon for transformative education, research, and innovation. Driven by a deep commitment to interdisciplinary collaboration, GW Engineering empowers students to become tomorrow's problem-solvers, equipping them to address the world's most pressing challenges. Ranked among the top engineering schools, GW Engineering boasts an impressive network, with nearly 300 leading companies such as Amazon, Cisco, Google, and The World Bank actively recruiting its graduates. With its unique location in Washington, D.C., the school leverages its proximity to government agencies, businesses, and international organizations, empowering students and faculty to make impactful contributions globally. SEAS prioritizes ethical leadership, academic excellence, and the pursuit of innovation in the service of humanity.
M.S. Biomedical Engineering
M.S. Civil & Environmental Engineering
M.S. Computer Engineering
M.S. Computer Science
M.S. Cybersecurity in Computer Science
M.S. Data Analytics
M.S. Electrical Engineering
M.S. Engineering Management
M.S. Mechanical & Aerospace Engineering
M.S. Systems Engineering
Ph.D. Biomedical Engineering
Ph.D. Civil & Environmental Engineering
Ph.D. Computer Engineering
Ph.D. Computer Science
Ph.D. Electrical Engineering
Ph.D. Engineering Management
Ph.D. Mechanical & Aerospace Engineering
Ph.D. Systems Engineering
27 February 2025
9:00 AM EST (America/New_York)
04 March 2025
9:00 AM EST (America/New_York)
06 March 2025
9:30 AM EST (America/New_York)
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