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This talk examines how the design of collaborative systems determines whether distance becomes manageable or dangerous. Drawing on two decades of research spanning remote collaboration, immersive virtual environments, telemedicine-enabled stroke care, and human-AI teaming in high-risk settings, the talk shows how redesigning systems, rather than pushing people harder, can dramatically improve outcomes. The talk argues that the future of distributed work and intelligent systems will be defined by seamlessly integrated, intelligently designed human\u2013machine partnerships.", "occurrence_notes":null, "guid":"147209-21900527@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/147209", "building_id":"1000429", "building_name":"Industrial and Operations Engineering Building", "campus_maps_id":"73", "room":"1680", "location_name":"Industrial and Operations Engineering Building", "has_livestream":0, "cost":"", "tags":["899 Seminar Series","Michigan Engineering","Graduate","Graduate Students","Industrial And Operations Engineering"], "website":"", "sponsors":[ { "group_name":"Industrial & Operations Engineering", "group_id":"3301", "website":"http:\/\/ioe.engin.umich.edu\/" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/03\/event_147209_original-1.jpg", "styled_images":{ 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Forecasting and Market-Aware Maintenance for Energy Assets", "occurrence_title":"", "combined_title":"IES Energy Seminar Series - From Market Signals to Maintenance Decisions: Electricity Price Forecasting and Market-Aware Maintenance for Energy Assets: Ahmed Azziz Ezzat, Rutgers University", "event_subtitle":"Ahmed Azziz Ezzat, Rutgers University", "event_type":"Workshop \/ Seminar", "event_type_id":"21", "description":"Abstract:\nOperational decision-making in modern power systems is increasingly shaped by uncertain market signals, such as electricity prices and curtailment levels. In this talk, I will present our research group\u2019s recent efforts to develop data- driven methods for forecasting these signals, and further leveraging them to inform asset-level decision-making. First, I will present a multivariate statistical approach for electricity price forecasting designed to capture system, market, and temporal dependencies that are prevalent in electricity price signals. The proposed approach is evaluated on two years of electricity prices from the California Independent System Operator, showing significant improvements in both point and probabilistic forecast metrics relative to well-established statistical and emerging deep learning methods. Independent validation against industry-adopted forecasting systems further demonstrates the approach\u2019s competitive performance and practical relevance. I then turn to how variability in market signals (naturally viewed as a challenge for asset management) can, counter-intuitively, be turned into an opportunity for improved decision-making. In particular, I will present a grid- informed maintenance optimization framework for wind energy assets that incorporates grid- level information, such as electricity prices and curtailment, to support condition-based maintenance decisions. Together, these results highlight how market signals can be accurately predicted, and further leveraged to inform asset management, bridging forecasting and optimization in modern power systems.\n\nBiography:\nAziz Ezzat is an Assistant Professor of Industrial & Systems Engineering at Rutgers University, where he leads the Renewables & Industrial Analytics (RIA) Research Group. He received his PhD degree in Texas A&M University, and his BSc. Degree from Alexandria, Egypt, both in Industrial & Systems Engineering. Aziz\u2019s research develops data science, AI, and machine learning methods for energy, environmental, and industrial systems, with support from the National Science Foundation, U.S. Department of Energy, the state of New Jersey, and industry partners. His work has appeared in leading journals such as Technometrics, Annals of Applied Statistics, IISE Transactions, and IEEE Transactions on Sustainable Energy. Aziz is a recipient of the A. Walter Tyson Early Career Award, the IIF-SAS \u00ae Research Methodology Award, and the Excellence in Teaching Awards from the Operations Research and Data Analytics Divisions of the Institute of Industrial & Systems Engineers (IISE). He served as the 2023-2024 President of the Energy Systems Division of IISE, where he introduced numerous initiatives to advance the broader impacts of data and decision sciences, including the inaugural PG&E Energy Analytics Challenge\u2014an industry-sponsored, national-scale energy forecasting competition. He is a professional member of INFORMS, IISE, IEEE, and IIF. More about his research and teaching can be found at: https:\/\/sites.rutgers.edu\/azizezzat\/.", "occurrence_notes":null, "guid":"145470-21897385@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/145470", "building_id":"1000448", "building_name":"Electrical Engineering and Computer Science Building", "campus_maps_id":"56", "room":"1303", "location_name":"Electrical Engineering and Computer Science Building", "has_livestream":0, "cost":"", "tags":["Engineering","CAEN","Civil and Environmental Engineering","Electrical Engineering and Computer Science","Sustainability","Social Sciences","seminar","Science","Research","Nuclear Engineering and Radiological Sciences","North Campus","Michigan Engineering","Mechanical Engineering","Materials Science","Law","Interdisciplinary","Industrial and Operations Engineering","Energy","Environment","Free","Naval Architecture and Marine Engineering"], "website":"https:\/\/ies.engin.umich.edu\/energy-seminar-series\/", "sponsors":[ { 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Karchuganova\n*Research Advisor:* Professor Markos Koutmos\n*Title of Talk:* Structural and Functional Studies of Human tRNA Isopentenyltransferase I (TRIT1)\n\n*Time:* 5:00-5:20 PM\n*Student Presenter:* Yulia Rakova\n*Research Advisor:* Professor Adam Matzger\n*Title of Talk:* Solid Guests in Metal\u2013Organic Frameworks: Capacity Limits and Structural Effects on Loading Kinetics", "occurrence_notes":null, "guid":"147275-21900622@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/147275", "building_id":"1000158", "building_name":"Chemistry Dow Lab", "campus_maps_id":"34", "room":"1640", "location_name":"Chemistry Dow Lab", "has_livestream":0, "cost":"", "tags":["Chemistry"], "website":"https:\/\/lsa.umich.edu\/chem", "sponsors":[ { "group_name":"Department of Chemistry", "group_id":"3761", "website":"https:\/\/lsa.umich.edu\/chem" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", 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alumni and professionals. We will go into how to conduct informational interviewing as a tool for connection building, and how to best utilize your position as a new graduate to your advantage.In this workshop, you will:- Develop an understanding of networking and the importance- Examine your current and potential connections- Identifyways to expand your network- Recognize ways to utilize LinkedIn and UCAN for building connectionsYou will leave this session having reached out to at least three alumni and be ready to continue expanding your network.This event's information is shown in Handshake as well as on the Happening @ Michigan calendar so that it will be seen by a largernumber of U-M Students. You can only register to attend this event withinHandshake. If you'd like to indicate that you'll be attending this event and see more details, please go to this webpage:\u00a0https:\/\/umich.joinhandshake.com\/events\/1935767\/share_preview\u00a0\u00a0We want to ensure full and equitable participation in our events.If an accessibility accommodation would promote your full participation in this event, please indicate your accommodation requirements via the link below, preferably at least 14 days prior to the program to ensure sufficient time for arranging your requested accommodation(s) or exploring suitable alternatives. If you have any questions regarding access to our programs, please don't hesitate to reach out to Cierra Sutherland at\u00a0cierrasu@umich.edu. 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