Overview Join the Mathworks, Association of Old Crows, and IEEE AESS/SPS for a private hands-on workshop session. MathWorks experts will walk you through a series of online exercises. These guided exercises will give you the opportunity to write and run your own code using the Sensor Fusion and Tracking Toolbox to track space debris. The focus is on showing participants the basics for setting up estimation filters, visualization, and tracking. Attendees will need to bring their laptop to participate. After the workshop, join us for networking and refreshments. Highlights - Sensor fusion and tracking overview - Basics of sensor fusion and tracking to level set and sampling of common tracking workflows and applications - Hands-on coding exercises on MATLAB Online: - Getting started: visualize noisy target detections - Handle a single noisy target with a constant-velocity Kalman estimation filter - Handle multiple noisy targets with a global nearest neighbor multi-object tracker - Network with other AOC members in the area Please also sign up here as well: https://www.mathworks.com/company/events/seminars/senor-fusion-and-tracking-workshop-5062650.html Product Focus - (https://www.mathworks.com/products/matlab.html) - (https://www.mathworks.com/products/sensor-fusion-and-tracking.html) Co-sponsored by: Association of Old Crows - Mile High Country Crows Denver Chapter Speaker(s): Dr. Pat Williamson, Dr. Pat Williamson 16455 E 40th Cir, Aurora, Colorado, United States, 80011

An in-person tour of BHE DC Tie and substation in Rapid City, SD. Presented by Eric Nelson, Substation Maintenance Manger for Black Hills Energy. Please park on the gravel road outside of substation. Please RSVP if attending. RSVPing will ensure there is adequate PPE (Personal Protection Equipment) for the tour. 7812 S Highway 79, Rapid City, South Dakota, United States, 57703

Meeting for general administration and operation of the Black Hills Subsection. Virtual: https://events.vtools.ieee.org/m/509423

In Person attendance at Original Brooklyn's, 2644 W Colfax Ave, Denver, CO 80204. NOTE on Parking: They have been changing which lots they ask you to park in so look at the sign in front of the front door. There is a QR code inside Brooklyns that will ask for your license plate number, but no payment method is needed. Remote attendance via WebEx call-in: Denver Excom Meeting Hosted by IEEE Denver Section https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m4fa1461a887d1a94fd52de51e94aa369 3rd Tuesday 6:00 PM | 2 hours 30 minutes | (UTC-06:00) Mountain Time (US & Canada) Occurs the third Tuesday of every month effective 6/15/2021 from 6:00 PM to 8:30 PM, (UTC-06:00) Mountain Time (US & Canada) Meeting number: 596 761 562 Password: huVJgx2N7b7 Join by video system Dial 596761562@ieeemeetings.webex.com You can also dial 173.243.2.68 and enter your meeting number. Join by phone +1-415-655-0002 United States Toll 1-855-282-6330 United States Toll Free Access code: 596 761 562 Agenda: - Meals and Socializing 6-6:30pm - Roll Call, Introductions, and Verification of a Quorum - Additions to the Agenda - Officer Reports - Student/ Affinity Group / Chapter Updates - Committee Reports - Old Business - Other Items & New Business - Adjourn Original Brooklyn's, 2644 W Colfax Ave, Denver, Colorado, United States, 80204, Virtual: https://events.vtools.ieee.org/m/511057

This event is co-hosted by the University of Colorado Boulder Student Branch - IEEE Denver Section. We invite you to join us for this incredible opportunity to expand your technical horizons while enjoying great food and networking! We are thrilled to welcome our guest speaker, Dr. Mohagheghi, who will share insights and expertise in power systems. Whether you are a professional, recent graduate, or student passionate about technology, this dine and learn offers the perfect blend of learning, dining, and meaningful connections with fellow IEEE members. Talk Abstract: Power grid capacity expansion focuses on adding or modernizing generation and transmission resources to respond to the rise in demand over a long-term planning period. Traditionally, the problem has been mainly viewed from technical and financial perspectives. However, with the rise in the frequency and severity of natural disasters and their dire impacts on society, it is paramount to consider the problem from a nexus of resilience, sustainability, and equity. This talk presents a framework for power grid capacity planning, while balancing the cost of operation and expansion with the life cycle impacts of various technologies. Further, to ensure equity in grid resilience, a social vulnerability metric is presented that allows for quantifying the impacts of energy not served on communities affected by long-duration power outages. Speaker Bio: Salman Mohagheghi received the PhD in Electrical Engineering from Georgia Institute of Technology, Atlanta, GA in 2006. Currently, he is an Associate Professor at the Electrical Engineering Department at Colorado School of Mines. Prior to that, he was a Senior R&D Engineer at ABB Corporate Research Center, Raleigh, NC. His research focuses on power grid resilience against natural and manmade hazards, nexus of energy, environment, and society, and data analytics. The event will take place in the Village View Dining Room, adjacent to the Village Center Dining Hall in Williams Village at the University of Colorado Boulder. Parking instructions on the CU Boulder Campus will be provided to event registrants as the event gets closer. Agenda: The event will take place in the Village View Dining Room, adjacent to the Village Center Dining Hall in Williams Village at the University of Colorado Boulder. We will provide you with a meal card. 5:45 PM Grab your dinner in the dining hall and head to the Village View Room. 5:45 PM-6:30 PM Food and networking 6:30 PM-7:30 PM Talk/Presentation 7:30 PM-8:30 PM Q&A and Discussion 8:30 PM Adjourn Room: Village View Dining Room, Bldg: Village Center Dining in Williams Village, 500 30th St, Boulder, CO 80303, University of Colorado Boulder, Boulder, Colorado, United States

Dr. Yuhong Liu, Ph.D. Associate Professor – Santa Clara University IEEE Computer Society Board of Governors Member | Chair – Geographic Activities Committee Dr. Yuhong Liu is an Associate Professor in the Department of Computer Science and Engineering at Santa Clara University. She received her B.S. and M.S. degrees from Beijing University of Posts and Telecommunications in 2004 and 2007, and her Ph.D. degree from the University of Rhode Island in 2012. Her research focuses on responsible and trustworthy AI, security and privacy in Agentic AI, edge intelligence, IoT, and Blockchain. She has authored over 100 peer-reviewed papers and serves as an Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), IEEE Transactions on Service Computing (TSC), Multimedia Tools and Applications (MTAP), and APSIPA Transactions on Signal and Information Processing (TSIP). She also serves as a member of the IEEE Computer Society Board of Governors, Chair of the Geographic Activities Committee, Treasurer of the T&C Board, an IEEE Distinguished Visitor (2022–2024), and an APSIPA Distinguished Lecturer (2021–2022). Presentation: Agentic AI – Powering the Next Wave of Energy Autonomy Abstract: The energy sector is undergoing rapid transformation, driven by the rise of renewables, decentralization, and electrification. Utilities, operators, and enterprises face increasing pressure to manage complexity, volatility, and ambitious sustainability goals. Agentic AI for energy autonomy offers a powerful paradigm by enabling autonomous, goal-driven agents that optimize generation, distribution, and consumption in real time. Unlike traditional automation, agentic systems are adaptive, self-directed, and capable of long-horizon decision-making. They can coordinate distributed resources, ensure grid stability, and manage storage and demand response with minimal oversight. This talk explores the emerging research landscape, highlights opportunities, and showcases case studies that illustrate the potential and challenges of Agentic AI in energy systems. Speaker(s): Dr. Yuhong Liu, Virtual: https://events.vtools.ieee.org/m/510472