[] Speaker(s): Marko Radosavljević Virtual: https://events.vtools.ieee.org/m/446602

This is a planning meeting for the Lehigh Valley WIE Affinity Group. Interested Lehigh Valley Section WIE members or prospective members are welcome to attend. Virtual: https://events.vtools.ieee.org/m/445799

IEEE technical talk organized by Dr. Michael Callahan to be hosted at the Tec^Edge (5000 Springfield Street, Dayton, OH (Outside WPAFB Area B)) on 03 December 2024, 11:30 A.M.-12:30 P.M. Speaker(s): Dr. Bihl, Agenda: Technical Presentation with Bring Your Own Lunch Bldg: Tec^Edge, 5000 Springfield Street, Dayton, Ohio, United States, 45431

Dear IEEE Members, The College of Engineering at Ohio Northern University, in coordination with the IEEE Lima Section, is hosting the Student Research Colloquium in the JLK Engineering Building Room 103 on Tuesday, December 3, 2024, from 12 p.m. to 3:00 p.m. This platform provides an inclusive space for students to share their research work with the faculty, students, and IEEE members. The event will commence with networking with IEEE members, industry professionals, and faculty members. It's a fantastic opportunity to explore the diverse research work being carried out by College of Engineering students in all areas of engineering, including civil engineering, computer engineering, computer science, electrical engineering, and mechanical engineering. If you have any questions, please do not hesitate to contact me. Happy Thanksgiving! Sincerely, Ajmal _________________________________ Dr. M. Ajmal Khan, Ph.D. (Wireless Security), ISC2 CC, CCNA Vice-Chair, IEEE Lima Section ​Associate Professor​ at ECCS Department, Ohio Northern University, USA Email: [email protected] Bldg: JLK Engineering Building, Room 103, 525 S Main St, ADA, Ohio, United States, 45810

IEEE R2 Mini-Sync End of Year / End of term Wrap Up / Welcome in to Felicia and next RD-E Agenda: End of Year / End of term Wrap Up / Welcome in to Felicia and next RD-E Virtual: https://events.vtools.ieee.org/m/389645

Grayson Randall will be our presenter. MOVE has responded to major disasters in 2024 with the most notable being the Helene disaster in North Carolina, South Carolina and Tennessee. Grayson will review 2024 and the role MOVE played in the response with the Red Cross and other first responder partners. Co-sponsored by: IEEE-USA MOVE Program Speaker(s): Grayson Randall Virtual: https://events.vtools.ieee.org/m/446893

IEEE technical talk organized by Dr. Michael Callahan to be hosted at the Tec^Edge (5000 Springfield Street, Dayton, OH (Outside WPAFB Area B)) on 03 December 2024, 3:30 A.M.-4:30 P.M. Speaker(s): Dr. Lo Monte, Agenda: The presentation will be given at the Tec^Edge facility. Guests are welcome to purchase snacks and beverages from Tec^Edge for enjoyment during the talk. Bldg: Tec^Edge, 5000 Springfield Street, Dayton, Ohio, United States, 45431

The IEEE-Robotics & Automation Society (RAS) Jt. Washington D.C. and Northern Virginia Chapter cordially invite you to attend a Distinguish Lecture (DL) seminar “Physical Human-Robot Collaboration (pHRC) – Research Challenges and Applications ”, by Professor Dikai Liu from the University of Sydney. There has been increasing interest in the use of intelligent robots that can interact, assist and collaborate with humans. However, a number of key research challenges need to be addressed before robotic systems can be deployed to physically collaborate with human co-workers with varying strengths and in typically unstructured industrial environments. The talk will first discuss challenges of research on physical human-robot collaboration (pHRC), then the development of intelligent robotic coworkers that physically collaborate with humans performing labor intensive tasks such as abrasive blasting and patient handling. Topics include (1) assistance-as-needed paradigm; (2) control methods of robotic co-workers; (3) safety framework for physical human-robot collaboration; (4) brain-robot interface for intuitive human-robot collaboration; (5) modelling of human performance in pHRC; (6) development of robotic co-workers: an Assistance-as- Needed roBot (ANBOT) and a Smart Hoist. Attendees are eligible to receive an IEEE Certificate of Continuing Education Units /Professional Development Hours (CEU/PDH) by attending the full duration of the presentation, completing, and submitting forms at the close of the program. [] Speaker(s): Dikai Liu Agenda: 15:45 – 16:00 Welcome remarks, RAS Chapter Chair 16:00 – 16:45 DL Speaker, Prof. Dikai Liu “Physical Human-Robot Collaboration (pHRC) – Research Challenges and Applications” 16:45 – 17:00 Questions and Answers 17:00 – Closing Remarks / Adjourn Virtual: https://events.vtools.ieee.org/m/446604

Celebrate IEEE PES DEI Week with us at this unique event showcasing the diversity of the Smart Grid Laboratory at GWU. Ph.D. students from China, Bangladesh, Saudi Arabia, Egypt, Spain, Turkey, and Iran will share their graduate school journeys and personal insights through cultural food and drink stations. Engage in meaningful conversations about the graduate experience, leadership opportunities with IEEE, and the value of diversity, equity, and inclusion in academia and beyond. The event also features a panel discussion: - Prof. Tarek El-Ghazawi, Chair - Dept of ECE, GWU: Insights on DEI in academia and engineering. - Prof. Nan Wu, Dept of ECE, GWU - Advancing DEI principles and promoting female participation in academia and industry. - Dr. Niloofar Pourghaderi, Postdoctoral Fellow, Smart Grid Lab: Journey as an International Female Engineer. - Prof. Payman Dehghanian, Advisor - IEEE PES SBC GWU, Director - Smart Grid Lab: Importance of DEI in professional organizations like IEEE PES. Don’t miss this opportunity to connect, learn, and celebrate global diversity in engineering! [] Co-sponsored by: Department of ECE, George Washington University Speaker(s): Tarek El-Ghazawi, Dr. Nan Wu, Dr. Niloofar Pourghaderi, Dr. Payman Dehghanian Agenda: Hybrid Session: DEI Talks (12:00 PM - 1:00 PM): - Welcome and Introduction (5 minutes): - Brief overview of the event and speakers. - Talks by Professors (45 minutes): - Prof. Tarek El Ghazawi, Chair of the ECE Department, George Washington University: Insights on DEI in academia and engineering. - Prof. Nan Wu, Dept. of ECE, GWU - Advancing DEI principles and promoting female participation in academia and industry. - Dr. Niloofar Pourghaderi, Postdoctoral Fellow, Smart Grid Lab: Journey as an International Female Engineer. - Prof. Payman Dehghanian, Advisor IEEE PES SBC GWU: Importance of DEI in professional organizations like IEEE PES. - Q&A Session (10 minutes): - Open discussion and audience engagement (both online and in-person). Interactive Cultural Food Experience (1:00 PM - 2:00 PM): - Food Stations: - Bangladesh Station - Chinese Station - Iran and Turkey Station: - Spain Station - Saudi Arabia and Egypt Station - Engagement at Stations: - Cultural presentation and Q&A (5 minutes per station). Room: Lehman Auditorium (SEH-B1220), Bldg: George Washington University Science and Engineering Hall, 800 22nd St NW, Washington, District of Columbia, United States, 20052, Virtual: https://events.vtools.ieee.org/m/448519

IEEE members are encouraged to bring a guest Location: Stancato's 7380 State Road Parma, Ohio 44134 Agenda: eat and drink and talk 7380 State Road, Parma, Ohio, United States

TALK: "From Filtering to Fingerprints: Constructing Pretraining Datasets for LLMs and Measuring Biases in the Data" VISITING SPEAKER: (https://n64lfj4ab.cc.rs6.net/tn.jsp?f=001J3H0PVaGqMWV08isURJ3iOT_XJ8STTrSgdX8UUsy2-vFgfli0aZQg3Pi1LL9g2PWaBzJGMsEhy1OApDf2eKLjLS8caqMEJiR1CRS9gyAgrxdGXWjW0mW2uXFlykK-5bRimHpINmMnuXwBDIDEa2PmmK9cnYrJsrF&c=oPKUxcWmtgc-Id8lnSU74HxZvh1vnZUBjSIvOambXJBoJClnrTi5gQ==&ch=InJBzzwmlc0zBxUTWJDASwbYGTZ6tUEUtBhMTOiqHonzieo8d1tkBQ==), an associate professor of machine learning at the Technical University of Munich WHEN: Friday, December 6, 2024 at 11 a.m. LOCATION: 5105 Iribe Center, University of Maryland ABSTRACT: In this talk, we first discuss how pre-trained datasets for LLMs are sourced from the web through heuristic and machine learning based filtering techniques. We then investigate biases in pretraining datasets for large language models (LLMs) through dataset classification experiments. Building on prior work demonstrating the existence of biases in popular computer vision datasets, we analyze popular open-source pretraining text datasets derived from CommonCrawl including C4, RefinedWeb, DolmaCC, RedPajama-V2, FineWeb and others. Despite those datasets being obtained with similar filtering and deduplication steps, LLMs can classify surprisingly well which dataset a single text sequence belongs to, significantly better than a human can. This indicates that popular pretraining datasets have their own unique biases or fingerprints. BIO: (https://n64lfj4ab.cc.rs6.net/tn.jsp?f=001J3H0PVaGqMWV08isURJ3iOT_XJ8STTrSgdX8UUsy2-vFgfli0aZQg3Pi1LL9g2PWaBzJGMsEhy1OApDf2eKLjLS8caqMEJiR1CRS9gyAgrxdGXWjW0mW2uXFlykK-5bRimHpINmMnuXwBDIDEa2PmmK9cnYrJsrF&c=oPKUxcWmtgc-Id8lnSU74HxZvh1vnZUBjSIvOambXJBoJClnrTi5gQ==&ch=InJBzzwmlc0zBxUTWJDASwbYGTZ6tUEUtBhMTOiqHonzieo8d1tkBQ==) is an associate professor of machine learning in the Department of Computer Engineering at the Technical University of Munich, and an adjunct faculty member at Rice University. From 2017–2019, he was an assistant professor of electrical and computer engineering at Rice University. Before that, Heckel was a postdoctoral researcher in the Berkeley Artificial Intelligence Research Lab at UC Berkeley and a researcher at IBM Research Zurich. He completed his Ph.D. in 2014 at ETH Zurich and was a visiting Ph.D. student at Stanford University's Statistics Department. Heckel's work focuses on machine learning, artificial intelligence, and information processing. He specializes in developing algorithms and foundations for deep learning, particularly for medical imaging, establishing mathematical and empirical underpinnings for machine learning, and utilizing DNA as a digital information technology. Co-sponsored by: UMD Center for Machine Learning Speaker(s): , Reinhard Heckel Room: 5105, Bldg: Brendan Iribe Center for Computer Science and Engineering, 8125 Paint Branch Dr, College Park, Maryland, United States, 20740

How does OU Analytics work? What actually is IEEE Young Professionals? Why didn't anyone get my eNotice? Can GenAI help me respond to this email? In preparation for the merger with Region 2, Region 1 is organizing hybrid IEEE leadership training sessions to answer these questions and more at Buffalo State University on December 7th from 9:30 am until 4pm with dinner to follow. Agenda 9:30-10:00 Registration and networking 10:00-10:15 Welcome and introductions (ALL) 10:15-10:45 IEEE Organization (Bala Prasanna, R1 Director) 10:45-11:15 Sections and Chapters (Murty - Remote) 11:15-11:45 Young Professionals (Sam) 11:45- 12:30 BREAK: Networking Lunch (onsite) 12:30- 1:15 Jeopardy (Oscar - engineering style) 1:15- 1:45 Student Activities (Oscar for Ali) 1:45- 2:15 OUAnalytics/vTools (Eugene - Remote) 2:15- 2:45 Ethics (Oscar) 2:45- 3:15 Finance (Bill) 3:15- 3:30 Closing Remarks (Bala) If you can't join us for all the in-person excitement, join us virtually via WebEx! https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=md7a6b0f33f1735e587ce5ea6cb171e1b Room: 240, Bldg: Technology Building, SUNY Buffalo State University, 1300 Elmwood Avenue, Buffalo, New York, United States, 14222, Virtual: https://events.vtools.ieee.org/m/447355

2024 IEEE Colloquium in Western Pennsylvania Program (All times in eastern time zone) 8:00 am: Registration & breakfast 9:00 am (Presentation 1) Title: Topic 1. Cloud Network Infrastructure – 25 minutes; Topic 2. Enhance Cloud Network Performance and Reliability by BGP Optimization – 25 minutes; First topic will establish the background and then the second topic will follow. 10:00 am (Presentation 2) Title: PR-TDR: Privacy-preserving and Reliable Timed Data Release 10:30 am (Presentation 3) Title: Digital Twin-based Dynamic Task Assignment for Smart Home Maintenance 11:00 am (Presentation 4) Title: IEEE Photonics Standards Noon: Lunch 1:00 pm (Presentation 5) Title: Power Electronic Devices in Solid-State/Hybrid Circuit Breakers: Current Status and Future Trends 1:30 pm (Presentation 6) Title: Topic 1. Opportunities and Challenges in Power Flow Control in a Modern Grid – 90 minutes; Topic 2. Commissioning World’s First Commercial-Grade Sen Transformer – 60 minutes; First topic will establish the background and then the second topic will follow. 4:00 pm: adjourn Place: 4350 Northern Pike, Monroeville, PA 15146; Hybrid meeting. Please RSVP and the meeting link will be emailed to you by the day before the meeting. RSVP: Required at https://events.vtools.ieee.org/m/434998 by December 2, 2024, 5:00 PM Eastern Time. Please make sure to enter your email address while registering to receive the meeting link. If you are an IEEE member, please enter your membership number in the RSVP for accurate meeting reporting. PDH: If you would like to receive PDH, please send an email after the event to Dr. Kalyan Sen at [email protected]. Please include your IEEE membership number. You will receive a reply which will serve the same purpose as the signed page for in-person meetings. A non-member who would like to receive PDH is required to pay $10 to “IEEE Pittsburgh Section.” Speaker(s): Vinay, Jingzhe, Abdulrahman, John, Aboubakr, Tom, Sam, Kalyan Agenda: All times are in eastern time zone. 8:00 am: Registration & breakfast 9:00 am: 4 presentations Noon: lunch 1:00 pm: 3 presentations 4:00 pm: adjourn The meeting link will be emailed to on-line attendees on the day before the event. Next Tier Connect @ Pittsburgh East, 4350 Northern Pike, Monroeville, Pennsylvania, United States, 15146, Virtual: https://events.vtools.ieee.org/m/434998