April 2025 - Sanghani-faculty - mailman.cs.vt.edu

Sanghani Faculty Meeting - Friday, May 9 at 12 pm
by Shalaby, Wanawsha 07 May '25

07 May '25

Hi All, Our next Sanghani Faculty meeting is scheduled for Friday, May 9th at 12:00 - 1:30 pm. As usual, if you have any recent news or updates since our last faculty meeting, please send them my way so that I may add them to our meeting slides. Updates include awards, proposals, grants, conference presentations, events, etc. Please send all updates by Wednesday, May 7. I have updated the recurring calendar invite to reflect this date. Those of you in Blacksburg will be meeting in D&DS 337 and those of us in the D.C. area will be meeting in IC 5740. Below is the Zoom information for anyone who needs to join remotely. Join Zoom Meeting Https://virginiatech.zoom.us/j/89087118458 Meeting ID: 890 8711 8458 --- One tap mobile +16469313860,,89087118458# US +19294362866,,89087118458# US (New York) --- Dial by your location • +1 301 715 8592 US (Washington DC) Meeting ID: 890 8711 8458 Thanks, Wanawsha Wanawsha Shalaby Manager of Operations Sanghani Center for AI and Data Analytics - Virginia Tech 3625 Potomac Ave., Alexandria, VA 22305 E-Mail: wanah92(a)vt.edu<mailto:wanah92@vt.edu>

1 1

Innovation Campus: CS Seminar Announcement (Friday, February 21 11:15am-12:15pm, ICAB 4110)
by Lu, Chang-Tien 01 May '25

01 May '25

Learning, introspection, and anticipation for effective and reliable task planning under uncertainty Speaker: Prof. Gregory J. Stein George Mason University Friday, February 21, 2025 11:15AM- 12:15PM, ICAB 4110 Abstract The next generation of service and assistive robots will need to operate under uncertainty, expected to complete tasks and perform well despite missing information about the state of the world or the future needs of itself and other agents. In this talk, I will present a number of recent and ongoing projects that improve long-horizon navigation and task planning in uncertain home-like environments. First, I will discuss our recent developments that improve performance and reliability in unfamiliar environments-environments potentially dissimilar from any seen during training-with a technique that enables fast and reliable deployment-time policy selection despite uncertainty. Second, I will discuss anticipatory planning, by which our robot anticipates and avoids side effects of its actions on undetermined future tasks it may later be assigned; our approach guides the robot towards behaviors that encourage preparation and organization, improving its performance over lengthy deployments. Biography [cid:image001.jpg@01DB83BB.F2C5BD90] Prof. Gregory J. Stein is an Assistant Professor of CS at George Mason University, where he runs the Robotic Anticipatory Intelligence & Learning Group and is the director of the GMU Autonomous Robotics Lab. His research at the intersection of robotics, planning, and learning, develops approaches for planning and learning that allow robots to better understand the impact of their actions, so that they may plan quickly, intelligently, and reliably in a dynamic and uncertain world. Before joining Mason, he received his PhD in 2020 from MIT's EECS Department and previously graduated summa cum laude from Cornell University with a B.S. in Engineering Physics. His work was a finalist for Best Paper at the 2018 Conference on Robot Learning, at which he was additionally awarded Best Oral Presentation.

1 15

Updated invitation: Monthly Sanghani Center Faculty Meetings @ Monthly from 12pm to 1:30pm on the first Friday from Fri May 2 to Sat Jun 6, 2026 (EDT) (sanghani-faculty@cs.vt.edu)
by Wanawsha Shalaby 28 Apr '25

28 Apr '25

This event has been updated Changed: description Monthly Sanghani Center Faculty Meetings Monthly from 12pm to 1:30pm on the first Friday from Friday May 2 to Saturday Jun 6, 2026 Eastern Time - New York Location D&DS 337, IC 5740 https://www.google.com/maps/search/D%26DS+337,+IC+5740?hl=en Wanawsha Shalaby is inviting you to a scheduled Zoom meeting.Join Zoom Meetinghttps://virginiatech.zoom.us/j/89087118458Meeting ID: 890 8711 8458---One tap mobile+16469313860,,89087118458# US+19294362866,,89087118458# US (New York)---Dial by your location• +1 646 931 3860 US• +1 929 436 2866 US (New York)• +1 301 715 8592 US (Washington DC)• +1 305 224 1968 US• +1 309 205 3325 US• +1 312 626 6799 US (Chicago)• +1 360 209 5623 US• +1 386 347 5053 US• +1 507 473 4847 US• +1 564 217 2000 US• +1 669 444 9171 US• +1 669 900 6833 US (San Jose)• +1 689 278 1000 US• +1 719 359 4580 US• +1 253 205 0468 US• +1 253 215 8782 US (Tacoma)• +1 346 248 7799 US (Houston)Meeting ID: 890 8711 8458 Organizer Wanawsha Shalaby wanah92(a)vt.edu Guests Wanawsha Shalaby - organizer Barbara Micale Joyce Newberry sanghani-faculty(a)cs.vt.edu View all guest info https://calendar.google.com/calendar/event?action=VIEW&eid=Nmc0M2xmaXUyNDRq… Reply for sanghani-faculty(a)cs.vt.edu and view more details https://calendar.google.com/calendar/event?action=VIEW&eid=Nmc0M2xmaXUyNDRq… Your attendance is optional. ~~//~~ Invitation from Google Calendar: https://calendar.google.com/calendar/ You are receiving this email because you are an attendee on the event. Forwarding this invitation could allow any recipient to send a response to the organizer, be added to the guest list, invite others regardless of their own invitation status, or modify your RSVP. Learn more https://support.google.com/calendar/answer/37135#forwarding

1 0

Synced invitation: Monthly Sanghani Center Faculty Meetings @ Monthly from 12pm to 1:30pm on the first Friday from Fri Feb 7 to Sat Jun 6, 2026 (EST) (sanghani-faculty@cs.vt.edu)
by Wanawsha Shalaby 28 Apr '25

28 Apr '25

This email keeps the event up to date in your calendar. Monthly Sanghani Center Faculty Meetings Monthly from 12pm to 1:30pm on the first Friday from Friday Feb 7 to Saturday Jun 6, 2026 Eastern Time - New York Location D&DS 337, IC 5740 https://www.google.com/maps/search/D%26DS+337,+IC+5740?hl=en Join Zoom Meetinghttps://virginiatech.zoom.us/j/89087118458Meeting ID: 890 8711 8458---One tap mobile+16469313860,,89087118458# US+19294362866,,89087118458# US (New York)---Dial by your location• +1 646 931 3860 US• +1 929 436 2866 US (New York)• +1 301 715 8592 US (Washington DC)• +1 305 224 1968 US• +1 309 205 3325 US• +1 312 626 6799 US (Chicago)• +1 360 209 5623 US• +1 386 347 5053 US• +1 507 473 4847 US• +1 564 217 2000 US• +1 669 444 9171 US• +1 669 900 6833 US (San Jose)• +1 689 278 1000 US• +1 719 359 4580 US• +1 253 205 0468 US• +1 253 215 8782 US (Tacoma)• +1 346 248 7799 US (Houston)Meeting ID: 890 8711 8458-- Organizer Wanawsha Shalaby wanah92(a)vt.edu Guests Wanawsha Shalaby - organizer Barbara Micale Joyce Newberry sanghani-faculty(a)cs.vt.edu ~~//~~ Invitation from Google Calendar: https://calendar.google.com/calendar/ You are receiving this email because you are an attendee on the event. Forwarding this invitation could allow any recipient to send a response to the organizer, be added to the guest list, invite others regardless of their own invitation status, or modify your RSVP. Learn more https://support.google.com/calendar/answer/37135#forwarding

1 0

Amazon - VT Initiative: Call for Research Proposals and Ph.D. Fellowship Nominations!
by Shalaby, Wanawsha 17 Apr '25

17 Apr '25

Hello, In 2022, Virginia Tech and Amazon announced their partnership to advance research and innovation in artificial intelligence and machine learning. The Amazon - Virginia Tech Initiative for Efficient and Robust Machine Learning<https://amazon.cs.vt.edu/> includes machine learning-focused research projects, doctoral student fellowships, community outreach, and an establishment of a shared advisory board. The third set of awards for fellowships and research projects were announced in Fall 2024, you can learn more about the awardees (link to this page: https://news.vt.edu/articles/2024/10/amazon-virginia-tech-initiative-announ…) The Amazon-Virginia Tech Initiative for Efficient and Robust Machine Learning (ML) is soliciting proposals<https://amazon.cs.vt.edu/content/dam/amazon_cs_vt_edu/year-4/Amazon%20-%20V…> from Virginia Tech faculty in the College of Engineering for research projects with anticipated support beginning Fall Semester 2025 (FY 2026). The objective of this initiative is to advance research and innovation in Artificial Intelligence (AI) and ML, specifically in the areas of efficient and robust machine learning. Virginia Tech faculty members are invited to submit proposals for research projects that work to revolutionize the way ML is developed, evaluated, and embedded in everyday contexts, devices, and applications. Please note, as instructed in the Call for Research Projects<https://amazon.cs.vt.edu/content/dam/amazon_cs_vt_edu/year-4/Amazon%20-%20V…>, abstracts are due February 20, 2025. If you have any questions regarding the submission process, please review our FAQ<https://amazon.cs.vt.edu/content/dam/amazon_cs_vt_edu/year-4/Amazon%20-%20V…>. Additionally, the program invites nominations<https://amazon.cs.vt.edu/content/dam/amazon_cs_vt_edu/year-4/Amazon%20-%20V…> for doctoral student fellows with anticipated support beginning Fall Semester 2025. Fellowships will be awarded to Virginia Tech doctoral students that includes one academic year of funding, tuition, travel support to conferences, and an invitation to interview for an Amazon internship intended to provide students a greater understanding of industry and use-inspired research. Students selected for fellowships will be known as Amazon Fellows. The fellowship enables students during the academic year to pursue independent research projects in the areas of machine learning and artificial intelligence and the optional paid summer internship at Amazon will enable them to gain valuable industry insight and experience through direct engagement with Amazon researchers. Please note, as instructed in the Call for Fellowship Nominations<https://amazon.cs.vt.edu/content/dam/amazon_cs_vt_edu/year-4/Amazon%20-%20V…>, nomination packets are due April 18, 2025. If you have any questions regarding the submission process, please review our FAQ<https://amazon.cs.vt.edu/content/dam/amazon_cs_vt_edu/year-4/Amazon%20-%20V…>. Thanks, Wanawsha Wanawsha Shalaby Manager of Operations UrbComp Program Coordinator Sanghani Center for AI and Data Analytics - Virginia Tech 900 N. Glebe Road, Arlington, VA 22203 Phone: (571) 858-3361 E-Mail: wanah92(a)vt.edu<mailto:wanah92@vt.edu>

1 2

FW: LDC April Special License Agreements
by Brian Mayer 11 Apr '25

11 Apr '25

FYSA From: Penn LDC <ldc(a)ldc.upenn.edu> Sent: Tuesday, April 8, 2025 5:25 PM To: Penn LDC <ldc(a)ldc.upenn.edu> Subject: LDC April Special License Agreements Dear Member, This month LDC is releasing two data sets, one of which require a Special License Agreement (attached): LDC2025S03, MATERIAL Kazakh-English Language Pack. It was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) MATERIAL (Machine Translation for English Retrieval of Information in Any Language) program. It contains approximately 57 hours of Kazakh conversational telephone speech, transcripts, English translations, annotations, and queries. Please sign and return the version of the Agreement that applies to your organization, either the NFP (Not-For-Profit) or FP (For-Profit) version. This is an optional license, and can be returned at any time; your Subscription Membership guarantees the perpetual opportunity to license the corpus. Please let me know if you have any further questions. Best regards, Taylor Membership Office Linguistic Data Consortium University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu <mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

1 0

[CCI Workshop] AI for Science with Foundation Models
by Wang, Xuan 10 Apr '25

10 Apr '25

Hi all, We are excited to invite you to participate in our upcoming CCI workshop, "AI for Science with Foundation Models". This workshop will take place on Thursday, May 1st, 2025, from 12:30 PM - 3:00 PM ET in the Data and Decision Sciences Building, Room TBD, Virginia Tech, Blacksburg, Virginia. Here is the Workshop Website<https://xuanwang91.github.io/2025-cci-workshop/>. About the Workshop: The capabilities of foundation models for science big data span a wide spectrum, from the atomic level, where it solves partial differential equations for quantum systems, to the molecular level, predicting chemical or protein structures, and further extending to societal predictions like infectious disease outbreaks. However, there remain significant challenges to unlock the full potential of foundation models for scientific discovery, such as ensuring trustworthiness, achieving personalization, and adapting to multi-modal data representation. This workshop aims to inspire and empower CCI researchers interested in real-world science and healthcare applications, AI, and machine learning to explore new ideas and discuss recent research challenges in related areas. Invited Talks: Zijian Zhang<https://www.linkedin.com/in/zijian-zhang-uoft/?originalSubdomain=ca>, Ph.D. Student, Vector Institute at the University of Toronto, AI Agents for Quantum Experiments Dr. Guangyu Wang<https://guangyuwanglab.github.io/web/>, Director of Center for Bioinformatics and Computational Biology (CB2), Associate Professor of Computational Biology, Houston Methodist, Weill Cornell Medical College, Foundation Models for Multi-Omics and Spatial Omics Registration: We highly recommend that people attend our workshop in person, as this will facilitate research discussion with all speakers and other participants. Registration is free but required for everyone who plans to attend the workshop, either in person or on Zoom. The registration information will be leveraged for us to book a room and gather statistics for further enhancements. The registration deadline is Sunday, April 27, 2025. Here is the Registration Link<https://docs.google.com/forms/d/e/1FAIpQLSfglmDaF_TCaKWbVivQV4LXLORHOkpKnEn…>. Contact Information: For any inquiries or assistance with registration, please feel free to reach out to Dr. Xuan Wang (xuanw(a)vt.edu) and Jun Hou (junh(a)vt.edu). We look forward to seeing you at the workshop! Best, Xuan and Jun -------- Assistant Professor Department of Computer Science Sanghani Center for AI and Data Analytics Virginia Tech

1 0

Amazon Research Awards CFP Spring 2025
by Naren Ramakrishnan 03 Apr '25

03 Apr '25

Colleagues, Below is an additional CFP from Amazon (separate from the Amazon-VT Initiative) that includes two new categories: Build on Trainium, a $110M credit initiative, and Think Big. Please apply below if this is of interest to you, Best, Naren *Call for Proposals: Amazon Research Awards Spring 2025* Amazon Research Awards (ARA) is announcing the spring 2025 call for proposals (CFP) for the AI for Information Security <https://www.amazon.science/research-awards/call-for-proposals/ai-for-inform…>, Amazon Ads <https://www.amazon.science/research-awards/call-for-proposals/amazon-ads-ca…>, AWS AI: Agentic AI <https://www.amazon.science/research-awards/call-for-proposals/aws-ai-agenti…>, Build on Trainium <https://www.amazon.science/research-awards/call-for-proposals/build-on-trai…> and Think Big <https://www.amazon.science/research-awards/call-for-proposals/think-big-cal…> research areas. The deadline for submissions is 11:59 p.m. PT on April 30, 2025. Proposals will be reviewed for the quality of their scientific content, creativity, and their potential for impact at scale. Proposals related to theory, practice, and novel new techniques are all welcome. ARA provides grant recipients unrestricted funds and AWS promotional credits. Funded projects are assigned an Amazon research contact, and recipients also receive training resources, including AWS tutorials and hands-on sessions with Amazon scientists and engineers. Before applying, researchers are encouraged to visit the ARA website <https://www.amazon.science/research-awards> and read the frequently asked questions <https://www.amazon.science/research-awards/frequently-asked-questions> for more specific program information. Learn more about the CFP and how to apply. <https://www.amazon.science/research-awards/call-for-proposals>

2 1

April Sanghani Faculty Meeting - Brian Host
by Mayer, Brian 03 Apr '25

03 Apr '25

BEGIN:VCALENDAR PRODID:-//Microsoft Corporation//Outlook 16.0 MIMEDIR//EN VERSION:2.0 METHOD:REQUEST X-MS-OLK-FORCEINSPECTOROPEN:TRUE BEGIN:VTIMEZONE TZID:Eastern Standard Time BEGIN:STANDARD DTSTART:16011104T020000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010311T020000 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT ATTENDEE;CN=sanghani-faculty@cs.vt.edu;RSVP=TRUE:mailto:sanghani-faculty@cs .vt.edu ATTENDEE;CN="Shalaby, Wanawsha";ROLE=OPT-PARTICIPANT;RSVP=TRUE:mailto:wanah 92(a)vt.edu ATTENDEE;CN="Wang, Xuan";ROLE=OPT-PARTICIPANT;RSVP=TRUE:mailto:xuanw@vt.edu ATTENDEE;CN="Chandrasekaran, Jaganmohan";ROLE=OPT-PARTICIPANT;RSVP=TRUE:mai lto:jagan@vt.edu ATTENDEE;CN="Hooshangi, Sara";ROLE=OPT-PARTICIPANT;RSVP=TRUE:mailto:shoosh@ vt.edu ATTENDEE;CN="Eldardiry, Hoda";ROLE=OPT-PARTICIPANT;RSVP=TRUE:mailto:hdardir y(a)vt.edu ATTENDEE;CN="Yao, Danfeng";ROLE=OPT-PARTICIPANT;RSVP=TRUE:mailto:danfeng@vt .edu ATTENDEE;CN="Micale, Barbara";ROLE=OPT-PARTICIPANT;RSVP=TRUE:mailto:blmical e(a)vt.edu CLASS:PUBLIC CREATED:20250403T143153Z DESCRIPTION:Brian Mayer is inviting you to a scheduled Zoom meeting. \nJoin Zoom Meeting \nhttps://virginiatech.zoom.us/j/87311562031?pwd=EcPxnjbiB2p EF8XBmnd2gcklRc0MOM.1 \n\nMeeting ID: 873 1156 2031 \nPasscode: 814194 \n\ n--- \n\nOne tap mobile \n+19294362866\,\,87311562031# US (New York) \n+13 017158592\,\,87311562031# US (Washington DC) \n\n--- \n\nDial by your loca tion \n• +1 929 436 2866 US (New York) \n• +1 301 715 8592 US (Washing ton DC) \n• +1 305 224 1968 US \n• +1 309 205 3325 US \n• +1 312 626 6799 US (Chicago) \n• +1 646 931 3860 US \n• +1 719 359 4580 US \n• +1 253 205 0468 US \n• +1 253 215 8782 US (Tacoma) \n• +1 346 248 779 9 US (Houston) \n• +1 360 209 5623 US \n• +1 386 347 5053 US \n• +1 507 473 4847 US \n• +1 564 217 2000 US \n• +1 669 444 9171 US \n• +1 669 900 6833 US (San Jose) \n• +1 689 278 1000 US \n\nMeeting ID: 873 1 156 2031 \n\n--- \n\nJoin by SIP \n• 87311562031(a)zoomcrc.com <mailto:873 11562031(a)zoomcrc.com> \n\n--- \n\nJoin by H.323 \n• 144.195.19.161 (US West) \n• 206.247.11.121 (US East) \n• 221.122.88.195 (Mainland China) \n• 115.114.131.7 (India Mumbai) \n• 115.114.115.7 (India Hyderabad) \n• 159.124.15.191 (Amsterdam Netherlands) \n• 159.124.47.249 (Germany ) \n• 159.124.104.213 (Australia Sydney) \n• 159.124.74.212 (Australia Melbourne) \n• 170.114.134.121 (Hong Kong SAR) \n• 170.114.180.219 (S ingapore) \n• 64.211.144.160 (Brazil) \n• 159.124.132.243 (Mexico) \n • 159.124.168.213 (Canada Toronto) \n• 159.124.196.25 (Canada Vancouve r) \n• 170.114.194.163 (Japan Tokyo) \n• 147.124.100.25 (Japan Osaka) \n\nMeeting ID: 873 1156 2031 \nPasscode: 814194 \n\n \n\n DTEND;TZID="Eastern Standard Time":20250404T130000 DTSTAMP:20250403T143153Z DTSTART;TZID="Eastern Standard Time":20250404T120000 LAST-MODIFIED:20250403T143153Z LOCATION:https://virginiatech.zoom.us/j/87311562031?pwd=EcPxnjbiB2pEF8XBmnd 2gcklRc0MOM.1 ORGANIZER;CN="Mayer, Brian":mailto:mayer2@vt.edu PRIORITY:5 SEQUENCE:1 SUMMARY;LANGUAGE=en-us:April Sanghani Faculty Meeting - Brian Host TRANSP:OPAQUE UID:040000008200E00074C5B7101A82E00800000000007918581CA4DB01000000000000000 010000000CC65E1ADA09C7B42ACAADF39287F6499 X-ALT-DESC;FMTTYPE=text/html:<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-mic rosoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/ 12/omml" xmlns="http://www.w3.org/TR/REC-html40"><head><meta http-equiv=Co ntent-Type content="text/html\; charset=us-ascii"><meta name=Generator con tent="Microsoft Word 15 (filtered medium)"><style></style>< !--[if gte mso 9]><xml>\n<o:shapelayout v:ext="edit">\n<o:idmap v:ext="edi t" data="1" />\n</o:shapelayout></xml><![endif]--></head><body lang=EN-US link=blue vlink=purple style='word-wrap:break-word'><div class=WordSection 1>Brian Mayer is inviting you to a scheduled Zoom meeting. Join Zoo m Meeting <a href="https://virginiatech.zoom.us/j/87311562031?pwd=EcPx njbiB2pEF8XBmnd2gcklRc0MOM.1">https://virginiatech.zoom.us/j/87311562031?p wd=EcPxnjbiB2pEF8XBmnd2gcklRc0MOM.1</a> <o:p></o:p>Meeting ID: 873 1156 2031 Passcode: 814194 <o:p></o:p>--- <o:p></o:p>One tap mobile +19294362866\,\,87311562031# US (New York) +1301715859 2\,\,87311562031# US (Washington DC) <o:p></o:p>--- <o:p></o:p> Dial by your location &#8226\; +1 929 436 2866 US (New York) &# 8226\; +1 301 715 8592 US (Washington DC) &#8226\; +1 305 224 1968 US &#8226\; +1 309 205 3325 US &#8226\; +1 312 626 6799 US (Chicago) &#8226\; +1 646 931 3860 US &#8226\; +1 719 359 4580 US &#8226 \; +1 253 205 0468 US &#8226\; +1 253 215 8782 US (Tacoma) &#8226\ ; +1 346 248 7799 US (Houston) &#8226\; +1 360 209 5623 US &#8226\ ; +1 386 347 5053 US &#8226\; +1 507 473 4847 US &#8226\; +1 564 2 17 2000 US &#8226\; +1 669 444 9171 US &#8226\; +1 669 900 6833 US (San Jose) &#8226\; +1 689 278 1000 US <o:p></o:p>Meeting ID: 873 1156 2031 <o:p></o:p>--- <o:p></o:p>Join by SIP &#82 26\; <a href="mailto:87311562031@zoomcrc.com">87311562031(a)zoomcrc.com</a> <o:p></o:p>--- <o:p></o:p>Join by H.323 &#8226\; 144.195 .19.161 (US West) &#8226\; 206.247.11.121 (US East) &#8226\; 221.1 22.88.195 (Mainland China) &#8226\; 115.114.131.7 (India Mumbai) & #8226\; 115.114.115.7 (India Hyderabad) &#8226\; 159.124.15.191 (Amste rdam Netherlands) &#8226\; 159.124.47.249 (Germany) &#8226\; 159.1 24.104.213 (Australia Sydney) &#8226\; 159.124.74.212 (Australia Melbo urne) &#8226\; 170.114.134.121 (Hong Kong SAR) &#8226\; 170.114.18 0.219 (Singapore) &#8226\; 64.211.144.160 (Brazil) &#8226\; 159.12 4.132.243 (Mexico) &#8226\; 159.124.168.213 (Canada Toronto) &#822 6\; 159.124.196.25 (Canada Vancouver) &#8226\; 170.114.194.163 (Japan Tokyo) &#8226\; 147.124.100.25 (Japan Osaka) <o:p></o:p>Meeting ID: 873 1156 2031 Passcode: 814194 <o:p></o:p> <o:p>&nbsp\;</o:p></div></body></html> X-MICROSOFT-CDO-BUSYSTATUS:TENTATIVE X-MICROSOFT-CDO-IMPORTANCE:1 X-MICROSOFT-CDO-INTENDEDSTATUS:BUSY X-MICROSOFT-DISALLOW-COUNTER:FALSE X-MS-OLK-APPTSEQTIME:20250403T021356Z X-MS-OLK-AUTOSTARTCHECK:FALSE X-MS-OLK-CONFTYPE:0 X-MS-OLK-SENDER;CN="Brian Mayer":mailto:bmayer@cs.vt.edu BEGIN:VALARM TRIGGER:-PT15M ACTION:DISPLAY DESCRIPTION:Reminder END:VALARM END:VEVENT END:VCALENDAR

1 0

Sanghani Faculty Meeting - Friday, April 4 at 12:00 - 1:30 pm
by Shalaby, Wanawsha 02 Apr '25

02 Apr '25

Hi All, Our next Sanghani Center Faculty meeting is scheduled for Friday, April 4 at 12:00 - 1:30 pm. I will be out of the office March 27 - April 11; therefore, I will be missing next week's meeting. If you have any recent news or updates since our last faculty meeting, please send them to Brian Mayer (bmayer(a)cs.vt.edu) so that he can add them to our meeting slides. Updates include awards, proposals, grants, conference presentations, events, etc. Please send all updates by Wednesday, April 2. Those of you in Blacksburg will be meeting in D&DS 337 and those of us in the D.C. area will be meeting in IC 5740. Below is the Zoom information for anyone who needs to join remotely. Please note that it's the same link for all our Sanghani Faculty meetings this semester. Join Zoom Meeting Https://virginiatech.zoom.us/j/89087118458 Meeting ID: 890 8711 8458 --- One tap mobile +16469313860,,89087118458# US +19294362866,,89087118458# US (New York) --- Dial by your location • +1 301 715 8592 US (Washington DC) Thanks, Wanawsha Wanawsha Shalaby Manager of Operations Sanghani Center for AI and Data Analytics - Virginia Tech 3625 Potomac Ave., Alexandria, VA 22305 E-Mail: wanah92(a)vt.edu<mailto:wanah92@vt.edu>

2 1