November 2023 - Sanghani-students

Guest lecture: Rahul Mangharam, U Penn (1st Dec 2023)
by Abhijit Sarkar 01 Dec '23

01 Dec '23

Hello All, Dr. Rahul Mangharam from University of Pennsylvania will deliver a guest lecture for our class "ECE 4524: Artificial Intelligence and Engineering Applications" on 1st December, 2023 via Zoom. You are cordially invited if you find the topic interesting. More details below: Date: Friday Dec, 1st Time: 1:25 pm - 2:15 pm Platform: Zoom (Details below) Join Zoom Meeting https://virginiatech.zoom.us/j/84578041777?from=addon<https://www.google.com/url?q=https%3A%2F%2Fvirginiatech.zoom.us%2Fj%2F84578…> Meeting ID: 845 7804 1777 Title: MAD Games - Multi-Agent Dynamic Games: What can you learn from Autonomous Racing? Abstract: Balancing performance and safety are crucial to deploying autonomous vehicles in multi-agent environments. In particular, autonomous racing is a domain that penalizes safe but conservative policies, highlighting the need for robust, adaptive strategies. Current approaches either make simplifying assumptions about other agents or lack robust mechanisms for online adaptation. In this talk we will explore research themes on perception, planning and control at the limits of performance. We explore:(1) How to generate the most competitive agents who dynamically balance safety and assertiveness by using distributionally robust online adaptation and Game-theoretic planning (2) How to be better-than-the-best using imitation learning with multiple imperfect experts (3) Using invertible neural networks to solve inverse problems in localization and SLAM (4) How to build the most efficient autonomous racecar with Multi-domain optimization across vehicle design, planning and control; We realize all our research in the https://f1tenth.org autonomous racecar platform that is 10th the size, but 10x the fun! The main takeaway from this talk is how you can get involved in very exciting research on safe autonomous systems. I will also present projects on AV Gokart that we are doing in the Autoware Center of Excellence for Autonomous Driving. Bio: Rahul builds safe autonomous systems at the intersection of formal methods, machine learning and controls. He applies his work to safety-critical autonomous vehicles, urban air mobility, life-critical medical devices, and AI Co-designers for complex systems. He is the Penn Director for the Department of Transportation's $20MM Safety21 National UTC [2023-2028] both of which focus on technologies for safe and efficient movement of people and goods. Rahul is the Director of the Autoware Center of Excellence for Autonomous Driving, a consortium of 70+ companies and universities focused on open-source AV software for open-standards EV platforms. Rahul received the 2016 US Presidential Early Career Award (PECASE) from President Obama for his work on Life-Critical Systems. He also received the 2016 Department of Energy’s CleanTech Prize (Regional), the 2014 IEEE Benjamin Franklin Key Award, 2013 NSF CAREER Award, 2012 Intel Early Faculty Career Award and was selected by the National Academy of Engineering for the 2012 and 2017 US Frontiers of Engineering. He has won several ACM and IEEE best paper awards in Cyber-Physical Systems, controls, machine learning, and education. Thanks, Abhijit Sarkar, PhD (He/His/Him) Senior Research Associate Team Leader, Computer Vision and Machine Learning Division of Data and Analytics Virginia Tech Transportation Institute E-mail: asarkar(a)vtti.vt.edu, asarkar1(a)vt.edu Work: (540) 231-1528 Fax: (540) 231-1555

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Amazon Science Internship Info Sessions: Details & RSVP
by Shalaby, Wanawsha 28 Nov '23

28 Nov '23

Hello, See below for information on two upcoming info sessions focused on the Amazon Science internship recruiting process. This info session will only focus on internship recruiting. Full-time recruiting will not be addressed. Amazon Science Internship Info Sessions (Note: Internship Only) We are looking for PhD and Master's students who can go beyond the coding of engineers and dive deep into research investigations as scientists. We don’t wait for the next big thing. As a science intern at Amazon, you will be given the opportunity to work on projects that align with your area of research and interest. Amazon offers internships focusing on projects across many research domains, including computer vision, robotics, speech and language technology, machine learning, operations research, quantum technologies, and more. To learn more about these opportunities, join us at the dates/times below by RSVP’ing via the link. If you cannot make either date/time, these sessions will be recorded and shared within one week of the event. Info Session #1 Thursday, November 9th * 2:30-3:45pm PST / 5:30pm-6:45pm EST * RSVP here<https://register.gotowebinar.com/register/9059322038207565916?source=AlexaC…> Info Session #2 Thursday, November 16th * 2:00-3:15pm PST / 5:00-6:15pm EST * RSVP here<https://register.gotowebinar.com/register/3884586010802165084?source=Alexa+…> 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>

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Guest lecture on Privacy in AI open via Zoom to all Sanghani Center students Tuesday, Nov 28, 11 a.m.
by Barbara Micale 27 Nov '23

27 Nov '23

> > Dr. Junyuan Hong from UT Austin will be presenting an online guest lecture > in Ruoxi Jia's class tomorrow. The details are below. > > Dr. Junyuan Hong from UT Austin > > *Title: Foundation Models Meet Data Privacy: Risks and Countermeasures* > > *Abstract*: Foundation models have become more and more important for > Artificial Intelligence but also pose risks when they are fostered from > massive data. In training large models, personal information in data could > be encoded and raises concerns in data privacy. Therefore, how to measure > the risks and design countermeasures is a crucial topic and gains more > attention especially with the popularity of Generative AI. In this lecture, > I will present three of our recent efforts towards answering the question. > First, we developed a general method to measure the privacy risks in model > gradients efficiently and effectively. Second, we presented a new security > risk that finetuning can seduce text-to-image models to leak more training > data. Third, we novelly made Large Language Models privacy-preserving > prompt engineer for close-source ones (e.g., ChatGPT) that were not born to > protect data privacy. > > *Bio*: Junyuan is a postdoctoral fellow in the Institute for Foundations > of Machine Learning (IFML) at UT Austin. He obtained Ph.D. degree from > Michigan State University and M.S. and B.S. from University of Science and > Technology of China. His research interests lie in trustworthy AI, data > privacy and AI for healthcare. He has accomplished a series of work that > enhanced the fairness, robustness, security and privacy of federated > learning. He is also a core member in ILLIDAN Lab team that won the 3rd > place in U.S. PETs prize challenge and was covered by the White House. > Recently, his researche is centered on the Trustworthy Generative AI with > manageable costs and its application in modeling and treating dementia > disease. > > Time: 11AM ET > Zoom link: > https://virginiatech.zoom.us/j/86594075180?pwd=NDNJUExiS1RUOWpHV0dsUDFlRWFK… > > Meeting ID: 865 9407 5180 > Passcode: 010981 >

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Women in Science at Amazon: A Conversation with our Amazonians | Wed, Nov 8, 2023 1:30 PM - 2:45 PM EST
by Shalaby, Wanawsha 07 Nov '23

07 Nov '23

Hello, There is a great opportunity for Master’s and PhD students to connect with Amazon through a virtual event that will take place tomorrow. Please forward this opportunity broadly with those you think can benefit from this event. The Amazon Science Student Programs (SP) intern recruiting team (also known as GRT) is hosting a virtual Women in Science at Amazon | A Conversation with our Amazonians <https://attendee.gotowebinar.com/register/966039047078499417?source=Alexa+C…> on November 8th for Masters & PhD students who are interested in hearing from our women scientists at Amazon. Please register and attend via this link<https://attendee.gotowebinar.com/register/966039047078499417?source=Alexa+C…>. Please note, this event has a capacity so spots will be limited once shared out. 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>

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Information Requested on Participation at IEEE International Conference on Data Mining (IDCM)
by blmicale＠vt.edu 07 Nov '23

07 Nov '23

I've invited you to fill out the following form: IEEE International Conference on Data Mining (IDCM) To fill it out, visit: https://docs.google.com/forms/d/e/1FAIpQLSc2gTVwQIr4kCHulB4USUuhgNU4c0F1Uiz… If you are participating in this conference, please fill out the Google Form below or respond through this link: https://tinyurl.com/4xphpweu Any questions, please contact blmicale(a)vt.edu Google Forms: Create and analyze surveys.

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Information Requested on Participation at IEEE International Conference on Big Data
by blmicale＠vt.edu 07 Nov '23

07 Nov '23

I've invited you to fill out the following form: IEEE International Conference on Big Data To fill it out, visit: https://docs.google.com/forms/d/e/1FAIpQLSd96_NggMhPHQD3rssPsVcZtAE63Z7SleY… If you are participating in this conference, please fill out the Google Form below or respond through this link: https://tinyurl.com/yc77ycda Any questions, please contact blmicale(a)vt.edu Google Forms: Create and analyze surveys.

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Information Requested on Participation at Conference on Neural Information Processing Systems (NeurIPS)
by blmicale＠vt.edu 07 Nov '23

07 Nov '23

I've invited you to fill out the following form: Conference on Neural Information Processing Systems (NeurIPS) To fill it out, visit: https://docs.google.com/forms/d/e/1FAIpQLSc6sI-oh1sPuXAOfF8J2u2tF_zYUJjJS16… If you are participating in this conference, please fill out the Google Form below or respond through this link: https://tinyurl.com/35vwwbs6 Any questions, please contact blmicale(a)vt.edu Google Forms: Create and analyze surveys.

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Information Requested on Participation at Conference on Empirical Methods in Natural Language Processing (EMNLP)
by blmicale＠vt.edu 07 Nov '23

07 Nov '23

I've invited you to fill out the following form: Conference on Empirical Methods in Natural Language Processing (EMNLP) To fill it out, visit: https://docs.google.com/forms/d/e/1FAIpQLSd-8o5UudeSmGpJ2IvJJJmab_8kvIWHVmi… If you are participating in this conference, please fill out the Google Form below or respond through this link: https://tinyurl.com/mrcsphs2 Any questions, please contact blmicale(a)vt.edu Google Forms: Create and analyze surveys.

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