Department of Electrical and Computer Engineering and Computer Science
Rice University, USA
Title: Wireless Networking, Security, and Sensing above 100 GHz
Abstract: Spectrum above 100 GHz provides a promising foundation for realizing unprecedented capabilities in next generation wireless networks. In this talk, I will begin by describing emerging transmitter and receiver architectures that can realize high-frequency communication and sensing. I will discuss the key elements needed to realize highly directional, high data rate links that are robust to client and environmental mobility. I will describe how new sensing capabilities can simultaneously provide millimeter scale resolution without traditional array processing methods used in lower frequency bands. Lastly, I will address physical layer security: While narrow beams can make an eavesdropper's task more difficult, I will describe a new class of “Metasurface In The Middle” attacks that yield a formidable adversary. Throughout the talk, I will use experimental results to illustrate current capabilities in these areas.
Bio: Edward Knightly is the Sheafor-Lindsay Professor of Electrical and Computer Engineering and Computer Science at Rice University. He received his Ph.D. and M.S. from the University of California at Berkeley and his B.S. from Auburn University. He is an ACM Fellow, an IEEE Fellow, and a Sloan Fellow. He received the Dynamic Spectrum Alliance Award for Research on New Opportunities for Dynamic Spectrum Access and the National Science Foundation CAREER Award. He received best paper awards from ACM DroNet, ACM MobiCom, ACM MobiHoc, IEEE Communications and Network Security (CNS), IEEE SECON (twice), and IEEE INFOCOM. He served as general chair or technical chair for ACM MobiHoc, ACM MobiSys, IEEE INFOCOM, and IEEE SECON. He received the George R. Brown School of Engineering Teaching + Research Excellence Award in 2021. He serves as an editor-at-large for IEEE/ACM Transactions on Networking and serves on the scientific council of IMDEA Networks in Madrid and the scientific advisory board of INESC TEC in Porto. He served as the Rice ECE department chair from 2014 to 2019.
Additive, HP Inc., USA
Title: Industry 4.0 and the Ants in the Kitchen
Abstract: The Fourth Industrial Revolution asserts a world where the physical and digital blend together, enabling new businesses and experiences by building on improvements in interconnectivity, sensing, machine learning, autonomous systems, and real-time data. Additive manufacturing is an important part of this Industry 4.0 revolution, as it gives us the ability to create critical parts locally on demand, support the right to repair, provide more sustainable products, address supply chain emergencies, and democratize manufacturing in new communities. So what is holding us back? One of the problems is that although we can print it, we can't design it. Industrial 3D printers are now capable of printing highly complex parts, but traditional manufacturing design software is not capable of creating the necessary digital models.
In this talk I'll describe an industrial 3D print process and some of the many computationally interesting parts we can create with it. I'll explain how our journey to design these parts has moved us from using traditional CAD (Computer Aided Design) software to writing our own software in platforms intended for the special effects industry, game designers, and animators. I'll describe how skillsets from the MobiCom community can help solve some of our most troubling printing problems, and I'll pose technological challenges for the community to tackle. Finally, I'll pass around a variety of exotic printed parts including mathematical jewelry, screens used for manufacturing sustainable packaging, musical instruments, and solutions for keeping ants out of the compost scrap bin in the kitchen. These parts tell the story of a future of self-determination, where anyone anywhere can instantiate physical solutions to a variety of problems without expertise or training.
Bio: Mary Baker is an Architect in Computational Design for Additive at HP Inc. in Palo Alto. Her research has covered a broad range of areas including mobile systems and applications, physical affordances for IoT privacy, digital preservation, authentication, and design and workflows for additive manufacturing. Before joining HP she was on the faculty of the computer science department at Stanford University where she led the MosquitoNet and Mobile People Architecture projects and graduated 7 Ph.D. students. She has received a Sloan Foundation Fellowship, an Okawa Foundation Grant, and an NSF CAREER Award. She is an ACM Distinguished Engineer, a Senior Member of the IEEE, a founding member of the editorial board for IEEE Pervasive Computing, and a member of the DARPA Information Science and Technology Study Group.
Departments of ECE and CSE
The Ohio State University, USA
Title: AI-EDGE: An Institute For Future Edge Networks and Distributed Intelligence
Abstract: Networking and AI are two of the most transformative information technologies. These technologies have help improve the quality of the human condition, contributed to national economic competitiveness, national security, and national defense. The Institute is aimed at leveraging the synergies between both networking and AI to (i) design the next generation of edge network. Here the goal will be to distributed intelligence plane will be developed to ensure that these networks are self-healing, adaptive, and self-optimized. (ii) The future of AI is distributed AI and these intelligent and adaptive networks will in turn unleash the power of collaboration to solve long-standing distributed AI challenges, making AI more efficient, interactive, and privacy preserving. The Institute plans to develop the key underlying technologies for distributed and networked intelligence to enable a host of future transformative applications such as intelligent transportation, remote healthcare, distributed robotics, and smart aerospace. Going beyond research, the Institute recognizes that it is a national priority to educate students, professionals, and practitioners in AI and networks, and substantially grow and diversify the workforce. The Institute will develop novel, efficient, and modular ways of creating and delivering education content and curricula at scale, and to spearhead a program that helps build a large diverse workforce in AI and networks spanning K-12 to university students and faculty. In this talk, we will overview the key components of the Institute, identifying a set of interesting research directions. Further, we will also describe through a case study involving caching, why the edge is so different from the core of the network, and how ML tools and techniques can be developed to improve performance.
Bio: Ness Shroff received the Ph.D. degree in Electrical Engineering from Columbia University in 1994. He joined Purdue University immediately thereafter as an Assistant Professor. At Purdue, he became Professor of the school of Electrical and Computer Engineering and director of CWSA in 2004, a university-wide center on wireless systems and applications. In 2007, he joined the ECE and CSE departments at The Ohio State University, where he holds the Ohio Eminent Scholar Chaired Professorship of Networking and Communications. He holds, or has held, visiting (Chaired) Professor positions at Tsinghua University, Beijing, China; Shanghai Jiaotong University, Shanghai, China; and IIT Bombay, Mumbai, India. He has received numerous best paper awards for his research, and is listed in Thomson Reuters’ on The World’s Most Influential Scientific Minds, and has been noted as a Highly Cited Researcher by Thomson Reuters in 2014 and 2015. He currently serves as the Steering Committee Chair for ACM Mobihoc, and Editor in Chief of the IEEE/ACM Transactions on Networking. In 2014, he received the IEEE INFOCOM Achievement Award for seminal contributions to scheduling and resource allocation in wireless networks. He currently serves as the Institute Director of AI-EDGE, a new NSF AI Institute for designing future edge networks and distributed intelligence.
Department of Computer Science
Stony Brook University, USA
Title: Evolution of (my) Research Projects: The Seen and the Unseen
Abstract: During my research career, I have had the opportunity to pursue a few research threads that span over a decade. The seen aspect of these threads are the published papers, ones that present the main advances at various time points. In this talk I will discuss the unseen -- stories behind the evolution of these threads, inspirations, and the lessons learnt along the way. I will ground the talk by describing our work on three topics: Energy, Web performance, and Accessibility. In the energy thread, I will talk about how we got from trying to explain a cellular behavior we were observing, to now working on sustainable NLP. In terms of Web, I will describe how we were trying to understand how the Web worked, which has morphed into our current work on using human cognition to improve Web user experience. I will end with the topic of accessibility. I will describe how we got from working on virtualization to now designing accessible smartphone technologies for users with varying abilities. In all, I hope to convey three takeaways. First, interdisciplinary research allows you to tackle more ambitious problems. Second, solving problems with societal impact is a great motivator that helps you get over that review from Reviewer 2. And third, serendipity often plays a role in making research progress, but it is critical to keep your eyes and ears open.
Bio: Aruna Balasubramanian is an Associate Professor at Stony Brook University. She received her Ph.D from the University of Massachusetts Amherst, where her dissertation won the UMass outstanding dissertation award and was the SIGCOMM dissertation award runner up. She works in the area of networked systems. Her current work consists of two threads: (1) significantly improving Quality of Experience of Internet applications, and (2) improving the usability, accessibility, and privacy of mobile systems. She is the recipient of the SIGMOBILE Rockstar award, a Ubicomp best paper award, a VMWare Early Career award, several Google research awards, and the Applied Networking Research Prize. She is passionate about improving the diversity in Computer Science and broadening participation. She leads the diversity committee at Stony Brook and is an active member of the N2Women group.