IEEE INFOCOM 2023
Rotation Speed Sensing with mmWave Radar
Rong Ding, Haiming Jin and Dingman Shen (Shanghai Jiao Tong University, China)
Speaker Haiming Jin (Shanghai Jiao Tong University)
I am currently a tenure-track Associate Professor in the Department of Computer Science and Engineering at Shanghai Jiao Tong University (SJTU). From August 2021 to December 2022, I was a tenure-track Associate Professor in the John Hopcroft Center (JHC) for Computer Science at SJTU. From September 2018 to August 2021, I was an assistant professor in JHC at SJTU. From June 2017 to June 2018, I was a Postdoctoral Research Associate in the Coordinated Science Laboratory (CSL) of University of Illinois at Urbana-Champaign (UIUC). I received my PhD degree from the Department of Computer Science of UIUC in May 2017, advised by Prof. Klara Nahrstedt. Before that, I received my Bachelor degree from the Department of Electronic Engineering of SJTU in July 2012.
mmEavesdropper: Signal Augmentation-based Directional Eavesdropping with mmWave Radar
Yiwen Feng, Kai Zhang, Chuyu Wang, Lei Xie, Jingyi Ning and Shijia Chen (Nanjing University, China)
Speaker Yiwen Feng (Nanjing University)
Yiwen Feng is currently a PhD student at Nanjing University. She received her bachelor degree from the School of Computer Science and Engineering, South China University of Technology in 2021. Her research interests are in the areas of wireless and smart sensing.
mmMIC: Multi-modal Speech Recognition based on mmWave Radar
Long Fan, Lei Xie, Xinran Lu, Yi Li, Chuyu Wang and Sanglu Lu (Nanjing University, China)
Speaker Long Fan (Nanjing University)
Long Fan is a Ph.D. candidate at State Key Laboratory for Novel Software Technology, Nanjing University(NJU). He received a master's degree from the School of Electrical and Information Engineering, Tianjin University(TJU), in 2020. His research focuses on machine learning, millimeter-wave radar perception, and mobile sensing.
Universal Targeted Adversarial Attacks Against mmWave-based Human Activity Recognition
Yucheng Xie (Indiana University-Purdue University Indianapolis, USA); Ruizhe Jiang (IUPUI, USA); Xiaonan Guo (George Mason University, USA); Yan Wang (Temple University, USA); Jerry Cheng (New York Institute of Technology, USA); Yingying Chen (Rutgers University, USA)
Speaker Yucheng Xie (Indiana University–Purdue University Indianapolis)
Yucheng Xie is a fifth-year Ph.D. student in the Department of Electrical and Computer Engineering at Indiana University-Purdue University Indianapolis. He holds a master’s degree from the Department of Computer Science at Stevens Institute of Technology. His research focuses on machine learning and large data analysis for mobile computing, artificial intelligence in smart health, mobile sensing and mobile healthcare, and cybersecurity and privacy.
Realizing Uplink MU-MIMO Communication in mmWave WLANs: Bayesian Optimization and Asynchronous Transmission
Shichen Zhang (Michigan State University, USA); Bo Ji (Virginia Tech, USA); Kai Zeng (George Mason University, USA); Huacheng Zeng (Michigan State University, USA)
Speaker Shichen Zhang (Michigan State University)
Shichen Zhang is currently a Ph.D. student in the Department of Computer Science and Engineering at Michigan State University (MSU), East Lansing, MI. He received his B.Eng degree in Automation from Beijing University of Technology, Beijing, China, in 2018 and M.Eng degree in Electrical and Computer Engineering from Cornell University, Ithaca, NY, in 2019. His current research interests focus on wireless networks, sensing systems, and machine learning.
mmFlexible: Flexible Directional Frequency Multiplexing for Multi-user mmWave Networks
Ish Kumar Jain, Rohith Reddy Vennam and Raghav Subbaraman (University of California San Diego, USA); Dinesh Bharadia (University of California, San Diego, USA)
Speaker Ish Kumar Jain (UC San Diego)
Ish is a fifth-year PhD candidate at UC San Diego with Prof. Dinesh Bharadia. He holds a master's degree from New York University and bachelors' degree from IIT Kanpur, India. His research focuses on optimizing mmWave connectivity by improving reliability, latency, scalability, and practical deployments. Ish has received the Qualcomm Innovation Fellowship and VMWare research grant, and his research has been published in leading venues such as Sigcomm, NSDI, Infocom, and IEEE journals.
On the Effective Capacity of RIS-enabled mmWave Networks with Outdated CSI
Syed Waqas Haider Shah (IMDEA Networks Institute, Spain & Information Technology University, Pakistan); Sai Pavan Deram and Joerg Widmer (IMDEA Networks Institute, Spain)
outdated CSI, which provides paradigmatic system performance, is difficult. To this end, this work aims to provide practical insights into the tradeoff between the outdatedness of the CSI and the system performance by using the effective capacity as analytical tool. We consider a RIS-enabled mmWave downlink whereby the base station operates under statistical quality-of-service constraints. We find a closed-form expression for the effective capacity that incorporates the degree of optimism of packet scheduling and correlation strength between instantaneous and outdated CSI. Moreover, our analysis allows us to find optimal values of the signal-to-interference-plus-noise-ratio (SINR) distribution parameter and their impact on the effective capacity in different network scenarios. Simulation results demonstrate that better effective capacity can be achieved with suboptimal RIS configuration when the channel estimates are known to be outdated. It allows us to design system parameters that guarantee better performance while keeping the complexity and cost associated with channel estimation to a minimum.
Speaker Joerg Widmer (IMDEA Networks)
Joerg Widmer is Research Professor and Research Director of IMDEA Networks in Madrid, Spain. His research focuses on wireless networks, ranging from extremely high frequency millimeter-wave communication and MAC layer design to mobile network architectures. Joerg Widmer authored more than 200 conference and journal papers and received several awards such as an ERC consolidator grant, the Friedrich Wilhelm Bessel Research Award of the Alexander von Humboldt Foundation, as well as nine best paper awards. He is an IEEE Fellow and Distinguished Member of the ACM.
flexRLM: Flexible Radio Link Monitoring for Multi-User Downlink Millimeter-Wave Networks
Aleksandar Ichkov and Aron Schott (RWTH Aachen University, Germany); Petri Mähönen (RWTH Aachen University, Germany & Aalto University, Finland); Ljiljana Simić (RWTH Aachen University, Germany)
Speaker Aleksandar Ichkov (RWTH Aachen University)
Aleksandar Ichkov has received his Bachelor of Engineering and Master of Science degrees from Ss. Cyril and Methodius University in Skopje in 2014 and 2017, respectively. He is currently purchasing his Doctor of Philosophy degree at the RWTH Aachen University. His main research interests are in the areas of millimeter-wave networks, beam management and multi-user provisioning.
MIA: A Transport-Layer Plugin for Immersive Applications in Millimeter Wave Access Networks
Zongshen Wu (University of Wisconsin Madison, USA); Chin-Ya Huang (National Taiwan University of Science and Technology, Taiwan); Parmesh Ramanathan (WISC, France)
Speaker Zongshen Wu (University of Wisconsin - Madison)
Zongshen Wu is a PhD candidate at University of Wisconsin - Madison.
High-speed Machine Learning-enhanced Receiver for Millimeter-Wave Systems
Dolores Garcia and Rafael Ruiz (Imdea Networks, Spain); Jesús O. Lacruz and Joerg Widmer (IMDEA Networks Institute, Spain)
Speaker Rafael Ruiz Ortiz
Rafael Ruiz Ortiz received the bachelor’s degree in industrial electronics and automation engineering from the Universidad Politecnica de Cartagena, Cartagena, Spain. He is currently a PhD student at Universidad Carlos III, Madrid, Spain and a research engineer with IMDEA Networks Institute. His research interests include digital embedded system design and the implementation of accelerators based on FPGA devices.
Argosleep: Monitoring Sleep Posture from Commodity Millimeter-Wave Devices
Aakriti Adhikari and Sanjib Sur (University of South Carolina, USA)
Speaker Aakriti Adhikari (University of South Carolina)
Aakriti Adhikari is currently pursuing her Ph.D. in the Department of Computer Science and Engineering at the University of South Carolina, Columbia. Her research focuses on wireless systems and ubiquitous sensing, particularly in developing at-home wireless solutions in the healthcare domain using millimeter-wave (mmWave) technology in 5G and beyond devices. Her research has been regularly published in top conferences in these areas, such as IEEE SECON, ACM IMWUT/UBICOMP, HotMobile, and MobiSys. Aakriti has received multiple awards, including student travel grants for conferences like IEEE INFOCOM (2023), ACM HotMobile (2023), and Mobisys (2022). Additionally, she currently has three patents pending. She has also been invited to participate in the CRA-WP Grad Cohort for Women (2023) and Grace Hopper Celebration (2020, 2021).
Safehaul: Risk-Averse Learning for Reliable mmWave Self-Backhauling in 6G Networks
Amir Ashtari Gargari (University of Padova, Italy); Andrea Ortiz (TU Darmstadt, Germany); Matteo Pagin (University of Padua, Italy); Anja Klein (TU Darmstadt, Germany); Matthias Hollick (Technische Universität Darmstadt & Secure Mobile Networking Lab, Germany); Michele Zorzi (University of Padova, Italy); Arash Asadi (TU Darmstadt, Germany)
Speaker Andrea Ortiz (TU Darmstadt)
Dr.-Ing. Andrea Ortiz is a Post-Doctoral researcher at the Communications Engineering Laboratory at Technische Universität Darmstadt, Germany. Her research focuses on the application of reinforcement learning and signal processing for resource allocation in wireless communications. She is the recipient of several awards including the “Dr. Wilhelmy-VDE-Preis” given by the German Association for Electrical, Electronic and Information Technologies (VDE), and the Best Dissertation Award from the Electrical Engineering and Information Technology Department of Technische Universität Darmstadt.