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Announcements: (1) Extraordinary PhD admissions from World-Top Universities - Paul Oh; (2) 2 Granted Patents in 5G among 10+ patents in pending.
Professor Sean (Seok-Chul) Kwon received his Ph.D. degree from Georgia Institute of Technology in Atlanta, US in 2013; the M.S. degree from the University of Southern California in 2007; and the B.S. degree from Yonsei University, Seoul, South Korea in 2001. He is the alumnus of Seoul Science High School – National Academy for Gifted Students.
Professor Sean Kwon is Tenured Professor and Associate Professor at California State University - Long Beach; and has been Chief Director/Founder of Wireless Systems Evolution Laboratory (WiSE Lab), since Fall 2017.
He was with Intel Corporation in Silicon Valley, in particular, Next Generation and Standards Division in Communication and Devices Group in 2015 - 2017 working on next-generation communication standards, system design, and associated patents/inventions.
He received offers for postdoctoral research at Massachusetts Institute of Technology (MIT) and University of Southern California (USC); conducted postdoctoral research under the supervision of a world-renowned scholar, Professor Andreas Molisch at Wireless Devices and Systems Group (WiDeS), USC in 2014 - 2015. Dr. Kwon was with the R&D Institute of Pantech co., Ltd, Seoul, South Korea in 2001 to 2004, where he worked on CDMA common air interface focusing on layer-3 protocols.
He was involved in several projects/proposals such as the Aerospace Corporation project; DARPA project; US Army Research Lab project; NSF project; Department of Navy project; and six mobile-station projects for Motorola and Sprint, which were successfully on the market, in addition to several large-scale internal fundings. His current research interests are in next-generation, i.e., 6th generation (6G) wireless system/network design and standards; application of machine learning and federated learning for wireless systems or signal processing; next-generation multiple access and multiplexing, polarization diversity and multiplexing; body area network such as wearable computing and in-vivo communications; and reconfigurable wireless channel modeling. In particular, he has a strong interest in applying artificial intelligence (AI), machine learning and federated learning for wireless communication systems, signal processing and other research fields.
Professor Sean Kwon has more than 50 peer-reviewed publications, patents and technical documents in industry standards; and several research and service awards including Intel invention Disclosure Awards, IEEE international Conference General Chair Service Award, IEEE Conference TPC Vice Chair Service Award, and 5 Best Paper Awards in IEEE international conferences.
Contact
e-mail: sean.kwon@csulb.edu
Research Interests
Research Interests
6G (beyond-5G) wireless communication and networking: multi-polarization superposition beamforming (MPS-Beamforming), polarization reconfigurable MIMO (PR-MIMO), polarization division multiple access (PDMA), next-generation multiple access schemes, e.g., RSMA and NOMA
5G wireless communication system design, network standard architecture and protocols: massive MIMO, millimeter-wave communications, channel state information (CSI) feedback, reference signal (RS) design
Aplication of mahine learning and federated learning
Index modulation (IM) and spatial modulation (SM)
Next-generation mobile ad-hoc network (MANET) routing algorithm
Internet of things (IoT) for the health-care: in-vivo, ex-vivo body area network (BAN) IoT, channel modeling of the wireless BAN biomedical devices
Internet of things (IoT) for the intelligent transportation system (ITS) and wearable computing/driving: in-vehicle and inter-vehicle IoT network modeling, vehicle-to-vehicle (V2V) and infrastructure-to-vehicle (I2V) communications and network modeling
Channel characteristics and modeling of 5G/6G wireless communications: comprehensive multi-polarized multi-path fading channel modeling for a variety of wave-propagation scenarios including macro-cell downlink, vehicle-to-vehicle (V2V), infrastructure-to-vehicle (I2V), and body area network (BAN)
Mesh network and MANET: novel scheme of network coding, channel assignment algorithm
Other issues in the broad area of wireless communications, networking, signal processing and application of machine learning
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