Age, Biography and Wiki

Chan-Byoung Chae was born on 1976, is a computer. Discover Chan-Byoung Chae's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is He in this year and how He spends money? Also learn how He earned most of networth at the age of 47 years old?

Popular As N/A
Occupation Computer scientist, electrical engineer, and academic
Age 47 years old
Zodiac Sign
Born 1976, 1976
Birthday 1976
Birthplace N/A
Nationality

We recommend you to check the complete list of Famous People born on 1976. He is a member of famous computer with the age 47 years old group.

Chan-Byoung Chae Height, Weight & Measurements

At 47 years old, Chan-Byoung Chae height not available right now. We will update Chan-Byoung Chae's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.

Physical Status
Height Not Available
Weight Not Available
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Dating & Relationship status

He is currently single. He is not dating anyone. We don't have much information about He's past relationship and any previous engaged. According to our Database, He has no children.

Family
Parents Not Available
Wife Not Available
Sibling Not Available
Children Not Available

Chan-Byoung Chae Net Worth

His net worth has been growing significantly in 2022-2023. So, how much is Chan-Byoung Chae worth at the age of 47 years old? Chan-Byoung Chae’s income source is mostly from being a successful computer. He is from . We have estimated Chan-Byoung Chae's net worth , money, salary, income, and assets.

Net Worth in 2023 $1 Million - $5 Million
Salary in 2023 Under Review
Net Worth in 2022 Pending
Salary in 2022 Under Review
House Not Available
Cars Not Available
Source of Income computer

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Timeline

2020

Chae is an IEEE Fellow (nominated by ComSoc) and an IEEE ComSoc Distinguished Lecturer for the term 2020–203.

2017

In 2017, Chae introduced a novel machine learning technique for modeling the molecular MIMO channel and confirmed its effectiveness using numerical studies. He also provided an overview of map-based mmWave channel models, and proposed a concept of how they can be utilized to integrate a hardware testbed/sounder with a software testbed/sounder. He categorized mapbased channel parameters and also provided guidelines for hybrid modeling. While focusing his studies on Artificial Intelligence (AI) and Machine Learning (ML) approaches, he addressed the special issues on advances and applications of artificial intelligence and machine learning for wireless communications. In another study, he employed the artificial neural networks technique, and modeled the received signal for a spherical transmitter and a perfectly absorbing receiver. while examining multiuser MIMO communication from an algorithmic perspective, he discussed performance gains, tradeoffs, and practical considerations, and also explored several approaches including non-linear and linear channelaware precoding in this context.

2014

At Yonsei University, he developed a research program in wireless communications with a strong real-time prototyping component. One area of focus was on full-duplex wireless communications, where the transmitter and receiver at a device can use the same spectrum simultaneously. His group debuted a system on real-time full duplex radios at IEEE GLOBECOM 2014. His group developed and demonstrated more sophisticated full duplex MIMO strategies, reinforcement learning based flexible MIMO, wireless virtual reality (VR)/haptic MIMO and more at every following GLOBECOM till 2019. He received the Best Demo Award from IEEE DySPAN in 2018 for his demo system on OP-map based flexible duplex MIMO system.

2008

Chae discussed the applications of multi-user MIMO (MU-MIMO) networks in terms of revealing the unique opportunities arising from a joint optimization of antenna combining techniques with resource allocation protocols. He conducted a technology readiness analysis of molecular communication, highlighted the recent advancements in the field of MC engineering, and also demonstrated the biological, chemical, and physical processes used by an MC system. In 2008, he proposed a new joint optimization of linear transmit beamforming and highlighted combining vectors for the multiple-input multiple-output (MIMO) broadcast channel. Using Monte Carlo simulations, he evaluated the bit error rate and the sum rate performances of the proposed algorithm, and showed that the proposed method performs close to the sum capacity of the MIMO broadcast channel even with limited feedback. In another study, he proposed four detection algorithms, including adaptive thresholding, practical zero forcing with channel models excluding/including the ILI and ISI, and Genie-aided zero forcing.

2005

Chae begin his academic career as a graduate research assistant at The University of Texas in October 2005. He was also appointed there as a teaching assistant and guest lecturer in 2007. In 2011, he joined Yonsei University, and has been serving there as an Underwood Distinguished Professor, as the director of Intelligence Networking Laboratory, and as head of the School of Integrated Technology since then. At Stanford University, he held appointment as a visiting professor in 2017.

2001

Chae graduated (ranked first) with a master's degree in electrical engineering from Korea Advanced Institute of Science and Technology (KAIST) in 2001. From 2005 till 2008, he was awarded Korea Government Fellowship for his Ph.D. Studies, and subsequently earned his doctoral degree in electrical and computer engineering in 2008 under the supervision of Robert W. Heath, Jr. From 2008 to 2009, he was a postdoctoral fellow and lecturer at Harvard University.

Prior to joining UT, Chae was a research engineer at the Advanced Research Lab., the Telecommunications R&D Center, in and Samsung Electronics, Suwon, Korea, from 2001 to 2005. While at Samsung, he participated in the IEEE 802.16e and 3GPP standardization, where he made several contributions and filed a number of related patents. He has also served as a member of technical staff (research scientist) at Bell Laboratories in Murray Hill, New Jersey, in US from 2009 to 2011.