I am Yae Jee Cho, a first-year Ph. D student at Carnegie Mellon University.
I am advised by Prof. Gauri Joshi, in the Optimization, Probability and Learning (OPAL) Lab. Our research group is affiliated with the Parallel Data Lab. My current research interests are in optimization theory and distributed machine learning, in particular, federated learning.
Before joining OPAL, I worked at Mercedes-Benz Korea as a Research & Development Engineer in the Drivers Assistance Systems division. I have previously worked with Prof. Chan-Byoung Chae on analytical channel modeling in wireless communication, vehicular communication, and molecular communications.
I also enjoy playing the piano, walking my dog, and volunteering during my free time.
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- Sep. 2018 - June 2019 / R&D Engineer / Drivers Assistance Systems at Mercedes-Benz R&D Korea (Seoul, South Korea)
- Mar. 2016 - Aug. 2018 / Research Assistant / Intelligence Networking Lab, Yonsei Univ. (Seoul, South Korea)
- Jul. 2017 - Aug. 2017 / Visiting Scholar / Wireless@HKU Group, Hong-Kong Univ. (Pok Fu Lam, Hong Kong)
- Aug. 2015 / Student / Qualcomm IT class of 2015 (San Diego, CA)
- July 2014 - Aug. 2014 / Student / Summer Development Program at Aalto Design Factory, Aalto Univ. (Helsinki, Finland)
- Doctoral Study Abroad Scholarship ($80K in total), Ministry of Education, Republic of Korea 2019-2021
- Honor Prize in 24th Samsung Human Tech Paper Award, co-recipient, Samsung 2018
- Outstanding Young Researcher Award, The Korean Inst. of Comm. and Info. Sciences (KICS) 2016
- Full scholarship-graduate school ($49K in total), Inst. for Info. & Comm. Tech. Promo. (IITP) 2016-2017
- Most Original Idea Prize for International Women’s Hackathon, Microsoft 2014
- Honors for Academic Excellence, Yonsei University 2013-2015
- Full scholarship-undergraduate school ($45K in total), Inst. for Info. & Comm. Tech. Promo. (IITP) 2013-2015
Publications & Patent
Y.-G. Lim, , M. S. Sim, Y. Kim, C.-B. Chae, and R. Valenzuela, “Map-based Millimeter-Wave Channel Models: An Overview, Hybrid Modeling, Data, and Learning,” submitted to IEEE Wireless Communications Magazine, 2019 pdf
, K. Huang, and C.-B. Chae, “V2X Downlink Coverage Analysis with a Realistic Urban Vehicular Model,” Proc. IEEE Global Communications Conference (GLOBECOM) Workshops, Dec 2018 (Abu Dhabi, UAE) pdf
Y.-G. Lim, , T. Oh, Y. Lee, and C.-B. Chae, “Relationship between Cross Polarization Discrimination (XPD) and Spatial Correlation for Indoor Small Cell MIMO Systems,” IEEE Wireless Communications Letters, vol. 7, no. 4, pp. 654-657, Aug. 2018 pdf
, G.-Y. Suk, B. Kim, D.-K. Kim, and C.-B. Chae, “RF Lens Embedded Antenna Array for mmWave MIMO: Design and Performance,” IEEE Communications Magazine, vol. 56, no. 7, pp. 42-48, July 2018 pdf
, H. B. Yilmaz, W. Guo, and C.-B. Chae, “Effective Inter-symbol Interference Mitigation with a Limited Amount of Enzymes in Molecular Communications,” Trans. on Emerging Telecommunications Technologies (ETT), Special Issue on Enabling Nano-Networking via Molecular Communications, vol. 28, no. 7, pp. 1-12, July 2017 pdf
, H. B. Yilmaz, W. Guo, and C.-B. Chae, “Effective Enzyme Deployment for Inter-Symbol Interference Mitigation in Molecular Communication,” Proc. IEEE Wireless Communications and Networking Conference (WCNC), March 2017 (San Francisco, USA) pdf
H. B. Yilmaz, C. Lee, , and C.-B. Chae, “A Machine Learning Approach to Model the Received Signals in Molecular Communications,” Proc. of IEEE International Black Sea Conference on Communications and Networking (IEEE BlackSeaCom), June 2017 (Istanbul, Turkey)pdf
H. B. Yilmaz, , W. Guo, and C.-B. Chae, “Interference Reduction via Enzyme Deployment for Molecular Communication,” IEEE Electronics Letters, vol. 52, no. 13, pp. 1094-1096, June 2016 pdf
C.-B. Chae, B. Koo, , “METHOD FOR RECEIVING DATA IN MIMO MOLECULAR COMMUNICATION SYSTEM.” U.S. Patent Application 20170346512, issued November 30, 2017
Last Updated 2 Nov. 2019