Education

  • University of California, San Diego
    Sept. 2019 - Present
    • Ph.D. Candidate in Electrical and Computer Engineering
  • Korea University
    Mar. 2013 - Feb. 2019
    • Bachelor of Engineering in Electrical Engineering

Publications

International Journal
  • [J5] J. Kang, B. Khaleghi, T. Rosing, and Y. Kim, OpenHD: A GPU-Powered Framework for Hyperdimensional Computing, IEEE Transactions on Computers (TC), Accepted.
  • [J4] G. Armstrong, C. Martino, J. Morris, B. Khaleghi, J. Kang, J. Dereus, Q. Zhu, D. Roush, D. McDonald, A. Gonzalez, J. P Shaffer, C. Carpenter, M. Estaki, S. Wandro, S. Eilert, A. Akel, J. Eno, K. Curewitz, A. D Swafford, N. Moshiri, T. Rosing, R. Knight, Swapping metagenomics preprocessing pipeline components offers speed and sensitivity increases, to appear in American Society for Microbiology mSystems Journal, 2022.
  • [J3] S. Gupta, B. Khaleghi, S. Salamat, J. Morris, R. Ramkumar, J. Yu, A. Tiwari, J. Kang, M. Imani, B. Akansali and T. Rosing, Store-n-Learn: Classification and Clustering with Hyperdimensional Computing across Flash Hierarchy, ACM Transactions on Embedded Computing Systems (TECS), 2022.
  • [J2] S. Gupta, M. Imani, J. Sim, A. Huang, F. Wu, J. Kang, Y. Kim, and T. Rosing, COSMO: Computing with Stochastic Numbers in Memory, ACM Journal on Emerging Technologies in Computing Systems (JETC), 2022.
  • [J1] J. Kang, I. Sohn, and S. H. Lee, Enhanced Message-Passing Based LEACH Protocol for Wireless Sensor Networks, Sensors, 2018. [LINK]
International Conference
  • [C8] R. Chandrasekaran, K. Ergun, J. Lee, D. Nanjunda, J. Kang and T. Rosing, FHDnn: Communication Efficient and Robust Federated Learning for AIoT Networks, In Design Automation Conference (DAC), 2022.
  • [C7] W. Xu, J. Kang and T. Rosing, A Near-Storage Framework for Boosted Data Preprocessing of Mass Spectrum Clustering, In Design Automation Conference (DAC), 2022.
  • [C6] B. Khaleghi, U. Mallappa, D. Yaldiz, H. Yang, M. Shah, J. Kang and T. Rosing, PatterNet: Explore and Exploit Filter Patterns for Efficient Deep Neural Networks, In Design Automation Conference (DAC), 2022.
  • [C5] B. Khaleghi, J. Kang, H. Xu, J. Morris and T. Rosing, GENERIC: Highly Efficient Learning Engine on Edge using Hyperdimensional Computing, In Design Automation Conference (DAC), 2022.
  • [C4] M. Zhou, W. Xu, J. Kang and T. Rosing, TransPIM: A Memory-based Acceleration via Software-Hardware Co-Design for Transformer, In HPCA, 2022.
  • [C3] J. Kang, B. Khaleghi, Y. Kim, T. Rosing, XCelHD: An Efficient GPU-Powered Hyperdimensional Computing with Parallelized Training, In ASP-DAC, 2022.
  • [C2] S. Salamat, J. Kang, Y. Kim, M. Imani, N. Moshiri, and T. Rosing, FPGA Acceleration of Protein Back-Translation and Alignment, In DATE, 2021.
  • [C1] Y. Guo, M. Imani, J. Kang, Y. Kim, S. Salamat, J. Morris, B. Aksanli and T. Rosing, HyperRec: Efficient Recommender Systems with Hyperdimensional Computing, In ASP-DAC, 2021.
Domestic Conference
  • [KC3] J. Kang, I. Sohn, and S. H. Lee, Data Compression-considered LEACH Protocol for Wireless Sensor Networks, JCCI, 2019.
  • [KC2] J. Kang, M. Kim, and S. H. Lee, Maximizing Wireless Sensor Network lifetime by message passing between nodes, Proceedings of Symposium of the Korean Institute of Communications and Information Sciences, 2018. [LINK]
  • [KC1] J. Kang, S. Yoo, and H. Kim, LOS and NLOS classification of UWB signals using CapsNet, Proceedings of Symposium of the Korean Institute of Communications and Information Sciences, 2018. [LINK]

Work/Research Experience

  • Graduate Student Researcher at System Energy Effciency Lab, UC San Diego (Advisor: Prof. Tajana Simunic Rosing)
    Jan. 2020 - Present
    • Acceleration of DNA sequence alignment for protein and nucleotide database on HPC systems
    • Accuracy enhancement and acceleration of hyperdimensional computing algorithms on GPU with High Bandwidth Memory
  • Machine Learning Research Intern at Video Engineering Team, Apple
    June 2022 - Sept. 2022
  • Co-op/Intern at Radeon Technologies Group, AMD
    June 2021 - Sept. 2021
  • Research Intern at System Architecture Research Group, SK Hynix
    June 2020 - Sept. 2020
  • Research Intern at Lab for Informatics, Communications, and Systems, Korea University (Advisor: Prof. Sang Hyun Lee)
    Jan. 2018 - Aug. 2019
    • Message Passing: Led project on lifetime maximization of wireless sensor networks using message-passing algorithm and graphical model approach to distributed optimization and decision
  • Data Engineer at Korea University
    May 2019 - Aug. 2019
    • Data Warehousing: Designed ETL pipeline and RESTful API in data warehouse for integrating and managing campus data

Teaching Experience

  • Teaching Assistant for Engineering Mathematics I (Spring 2017)
  • Peer-tutoring Mentor for Circuit Theory I (Spring 2017)
  • Peer-tutoring Mentor for Data Structure and Algorithm (Fall 2017)

Last Updated: 17 May 2022