Taejoon Kim

Arizona State University

Taejoon Kim 김태준

Associate Professor

School of Electrical, Computer and Energy Engineering
Ira A. Fulton Schools of Engineering

Goldwater Center 208, Tempe, AZ 85287
taejoonkim@asu.edu

Curriculum Vitae Google Scholar ASU ECEE

About

I work at the intersection of wireless communications, statistical signal processing, machine learning, and security. My research develops theory-guided methods for resilient communication, distributed sensing and fusion, MIMO and high-frequency systems, coding, information theory, and integrated sensing and communications.

I received my Ph.D. in Electrical and Computer Engineering from Purdue University, my M.S. from KAIST, and my B.S. from Sogang University. Before joining Arizona State University in 2024, I was on the faculty at the University of Kansas and City University of Hong Kong and worked as a researcher at Nokia Bell Labs, KTH, and ETRI.

30 issued U.S. patents $8M external funding as PI IEEE Senior Member

Research

Research Areas

Resilient and Secure Communications

Physical-layer security, anti-jamming methods, secret sharing, robust coding, and zero-trust approaches for 5G and beyond.

Distributed Sensing and Fusion

Distributed learning, over-the-air aggregation, compressed transmission, spectrum intelligence, and resource-aware sensor fusion.

Machine Learning for Communications

Theory-guided learning for coding, detection, channel estimation, federated learning, and adaptive wireless systems.

MIMO, Millimeter-Wave, and THz Systems

Massive MIMO, cell-free architectures, hybrid precoding, beam alignment, channel estimation, and high-frequency network design.

Information and Coding Theory

Feedback and two-way communication, quantum LDPC decoding, approximate message passing, and short-blocklength coding.

Integrated Sensing and Communications

Radar waveform and beam design, sensing parameter estimation, and spectrum-compatible joint communication and sensing.

Recognition

Awards and Honors

Publications

Publications

Publication information is drawn from the current CV. Entries are intentionally presented without paper-level links.

Submitted Journal and Journal-Equivalent Papers

  1. A. Morteza, W. M. Chan, R. A. Chou, and T. Kim“Two-Dimensional Threshold Secret Sharing,” submitted to IEEE Transactions on Information Theory 2026.
  2. M. Moradi, T. Kim, and R. A. Chou, “Learning-Based List Sequential Belief Propagation Decoding of Quantum LDPC Codes,” submitted to IEEE Transactions on Communications, 2026.
  3. M. Moradi, T. Kim, R. A. Chou, and D. G. M. Mitchell, “Learning to Decode Quantum LDPC Codes via Cluster-Based Sequential Belief Propagation,” submitted to Quanum, 2026.
  4. G. Aissou, S. Habib, R. Chou, and T.Kim, “DOOR-Net: Domain-Adaptive Open-Set Region Learning for Robust Zero-Day Jamming Detection,” submitted to IEEE Wireless Communication Letters, 2026
  5. X. Ma, S. Zehtabi, Y. Zou, T. Kim, and C. G. Brinton, “Transmit Coefficients and Receive Combining Vector Design for OTA-FL with Imperfect CSI,” submitted to IEEE Transactions on Wireless Communications, 2026.
  6. D. Q. Ngueyn, M. Hashemi, E. Perrins, S. A. Vorobyov, D. J. Love, and T. Kim, “Privacy-Preserving Quantized Federated Learning with Diverse Precision,” submitted to IEEE Transactions on Communications, 2026.
  7. V. Rana, R. Chou, and T. Kim, “Improving the Robustness of Autoencoder-Based Channel Codes Against Jamming,” submitted to IEEE Communication Letters, 2026.
  8. M. S. Oh, A. B. Das, T. Kim, D. J. Love, and C. G. Brinton, “Energy-Aware Client Selection and Resource Allocation for Federated Learning-Based Positioning: a Deep Reinforcement Learning Approach,” submitted to IEEE Transactions on Vehicular Technology, 2026. Published

Published Journal and Journal-Equivalent Papers

  1. S. Mathad, L. V. Nguyen, T. Kim, S. A. Vorobyov and D. J. Love, “Interference Management Techniques in Cell-Free Massive MIMO to Protect Legacy Wireless Systems,” IEEE Transactions on Communications, vol. 74, pp. 12945-12958, 2026.
  2. S. Mathad, T. Kim, and D. J. Love, “Protecting Legacy Wireless Systems Against Interference: Precoding and Codebook Approaches Using Massive MIMO and Region Constraints,” IEEE Transactions on Wireless Communications, vol. 25, pp. 16745-16760, 2026.
  3. T. Zhang, T. Kim, S. Vorobyov, and D. J. Love, “A Novel Multibeam Time-Division ISAC Approach for Accurate Sensing Parameter Estimation,” IEEE Transactions on Wireless Communications, vol. 25, pp. 16304-16319, 2026.
  4. S. Habib, R. Chou, and T. Kim, “Distributed Functional Mechanism in Shallow Networks: Differential Privacy Without Gradient Noise,” IEEE Transactions on Information Forensics and Security, vol. 21, pp. 6621-6636, 2026.
  5. T. Zhang, T. Kim, S. Vorobyov, and D. J. Love, “Pilot Contamination-Aware Graph Attention Network for Power Control in CFmMIMO,” IEEE Wireless Communication Letters, vol. 15, pp. 1464-1468, 2026.
  6. V. Rana, R. Chou, and T. Kim, “Helper-Assisted Coding for Gaussian Wiretap Channels: Deep Learning Meets PhySec,” IEEE Transactions on Communications, vol. 73, no. 12, pp. 13199-13213, Dec. 2025.
  7. S. Habib, R. Chou, and T. Kim, “Reduced Complexity Interval Passing for Sparse Signal Recovery,” IEEE Transactions on Information Theory, vol. 71, no. 10, pp. 8080-8098, 2025.
  8. J. Kim, T. Kim, A. Das, S. Hosseinalipour, D. Love, and C. Brinton, “Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches,” IEEE Transactions on Information Theory, vol. 71, no. 7, pp. 49765012, July 2025.
  9. O. Kandelusi and T. Kim, “Buffer-Aided Distributed Compressed Transmission and Fusion Under Energy and Reliability Constraints,” IEEE Transactions on Green Communications and Networking, vol. 9, no. 3, pp. 789-801, September 2025.
  10. M. Gaydos, T. Kim, D. J. Love, “Constant Modulus Precoded MIMO Radar Based on Zadoff-Chu Sequences,” IEEE Transactions on Radar Systems , vol. 2, pp. 677-689, August 2024.
  11. D. Q. Nguyen and T. Kim, “Joint Hybrid Delay-Phase Precoding Under True-Time Delay Constraints in Wideband Sub-THz Massive MIMO Systems,” IEEE Transactions on Communications, vol. 72, no. 10, pp. 6633-6646, October 2024.
  12. M. S. Oh, A. B. Das, T. Kim, D. J. Love, and C. G. Brinton, “Minimum Description Feature Selection for Complexity Reduction in Machine Learning-based Wireless Positioning,” IEEE Journal on Selected Areas in Communications, vol. 42, no. 9, pp. 2585-2600, September 2024.
  13. M. S. Oh, A. B. Das, S. Hosseinalipour, T. Kim, D. J. Love, and C. G. Brinton, “A Decentralized Pilot Assignment Methodology for Scalable O-RAN Cell-Free Massive MIMO,” IEEE Journal on Selected Areas in Communications, vol. 42, no. 2, Nov 2023.
  14. W. Zhang and T. Kim, “Successful Recovery Performance Guarantees of SOMP Under the `2 -Norm of Noise,” IEEE Transactions on Vehicular Technologies, vol. 73, no. 2, pp. 2156 – 2170, Aug 2023.
  15. M. S. Oh, S. Hosseinalipour, T. Kim, D. J. Love, J. V. Krogmeier, and C. G. Brinton, “Dynamic and Robust Sensor Selection Strategies for Wireless Positioning with TOA/RSS Measurement,” IEEE Transactions on Vehicular Technology, vol. 72, no. 11, pp. 14656 - 14672, May 2023.
  16. J. Kim, T. Kim, D. J. Love, and C. G. Brinton, “Robust Non-Linear Feedback Coding via Power-Constrained Deep Learning”, International Conference on Machine Learning (ICML), July 2023.
  17. Q. Duan, H. Ghauch, and T. Kim, “Dual Optimization for Kolmogorov Model Learning Using Enhanced Gradient Descent”, IEEE Transactions on Signal Processing, vol. 70, pp. 963-977, February 2022.
  18. W. Zhang, M. Dong, and T. Kim, “MMV-Based Sequential AoA and AoD Estimation for Millimeter Wave MIMO Channels,” IEEE Transactions on Communications, vol. 70, no. 6, pp. 4063 - 4077, June 2022.
  19. J. Kim, S. Hosseinalipour, A. C. Marcum, T. Kim, D. J. Love, and C. G. Brinton, “Learning-based Adaptive IRS Control with Limited Feedback Codebooks,” IEEE Transactions on Wireless Communications, vol. 21, no. 11, pp. 9566 - 9581, November 2022.
  20. M. Dong, M. Cho, K. Lee, and S. Yoon, T. Kim,“Cost-Optimal Deployment of Millimeter-Wave Base Stations Under Outage Requirement”, IEEE Transactions on Wireless Communications, vol. 21, no. 12, pp. 10544 10559, December 2022.
  21. Y. Yang, G. Li, T. Kim, G. Wang, “An Unsupervised Domain Adaptation Model based on Dual-module Adversarial Training”, Neurocomputing, vol. 475, pages 102-111, February 2022.
  22. Q. Duan, T. Kim, and H. Ghauch, “KM Learning for Millimeter-Wave Beam Alignment and Tracking: Predictability and Interpretability”, IEEE Access, August 2021.
  23. J. Kim, T. Kim, M. Hashemi, C. G. Brinton, and D. J. Love, “Minimum Overhead Beamforming and Resource Allocation in D2D Edge Networks”, IEEE/ACM Transactions on Networking, vol. 30, no. 4, pp. 1454 - 1468, December 2021.
  24. G. Xiong, T. Kim, D. J. Love, and E. Perrins, “Optimality Conditions of Performance-Guaranteed Power Minimization in MIMO Networks: A Distributed Algorithm and Its Feasibility,” IEEE Transactions on Signal Processing, vol. 69, pp. 119-135, November 2020.
  25. W. Zhang, T. Kim, and S. H. Leung, “A Sequential Subspace Method for Millimeter Wave MIMO Channel Estimation,”IEEE Transactions on Vehicular Technology, vol. 69, no. 5, pp. 5355-5368, April 2020.
  26. M. Dong, T. Kim, J. Wu, and E. Wong, “Millimeter-Wave Base Station Deployment Using the Scenario Sampling Approach,” IEEE Transactions on Vehicular Technology, vol. 69, no. 11, pp. 14013-14018, November 2020.
  27. Q. Duan, T. Kim, D. Lin, and E. Perrins, “Coherence Statistics of Structured Random Ensembles and Support Detection Bounds for OMP,” IEEE Signal Processing Letters, vol. 26, no. 11, pp. 1638 - 1642, September 2019.
  28. W. Zhang, T. Kim, G. Xiong, and S. H. Leung, “Leveraging Subspace Information for Low-Rank Matrix Reconstruction”, Signal Processing, vol. 163, pp. 123-131, May 2019.
  29. M. Dong, T. Kim, J. Wu, and E. Wong, “Cost-Efficient Millimeter Wave Base Station Deployment in Manhattan-Type Geometry,” IEEE Access, vol. 7, pp. 149959-149970, October 2019.
  30. W. Zhang, T. Kim, D. J. Love, and E. Perrins, “Leveraging the Restricted Isometry Property: Improved LowRank Subspace Decomposition for Hybrid Millimeter-Wave Systems,” IEEE Transactions on Communications, vol. 66, no. 11, pp. 5814-5827, November 2018.
  31. M. Dong and T. Kim, “Interference Analysis for Millimeter Wave Networks with Geometry-Dependent FirstOrder Reflections,” vol. 67, no. 12, pp. 12404-12409, IEEE Transactions on Vehicular Technology, December 2018.
  32. H. Ghauch, T. Kim, M. Bengtsson, and M. Skoglund, “Sum-rate Maximization in Sub-28 GHz MillimeterWave MIMO Interfering Networks,” IEEE Journal of Selected Areas in Communications, vol. 35, no. 7, pp. 1649-1662, July 2017.
  33. H. Ghauch, T. Kim, M. Bengtsson, and M. Skoglund, “Subspace Estimation and Decomposition for Large Millimeter-Wave MIMO Systems,” IEEE Journal of Selected Topics in Signal Processing, vol. 10, no. 3, pp. 528-542, April 2016.
  34. A. A.I. Ibrahim, T. Kim, and D. J. Love, “On the Achievable Rate of Generalized Spatial Modulation Using Multiplexing Under a Gaussian Mixture Model,” IEEE Transactions on Communications, vol. 64, no. 4, pp. 1588-1599, April 2016.
  35. T. Kim, D. J. Love, M. Skoglund, and Z. Jin, “An Approach to Sensor Network Throughput Enhancement by PHY-Aided MAC,” IEEE Transactions on Wireless Communications, vol. 14, no. 02, pp. 670-684, February 2015.
  36. H. Ghauch, T. Kim, M. Bengtsson, and M. Skoglund, “Distributed Low-Overhead Schemes for Multi-stream MIMO Interference Channels,” IEEE Transactions on Signal Processing, vol. 63, no. 07. 1737-1749, April 2015.
  37. T. Kim, I. Kim, Y. Sun, and Z. Jin, “Physical Layer and Medium Access Control Design in Energy Efficient Sensor Networks: An Overview,” IEEE Transactions on Industrial Informatics, vol. 11, no. 01, pp. 02-15, February 2015.
  38. T. Kim and M. Dong, “An Iterative Hungarian Method to Joint Relay Selection and Resource Allocation for D2D Communications,” IEEE Wireless Communications Letters, vol. 03, no. 06, pp. 625-628, December 2014.
  39. A. J. Duly, T. Kim, D. J. Love, and J. V. Krogmeier, “Closed-loop Beam Alignment for Massive MIMO Channel Estimation,” IEEE Communications Letters, vol. 18, no. 08, pp. 1439-1442, August 2014.
  40. Y. Choi, J. Chun, T. Kim, and J. Bae, “The Schur algorithm applied to the one-dimensional continuous inverse scattering problem,” IEEE Transactions on Signal Processing, vol. 61, no. 13, pp. 3311-3320, July 2013.
  41. S. Hur, T. Kim, D. J. Love, J. V. Krogmeier, T. A. Thomas, and A. Ghosh, “Millimeter Wave Beamforming for Wireless Backhaul and Access in Small-Cell Networks,” IEEE Transactions on Communications, vol. 61, no. 10, pp. 4391-4403, October 2013. (Best Paper Award of the IEEE Transactions on Communications, 2016 Stephen O. Rice Prize).
  42. K. Kim, T. Kim, I. Kim, and D. J. Love, “Differential Feedback in Codebook-Based Multiuser MIMO Systems in Slowly Varying Channels,” IEEE Transactions on Communications, vol. 60, no. 02, pp. 578-588, February 2012.
  43. Y. J. Kim, X. Li, T. Kim, and D. J. Love, “Combination Lock-like Differential Codebook for Temporally Correlated Channels,” Electronics Letters, IET, volume 48, issue 01, pp. 45-47(2), January 2012.
  44. T. Kim, D. J. Love, and B. Clerckx, “MIMO Systems with Limited Rate Differential Feedback in Slow Varying Channels,” IEEE Transactions on Communications, vol. 59, no. 03, pp. 1175-1189, March 2011.
  45. T. Kim, D. J. Love, and B. Clerckx, “Does Frequent Low Resolution Feedback Outperform Infrequent High Resolution Feedback for Multiple Antenna Beamforming Systems?,” IEEE Transactions on Signal Processing, vol. 59, no. 04, pp. 1654-1669, April 2011.
  46. T. Kim, B. Clerckx, D. J. Love, and S. Kim, “Limited Feedback Beamforming Systems for Dual-Polarized MIMO Channels,” IEEE Transactions on Wireless Communications, vol.9, no.11, pp. 3425-3439, November 2010.

Conference Papers

  1. S. A. H. Shirazi, S. A. Vorobyov, D. J. Love, and T. Kim, “Spectrally Compatible Radar Waveform Design in Waveform Dependent Clutter Environments,” 60th Asilomar Conference on Signals, Systems, and Computers, 2026.
  2. G. Aissou, R. Chou, and T. Kim. “Co-evolving Zero-Day Jamming: Adaptive Attack Synthesis and Graph Attention-Based Online Detection,” IEEE Global Communications Conference (GLOBECOM), 2026.
  3. M. Moradi, T. Kim, and R. A. Chou, “High-Performance Reinforcement-Learned Belief-Propagation Decoding of Quantum LDPC Codes,” IEEE International Conference on Quantum Computing and Engineering (QCE), 2026.
  4. M. Moradi, T. Kim, and R. A. Chou, “Conflict-Free Color-Clustered Sequential Belief-Propagation Decoding of Quantum LDPC Codes via Reinforcement Learning,” IEEE International Conference on Quantum Computing and Engineering (QCE), 2026.
  5. M. Moradi, T. Kim, and R. A. Chou, “Learning-Based List Sequential Belief Propagation Decoding of Quantum LDPC Codes,” IEEE Information Theory Workshop (ITW), 2026.
  6. M. Moradi, T. Kim, R. A. Chou, and D. G. Mitchell, “Learning to Decode Quantum LDPC Codes via ClusterBased Sequential Belief Propagation,” IEEE Information Theory Workshop (ITW), 2026.
  7. T. Zhang, T. Kim, S. A. Vorobyov, and D. J. Love, “A Novel Multibeam Time-Division ISAC Approach with Accurate Sensing,” ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2026, pp. 22617-22621.
  8. X. Ma, S. Zehtabi, T. Kim, and C. G. Brinton, “Error Analysis for Over-the-Air Federated Learning under Misaligned and Time-Varying Channels,” IEEE Global Communications Conference, 2025.
  9. G. Aissou, S. Habib, R. A. Chou, and T. Kim, “Feedback-Assisted Decentralized Q-Learning for Dynamic Spectrum Access,” 59th Asilomar Conference on Signals, Systems, and Computers, 2025.
  10. W. M. Chan, R. A. Chou, and T. Kim, “Multi-Layer Secret Sharing for Cross-Layer Attack Defense in 5G Networks: a COTS UE Demonstration,” MILCOM 2025 - 2025 IEEE Military Communications Conference (MILCOM), LA, CA, USA, 2025.
  11. W. M. Chan, R. A. Chou, and T. Kim, “Two-Dimensional XOR-Based Secret Sharing for Layered Multipath Communication,” MILCOM 2025 - 2025 IEEE Military Communications Conference (MILCOM), LA, CA, USA, 2025.
  12. D. Q. Ngyuen and T. Kim, “On the Privacy-Distortion Trade-off for Differentially-Private Stochastic Quantization,” 59th Asilomar Conference on Signals, Systems, and Computers, 2025.
  13. S. Habib, R. A. Chou, and T. Kim, “Sequential Interval Passing for Compressed Sensing,” IEEE International Symposium on Information Theory (ISIT), June 2025.
  14. Y. Jang, M. Zhang, A. Kirchner, B. A. Jones, V. Marojevic, T. Kim, and D. J. Love, “Optimization of Error Pattern Embedding Steganography within Error-Correcting Code Frameworks,” MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM), Washington, DC, USA, 2024, pp. 1094-1099.
  15. H. Mohammadi, M. Zhang, A. Jha, V. Marojevic, R. Chou and T. Kim, “Fortifying 5G Networks: Defending Against Jamming Attacks with Multipath Communications,” MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM), Washington, DC, USA, 2024, pp. 680-681.
  16. A. Jha, S. Kashani, M. Hossein, A. Kirchner, M. Zhang, R. A. Chou, S. W. Kim, H. M. Kwon, V. Marojevic, and T. Kim, “Enhancing NextG Wireless Security: A Lightweight Secret Sharing Scheme with Robust Integrity Check for Military Communications,” MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM), Washington, DC, USA, 2024, pp. 1-6.
  17. S. Mathad, T. Kim, and D. J. Love, ”Protecting Legacy Wireless Systems Against Interference using Massive MIMO,” IEEE the 58th Asilomar Conference on Signals, Systems, and Computers, October 2024.
  18. D. Q. Nguyen and T. Kim, “No Analog Combiner TTD-based Hybrid Precoding for Multi-User Sub-THz Communications,” IEEE International Conference on Communications (ICC), June 2024.
  19. V. Rana, R. A. Chou, and T. Kim, “Short Blocklength Secret Coding via Helper-Assisted Learning over the Wiretap Channel,” IEEE International Conference on Communications (ICC), June 2024.
  20. M. S. Oh, A. B. Das, T. Kim, D. J. Love, and C. G. Brinton, “Complexity Reduction in Machine Learning-Based Wireless Positioning: Minimum Description Features,” IEEE International Conference on Communications (ICC), June 2024.
  21. D. Q. Nguyen and T. Kim, “On the Stability of Approximate Message Passing with Independent Measurement Ensembles,” IEEE International Symposium on Information Theory (ISIT), June 2023.
  22. O. Kandelusy, C. Brinton, and T. Kim, “Distributed Quantized Transmission and Fusion for Federated Machine Learning,” IEEE Vehicular Technology Conference (VTC), October 2023.
  23. D. Q. Nguyen and T. Kim, “Time-Varying Noise Variance Perturbation and Power Control for PrivacyPreserving Wireless Federated Learning,” the 57th Asilomar Conference on Signals, Systems, and Computers, October 2023.
  24. W. M. Chan, T. Kim et al., “Adaptive Frequency Hopping for 5G New Radio mMTC Security,” IEEE International Conference on Industrial Technology (ICIT), Orlando, FL, April 2023.
  25. D. Q. Nguyen and T. Kim, “Joint Delay and Phase Precoding Under True-Time Delay Constraint for THz Massive MIMO,” IEEE International Conference on Communications (ICC), Seoul, Korea, May 2022.
  26. J. Kim, S. Hosseinalipour, A. C. Marcum, T. Kim, D. Love, and C. G. Brinton, “Deep Reinforcement LearningBased Adaptive IRS Control with Limited Feedback Codebooks,” IEEE International Conference on Communications (ICC), Seoul, Korea, May 2022.
  27. R. Simion, T. Kim, and Erik S. Perrins, “Machine Learning With Gaussian Process Regression For TimeVarying Channel Estimation,” IEEE International Conference on Communications (ICC), Seoul, Korea, May 2022.
  28. Y. Yang, T. Kim, and G. Wang,“Multiple Classifiers Based Adversarial Training for Unsupervised Domain Adaptation,” Conference on Robots and Vision (CRV), 2022.
  29. J. Kim, S. Hosseinalipour, T Kim, D. J. Love, and C. G. Brinton, “Linear Coding for Gaussian Two-Way Channels,” 58th Allerton Conference on Communication, Control, and Computing, Sep 2022.
  30. U. Sajid, M. Chow, J. Zhang, T. Kim, and G. Wang, “Parallel Scale-wise Attention Network for Effective Scene Text Recognition,” International Joint Conference on Neural Networks (IJCNN), 2021.
  31. U. Sajid, X. Chen, H. Sajid, T. Kim, and G. Wang, “Audio-Visual Transformer Based Crowd Counting”, International Conference on Computer Vision (ICCV) Workshop, 2021.
  32. A. Bhattacharya, E. Rutter, C. G. Brinton, T. Kim, and D. R. Diaz, “Predicting in-Season Soil Mineral Nitrogen in Corn Production Using Deep Learning Models,” 2021 ASA, CSSA, SSSA International Annual Meeting, Salt Lake City, UT, Nov 2021.
  33. M. S. Oh, S. Hosseinalipour, T. Kim, C. G. Brinton, and D. J. Love, “Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach,” IEEE International Conference on Communications (ICC), Montreal, Canada, 2021.
  34. J. Kim, S. Hosseinalipour, T. Kim, D. J. Love, and C. G. Brinton, “Multi-IRS-assisted Multi-Cell Uplink MIMO Communications under Imperfect CSI: A Deep Reinforcement Learning Approach,” IEEE International Conference on Communications (ICC) Workshop, Montreal, Canada, 2021.
  35. B. Badnava, T. Kim, K. Cheung, Z. Ali, and M. Hashemi, “Spectrum-Aware Mobile Edge Computing for UAVs Using Reinforcement Learning,” IEEE/ACM Symposium on Edge Computing (SEC), 2021.
  36. J. Kim, T. Kim, M. Hashemi, C. G. Brinton, D. J. Love, “Joint Optimization of Signal Design and Resource Allocation in Wireless D2D Edge Computing,” IEEE International Conference on Computer Communications (INFOCOM), Beijing, China, April 2020.
  37. J. Wu, M. Wang, Y. Chan, E. Wong, and T. Kim, “Performance Evaluation of 5G mmWave Networks with Physical-Layer and Capacity-Limited Blocking”, IEEE 21st International Conference on High Performance Switching and Routing (HPSR), Newark, NJ, USA, May 2020.
  38. Q. Duan, T. Kim, H. Ghauch, and E. Wong, “Enhanced Beam Alignment for Millimeter Wave MIMO Systems: A Kolmogorov Model”, IEEE Global Communications Conference (Globecom), Taipei, Taiwan, December 2020.
  39. L. Yao, M. Hashemi, T. Kim, and E. Perrins, “Delay-Efficient and Reliable Data Relaying in Ultra Dense Networks using Rateless Codes”, IEEE Global Communications Conference (Globecom), Taipei, Taiwan, December 2020.
  40. H. Ghauch, T. Kim, C. Fischione, and M. Skoglund, “Compressive Sensing with Applications to Millimeterwave Architectures”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 2019.
  41. G. Xiong, T. Kim, and E. Perrins “Decorrelation Deep Learning for Fingerprint-based Indoor Localization”, International Telemetry Conference, Las Vegas, NV, USA, Oct 2019.
  42. W. M. Chan, H. Ghauch, T. Kim, and G. Fodor, “Kolmogorov Model for Large Millimeter-Wave Antenna Arrays: Learning-based Beam-Alignment”, The 53rd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Nov 2019.
  43. R. Simeon, T. Kim, and E. Perrins, “Channel Estimation Using Gaussian Process Regression”, International Telemetry Conference, Las Vegas, Na, Oct 2019.
  44. H. Ghauch, T. Kim, M. Skoglund, and C. Fischione, “Low-Overhead Coordination in Sub-28 Millimeter-Wave Networks”, IEEE International Conference on Communications (ICC), Kansas City, KS, USA, May 2018.
  45. G. Xiong, T. Kim, and D. J. Love, “Distributed Filter Design and Power Allocation for Small-Cell MIMO Networks”, IEEE Vehicular Technology Conference Fall, Toronto, Canada, Sep 2017.
  46. W. M. Chan, T. Kim, H. Ghauch, M. Bengtsson, “Subspace Estimation and Hybrid Precoding for Wideband Millimeter-Wave MIMO System”, IEEE 50th Asilomar Conf., Pacific Grove, CA, November 2016 (Invited Paper ).
  47. W. Zhang, T. Kim, and D. J. Love, “Sparse Subspace Decomposition for Millimeter Wave MIMO Channel Estimation”, IEEE Global Communications Conference (Globecom), Washington D.C., USA, December 2016.
  48. M. Dong and T. Kim, “Reliability of an Urban Millimeter Wave Communication Link with First-Order Reflections”, IEEE Global Communications Conference (Globecom), Washington D.C., USA, December 2016.
  49. T. Kim and D. J. Love, “Virtual AoA and AoD Estimation for Sparse Millimeter Wave MIMO Channels”, IEEE International Workshop on Signal Processing Advanced in Wireless Communications (SPAWC), Stockholm, Sweden, June 2015 (Invited Paper ).
  50. H. Ghauch, M. Bengtsson, T. Kim, and M. Skoglund, “Subspace Estimation and Decomposition for Hybrid Analog-Digital Millimetre-Wave MIMO systems”, IEEE International Workshop on Signal Processing Advanced in Wireless Communications (SPAWC), Stockholm, Sweden, June 2015.
  51. Q. Duan, T. Kim, H. Huang, K. Liu, G. Wang, “AoD and AoA Tracking with Directional Sounding Beam Design for Millimeter Wave MIMO Systems”, IEEE PIMRC 2015 Workshop, Hong Kong, September 2015.
  52. M. Dong, W. M. Chan, T. Kim, K. Liu, H. Huang, G. Wang, “Simulation Study on Millimeter Wave 3D Beamforming Systems in Urban Outdoor Multi-Cell Scenarios Using 3D Ray Tracing”, IEEE PIMRC 2015 Workshop, Hong Kong, September 2015.
  53. J. He, T. Kim, H. Ghauch, K. Liu, and G. Wang, “Millimeter Wave MIMO Channel Tracking Systems”, IEEE Global Communications 2014 Workshop, Austin, TX, December 2014.
  54. T. Kim, S. Choudhury, K. Doppler, and M. Skoglund, “Simultaneous Polling Mechanism with Uplink Power Control for Low Power Sensor Nodes”, IEEE Vehicular Technology Conference Spring, Dresden, Germany, June 2013.
  55. H. Ghauch, T. Kim, M. Bengtsson, and M. Skoglund, “Interference Alignment via Controlled Perturbations”, IEEE Global Communications Conference (Globecom), Atlanta, GA, December 2013.
  56. D. J. Love, S. Hur, J. Krogmeier, T. Thomas, A. Ghosh, and T. Kim, “On Beam Alignment for Outdoor Millimeter Wave Beamforming Systems”, Information Theory and Applications Workshop, San Diego, CA, 2012.
  57. T. Kim, S. Choudhury, Z. Jin, K. Doppler, and C. Ghosh, “Simultaneous Polling Mechanism for Low Power Sensor Networks Using ZC Sequences”, IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Sydney, Australia, September 2012 (Best Paper Award of 2012 IEEE PIMRC ).
  58. T. Kim, D. J. Love, and B. Clerckx, “Instantaneous Degrees of Freedom of Downlink Interference Channels with Multiuser Diversity”, IEEE 45th Asilomar Conf., Pacific Grove, CA, November 2011 (Invited Paper ).
  59. T. Kim, D. J. Love, and B. Clerckx, “Spatial Degrees of Freedom of Multicell MIMO Multiple Access Channel”, IEEE Global Communications Conference (Globecom), Houston, Tx, December 2011.
  60. S. Hur, T. Kim, D. J. Love, J. Krogmeier, T. Thomas, and A. Ghosh, “Multilevel Millimeter Wave Beamforming for Wireless Backhaul”, IEEE Global Communications Conference (Globecom), Houston, Tx, December 2011.
  61. T. Kim, D. J. Love, and B. Clerckx, “Leveraging Temporal Correlation for Limited Feedback Multiple Antennas Systems,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Dallas, TX, April 2010.
  62. T. Kim, D. J. Love, and B. Clerckx, “A Feedback Update Control Scheme for Limited Feedback Multiple Antennas Systems”, IEEE Global Communications Conference (Globecom), Miami, FL, December 2010.
  63. T. Kim, B. Clerckx, D. J. Love, and S. Kim, “Limited Feedback Beamforming Codebook Design for DualPolarized MIMO Channels,” IEEE Global Communications Conference (Globecom), New Orleans, LA, December 2008.
  64. T. Kim, D. J. Love, B. Clerckx, and S. Kim, “Differential Rotation Feedback MIMO System for Temporally Correlated Channels,” IEEE Global Communications Conference (Globecom), New Orleans, LA, December 2008.
  65. T. Kim, and I. Eo, “Blind Channel Estimation and Equalization in OFDM System with Circular Precoding,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, France, May 2006.
  66. H. Kim, H. Park, T. Kim, I. Eo, “Performance Analysis of a DSTTD System with Decision-Feedback Detection,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, France, May 2006.
  67. T. Kim, I. Eo, J. Nho, and K. Jang, “Timing Synchronizer for IEEE 802.16e: its Architecture and Methods,” Korean Semiconductor Conference (KSC), Cheju, Korea, 2006.
  68. T. Kim, and I. Eo, “Reliable blind channel estimation scheme based on cross-correlated cyclic prefix for OFDM system,” 8th International Conference Advanced Communication Technology, Korea, 2006.
  69. T. Kim, I. Eo, and J. Chun, “Reconstruction of Coupling Profiles for Scattering Media by the Schur Algorithm Combined with an Extrapolation Method,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Philadelphia, March 2005.

Teaching

Courses

Subjects and semesters are listed without course-site or syllabus links.

Arizona State University

CourseSubjectSemester and year
EEE 350Random Signal AnalysisFall 2026
EEE 551Information TheorySpring 2026
EEE 554Probability and Random ProcessesSpring and Fall 2025

Group

Research Group

Postdoctoral Researcher

  • Mohsen Moradi — February 2026–present

Ph.D. Students

  • Syed Ali Haider Shirazi — August 2025–present
  • Fengyuan Ye — August 2024–present
  • Ghilas Aissou — August 2023–present

M.S. Student

  • Shu-Chen Want — August 2025–present

Previously Supervised Postdoctoral Researchers

  • Omid Moghimi Kandelusy — January 2022–May 2023; now at Passive Logic
  • Salman Habib — February 2024–December 2025; now at Texas A&M University–Texarkana

Ph.D. Graduates

  • Dang Qua Nguyen — Ph.D. 2025; now at Apple
  • Usman Sajid — Ph.D. 2021; now at Samsung
  • Qiyou Duan — Ph.D. 2021; now at State Grid
  • Miaomiao Dong — Ph.D. 2020; now at Huawei
  • Wei Zhang — Ph.D. 2019; Assistant Professor at Harbin Institute of Technology, Shenzhen
  • Hadi Ghauch — Ph.D. 2017; Assistant Professor at Télécom Paris

M.S. Graduates

  • Sohan Chandra — M.S. 2023
  • Anushka Bhattacharya — M.S. 2022
  • Sergine Seck — M.S. 2022
  • Christian James Daniel — M.S. 2021
  • Yiju Yang — M.S. 2021
  • Guojun Xiong — M.S. 2020
  • Dung Nguyen Viet — M.S. 2021

Research Sponsors

Projects

Research Projects

Externally funded projects are listed from the current CV, including active and completed work.

  1. 1Lead PI, NSF Convergence Accelerator, Phase 2, “NSF Convergence Accelerator Track G: Combating Vulnerability and Unawareness in 5G Network Security” (with R. Chou (UTA), V. Marojevic (MSU), D. Love (Purdue), S. R. Hussain (PSU), S. Kim (ISU), H. Kwon (WSU), C. Vander Valk (Raytheon)), Sep 2023 – Dec 2026. ($5 million)Project website
  2. 2Lead PI, NSF CISE Medium, “GOALI: CNS Core: Medium: Communication-Computation Co-Design for Rural Connectivity and Intelligence under Nonuniformity: Modeling, Analysis, and Implementation” (with M. Hashemi (KU), C. Brinton (Purdue), D. Love (Purdue), J. Krogmeier (Purdue)), Nov 2022 – Oct 2027. ($1 million)Project website
  3. 3Lead PI, NSF CISE Small, “NSF-AoF: CNS Core: Small: Towards Scalable and Al-based Solutions for Beyond-5G Radio Access Networks” (with D. Love (Purdue), S. Vorovyov (Aalto)), Jan 2023 – Dec 2027. ($280,000 )Project website
  4. 4PI, Office of Naval Research (ONR) “Network-Aware Distributed Machine Learning and Sensor Fusion for Spectrum System Intelligence” (with C. Brinton (Lead PI, Purdue), D. Love (Purdue)), Jan 2022 – Dec 2026. ($597,776 )
  5. 5(Completed ) Co-PI, NSF CISE Medium, “Collaborative Research: CNS Core: Medium: Combating Latency and Disconnectivity in MmWave networks: From Theory to Implementation” (with N. Shroff (Lead PI, OSU), M. Hashemi (KU PI, KU), E. Ekici (OSU)), Oct 2020 – Sep 2026. ($428,000)
  6. 6(Completed ) Lead PI, NSF Convergence Accelerator, Phase 1, “NSF Convergence Accelerator Track G: Combating Vulnerability and Unawareness in 5G Network Security: Signaling and Full-Stack Approach” (with R. Chou (UTA), D. Love (Purdue), S. Fahmy (Purdue)), July 2022 – June 2024. ($750,000)
  7. 7(Completed ) Co-PI, NASA, “Spectrum Management Framework for Unmanned Aerial Systems and Traffic Management in BVLOS: From Assessment to Modeling and Analysis” (with M. Hashemi (PI, KU), E. Perrins (KU), M. Ewing (KU)), Oct 2020 – Sep 2025. ($399,903 )
  8. 8(Completed ) Co-PI, National Spectrum Consortium (NSC), “Space Time Coding for Multi-h CPM” (with E. Perrins (PI, KU)), Nov 2017 – Oct 2024. ($964,770 )
  9. 9(Completed ) PI, NSF SII, Phase 1, “Spectrum Innovation Initiative (SII) Planning: Spectrum-Agile Cognitive Communications for Terrestrial and Space Applications” (with UNM [Lead], CMU, ISU, Purdue, and WSU), Aug 2020 – July 2021 ($47,125 ).
  10. 10(Completed ) PI, NASA EPSCoR, “An Active Learning Framework for Increasing Generalizability of Machine Learning Models”, July 2020 – June 2021. ($99,994 )
  11. 11(Completed ) PI, Naval Surface Warfare Center, Crane Division, “Distributed Machine Learning and Sensor Fusion For Spectrum Sensing System Optimization” (with C. Brinton (Lead PI, Purdue), D. Love (Purdue), M. Hashemi (KU)), , July 2020 – Aug 2020. ($19,355 )
  12. 12(Completed ) PI, AFRL, “Wideband Fast Spatial Spectrum Sensing Using Digital Beamforming,” May 2020 – May 2021. ($82,800 )
  13. 13(Completed ) PI, Samsung Electronics CO., LTD., “Automatic Cell Planning” (with E. Perrins (KU)), August 2019 – July 2020. ($150,133 )