NC State University | xGI Initiative
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Research Output

Publications

Selected publications from xGI faculty across the initiative's five research areas, including journal articles, conference papers, and books. Filter by research area.

Research Area

Showing 135 publications.

Space Booking: Enabling Performance-Critical Applications in Broadband Satellite Networks.

Authors: Wang, Xiaojian, Ruozhou Yu, Dejun Yang, Guoliang Xue, Qiushi Wei, Huayue Gu, and Zhouyu Li.

Venue: In 2025 IEEE 45th International Conference on Distributed Computing Systems (ICDCS), pp. 989-999. IEEE, 2025.

Robust resource provisioning in time-varying edge networks.

Authors: Yu, Ruozhou, Guoliang Xue, Yinxin Wan, Jian Tang, Dejun Yang, and Yusheng Ji.

Venue: In Proceedings of the Twenty-First International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, pp. 21-30. 2020.

UAV-Based 3D Spectrum Sensing Using Kriging and Matrix Completion: Insights on Altitude, Bandwidth, Trajectory, and Antenna Patterns.

Authors: M. Rahman, S. J. Maeng, I. Guvenc, C. W. Wong, M. L. Sichitiu, J. A. Abrahamson, and A. Bhuyan.

Venue: IEEE Sensors, May 2026.

O-DSS: An Open Dynamic Spectrum Sharing Framework for Cellular-Radar Coexistence in Mid-band Frequencies.

Authors: Chiejina, A., Muruganandham, D., Chaudhary, V., Chowdhury, K., & Shah, V. K. (2026).

Venue: IEEE INFOCOM 2026 - IEEE Conference on Computer Communications (pp. 1-10)(to appear). Preprint available at arXiv:2601.02571.

Black-Box Evasion Attacks on Data-Driven Open RAN Apps: Tailored Design and Experimental Evaluation.

Authors: Gajjar, P., Khoja, M., Ganiyu, A., Juarez, M., Marina, M. K., Lehane, A., & Shah, V. K. (2025).

Venue: Proceedings of the ACM on Networking, 3(CoNEXT4), 1-26, 2025.

AI5GTest: AI-Driven Specification-Aware Automated Testing and Validation of 5G O-RAN Components.

Authors: Ganiyu, A., Gajjar, P., & Shah, V. K. (2025).

Venue: In the 18th ACM Conference on Security and Privacy in Wireless and Mobile Networks (pp. 53-64), June 2025.

SenseORAN: O-RAN-Based Radar Detection in the CBRS Band.

Authors: Guillem Reus-Muns, Pratheek S. Upadhyaya, Utku Demir, Nathan Stephenson, Nasim Soltani, Vijay K. Shah, and Kaushik R. Chowdhury.

Venue: IEEE Journal on Selected Areas in Communications, vol. 42, no. 2, pp. 326-338, Feb. 2024.

SPARC: Spatio-Temporal Adaptive Resource Control for Multi-site Spectrum Management in NextG Cellular Networks.

Authors: Ghosh, U., Chiejina, A., Stephenson, N., Shah, V. K., Shakkottai, S., & Bharadia, D. (2024).

Venue: Proceedings of the ACM on Networking, 2(CoNEXT4), 1-18, 2024.

IEEE Communications Society William R. Bennett Prize

Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks.

Authors: S. Hosseinalipour, S. S. Azam, C. G. Brinton, N. Michelusi, V. Aggarwal, D. J. Love, and H. Dai.

Venue: IEEE Trans. Networking, vol. 30, no. 4, pp. 1569-1584, Aug. 2022.

TeleResilienceBench: Quantifying Resilience for LLM Reasoning in Telecommunications.

Authors: Gajjar, P., Ojo, E., & Shah, V. K.

Venue: arXiv preprint arXiv:2605.09929, 2026.

Advanced AI Service Provisioning in O-RAN through LLM Engine Integration.

Authors: Natanzi, S. B. H., Gajja, P., Tang, B., & Shah, V. K.

Venue: arXiv preprint arXiv:2605.23809, 2026.

TeleEmbedBench: A Multi-Corpus Embedding Benchmark for RAG in Telecommunications.

Authors: Gajjar, P., & Shah, V. K.

Venue: arXiv preprint arXiv:2604.17778, 2026.

Enhancing Confidence Estimation in Telco LLMs via Twin-Pass CoT-Ensembling.

Authors: Saenko, A., Gajjar, P., Ganiyu, A., & Shah, V. K.

Venue: IEEE Vehicular Technology Conference (VTC), 2026 (to appear). Preprint available at arXiv:2604.13271.

Oransight-2.0: Foundational LLMs for O-RAN.

Authors: Gajjar, P., & Shah, V. K.

Venue: IEEE Transactions on Machine Learning in Communications and Networking, 2025.

Generative Artificial Intelligence Models for Emerging Communication Systems: Fundamentals and Challenges.

Authors: Z. Peng, Y. Liu, G. Li, Z. Yang, M. Chen, D. Xu, and X. Lin

Venue: IEEE Communications Magazine (COMMAG), 2025.

Graph Neural Networks for the Optimization of Collaborative Federated Learning Energy Efficiency.

Authors: N. Yang, S. Wang, Y. Liu, C. Brinton, C. Yin, and M. Chen

Venue: IEEE Transactions on Mobile Computing (TMC), 2025.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks.

Authors: X. Luo, Z. Li, Z. Peng, M. Chen, and Y. Liu

Venue: IEEE Transactions on Cognitive Communications and Networking (TCCN), 2025.

Synergizing AI and Digital Twins for Next Generation Network Optimization, Forecasting, and Security.

Authors: Z. Zhang, M. Fang, D. Chen, X. Yang, and Y. Liu

Venue: IEEE Wireless Communications (WCM), 2025.

Best Paper Award Runner-up

Revolutionizing Wireless Modeling and Simulation with Network-Oriented LLMs.

Authors: J. Liu, Z. Peng, D. Xu, and Y. Liu

Venue: IEEE International Performance Computing and Communications Conference (IPCCC), 2024.

Geometry via Vision Transformer: Learning by Proximal Updates.

Authors: H. Yun, E. Chouzenoux, B. Jiang, J.C. Pesquet, H. Krim

Venue: Submitted to Signal Processing Journal, 2026 (under review).

Deep transform and metric learning network: Wedding deep dictionary learning and neural network.

Authors: W. Tang, É. Chouzenoux, J.C. Pesquet, and H. Krim

Venue: Neurocomputing, 509: 244-256, 2022.

Robustness Reprogramming for Representation Learning.

Authors: Z. Hou, M. Torkamani, H. Krim, X. Liu

Venue: International Conference on Learning Representations (ICLR), Singapore, 2025.

Koopcon: A new approach towards smarter and less complex learning.

Authors: V. Jebraeeli, B. Jiang, D. Cansever, H. Krim

Venue: International Conference on Image Processing (ICIP), Abu Dhabi, 2024.

WeGeFT: Weight-Generative Fine-Tuning for Multi-Faceted Efficient Adaptation of Large Models.

Authors: Savadikar, Chinmay and Song, Xi and Wu, Tianfu

Venue: International Conference on Machine Learning (ICML), 2025.

HarmonyGNNs: Harmonizing Heterophily and Homophily in GNNs via Joint Structural Node Encoding and Self-Supervised Learning.

Authors: Xue, Rui and Wu, Tianfu

Venue: International Conference on Learning Representations (ICLR), 2026.

CHEEM: Continual Learning by Reuse, New, Adapt and Skip-- A Hierarchical Exploration-Exploitation Approach.

Authors: Savadikar, Chinmay and Dai, Michelle and Wu, Tianfu

Venue: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.

Adversarial Perturbations Are Formed by Iteratively Learning Linear Combinations of the Right Singular Vectors of the Adversarial Jacobian.

Authors: Paniagua, Thomas and Savadikar, Chinmay and Wu, Tianfu

Venue: International Conference on Machine Learning (ICML), 2025.

PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers.

Authors: Grainger, Ryan and Paniagua, Thomas and Song, Xi and Cuntoor, Naresh and Lee, Mun Wai and Wu, Tianfu

Venue: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

SCALE: Towards collaborative content analysis in social science with large language model agents and human intervention.

Authors: C. Zhao, Z. Tan, C.-W. Wong, X. Zhao, T. Chen, and H. Liu

Venue: Annual Meeting of the Association for Computational Linguistics (ACL), Vienna, Austria, 2025.

Boston University Award for Top Paper

Serving multicultural publics: Assessing the role of dialogic communication and cultural tailoring strategies of GenAI chatbots in government OPRs for disasters.

Authors: W. Liu, X. Zhao, Y. Sun, and C.-W. Wong

Venue: 28th International Public Relations Research Conference (IPRRC), Orlando, FL, 2025.

PortLLM: Personalizing evolving large language models with training-free and portable model patches.

Authors: R. M. Shahroz Khan, P. Li, S. Yun, Z. Wang, S. Nirjon, C.-W. Wong, and T. Chen

Venue: International Conference on Learning Representations (ICLR), Singapore, 2025.

NTK-DFL: Enhancing decentralized federated learning in heterogeneous settings via neural tangent kernel.

Authors: G. Thompson, K. Yue, C.-W. Wong, and H. Dai

Venue: International Conference on Machine Learning (ICML), Vancouver, Canada, 2025.

Neural tangent kernel empowered federated learning.

Authors: K. Yue, R. Jin, R. Pilgrim, C.-W. Wong, D. Baron, H. Dai

Venue: International Conference on Machine Learning (ICML), Baltimore, MD, 2022.

Noisy SIGNSGD Is More Differentially Private Than You (Might) Think.

Authors: R. Jin and H. Dai

Venue: International Conference on Machine Learning (ICML), Vancouver, Canada, 2025.

GSBAK: Top-K Geometric Score-based Black-box Attack.

Authors: M. F. Reza, R. Jin, T. Wu, and H. Dai

Venue: International Conference on Learning Representations (ICLR), Singapore, 2025.

Breaking the Communication-Privacy-Accuracy Tradeoff with f-Differential Privacy.

Authors: R. Jin, Z. Su, C. Zhong, Z. Zhang, T. Quek, and H. Dai

Venue: Proceedings of the 37th International Conference on Neural Information Processing Systems (NeurIPS), New Orleans, LA, 2023.

Gradient Obfuscation Gives a False Sense of Security in Federated Learning.

Authors: K. Yue, R. Jin, C. Wong, D. Baron, and H. Dai

Venue: USENIX Security Symposium, Anaheim, CA, 2023.

Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions.

Authors: M. Lee, G. Yu, H. Dai, and G. Y. Li

Venue: IEEE Wireless Communications, vol. 29, no. 5, pp. 12-19, 2022.

Traffic Engineering in Large-scale Networks with Generalizable Graph Neural Networks.

Authors: Sihao Liu, Fangtong Zhou, Xiaorui Liu, Ruozhou Yu, Guoliang Xue

Venue: IEEE Transactions on Networking (ToN), 2026.

Harnessing Trust in Directed Graphs: Redefining Robustness of Graph Learning.

Authors: Zhichao Hou, Xitong Zhang, Wei Wang, Charu Aggarwal, Xiaorui Liu

Venue: ACM Transactions on Knowledge Discovery from Data (TKDD), 2026.

Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization.

Authors: Weizhi Gao, Zhichao Hou, Junqi Yin, Feiyi Wang, Linyu Peng, Xiaorui Liu

Venue: International Conference on Machine Learning (ICML), 2025.

Efficient End-to-end Language Model Fine-tuning on Graphs.

Authors: Rui Xue, Xipeng Shen, Ruozhou Yu, Xiaorui Liu

Venue: ACM International Conference on Knowledge Discovery & Data Mining (KDD), 2025.

Spotlight Paper

Robustness Reprogramming for Representation Learning.

Authors: Zhichao Hou, MohamadAli Torkamani, Hamid Krim, Xiaorui Liu

Venue: International Conference on Learning Representations (ICLR), 2025.

mSAC: Enhancing Localization with mmWave Sensing and Orthogonal Signals

Authors: Mengning Li, Haochen Zhu, Wenye Wang, and Eylem Ekici

Venue: IEEE INFOCOM 2025 - IEEE Conference on Computer Communications, London, United Kingdom, pp. 1-10, 2025.

Best Paper Award

Hybrid Zone: Bridging Acoustic and Wi-Fi for Enhanced Gesture Recognition

Authors: Mengning Li and Wenye Wang

Venue: IEEE INFOCOM 2024 - IEEE Conference on Computer Communications, Vancouver, BC, Canada, pp. 981-990, 2024.

Detection and Classification of UAVs Using RF Fingerprints in the Presence of Interference

Authors: M. Ezuma, F. Erden, C. K. Anjinappa, O. Ozdemir, and I. Guvenc

Venue: IEEE Open Journal of the Communications Society, Jan. 2020.

Leveraging Cellular ISAC and Passive RF Sensing for UAV Detection and Tracking

Authors: C. Dickerson, S. Kearney, S. Manjur, I. Guvenc, S. Gurbuz, A. Gurbuz, O. Ozdemir, and M. Sichitiu

Venue: Proceedings of the IEEE Asilomar Conference, Pacific Grove, CA, Oct. 2025.

A Survey on Detection, Classification, and Tracking of Aerial Threats using Radar and Communications Systems

Authors: W. Khawaja, M. Ezuma, V. Semkin, F. Erden, O. Ozdemir, and I. Guvenc

Venue: IEEE Communications Surveys and Tutorials, 2024.

Physics-Guided Deep Neural Networks for Radar-Based UAV Recognition in Different Environments With No Prior In Situ Data

Authors: S. Kearney and S. Z. Gurbuz

Venue: IEEE Transactions on Aerospace and Electronic Systems, vol. 62, pp. 9875-9891, 2026.

CV-SincNet: Learning Complex Sinc Filters From Raw Radar Data for Computationically Efficient Human Motion Recognition

Authors: S. Biswas, C. O. Ayna, S. Z. Gurbuz and A. C. Gurbuz

Venue: IEEE Transactions on Radar Systems, vol. 1, pp. 493-504, 2023.

Physics-Aware Generative Adversarial Networks for Radar-Based Human Activity Recognition

Authors: M. M. Rahman, S. Z. Gurbuz and M. G. Amin

Venue: IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 3, pp. 2994-3008, June 2023.

Experimental Validation of a 3GPP compliant 5G-based Positioning System

Authors: Sarik Dhungel, Gaurav Duggal, Dara Ron, Nishith D. Tripathi, R. M. Buehrer, J. H. Reed, and Vijay K. Shah

Venue: Proceedings of the 30th Annual International Conference on Mobile Computing and Networking (MobiCom), pp. 1946-1953, 2024.

I2SAC: AI-enabled Digital-Twin Framework on a mmWave 64-element Phased Array for Integrated Imaging, Sensing, and Communication

Authors: V. Reddy, J. Sober, L. Hogan, and S. Venkatesh

Venue: International Microwave Symposium (IMS), RFSA, 2026 (Accepted)

Physical Layer Security Through Directional Modulation With Spatio-Temporal Millimeter-Wave Transmitter Arrays

Authors: X. Lu, S. Venkatesh, B. Tang and K. Sengupta

Venue: IEEE Journal of Solid-State Circuits, vol. 59, no. 9, pp. 2831-2847, Sept. 2024

A mmWave Software-Defined Array Platform for Wireless Experimentation at 24-29.5 GHz

Authors: A. P. Ganesh, A. Perre, A. Şahin, İ. Güvenç and B. A. Floyd

Venue: MILCOM 2024 - 2024 IEEE Military Communications Conference, pp. 1-6, 2024

Toward mixed analog-digital quantum signal processing: Quantum ad/da conversion and the fourier transform

Authors: Liu, Yuan, John M. Martyn, Jasmine Sinanan-Singh, Kevin C. Smith, Steven M. Girvin, and Isaac L. Chuang

Venue: IEEE Transactions on Signal Processing, 2025

Early Warning of mmWave Signal Blockage Using Diffraction Properties and Machine Learning

Authors: A. Fallah Dizche, A. Duel-Hallen and H. Hallen

Venue: IEEE Communications Letters, vol. 26, no. 12, pp. 2944-2948, Dec. 2022

Propagation Measurements and Coverage Analysis for mmWave and Sub-THz Frequency Bands with Transparent Reflectors

Authors: A. P. Ganesh, W. Khawaja, O. Ozdemir, and I. Guvenc

Venue: Proceedings of the IEEE Vehicular Technology Conference (VTC), June 2023

Precoder Design for Physical-Layer Security and Authentication in Massive MIMO UAV Communications

Authors: S. J. Maeng, Y. Yapici, I. Guvenc, A. Bhuyan, and H. Dai

Venue: IEEE Transactions on Vehicular Technology, Dec. 2021

Deep Reinforcement Learning for AoI-Aware Trajectory and Phase-shift Design in IRS-Assisted UAV Data Collection

Authors: J. Tang, J. Liu, X. He, L. Xie, L. Qu, and H. Dai

Venue: IEEE Transactions on Wireless Communications, vol. 24, no. 12, pp. 10613-10628, Dec. 2025

Base Station Antenna Uptilt Optimization for Cellular-Connected Drone Corridors

Authors: S. J. Maeng, M. Chowdhury, I. Guvenc, A. Bhuyan, and H. Dai

Venue: IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 4, pp. 4729-4737, Aug. 2023

Optimal Relay Probing for UAV Millimeter Wave Communications with Beam Training Overhead

Authors: Z. Song, J. An, H. Ding, and H. Dai

Venue: IEEE Transactions on Vehicular Technology, vol. 72, no. 6, pp. 7351-7363, Jun. 2023

Hybrid Beamforming and Adaptive RF Chain Activation for Cell-Free Millimeter-Wave Massive MIMO Systems

Authors: N. Nguyen, K. Lee, and H. Dai

Venue: IEEE Transactions on Vehicular Technology, vol. 71, no. 8, pp. 8739-8755, Aug. 2022

Shape Synthesis and 3-D Ceramic Printing of Non-Canonical MIMO Dielectric Resonator Antennas

Authors: B. Yang, J. Kim, T. Bellundagi and J. J. Adams

Venue: IEEE Open Journal of Antennas and Propagation, vol. 6, no. 6, pp. 1763-1772, Dec. 2025

An Efficient Method for Complex Digitally Coded Antenna Design Based on Evolutionary Computation and Machine Learning Techniques

Authors: T. Wu, B. Liu, Q. Hua, M. O. Akinsolu, D. P. Buch, and J. J. Adams

Venue: IEEE Transactions on Antennas and Propagation, vol. 73, no. 12, pp. 9734-9747, Dec. 2025

Outstanding Paper Award

Jointly Ensuring Timing Disparity and End-to-End Latency Constraints in Hybrid DAGs

Authors: Jinghao Sun, Xisheng Li, Mingyang Gong, Nan Guan, Zhishan Guo, Mingsong Chen, Jun Zhao, Qingxu Deng

Venue: The 31st IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), Irvine, US, May 2025.

Estimation of Lower Extremity Joint Moments and 3D Ground Reaction Forces Using IMU Sensors in Multiple Walking Conditions: A Deep Learning Approach

Authors: Md Sanzid Bin Hossain, Zhishan Guo and Hwan Choi

Venue: IEEE Journal of Biomedical and Health Informatics, 27(6): 2829-2840, June 2023.

Best Paper Award

SEAM: An Optimal Message Synchronizer in ROS with Well-Bounded Time Disparity

Authors: Jinghao Sun, Tianyi Wang, Yang Li, Nan Guan, Zhishan Guo, Qingxu Deng, Guozhen Tan

Venue: 2023 IEEE Real-Time Systems Symposium (RTSS), Taipei, December 2023.

Best Paper Award

Efficient Feasibility Analysis for Graph-based Real-Time Task Systems

Authors: Jinghao Sun, Rongxiao Shi, Kexuan Wang, Nan Guan and Zhishan Guo

Venue: International Conference on Embedded Software (EMSOFT), September 2020, pp. 3385-3397.

Outstanding Paper Award, Best Student Paper Award

Mixed-Criticality Multicore Scheduling of Real-Time Gang Task Systems

Authors: Ashikahmed Bhuiyan, Kecheng Yang, Samsil Arefin, Abusayeed Saifullah, Nan Guan and Zhishan Guo

Venue: 2019 IEEE Real-Time Systems Symposium (RTSS), Hong Kong, December 2019, pp. 469-480.

A data-driven method for safety-critical control: Designing control barrier functions from state constraints

Authors: Lee, Jaemin, Jeeseop Kim, and Aaron D. Ames

Venue: 2024 American Control Conference (ACC). IEEE, 2024.

Safety-critical control of quadrupedal robots with rolling arms for autonomous inspection of complex environments

Authors: Lee, Jaemin, Jeeseop Kim, Wyatt Ubellacker, Tamas G. Molnar, and Aaron D. Ames

Venue: 2024 IEEE International Conference on Robotics and Automation (ICRA), pp. 3485-3491. IEEE, 2024.

Hierarchical relaxation of safety-critical controllers: Mitigating contradictory safety conditions with application to quadruped robots

Authors: Lee, Jaemin, Jeeseop Kim, and Aaron D. Ames

Venue: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2023.

Real-Time Model Predictive Control for Industrial Manipulators with Singularity-Tolerant Hierarchical Task Control

Authors: Lee, Jaemin, Mingyo Seo, Andrew Bylard, Robert Sun, and Luis Sentis

Venue: 2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 12282-12288. IEEE, 2023.

Dynamic locomotion for passive-ankle biped robots and humanoids using whole-body locomotion control

Authors: Kim, Donghyun, Steven Jens Jorgensen, Jaemin Lee, Junhyeok Ahn, Jianwen Luo, and Luis Sentis

Venue: The International Journal of Robotics Research 39, no. 8 (2020): 936-956.

A multimodal sensing platform for interdisciplinary research in agrarian environments

Authors: Reynolds, J., Williams, E., Martin, D., Readling, C., Ahmmed, P., Huseth, A. and Bozkurt, A.

Venue: Sensors, 22(15), p.5582. DOI: 10.3390/s22155582, 2022.

Preliminary evaluation of a system with on-body and aerial sensors for monitoring working dogs

Authors: Foster, M., Wu, T., Roberts, D.L. and Bozkurt, A.

Venue: Sensors, 22(19), p.7631. DOI: 10.3390/s22197631, 2022.

Preliminary evaluation of dog-drone technological interfaces: Challenges and opportunities

Authors: Foster, M., Agcayazi, T., Agcayazi, T., Wu, T., Gruen, M., Roberts, D.L. and Bozkurt, A.

Venue: Proceedings of the Sixth International Conference on Animal-Computer Interaction (pp. 1-5). DOI: 10.1145/3371049.3371065, Nov. 2019.

Contact-free simultaneous sensing of human heart rate and canine breathing rate for animal assisted interactions

Authors: Holder, T., Rahman, M., Summers, E., Roberts, D., Wong, C.W. and Bozkurt, A.

Venue: Proceedings of the Ninth International Conference on Animal-Computer Interaction (pp. 1-10). DOI: 10.1145/3565995.3566039, Dec. 2022.

Noncontact electrophysiology monitoring systems for assessment of canine-human interactions

Authors: Ahmmed, P., Holder, T., Foster, M., Castro, I.D., Patel, A., Torfs, T. and Bozkurt, A.

Venue: 2021 IEEE Sensors (pp. 1-4). DOI: 10.1109/SENSORS47087.2021.9639748, Oct. 2021.

Atlantic Hurricane Activity Prediction: A Machine Learning Approach

Authors: T. Asthana, X. Sun, S. Roheda, L. Xie, and H. Krim

Venue: Journal of Atmosphere, Section Atmospheric Techniques, Instruments, and Modeling, Special Issue 'Recent Advances and Future Prospects of Machine Learning in Predictive Modeling of Atmospheric Sciences', 2021.

Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion

Authors: Sally Ghanem, Ashkan Panahi, Ryan A. Kerekes, and Hamid Krim

Venue: IEEE Sensors Journal, 2020.